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	<title>集智百科 - 复杂系统|人工智能|复杂科学|复杂网络|自组织 - 用户贡献 [zh-cn]</title>
	<link rel="self" type="application/atom+xml" href="https://wiki.swarma.org/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=%E8%B6%A3%E6%9C%A8%E6%9C%A8"/>
	<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php/%E7%89%B9%E6%AE%8A:%E7%94%A8%E6%88%B7%E8%B4%A1%E7%8C%AE/%E8%B6%A3%E6%9C%A8%E6%9C%A8"/>
	<updated>2026-11-02T20:37:41Z</updated>
	<subtitle>用户贡献</subtitle>
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	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37984</id>
		<title>用户:趣木木</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37984"/>
		<updated>2024-09-23T22:53:09Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==我与集智的故事。==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
我对什么才是一篇好的英文翻译词条的深刻思考，源于两句话。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
一句是：'''“知识由我而来，问题到我为止”'''。这句话给了我很大的触动，我开始想，如果我翻译一个词条，我能做到什么问题到我为止，不再给其余人添加不必要的工作呢？格式规范、有违中国人的语句结构修改、对于一些模糊不清的信息再次审查求证、自己对于翻译语句的一些思考.....我觉得这些是我能够做的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
另外一句“同学还需努力哈，机器翻译的痕迹有些重”。突然间好像点醒了我，如果说软件的翻译可以完全承担翻译工作的话，那么我在其中的作用是什么呢？或许机器翻译时不会管读者读的时候易不易于理解、通不通顺、长短句该不该划分开....但是我可以。考虑到读者阅读词条时怎样能更快速的获取到自己想要的信息，让它变成一个有温度的词条，关怀到阅读这些词条的人，也是我可以做的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
找到了自己在其中所能起的作用，另外恶补了复杂系统的一些入门知识，慢慢的，翻译词条变成了一种很想做的事情，也切实感觉到自己在这个过程中的成长，不论是翻译能力的提高，还是在整个团队交流的过程中我所学到的东西，无不让我受益匪浅。我开始意识到，所在做的工作的意义所在：人的生命是有限的，而生产的知识却可以延续下去。&lt;br /&gt;
&lt;br /&gt;
希望以后能做的更好一些，不断的去完善自己所负责的词条，去添加自己的思考，也不断的完善一下自己。&lt;br /&gt;
&lt;br /&gt;
==工作记录==&lt;br /&gt;
===工作记录一===&lt;br /&gt;
*对于专业名词一定一定记得核对清楚，保留一下参考文献，以免后期复查时丢失&lt;br /&gt;
*采取短时间翻译词条的方式进行内容生产&lt;br /&gt;
*多查看一下附加内容，会给翻译的思路带来启发&lt;br /&gt;
&lt;br /&gt;
===工作记录二===&lt;br /&gt;
*在翻译页面时，注意一段英文对应一段中文，便于审校&lt;br /&gt;
*分类记得用小标题分隔开，文本格式记得要么用转行符，要么空两行&lt;br /&gt;
&lt;br /&gt;
以后也会时不时的更新一下主页，谢谢阅读。&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37983</id>
		<title>用户:趣木木</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37983"/>
		<updated>2024-09-23T22:51:17Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! 类别 !! 信息&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==我与集智的故事==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''“知识由我而来，问题到我为止”'''。这句话给了我很大的触动，我开始想，如果我翻译一个词条，我能做到什么问题到我为止，不再给其余人添加不必要的工作呢？格式规范、有违中国人的语句结构修改、对于一些模糊不清的信息再次审查求证、自己对于翻译语句的一些思考.....我觉得这些是我能够做的。如果说软件的翻译可以完全承担翻译工作的话，那么我在其中的作用是什么呢？或许机器翻译时不会管读者读的时候易不易于理解、通不通顺、长短句该不该划分开....但是我可以。考虑到读者阅读词条时怎样能更快速的获取到自己想要的信息，让它变成一个有温度的词条，关怀到阅读这些词条的人，也是我可以做的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
找到了自己在其中所能起的作用，另外恶补了复杂系统的一些入门知识，慢慢的，翻译词条变成了一种很想做的事情，也切实感觉到自己在这个过程中的成长，不论是翻译能力的提高，还是在整个团队交流的过程中我所学到的东西，无不让我受益匪浅。我开始意识到，所在做的工作的意义所在：人的生命是有限的，而生产的知识却可以延续下去。&lt;br /&gt;
&lt;br /&gt;
希望以后能做的更好一些，不断的去完善自己所负责的词条，去添加自己的思考，也不断的完善一下自己。&lt;br /&gt;
&lt;br /&gt;
==工作记录==&lt;br /&gt;
===工作记录一===&lt;br /&gt;
*对于专业名词一定一定记得核对清楚，保留一下参考文献，以免后期复查时丢失&lt;br /&gt;
*采取短时间翻译词条的方式进行内容生产&lt;br /&gt;
*多查看一下附加内容，会给翻译的思路带来启发&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
以后也会时不时的更新一下主页，谢谢阅读。&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37982</id>
		<title>用户:趣木木</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37982"/>
		<updated>2024-09-23T22:50:02Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! 类别 !! 信息&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==我与集智的故事==&lt;br /&gt;
&lt;br /&gt;
===相处===&lt;br /&gt;
说实话，一开始的时候我对复杂系统并没有什么概念，加入团队的一开始是想着提高一下自己的英文翻译能力以及多接触到一些以前没有触及到的知识。在一开始翻译时，因为有着很多自己从未了解过的专业名词，加上第一次进行翻译的工作，大部分的内容只能借助一些翻译软件进行机械的翻译。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
我对什么才是一篇好的英文翻译词条的深刻思考，源于两句话。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
一句是承担翻译词条的审校工作的佩佩姐说的：'''“知识由我而来，问题到我为止”'''。这句话给了我很大的触动，我开始想，如果我翻译一个词条，我能做到什么问题到我为止，不再给其余人添加不必要的工作呢？格式规范、有违中国人的语句结构修改、对于一些模糊不清的信息再次审查求证、自己对于翻译语句的一些思考.....我觉得这些是我能够做的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
另外一句是陈关荣教授在审校我所翻译的博弈论词条时，所说的“同学还需努力哈，机器翻译的痕迹有些重”。突然间好像点醒了我，如果说软件的翻译可以完全承担翻译工作的话，那么我在其中的作用是什么呢？或许机器翻译时不会管读者读的时候易不易于理解、通不通顺、长短句该不该划分开....但是我可以。考虑到读者阅读词条时怎样能更快速的获取到自己想要的信息，让它变成一个有温度的词条，关怀到阅读这些词条的人，也是我可以做的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
找到了自己在其中所能起的作用，另外恶补了复杂系统的一些入门知识，慢慢的，翻译词条变成了一种很想做的事情，也切实感觉到自己在这个过程中的成长，不论是翻译能力的提高，还是在整个团队交流的过程中我所学到的东西，无不让我受益匪浅。我开始意识到，所在做的工作的意义所在：人的生命是有限的，而生产的知识却可以延续下去。&lt;br /&gt;
&lt;br /&gt;
希望以后能做的更好一些，不断的去完善自己所负责的词条，去添加自己的思考，也不断的完善一下自己。&lt;br /&gt;
&lt;br /&gt;
==工作记录==&lt;br /&gt;
===工作记录一===&lt;br /&gt;
*对于专业名词一定一定记得核对清楚，保留一下参考文献，以免后期复查时丢失&lt;br /&gt;
*采取短时间翻译词条的方式进行内容生产&lt;br /&gt;
*多查看一下附加内容，会给翻译的思路带来启发&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
以后也会时不时的更新一下主页，谢谢阅读。&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37981</id>
		<title>用户:趣木木</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%94%A8%E6%88%B7:%E8%B6%A3%E6%9C%A8%E6%9C%A8&amp;diff=37981"/>
		<updated>2024-09-23T22:49:33Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! 类别 !! 信息&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==我与集智的故事==&lt;br /&gt;
===初识===&lt;br /&gt;
说起来为什么会遇到集智百科，还是源于一位同院校同专业的王婷学姐在学校表白墙上所发布的寻找实习生的留言，当时我正想寻找一个与专业相关的实习机会。于是果断的联系上了王婷学姐。和王婷学姐的交流一直断断续续，直到2020年初，王婷学姐想要创建一个集智百科的内容生产团队时，十分幸运的是，她联系到了我。&lt;br /&gt;
===相处===&lt;br /&gt;
说实话，一开始的时候我对复杂系统并没有什么概念，加入团队的一开始是想着提高一下自己的英文翻译能力以及多接触到一些以前没有触及到的知识。在一开始翻译时，因为有着很多自己从未了解过的专业名词，加上第一次进行翻译的工作，大部分的内容只能借助一些翻译软件进行机械的翻译。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
我对什么才是一篇好的英文翻译词条的深刻思考，源于两句话。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
一句是承担翻译词条的审校工作的佩佩姐说的：'''“知识由我而来，问题到我为止”'''。这句话给了我很大的触动，我开始想，如果我翻译一个词条，我能做到什么问题到我为止，不再给其余人添加不必要的工作呢？格式规范、有违中国人的语句结构修改、对于一些模糊不清的信息再次审查求证、自己对于翻译语句的一些思考.....我觉得这些是我能够做的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
另外一句是陈关荣教授在审校我所翻译的博弈论词条时，所说的“同学还需努力哈，机器翻译的痕迹有些重”。突然间好像点醒了我，如果说软件的翻译可以完全承担翻译工作的话，那么我在其中的作用是什么呢？或许机器翻译时不会管读者读的时候易不易于理解、通不通顺、长短句该不该划分开....但是我可以。考虑到读者阅读词条时怎样能更快速的获取到自己想要的信息，让它变成一个有温度的词条，关怀到阅读这些词条的人，也是我可以做的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
找到了自己在其中所能起的作用，另外恶补了复杂系统的一些入门知识，慢慢的，翻译词条变成了一种很想做的事情，也切实感觉到自己在这个过程中的成长，不论是翻译能力的提高，还是在整个团队交流的过程中我所学到的东西，无不让我受益匪浅。我开始意识到，所在做的工作的意义所在：人的生命是有限的，而生产的知识却可以延续下去。&lt;br /&gt;
&lt;br /&gt;
希望以后能做的更好一些，不断的去完善自己所负责的词条，去添加自己的思考，也不断的完善一下自己。&lt;br /&gt;
&lt;br /&gt;
==工作记录==&lt;br /&gt;
===工作记录一===&lt;br /&gt;
*对于专业名词一定一定记得核对清楚，保留一下参考文献，以免后期复查时丢失&lt;br /&gt;
*采取短时间翻译词条的方式进行内容生产&lt;br /&gt;
*多查看一下附加内容，会给翻译的思路带来启发&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
以后也会时不时的更新一下主页，谢谢阅读。&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14878</id>
		<title>集智百科翻译团队工作指南</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14878"/>
		<updated>2020-10-09T11:48:31Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 提交积分审核 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==新手须知==&lt;br /&gt;
===创建账户===&lt;br /&gt;
确定自己是否有集智百科页面的用户账号，若没有，点击页面右上角“创建账户”进行创建，并可以补充完善好自己的个人主页。&lt;br /&gt;
&lt;br /&gt;
===领取任务===&lt;br /&gt;
====领取渠道一 直接选择已有的词条任务====&lt;br /&gt;
点击石墨文档中的'''[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]''',在对应日期阶段的任务表中选择自己感兴趣的词条，在'''“词条领取人”'''一栏中填上自己的用户名，并且根据自身情况估计完成日期，填写在'''“初次完成时间”'''中，关注词条的'''“需求点”'''，在翻译过程中按照要求进行翻译。&lt;br /&gt;
  &lt;br /&gt;
  注意：一般词条生产最晚应在一周内完成，根据所设积分可以大体推算完成日期。如积分在20以下，完成时间往后退一至两天，积分为20-50区间内，完成时间往后退三至四天，积分为50以上，原则上在一周内完成。有特殊情况则私聊[[用户:趣木木|趣木木]]。&lt;br /&gt;
&lt;br /&gt;
'''提交完词条任务后，即时就在[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]领取下次的词条。&lt;br /&gt;
'''&lt;br /&gt;
====领取渠道二 选择自己感兴趣的词条作为自己的词条任务====&lt;br /&gt;
点击石墨文档中的[https://shimo.im/sheets/VxGcDcJ6vJtQdkgQ/q1eR9  词条生产表]中的“机器已搬运”子表，选择自己感兴趣的词条并修改“是否翻译”一栏（将否改为是）。此外，为确保没有重复工作，在[https://wiki.swarma.org/index.php?title=%E9%82%93%E5%B7%B4%E6%95%B0#Criticism_.E8.AF.84.E8.AE.BA  集智百科新版],[http://wiki.swarma.net/index.php/%E8%AF%BA%E4%BC%AF%E7%89%B9%C2%B7%E7%BB%B4%E7%BA%B3_Norbert_Wiener#.E7.9B.B8.E5.85.B3.E8.91.97.E4.BD.9C  集智百科旧版]搜索对应词条，查看编辑历史，确保其没有进行过翻译。汇总感兴趣的词条，填入到''[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]'''对应日期阶段的任务表中，填写完成时间、领取人。并联系[[用户:趣木木|趣木木]]填写对应积分。&lt;br /&gt;
&lt;br /&gt;
===明确生产形式===&lt;br /&gt;
点击所领取词条下对应的'''“集智百科链接地址”'''，首先查看页面是否存在英文文本缺失的问题，若存在，点击对应的英文wiki地址进行补充。对于公式显示错误或遇到其余页面显示问题，请私聊[[用户:趣木木|趣木木]]进行反映。页面形式为两段重复的英文文本及由彩云小译初步翻译出来的中文文本。译者点击右上角的“登录”，登录上自己的账号，在编辑页面的最上端写上“本词条由[[用户名]]初步翻译”。&lt;br /&gt;
&lt;br /&gt;
以[[LFR算法]]为例，可看到以下界面，只需查看第二次出现的英文原文，对比中文进行翻译。点击“编辑”，即可编辑页面，其具体操作为：&lt;br /&gt;
&lt;br /&gt;
[[File:编辑操作.png|1000px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''根据蓝色框内的英文，修改重译红色框中的中文。借助维基百科的英文原文进行翻译，利用翻译工具有彩云小译、网易有道翻译等翻译软件，译者需要自行翻译，将中文换为符合习惯的表达，多方查询相关释义，及时反馈，以确保专业性。'''&lt;br /&gt;
&lt;br /&gt;
[[File:翻译对比.png|1000px]]&lt;br /&gt;
对于页面的基本操作可查看[https://wiki.swarma.org/index.php?title=%E7%BC%96%E8%BE%91%E8%A7%84%E8%8C%83  编辑入门]&lt;br /&gt;
&lt;br /&gt;
===知识储备===&lt;br /&gt;
&lt;br /&gt;
可从集智学园，集智斑图以及公众号搜索相关资料，查看中文维基百科中相对应的词条，对词条内容有一个初步的认识和了解；将查阅到的资料、课程相关链接放到编者推荐、相关链接的内容中；可从[https://campus.swarma.org/ 集智学园]查看相关课程资源、在[https://swarma.org/ 集智俱乐部]中的集智斑图获取学习路径，从'''集智微信公众号： 集智俱乐部'''查看相关科普文章和学习资源。&lt;br /&gt;
&lt;br /&gt;
===明确生产职责===&lt;br /&gt;
译者需将英文wiki的原文通畅且较为准确、完整、专业的人工翻译出来，符合中文的语言表达，借助机器翻译但不完全是机器翻译。&lt;br /&gt;
===达到翻译过程中的生产要求===&lt;br /&gt;
====规范性====&lt;br /&gt;
&lt;br /&gt;
*专业名词格式&lt;br /&gt;
译者通过英文原文中含有链接的英文、小标题对应的英文确定哪些为专业名词。在确定过程中注意人名、机构、与词条本身的专业领域关系不大的名词不在考虑范围内，通过语法[[File:标橙语法.png|300px]]'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 专业名词&amp;lt;/font&amp;gt;'''即可对专业名词标橙。且将专业名词的格式设为“中文+英文”（注：不加括号,英文首字母均大写），示例:[[File:专业名词格式.png|200px]]&lt;br /&gt;
*文本格式&lt;br /&gt;
1、中文文本用中文对应括号（）  英文数学文本用英文对应括号()&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2、人名译名缩写大写 如j.a 实际上应为J.A&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3、排除多余的句点&amp;quot;。。&amp;quot;→&amp;quot;。&amp;quot;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4、中文文本用“。”而不是“.”  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5、变量采用斜体 ''N''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*图片的图注翻译格式&lt;br /&gt;
图注翻译格式为：【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
*文本统一&lt;br /&gt;
注意全文一致同一术语释义、同一人名释义（与集智俱乐部公众号一致）&lt;br /&gt;
&lt;br /&gt;
*利用讨论标注出省略翻译、意译的句子&lt;br /&gt;
利用讨论语法[[File:讨论.png|100px]]添加讨论&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句省译&lt;br /&gt;
 &lt;br /&gt;
*具体年份不宜省略翻译，如&amp;quot;2012年&amp;quot;不可只写&amp;quot;12年&amp;quot;&lt;br /&gt;
&lt;br /&gt;
====完整性====&lt;br /&gt;
避免存在漏译的情况，特别注意图注、“see also”部分、章节名的翻译完整。&lt;br /&gt;
&lt;br /&gt;
====专业性====&lt;br /&gt;
*词条标题核实&lt;br /&gt;
如果对词条标题的意思有异议，可以私聊[[用户:趣木木|趣木木]]进行反映。核实之后，会设置重定向。&lt;br /&gt;
*专业名词查询释义&lt;br /&gt;
对于筛选出来的专业名词请在[https://campus.swarma.org/translation/  翻译词库]中进行查询，不论是否查询得到，均需将专业名词标橙。对于查询到的释义，采用该专业名词释义；对于未查询到的释义，点击“新增翻译词”，补充上未查询到的英文，中文填为“待补充”。其具体操作如下，操作完毕即有下图中蓝色框内的形式。&lt;br /&gt;
[[File:词库新增.png|1000px]]&lt;br /&gt;
此外，还可在[http://dict.cnki.net/dict_result.aspx cnki翻译助手]里面初步检索专业名词，选取引用量最高的释义，待后续专家审校进行反馈纠正释义后，再将纠正的准确释义添加在[https://campus.swarma.org/translation/  翻译词库]中 &lt;br /&gt;
* 疑难句标绿&lt;br /&gt;
对于自己翻译不清楚、存疑的疑难句，采用语法[[File:段落标绿.png|250px]]将'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;疑难句&amp;lt;/font&amp;gt;'''进行标绿，且在后面附加上疑难句所对应的英文。&lt;br /&gt;
&lt;br /&gt;
====通顺性====&lt;br /&gt;
通读全文一至两遍，保证全文的语句通顺，符合语言表达，且释义统一。&lt;br /&gt;
&lt;br /&gt;
====进阶需求（不做要求）====&lt;br /&gt;
可在页面中加一个模块：专家对于该术语/概念的一些描述（从书籍资源中补充概念）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===复查词条===&lt;br /&gt;
至少通读一至两遍译文，按照[https://shimo.im/docs/pX8Pgy66gDjG9WCR  自审清单]进行自审，寻找是否有语序、逻辑不通的地方，前后表述并不一致的地方，以及同一单词尽量用同一释义；注意检查相关的术语加粗，变量斜体，公式是否显示正常，图片图注序号是否正确等格式问题；在确保自己已达到上述的生产要求后，递交给负责人[[用户:趣木木|趣木木]]，负责人进行通读，检查，反馈，译者进行修改。&lt;br /&gt;
&lt;br /&gt;
===复修改词条===&lt;br /&gt;
在规定时间内，负责人[[用户:趣木木|趣木木]]提交给审校，审校会添加讨论以及反馈，译者查看进行复核与复修改。'''（注：若被审校打回重译，所得积分减半）'''&lt;br /&gt;
===提交积分审核===&lt;br /&gt;
完成上述工作后，向负责人[[用户:趣木木|趣木木]]发送以下信息，以[[经济复杂性指数]]为例：&lt;br /&gt;
&lt;br /&gt;
 词条名：[[经济复杂性指数]]&lt;br /&gt;
 词条领取人：[[用户:趣木木|趣木木]]&lt;br /&gt;
 词条对应链接：https://wiki.swarma.org/index.php?title=%E7%BB%8F%E6%B5%8E%E5%A4%8D%E6%9D%82%E6%80%A7%E6%8C%87%E6%95%B0_Economic_Complexity_Index&lt;br /&gt;
 词条对应积分：30&lt;br /&gt;
 词条初次完成时间:2020.07.09(这里指提交给负责人审核的日期）&lt;br /&gt;
 是否领取下一个词条：是/否&lt;br /&gt;
 是否按照自审清单自审并通读完一遍:是/否&lt;br /&gt;
&lt;br /&gt;
负责人审核，确定词条达到要求后，记录积分。&lt;br /&gt;
&lt;br /&gt;
==新手提升==&lt;br /&gt;
===与审校部门联合进行相关培训===&lt;br /&gt;
接受一些定期对译者的培训，收集译者在翻译过程中存在的问题，进行分享解析；分享翻译时的一些技巧，以提高翻译能力。&lt;br /&gt;
===入门资源推荐===&lt;br /&gt;
&lt;br /&gt;
1.张江复杂性思维课程 （集智学园）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2.《复杂》梅拉妮·米歇尔，网上有视频课程（喜马拉雅APP）[https://www.complexityexplorer.org/courses/104-introduction-to-complexity  《复杂》]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3.教材《网络、群体与市场》，网上有[http://www.chinesemooc.org/mooc/4406 视频课程] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4.郝柏林：圣菲研究所与复杂性研究&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5.复杂性科学、网络科学、计算社会科学研究机构推介（北美篇）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
6.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用，集智斑图网站负责人如意整理的[https://pattern.swarma.org/path?id=22 路径1]  、[https://pattern.swarma.org/path?id=30 路径2]  、 [https://pattern.swarma.org/path?id=32&amp;quot; 路径3]&lt;br /&gt;
&lt;br /&gt;
8.[https://pattern.swarma.org/path?id=68 图神经网络、网络科学、系统科学综合交叉入门学习路径]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%BA%A7%E8%81%94%E5%A4%B1%E6%95%88&amp;diff=14736</id>
		<title>级联失效</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%BA%A7%E8%81%94%E5%A4%B1%E6%95%88&amp;diff=14736"/>
		<updated>2020-10-04T07:40:48Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;本词条由11初步翻译&lt;br /&gt;
&lt;br /&gt;
{{short description|System of interconnected parts in which the failure of one or few parts can trigger the failure of others}}&lt;br /&gt;
&lt;br /&gt;
[[Image:Networkfailure.gif|thumb|right|An animation demonstrating how a single failure may result in other failures throughout a network.]]&lt;br /&gt;
&lt;br /&gt;
[[Image:Networkfailure.gif|thumb|right|演示单个故障如何导致整个网络中其他故障的动画]]&lt;br /&gt;
&lt;br /&gt;
An animation demonstrating how a single failure may result in other failures throughout a network.&lt;br /&gt;
&lt;br /&gt;
演示单个故障如何导致整个网络中其他故障的动画。&lt;br /&gt;
&lt;br /&gt;
A cascading failure is a process in a system of [[interconnection|interconnected]] parts in which the failure of one or few parts can trigger the failure of other parts and so on. Such a failure may happen in many types of systems, including power transmission, computer networking, finance, transportation systems, organisms, the human body, and ecosystems.&lt;br /&gt;
&lt;br /&gt;
A cascading failure is a process in a system of interconnected parts in which the failure of one or few parts can trigger the failure of other parts and so on. Such a failure may happen in many types of systems, including power transmission, computer networking, finance, transportation systems, organisms, the human body, and ecosystems.&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 级联故障 Cascading Failure&amp;lt;/font&amp;gt;'''是一个相互连接的部件系统中的一个或几个部件的故障可以引发其他部件的故障等过程。这种故障可能发生在许多类型的系统中，包括电力输送、计算机网络、金融、交通系统、微生物、人体和生态系统。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 级联故障 Cascading Failure&amp;lt;/font&amp;gt;'''是一个相互连接的部件系统中的一个或几个部件的故障可以引发其他部件的故障等过程”有点不太顺&lt;br /&gt;
&lt;br /&gt;
Cascading failures may occur when one part of the system fails. When this happens, other parts must then compensate for the failed component. This in turn overloads these nodes, causing them to fail as well, prompting additional nodes to fail one after another.&lt;br /&gt;
&lt;br /&gt;
Cascading failures may occur when one part of the system fails. When this happens, other parts must then compensate for the failed component. This in turn overloads these nodes, causing them to fail as well, prompting additional nodes to fail one after another.&lt;br /&gt;
&lt;br /&gt;
当系统的一部分发生故障时，可能会发生级联故障。当这种情况发生时，其他部分必须对发生故障的部分进行补偿，这反过来又使这些节点超载，导致它们也发生故障，促使更多的节点相继发生故障。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== In power transmission ==&lt;br /&gt;
在电力输送中&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cascading failure is common in [[power grid]]s when one of the elements fails (completely or partially) and shifts its load to nearby elements in the system.  Those nearby elements are then pushed beyond their capacity so they become overloaded and shift their load onto other elements.  Cascading failure is a common effect seen in [[high voltage]] systems, where a [[single point of failure]] (SPF) on a fully loaded or slightly overloaded system results in a sudden spike across all nodes of the system. This surge current can induce the already overloaded nodes into failure, setting off more overloads and thereby taking down the entire system in a very short time.&lt;br /&gt;
&lt;br /&gt;
Cascading failure is common in power grids when one of the elements fails (completely or partially) and shifts its load to nearby elements in the system.  Those nearby elements are then pushed beyond their capacity so they become overloaded and shift their load onto other elements.  Cascading failure is a common effect seen in high voltage systems, where a single point of failure (SPF) on a fully loaded or slightly overloaded system results in a sudden spike across all nodes of the system. This surge current can induce the already overloaded nodes into failure, setting off more overloads and thereby taking down the entire system in a very short time.&lt;br /&gt;
&lt;br /&gt;
级联故障在电网中很常见，当其中一个元件(完全或部分)发生故障并将其负荷转移到系统中附近的元件时，就会推动那些附近的元件超出其容量，从而过载，并将其负荷转移到其他元件上。级联故障在高压系统中也很常见，在一个满载或轻度过载的系统中，一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 单点故障 Single Point of Failure (SPF)&amp;lt;/font&amp;gt;'''会导致系统所有节点突然出现尖峰。这种'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 浪涌电流 &lt;br /&gt;
 Surge Current&amp;lt;/font&amp;gt;'''可能会导致已经超载的节点发生故障，引发更多过载，从而在很短的时间内使整个系统瘫痪。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This failure process cascades through the elements of the system like a ripple on a pond and continues until substantially all of the elements in the system are compromised and/or the system becomes functionally disconnected from the source of its load. For example, under certain conditions a large power grid can collapse after the failure of a single transformer.&lt;br /&gt;
&lt;br /&gt;
This failure process cascades through the elements of the system like a ripple on a pond and continues until substantially all of the elements in the system are compromised and/or the system becomes functionally disconnected from the source of its load. For example, under certain conditions a large power grid can collapse after the failure of a single transformer.&lt;br /&gt;
&lt;br /&gt;
这个故障过程就像池塘上的涟漪一样，在系统的各个元件中层层叠加，直到系统中的所有元件都受到损害和/或系统在功能上与负载源断开。例如，在某些情况下，一个大型电网可能因为单个变压器的故障而崩溃。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Monitoring the operation of a system, in [[real-time computing|real-time]], and judicious disconnection of parts can help stop a cascade.  Another common technique is to calculate a safety margin for the system by computer simulation of possible failures, to establish safe operating levels below which none of the calculated scenarios is predicted to cause cascading failure, and to identify the parts of the network which are most likely to cause cascading failures.&amp;lt;ref name=&amp;quot;chao&amp;quot;&amp;gt;{{cite arXiv |last1=Zhai |first1=Chao |title=Modeling and Identification of Worst-Case Cascading Failures in Power Systems |eprint=1703.05232 |class=cs.SY |year=2017}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Monitoring the operation of a system, in real-time, and judicious disconnection of parts can help stop a cascade.  Another common technique is to calculate a safety margin for the system by computer simulation of possible failures, to establish safe operating levels below which none of the calculated scenarios is predicted to cause cascading failure, and to identify the parts of the network which are most likely to cause cascading failures.&lt;br /&gt;
&lt;br /&gt;
实时监测系统的运行情况，并明智地断开部件的连接，有助于阻止级联。 另一种常见的技术是通过计算机模拟可能发生的故障来计算系统的安全边际，确定安全运行水平，在此水平之下，预计计算出的任何一种情况都不会引起级联故障，并确定网络中最有可能引起级联故障的部分。&lt;br /&gt;
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One of the primary problems with preventing electrical grid failures is that the speed of the control signal is no faster than the speed of the propagating power overload, i.e. since both the control signal and the electrical power are moving at the same speed, it is not possible to isolate the outage by sending a warning ahead to isolate the element.&lt;br /&gt;
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One of the primary problems with preventing electrical grid failures is that the speed of the control signal is no faster than the speed of the propagating power overload, i.e. since both the control signal and the electrical power are moving at the same speed, it is not possible to isolate the outage by sending a warning ahead to isolate the element.&lt;br /&gt;
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防止电网故障的主要问题之一是，控制信号的速度不快于传播功率过载的速度，即由于控制信号和电力都以同样的速度运动，所以无法通过提前发出警告来隔离元件从而隔离停电。&lt;br /&gt;
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The question if power grid  failures are correlated have been studied in Daqing Li et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Daqing|first=Li|last2=Yinan|first2=Jiang|last3=Rui|first3=Kang|last4=Havlin|first4=Shlomo|date=2014-06-20|title=Spatial correlation analysis of cascading failures: Congestions and Blackouts|journal=Scientific Reports|language=En|volume=4|issue=1|pages=5381|doi=10.1038/srep05381|pmid=24946927|pmc=4064325|issn=2045-2322|bibcode=2014NatSR...4E5381D}}&amp;lt;/ref&amp;gt; as well as by Paul DH Hines et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Hines|first=Paul D. H.|last2=Dobson|first2=Ian|last3=Rezaei|first3=Pooya|date=2016|title=Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology|arxiv=1508.01775|journal=IEEE Transactions on Power Systems|pages=1|doi=10.1109/TPWRS.2016.2578259|issn=0885-8950}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The question if power grid  failures are correlated have been studied in Daqing Li et al. as well as by Paul DH Hines et al.&lt;br /&gt;
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电网故障是否具有相关性的问题，李大庆等人以及Paul DH Hines等人都有研究。&lt;br /&gt;
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=== Examples ===&lt;br /&gt;
案例&lt;br /&gt;
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Cascading failure caused the following [[power outage]]s:&lt;br /&gt;
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Cascading failure caused the following power outages:&lt;br /&gt;
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级联故障曾导致以下停电:&lt;br /&gt;
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* [[Northeast blackout of 1965|Blackout in Northeast America in 1965]]&lt;br /&gt;
* [[1965年东北大停电|1965年美国东北大停电]]&lt;br /&gt;
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* [[1999 Southern Brazil blackout|Blackout in Southern Brazil in 1999]]&lt;br /&gt;
* [[1999年巴西南部停电|1999年巴西南部停电]]&lt;br /&gt;
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* [[Northeast blackout of 2003|Blackout in Northeast America in 2003]]&lt;br /&gt;
* [[2003年东北大停电|2003年美国东北大停电]]&lt;br /&gt;
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* [[2003 Italy blackout|Blackout in Italy in 2003]]&lt;br /&gt;
* [[2003年意大利停电|2003年意大利停电]]&lt;br /&gt;
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* [[2003 London blackout|Blackout in London in 2003]]&lt;br /&gt;
* [[2003年伦敦大停电|2003年伦敦大停电]]&lt;br /&gt;
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* [[2006 European blackout|European Blackout in 2006]]&lt;br /&gt;
* [[2006年欧洲停电|2006年欧洲停电]]&lt;br /&gt;
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* [[2012 northern India power grid failure|Blackout in Northern India in 2012]]&lt;br /&gt;
* [[2012年印度北部电网故障|2012年印度北部停电]]&lt;br /&gt;
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* [[2016 South Australian blackout|Blackout in South Australia in 2016]]&lt;br /&gt;
* [[2016年南澳停电|2016年南澳停电]]&lt;br /&gt;
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* [[2019 Argentina, Paraguay and Uruguay blackout|Blackout in southeast South America in 2019]]&lt;br /&gt;
* [[2019年阿根廷、巴拉圭和乌拉圭停电|2019年南美洲东南部停电]]&lt;br /&gt;
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== In computer networks ==&lt;br /&gt;
在计算机网络中&lt;br /&gt;
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Cascading failures can also occur in [[computer network]]s (such as the [[Internet]]) in which [[Network traffic control|network traffic]] is severely impaired or halted to or between larger sections of the network, caused by failing or disconnected hardware or software. In this context, the cascading failure is known by the term '''cascade failure'''. A cascade failure can affect large groups of people and systems.&lt;br /&gt;
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Cascading failures can also occur in computer networks (such as the Internet) in which network traffic is severely impaired or halted to or between larger sections of the network, caused by failing or disconnected hardware or software. In this context, the cascading failure is known by the term cascade failure. A cascade failure can affect large groups of people and systems.&lt;br /&gt;
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级联故障也可能发生在计算机网络(如因特网)中，由于硬件或软件的故障或断开，导致网络中较大部分的网络通信严重受损或停止。在这种情况下，级联故障被称为术语级联故障。级联故障会影响到大批人员和系统。&lt;br /&gt;
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The cause of a cascade failure is usually the overloading of a single, crucial [[Router (computing)|router]] or node, which causes the node to go down, even briefly. It can also be caused by taking a node down for maintenance or upgrades. In either case, traffic is [[routing|routed]] to or through another (alternative) path. This alternative path, as a result, becomes overloaded, causing it to go down, and so on. It will also affect systems which depend on the node for regular operation.&lt;br /&gt;
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The cause of a cascade failure is usually the overloading of a single, crucial router or node, which causes the node to go down, even briefly. It can also be caused by taking a node down for maintenance or upgrades. In either case, traffic is routed to or through another (alternative) path. This alternative path, as a result, becomes overloaded, causing it to go down, and so on. It will also affect systems which depend on the node for regular operation.&lt;br /&gt;
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级联故障的原因通常是一个单个关键的路由器或节点的超载，导致节点宕机或短暂地宕机。它也可能是由于为了维护或升级而关闭一个节点引起的。在这两种情况下，流量都被路由到或通过另一条(替代)路径。结果，这条替代路径变得过载，导致它宕机，等等。它还会影响依赖该节点正常运行的系统。&lt;br /&gt;
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=== Symptoms ===&lt;br /&gt;
症状&lt;br /&gt;
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The symptoms of a cascade failure include: [[packet loss]] and high network [[lag|latency]], not just to single systems, but to whole sections of a network or the internet. The high latency and packet loss is caused by the nodes that fail to operate due to [[congestion collapse]], which causes them to still be present in the network but without much or any useful communication going through them. As a result, routes can still be considered valid, without them actually providing communication.&lt;br /&gt;
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The symptoms of a cascade failure include: packet loss and high network latency, not just to single systems, but to whole sections of a network or the internet. The high latency and packet loss is caused by the nodes that fail to operate due to congestion collapse, which causes them to still be present in the network but without much or any useful communication going through them. As a result, routes can still be considered valid, without them actually providing communication.&lt;br /&gt;
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级联故障的症状包括: 数据包丢失和高网络延迟，不仅仅是对单个系统，而是对整个网络或互联网部分。高延迟和数据包丢失是由于网络拥塞崩溃导致节点无法正常运行，这使得它们仍然存在于网络中，但是没有太多或任何有用的通信通过它们。因此，路由仍然可被认为是有效的，而实际上它们并没有提供通信。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“级联故障的症状”  中的症状是不是可以思考换一下词语 印象中症状一般形容人  换成“表现”或其他是否更好&lt;br /&gt;
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If enough routes go down because of a cascade failure, a complete section of the network or internet can become unreachable. Although undesired, this can help speed up the recovery from this failure as connections will time out, and other nodes will give up trying to establish connections to the section(s) that have become cut off, decreasing load on the involved nodes.&lt;br /&gt;
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If enough routes go down because of a cascade failure, a complete section of the network or internet can become unreachable. Although undesired, this can help speed up the recovery from this failure as connections will time out, and other nodes will give up trying to establish connections to the section(s) that have become cut off, decreasing load on the involved nodes.&lt;br /&gt;
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如果有足够多的路由因为级联故障而中断，网络或互联网的一个完整部分就会无法访问。尽管我们不希望出现这种情况，但这有助于加快从故障中恢复的速度，因为连接会超时，其他节点会放弃尝试与被切断的部分建立连接，从而减少相关节点的负载。&lt;br /&gt;
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A common occurrence during a cascade failure is a '''walking failure''', where sections go down, causing the next section to fail, after which the first section comes back up. This '''ripple''' can make several passes through the same sections or connecting nodes before stability is restored.&lt;br /&gt;
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A common occurrence during a cascade failure is a walking failure, where sections go down, causing the next section to fail, after which the first section comes back up. This ripple can make several passes through the same sections or connecting nodes before stability is restored.&lt;br /&gt;
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在级联故障中，一个常见的现象是行走故障，即各段下行，导致下一段故障，之后第一段回升。在恢复稳定之前，这种波纹可能会在相同的区段或连接节点上进行多次传递。&lt;br /&gt;
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=== History ===&lt;br /&gt;
历史&lt;br /&gt;
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Cascade failures are a relatively recent development, with the massive increase in traffic and the high interconnectivity between systems and networks. The term was first applied in this context in the late 1990s by a Dutch IT professional and has slowly become a relatively common term for this kind of large-scale failure.{{Citation needed|date=January 2009}}&lt;br /&gt;
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Cascade failures are a relatively recent development, with the massive increase in traffic and the high interconnectivity between systems and networks. The term was first applied in this context in the late 1990s by a Dutch IT professional and has slowly become a relatively common term for this kind of large-scale failure.&lt;br /&gt;
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级联故障是一个相对较新的发展，随着流量的大量增加和系统与网络之间的高度互连性而出现。这个术语最早是在90年代末由一位荷兰的IT专业人员在此情况下使用的，后来慢慢成为这种大规模故障的一个比较常见的术语。&lt;br /&gt;
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=== Example ===&lt;br /&gt;
案例&lt;br /&gt;
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Network failures typically start when a single network node fails. Initially, the traffic that would normally go through the node is stopped. Systems and users get errors about not being able to reach hosts. Usually, the redundant systems of an ISP respond very quickly, choosing another path through a different backbone. The routing path through this alternative route is longer, with more [[Hop (telecommunications)|hops]] and subsequently going through more systems that normally do not process the amount of traffic suddenly offered.&lt;br /&gt;
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Network failures typically start when a single network node fails. Initially, the traffic that would normally go through the node is stopped. Systems and users get errors about not being able to reach hosts. Usually, the redundant systems of an ISP respond very quickly, choosing another path through a different backbone. The routing path through this alternative route is longer, with more hops and subsequently going through more systems that normally do not process the amount of traffic suddenly offered.&lt;br /&gt;
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网络故障通常在单个网络节点故障时开始。最初，正常情况下会经过该节点的流量被停止。系统和用户会得到无法到达主机的错误。通常，ISP的冗余系统会很快做出反应，选择另一条通过不同骨干网的路径。通过这条替代路径的路由路径更长，跳数更多，随后要经过更多的系统，而这些系统通常不会处理突然提供的流量。&lt;br /&gt;
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This can cause one or more systems along the alternative route to go down, creating similar problems of their own.&lt;br /&gt;
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This can cause one or more systems along the alternative route to go down, creating similar problems of their own.&lt;br /&gt;
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这可能会导致替代路线上的一个或多个系统瘫痪，造成自身的类似问题。&lt;br /&gt;
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Also, related systems are affected in this case. As an example, [[Domain name system|DNS]] resolution might fail and what would normally cause systems to be interconnected, might break connections that are not even directly involved in the actual systems that went down. This, in turn, may cause seemingly unrelated nodes to develop problems, that can cause another cascade failure all on its own.&lt;br /&gt;
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Also, related systems are affected in this case. As an example, DNS resolution might fail and what would normally cause systems to be interconnected, might break connections that are not even directly involved in the actual systems that went down. This, in turn, may cause seemingly unrelated nodes to develop problems, that can cause another cascade failure all on its own.&lt;br /&gt;
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此外，在这种情况下，相关系统也会受到影响。例如，DNS解析可能会失败，通常会导致系统互连的情况可能会破坏甚至没有直接参与实际系统故障的连接。而这又可能导致看似不相关的节点出现问题，从而导致另一个级联故障的发生。&lt;br /&gt;
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In December 2012, a partial loss (40%) of [[Gmail]] service occurred globally, for 18 minutes. This loss of service was caused by a routine update of load balancing software which contained faulty logic—in this case, the error was caused by logic using an [https://arstechnica.com/information-technology/2012/12/why-gmail-went-down-google-misconfigured-chromes-sync-server/ inappropriate ''all'' instead of the more appropriate ''some''.] The cascading error was fixed by fully updating a single node in the network instead of partially updating all nodes at one time.&lt;br /&gt;
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In December 2012, a partial loss (40%) of Gmail service occurred globally, for 18 minutes. This loss of service was caused by a routine update of load balancing software which contained faulty logic—in this case, the error was caused by logic using an [https://arstechnica.com/information-technology/2012/12/why-gmail-went-down-google-misconfigured-chromes-sync-server/ inappropriate all instead of the more appropriate some.] The cascading error was fixed by fully updating a single node in the network instead of partially updating all nodes at one time.&lt;br /&gt;
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2012年12月，Gmail服务在全球范围内出现了部分损失(40%)，持续了18分钟。这次服务损失是由包含错误逻辑的负载平衡软件的例行更新引起的--在这种情况下，该错误是由使用[https://arstechnica.com/information-technology/2012/12/why-gmail-went-down-google-misconfigured-chromes-sync-server/ 不合适的all而不是更合适的some]的逻辑引起的。通过完全更新网络中的一个节点，而不是一次部分更新所有节点，修复了级联错误。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“The cascading error”可以思考一下 级联错误 与级联故障是否一样&lt;br /&gt;
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== Cascading structural failure ==&lt;br /&gt;
级联结构故障&lt;br /&gt;
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Certain load-bearing structures with discrete structural components can be subject to the &amp;quot;zipper effect&amp;quot;, where the failure of a single structural member increases the load on adjacent members.  In the case of the [[Hyatt Regency walkway collapse]], a suspended walkway (which was already overstressed due to an error in construction) failed when a single vertical suspension rod failed, overloading the neighboring rods which failed sequentially (i.e. like a [[zipper]]). A bridge that can have such a failure is called fracture critical, and numerous bridge collapses have been caused by the failure of a single part. Properly designed structures use an adequate [[factor of safety]] and/or alternate load paths to prevent this type of mechanical cascade failure.&amp;lt;ref name=&amp;quot;petroski&amp;quot;&amp;gt;{{cite book| title=To Engineer Is Human: The Role of Failure in Structural Design| first=Henry| last=Petroski| year=1992| isbn=978-0-679-73416-1| publisher=Vintage| place=| url-access=registration| url=https://archive.org/details/toengineerishuma00petr}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Certain load-bearing structures with discrete structural components can be subject to the &amp;quot;zipper effect&amp;quot;, where the failure of a single structural member increases the load on adjacent members.  In the case of the Hyatt Regency walkway collapse, a suspended walkway (which was already overstressed due to an error in construction) failed when a single vertical suspension rod failed, overloading the neighboring rods which failed sequentially (i.e. like a zipper). A bridge that can have such a failure is called fracture critical, and numerous bridge collapses have been caused by the failure of a single part. Properly designed structures use an adequate factor of safety and/or alternate load paths to prevent this type of mechanical cascade failure.&lt;br /&gt;
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某些具有离散结构构件的承重结构可能会出现 &amp;quot;拉链效应&amp;quot;，即单个结构构件的失效会增加相邻构件的荷载。 在凯悦酒店人行道坍塌事件中，当单根垂直悬杆失效时，悬空的人行道（由于施工中的错误，人行道已经过度受力）失效，使相邻的悬杆超载，相邻的悬杆依次失效（像拉链一样）。一座可能发生这种破坏的桥梁被称为断裂临界桥梁，许多桥梁的坍塌都是由单一部件的故障引起的。正确设计的结构使用足够的安全系数和/或交替的荷载路径来防止这种类型的机械级联失效。&lt;br /&gt;
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== Other examples ==&lt;br /&gt;
其他例子&lt;br /&gt;
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=== Biology ===&lt;br /&gt;
生物&lt;br /&gt;
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[[Biochemical cascade]]s exist in biology, where a small reaction can have system-wide implications. One negative example is [[ischemic cascade]], in which a small [[ischemia|ischemic]] attack releases [[toxin]]s which kill off far more cells than the initial damage, resulting in more toxins being released. Current research is to find a way to block this cascade in [[stroke]] patients to minimize the damage.&lt;br /&gt;
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Biochemical cascades exist in biology, where a small reaction can have system-wide implications. One negative example is ischemic cascade, in which a small ischemic attack releases toxins which kill off far more cells than the initial damage, resulting in more toxins being released. Current research is to find a way to block this cascade in stroke patients to minimize the damage.&lt;br /&gt;
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生物学中存在着生化级联，一个小的反应就会对整个系统产生影响。一个负面的例子是缺血性级联反应，在这种反应中，一个小的缺血性发作释放出的毒素比最初的损伤杀死更多的细胞，导致更多的毒素被释放。目前的研究正在寻找一种方法来阻断中风患者的这种级联反应，以最大限度地减少损伤。&lt;br /&gt;
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In the study of extinction, sometimes the extinction of one species will cause many other extinctions to happen. Such a species is known as a [[keystone species]].&lt;br /&gt;
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In the study of extinction, sometimes the extinction of one species will cause many other extinctions to happen. Such a species is known as a keystone species.&lt;br /&gt;
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在物种灭绝的研究中，有时一个物种的灭绝会导致许多其他物种的灭绝。这样的物种被称为关键物种。&lt;br /&gt;
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=== Electronics ===&lt;br /&gt;
电子学&lt;br /&gt;
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Another example is the [[Cockcroft–Walton generator]], which can also experience cascade failures wherein one failed [[diode]] can result in all the diodes failing in a fraction of a second.&lt;br /&gt;
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Another example is the Cockcroft–Walton generator, which can also experience cascade failures wherein one failed diode can result in all the diodes failing in a fraction of a second.&lt;br /&gt;
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另一个例子是Cockcroft-Walton发电机，它也会发生级联故障，其中一个故障的二极管会导致所有二极管在几分之一秒内发生故障。&lt;br /&gt;
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Yet another example of this effect in a scientific experiment was the [[Implosion (mechanical process)|implosion]] in 2001 of several thousand fragile glass photomultiplier tubes used in the [[Super-Kamiokande]] experiment, where the shock wave caused by the failure of a single detector appears to have triggered the implosion of the other detectors in a chain reaction.&lt;br /&gt;
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Yet another example of this effect in a scientific experiment was the implosion in 2001 of several thousand fragile glass photomultiplier tubes used in the Super-Kamiokande experiment, where the shock wave caused by the failure of a single detector appears to have triggered the implosion of the other detectors in a chain reaction.&lt;br /&gt;
&lt;br /&gt;
在科学实验中，这种效应的另一个例子是2001年用于超级神冈探测器实验中使用的几千支易碎的玻璃光电倍增管发生内爆，其中一个探测器的故障造成的冲击波似乎引发了连锁反应中其他探测器的内爆。&lt;br /&gt;
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&lt;br /&gt;
=== Finance ===&lt;br /&gt;
金融&lt;br /&gt;
&lt;br /&gt;
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{{main|Systemic risk}} {{main|Cascades in financial networks}}&lt;br /&gt;
{{主要}系统性风险}} {{主要}金融网络中的级联}}}&lt;br /&gt;
&lt;br /&gt;
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In [[finance]], the risk of cascading failures of financial institutions is referred to as ''[[systemic risk]]:'' the failure of one financial institution may cause other financial institutions (its [[Counterparty|counterparties]]) to fail, cascading throughout the system.&amp;lt;ref name=&amp;quot;HuangVodenska2013&amp;quot;&amp;gt;{{cite journal|last1=Huang|first1=Xuqing|last2=Vodenska|first2=Irena|last3=Havlin|first3=Shlomo|last4=Stanley|first4=H. Eugene|title=Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation|journal=Scientific Reports|volume=3|pages=1219|year=2013|issn=2045-2322|doi=10.1038/srep01219|pmid=23386974|pmc=3564037|arxiv=1210.4973|bibcode=2013NatSR...3E1219H}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In finance, the risk of cascading failures of financial institutions is referred to as systemic risk: the failure of one financial institution may cause other financial institutions (its counterparties) to fail, cascading throughout the system.&lt;br /&gt;
&lt;br /&gt;
在金融领域，金融机构连锁倒闭的风险被称为系统性风险：一家金融机构的倒闭可能会引起其他金融机构（其交易对手）的倒闭，在整个系统中连锁倒闭。&lt;br /&gt;
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Institutions that are believed to pose systemic risk are deemed either &amp;quot;[[too big to fail]]&amp;quot; (TBTF) or &amp;quot;too interconnected to fail&amp;quot; (TICTF), depending on why they appear to pose a threat.&lt;br /&gt;
&lt;br /&gt;
Institutions that are believed to pose systemic risk are deemed either &amp;quot;too big to fail&amp;quot; (TBTF) or &amp;quot;too interconnected to fail&amp;quot; (TICTF), depending on why they appear to pose a threat.&lt;br /&gt;
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那些被认为构成系统性风险的机构要么被视为“太大而不能倒”(TBTF) ，要么被视为“太相关而不能倒闭”(TICTF) ，这取决于它们为什么会构成威胁。&lt;br /&gt;
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Note however that systemic risk is not due to individual institutions per se, but due to the interconnections. For detailed models in economics and finance, see Elliott et al. (2014) and Acemoglu et al. (2015).&amp;lt;ref name=&amp;quot;Acemoglu Ozdaglar Tahbaz-Salehi 2015 pp. 564–608&amp;quot;&amp;gt;{{cite journal | last=Acemoglu | first=Daron | last2=Ozdaglar | first2=Asuman | last3=Tahbaz-Salehi | first3=Alireza | title=Systemic Risk and Stability in Financial Networks | journal=American Economic Review | publisher=American Economic Association | volume=105 | issue=2 | year=2015 | issn=0002-8282 | doi=10.1257/aer.20130456 | pages=564–608| hdl=1721.1/100979 | hdl-access=free }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Elliott Golub Jackson 2014 pp. 3115–3153&amp;quot;&amp;gt;{{cite journal | last=Elliott | first=Matthew | last2=Golub | first2=Benjamin | last3=Jackson | first3=Matthew O. | title=Financial Networks and Contagion | journal=American Economic Review | publisher=American Economic Association | volume=104 | issue=10 | year=2014 | issn=0002-8282 | doi=10.1257/aer.104.10.3115 | pages=3115–3153}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note however that systemic risk is not due to individual institutions per se, but due to the interconnections. For detailed models in economics and finance, see Elliott et al. (2014) and Acemoglu et al. (2015).&lt;br /&gt;
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但请注意，系统性风险不是由于单个机构本身造成的，而是由于它们相互之间的联系。关于经济学和金融学的详细模型，请参阅Elliott等人（2014）和Acemoglu等人（2015）的文章。&lt;br /&gt;
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A related (though distinct) type of cascading failure in finance occurs in the stock market, exemplified by the [[2010 Flash Crash]].&lt;br /&gt;
&lt;br /&gt;
A related (though distinct) type of cascading failure in finance occurs in the stock market, exemplified by the 2010 Flash Crash.&lt;br /&gt;
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金融领域的一种相关的（但不同的）级联失败发生在股票市场，2010年的闪电崩盘就是一个例子。&lt;br /&gt;
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For another framework to study and predict the effect of cascading failures in finance see &amp;lt;ref&amp;gt;{{cite journal|last1=Li|first1=W|last2=Kenett|first2=DY|last3=Yamasaki|first3=K|last4=Stanley|first4=HE|last5=Havlin|first5=S|title=Ranking the economic importance of countries and industries|journal=Journal of Network Theory in Finance|volume=3|pages=1–17|year=2017|issn=2055-7795|doi=10.21314/JNTF.2017.031|arxiv=1408.0443}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;HuangVodenska2013&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For another framework to study and predict the effect of cascading failures in finance see &lt;br /&gt;
&lt;br /&gt;
有关研究和预测金融连锁反应影响的另一个框架，请参见&lt;br /&gt;
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&lt;br /&gt;
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== Interdependent cascading failures ==&lt;br /&gt;
相互依赖的级联故障&lt;br /&gt;
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[[File:Interdependent_relationship_among_different_infrastructures.tif|thumb|right|Fig. 1: Illustration of the interdependent relationship among different infrastructures]]&lt;br /&gt;
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Fig. 1: Illustration of the interdependent relationship among different infrastructures&lt;br /&gt;
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图1: 不同基础设施之间的相互依存关系的说明&lt;br /&gt;
&lt;br /&gt;
[[File:Schematic_demonstration_of_first-_and_second-order_percolation_transitions.tif|thumb|right|Fig. 2. Schematic demonstration of first- and second-order percolation transitions. In the second-order case, the giant component is continuously approaching zero at the percolation threshold p = p_c. In the first-order case, the giant component approaches zero discontinuously]]&lt;br /&gt;
&lt;br /&gt;
Fig. 2. Schematic demonstration of first- and second-order percolation transitions. In the second-order case, the giant component is continuously approaching zero at the percolation threshold p = p_c. In the first-order case, the giant component approaches zero discontinuously&lt;br /&gt;
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图2： 一阶和二阶渗流过渡的示意图。在二阶情况下，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;最大连通分支 giant component&amp;lt;/font&amp;gt;'''在渗流阈值p=p_c时不断接近零。在一阶情况下，最大连通分支不连续地接近零。&lt;br /&gt;
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Diverse [[infrastructure]]s such as [[water supply]], [[transportation]], fuel and [[power station]]s are coupled together and depend on each other for functioning, see Fig. 1.  Owing to this coupling, interdependent networks are extremely sensitive to random failures, and in particular to [[Targeted threat|targeted attacks]], such that a failure of a small fraction of nodes in one network can triger an iterative cascade of failures in several interdependent networks.&amp;lt;ref&amp;gt;{{cite web|title=Report of the Commission to Assess the Threat to the United States from Electromagnetic Pulse (EMP) Attack|url=http://empcommission.org/docs/A2473-EMP_Commission-7MB.pdf}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last=Rinaldi|first=S.M.|last2=Peerenboom|first2=J.P.|last3=Kelly|first3=T.K.|date=2001|title=Identifying, understanding, and analyzing critical infrastructure interdependencies|url=|journal= IEEE Control Systems Magazine|volume=21|pages=11–25|via=}}&amp;lt;/ref&amp;gt; [[Power outage|Electrical blackouts]] frequently result from a cascade of failures between interdependent networks, and the problem has been dramatically exemplified by the several large-scale blackouts that have occurred in recent years. Blackouts are a fascinating demonstration of the important role played by the dependencies between networks. For example, the [[2003 Italy blackout]] resulted in a widespread failure of the [[Rail transport|railway network]], [[Health system|health care systems]], and [[financial services]] and, in addition, severely influenced the [[telecommunication network]]s. The partial failure of the communication system in turn further impaired the [[electrical grid]] management system, thus producing a positive feedback on the power grid.&amp;lt;ref&amp;gt;{{cite journal|last=V. Rosato |first=Issacharoff, L., Tiriticco, F., Meloni, S., Porcellinis, S.D., &amp;amp; Setola, R. |title=Modelling interdependent infrastructures using interacting dynamical models |journal=International Journal of Critical Infrastructures |year=2008 |volume=4 |pages=63–79 |doi=10.1504/IJCIS.2008.016092 }}&amp;lt;/ref&amp;gt; This example emphasizes how inter-dependence can significantly magnify the damage in an interacting network system. A framework to study the cascading failures between coupled networks  based on percolation theory was developed recently.&amp;lt;ref&amp;gt;{{cite journal|last=S. V. Buldyrev|first=R. Parshani, G. Paul, H. E. Stanley, S. Havlin|title=Catastrophic cascade of failures in interdependent networks|journal=Nature|year=2010|volume=464|pages=1025–8|doi=10.1038/nature08932|url=http://havlin.biu.ac.il/Publications.php?keyword=Catastrophic+cascade+of+failures+in+interdependent+networks&amp;amp;year=*&amp;amp;match=all|pmid=20393559|issue=7291&lt;br /&gt;
&lt;br /&gt;
Diverse infrastructures such as water supply, transportation, fuel and power stations are coupled together and depend on each other for functioning, see Fig. 1.  Owing to this coupling, interdependent networks are extremely sensitive to random failures, and in particular to targeted attacks, such that a failure of a small fraction of nodes in one network can triger an iterative cascade of failures in several interdependent networks. Electrical blackouts frequently result from a cascade of failures between interdependent networks, and the problem has been dramatically exemplified by the several large-scale blackouts that have occurred in recent years. Blackouts are a fascinating demonstration of the important role played by the dependencies between networks. For example, the 2003 Italy blackout resulted in a widespread failure of the railway network, health care systems, and financial services and, in addition, severely influenced the telecommunication networks. The partial failure of the communication system in turn further impaired the electrical grid management system, thus producing a positive feedback on the power grid. This example emphasizes how inter-dependence can significantly magnify the damage in an interacting network system. A framework to study the cascading failures between coupled networks  based on percolation theory was developed recently.&amp;lt;ref&amp;gt;{{cite journal|last=S. V. Buldyrev|first=R. Parshani, G. Paul, H. E. Stanley, S. Havlin|title=Catastrophic cascade of failures in interdependent networks|journal=Nature|year=2010|volume=464|pages=1025–8|doi=10.1038/nature08932|url=http://havlin.biu.ac.il/Publications.php?keyword=Catastrophic+cascade+of+failures+in+interdependent+networks&amp;amp;year=*&amp;amp;match=all|pmid=20393559|issue=7291&lt;br /&gt;
&lt;br /&gt;
诸如供水、运输、燃料和发电站等多种基础设施都是耦合在一起的，并相互依赖着运行，见图1。 由于这种耦合，相互依存的网络对随机故障，特别是对有针对性的攻击极为敏感，因此，一个网络中一小部分节点的故障就会导致几个相互依存的网络中出现一连串的故障。电气停电经常是由相互依赖的网络之间的故障级联造成的，近年来发生的几次大规模停电事件就极大地说明了这个问题。停电是网络之间的依存关系所起的重要作用的一个引人入胜的证明。例如，2003年意大利大停电导致铁路网、医疗系统、金融服务大面积瘫痪，此外，还严重影响了电信网络。通信系统的部分故障又进一步损害了电网管理系统，从而对电网产生了正反馈。这个例子强调了在一个相互影响的网络系统中，相互依赖性是如何显著放大损害的。基于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 渗流理论 Percolation Theory&amp;lt;/font&amp;gt;'''，最近发展了一个研究耦合网络之间级联故障的框架。1 = r.在相互依赖的网络中灾难性的级联故障 | 杂志 = 自然 | 年 = 2010 | 卷 = 464 | 页 = 1025-8 | doi = 10.1038/nature08932 | url =  http://Havlin.biu.ac.il/publications.php?keyword=Catastrophic+cascade+of+failures+in+interdependent+networks&amp;amp;year=*&amp;amp;match=all|pmid=20393559|issue=7291&lt;br /&gt;
 &lt;br /&gt;
|arxiv=1012.0206|bibcode=2010Natur.464.1025B}}&amp;lt;/ref&amp;gt; The cascading failures can lead to abrupt collapse compare to percolation in a single network where the breakdown of the network is continuous, see Fig. 2.&lt;br /&gt;
&lt;br /&gt;
|arxiv=1012.0206|bibcode=2010Natur.464.1025B}}&amp;lt;/ref&amp;gt; The cascading failures can lead to abrupt collapse compare to percolation in a single network where the breakdown of the network is continuous, see Fig. 2.&lt;br /&gt;
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与级联故障可能会导致突然崩溃相比，在单一网络中，网络的崩溃是连续的，见图2。&lt;br /&gt;
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Cascading failures in spatially embedded systems have been&lt;br /&gt;
&lt;br /&gt;
Cascading failures in spatially embedded systems have been&lt;br /&gt;
&lt;br /&gt;
空间嵌入式系统中的级联故障已经成为当前研究的热点。&lt;br /&gt;
&lt;br /&gt;
shown to lead to extreme vulnerability.&amp;lt;ref name=&amp;quot;BashanBerezin2013&amp;quot;&amp;gt;{{cite journal|last1=Bashan|first1=Amir|last2=Berezin|first2=Yehiel|last3=Buldyrev|first3=Sergey V.|last4=Havlin|first4=Shlomo|title=The extreme vulnerability of interdependent spatially embedded networks|journal=Nature Physics|year=2013|issn=1745-2473|doi=10.1038/nphys2727|volume=9|issue=10|pages=667–672|arxiv=1206.2062|bibcode=2013NatPh...9..667B}}&amp;lt;/ref&amp;gt; For the dynamic process of cascading failures see ref.&amp;lt;ref&amp;gt;{{Cite journal|last=Zhou|first=D.|last2=Bashan|first2=A.|last3=Cohen|first3=R.|last4=Berezin|first4=Y.|last5=Shnerb|first5=N.|last6=Havlin|first6=S.|date=2014|title=Simultaneous first- and second-order percolation transitions in interdependent networks|url=|journal=Phys. Rev. E|volume=90|issue=1|pages=012803|bibcode=2014PhRvE..90a2803Z|doi=10.1103/PhysRevE.90.012803|pmid=25122338|arxiv=1211.2330}}&amp;lt;/ref&amp;gt; A model for repairing failures in order to avoid cascading failures was developed by Di Muro et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Di Muro|first=M. A.|last2=La Rocca|first2=C. E.|last3=Stanley|first3=H. E.|last4=Havlin|first4=S.|last5=Braunstein|first5=L. A.|date=2016-03-09|title=Recovery of Interdependent Networks|journal=Scientific Reports|language=En|volume=6|issue=1|pages=22834|doi=10.1038/srep22834|pmid=26956773|pmc=4783785|issn=2045-2322|arxiv=1512.02555|bibcode=2016NatSR...622834D}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
shown to lead to extreme vulnerability. For the dynamic process of cascading failures see ref. A model for repairing failures in order to avoid cascading failures was developed by Di Muro et al.&lt;br /&gt;
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显示会导致极端的脆弱性。关于级联故障的动态过程见参考文献。Di Muro等人开发了一个修复故障的模型，以避免级联故障。&lt;br /&gt;
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Furthermore, it was shown that such systems when embedded in space are extremely vulnerable to localized attacks or failures. Above a critical radius of damage, the failure may spread to the entire system.&amp;lt;ref&amp;gt;{{Cite journal|last=Berezin|first=Yehiel|last2=Bashan|first2=Amir|last3=Danziger|first3=Michael M.|last4=Li|first4=Daqing|last5=Havlin|first5=Shlomo|date=2015-03-11|title=Localized attacks on spatially embedded networks with dependencies|journal=Scientific Reports|language=en|volume=5|issue=1|pages=8934|doi=10.1038/srep08934|pmid=25757572|pmc=4355725|issn=2045-2322|bibcode=2015NatSR...5E8934B}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Furthermore, it was shown that such systems when embedded in space are extremely vulnerable to localized attacks or failures. Above a critical radius of damage, the failure may spread to the entire system.&lt;br /&gt;
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此外，研究表明，当这种系统嵌入空间时，极易受到局部攻击或故障的影响。超过临界损伤半径，故障可能扩散到整个系统。&lt;br /&gt;
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== Model for overload cascading failures ==&lt;br /&gt;
过载级联故障模型&lt;br /&gt;
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A model for cascading failures due to overload propagation is the Motter–Lai model.&amp;lt;ref&amp;gt;{{Cite journal|last=Motter|first=A. E.|last2=Lai|first2=Y. C.|date=2002|title=Cascade-based attacks on complex networks|url=|journal=Phys. Rev. E|volume=66|issue=6 Pt 2|pages=065102|doi=10.1103/PhysRevE.66.065102|pmid=12513335|bibcode=2002PhRvE..66f5102M|arxiv=cond-mat/0301086}}&amp;lt;/ref&amp;gt; The tempo-spatial propagation of such failures have been studied by Jichang Zhao et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Zhao|first=J.|last2=Li|first2=D.|last3=Sanhedrai|first3=H.|last4=Cohen|first4=R.|last5=Havlin|first5=S.|date=2016|title=Spatio-temporal propagation of cascading overload failures in spatially embedded networks|url=|journal=Nature Communications|volume=7|pages=10094|bibcode=2016NatCo...710094Z|doi=10.1038/ncomms10094|pmid=26754065|pmc=4729926}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A model for cascading failures due to overload propagation is the Motter–Lai model. The tempo-spatial propagation of such failures have been studied by Jichang Zhao et al.&lt;br /&gt;
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过载传播导致的级联故障的模型是Motter-Lai模型。赵继昌等人对这种故障的速度空间传播进行了研究。&lt;br /&gt;
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== See also ==&lt;br /&gt;
请参阅&lt;br /&gt;
&lt;br /&gt;
{{div col}}&lt;br /&gt;
&lt;br /&gt;
* [[Power outage|Blackouts]]&lt;br /&gt;
*[[停电|停电]]。&lt;br /&gt;
&lt;br /&gt;
* [[Brittle system]]&lt;br /&gt;
* [[脆性系统]]&lt;br /&gt;
&lt;br /&gt;
* [[Butterfly effect]]&lt;br /&gt;
* [[蝴蝶效应]]&lt;br /&gt;
&lt;br /&gt;
* [[Byzantine failure]]&lt;br /&gt;
* [[拜占庭故障]]&lt;br /&gt;
&lt;br /&gt;
* [[Cascading rollback]]&lt;br /&gt;
* [[级联回滚]]&lt;br /&gt;
&lt;br /&gt;
* [[Chain reaction]]&lt;br /&gt;
* [[连锁反应]]&lt;br /&gt;
&lt;br /&gt;
* [[Chaos theory]]&lt;br /&gt;
* [[混沌理论]]&lt;br /&gt;
&lt;br /&gt;
* [[Cache stampede]]&lt;br /&gt;
* [[缓存雪崩]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Congestion collapse]]&lt;br /&gt;
* [[拥堵崩溃]]&lt;br /&gt;
&lt;br /&gt;
* [[Domino effect]]&lt;br /&gt;
* [[多米诺效应]]&lt;br /&gt;
&lt;br /&gt;
* [[For Want of a Nail (proverb)]]&lt;br /&gt;
* [[只因少了一颗钉子（谚语）]]&lt;br /&gt;
&lt;br /&gt;
* [[Interdependent networks]]&lt;br /&gt;
* [[相互依赖的网络]]&lt;br /&gt;
&lt;br /&gt;
* [[Kessler Syndrome]]&lt;br /&gt;
* [[凯斯勒综合症]]&lt;br /&gt;
&lt;br /&gt;
* [[Percolation theory]]&lt;br /&gt;
* [[渗流理论]]&lt;br /&gt;
&lt;br /&gt;
* [[Progressive collapse]]&lt;br /&gt;
* [[渐进式崩溃]]&lt;br /&gt;
&lt;br /&gt;
* [[Virtuous circle and vicious circle]]&lt;br /&gt;
*[[良性循环和恶性循环]]&lt;br /&gt;
&lt;br /&gt;
* [[Wicked problem]]&lt;br /&gt;
* [[抗解问题]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{div col end}}&lt;br /&gt;
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== References ==&lt;br /&gt;
参考&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{reflist}}&lt;br /&gt;
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== Further reading ==&lt;br /&gt;
进一步阅读&lt;br /&gt;
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* {{cite web &lt;br /&gt;
&lt;br /&gt;
 |url=http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf &lt;br /&gt;
&lt;br /&gt;
 |url=http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf &lt;br /&gt;
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Http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf&lt;br /&gt;
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具有度相关性的 SF 网络级联故障的防御策略比较&lt;br /&gt;
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* {{cite web&lt;br /&gt;
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1000 http://redmondmag.com/columns/print.asp&lt;br /&gt;
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1000 https://web.archive.org/web/20070928164525/http://redmondmag.com/columns/print.asp&lt;br /&gt;
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* {{cite web &lt;br /&gt;
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== External links ==&lt;br /&gt;
&lt;br /&gt;
* [https://web.archive.org/web/20060827050151/http://www.windows.ucar.edu/spaceweather/blackout.html Space Weather: Blackout — Massive Power Grid Failure]&lt;br /&gt;
&lt;br /&gt;
* [https://web.archive.org/web/20071022110507/http://vlab.infotech.monash.edu.au/simulations/networks/cascading-failure/ Cascading failure demo applet] (Monash University's Virtual Lab)&lt;br /&gt;
&lt;br /&gt;
* A. E. Motter and Y.-C. Lai, [http://chaos1.la.asu.edu/~yclai/papers/PRE_02_ML_3.pdf ''Cascade-based attacks on complex networks,''] Physical Review E (Rapid Communications) 66, 065102 (2002).&lt;br /&gt;
&lt;br /&gt;
* P. Crucitti, V. Latora and M. Marchiori, [https://pdfs.semanticscholar.org/aeda/97ccce03a5979dd4196fb7544ee0dc546f18.pdf ''Model for cascading failures in complex networks,''] Physical Review E (Rapid Communications) 69, 045104 (2004).&lt;br /&gt;
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* [https://web.archive.org/web/20040704132003/http://www.epri.com/programHigh.asp?objid=261741 Protection Strategies for Cascading Grid Failures — A Shortcut Approach]&lt;br /&gt;
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* I. Dobson, B. A. Carreras, and D. E. Newman, [https://web.archive.org/web/20060222073252/http://eceserv0.ece.wisc.edu/~dobson/PAPERS/dobsonPEIS05.pdf preprint] A loading-dependent model of probabilistic cascading failure, Probability in the Engineering and Informational Sciences, vol. 19, no. 1, January 2005, pp.&amp;amp;nbsp;15–32.&lt;br /&gt;
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* [https://www.pbs.org/wgbh/nova/transcripts/3105_aircrash.html Nova: Crash of Flight 111] on September 2, 1998. [[Swissair Flight 111]] flying from New York to Geneva slammed into the Atlantic Ocean off the coast of Nova Scotia with 229 people aboard. Originally believed a terrorist act. After $39 million investigation, insurance settlement of $1.5 billion and more than four years, investigators unravel the puzzle: cascading failure. What is the legacy of Swissair 111? &amp;quot;We have a window into the internal structure of design, checks and balances, protection, and safety.&amp;quot; -David Evans, Editor-in-Chief of Air Safety Week.&lt;br /&gt;
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* PhysicsWeb story: [http://physicsweb.org/articles/news/5/11/9 Accident grounds neutrino lab]&lt;br /&gt;
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* [http://necsi.edu/affiliates/braha/StructureandDynamics.htm The Structure and Dynamics of Large Scale Organizational Networks (Dan Braha, New England Complex Systems Institute)]&lt;br /&gt;
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*From Single Network to Network of Networks http://havlin.biu.ac.il/Pdf/Bremen070715a.pdf&lt;br /&gt;
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{{Electricity delivery}}&lt;br /&gt;
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[[Category:Failure]]&lt;br /&gt;
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Category:Failure&lt;br /&gt;
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类别: 失败&lt;br /&gt;
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[[Category:Reliability engineering]]&lt;br /&gt;
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Category:Reliability engineering&lt;br /&gt;
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[[Category:Electric power transmission]]&lt;br /&gt;
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Category:Electric power transmission&lt;br /&gt;
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类别: 输电系统&lt;br /&gt;
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[[Category:Systemic risk]]&lt;br /&gt;
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Category:Systemic risk&lt;br /&gt;
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类别: 系统性风险&lt;br /&gt;
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[[Category:Systems science]]&lt;br /&gt;
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Category:Systems science&lt;br /&gt;
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类别: 系统科学&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Cascading failure]]. Its edit history can be viewed at [[级联故障/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B8%95%E7%B4%AF%E6%89%98%E6%9C%80%E4%BC%98&amp;diff=14735</id>
		<title>帕累托最优</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B8%95%E7%B4%AF%E6%89%98%E6%9C%80%E4%BC%98&amp;diff=14735"/>
		<updated>2020-10-04T07:34:22Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;此词条由袁一博翻译，未经人工整理和审校，带来阅读不便，请见谅。&lt;br /&gt;
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{{short description|State in which no reallocation of resources can make everyone at least as well off}}&lt;br /&gt;
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{{Use mdy dates|date=January 2016}}&lt;br /&gt;
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'''Pareto efficiency''' or '''Pareto optimality''' is a situation that cannot be modified so as to make any one individual or preference criterion better off without making at least one individual or preference criterion worse off. The concept is named after [[Vilfredo Pareto]] (1848–1923), Italian engineer and economist, who used the concept in his studies of [[economic efficiency]] and [[income distribution]]. The following three concepts are closely related:&lt;br /&gt;
&lt;br /&gt;
Pareto efficiency or Pareto optimality is a situation that cannot be modified so as to make any one individual or preference criterion better off without making at least one individual or preference criterion worse off. The concept is named after Vilfredo Pareto (1848–1923), Italian engineer and economist, who used the concept in his studies of economic efficiency and income distribution. The following three concepts are closely related:&lt;br /&gt;
&lt;br /&gt;
帕累托效率或帕累托最优是一种不能被修改的情况，它使得任何个体或优先准则变得更好而不使至少一个个体或一项优先准则变得更差。这个概念是以意大利工程师、经济学家维尔弗雷多·帕累托（1848-1923）的名字命名的。他在研究'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;经济效率&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;收入分配&amp;lt;/font&amp;gt;'''时使用了这个概念。以下三个概念密切相关：&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）专有名词与疑难句 后面需要附上英文&lt;br /&gt;
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* Given an initial situation, a '''Pareto improvement''' is a new situation which is weakly preferred by all agents, and strictly preferred by at least one agent. In a sense, it is a unanimously-agreed improvement: if we move to the new situation, some agents will gain, and no agents will lose.&lt;br /&gt;
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* A situation is called '''Pareto dominated''' if it has a Pareto improvement. &lt;br /&gt;
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* A situation is called '''Pareto optimal''' or '''Pareto efficient''' if it is not Pareto dominated.&lt;br /&gt;
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* 在一个给定的初始条件下，一个帕累托改进指的是一种不为大多数主体所喜爱但被至少一个主体喜爱的状况。在某种意义上，它是一种一致同意的改进：如果我们处于这种新的情况下，某些主体可能获利，且没有主体会蒙受损失。&lt;br /&gt;
*一种状况如果拥有一个帕累托改进，那么它被称作受帕累托支配的。&lt;br /&gt;
*一种状况如果是不受帕累托支配的，那么它被称作帕累托最优的或帕累托有效的。&lt;br /&gt;
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The '''Pareto frontier''' is the set of all Pareto efficient allocations, conventionally shown [[Chart|graphically]]. It also is variously known as the '''Pareto front''' or '''Pareto set'''.&amp;lt;ref&amp;gt;{{Cite web|url=http://www.cenaero.be/Page.asp?docid=27103&amp;amp;|title=Pareto Front|last=proximedia|website=www.cenaero.be|access-date=2018-10-08}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The Pareto frontier is the set of all Pareto efficient allocations, conventionally shown graphically. It also is variously known as the Pareto front or Pareto set.&lt;br /&gt;
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帕累托边界是所有帕累托有效分配的集合，按惯例以图表形式表示它。它也被称为帕累托前沿或帕累托集。&lt;br /&gt;
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&amp;quot;Pareto efficiency&amp;quot; is considered as a minimal notion of efficiency that does not necessarily result in a socially desirable distribution of resources: it makes no statement about [[Social equality|equality]], or the overall well-being of a society.&amp;lt;ref&amp;gt;{{cite journal |authorlink=Amartya Sen |first=A. |last=Sen |title=Markets and freedom: Achievements and limitations of the market mechanism in promoting individual freedoms |journal=Oxford Economic Papers |volume=45 |issue=4 |pages=519–541 |date=October 1993 |jstor=2663703 |url=http://www.cs.princeton.edu/courses/archive/spr06/cos444/papers/sen.pdf |doi=10.1093/oxfordjournals.oep.a042106 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |first=N. |last=Barr |author-link=Nicholas Barr|chapter=3.2.2 The relevance of efficiency to different theories of society |title=Economics of the Welfare State |year=2012 |publisher=[[Oxford University Press]] |isbn=978-0-19-929781-8 |pages=[https://books.google.com/books?id=DOg0BM1XiqQC&amp;amp;pg=PA46 46–49] |edition=5th}}&amp;lt;/ref&amp;gt;{{rp|46–49}} It is a necessary, but not sufficient, condition of efficiency.&lt;br /&gt;
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&amp;quot;Pareto efficiency&amp;quot; is considered as a minimal notion of efficiency that does not necessarily result in a socially desirable distribution of resources: it makes no statement about equality, or the overall well-being of a society. It is a necessary, but not sufficient, condition of efficiency.&lt;br /&gt;
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“帕累托最优”被认为是一种狭义的效率，它不一定产生社会所期望的资源分配: 它没有为平等或一个社会的总体福祉发声。它是效率的必要不充分条件。&lt;br /&gt;
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In addition to the context of efficiency in ''allocation'', the concept of Pareto efficiency also arises in the context of [[productive efficiency|''efficiency in production'']] vs. ''[[x-inefficiency]]'': a set of outputs of goods is Pareto efficient if there is no feasible re-allocation of productive inputs such that output of one product increases while the outputs of all other goods either increase or remain the same.&amp;lt;ref&amp;gt;[[John D. Black|Black, J. D.]], Hashimzade, N., &amp;amp; [[Gareth Myles|Myles, G.]], eds., ''A Dictionary of Economics'', 5th ed. (Oxford: Oxford University Press, 2017), [https://books.google.com/books?id=WyvYDQAAQBAJ&amp;amp;pg=PT459 p. 459].&amp;lt;/ref&amp;gt;{{rp|459}}&lt;br /&gt;
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In addition to the context of efficiency in allocation, the concept of Pareto efficiency also arises in the context of efficiency in production vs. x-inefficiency: a set of outputs of goods is Pareto efficient if there is no feasible re-allocation of productive inputs such that output of one product increases while the outputs of all other goods either increase or remain the same.&lt;br /&gt;
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除了分配效率的背景之外，帕累托最优的概念也出现在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;生产效率&amp;lt;/font&amp;gt;'''对比于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;x-低效率&amp;lt;/font&amp;gt;'''的背景之下，即如果生产投入没有可行的再分配，或者说一种产品的产出增加，而所有其他产品的产出增加或保持不变，那么一组产品的产出就是帕累托有效的。&lt;br /&gt;
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Besides economics, the notion of Pareto efficiency has been applied to the selection of alternatives in [[engineering]] and [[biology]]. Each option is first assessed, under multiple criteria, and then a subset of options is ostensibly identified with the property that no other option can categorically outperform the specified option.  It is a statement of impossibility of improving one variable without harming other variables in the subject of [[multi-objective optimization]] (also termed '''Pareto optimization''').&lt;br /&gt;
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Besides economics, the notion of Pareto efficiency has been applied to the selection of alternatives in engineering and biology. Each option is first assessed, under multiple criteria, and then a subset of options is ostensibly identified with the property that no other option can categorically outperform the specified option.  It is a statement of impossibility of improving one variable without harming other variables in the subject of multi-objective optimization (also termed Pareto optimization).&lt;br /&gt;
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除了经济学，帕累托最优的概念已经应用到工程和生物学中的替代品的选择。首先根据多项标准对每个选项进行评估，然后确定选项子集，其中的任何元素都具有没有其他选项可以明确胜过该元素的属性。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;多目标优化&amp;lt;/font&amp;gt;'''(又称帕累托优化)中，这是一种对在不损害其他变量的情况下改进一个变量的不可能性的陈述。&lt;br /&gt;
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== Overview  综述 ==&lt;br /&gt;
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&amp;quot;Pareto optimality&amp;quot; is a formally defined concept used to describe when an [[resource allocation|allocation]] is optimal. An allocation is ''not'' Pareto optimal if there is an alternative allocation where improvements can be made to at least one participant's well-being without reducing any other participant's well-being. If there is a transfer that satisfies this condition, the reallocation is called a &amp;quot;Pareto improvement&amp;quot;. When no further Pareto improvements are possible, the allocation is a &amp;quot;Pareto optimum&amp;quot;.&lt;br /&gt;
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&amp;quot;Pareto optimality&amp;quot; is a formally defined concept used to describe when an allocation is optimal. An allocation is not Pareto optimal if there is an alternative allocation where improvements can be made to at least one participant's well-being without reducing any other participant's well-being. If there is a transfer that satisfies this condition, the reallocation is called a &amp;quot;Pareto improvement&amp;quot;. When no further Pareto improvements are possible, the allocation is a &amp;quot;Pareto optimum&amp;quot;.&lt;br /&gt;
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“帕累托最优”是一个正式定义的概念，用来描述一个分配何时是最优的。如果有一种替代性的分配方式可以在不降低任何其他参与者福祉的情况下改善至少一个参与者的福祉，那么这种分配就不是帕累托最优的。如果有一个转移满足这个条件，这个再分配就被称为“帕累托改进”。当无法进一步实现帕累托改进时，这个分配就是“帕累托最优”。&lt;br /&gt;
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The formal presentation of the concept in an economy is as follows: Consider an economy with &amp;lt;math&amp;gt; n&amp;lt;/math&amp;gt; agents and &amp;lt;math&amp;gt; k &amp;lt;/math&amp;gt; goods. Then an allocation &amp;lt;math&amp;gt; \{x_1, ..., x_n\} &amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt; x_i \in \mathbb{R}^k &amp;lt;/math&amp;gt; for all ''i'', is ''Pareto optimal'' if there is no other feasible allocation &amp;lt;math&amp;gt; \{x_1', ..., x_n'\} &amp;lt;/math&amp;gt; such that, for utility function &amp;lt;math&amp;gt; u_i &amp;lt;/math&amp;gt; for each agent &amp;lt;math&amp;gt; i &amp;lt;/math&amp;gt;, &amp;lt;math&amp;gt; u_i(x_i') \geq u_i(x_i) &amp;lt;/math&amp;gt; for all &amp;lt;math&amp;gt; i \in \{1, ..., n\} &amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; u_i(x_i') &amp;gt; u_i(x_i) &amp;lt;/math&amp;gt; for some &amp;lt;math&amp;gt; i&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;AndreuMas95&amp;quot;&amp;gt;{{citation|author-link=Andreu Mas-Colell|last1=Mas-Colell|first1=A.|first2=Michael D.|last2=Whinston|first3=Jerry R.|last3=Green|year=1995|title=Microeconomic Theory|chapter=Chapter 16: Equilibrium and its Basic Welfare Properties|publisher=Oxford University Press|isbn=978-0-19-510268-0|url-access=registration|url=https://archive.org/details/isbn_9780198089537}}&amp;lt;/ref&amp;gt; Here, in this simple economy, &amp;quot;feasibility&amp;quot; refers to an allocation where the total amount of each good that is allocated sums to no more than the total amount of the good in the economy. In a more complex economy with production, an allocation would consist both of consumption [[Vector space|vector]]s and production vectors, and feasibility would require that the total amount of each consumed good is no greater than the initial endowment plus the amount produced.&lt;br /&gt;
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The formal presentation of the concept in an economy is as follows: Consider an economy with &amp;lt;math&amp;gt; n&amp;lt;/math&amp;gt; agents and &amp;lt;math&amp;gt; k &amp;lt;/math&amp;gt; goods. Then an allocation &amp;lt;math&amp;gt; \{x_1, ..., x_n\} &amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt; x_i \in \mathbb{R}^k &amp;lt;/math&amp;gt; for all i, is Pareto optimal if there is no other feasible allocation &amp;lt;math&amp;gt; \{x_1', ..., x_n'\} &amp;lt;/math&amp;gt; such that, for utility function &amp;lt;math&amp;gt; u_i &amp;lt;/math&amp;gt; for each agent &amp;lt;math&amp;gt; i &amp;lt;/math&amp;gt;, &amp;lt;math&amp;gt; u_i(x_i') \geq u_i(x_i) &amp;lt;/math&amp;gt; for all &amp;lt;math&amp;gt; i \in \{1, ..., n\} &amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; u_i(x_i') &amp;gt; u_i(x_i) &amp;lt;/math&amp;gt; for some &amp;lt;math&amp;gt; i&amp;lt;/math&amp;gt;. Here, in this simple economy, &amp;quot;feasibility&amp;quot; refers to an allocation where the total amount of each good that is allocated sums to no more than the total amount of the good in the economy. In a more complex economy with production, an allocation would consist both of consumption vectors and production vectors, and feasibility would require that the total amount of each consumed good is no greater than the initial endowment plus the amount produced.&lt;br /&gt;
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这个概念在一个经济体系中的正式表现如下: 考虑一个有''n''个主体和''k''个商品的经济体系，如果没有其他可行的分配'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''使得对于效用函数对任意主体''i''满足'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，它对某些个体''i''满足'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，那么一个分配'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，是 Pareto 最优的，其中对任意''i''，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。在这个简单的经济体系中，“可行性”是指每种商品的分配总额不超过该经济体系中所有商品的总额。在一个有生产能力的更为复杂的经济体中，一个分配将包括消费载体和生产载体，且可行性要求每种消费品的总量不大于初始禀赋加上生产总量。&lt;br /&gt;
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In principle, a change from a generally inefficient economic allocation to an efficient one is not necessarily considered to be a Pareto improvement. Even when there are overall gains in the economy, if a single agent is disadvantaged by the reallocation, the allocation is not Pareto optimal. For instance, if a change in economic policy eliminates a monopoly and that market subsequently becomes competitive, the gain to others may be large. However, since the monopolist is disadvantaged, this is not a Pareto improvement. In theory, if the gains to the economy are larger than the loss to the monopolist, the monopolist could be compensated for its loss while still leaving a net gain for others in the economy, allowing for a Pareto improvement. Thus, in practice, to ensure that nobody is disadvantaged by a change aimed at achieving Pareto efficiency, [[compensation principle|compensation]] of one or more parties may be required. It is acknowledged, in the real world, that such compensations may have [[unintended consequences]] leading to incentive distortions over time, as agents supposedly anticipate such compensations and change their actions accordingly.&amp;lt;ref&amp;gt;See [[Ricardian equivalence]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In principle, a change from a generally inefficient  to an efficient one is not necessarily considered to be a Pareto improvement. Even when there are overall gains in the economy, if a single agent is disadvantaged by the reallocation, the allocation is not Pareto optimal. For instance, if a change in economic policy eliminates a monopoly and that market subsequently becomes competitive, the gain to others may be large. However, since the monopolist is disadvantaged, this is not a Pareto improvement. In theory, if the gains to the economy are larger than the loss to the monopolist, the monopolist could be compensated for its loss while still leaving a net gain for others in the economy,  a Pareto improvement. Thus, in practice, to ensure that nobody is disadvantaged by a change aimed at achieving Pareto efficiency, compensation of one or more parties may be required. It is acknowledged, in the real world, that such compensations may have unintended consequences leading to incentive distortions over time, as agents supposedly anticipate such compensations and change their actions accordingly.&lt;br /&gt;
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原则上，从一个普遍低效率的经济分配到一个高效率的经济分配的转变不一定被认为是一个帕累托改进。即使经济总体是获益的，如果一个主体在再分配中处于不利地位，这个分配也不是帕累托最优的。例如，如果经济政策的某个改变消除了垄断，市场随后变得具有竞争力，那么其他主体的收益可能很大。然而，由于垄断者处于不利地位，这不是一个帕累托改善。理论上，如果经济体系的收益大于垄断者的损失，考虑到帕累托改善，垄断者可以在为经济体系中的其他主体留下净收益的情况下得到补偿。因此，在实践中，为了确保没有人会因为旨在实现帕累托最优的改变而处于不利地位，可能需要对一个或多个当事方进行补偿。在现实世界中，因为代理人可能预期这种补偿并相应地改变他们的行为，随着时间的推移，这种补偿可能会造成意外的后果以及动机的扭曲。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“帕累托改善”“帕累托改进”名词注意统一&lt;br /&gt;
Under the idealized conditions of the [[first welfare theorem]], a system of [[free market]]s, also called a &amp;quot;[[competitive equilibrium]]&amp;quot;, leads to a Pareto-efficient outcome. It was first demonstrated mathematically by economists [[Kenneth Arrow]] and [[Gérard Debreu]].&lt;br /&gt;
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Under the idealized conditions of the first welfare theorem, a system of free markets, also called a &amp;quot;competitive equilibrium&amp;quot;, leads to a Pareto-efficient outcome. It was first demonstrated mathematically by economists Kenneth Arrow and Gérard Debreu.&lt;br /&gt;
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在福利经济学第一定理的理想条件下，一个自由市场系统，也称为“竞争均衡” ，对应一个帕累托有效的结果。经济学家肯尼斯·阿罗(Kenneth Arrow)和杰拉德·迪布鲁(Gérard Debreu)首先用数学方法证明了这一点。&lt;br /&gt;
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However, the result only holds under the restrictive assumptions necessary for the proof: markets exist for all possible goods, so there are no [[externality|externalities]]; all markets are in full equilibrium; markets are perfectly competitive; transaction costs are negligible; and market participants have [[perfect information]].&lt;br /&gt;
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However, the result only holds under the restrictive assumptions necessary for the proof: markets exist for all possible goods, so there are no externalities; all markets are in full equilibrium; markets are perfectly competitive; transaction costs are negligible; and market participants have perfect information.&lt;br /&gt;
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然而，这个结果只有在证明所需的限制性假设下才成立，即所有可能的商品都存在市场，因此不存在外部效应; 所有市场都处于完全均衡状态; 市场是完全竞争的; 交易成本是可忽略的; 市场参与者拥有完全的信息。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）在博弈论中有“完全的信息”为完全信息&lt;br /&gt;
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In the absence of perfect information or complete markets, outcomes will generally be Pareto inefficient, per the [[Joseph Stiglitz#Information asymmetry|Greenwald-Stiglitz theorem]].&amp;lt;ref&amp;gt;{{Cite journal |doi=10.2307/1891114 |last1=Greenwald |first1=B. |last2=Stiglitz |first2=J. E. |author1-link=Bruce Greenwald |author2-link=Joseph E. Stiglitz |journal=Quarterly Journal of Economics |volume=101 |issue=2 |pages=229–64 |year=1986 |title=Externalities in economies with imperfect information and incomplete markets |jstor=1891114}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In the absence of perfect information or complete markets, outcomes will generally be Pareto inefficient, per the Greenwald-Stiglitz theorem.&lt;br /&gt;
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根据 Greenwald-Stiglitz 定理，在缺乏完全信息或完全市场的情况下，这个结果通常是帕累托低效的。&lt;br /&gt;
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The [[second welfare theorem]] is essentially the reverse of the first welfare-theorem. It states that under similar, ideal assumptions, any Pareto optimum can be obtained by some [[competitive equilibrium]], or [[free market]] system, although it may also require a [[lump-sum]] transfer of wealth.&amp;lt;ref name=&amp;quot;AndreuMas95&amp;quot;/&amp;gt;&lt;br /&gt;
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The second welfare theorem is essentially the reverse of the first welfare-theorem. It states that under similar, ideal assumptions, any Pareto optimum can be obtained by some competitive equilibrium, or free market system, although it may also require a lump-sum transfer of wealth.&lt;br /&gt;
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福利经济学第二定理实质上是福利经济学第一定理的逆转。它指出，在类似的理想假设下，任何帕累托最优都可以通过某种竞争均衡或自由市场制度获得，尽管它可能也需要一次性转移财富。&lt;br /&gt;
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== Weak Pareto efficiency{{anchor|weak}}  弱帕累托效率 ==d&lt;br /&gt;
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'''Weak Pareto optimality''' is a situation that cannot be strictly improved for ''every'' individual.&amp;lt;ref&amp;gt;{{Cite book | doi=10.1007/978-1-4020-9160-5_341|chapter = Pareto Optimality|title = Encyclopedia of Global Justice| pages=808–809|year = 2011|last1 = Mock|first1 = William B T.| isbn=978-1-4020-9159-9}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
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Weak Pareto optimality is a situation that cannot be strictly improved for every individual. &lt;br /&gt;
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弱帕累托最优是一种不能严格地改善每个个体的情况。&lt;br /&gt;
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Formally, we define a '''strong pareto improvement''' as a situation in which all agents are strictly better-off (in contrast to just &amp;quot;Pareto improvement&amp;quot;, which requires that one agent is strictly better-off and the other agents are at least as good).  A situation is '''weak Pareto-optimal''' if it has no strong Pareto-improvements.&lt;br /&gt;
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Formally, we define a strong pareto improvement as a situation in which all agents are strictly better-off (in contrast to just &amp;quot;Pareto improvement&amp;quot;, which requires that one agent is strictly better-off and the other agents are at least as good).  A situation is weak Pareto-optimal if it has no strong Pareto-improvements.&lt;br /&gt;
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在形式上，我们将强帕累托改善定义为所有主体严格处于较好状态的情况(与之相对的只是“帕累托改进” ，它要求一个主体严格处于较好状态，而其他主体至少同样良好)。没有强帕累托改进的情况是弱帕累托最优的。&lt;br /&gt;
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Any strong Pareto-improvement is also a weak Pareto-improvement. The opposite is not true; for example, consider a resource allocation problem with two resources, which Alice values at 10, 0 and George values at 5, 5. Consider the allocation giving all resources to Alice, where the utility profile is (10,0).&lt;br /&gt;
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Any strong Pareto-improvement is also a weak Pareto-improvement. The opposite is not true; for example, consider a resource allocation problem with two resources, which Alice values at 10, 0 and George values at 5, 5. Consider the allocation giving all resources to Alice, where the utility profile is (10,0).&lt;br /&gt;
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任何强帕累托改进也是弱帕累托改进。反之则不然; 例如，考虑一个包含两个资源的资源分配问题，Alice值为10,0，George值为5,5。考虑将所有资源分配给 Alice 的分配，它的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''为(10,0)。&lt;br /&gt;
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* It is a weak-PO, since no other allocation is strictly better to both agents (there are no strong Pareto improvements). &lt;br /&gt;
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* But it is not a strong-PO, since the allocation in which George gets the second resource is strictly better for George and weakly better for Alice (it is a weak Pareto improvement) - its utility profile is (10,5)&lt;br /&gt;
* 它是一个弱帕累托最优，因为没有其他任何分配对上述两个主体是更优的（没有强帕累托改进）。&lt;br /&gt;
* 但它不是一个强帕累托最优，因为这个George在其中得到第二顺位的资源的分配对George是严格更优的且对Alice是弱更优的（它是一个弱帕累托改进），它的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''为(10,5)&lt;br /&gt;
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A market doesn't require [[local nonsatiation]] to get to a weak Pareto-optimum.&amp;lt;ref&amp;gt;Markey‐Towler, Brendan and John Foster. &amp;quot;[http://www.uq.edu.au/economics/abstract/476.pdf Why economic theory has little to say about the causes and effects of inequality]&amp;quot;, School of Economics, [[University of Queensland]], Australia, 21 February 2013, RePEc:qld:uq2004:476&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A market doesn't require local nonsatiation to get to a weak Pareto-optimum.&lt;br /&gt;
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市场不需要局部不饱和就能达到弱帕累托最优。&lt;br /&gt;
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== Constrained Pareto efficiency {{anchor|Constrained Pareto efficiency}}  受约束的帕累托效率 ==&lt;br /&gt;
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'''Constrained Pareto optimality''' is a weakening of Pareto-optimality, accounting for the fact that a potential planner (e.g., the government) may not be able to improve upon a decentralized market outcome, even if that outcome is inefficient. This will occur if it is limited by the same informational or institutional constraints as are individual agents.&amp;lt;ref&amp;gt;Magill, M., &amp;amp; [[Martine Quinzii|Quinzii, M.]], ''Theory of Incomplete Markets'', MIT Press, 2002, [https://books.google.com/books?id=d66GXq2F2M0C&amp;amp;pg=PA104#v=onepage&amp;amp;q&amp;amp;f=false p. 104].&amp;lt;/ref&amp;gt;{{rp|104}}&lt;br /&gt;
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Constrained Pareto optimality is a weakening of Pareto-optimality, accounting for the fact that a potential planner (e.g., the government) may not be able to improve upon a decentralized market outcome, even if that outcome is inefficient. This will occur if it is limited by the same informational or institutional constraints as are individual agents.&lt;br /&gt;
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受约束的帕累托最优是帕累托最优的弱化，因为一个潜在的规划者(比如政府)可能无法改善分散市场的结果，即使这个结果是低效的。如果它受到与独立主体相同的信息或机构约束的限制，就会发生这种情况。&lt;br /&gt;
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An example is of a setting where individuals have private information (for example, a labor market where the worker's own productivity is known to the worker but not to a potential employer, or a used-car market where the quality of a car is known to the seller but not to the buyer) which results in [[moral hazard]] or an [[adverse selection]] and a sub-optimal outcome. In such a case, a planner who wishes to improve the situation is unlikely to have access to any information that the participants in the markets do not have. Hence, the planner cannot implement allocation rules which are based on the idiosyncratic characteristics of individuals; for example, &amp;quot;if a person is of type A, they pay price p1, but if of type B, they pay price p2&amp;quot; (see [[Lindahl prices]]). Essentially, only anonymous rules are allowed (of the sort &amp;quot;Everyone pays price p&amp;quot;) or rules based on observable behavior; &amp;quot;if any person chooses x at price px, then they get a subsidy of ten dollars, and nothing otherwise&amp;quot;. If there exists no allowed rule that can successfully improve upon the market outcome, then that outcome is said to be &amp;quot;constrained Pareto-optimal&amp;quot;.&lt;br /&gt;
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An example is of a setting where individuals have private information (for example, a labor market where the worker's own productivity is known to the worker but not to a potential employer, or a used-car market where the quality of a car is known to the seller but not to the buyer) which results in moral hazard or an adverse selection and a sub-optimal outcome. In such a case, a planner who wishes to improve the situation is unlikely to have access to any information that the participants in the markets do not have. Hence, the planner cannot implement allocation rules which are based on the idiosyncratic characteristics of individuals; for example, &amp;quot;if a person is of type A, they pay price p1, but if of type B, they pay price p2&amp;quot; (see Lindahl prices). Essentially, only anonymous rules are allowed (of the sort &amp;quot;Everyone pays price p&amp;quot;) or rules based on observable behavior; &amp;quot;if any person chooses x at price px, then they get a subsidy of ten dollars, and nothing otherwise&amp;quot;. If there exists no allowed rule that can successfully improve upon the market outcome, then that outcome is said to be &amp;quot;constrained Pareto-optimal&amp;quot;.&lt;br /&gt;
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例如，个人拥有私人信息的情况(例如，劳动力市场中工人自己的生产率为工人所知，而潜在雇主却不知道，或者二手车市场中汽车的质量为卖方所知，而非买方所知)导致道德风险或逆向选择和次优结果。在这种情况下，希望改善局面的规划者不太可能获得市场参与者没有的任何信息。因此，计划者不能执行基于个人特质的分配规则; 例如，”如果一个人属于 a 型，他们支付 p1的价格，但如果属于 b 型，他们支付 p2的价格”(见林达尔价格)。基本上，只有隐性规则(类似于“每个人都支付价格 p”)或基于可观察行为的规则被允许; “如果任何人以价格 px 选择 x，那么他们将得到10美元的补贴，除此之外什么也得不到”。如果不存在能够成功改善市场结果的允许规则，那么该结果被称为是“受约束的帕累托最优的”。&lt;br /&gt;
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The concept of constrained Pareto optimality assumes benevolence on the part of the planner and hence is distinct from the concept of [[government failure]], which occurs when the policy making politicians fail to achieve an optimal outcome simply because they are not necessarily acting in the public's best interest.&lt;br /&gt;
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The concept of constrained Pareto optimality assumes benevolence on the part of the planner and hence is distinct from the concept of government failure, which occurs when the policy making politicians fail to achieve an optimal outcome simply because they are not necessarily acting in the public's best interest.&lt;br /&gt;
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受约束的帕累托最优的概念假定了计划者的仁慈，因此不同于政府失灵的概念。政府失灵在制定政策的政客仅仅因为他们的行为不一定符合公众的最佳利益而未能取得最佳结果时会出现。&lt;br /&gt;
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== Fractional Pareto efficiency{{anchor|fractional}}  部分帕累托效率 ==&lt;br /&gt;
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'''Fractional Pareto optimality''' is a strengthening of Pareto-optimality in the context of [[fair item allocation]]. An allocation of indivisible items is '''fractionally Pareto-optimal (fPO)''' if it is not Pareto-dominated even by an allocation in which some items are split between agents. This is in contrast to standard Pareto-optimality, which only considers domination by feasible (discrete) allocations.&amp;lt;ref&amp;gt;Barman, S., Krishnamurthy, S. K., &amp;amp; Vaish, R., [https://arxiv.org/pdf/1707.04731.pdf &amp;quot;Finding Fair and Efficient Allocations&amp;quot;], ''EC '18: Proceedings of the 2018 ACM Conference on Economics and Computation'', June 2018.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Fractional Pareto optimality is a strengthening of Pareto-optimality in the context of fair item allocation. An allocation of indivisible items is fractionally Pareto-optimal (fPO) if it is not Pareto-dominated even by an allocation in which some items are split between agents. This is in contrast to standard Pareto-optimality, which only considers domination by feasible (discrete) allocations.&lt;br /&gt;
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部分帕累托最优是在物品公平分配的背景下对帕累托最优的一个加强。 即使是在一个分配过程中，一些物品在主体之间被分配，如果一个不可分割的物品的分配不是受帕累托支配的，那么它不是部分帕累托最优(fPO)。这与标准的帕累托最优相反，因为它只考虑可行(离散)分配的控制。&lt;br /&gt;
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As an example, consider an item allocation problem with two items, which Alice values at 3, 2 and George values at 4, 1. Consider the allocation giving the first item to Alice and the second to George, where the utility profile is (3,1).&lt;br /&gt;
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As an example, consider an item allocation problem with two items, which Alice values at 3, 2 and George values at 4, 1. Consider the allocation giving the first item to Alice and the second to George, where the utility profile is (3,1).&lt;br /&gt;
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作为一个示例，考虑一个有两个项的项分配问题，Alice 值为3,2，George 值为4,1。考虑将第一个项目分配给 Alice，第二个项目分配给 George，其中'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''为(3,1)。&lt;br /&gt;
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* It is Pareto-optimal, since any other discrete allocation (without splitting items) makes someone worse-off. &lt;br /&gt;
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* However, it is not fractionally-Pareto-optimal, since it is Pareto-dominated by the allocation giving to Alice 1/2 of the first item and the whole second item, and the other 1/2 of the first item to George - its utility profile is (3.5, 2).&lt;br /&gt;
* 它是一个帕累托最优，因为其他任何离散分配（在不分离物品的情况下）都会使得某个主体变差。&lt;br /&gt;
* 但是，它不是部分帕累托最优的，因为它是受该分配帕累托支配的。它分配给了Alice第一个资源的一半和第二个资源的全部，分配给了George第一个资源的一半。它的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''是(3.5,2)。&lt;br /&gt;
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== Pareto-efficiency and welfare-maximization 帕累托效率和福利最大化==&lt;br /&gt;
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{{See also|Pareto-efficient envy-free division 同见帕累托效率与无嫉妒分割}}&lt;br /&gt;
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Suppose each agent ''i'' is assigned a positive weight ''a&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;''. For every allocation ''x'', define the ''welfare'' of ''x'' as the weighted sum of utilities of all agents in ''x'', i.e.:&lt;br /&gt;
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Suppose each agent i is assigned a positive weight a&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;. For every allocation x, define the welfare of x as the weighted sum of utilities of all agents in x, i.e.:&lt;br /&gt;
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假设每个主体 ''i'' 被赋予一个正权重。对于每个分配 ''x'' ，将 ''x'' 的福利定义为 ''x'' 中所有主体的配置的加权和，即。:&lt;br /&gt;
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&amp;lt;math&amp;gt;W_a(x) := \sum_{i=1}^n a_i u_i(x)&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Let ''x&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;'' be an allocation that maximizes the welfare over all allocations, i.e.:&lt;br /&gt;
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假设是一个在所有分配中使福利最大化的分配，即:&lt;br /&gt;
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&amp;lt;math&amp;gt;x_a \in \arg \max_{x} W_a(x)&amp;lt;/math&amp;gt;.&lt;br /&gt;
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It is easy to show that the allocation ''x&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;'' is Pareto-efficient: since all weights are positive, any Pareto-improvement would increase the sum, contradicting the definition of ''x&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
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很容易证明分配是帕累托有效的: 因为所有'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的权重都是正的，任何帕累托改进都会增加加权和，这与'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的定义相矛盾。&lt;br /&gt;
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Japanese neo-[[Léon_Walras#General_equilibrium_theory|Walrasian]] economist [[Takashi Negishi]] proved&amp;lt;ref&amp;gt;{{cite journal |last=Negishi |first=Takashi |date=1960 |title=Welfare Economics and Existence of an Equilibrium for a Competitive Economy |journal=Metroeconomica |volume=12 |issue=2–3 |pages=92–97 |doi=10.1111/j.1467-999X.1960.tb00275.x }}&amp;lt;/ref&amp;gt; that, under certain assumptions, the opposite is also true: for ''every'' Pareto-efficient allocation ''x'', there exists a positive vector ''a'' such that ''x'' maximizes ''W''&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;. A shorter proof is provided by [[Hal Varian]].&amp;lt;ref&amp;gt;{{cite journal |doi=10.1016/0047-2727(76)90018-9 |title=Two problems in the theory of fairness |journal=Journal of Public Economics |volume=5 |issue=3–4 |pages=249–260 |year=1976 |last1=Varian |first1=Hal R. |hdl=1721.1/64180 |hdl-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Japanese neo-Walrasian economist Takashi Negishi proved that, under certain assumptions, the opposite is also true: for every Pareto-efficient allocation x, there exists a positive vector a such that x maximizes W&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;. A shorter proof is provided by Hal Varian.&lt;br /&gt;
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日本新瓦尔拉斯经济学家根岸隆史(Takashi Negishi)证明，在某些假设下,该命题的逆命题也成立，即对于每一个帕累托有效配置''x''，都存在一个正向量''a''，使最大化。哈尔·瓦里安提供了一个较短的证明。&lt;br /&gt;
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== Use in engineering  工程学上的应用==&lt;br /&gt;
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The notion of Pareto efficiency has been used in engineering.&amp;lt;ref&amp;gt;Goodarzi, E., Ziaei, M., &amp;amp; Hosseinipour, E. Z., ''Introduction to Optimization Analysis in Hydrosystem Engineering'' ([[Berlin]]/[[Heidelberg]]: [[Springer Science+Business Media|Springer]], 2014), [https://books.google.com/books?id=WjS8BAAAQBAJ&amp;amp;pg=PT111 pp. 111–148].&amp;lt;/ref&amp;gt;{{rp|111–148}} Given a set of choices and a way of valuing them, the '''Pareto frontier''' or '''Pareto set''' or '''Pareto front''' is the set of choices that are Pareto efficient. By restricting attention to the set of choices that are Pareto-efficient, a designer can make [[Trade-off|tradeoffs]] within this set, rather than considering the full range of every parameter.&amp;lt;ref&amp;gt;Jahan, A., Edwards, K. L., &amp;amp; Bahraminasab, M., ''Multi-criteria Decision Analysis'', 2nd ed. ([[Amsterdam]]: [[Elsevier]], 2013), [https://books.google.com/books?id=3mreBgAAQBAJ&amp;amp;pg=PA63 pp. 63–65].&amp;lt;/ref&amp;gt;{{rp|63–65}}&lt;br /&gt;
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The notion of Pareto efficiency has been used in engineering. Given a set of choices and a way of valuing them, the Pareto frontier or Pareto set or Pareto front is the set of choices that are Pareto efficient. By restricting attention to the set of choices that are Pareto-efficient, a designer can make tradeoffs within this set, rather than considering the full range of every parameter.&lt;br /&gt;
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帕累托最优的概念已经在工程中得到了应用。给定一组选择和一种评估它们的方法，帕累托边界、帕累托解集或帕累托前沿就是帕累托有效的选择集。通过将注意力限制在帕累托有效的选择集上，设计者可以在这个集合中进行权衡，而不是考虑每个参数的全部范围。&lt;br /&gt;
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[[File:Front pareto.svg|thumb|300px|Example of a Pareto frontier. The boxed points represent feasible choices, and smaller values are preferred to larger ones. Point ''C'' is not on the Pareto frontier because it is dominated by both point ''A'' and point ''B''. Points ''A'' and ''B'' are not strictly dominated by any other, and hence lie on the frontier.]] &lt;br /&gt;
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Example of a Pareto frontier. The boxed points represent feasible choices, and smaller values are preferred to larger ones. Point C is not on the Pareto frontier because it is dominated by both point A and point B. Points A and B are not strictly dominated by any other, and hence lie on the frontier. &lt;br /&gt;
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帕累托边界的例子。集合中的点表示可行的选择，较小的值比较大的值更好。点''C''不在帕累托边界上，因为它同时被点 ''A'' 和点 ''B'' 支配。点''A''和点''B''不受任何其他点严格控制，因此位于边界上。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）图片的格式按照[图1：英文＋译文来]&lt;br /&gt;
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[[File:Pareto Efficient Frontier 1024x1024.png|thumb|256px|A [[production-possibility frontier]]. The red line is an example of a Pareto-efficient frontier, where the frontier and the area left and below it are a continuous set of choices. The red points on the frontier are examples of Pareto-optimal choices of production. Points off the frontier, such as N and K, are not Pareto-efficient, since there exist points on the frontier which Pareto-dominate them.]]&lt;br /&gt;
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A [[production-possibility frontier. The red line is an example of a Pareto-efficient frontier, where the frontier and the area left and below it are a continuous set of choices. The red points on the frontier are examples of Pareto-optimal choices of production. Points off the frontier, such as N and K, are not Pareto-efficient, since there exist points on the frontier which Pareto-dominate them.]]&lt;br /&gt;
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生产可能性边界。红线是帕累托有效边界的一个例子，边界和左下方的区域是一个连续的选择集。边界上的红点是生产的帕累托最优选择的例子。边界外的点，如 ''N'' 和''K''，不是帕累托有效率，因为在边界上存在着受帕累托支配的点&lt;br /&gt;
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=== Pareto frontier  帕累托边界 ===&lt;br /&gt;
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For a given system, the '''Pareto frontier''' or '''Pareto set''' is the set of parameterizations (allocations) that are all Pareto efficient. Finding Pareto frontiers is particularly useful in engineering. By yielding all of the potentially optimal solutions, a designer can make focused [[Trade-off|tradeoffs]] within this constrained set of parameters, rather than needing to consider the full ranges of parameters.&amp;lt;ref&amp;gt;Costa, N. R., &amp;amp; Lourenço, J. A., &amp;quot;Exploring Pareto Frontiers in the Response Surface Methodology&amp;quot;, in G.-C. Yang, S.-I. Ao, &amp;amp; L. Gelman, eds., ''Transactions on Engineering Technologies: World Congress on Engineering 2014'' (Berlin/Heidelberg: Springer, 2015), [https://books.google.com/books?id=eMElCQAAQBAJ&amp;amp;pg=PA398 pp. 399–412].&amp;lt;/ref&amp;gt;{{rp|399–412}}&lt;br /&gt;
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For a given system, the Pareto frontier or Pareto set is the set of parameterizations (allocations) that are all Pareto efficient. Finding Pareto frontiers is particularly useful in engineering. By yielding all of the potentially optimal solutions, a designer can make focused tradeoffs within this constrained set of parameters, rather than needing to consider the full ranges of parameters.&lt;br /&gt;
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对于一个给定的系统，帕累托边界或帕累托集是所有帕累托有效的参数化(分配)的集合。找到帕累托前沿在工程学中特别有用。通过产生所有潜在的最优解决方案，设计师可以在这个受限的参数集中进行集中的权衡，而不需要考虑所有的参数。&lt;br /&gt;
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The Pareto frontier, ''P''(''Y''), may be more formally described as follows. Consider a system with function &amp;lt;math&amp;gt;f: \mathbb{R}^n \rightarrow \mathbb{R}^m&amp;lt;/math&amp;gt;, where ''X'' is a [[compact space|compact set]] of feasible decisions in the [[metric space]] &amp;lt;math&amp;gt;\mathbb{R}^n&amp;lt;/math&amp;gt;, and ''Y'' is the feasible set of criterion vectors in &amp;lt;math&amp;gt;\mathbb{R}^m&amp;lt;/math&amp;gt;, such that &amp;lt;math&amp;gt;Y = \{ y \in \mathbb{R}^m:\; y = f(x), x \in X\;\}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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The Pareto frontier, P(Y), may be more formally described as follows. Consider a system with function &amp;lt;math&amp;gt;f: \mathbb{R}^n \rightarrow \mathbb{R}^m&amp;lt;/math&amp;gt;, where X is a compact set of feasible decisions in the metric space &amp;lt;math&amp;gt;\mathbb{R}^n&amp;lt;/math&amp;gt;, and Y is the feasible set of criterion vectors in &amp;lt;math&amp;gt;\mathbb{R}^m&amp;lt;/math&amp;gt;, such that &amp;lt;math&amp;gt;Y = \{ y \in \mathbb{R}^m:\; y = f(x), x \in X\;\}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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帕累托边界, ''P''(''Y'') ，可以更正式地描述如下。考虑一个包含函数'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的系统，其中''X''是度量空间'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''中可行决策的紧集，''Y''是'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''中标准向量的可行集，使得'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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We assume that the preferred directions of criteria values are known. A point &amp;lt;math&amp;gt;y^{\prime\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt; is preferred to (strictly dominates) another point &amp;lt;math&amp;gt;y^{\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt;, written as &amp;lt;math&amp;gt;y^{\prime\prime} \succ y^{\prime}&amp;lt;/math&amp;gt;. The Pareto frontier is thus written as:&lt;br /&gt;
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We assume that the preferred directions of criteria values are known. A point &amp;lt;math&amp;gt;y^{\prime\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt; is preferred to (strictly dominates) another point &amp;lt;math&amp;gt;y^{\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt;, written as &amp;lt;math&amp;gt;y^{\prime\prime} \succ y^{\prime}&amp;lt;/math&amp;gt;. The Pareto frontier is thus written as:&lt;br /&gt;
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我们假设标准值的最优方向是已知的。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''中的一个点'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''优于中的另一个点'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，写作'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。因此，帕累托边界可以被描述为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;P(Y) = \{ y^\prime \in Y: \; \{y^{\prime\prime} \in Y:\; y^{\prime\prime} \succ y^{\prime}, y^\prime \neq y^{\prime\prime} \; \} = \empty \}. &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;P(Y) = \{ y^\prime \in Y: \; \{y^{\prime\prime} \in Y:\; y^{\prime\prime} \succ y^{\prime}, y^\prime \neq y^{\prime\prime} \; \} = \empty \}. &amp;lt;/math&amp;gt;&lt;br /&gt;
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=== Marginal rate of substitution  边际替代率 ===&lt;br /&gt;
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A significant aspect of the Pareto frontier in economics is that, at a Pareto-efficient allocation, the [[marginal rate of substitution]] is the same for all consumers.  A formal statement can be derived by considering a system with ''m'' consumers and ''n'' goods, and a utility function of each consumer as &amp;lt;math&amp;gt;z_i=f^i(x^i)&amp;lt;/math&amp;gt; where &amp;lt;math&amp;gt;x^i=(x_1^i, x_2^i, \ldots, x_n^i)&amp;lt;/math&amp;gt; is the vector of goods, both for all ''i''. The feasibility constraint is &amp;lt;math&amp;gt;\sum_{i=1}^m x_j^i = b_j&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt;. To find the Pareto optimal allocation, we maximize the [[Lagrangian mechanics|Lagrangian]]:&lt;br /&gt;
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A significant aspect of the Pareto frontier in economics is that, at a Pareto-efficient allocation, the marginal rate of substitution is the same for all consumers.  A formal statement can be derived by considering a system with m consumers and n goods, and a utility function of each consumer as &amp;lt;math&amp;gt;z_i=f^i(x^i)&amp;lt;/math&amp;gt; where &amp;lt;math&amp;gt;x^i=(x_1^i, x_2^i, \ldots, x_n^i)&amp;lt;/math&amp;gt; is the vector of goods, both for all i. The feasibility constraint is &amp;lt;math&amp;gt;\sum_{i=1}^m x_j^i = b_j&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt;. To find the Pareto optimal allocation, we maximize the Lagrangian:&lt;br /&gt;
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经济学中，帕累托边界的一个重要方面是在帕累托有效分配中，所有消费者的边际替代率是相同的。一个正式的陈述可以通过考虑一个有''m''个消费者和''n''个商品的系统，以及每个消费者的效用函数'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''来推导出。在这个效用方程中，对所有的''i''，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''是商品的矢量。可行性约束为'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。为了找到帕累托最优分配，我们最大化拉格朗日函数:&lt;br /&gt;
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: &amp;lt;math&amp;gt;L_i((x_j^k)_{k,j}, (\lambda_k)_k, (\mu_j)_j)=f^i(x^i)+\sum_{k=2}^m \lambda_k(z_k- f^k(x^k))+\sum_{j=1}^n \mu_j \left( b_j-\sum_{k=1}^m x_j^k \right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;L_i((x_j^k)_{k,j}, (\lambda_k)_k, (\mu_j)_j)=f^i(x^i)+\sum_{k=2}^m \lambda_k(z_k- f^k(x^k))+\sum_{j=1}^n \mu_j \left( b_j-\sum_{k=1}^m x_j^k \right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;(\lambda_k)_k&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;(\mu_j)_j&amp;lt;/math&amp;gt; are the vectors of multipliers. Taking the partial derivative of the Lagrangian with respect to each good &amp;lt;math&amp;gt;x_j^k&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;k=1,\ldots, m&amp;lt;/math&amp;gt; and gives the following system of first-order conditions:&lt;br /&gt;
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where &amp;lt;math&amp;gt;(\lambda_k)_k&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;(\mu_j)_j&amp;lt;/math&amp;gt; are the vectors of multipliers. Taking the partial derivative of the Lagrangian with respect to each good &amp;lt;math&amp;gt;x_j^k&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;k=1,\ldots, m&amp;lt;/math&amp;gt; and gives the following system of first-order conditions:&lt;br /&gt;
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其中'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''是乘子的向量。采用关于商品的拉格朗日函数的偏导数，其中，并给出以下一阶条件系统:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^i} = f_{x^i_j}^1-\mu_j=0\text{ for }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^i} = f_{x^i_j}^1-\mu_j=0\text{ for }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
1，ldots，n，math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^k} = -\lambda_k f_{x^k_j}^i-\mu_j=0 \text{ for }k= 2,\ldots,m \text{ and }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^k} = -\lambda_k f_{x^k_j}^i-\mu_j=0 \text{ for }k= 2,\ldots,m \text{ and }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2，ldots，m  text { and }1，ldots，n，/ math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;f_{x^i_j}&amp;lt;/math&amp;gt; denotes the partial derivative of &amp;lt;math&amp;gt;f&amp;lt;/math&amp;gt; with respect to &amp;lt;math&amp;gt;x_j^i&amp;lt;/math&amp;gt;. Now, fix any &amp;lt;math&amp;gt;k\neq i&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;j,s\in \{1,\ldots,n\}&amp;lt;/math&amp;gt;. The above first-order condition imply that&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;f_{x^i_j}&amp;lt;/math&amp;gt; denotes the partial derivative of &amp;lt;math&amp;gt;f&amp;lt;/math&amp;gt; with respect to &amp;lt;math&amp;gt;x_j^i&amp;lt;/math&amp;gt;. Now, fix any &amp;lt;math&amp;gt;k\neq i&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;j,s\in \{1,\ldots,n\}&amp;lt;/math&amp;gt;. The above first-order condition imply that&lt;br /&gt;
&lt;br /&gt;
其中'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''表示'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的偏导数。现给定'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。上述一阶条件意味着&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\frac{f_{x_j^i}^i}{f_{x_s^i}^i}=\frac{\mu_j}{\mu_s}=\frac{f_{x_j^k}^k}{f_{x_s^k}^k}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{f_{x_j^i}^i}{f_{x_s^i}^i}=\frac{\mu_j}{\mu_s}=\frac{f_{x_j^k}^k}{f_{x_s^k}^k}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Math  frac { x ^ i } i }{ x s ^ i }} frac { mu s } f { x ^ k } ^ k } . / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Thus, in a Pareto-optimal allocation, the marginal rate of substitution must be the same for all consumers.&amp;lt;ref&amp;gt;Wilkerson, T., ''Advanced Economic Theory'' ([[Waltham Abbey]]: Edtech Press, 2018), [https://books.google.com/books?id=UtW_DwAAQBAJ&amp;amp;pg=PA114 p. 114].&amp;lt;/ref&amp;gt;{{rp|114}}&lt;br /&gt;
&lt;br /&gt;
Thus, in a Pareto-optimal allocation, the marginal rate of substitution must be the same for all consumers.&lt;br /&gt;
&lt;br /&gt;
因此，在帕累托最优分配中，所有消费者的边际替代率必须相同。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Computation  计算===&lt;br /&gt;
&lt;br /&gt;
[[Algorithm]]s for computing the Pareto frontier of a finite set of alternatives have been studied in [[computer science]] and power engineering.&amp;lt;ref&amp;gt;{{cite journal |doi=10.3390/en6031439 |last1=Tomoiagă |first1=Bogdan |last2=Chindriş |first2=Mircea |last3=Sumper |first3=Andreas |last4=Sudria-Andreu |first4=Antoni |last5=Villafafila-Robles |first5=Roberto |title=Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II |journal=Energies |year=2013 |volume=6 |issue=3 |pages=1439–55 |doi-access=free }}&amp;lt;/ref&amp;gt; They include:&lt;br /&gt;
&lt;br /&gt;
Algorithms for computing the Pareto frontier of a finite set of alternatives have been studied in computer science and power engineering. They include:&lt;br /&gt;
&lt;br /&gt;
计算机科学和动力工程给出了计算有限个方案集的帕累托边界的算法。它们包括:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;quot;The maximum vector problem&amp;quot; or the [[Skyline operator|skyline query]].&amp;lt;ref&amp;gt;{{cite journal |doi=10.1016/0020-0190(96)00116-0 |last1=Nielsen |first1=Frank |title=Output-sensitive peeling of convex and maximal layers |journal=Information Processing Letters |volume=59 |pages=255–9 |year=1996 |issue=5 |citeseerx=10.1.1.259.1042 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal |doi=10.1145/321906.321910 |last1=Kung |first1=H. T. |last2=Luccio |first2=F. |last3=Preparata |first3=F.P. |title=On finding the maxima of a set of vectors |journal=Journal of the ACM |volume=22 |pages=469–76 |year=1975 |issue=4 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal |doi=10.1007/s00778-006-0029-7 |last1=Godfrey |first1=P. |last2=Shipley |first2=R. |last3=Gryz |first3=J. |journal=VLDB Journal |volume=16 |pages=5–28 |year=2006 |title=Algorithms and Analyses for Maximal Vector Computation |citeseerx=10.1.1.73.6344 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
* “最大向量问题”，或称轮廓查询。&lt;br /&gt;
&lt;br /&gt;
* &amp;quot;The scalarization algorithm&amp;quot; or the method of weighted sums.&amp;lt;ref name=&amp;quot;Kimde Weck2005&amp;quot;&amp;gt;{{cite journal|last1=Kim|first1=I. Y.|last2=de Weck|first2=O. L.|title=Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation|journal=Structural and Multidisciplinary Optimization|volume=31|issue=2|year=2005|pages=105–116|issn=1615-147X|doi=10.1007/s00158-005-0557-6}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;MarlerArora2009&amp;quot;&amp;gt;{{cite journal|last1=Marler|first1=R. Timothy|last2=Arora|first2=Jasbir S.|title=The weighted sum method for multi-objective optimization: new insights|journal=Structural and Multidisciplinary Optimization|volume=41|issue=6|year=2009|pages=853–862|issn=1615-147X|doi=10.1007/s00158-009-0460-7}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
* “标量化算法”，或称加权求和法。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;quot;The &amp;lt;math&amp;gt;\epsilon&amp;lt;/math&amp;gt;-constraints method&amp;quot;.&amp;lt;ref&amp;gt;{{cite journal|title=On a Bicriterion Formulation of the Problems of Integrated System Identification and System Optimization|journal=IEEE Transactions on Systems, Man, and Cybernetics|volume=SMC-1|issue=3|year=1971|pages=296–297|issn=0018-9472|doi=10.1109/TSMC.1971.4308298}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Mavrotas2009&amp;quot;&amp;gt;{{cite journal|last1=Mavrotas|first1=George|title=Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems|journal=Applied Mathematics and Computation|volume=213|issue=2|year=2009|pages=455–465|issn=00963003|doi=10.1016/j.amc.2009.03.037}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
* “ϵ-约束法”。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Use in biology  在生物学中的应用==&lt;br /&gt;
&lt;br /&gt;
Pareto optimisation has also been studied in biological processes.&amp;lt;ref&amp;gt;Moore, J. H., Hill, D. P., Sulovari, A., &amp;amp; Kidd, L. C., &amp;quot;Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing&amp;quot;, in R. Riolo, E. Vladislavleva, M. D. Ritchie, &amp;amp; J. H. Moore, eds., ''Genetic Programming Theory and Practice X'' (Berlin/Heidelberg: Springer, 2013), [https://books.google.co.il/books?id=YZZAAAAAQBAJ&amp;amp;pg=PA86 pp. 87–102].&amp;lt;/ref&amp;gt;{{rp|87–102}} In bacteria, genes were shown to be either inexpensive to make (resource efficient) or easier to read (translation efficient). Natural selection acts to push highly expressed genes towards the Pareto frontier for resource use and translational efficiency. Genes near the Pareto frontier were also shown to evolve more slowly (indicating that they are providing a selective advantage).&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1186/s13059-018-1480-7|pmid=30064467|last1=Seward|first1=Emily A. |last2=Kelly|first2=Steven|title=Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria.|journal=Genome Biology|volume=19|issue=1|pages=102|year=2018|pmc=6066932}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Pareto optimisation has also been studied in biological processes. In bacteria, genes were shown to be either inexpensive to make (resource efficient) or easier to read (translation efficient). Natural selection acts to push highly expressed genes towards the Pareto frontier for resource use and translational efficiency. Genes near the Pareto frontier were also shown to evolve more slowly (indicating that they are providing a selective advantage).&lt;br /&gt;
&lt;br /&gt;
帕累托最优化在生物过程中也有研究。在细菌中，基因要么生成成本低廉(资源节约型) ，要么更容易被读取(翻译效率型)。自然选择将高表达的基因推向资源利用和翻译效率的帕累托边界。帕累托边界附近基因的进化速度也较慢(这表明它们提供了一种选择优势)。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Criticism  批判 ==&lt;br /&gt;
&lt;br /&gt;
It would be incorrect to treat Pareto efficiency as equivalent to societal optimization,&amp;lt;ref&amp;gt;[[Jacques Drèze|Drèze, J.]], ''Essays on Economic Decisions Under Uncertainty'' ([[Cambridge]]: [[Cambridge University Press]], 1987), [https://books.google.com/books?id=LWE4AAAAIAAJ&amp;amp;pg=PA358 pp. 358–364]&amp;lt;/ref&amp;gt;{{rp|358–364}} as the latter is a [[normative]] concept that is a matter of interpretation that typically would account for the consequence of degrees of inequality of distribution.&amp;lt;ref&amp;gt;Backhaus, J. G., ''The Elgar Companion to Law and Economics'' ([[Cheltenham|Cheltenham, UK]] / [[Northampton, MA]]: [[Edward Elgar Publishing|Edward Elgar]], 2005), [https://books.google.com/books?id=EtguKoWHUHYC&amp;amp;lpg=PP1&amp;amp;hl=de&amp;amp;pg=PA10 pp. 10–15].&amp;lt;/ref&amp;gt;{{rp|10–15}} An example would be the interpretation of one school district with low property tax revenue versus another with much higher revenue as a sign that more equal distribution occurs with the help of government redistribution.&amp;lt;ref&amp;gt;Paulsen, M. B., &amp;quot;The Economics of the Public Sector: The Nature and Role of Public Policy in the Finance of Higher Education&amp;quot;, in M. B. Paulsen, J. C. Smart, eds. ''The Finance of Higher Education: Theory, Research, Policy, and Practice'' (New York: Agathon Press, 2001), [https://books.google.com/books?id=BlkPAy-gb8sC&amp;amp;pg=PA95 pp. 95–132].&amp;lt;/ref&amp;gt;{{rp|95–132}}&lt;br /&gt;
&lt;br /&gt;
It would be incorrect to treat Pareto efficiency as equivalent to societal optimization, as the latter is a normative concept that is a matter of interpretation that typically would account for the consequence of degrees of inequality of distribution. An example would be the interpretation of one school district with low property tax revenue versus another with much higher revenue as a sign that more equal distribution occurs with the help of government redistribution.&lt;br /&gt;
&lt;br /&gt;
把帕累托最优等同于社会优化是不正确的，因为后者是一个规范性概念，是一个典型的解释问题，可以解释分配不平等程度的后果。一个例子就是对一个财产税收入较低的学区和另一个财政收入较高的学区的解释，这表明在政府再分配的帮助下实现了更加平等的分配。&lt;br /&gt;
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&lt;br /&gt;
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Pareto efficiency does not require a totally equitable distribution of wealth.&amp;lt;ref&amp;gt;Bhushi, K., ed., ''Farm to Fingers: The Culture and Politics of Food in Contemporary India'' (Cambridge: Cambridge University Press, 2018), [https://books.google.com/books?id=NYJIDwAAQBAJ&amp;amp;pg=PA222 p. 222].&amp;lt;/ref&amp;gt;{{rp|222}} An economy in which a wealthy few hold the [[Wealth condensation|vast majority of resources]] can be Pareto efficient. This possibility is inherent in the definition of Pareto efficiency; often the [[status quo]] is Pareto efficient regardless of the degree to which wealth is equitably distributed. A simple example is the distribution of a pie among three people. The most equitable distribution would assign one third to each person. However the assignment of, say, a half section to each of two individuals and none to the third is also Pareto optimal despite not being equitable, because none of the recipients could be made better off without decreasing someone else's share; and there are many other such distribution examples. An example of a Pareto inefficient distribution of the pie would be allocation of a quarter of the pie to each of the three, with the remainder discarded.&amp;lt;ref&amp;gt;Wittman, D., ''Economic Foundations of Law and Organization'' (Cambridge: Cambridge University Press, 2006), [https://books.google.com/books?id=fOolQOtKM7QC&amp;amp;pg=PA18 p. 18].&amp;lt;/ref&amp;gt;{{rp|18}} The origin (and utility value) of the pie is conceived as immaterial in these examples. In such cases, whereby a &amp;quot;windfall&amp;quot; is gained that none of the potential distributees actually produced (e.g., land, inherited wealth, a portion of the broadcast spectrum, or some other resource), the criterion of Pareto efficiency does not determine a unique optimal allocation. Wealth consolidation may exclude others from wealth accumulation because of bars to market entry, etc.&lt;br /&gt;
&lt;br /&gt;
Pareto efficiency does not require a totally equitable distribution of wealth. An economy in which a wealthy few hold the vast majority of resources can be Pareto efficient. This possibility is inherent in the definition of Pareto efficiency; often the status quo is Pareto efficient regardless of the degree to which wealth is equitably distributed. A simple example is the distribution of a pie among three people. The most equitable distribution would assign one third to each person. However the assignment of, say, a half section to each of two individuals and none to the third is also Pareto optimal despite not being equitable, because none of the recipients could be made better off without decreasing someone else's share; and there are many other such distribution examples. An example of a Pareto inefficient distribution of the pie would be allocation of a quarter of the pie to each of the three, with the remainder discarded. The origin (and utility value) of the pie is conceived as immaterial in these examples. In such cases, whereby a &amp;quot;windfall&amp;quot; is gained that none of the potential distributees actually produced (e.g., land, inherited wealth, a portion of the broadcast spectrum, or some other resource), the criterion of Pareto efficiency does not determine a unique optimal allocation. Wealth consolidation may exclude others from wealth accumulation because of bars to market entry, etc.&lt;br /&gt;
&lt;br /&gt;
帕累托最优并不需要完全公平的财富分配。一个少数富人拥有绝大多数资源的经济体系可以是帕累托有效的。这种可能性是帕累托最优的固有定义; 通常情况下，无论财富的公平分配程度如何，现状都是帕累托有效的。一个简单的例子是在三个人之间分配馅饼。最公平的分配将分配给每个人三分之一。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:粲兰|袁一博]]（[[用户讨论:粲兰|讨论]]）  &lt;br /&gt;
&lt;br /&gt;
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另一种分配是两个人各占半部分，第三个人不占分毫。然而，尽管这种分配并不公平，它也是帕累托最优的，因为没有一个受者能够在不减少其他人的份额的情况下得到更优的收益; 还有其他许多这样的分配例子。帕累托无效率的馅饼分配的一个例子是三者中的每一个分得馅饼的四分之一，剩下的部分丢弃。在这些示例中，馅饼的缘由(和实用价值)被认为是无关紧要的。在这种情况下，由于潜在的分配者都没有实际生产，却获得了“意外之财”(例如，土地、继承的财产、广播频谱的一部分或其他资源) ，帕累托最优的标准并不能决定唯一的一个最优分配。由于市场准入门槛等原因，财产整合可能会将他者排除在财产积累之外。&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
The [[liberal paradox]] elaborated by [[Amartya Sen]] shows that when people have preferences about what other people do, the goal of Pareto efficiency can come into conflict with the goal of individual liberty.&amp;lt;ref&amp;gt;Sen, A., ''Rationality and Freedom'' ([[Cambridge, Massachusetts|Cambridge, MA]] / London: [[Harvard University Press|Belknep Press]], 2004), [https://books.google.cz/books?id=DaOY4DQ-MKAC&amp;amp;pg=PA92 pp. 92–94].&amp;lt;/ref&amp;gt;{{rp|92–94}}&lt;br /&gt;
&lt;br /&gt;
The liberal paradox elaborated by Amartya Sen shows that when people have preferences about what other people do, the goal of Pareto efficiency can come into conflict with the goal of individual liberty.&lt;br /&gt;
&lt;br /&gt;
阿马蒂亚·森(Amartya Sen)阐述的自由主义悖论表明，当人们对他人的行为有偏好时，帕累托最优的目标可能与个人自由的目标发生冲突。&lt;br /&gt;
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==See also  请参阅 ==&lt;br /&gt;
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* [[Admissible decision rule]], analog in [[decision theory]]  可容许决策规则，决策理论中的类比&lt;br /&gt;
&lt;br /&gt;
* [[Arrow's impossibility theorem]]  阿罗不可能定理&lt;br /&gt;
&lt;br /&gt;
* [[Bayesian efficiency]]  贝叶斯效率&lt;br /&gt;
&lt;br /&gt;
* [[Fundamental theorems of welfare economics]]  福利经济学基本定理&lt;br /&gt;
&lt;br /&gt;
* [[Deadweight loss]]  无谓损失&lt;br /&gt;
&lt;br /&gt;
* [[Economic efficiency]]  经济效益&lt;br /&gt;
&lt;br /&gt;
* [[Highest and best use]]  最佳使用&lt;br /&gt;
&lt;br /&gt;
* [[Kaldor–Hicks efficiency]]  卡尔多-希克斯效率&lt;br /&gt;
&lt;br /&gt;
* [[Market failure]], when a market result is not Pareto optimal  市场失灵，即市场结果非帕累托最优的时刻&lt;br /&gt;
&lt;br /&gt;
* [[Maximal element]], concept in [[order theory]]  极大元，阶理论中的概念&lt;br /&gt;
&lt;br /&gt;
* [[Maxima of a point set]]  点集极大值&lt;br /&gt;
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* [[Multi-objective optimization]]  多目标优化&lt;br /&gt;
&lt;br /&gt;
* [[Pareto-efficient envy-free division]]  帕累托有效的无嫉妒分割&lt;br /&gt;
&lt;br /&gt;
* ''[[Social Choice and Individual Values]]'' for the '(weak) Pareto principle'  关于弱帕累托原则的社会选择与个人价值&lt;br /&gt;
&lt;br /&gt;
* [[Trade-off talking rational economic person|TOTREP]]  讲究权衡的理性经济人&lt;br /&gt;
&lt;br /&gt;
* [[Welfare economics]]  福利经济&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）需附上编者推荐&lt;br /&gt;
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==References  参考文献==&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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== Further reading  延伸阅读 ==&lt;br /&gt;
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* {{Cite Fudenberg Tirole 1991|pages=[https://books.google.com/books?id=pFPHKwXro3QC&amp;amp;pg=PA18 18–23]}}&lt;br /&gt;
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* {{Cite journal |last1=Bendor | first1=Jonathan |last2= Mookherjee | first2=Dilip | title = Communitarian versus Universalistic norms | journal = [[Quarterly Journal of Political Science]] | volume = 3 | issue = 1 | pages = 33–61 | doi = 10.1561/100.00007028 | date = April 2008 | ref = harv }}&lt;br /&gt;
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* {{Cite journal | last = Kanbur | first = Ravi| author-link = Ravi Kanbur | title = Pareto's revenge | journal = Journal of Social and Economic Development | volume = 7 | issue = 1 | pages = 1–11 | date = January–June 2005 | url = http://www.arts.cornell.edu/poverty/kanbur/ParRev.pdf | ref = harv }}&lt;br /&gt;
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* {{cite book | last = Ng | first = Yew-Kwang | author-link = Yew-Kwang Ng | title = Welfare economics towards a more complete analysis | url=https://books.google.com/books?id=o-2GDAAAQBAJ&amp;amp;printsec=frontcover| publisher = Palgrave Macmillan | location = Basingstoke, Hampshire New York | year = 2004 | isbn = 9780333971215 }}&lt;br /&gt;
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* {{Citation | author-first1=Ariel | author-last1=Rubinstein | author-first2=Martin J. | author-last2=Osborne | author-link1 = Ariel Rubinstein | contribution = Introduction | editor-first1=Ariel | editor-last1=Rubinstein | editor-first2=Martin J. | editor-last2=Osborne | editor-link1 = Ariel Rubinstein | title = A course in game theory | pages = 6–7 | publisher = MIT Press | location = Cambridge, Massachusetts | year = 1994 | isbn = 9780262650403 }} [https://books.google.com/books?id=5ntdaYX4LPkC&amp;amp;pg=PA6 Book preview.]&lt;br /&gt;
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* {{Cite journal | last = Mathur | first = Vijay K. | title = How well do we know Pareto optimality? | journal = The Journal of Economic Education | volume = 22 | issue = 2 | pages = 172–178 | doi = 10.2307/1182422 | date = Spring 1991 | ref = harv | jstor = 1182422 }}&lt;br /&gt;
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* {{Cite journal | last1 = Newbery | first1 = David M.G. | last2 = Stiglitz | first2 = Joseph E. | author-link1 = David Newbery | author-link2 = Joseph Stiglitz | title = Pareto inferior trade | journal = Review of Economic Studies | volume = 51 | issue = 1 | pages = 1–12 | doi = 10.2307/2297701 | date = January 1984 | ref = harv | jstor = 2297701 }}&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Pareto efficiency]]. Its edit history can be viewed at [[帕累托最优/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%BA%A7%E8%81%94%E5%A4%B1%E6%95%88&amp;diff=14730</id>
		<title>级联失效</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%BA%A7%E8%81%94%E5%A4%B1%E6%95%88&amp;diff=14730"/>
		<updated>2020-10-04T06:59:18Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;本词条由11初步翻译&lt;br /&gt;
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{{short description|System of interconnected parts in which the failure of one or few parts can trigger the failure of others}}&lt;br /&gt;
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[[Image:Networkfailure.gif|thumb|right|An animation demonstrating how a single failure may result in other failures throughout a network.]]&lt;br /&gt;
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[[Image:Networkfailure.gif|thumb|right|演示单个故障如何导致整个网络中其他故障的动画]]&lt;br /&gt;
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An animation demonstrating how a single failure may result in other failures throughout a network.&lt;br /&gt;
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演示单个故障如何导致整个网络中其他故障的动画。&lt;br /&gt;
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A cascading failure is a process in a system of [[interconnection|interconnected]] parts in which the failure of one or few parts can trigger the failure of other parts and so on. Such a failure may happen in many types of systems, including power transmission, computer networking, finance, transportation systems, organisms, the human body, and ecosystems.&lt;br /&gt;
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A cascading failure is a process in a system of interconnected parts in which the failure of one or few parts can trigger the failure of other parts and so on. Such a failure may happen in many types of systems, including power transmission, computer networking, finance, transportation systems, organisms, the human body, and ecosystems.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 级联故障 Cascading Failure&amp;lt;/font&amp;gt;'''是一个相互连接的部件系统中的一个或几个部件的故障可以引发其他部件的故障等过程。这种故障可能发生在许多类型的系统中，包括电力输送、计算机网络、金融、交通系统、微生物、人体和生态系统。&lt;br /&gt;
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Cascading failures may occur when one part of the system fails. When this happens, other parts must then compensate for the failed component. This in turn overloads these nodes, causing them to fail as well, prompting additional nodes to fail one after another.&lt;br /&gt;
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Cascading failures may occur when one part of the system fails. When this happens, other parts must then compensate for the failed component. This in turn overloads these nodes, causing them to fail as well, prompting additional nodes to fail one after another.&lt;br /&gt;
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当系统的一部分发生故障时，可能会发生级联故障。当这种情况发生时，其他部分必须对发生故障的部分进行补偿，这反过来又使这些节点超载，导致它们也发生故障，促使更多的节点相继发生故障。&lt;br /&gt;
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== In power transmission ==&lt;br /&gt;
在电力输送中&lt;br /&gt;
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Cascading failure is common in [[power grid]]s when one of the elements fails (completely or partially) and shifts its load to nearby elements in the system.  Those nearby elements are then pushed beyond their capacity so they become overloaded and shift their load onto other elements.  Cascading failure is a common effect seen in [[high voltage]] systems, where a [[single point of failure]] (SPF) on a fully loaded or slightly overloaded system results in a sudden spike across all nodes of the system. This surge current can induce the already overloaded nodes into failure, setting off more overloads and thereby taking down the entire system in a very short time.&lt;br /&gt;
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Cascading failure is common in power grids when one of the elements fails (completely or partially) and shifts its load to nearby elements in the system.  Those nearby elements are then pushed beyond their capacity so they become overloaded and shift their load onto other elements.  Cascading failure is a common effect seen in high voltage systems, where a single point of failure (SPF) on a fully loaded or slightly overloaded system results in a sudden spike across all nodes of the system. This surge current can induce the already overloaded nodes into failure, setting off more overloads and thereby taking down the entire system in a very short time.&lt;br /&gt;
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级联故障在电网中很常见，当其中一个元件(完全或部分)发生故障并将其负荷转移到系统中附近的元件时，就会推动那些附近的元件超出其容量，从而过载，并将其负荷转移到其他元件上。级联故障在高压系统中也很常见，在一个满载或轻度过载的系统中，一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 单点故障 Single Point of Failure (SPF)&amp;lt;/font&amp;gt;'''会导致系统所有节点突然出现尖峰。这种'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 浪涌电流 &lt;br /&gt;
 Surge Current&amp;lt;/font&amp;gt;'''可能会导致已经超载的节点发生故障，引发更多过载，从而在很短的时间内使整个系统瘫痪。&lt;br /&gt;
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This failure process cascades through the elements of the system like a ripple on a pond and continues until substantially all of the elements in the system are compromised and/or the system becomes functionally disconnected from the source of its load. For example, under certain conditions a large power grid can collapse after the failure of a single transformer.&lt;br /&gt;
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This failure process cascades through the elements of the system like a ripple on a pond and continues until substantially all of the elements in the system are compromised and/or the system becomes functionally disconnected from the source of its load. For example, under certain conditions a large power grid can collapse after the failure of a single transformer.&lt;br /&gt;
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这个故障过程就像池塘上的涟漪一样，在系统的各个元件中层层叠加，直到系统中的所有元件都受到损害和/或系统在功能上与负载源断开。例如，在某些情况下，一个大型电网可能因为单个变压器的故障而崩溃。&lt;br /&gt;
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Monitoring the operation of a system, in [[real-time computing|real-time]], and judicious disconnection of parts can help stop a cascade.  Another common technique is to calculate a safety margin for the system by computer simulation of possible failures, to establish safe operating levels below which none of the calculated scenarios is predicted to cause cascading failure, and to identify the parts of the network which are most likely to cause cascading failures.&amp;lt;ref name=&amp;quot;chao&amp;quot;&amp;gt;{{cite arXiv |last1=Zhai |first1=Chao |title=Modeling and Identification of Worst-Case Cascading Failures in Power Systems |eprint=1703.05232 |class=cs.SY |year=2017}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Monitoring the operation of a system, in real-time, and judicious disconnection of parts can help stop a cascade.  Another common technique is to calculate a safety margin for the system by computer simulation of possible failures, to establish safe operating levels below which none of the calculated scenarios is predicted to cause cascading failure, and to identify the parts of the network which are most likely to cause cascading failures.&lt;br /&gt;
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实时监测系统的运行情况，并明智地断开部件的连接，有助于阻止级联。 另一种常见的技术是通过计算机模拟可能发生的故障来计算系统的安全边际，确定安全运行水平，在此水平之下，预计计算出的任何一种情况都不会引起级联故障，并确定网络中最有可能引起级联故障的部分。&lt;br /&gt;
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One of the primary problems with preventing electrical grid failures is that the speed of the control signal is no faster than the speed of the propagating power overload, i.e. since both the control signal and the electrical power are moving at the same speed, it is not possible to isolate the outage by sending a warning ahead to isolate the element.&lt;br /&gt;
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One of the primary problems with preventing electrical grid failures is that the speed of the control signal is no faster than the speed of the propagating power overload, i.e. since both the control signal and the electrical power are moving at the same speed, it is not possible to isolate the outage by sending a warning ahead to isolate the element.&lt;br /&gt;
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防止电网故障的主要问题之一是，控制信号的速度不快于传播功率过载的速度，即由于控制信号和电力都以同样的速度运动，所以无法通过提前发出警告来隔离元件从而隔离停电。&lt;br /&gt;
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The question if power grid  failures are correlated have been studied in Daqing Li et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Daqing|first=Li|last2=Yinan|first2=Jiang|last3=Rui|first3=Kang|last4=Havlin|first4=Shlomo|date=2014-06-20|title=Spatial correlation analysis of cascading failures: Congestions and Blackouts|journal=Scientific Reports|language=En|volume=4|issue=1|pages=5381|doi=10.1038/srep05381|pmid=24946927|pmc=4064325|issn=2045-2322|bibcode=2014NatSR...4E5381D}}&amp;lt;/ref&amp;gt; as well as by Paul DH Hines et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Hines|first=Paul D. H.|last2=Dobson|first2=Ian|last3=Rezaei|first3=Pooya|date=2016|title=Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology|arxiv=1508.01775|journal=IEEE Transactions on Power Systems|pages=1|doi=10.1109/TPWRS.2016.2578259|issn=0885-8950}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The question if power grid  failures are correlated have been studied in Daqing Li et al. as well as by Paul DH Hines et al.&lt;br /&gt;
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电网故障是否具有相关性的问题，李大庆等人以及Paul DH Hines等人都有研究。&lt;br /&gt;
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=== Examples ===&lt;br /&gt;
案例&lt;br /&gt;
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Cascading failure caused the following [[power outage]]s:&lt;br /&gt;
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Cascading failure caused the following power outages:&lt;br /&gt;
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级联故障曾导致以下停电:&lt;br /&gt;
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* [[Northeast blackout of 1965|Blackout in Northeast America in 1965]]&lt;br /&gt;
* [[1965年东北大停电|1965年美国东北大停电]]&lt;br /&gt;
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* [[1999 Southern Brazil blackout|Blackout in Southern Brazil in 1999]]&lt;br /&gt;
* [[1999年巴西南部停电|1999年巴西南部停电]]&lt;br /&gt;
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* [[Northeast blackout of 2003|Blackout in Northeast America in 2003]]&lt;br /&gt;
* [[2003年东北大停电|2003年美国东北大停电]]&lt;br /&gt;
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* [[2003 Italy blackout|Blackout in Italy in 2003]]&lt;br /&gt;
* [[2003年意大利停电|2003年意大利停电]]&lt;br /&gt;
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* [[2003 London blackout|Blackout in London in 2003]]&lt;br /&gt;
* [[2003年伦敦大停电|2003年伦敦大停电]]&lt;br /&gt;
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* [[2006 European blackout|European Blackout in 2006]]&lt;br /&gt;
* [[2006年欧洲停电|2006年欧洲停电]]&lt;br /&gt;
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* [[2012 northern India power grid failure|Blackout in Northern India in 2012]]&lt;br /&gt;
* [[2012年印度北部电网故障|2012年印度北部停电]]&lt;br /&gt;
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* [[2016 South Australian blackout|Blackout in South Australia in 2016]]&lt;br /&gt;
* [[2016年南澳停电|2016年南澳停电]]&lt;br /&gt;
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* [[2019 Argentina, Paraguay and Uruguay blackout|Blackout in southeast South America in 2019]]&lt;br /&gt;
* [[2019年阿根廷、巴拉圭和乌拉圭停电|2019年南美洲东南部停电]]&lt;br /&gt;
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== In computer networks ==&lt;br /&gt;
在计算机网络中&lt;br /&gt;
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Cascading failures can also occur in [[computer network]]s (such as the [[Internet]]) in which [[Network traffic control|network traffic]] is severely impaired or halted to or between larger sections of the network, caused by failing or disconnected hardware or software. In this context, the cascading failure is known by the term '''cascade failure'''. A cascade failure can affect large groups of people and systems.&lt;br /&gt;
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Cascading failures can also occur in computer networks (such as the Internet) in which network traffic is severely impaired or halted to or between larger sections of the network, caused by failing or disconnected hardware or software. In this context, the cascading failure is known by the term cascade failure. A cascade failure can affect large groups of people and systems.&lt;br /&gt;
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级联故障也可能发生在计算机网络(如因特网)中，由于硬件或软件的故障或断开，导致网络中较大部分的网络通信严重受损或停止。在这种情况下，级联故障被称为术语级联故障。级联故障会影响到大批人员和系统。&lt;br /&gt;
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The cause of a cascade failure is usually the overloading of a single, crucial [[Router (computing)|router]] or node, which causes the node to go down, even briefly. It can also be caused by taking a node down for maintenance or upgrades. In either case, traffic is [[routing|routed]] to or through another (alternative) path. This alternative path, as a result, becomes overloaded, causing it to go down, and so on. It will also affect systems which depend on the node for regular operation.&lt;br /&gt;
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The cause of a cascade failure is usually the overloading of a single, crucial router or node, which causes the node to go down, even briefly. It can also be caused by taking a node down for maintenance or upgrades. In either case, traffic is routed to or through another (alternative) path. This alternative path, as a result, becomes overloaded, causing it to go down, and so on. It will also affect systems which depend on the node for regular operation.&lt;br /&gt;
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级联故障的原因通常是一个单个关键的路由器或节点的超载，导致节点宕机或短暂地宕机。它也可能是由于为了维护或升级而关闭一个节点引起的。在这两种情况下，流量都被路由到或通过另一条(替代)路径。结果，这条替代路径变得过载，导致它宕机，等等。它还会影响依赖该节点正常运行的系统。&lt;br /&gt;
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=== Symptoms ===&lt;br /&gt;
症状&lt;br /&gt;
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The symptoms of a cascade failure include: [[packet loss]] and high network [[lag|latency]], not just to single systems, but to whole sections of a network or the internet. The high latency and packet loss is caused by the nodes that fail to operate due to [[congestion collapse]], which causes them to still be present in the network but without much or any useful communication going through them. As a result, routes can still be considered valid, without them actually providing communication.&lt;br /&gt;
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The symptoms of a cascade failure include: packet loss and high network latency, not just to single systems, but to whole sections of a network or the internet. The high latency and packet loss is caused by the nodes that fail to operate due to congestion collapse, which causes them to still be present in the network but without much or any useful communication going through them. As a result, routes can still be considered valid, without them actually providing communication.&lt;br /&gt;
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级联故障的症状包括: 数据包丢失和高网络延迟，不仅仅是对单个系统，而是对整个网络或互联网部分。高延迟和数据包丢失是由于网络拥塞崩溃导致节点无法正常运行，这使得它们仍然存在于网络中，但是没有太多或任何有用的通信通过它们。因此，路由仍然可被认为是有效的，而实际上它们并没有提供通信。&lt;br /&gt;
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If enough routes go down because of a cascade failure, a complete section of the network or internet can become unreachable. Although undesired, this can help speed up the recovery from this failure as connections will time out, and other nodes will give up trying to establish connections to the section(s) that have become cut off, decreasing load on the involved nodes.&lt;br /&gt;
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If enough routes go down because of a cascade failure, a complete section of the network or internet can become unreachable. Although undesired, this can help speed up the recovery from this failure as connections will time out, and other nodes will give up trying to establish connections to the section(s) that have become cut off, decreasing load on the involved nodes.&lt;br /&gt;
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如果有足够多的路由因为级联故障而中断，网络或互联网的一个完整部分就会无法访问。尽管我们不希望出现这种情况，但这有助于加快从故障中恢复的速度，因为连接会超时，其他节点会放弃尝试与被切断的部分建立连接，从而减少相关节点的负载。&lt;br /&gt;
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A common occurrence during a cascade failure is a '''walking failure''', where sections go down, causing the next section to fail, after which the first section comes back up. This '''ripple''' can make several passes through the same sections or connecting nodes before stability is restored.&lt;br /&gt;
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A common occurrence during a cascade failure is a walking failure, where sections go down, causing the next section to fail, after which the first section comes back up. This ripple can make several passes through the same sections or connecting nodes before stability is restored.&lt;br /&gt;
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在级联故障中，一个常见的现象是行走故障，即各段下行，导致下一段故障，之后第一段回升。在恢复稳定之前，这种波纹可能会在相同的区段或连接节点上进行多次传递。&lt;br /&gt;
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=== History ===&lt;br /&gt;
历史&lt;br /&gt;
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Cascade failures are a relatively recent development, with the massive increase in traffic and the high interconnectivity between systems and networks. The term was first applied in this context in the late 1990s by a Dutch IT professional and has slowly become a relatively common term for this kind of large-scale failure.{{Citation needed|date=January 2009}}&lt;br /&gt;
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Cascade failures are a relatively recent development, with the massive increase in traffic and the high interconnectivity between systems and networks. The term was first applied in this context in the late 1990s by a Dutch IT professional and has slowly become a relatively common term for this kind of large-scale failure.&lt;br /&gt;
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级联故障是一个相对较新的发展，随着流量的大量增加和系统与网络之间的高度互连性而出现。这个术语最早是在90年代末由一位荷兰的IT专业人员在此情况下使用的，后来慢慢成为这种大规模故障的一个比较常见的术语。&lt;br /&gt;
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=== Example ===&lt;br /&gt;
案例&lt;br /&gt;
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Network failures typically start when a single network node fails. Initially, the traffic that would normally go through the node is stopped. Systems and users get errors about not being able to reach hosts. Usually, the redundant systems of an ISP respond very quickly, choosing another path through a different backbone. The routing path through this alternative route is longer, with more [[Hop (telecommunications)|hops]] and subsequently going through more systems that normally do not process the amount of traffic suddenly offered.&lt;br /&gt;
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Network failures typically start when a single network node fails. Initially, the traffic that would normally go through the node is stopped. Systems and users get errors about not being able to reach hosts. Usually, the redundant systems of an ISP respond very quickly, choosing another path through a different backbone. The routing path through this alternative route is longer, with more hops and subsequently going through more systems that normally do not process the amount of traffic suddenly offered.&lt;br /&gt;
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网络故障通常在单个网络节点故障时开始。最初，正常情况下会经过该节点的流量被停止。系统和用户会得到无法到达主机的错误。通常，ISP的冗余系统会很快做出反应，选择另一条通过不同骨干网的路径。通过这条替代路径的路由路径更长，跳数更多，随后要经过更多的系统，而这些系统通常不会处理突然提供的流量。&lt;br /&gt;
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This can cause one or more systems along the alternative route to go down, creating similar problems of their own.&lt;br /&gt;
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This can cause one or more systems along the alternative route to go down, creating similar problems of their own.&lt;br /&gt;
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这可能会导致替代路线上的一个或多个系统瘫痪，造成自身的类似问题。&lt;br /&gt;
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Also, related systems are affected in this case. As an example, [[Domain name system|DNS]] resolution might fail and what would normally cause systems to be interconnected, might break connections that are not even directly involved in the actual systems that went down. This, in turn, may cause seemingly unrelated nodes to develop problems, that can cause another cascade failure all on its own.&lt;br /&gt;
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Also, related systems are affected in this case. As an example, DNS resolution might fail and what would normally cause systems to be interconnected, might break connections that are not even directly involved in the actual systems that went down. This, in turn, may cause seemingly unrelated nodes to develop problems, that can cause another cascade failure all on its own.&lt;br /&gt;
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此外，在这种情况下，相关系统也会受到影响。例如，DNS解析可能会失败，通常会导致系统互连的情况可能会破坏甚至没有直接参与实际系统故障的连接。而这又可能导致看似不相关的节点出现问题，从而导致另一个级联故障的发生。&lt;br /&gt;
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In December 2012, a partial loss (40%) of [[Gmail]] service occurred globally, for 18 minutes. This loss of service was caused by a routine update of load balancing software which contained faulty logic—in this case, the error was caused by logic using an [https://arstechnica.com/information-technology/2012/12/why-gmail-went-down-google-misconfigured-chromes-sync-server/ inappropriate ''all'' instead of the more appropriate ''some''.] The cascading error was fixed by fully updating a single node in the network instead of partially updating all nodes at one time.&lt;br /&gt;
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In December 2012, a partial loss (40%) of Gmail service occurred globally, for 18 minutes. This loss of service was caused by a routine update of load balancing software which contained faulty logic—in this case, the error was caused by logic using an [https://arstechnica.com/information-technology/2012/12/why-gmail-went-down-google-misconfigured-chromes-sync-server/ inappropriate all instead of the more appropriate some.] The cascading error was fixed by fully updating a single node in the network instead of partially updating all nodes at one time.&lt;br /&gt;
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2012年12月，Gmail服务在全球范围内出现了部分损失(40%)，持续了18分钟。这次服务损失是由包含错误逻辑的负载平衡软件的例行更新引起的--在这种情况下，该错误是由使用[https://arstechnica.com/information-technology/2012/12/why-gmail-went-down-google-misconfigured-chromes-sync-server/ 不合适的all而不是更合适的some]的逻辑引起的。通过完全更新网络中的一个节点，而不是一次部分更新所有节点，修复了级联错误。&lt;br /&gt;
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== Cascading structural failure ==&lt;br /&gt;
级联结构故障&lt;br /&gt;
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Certain load-bearing structures with discrete structural components can be subject to the &amp;quot;zipper effect&amp;quot;, where the failure of a single structural member increases the load on adjacent members.  In the case of the [[Hyatt Regency walkway collapse]], a suspended walkway (which was already overstressed due to an error in construction) failed when a single vertical suspension rod failed, overloading the neighboring rods which failed sequentially (i.e. like a [[zipper]]). A bridge that can have such a failure is called fracture critical, and numerous bridge collapses have been caused by the failure of a single part. Properly designed structures use an adequate [[factor of safety]] and/or alternate load paths to prevent this type of mechanical cascade failure.&amp;lt;ref name=&amp;quot;petroski&amp;quot;&amp;gt;{{cite book| title=To Engineer Is Human: The Role of Failure in Structural Design| first=Henry| last=Petroski| year=1992| isbn=978-0-679-73416-1| publisher=Vintage| place=| url-access=registration| url=https://archive.org/details/toengineerishuma00petr}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Certain load-bearing structures with discrete structural components can be subject to the &amp;quot;zipper effect&amp;quot;, where the failure of a single structural member increases the load on adjacent members.  In the case of the Hyatt Regency walkway collapse, a suspended walkway (which was already overstressed due to an error in construction) failed when a single vertical suspension rod failed, overloading the neighboring rods which failed sequentially (i.e. like a zipper). A bridge that can have such a failure is called fracture critical, and numerous bridge collapses have been caused by the failure of a single part. Properly designed structures use an adequate factor of safety and/or alternate load paths to prevent this type of mechanical cascade failure.&lt;br /&gt;
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某些具有离散结构构件的承重结构可能会出现 &amp;quot;拉链效应&amp;quot;，即单个结构构件的失效会增加相邻构件的荷载。 在凯悦酒店人行道坍塌事件中，当单根垂直悬杆失效时，悬空的人行道（由于施工中的错误，人行道已经过度受力）失效，使相邻的悬杆超载，相邻的悬杆依次失效（像拉链一样）。一座可能发生这种破坏的桥梁被称为断裂临界桥梁，许多桥梁的坍塌都是由单一部件的故障引起的。正确设计的结构使用足够的安全系数和/或交替的荷载路径来防止这种类型的机械级联失效。&lt;br /&gt;
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== Other examples ==&lt;br /&gt;
其他例子&lt;br /&gt;
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=== Biology ===&lt;br /&gt;
生物&lt;br /&gt;
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[[Biochemical cascade]]s exist in biology, where a small reaction can have system-wide implications. One negative example is [[ischemic cascade]], in which a small [[ischemia|ischemic]] attack releases [[toxin]]s which kill off far more cells than the initial damage, resulting in more toxins being released. Current research is to find a way to block this cascade in [[stroke]] patients to minimize the damage.&lt;br /&gt;
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Biochemical cascades exist in biology, where a small reaction can have system-wide implications. One negative example is ischemic cascade, in which a small ischemic attack releases toxins which kill off far more cells than the initial damage, resulting in more toxins being released. Current research is to find a way to block this cascade in stroke patients to minimize the damage.&lt;br /&gt;
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生物学中存在着生化级联，一个小的反应就会对整个系统产生影响。一个负面的例子是缺血性级联反应，在这种反应中，一个小的缺血性发作释放出的毒素比最初的损伤杀死更多的细胞，导致更多的毒素被释放。目前的研究正在寻找一种方法来阻断中风患者的这种级联反应，以最大限度地减少损伤。&lt;br /&gt;
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In the study of extinction, sometimes the extinction of one species will cause many other extinctions to happen. Such a species is known as a [[keystone species]].&lt;br /&gt;
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In the study of extinction, sometimes the extinction of one species will cause many other extinctions to happen. Such a species is known as a keystone species.&lt;br /&gt;
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在物种灭绝的研究中，有时一个物种的灭绝会导致许多其他物种的灭绝。这样的物种被称为关键物种。&lt;br /&gt;
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=== Electronics ===&lt;br /&gt;
电子学&lt;br /&gt;
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Another example is the [[Cockcroft–Walton generator]], which can also experience cascade failures wherein one failed [[diode]] can result in all the diodes failing in a fraction of a second.&lt;br /&gt;
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Another example is the Cockcroft–Walton generator, which can also experience cascade failures wherein one failed diode can result in all the diodes failing in a fraction of a second.&lt;br /&gt;
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另一个例子是Cockcroft-Walton发电机，它也会发生级联故障，其中一个故障的二极管会导致所有二极管在几分之一秒内发生故障。&lt;br /&gt;
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Yet another example of this effect in a scientific experiment was the [[Implosion (mechanical process)|implosion]] in 2001 of several thousand fragile glass photomultiplier tubes used in the [[Super-Kamiokande]] experiment, where the shock wave caused by the failure of a single detector appears to have triggered the implosion of the other detectors in a chain reaction.&lt;br /&gt;
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Yet another example of this effect in a scientific experiment was the implosion in 2001 of several thousand fragile glass photomultiplier tubes used in the Super-Kamiokande experiment, where the shock wave caused by the failure of a single detector appears to have triggered the implosion of the other detectors in a chain reaction.&lt;br /&gt;
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在科学实验中，这种效应的另一个例子是2001年用于超级神冈探测器实验中使用的几千支易碎的玻璃光电倍增管发生内爆，其中一个探测器的故障造成的冲击波似乎引发了连锁反应中其他探测器的内爆。&lt;br /&gt;
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=== Finance ===&lt;br /&gt;
金融&lt;br /&gt;
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{{main|Systemic risk}} {{main|Cascades in financial networks}}&lt;br /&gt;
{{主要}系统性风险}} {{主要}金融网络中的级联}}}&lt;br /&gt;
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In [[finance]], the risk of cascading failures of financial institutions is referred to as ''[[systemic risk]]:'' the failure of one financial institution may cause other financial institutions (its [[Counterparty|counterparties]]) to fail, cascading throughout the system.&amp;lt;ref name=&amp;quot;HuangVodenska2013&amp;quot;&amp;gt;{{cite journal|last1=Huang|first1=Xuqing|last2=Vodenska|first2=Irena|last3=Havlin|first3=Shlomo|last4=Stanley|first4=H. Eugene|title=Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation|journal=Scientific Reports|volume=3|pages=1219|year=2013|issn=2045-2322|doi=10.1038/srep01219|pmid=23386974|pmc=3564037|arxiv=1210.4973|bibcode=2013NatSR...3E1219H}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In finance, the risk of cascading failures of financial institutions is referred to as systemic risk: the failure of one financial institution may cause other financial institutions (its counterparties) to fail, cascading throughout the system.&lt;br /&gt;
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在金融领域，金融机构连锁倒闭的风险被称为系统性风险：一家金融机构的倒闭可能会引起其他金融机构（其交易对手）的倒闭，在整个系统中连锁倒闭。&lt;br /&gt;
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Institutions that are believed to pose systemic risk are deemed either &amp;quot;[[too big to fail]]&amp;quot; (TBTF) or &amp;quot;too interconnected to fail&amp;quot; (TICTF), depending on why they appear to pose a threat.&lt;br /&gt;
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Institutions that are believed to pose systemic risk are deemed either &amp;quot;too big to fail&amp;quot; (TBTF) or &amp;quot;too interconnected to fail&amp;quot; (TICTF), depending on why they appear to pose a threat.&lt;br /&gt;
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那些被认为构成系统性风险的机构要么被视为“太大而不能倒”(TBTF) ，要么被视为“太相关而不能倒闭”(TICTF) ，这取决于它们为什么会构成威胁。&lt;br /&gt;
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Note however that systemic risk is not due to individual institutions per se, but due to the interconnections. For detailed models in economics and finance, see Elliott et al. (2014) and Acemoglu et al. (2015).&amp;lt;ref name=&amp;quot;Acemoglu Ozdaglar Tahbaz-Salehi 2015 pp. 564–608&amp;quot;&amp;gt;{{cite journal | last=Acemoglu | first=Daron | last2=Ozdaglar | first2=Asuman | last3=Tahbaz-Salehi | first3=Alireza | title=Systemic Risk and Stability in Financial Networks | journal=American Economic Review | publisher=American Economic Association | volume=105 | issue=2 | year=2015 | issn=0002-8282 | doi=10.1257/aer.20130456 | pages=564–608| hdl=1721.1/100979 | hdl-access=free }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Elliott Golub Jackson 2014 pp. 3115–3153&amp;quot;&amp;gt;{{cite journal | last=Elliott | first=Matthew | last2=Golub | first2=Benjamin | last3=Jackson | first3=Matthew O. | title=Financial Networks and Contagion | journal=American Economic Review | publisher=American Economic Association | volume=104 | issue=10 | year=2014 | issn=0002-8282 | doi=10.1257/aer.104.10.3115 | pages=3115–3153}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Note however that systemic risk is not due to individual institutions per se, but due to the interconnections. For detailed models in economics and finance, see Elliott et al. (2014) and Acemoglu et al. (2015).&lt;br /&gt;
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但请注意，系统性风险不是由于单个机构本身造成的，而是由于它们相互之间的联系。关于经济学和金融学的详细模型，请参阅Elliott等人（2014）和Acemoglu等人（2015）的文章。&lt;br /&gt;
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A related (though distinct) type of cascading failure in finance occurs in the stock market, exemplified by the [[2010 Flash Crash]].&lt;br /&gt;
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A related (though distinct) type of cascading failure in finance occurs in the stock market, exemplified by the 2010 Flash Crash.&lt;br /&gt;
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金融领域的一种相关的（但不同的）级联失败发生在股票市场，2010年的闪电崩盘就是一个例子。&lt;br /&gt;
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For another framework to study and predict the effect of cascading failures in finance see &amp;lt;ref&amp;gt;{{cite journal|last1=Li|first1=W|last2=Kenett|first2=DY|last3=Yamasaki|first3=K|last4=Stanley|first4=HE|last5=Havlin|first5=S|title=Ranking the economic importance of countries and industries|journal=Journal of Network Theory in Finance|volume=3|pages=1–17|year=2017|issn=2055-7795|doi=10.21314/JNTF.2017.031|arxiv=1408.0443}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;HuangVodenska2013&amp;quot;/&amp;gt;&lt;br /&gt;
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For another framework to study and predict the effect of cascading failures in finance see &lt;br /&gt;
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有关研究和预测金融连锁反应影响的另一个框架，请参见&lt;br /&gt;
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== Interdependent cascading failures ==&lt;br /&gt;
相互依赖的级联故障&lt;br /&gt;
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[[File:Interdependent_relationship_among_different_infrastructures.tif|thumb|right|Fig. 1: Illustration of the interdependent relationship among different infrastructures]]&lt;br /&gt;
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Fig. 1: Illustration of the interdependent relationship among different infrastructures&lt;br /&gt;
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图1: 不同基础设施之间的相互依存关系的说明&lt;br /&gt;
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[[File:Schematic_demonstration_of_first-_and_second-order_percolation_transitions.tif|thumb|right|Fig. 2. Schematic demonstration of first- and second-order percolation transitions. In the second-order case, the giant component is continuously approaching zero at the percolation threshold p = p_c. In the first-order case, the giant component approaches zero discontinuously]]&lt;br /&gt;
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Fig. 2. Schematic demonstration of first- and second-order percolation transitions. In the second-order case, the giant component is continuously approaching zero at the percolation threshold p = p_c. In the first-order case, the giant component approaches zero discontinuously&lt;br /&gt;
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图2： 一阶和二阶渗流过渡的示意图。在二阶情况下，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;最大连通分支 giant component&amp;lt;/font&amp;gt;'''在渗流阈值p=p_c时不断接近零。在一阶情况下，最大连通分支不连续地接近零。&lt;br /&gt;
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Diverse [[infrastructure]]s such as [[water supply]], [[transportation]], fuel and [[power station]]s are coupled together and depend on each other for functioning, see Fig. 1.  Owing to this coupling, interdependent networks are extremely sensitive to random failures, and in particular to [[Targeted threat|targeted attacks]], such that a failure of a small fraction of nodes in one network can triger an iterative cascade of failures in several interdependent networks.&amp;lt;ref&amp;gt;{{cite web|title=Report of the Commission to Assess the Threat to the United States from Electromagnetic Pulse (EMP) Attack|url=http://empcommission.org/docs/A2473-EMP_Commission-7MB.pdf}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last=Rinaldi|first=S.M.|last2=Peerenboom|first2=J.P.|last3=Kelly|first3=T.K.|date=2001|title=Identifying, understanding, and analyzing critical infrastructure interdependencies|url=|journal= IEEE Control Systems Magazine|volume=21|pages=11–25|via=}}&amp;lt;/ref&amp;gt; [[Power outage|Electrical blackouts]] frequently result from a cascade of failures between interdependent networks, and the problem has been dramatically exemplified by the several large-scale blackouts that have occurred in recent years. Blackouts are a fascinating demonstration of the important role played by the dependencies between networks. For example, the [[2003 Italy blackout]] resulted in a widespread failure of the [[Rail transport|railway network]], [[Health system|health care systems]], and [[financial services]] and, in addition, severely influenced the [[telecommunication network]]s. The partial failure of the communication system in turn further impaired the [[electrical grid]] management system, thus producing a positive feedback on the power grid.&amp;lt;ref&amp;gt;{{cite journal|last=V. Rosato |first=Issacharoff, L., Tiriticco, F., Meloni, S., Porcellinis, S.D., &amp;amp; Setola, R. |title=Modelling interdependent infrastructures using interacting dynamical models |journal=International Journal of Critical Infrastructures |year=2008 |volume=4 |pages=63–79 |doi=10.1504/IJCIS.2008.016092 }}&amp;lt;/ref&amp;gt; This example emphasizes how inter-dependence can significantly magnify the damage in an interacting network system. A framework to study the cascading failures between coupled networks  based on percolation theory was developed recently.&amp;lt;ref&amp;gt;{{cite journal|last=S. V. Buldyrev|first=R. Parshani, G. Paul, H. E. Stanley, S. Havlin|title=Catastrophic cascade of failures in interdependent networks|journal=Nature|year=2010|volume=464|pages=1025–8|doi=10.1038/nature08932|url=http://havlin.biu.ac.il/Publications.php?keyword=Catastrophic+cascade+of+failures+in+interdependent+networks&amp;amp;year=*&amp;amp;match=all|pmid=20393559|issue=7291&lt;br /&gt;
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Diverse infrastructures such as water supply, transportation, fuel and power stations are coupled together and depend on each other for functioning, see Fig. 1.  Owing to this coupling, interdependent networks are extremely sensitive to random failures, and in particular to targeted attacks, such that a failure of a small fraction of nodes in one network can triger an iterative cascade of failures in several interdependent networks. Electrical blackouts frequently result from a cascade of failures between interdependent networks, and the problem has been dramatically exemplified by the several large-scale blackouts that have occurred in recent years. Blackouts are a fascinating demonstration of the important role played by the dependencies between networks. For example, the 2003 Italy blackout resulted in a widespread failure of the railway network, health care systems, and financial services and, in addition, severely influenced the telecommunication networks. The partial failure of the communication system in turn further impaired the electrical grid management system, thus producing a positive feedback on the power grid. This example emphasizes how inter-dependence can significantly magnify the damage in an interacting network system. A framework to study the cascading failures between coupled networks  based on percolation theory was developed recently.&amp;lt;ref&amp;gt;{{cite journal|last=S. V. Buldyrev|first=R. Parshani, G. Paul, H. E. Stanley, S. Havlin|title=Catastrophic cascade of failures in interdependent networks|journal=Nature|year=2010|volume=464|pages=1025–8|doi=10.1038/nature08932|url=http://havlin.biu.ac.il/Publications.php?keyword=Catastrophic+cascade+of+failures+in+interdependent+networks&amp;amp;year=*&amp;amp;match=all|pmid=20393559|issue=7291&lt;br /&gt;
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诸如供水、运输、燃料和发电站等多种基础设施都是耦合在一起的，并相互依赖着运行，见图1。 由于这种耦合，相互依存的网络对随机故障，特别是对有针对性的攻击极为敏感，因此，一个网络中一小部分节点的故障就会导致几个相互依存的网络中出现一连串的故障。电气停电经常是由相互依赖的网络之间的故障级联造成的，近年来发生的几次大规模停电事件就极大地说明了这个问题。停电是网络之间的依存关系所起的重要作用的一个引人入胜的证明。例如，2003年意大利大停电导致铁路网、医疗系统、金融服务大面积瘫痪，此外，还严重影响了电信网络。通信系统的部分故障又进一步损害了电网管理系统，从而对电网产生了正反馈。这个例子强调了在一个相互影响的网络系统中，相互依赖性是如何显著放大损害的。基于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 渗流理论 Percolation Theory&amp;lt;/font&amp;gt;'''，最近发展了一个研究耦合网络之间级联故障的框架。1 = r.在相互依赖的网络中灾难性的级联故障 | 杂志 = 自然 | 年 = 2010 | 卷 = 464 | 页 = 1025-8 | doi = 10.1038/nature08932 | url =  http://Havlin.biu.ac.il/publications.php?keyword=Catastrophic+cascade+of+failures+in+interdependent+networks&amp;amp;year=*&amp;amp;match=all|pmid=20393559|issue=7291&lt;br /&gt;
 &lt;br /&gt;
|arxiv=1012.0206|bibcode=2010Natur.464.1025B}}&amp;lt;/ref&amp;gt; The cascading failures can lead to abrupt collapse compare to percolation in a single network where the breakdown of the network is continuous, see Fig. 2.&lt;br /&gt;
&lt;br /&gt;
|arxiv=1012.0206|bibcode=2010Natur.464.1025B}}&amp;lt;/ref&amp;gt; The cascading failures can lead to abrupt collapse compare to percolation in a single network where the breakdown of the network is continuous, see Fig. 2.&lt;br /&gt;
&lt;br /&gt;
与级联故障可能会导致突然崩溃相比，在单一网络中，网络的崩溃是连续的，见图2。&lt;br /&gt;
&lt;br /&gt;
Cascading failures in spatially embedded systems have been&lt;br /&gt;
&lt;br /&gt;
Cascading failures in spatially embedded systems have been&lt;br /&gt;
&lt;br /&gt;
空间嵌入式系统中的级联故障已经成为当前研究的热点。&lt;br /&gt;
&lt;br /&gt;
shown to lead to extreme vulnerability.&amp;lt;ref name=&amp;quot;BashanBerezin2013&amp;quot;&amp;gt;{{cite journal|last1=Bashan|first1=Amir|last2=Berezin|first2=Yehiel|last3=Buldyrev|first3=Sergey V.|last4=Havlin|first4=Shlomo|title=The extreme vulnerability of interdependent spatially embedded networks|journal=Nature Physics|year=2013|issn=1745-2473|doi=10.1038/nphys2727|volume=9|issue=10|pages=667–672|arxiv=1206.2062|bibcode=2013NatPh...9..667B}}&amp;lt;/ref&amp;gt; For the dynamic process of cascading failures see ref.&amp;lt;ref&amp;gt;{{Cite journal|last=Zhou|first=D.|last2=Bashan|first2=A.|last3=Cohen|first3=R.|last4=Berezin|first4=Y.|last5=Shnerb|first5=N.|last6=Havlin|first6=S.|date=2014|title=Simultaneous first- and second-order percolation transitions in interdependent networks|url=|journal=Phys. Rev. E|volume=90|issue=1|pages=012803|bibcode=2014PhRvE..90a2803Z|doi=10.1103/PhysRevE.90.012803|pmid=25122338|arxiv=1211.2330}}&amp;lt;/ref&amp;gt; A model for repairing failures in order to avoid cascading failures was developed by Di Muro et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Di Muro|first=M. A.|last2=La Rocca|first2=C. E.|last3=Stanley|first3=H. E.|last4=Havlin|first4=S.|last5=Braunstein|first5=L. A.|date=2016-03-09|title=Recovery of Interdependent Networks|journal=Scientific Reports|language=En|volume=6|issue=1|pages=22834|doi=10.1038/srep22834|pmid=26956773|pmc=4783785|issn=2045-2322|arxiv=1512.02555|bibcode=2016NatSR...622834D}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
shown to lead to extreme vulnerability. For the dynamic process of cascading failures see ref. A model for repairing failures in order to avoid cascading failures was developed by Di Muro et al.&lt;br /&gt;
&lt;br /&gt;
显示会导致极端的脆弱性。关于级联故障的动态过程见参考文献。Di Muro等人开发了一个修复故障的模型，以避免级联故障。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Furthermore, it was shown that such systems when embedded in space are extremely vulnerable to localized attacks or failures. Above a critical radius of damage, the failure may spread to the entire system.&amp;lt;ref&amp;gt;{{Cite journal|last=Berezin|first=Yehiel|last2=Bashan|first2=Amir|last3=Danziger|first3=Michael M.|last4=Li|first4=Daqing|last5=Havlin|first5=Shlomo|date=2015-03-11|title=Localized attacks on spatially embedded networks with dependencies|journal=Scientific Reports|language=en|volume=5|issue=1|pages=8934|doi=10.1038/srep08934|pmid=25757572|pmc=4355725|issn=2045-2322|bibcode=2015NatSR...5E8934B}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Furthermore, it was shown that such systems when embedded in space are extremely vulnerable to localized attacks or failures. Above a critical radius of damage, the failure may spread to the entire system.&lt;br /&gt;
&lt;br /&gt;
此外，研究表明，当这种系统嵌入空间时，极易受到局部攻击或故障的影响。超过临界损伤半径，故障可能扩散到整个系统。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Model for overload cascading failures ==&lt;br /&gt;
过载级联故障模型&lt;br /&gt;
&lt;br /&gt;
A model for cascading failures due to overload propagation is the Motter–Lai model.&amp;lt;ref&amp;gt;{{Cite journal|last=Motter|first=A. E.|last2=Lai|first2=Y. C.|date=2002|title=Cascade-based attacks on complex networks|url=|journal=Phys. Rev. E|volume=66|issue=6 Pt 2|pages=065102|doi=10.1103/PhysRevE.66.065102|pmid=12513335|bibcode=2002PhRvE..66f5102M|arxiv=cond-mat/0301086}}&amp;lt;/ref&amp;gt; The tempo-spatial propagation of such failures have been studied by Jichang Zhao et al.&amp;lt;ref&amp;gt;{{Cite journal|last=Zhao|first=J.|last2=Li|first2=D.|last3=Sanhedrai|first3=H.|last4=Cohen|first4=R.|last5=Havlin|first5=S.|date=2016|title=Spatio-temporal propagation of cascading overload failures in spatially embedded networks|url=|journal=Nature Communications|volume=7|pages=10094|bibcode=2016NatCo...710094Z|doi=10.1038/ncomms10094|pmid=26754065|pmc=4729926}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
A model for cascading failures due to overload propagation is the Motter–Lai model. The tempo-spatial propagation of such failures have been studied by Jichang Zhao et al.&lt;br /&gt;
&lt;br /&gt;
过载传播导致的级联故障的模型是Motter-Lai模型。赵继昌等人对这种故障的速度空间传播进行了研究。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
请参阅&lt;br /&gt;
&lt;br /&gt;
{{div col}}&lt;br /&gt;
&lt;br /&gt;
* [[Power outage|Blackouts]]&lt;br /&gt;
*[[停电|停电]]。&lt;br /&gt;
&lt;br /&gt;
* [[Brittle system]]&lt;br /&gt;
* [[脆性系统]]&lt;br /&gt;
&lt;br /&gt;
* [[Butterfly effect]]&lt;br /&gt;
* [[蝴蝶效应]]&lt;br /&gt;
&lt;br /&gt;
* [[Byzantine failure]]&lt;br /&gt;
* [[拜占庭故障]]&lt;br /&gt;
&lt;br /&gt;
* [[Cascading rollback]]&lt;br /&gt;
* [[级联回滚]]&lt;br /&gt;
&lt;br /&gt;
* [[Chain reaction]]&lt;br /&gt;
* [[连锁反应]]&lt;br /&gt;
&lt;br /&gt;
* [[Chaos theory]]&lt;br /&gt;
* [[混沌理论]]&lt;br /&gt;
&lt;br /&gt;
* [[Cache stampede]]&lt;br /&gt;
* [[缓存雪崩]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Congestion collapse]]&lt;br /&gt;
* [[拥堵崩溃]]&lt;br /&gt;
&lt;br /&gt;
* [[Domino effect]]&lt;br /&gt;
* [[多米诺效应]]&lt;br /&gt;
&lt;br /&gt;
* [[For Want of a Nail (proverb)]]&lt;br /&gt;
* [[只因少了一颗钉子（谚语）]]&lt;br /&gt;
&lt;br /&gt;
* [[Interdependent networks]]&lt;br /&gt;
* [[相互依赖的网络]]&lt;br /&gt;
&lt;br /&gt;
* [[Kessler Syndrome]]&lt;br /&gt;
* [[凯斯勒综合症]]&lt;br /&gt;
&lt;br /&gt;
* [[Percolation theory]]&lt;br /&gt;
* [[渗流理论]]&lt;br /&gt;
&lt;br /&gt;
* [[Progressive collapse]]&lt;br /&gt;
* [[渐进式崩溃]]&lt;br /&gt;
&lt;br /&gt;
* [[Virtuous circle and vicious circle]]&lt;br /&gt;
*[[良性循环和恶性循环]]&lt;br /&gt;
&lt;br /&gt;
* [[Wicked problem]]&lt;br /&gt;
* [[抗解问题]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
参考&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{reflist}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Further reading ==&lt;br /&gt;
进一步阅读&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* {{cite web &lt;br /&gt;
&lt;br /&gt;
 |url=http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf &lt;br /&gt;
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 |url=http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf &lt;br /&gt;
&lt;br /&gt;
Http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf&lt;br /&gt;
&lt;br /&gt;
 |title=Comparison of defense strategies for cascade breakdown on SF networks with degree correlations &lt;br /&gt;
&lt;br /&gt;
 |title=Comparison of defense strategies for cascade breakdown on SF networks with degree correlations &lt;br /&gt;
&lt;br /&gt;
具有度相关性的 SF 网络级联故障的防御策略比较&lt;br /&gt;
&lt;br /&gt;
 |author=Toshiyuki Miyazaki &lt;br /&gt;
&lt;br /&gt;
 |author=Toshiyuki Miyazaki &lt;br /&gt;
&lt;br /&gt;
 |author=Toshiyuki Miyazaki&lt;br /&gt;
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 |date=1 March 2005 &lt;br /&gt;
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 |date=1 March 2005 &lt;br /&gt;
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日期 = 2005年3月1日&lt;br /&gt;
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 |url-status=dead &lt;br /&gt;
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地位 = 死亡&lt;br /&gt;
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 |archiveurl=https://web.archive.org/web/20090220024018/http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf &lt;br /&gt;
&lt;br /&gt;
 |archiveurl=https://web.archive.org/web/20090220024018/http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf &lt;br /&gt;
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2012年3月24日 | archiveurl =  https://web.archive.org/web/20090220024018/http://www.jaist.ac.jp/library/thesis/ks-master-2005/abstract/tmiyazak/abstract.pdf&lt;br /&gt;
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* {{cite web&lt;br /&gt;
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 |url=http://redmondmag.com/columns/print.asp?EditorialsID=1000 &lt;br /&gt;
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1000 http://redmondmag.com/columns/print.asp&lt;br /&gt;
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 |title=(In)Secure Shell? &lt;br /&gt;
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 |title=(In)Secure Shell? &lt;br /&gt;
&lt;br /&gt;
| title = (In) Secure Shell? ？&lt;br /&gt;
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2007-09-08&lt;br /&gt;
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 |author=Russ Cooper &lt;br /&gt;
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 |author=Russ Cooper &lt;br /&gt;
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作者: Russ Cooper&lt;br /&gt;
&lt;br /&gt;
 |date=1 June 2005 &lt;br /&gt;
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 |date=1 June 2005 &lt;br /&gt;
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日期 = 2005年6月1日&lt;br /&gt;
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| publisher = RedmondMag.com&lt;br /&gt;
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 |archiveurl=https://web.archive.org/web/20070928164525/http://redmondmag.com/columns/print.asp?EditorialsID=1000 &lt;br /&gt;
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1000 https://web.archive.org/web/20070928164525/http://redmondmag.com/columns/print.asp&lt;br /&gt;
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地位 = 死亡&lt;br /&gt;
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}}&lt;br /&gt;
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}}&lt;br /&gt;
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}}&lt;br /&gt;
&lt;br /&gt;
* {{cite web &lt;br /&gt;
&lt;br /&gt;
 |url=http://www.chds.us/?research/software&amp;amp;d=list &lt;br /&gt;
&lt;br /&gt;
 |url=http://www.chds.us/?research/software&amp;amp;d=list &lt;br /&gt;
&lt;br /&gt;
Http://www.chds.us/?research/software&amp;amp;d=list&lt;br /&gt;
&lt;br /&gt;
 |title=Cascade Net (simulation program) &lt;br /&gt;
&lt;br /&gt;
 |title=Cascade Net (simulation program) &lt;br /&gt;
&lt;br /&gt;
| title = Cascade Net (仿真程序)&lt;br /&gt;
&lt;br /&gt;
 |accessdate=2007-09-08 &lt;br /&gt;
&lt;br /&gt;
 |accessdate=2007-09-08 &lt;br /&gt;
&lt;br /&gt;
2007-09-08&lt;br /&gt;
&lt;br /&gt;
 |author=US Department of Homeland Security &lt;br /&gt;
&lt;br /&gt;
 |author=US Department of Homeland Security &lt;br /&gt;
&lt;br /&gt;
美国国土安全部&lt;br /&gt;
&lt;br /&gt;
 |date=5 February 2007 &lt;br /&gt;
&lt;br /&gt;
 |date=5 February 2007 &lt;br /&gt;
&lt;br /&gt;
| 日期 = 2007年2月5日&lt;br /&gt;
&lt;br /&gt;
 |publisher=Center for Homeland Defense and Security &lt;br /&gt;
&lt;br /&gt;
 |publisher=Center for Homeland Defense and Security &lt;br /&gt;
&lt;br /&gt;
| publisher = 国土安全防御中心&lt;br /&gt;
&lt;br /&gt;
 |url-status=dead &lt;br /&gt;
&lt;br /&gt;
 |url-status=dead &lt;br /&gt;
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地位 = 死亡&lt;br /&gt;
&lt;br /&gt;
 |archiveurl=https://web.archive.org/web/20081228044520/http://www.chds.us/?research%2Fsoftware&amp;amp;d=list &lt;br /&gt;
&lt;br /&gt;
 |archiveurl=https://web.archive.org/web/20081228044520/http://www.chds.us/?research%2Fsoftware&amp;amp;d=list &lt;br /&gt;
&lt;br /&gt;
2012年3月24日 | archiveurl =  https://web.archive.org/web/20081228044520/http://www.chds.us/?research%2fsoftware&amp;amp;d=list&lt;br /&gt;
&lt;br /&gt;
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| archivedate = 2008-12-28&lt;br /&gt;
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== External links ==&lt;br /&gt;
&lt;br /&gt;
* [https://web.archive.org/web/20060827050151/http://www.windows.ucar.edu/spaceweather/blackout.html Space Weather: Blackout — Massive Power Grid Failure]&lt;br /&gt;
&lt;br /&gt;
* [https://web.archive.org/web/20071022110507/http://vlab.infotech.monash.edu.au/simulations/networks/cascading-failure/ Cascading failure demo applet] (Monash University's Virtual Lab)&lt;br /&gt;
&lt;br /&gt;
* A. E. Motter and Y.-C. Lai, [http://chaos1.la.asu.edu/~yclai/papers/PRE_02_ML_3.pdf ''Cascade-based attacks on complex networks,''] Physical Review E (Rapid Communications) 66, 065102 (2002).&lt;br /&gt;
&lt;br /&gt;
* P. Crucitti, V. Latora and M. Marchiori, [https://pdfs.semanticscholar.org/aeda/97ccce03a5979dd4196fb7544ee0dc546f18.pdf ''Model for cascading failures in complex networks,''] Physical Review E (Rapid Communications) 69, 045104 (2004).&lt;br /&gt;
&lt;br /&gt;
* [https://web.archive.org/web/20040704132003/http://www.epri.com/programHigh.asp?objid=261741 Protection Strategies for Cascading Grid Failures — A Shortcut Approach]&lt;br /&gt;
&lt;br /&gt;
* I. Dobson, B. A. Carreras, and D. E. Newman, [https://web.archive.org/web/20060222073252/http://eceserv0.ece.wisc.edu/~dobson/PAPERS/dobsonPEIS05.pdf preprint] A loading-dependent model of probabilistic cascading failure, Probability in the Engineering and Informational Sciences, vol. 19, no. 1, January 2005, pp.&amp;amp;nbsp;15–32.&lt;br /&gt;
&lt;br /&gt;
* [https://www.pbs.org/wgbh/nova/transcripts/3105_aircrash.html Nova: Crash of Flight 111] on September 2, 1998. [[Swissair Flight 111]] flying from New York to Geneva slammed into the Atlantic Ocean off the coast of Nova Scotia with 229 people aboard. Originally believed a terrorist act. After $39 million investigation, insurance settlement of $1.5 billion and more than four years, investigators unravel the puzzle: cascading failure. What is the legacy of Swissair 111? &amp;quot;We have a window into the internal structure of design, checks and balances, protection, and safety.&amp;quot; -David Evans, Editor-in-Chief of Air Safety Week.&lt;br /&gt;
&lt;br /&gt;
* PhysicsWeb story: [http://physicsweb.org/articles/news/5/11/9 Accident grounds neutrino lab]&lt;br /&gt;
&lt;br /&gt;
* [http://necsi.edu/affiliates/braha/StructureandDynamics.htm The Structure and Dynamics of Large Scale Organizational Networks (Dan Braha, New England Complex Systems Institute)]&lt;br /&gt;
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*From Single Network to Network of Networks http://havlin.biu.ac.il/Pdf/Bremen070715a.pdf&lt;br /&gt;
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		<author><name>趣木木</name></author>
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	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B8%95%E7%B4%AF%E6%89%98%E6%9C%80%E4%BC%98&amp;diff=14687</id>
		<title>帕累托最优</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B8%95%E7%B4%AF%E6%89%98%E6%9C%80%E4%BC%98&amp;diff=14687"/>
		<updated>2020-10-01T15:44:02Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;此词条由袁一博翻译，未经人工整理和审校，带来阅读不便，请见谅。&lt;br /&gt;
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{{short description|State in which no reallocation of resources can make everyone at least as well off}}&lt;br /&gt;
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{{Use mdy dates|date=January 2016}}&lt;br /&gt;
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'''Pareto efficiency''' or '''Pareto optimality''' is a situation that cannot be modified so as to make any one individual or preference criterion better off without making at least one individual or preference criterion worse off. The concept is named after [[Vilfredo Pareto]] (1848–1923), Italian engineer and economist, who used the concept in his studies of [[economic efficiency]] and [[income distribution]]. The following three concepts are closely related:&lt;br /&gt;
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Pareto efficiency or Pareto optimality is a situation that cannot be modified so as to make any one individual or preference criterion better off without making at least one individual or preference criterion worse off. The concept is named after Vilfredo Pareto (1848–1923), Italian engineer and economist, who used the concept in his studies of economic efficiency and income distribution. The following three concepts are closely related:&lt;br /&gt;
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帕累托效率或帕累托最优是一种不能被修改的情况，它使得任何个体或优先准则变得更好而不使至少一个个体或一项优先准则变得更差。这个概念是以意大利工程师、经济学家维尔弗雷多·帕累托（1848-1923）的名字命名的。他在研究'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;经济效率&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;收入分配&amp;lt;/font&amp;gt;'''时使用了这个概念。以下三个概念密切相关：&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）专有名词与疑难句 后面需要附上英文&lt;br /&gt;
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* Given an initial situation, a '''Pareto improvement''' is a new situation which is weakly preferred by all agents, and strictly preferred by at least one agent. In a sense, it is a unanimously-agreed improvement: if we move to the new situation, some agents will gain, and no agents will lose.&lt;br /&gt;
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* A situation is called '''Pareto dominated''' if it has a Pareto improvement. &lt;br /&gt;
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* A situation is called '''Pareto optimal''' or '''Pareto efficient''' if it is not Pareto dominated.&lt;br /&gt;
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* 在一个给定的初始条件下，一个帕累托改进指的是一种不为大多数主体所喜爱但被至少一个主体喜爱的状况。在某种意义上，它是一种一致同意的改进：如果我们处于这种新的情况下，某些主体可能获利，且没有主体会蒙受损失。&lt;br /&gt;
*一种状况如果拥有一个帕累托改进，那么它被称作受帕累托支配的。&lt;br /&gt;
*一种状况如果是不受帕累托支配的，那么它被称作帕累托最优的或帕累托有效的。&lt;br /&gt;
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The '''Pareto frontier''' is the set of all Pareto efficient allocations, conventionally shown [[Chart|graphically]]. It also is variously known as the '''Pareto front''' or '''Pareto set'''.&amp;lt;ref&amp;gt;{{Cite web|url=http://www.cenaero.be/Page.asp?docid=27103&amp;amp;|title=Pareto Front|last=proximedia|website=www.cenaero.be|access-date=2018-10-08}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The Pareto frontier is the set of all Pareto efficient allocations, conventionally shown graphically. It also is variously known as the Pareto front or Pareto set.&lt;br /&gt;
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帕累托边界是所有帕累托有效分配的集合，按惯例以图表形式表示它。它也被称为帕累托前沿或帕累托集。&lt;br /&gt;
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&amp;quot;Pareto efficiency&amp;quot; is considered as a minimal notion of efficiency that does not necessarily result in a socially desirable distribution of resources: it makes no statement about [[Social equality|equality]], or the overall well-being of a society.&amp;lt;ref&amp;gt;{{cite journal |authorlink=Amartya Sen |first=A. |last=Sen |title=Markets and freedom: Achievements and limitations of the market mechanism in promoting individual freedoms |journal=Oxford Economic Papers |volume=45 |issue=4 |pages=519–541 |date=October 1993 |jstor=2663703 |url=http://www.cs.princeton.edu/courses/archive/spr06/cos444/papers/sen.pdf |doi=10.1093/oxfordjournals.oep.a042106 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |first=N. |last=Barr |author-link=Nicholas Barr|chapter=3.2.2 The relevance of efficiency to different theories of society |title=Economics of the Welfare State |year=2012 |publisher=[[Oxford University Press]] |isbn=978-0-19-929781-8 |pages=[https://books.google.com/books?id=DOg0BM1XiqQC&amp;amp;pg=PA46 46–49] |edition=5th}}&amp;lt;/ref&amp;gt;{{rp|46–49}} It is a necessary, but not sufficient, condition of efficiency.&lt;br /&gt;
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&amp;quot;Pareto efficiency&amp;quot; is considered as a minimal notion of efficiency that does not necessarily result in a socially desirable distribution of resources: it makes no statement about equality, or the overall well-being of a society. It is a necessary, but not sufficient, condition of efficiency.&lt;br /&gt;
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“帕累托最优”被认为是一种狭义的效率，它不一定产生社会所期望的资源分配: 它没有为平等或一个社会的总体福祉发声。它是效率的必要不充分条件。&lt;br /&gt;
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In addition to the context of efficiency in ''allocation'', the concept of Pareto efficiency also arises in the context of [[productive efficiency|''efficiency in production'']] vs. ''[[x-inefficiency]]'': a set of outputs of goods is Pareto efficient if there is no feasible re-allocation of productive inputs such that output of one product increases while the outputs of all other goods either increase or remain the same.&amp;lt;ref&amp;gt;[[John D. Black|Black, J. D.]], Hashimzade, N., &amp;amp; [[Gareth Myles|Myles, G.]], eds., ''A Dictionary of Economics'', 5th ed. (Oxford: Oxford University Press, 2017), [https://books.google.com/books?id=WyvYDQAAQBAJ&amp;amp;pg=PT459 p. 459].&amp;lt;/ref&amp;gt;{{rp|459}}&lt;br /&gt;
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In addition to the context of efficiency in allocation, the concept of Pareto efficiency also arises in the context of efficiency in production vs. x-inefficiency: a set of outputs of goods is Pareto efficient if there is no feasible re-allocation of productive inputs such that output of one product increases while the outputs of all other goods either increase or remain the same.&lt;br /&gt;
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除了分配效率的背景之外，帕累托最优的概念也出现在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;生产效率&amp;lt;/font&amp;gt;'''对比于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;x-低效率&amp;lt;/font&amp;gt;'''的背景之下，即如果生产投入没有可行的再分配，或者说一种产品的产出增加，而所有其他产品的产出增加或保持不变，那么一组产品的产出就是帕累托有效的。&lt;br /&gt;
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Besides economics, the notion of Pareto efficiency has been applied to the selection of alternatives in [[engineering]] and [[biology]]. Each option is first assessed, under multiple criteria, and then a subset of options is ostensibly identified with the property that no other option can categorically outperform the specified option.  It is a statement of impossibility of improving one variable without harming other variables in the subject of [[multi-objective optimization]] (also termed '''Pareto optimization''').&lt;br /&gt;
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Besides economics, the notion of Pareto efficiency has been applied to the selection of alternatives in engineering and biology. Each option is first assessed, under multiple criteria, and then a subset of options is ostensibly identified with the property that no other option can categorically outperform the specified option.  It is a statement of impossibility of improving one variable without harming other variables in the subject of multi-objective optimization (also termed Pareto optimization).&lt;br /&gt;
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除了经济学，帕累托最优的概念已经应用到工程和生物学中的替代品的选择。首先根据多项标准对每个选项进行评估，然后确定选项子集，其中的任何元素都具有没有其他选项可以明确胜过该元素的属性。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;多目标优化&amp;lt;/font&amp;gt;'''(又称帕累托优化)中，这是一种对在不损害其他变量的情况下改进一个变量的不可能性的陈述。&lt;br /&gt;
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== Overview  综述 ==&lt;br /&gt;
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&amp;quot;Pareto optimality&amp;quot; is a formally defined concept used to describe when an [[resource allocation|allocation]] is optimal. An allocation is ''not'' Pareto optimal if there is an alternative allocation where improvements can be made to at least one participant's well-being without reducing any other participant's well-being. If there is a transfer that satisfies this condition, the reallocation is called a &amp;quot;Pareto improvement&amp;quot;. When no further Pareto improvements are possible, the allocation is a &amp;quot;Pareto optimum&amp;quot;.&lt;br /&gt;
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&amp;quot;Pareto optimality&amp;quot; is a formally defined concept used to describe when an allocation is optimal. An allocation is not Pareto optimal if there is an alternative allocation where improvements can be made to at least one participant's well-being without reducing any other participant's well-being. If there is a transfer that satisfies this condition, the reallocation is called a &amp;quot;Pareto improvement&amp;quot;. When no further Pareto improvements are possible, the allocation is a &amp;quot;Pareto optimum&amp;quot;.&lt;br /&gt;
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“帕累托最优”是一个正式定义的概念，用来描述一个分配何时是最优的。如果有一种替代性的分配方式可以在不降低任何其他参与者福祉的情况下改善至少一个参与者的福祉，那么这种分配就不是帕累托最优的。如果有一个转移满足这个条件，这个再分配就被称为“帕累托改进”。当无法进一步实现帕累托改进时，这个分配就是“帕累托最优”。&lt;br /&gt;
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The formal presentation of the concept in an economy is as follows: Consider an economy with &amp;lt;math&amp;gt; n&amp;lt;/math&amp;gt; agents and &amp;lt;math&amp;gt; k &amp;lt;/math&amp;gt; goods. Then an allocation &amp;lt;math&amp;gt; \{x_1, ..., x_n\} &amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt; x_i \in \mathbb{R}^k &amp;lt;/math&amp;gt; for all ''i'', is ''Pareto optimal'' if there is no other feasible allocation &amp;lt;math&amp;gt; \{x_1', ..., x_n'\} &amp;lt;/math&amp;gt; such that, for utility function &amp;lt;math&amp;gt; u_i &amp;lt;/math&amp;gt; for each agent &amp;lt;math&amp;gt; i &amp;lt;/math&amp;gt;, &amp;lt;math&amp;gt; u_i(x_i') \geq u_i(x_i) &amp;lt;/math&amp;gt; for all &amp;lt;math&amp;gt; i \in \{1, ..., n\} &amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; u_i(x_i') &amp;gt; u_i(x_i) &amp;lt;/math&amp;gt; for some &amp;lt;math&amp;gt; i&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;AndreuMas95&amp;quot;&amp;gt;{{citation|author-link=Andreu Mas-Colell|last1=Mas-Colell|first1=A.|first2=Michael D.|last2=Whinston|first3=Jerry R.|last3=Green|year=1995|title=Microeconomic Theory|chapter=Chapter 16: Equilibrium and its Basic Welfare Properties|publisher=Oxford University Press|isbn=978-0-19-510268-0|url-access=registration|url=https://archive.org/details/isbn_9780198089537}}&amp;lt;/ref&amp;gt; Here, in this simple economy, &amp;quot;feasibility&amp;quot; refers to an allocation where the total amount of each good that is allocated sums to no more than the total amount of the good in the economy. In a more complex economy with production, an allocation would consist both of consumption [[Vector space|vector]]s and production vectors, and feasibility would require that the total amount of each consumed good is no greater than the initial endowment plus the amount produced.&lt;br /&gt;
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The formal presentation of the concept in an economy is as follows: Consider an economy with &amp;lt;math&amp;gt; n&amp;lt;/math&amp;gt; agents and &amp;lt;math&amp;gt; k &amp;lt;/math&amp;gt; goods. Then an allocation &amp;lt;math&amp;gt; \{x_1, ..., x_n\} &amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt; x_i \in \mathbb{R}^k &amp;lt;/math&amp;gt; for all i, is Pareto optimal if there is no other feasible allocation &amp;lt;math&amp;gt; \{x_1', ..., x_n'\} &amp;lt;/math&amp;gt; such that, for utility function &amp;lt;math&amp;gt; u_i &amp;lt;/math&amp;gt; for each agent &amp;lt;math&amp;gt; i &amp;lt;/math&amp;gt;, &amp;lt;math&amp;gt; u_i(x_i') \geq u_i(x_i) &amp;lt;/math&amp;gt; for all &amp;lt;math&amp;gt; i \in \{1, ..., n\} &amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; u_i(x_i') &amp;gt; u_i(x_i) &amp;lt;/math&amp;gt; for some &amp;lt;math&amp;gt; i&amp;lt;/math&amp;gt;. Here, in this simple economy, &amp;quot;feasibility&amp;quot; refers to an allocation where the total amount of each good that is allocated sums to no more than the total amount of the good in the economy. In a more complex economy with production, an allocation would consist both of consumption vectors and production vectors, and feasibility would require that the total amount of each consumed good is no greater than the initial endowment plus the amount produced.&lt;br /&gt;
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这个概念在一个经济体系中的正式表现如下: 考虑一个有''n''个主体和''k''个商品的经济体系，如果没有其他可行的分配'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''使得对于效用函数对任意主体''i''满足'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，它对某些个体''i''满足'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，那么一个分配'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，是 Pareto 最优的，其中对任意''i''，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。在这个简单的经济体系中，“可行性”是指每种商品的分配总额不超过该经济体系中所有商品的总额。在一个有生产能力的更为复杂的经济体中，一个分配将包括消费载体和生产载体，且可行性要求每种消费品的总量不大于初始禀赋加上生产总量。&lt;br /&gt;
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In principle, a change from a generally inefficient economic allocation to an efficient one is not necessarily considered to be a Pareto improvement. Even when there are overall gains in the economy, if a single agent is disadvantaged by the reallocation, the allocation is not Pareto optimal. For instance, if a change in economic policy eliminates a monopoly and that market subsequently becomes competitive, the gain to others may be large. However, since the monopolist is disadvantaged, this is not a Pareto improvement. In theory, if the gains to the economy are larger than the loss to the monopolist, the monopolist could be compensated for its loss while still leaving a net gain for others in the economy, allowing for a Pareto improvement. Thus, in practice, to ensure that nobody is disadvantaged by a change aimed at achieving Pareto efficiency, [[compensation principle|compensation]] of one or more parties may be required. It is acknowledged, in the real world, that such compensations may have [[unintended consequences]] leading to incentive distortions over time, as agents supposedly anticipate such compensations and change their actions accordingly.&amp;lt;ref&amp;gt;See [[Ricardian equivalence]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In principle, a change from a generally inefficient  to an efficient one is not necessarily considered to be a Pareto improvement. Even when there are overall gains in the economy, if a single agent is disadvantaged by the reallocation, the allocation is not Pareto optimal. For instance, if a change in economic policy eliminates a monopoly and that market subsequently becomes competitive, the gain to others may be large. However, since the monopolist is disadvantaged, this is not a Pareto improvement. In theory, if the gains to the economy are larger than the loss to the monopolist, the monopolist could be compensated for its loss while still leaving a net gain for others in the economy,  a Pareto improvement. Thus, in practice, to ensure that nobody is disadvantaged by a change aimed at achieving Pareto efficiency, compensation of one or more parties may be required. It is acknowledged, in the real world, that such compensations may have unintended consequences leading to incentive distortions over time, as agents supposedly anticipate such compensations and change their actions accordingly.&lt;br /&gt;
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原则上，从一个普遍低效率的经济分配到一个高效率的经济分配的转变不一定被认为是一个帕累托改进。即使经济总体是获益的，如果一个主体在再分配中处于不利地位，这个分配也不是帕累托最优的。例如，如果经济政策的某个改变消除了垄断，市场随后变得具有竞争力，那么其他主体的收益可能很大。然而，由于垄断者处于不利地位，这不是一个帕累托改善。理论上，如果经济体系的收益大于垄断者的损失，考虑到帕累托改善，垄断者可以在为经济体系中的其他主体留下净收益的情况下得到补偿。因此，在实践中，为了确保没有人会因为旨在实现帕累托最优的改变而处于不利地位，可能需要对一个或多个当事方进行补偿。在现实世界中，因为代理人可能预期这种补偿并相应地改变他们的行为，随着时间的推移，这种补偿可能会造成意外的后果以及动机的扭曲。&lt;br /&gt;
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Under the idealized conditions of the [[first welfare theorem]], a system of [[free market]]s, also called a &amp;quot;[[competitive equilibrium]]&amp;quot;, leads to a Pareto-efficient outcome. It was first demonstrated mathematically by economists [[Kenneth Arrow]] and [[Gérard Debreu]].&lt;br /&gt;
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Under the idealized conditions of the first welfare theorem, a system of free markets, also called a &amp;quot;competitive equilibrium&amp;quot;, leads to a Pareto-efficient outcome. It was first demonstrated mathematically by economists Kenneth Arrow and Gérard Debreu.&lt;br /&gt;
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在福利经济学第一定理的理想条件下，一个自由市场系统，也称为“竞争均衡” ，对应一个帕累托有效的结果。经济学家肯尼斯·阿罗(Kenneth Arrow)和杰拉德·迪布鲁(Gérard Debreu)首先用数学方法证明了这一点。&lt;br /&gt;
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However, the result only holds under the restrictive assumptions necessary for the proof: markets exist for all possible goods, so there are no [[externality|externalities]]; all markets are in full equilibrium; markets are perfectly competitive; transaction costs are negligible; and market participants have [[perfect information]].&lt;br /&gt;
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However, the result only holds under the restrictive assumptions necessary for the proof: markets exist for all possible goods, so there are no externalities; all markets are in full equilibrium; markets are perfectly competitive; transaction costs are negligible; and market participants have perfect information.&lt;br /&gt;
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然而，这个结果只有在证明所需的限制性假设下才成立，即所有可能的商品都存在市场，因此不存在外部效应; 所有市场都处于完全均衡状态; 市场是完全竞争的; 交易成本是可忽略的; 市场参与者拥有完全的信息。&lt;br /&gt;
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In the absence of perfect information or complete markets, outcomes will generally be Pareto inefficient, per the [[Joseph Stiglitz#Information asymmetry|Greenwald-Stiglitz theorem]].&amp;lt;ref&amp;gt;{{Cite journal |doi=10.2307/1891114 |last1=Greenwald |first1=B. |last2=Stiglitz |first2=J. E. |author1-link=Bruce Greenwald |author2-link=Joseph E. Stiglitz |journal=Quarterly Journal of Economics |volume=101 |issue=2 |pages=229–64 |year=1986 |title=Externalities in economies with imperfect information and incomplete markets |jstor=1891114}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In the absence of perfect information or complete markets, outcomes will generally be Pareto inefficient, per the Greenwald-Stiglitz theorem.&lt;br /&gt;
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根据 Greenwald-Stiglitz 定理，在缺乏完全信息或完全市场的情况下，这个结果通常是帕累托低效的。&lt;br /&gt;
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The [[second welfare theorem]] is essentially the reverse of the first welfare-theorem. It states that under similar, ideal assumptions, any Pareto optimum can be obtained by some [[competitive equilibrium]], or [[free market]] system, although it may also require a [[lump-sum]] transfer of wealth.&amp;lt;ref name=&amp;quot;AndreuMas95&amp;quot;/&amp;gt;&lt;br /&gt;
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The second welfare theorem is essentially the reverse of the first welfare-theorem. It states that under similar, ideal assumptions, any Pareto optimum can be obtained by some competitive equilibrium, or free market system, although it may also require a lump-sum transfer of wealth.&lt;br /&gt;
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福利经济学第二定理实质上是福利经济学第一定理的逆转。它指出，在类似的理想假设下，任何帕累托最优都可以通过某种竞争均衡或自由市场制度获得，尽管它可能也需要一次性转移财富。&lt;br /&gt;
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== Weak Pareto efficiency{{anchor|weak}}  弱帕累托效率 ==d&lt;br /&gt;
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'''Weak Pareto optimality''' is a situation that cannot be strictly improved for ''every'' individual.&amp;lt;ref&amp;gt;{{Cite book | doi=10.1007/978-1-4020-9160-5_341|chapter = Pareto Optimality|title = Encyclopedia of Global Justice| pages=808–809|year = 2011|last1 = Mock|first1 = William B T.| isbn=978-1-4020-9159-9}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
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Weak Pareto optimality is a situation that cannot be strictly improved for every individual. &lt;br /&gt;
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弱帕累托最优是一种不能严格地改善每个个体的情况。&lt;br /&gt;
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Formally, we define a '''strong pareto improvement''' as a situation in which all agents are strictly better-off (in contrast to just &amp;quot;Pareto improvement&amp;quot;, which requires that one agent is strictly better-off and the other agents are at least as good).  A situation is '''weak Pareto-optimal''' if it has no strong Pareto-improvements.&lt;br /&gt;
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Formally, we define a strong pareto improvement as a situation in which all agents are strictly better-off (in contrast to just &amp;quot;Pareto improvement&amp;quot;, which requires that one agent is strictly better-off and the other agents are at least as good).  A situation is weak Pareto-optimal if it has no strong Pareto-improvements.&lt;br /&gt;
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在形式上，我们将强帕累托改善定义为所有主体严格处于较好状态的情况(与之相对的只是“帕累托改进” ，它要求一个主体严格处于较好状态，而其他主体至少同样良好)。没有强帕累托改进的情况是弱帕累托最优的。&lt;br /&gt;
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Any strong Pareto-improvement is also a weak Pareto-improvement. The opposite is not true; for example, consider a resource allocation problem with two resources, which Alice values at 10, 0 and George values at 5, 5. Consider the allocation giving all resources to Alice, where the utility profile is (10,0).&lt;br /&gt;
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Any strong Pareto-improvement is also a weak Pareto-improvement. The opposite is not true; for example, consider a resource allocation problem with two resources, which Alice values at 10, 0 and George values at 5, 5. Consider the allocation giving all resources to Alice, where the utility profile is (10,0).&lt;br /&gt;
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任何强帕累托改进也是弱帕累托改进。反之则不然; 例如，考虑一个包含两个资源的资源分配问题，Alice值为10,0，George值为5,5。考虑将所有资源分配给 Alice 的分配，它的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''为(10,0)。&lt;br /&gt;
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* It is a weak-PO, since no other allocation is strictly better to both agents (there are no strong Pareto improvements). &lt;br /&gt;
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* But it is not a strong-PO, since the allocation in which George gets the second resource is strictly better for George and weakly better for Alice (it is a weak Pareto improvement) - its utility profile is (10,5)&lt;br /&gt;
* 它是一个弱帕累托最优，因为没有其他任何分配对上述两个主体是更优的（没有强帕累托改进）。&lt;br /&gt;
* 但它不是一个强帕累托最优，因为这个George在其中得到第二顺位的资源的分配对George是严格更优的且对Alice是弱更优的（它是一个弱帕累托改进），它的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''为(10,5)&lt;br /&gt;
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A market doesn't require [[local nonsatiation]] to get to a weak Pareto-optimum.&amp;lt;ref&amp;gt;Markey‐Towler, Brendan and John Foster. &amp;quot;[http://www.uq.edu.au/economics/abstract/476.pdf Why economic theory has little to say about the causes and effects of inequality]&amp;quot;, School of Economics, [[University of Queensland]], Australia, 21 February 2013, RePEc:qld:uq2004:476&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A market doesn't require local nonsatiation to get to a weak Pareto-optimum.&lt;br /&gt;
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市场不需要局部不饱和就能达到弱的帕累托最优。&lt;br /&gt;
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== Constrained Pareto efficiency {{anchor|Constrained Pareto efficiency}}  受约束的帕累托效率 ==&lt;br /&gt;
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'''Constrained Pareto optimality''' is a weakening of Pareto-optimality, accounting for the fact that a potential planner (e.g., the government) may not be able to improve upon a decentralized market outcome, even if that outcome is inefficient. This will occur if it is limited by the same informational or institutional constraints as are individual agents.&amp;lt;ref&amp;gt;Magill, M., &amp;amp; [[Martine Quinzii|Quinzii, M.]], ''Theory of Incomplete Markets'', MIT Press, 2002, [https://books.google.com/books?id=d66GXq2F2M0C&amp;amp;pg=PA104#v=onepage&amp;amp;q&amp;amp;f=false p. 104].&amp;lt;/ref&amp;gt;{{rp|104}}&lt;br /&gt;
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Constrained Pareto optimality is a weakening of Pareto-optimality, accounting for the fact that a potential planner (e.g., the government) may not be able to improve upon a decentralized market outcome, even if that outcome is inefficient. This will occur if it is limited by the same informational or institutional constraints as are individual agents.&lt;br /&gt;
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受约束的帕累托最优是帕累托最优的弱化，因为一个潜在的规划者(比如政府)可能无法改善分散市场的结果，即使这个结果是低效的。如果它受到与独立主体相同的信息或机构约束的限制，就会发生这种情况。&lt;br /&gt;
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An example is of a setting where individuals have private information (for example, a labor market where the worker's own productivity is known to the worker but not to a potential employer, or a used-car market where the quality of a car is known to the seller but not to the buyer) which results in [[moral hazard]] or an [[adverse selection]] and a sub-optimal outcome. In such a case, a planner who wishes to improve the situation is unlikely to have access to any information that the participants in the markets do not have. Hence, the planner cannot implement allocation rules which are based on the idiosyncratic characteristics of individuals; for example, &amp;quot;if a person is of type A, they pay price p1, but if of type B, they pay price p2&amp;quot; (see [[Lindahl prices]]). Essentially, only anonymous rules are allowed (of the sort &amp;quot;Everyone pays price p&amp;quot;) or rules based on observable behavior; &amp;quot;if any person chooses x at price px, then they get a subsidy of ten dollars, and nothing otherwise&amp;quot;. If there exists no allowed rule that can successfully improve upon the market outcome, then that outcome is said to be &amp;quot;constrained Pareto-optimal&amp;quot;.&lt;br /&gt;
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An example is of a setting where individuals have private information (for example, a labor market where the worker's own productivity is known to the worker but not to a potential employer, or a used-car market where the quality of a car is known to the seller but not to the buyer) which results in moral hazard or an adverse selection and a sub-optimal outcome. In such a case, a planner who wishes to improve the situation is unlikely to have access to any information that the participants in the markets do not have. Hence, the planner cannot implement allocation rules which are based on the idiosyncratic characteristics of individuals; for example, &amp;quot;if a person is of type A, they pay price p1, but if of type B, they pay price p2&amp;quot; (see Lindahl prices). Essentially, only anonymous rules are allowed (of the sort &amp;quot;Everyone pays price p&amp;quot;) or rules based on observable behavior; &amp;quot;if any person chooses x at price px, then they get a subsidy of ten dollars, and nothing otherwise&amp;quot;. If there exists no allowed rule that can successfully improve upon the market outcome, then that outcome is said to be &amp;quot;constrained Pareto-optimal&amp;quot;.&lt;br /&gt;
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例如，个人拥有私人信息的情况(例如，劳动力市场中工人自己的生产率为工人所知，而潜在雇主却不知道，或者二手车市场中汽车的质量为卖方所知，而非买方所知)导致道德风险或逆向选择和次优结果。在这种情况下，希望改善局面的规划者不太可能获得市场参与者没有的任何信息。因此，计划者不能执行基于个人特质的分配规则; 例如，”如果一个人属于 a 型，他们支付 p1的价格，但如果属于 b 型，他们支付 p2的价格”(见林达尔价格)。基本上，只有隐性规则(类似于“每个人都支付价格 p”)或基于可观察行为的规则被允许; “如果任何人以价格 px 选择 x，那么他们将得到10美元的补贴，除此之外什么也得不到”。如果不存在能够成功改善市场结果的允许规则，那么该结果被称为是“受约束的帕累托最优的”。&lt;br /&gt;
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The concept of constrained Pareto optimality assumes benevolence on the part of the planner and hence is distinct from the concept of [[government failure]], which occurs when the policy making politicians fail to achieve an optimal outcome simply because they are not necessarily acting in the public's best interest.&lt;br /&gt;
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The concept of constrained Pareto optimality assumes benevolence on the part of the planner and hence is distinct from the concept of government failure, which occurs when the policy making politicians fail to achieve an optimal outcome simply because they are not necessarily acting in the public's best interest.&lt;br /&gt;
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受约束的帕累托最优的概念假定了计划者的仁慈，因此不同于政府失灵的概念。政府失灵在制定政策的政客仅仅因为他们的行为不一定符合公众的最佳利益而未能取得最佳结果时会出现。&lt;br /&gt;
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== Fractional Pareto efficiency{{anchor|fractional}}  部分帕累托效率 ==&lt;br /&gt;
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'''Fractional Pareto optimality''' is a strengthening of Pareto-optimality in the context of [[fair item allocation]]. An allocation of indivisible items is '''fractionally Pareto-optimal (fPO)''' if it is not Pareto-dominated even by an allocation in which some items are split between agents. This is in contrast to standard Pareto-optimality, which only considers domination by feasible (discrete) allocations.&amp;lt;ref&amp;gt;Barman, S., Krishnamurthy, S. K., &amp;amp; Vaish, R., [https://arxiv.org/pdf/1707.04731.pdf &amp;quot;Finding Fair and Efficient Allocations&amp;quot;], ''EC '18: Proceedings of the 2018 ACM Conference on Economics and Computation'', June 2018.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Fractional Pareto optimality is a strengthening of Pareto-optimality in the context of fair item allocation. An allocation of indivisible items is fractionally Pareto-optimal (fPO) if it is not Pareto-dominated even by an allocation in which some items are split between agents. This is in contrast to standard Pareto-optimality, which only considers domination by feasible (discrete) allocations.&lt;br /&gt;
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部分帕累托最优是在物品公平分配的背景下对帕累托最优的一个加强。 即使是在一个分配过程中，一些物品在主体之间被分配，如果一个不可分割的物品的分配不是受帕累托支配的，那么它不是部分帕累托最优(fPO)。这与标准的帕累托最优相反，因为它只考虑可行(离散)分配的控制。&lt;br /&gt;
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As an example, consider an item allocation problem with two items, which Alice values at 3, 2 and George values at 4, 1. Consider the allocation giving the first item to Alice and the second to George, where the utility profile is (3,1).&lt;br /&gt;
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As an example, consider an item allocation problem with two items, which Alice values at 3, 2 and George values at 4, 1. Consider the allocation giving the first item to Alice and the second to George, where the utility profile is (3,1).&lt;br /&gt;
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作为一个示例，考虑一个有两个项的项分配问题，Alice 值为3,2，George 值为4,1。考虑将第一个项目分配给 Alice，第二个项目分配给 George，其中'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''为(3,1)。&lt;br /&gt;
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* It is Pareto-optimal, since any other discrete allocation (without splitting items) makes someone worse-off. &lt;br /&gt;
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* However, it is not fractionally-Pareto-optimal, since it is Pareto-dominated by the allocation giving to Alice 1/2 of the first item and the whole second item, and the other 1/2 of the first item to George - its utility profile is (3.5, 2).&lt;br /&gt;
* 它是一个帕累托最优，因为其他任何离散分配（在不分离物品的情况下）都会使得某个主体变差。&lt;br /&gt;
* 但是，它不是部分帕累托最优的，因为它是受该分配帕累托支配的。它分配给了Alice第一个资源的一半和第二个资源的全部，分配给了George第一个资源的一半。它的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;分配方案&amp;lt;/font&amp;gt;'''是(3.5,2)。&lt;br /&gt;
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== Pareto-efficiency and welfare-maximization 帕累托效率和福利最大化==&lt;br /&gt;
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{{See also|Pareto-efficient envy-free division 同见帕累托效率与无嫉妒分割}}&lt;br /&gt;
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Suppose each agent ''i'' is assigned a positive weight ''a&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;''. For every allocation ''x'', define the ''welfare'' of ''x'' as the weighted sum of utilities of all agents in ''x'', i.e.:&lt;br /&gt;
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Suppose each agent i is assigned a positive weight a&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;. For every allocation x, define the welfare of x as the weighted sum of utilities of all agents in x, i.e.:&lt;br /&gt;
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假设每个主体 ''i'' 被赋予一个正权重。对于每个分配 ''x'' ，将 ''x'' 的福利定义为 ''x'' 中所有主体的配置的加权和，即。:&lt;br /&gt;
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&amp;lt;math&amp;gt;W_a(x) := \sum_{i=1}^n a_i u_i(x)&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Let ''x&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;'' be an allocation that maximizes the welfare over all allocations, i.e.:&lt;br /&gt;
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假设是一个在所有分配中使福利最大化的分配，即:&lt;br /&gt;
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&amp;lt;math&amp;gt;x_a \in \arg \max_{x} W_a(x)&amp;lt;/math&amp;gt;.&lt;br /&gt;
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It is easy to show that the allocation ''x&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;'' is Pareto-efficient: since all weights are positive, any Pareto-improvement would increase the sum, contradicting the definition of ''x&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
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很容易证明分配是帕累托有效的: 因为所有'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的权重都是正的，任何帕累托改进都会增加加权和，这与'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的定义相矛盾。&lt;br /&gt;
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Japanese neo-[[Léon_Walras#General_equilibrium_theory|Walrasian]] economist [[Takashi Negishi]] proved&amp;lt;ref&amp;gt;{{cite journal |last=Negishi |first=Takashi |date=1960 |title=Welfare Economics and Existence of an Equilibrium for a Competitive Economy |journal=Metroeconomica |volume=12 |issue=2–3 |pages=92–97 |doi=10.1111/j.1467-999X.1960.tb00275.x }}&amp;lt;/ref&amp;gt; that, under certain assumptions, the opposite is also true: for ''every'' Pareto-efficient allocation ''x'', there exists a positive vector ''a'' such that ''x'' maximizes ''W''&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;. A shorter proof is provided by [[Hal Varian]].&amp;lt;ref&amp;gt;{{cite journal |doi=10.1016/0047-2727(76)90018-9 |title=Two problems in the theory of fairness |journal=Journal of Public Economics |volume=5 |issue=3–4 |pages=249–260 |year=1976 |last1=Varian |first1=Hal R. |hdl=1721.1/64180 |hdl-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Japanese neo-Walrasian economist Takashi Negishi proved that, under certain assumptions, the opposite is also true: for every Pareto-efficient allocation x, there exists a positive vector a such that x maximizes W&amp;lt;sub&amp;gt;a&amp;lt;/sub&amp;gt;. A shorter proof is provided by Hal Varian.&lt;br /&gt;
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日本新瓦尔拉斯经济学家根岸隆史(Takashi Negishi)证明，在某些假设下,该命题的逆命题也成立，即对于每一个帕累托有效配置''x''，都存在一个正向量''a''，使最大化。哈尔·瓦里安提供了一个较短的证明。&lt;br /&gt;
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== Use in engineering  工程学上的应用==&lt;br /&gt;
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The notion of Pareto efficiency has been used in engineering.&amp;lt;ref&amp;gt;Goodarzi, E., Ziaei, M., &amp;amp; Hosseinipour, E. Z., ''Introduction to Optimization Analysis in Hydrosystem Engineering'' ([[Berlin]]/[[Heidelberg]]: [[Springer Science+Business Media|Springer]], 2014), [https://books.google.com/books?id=WjS8BAAAQBAJ&amp;amp;pg=PT111 pp. 111–148].&amp;lt;/ref&amp;gt;{{rp|111–148}} Given a set of choices and a way of valuing them, the '''Pareto frontier''' or '''Pareto set''' or '''Pareto front''' is the set of choices that are Pareto efficient. By restricting attention to the set of choices that are Pareto-efficient, a designer can make [[Trade-off|tradeoffs]] within this set, rather than considering the full range of every parameter.&amp;lt;ref&amp;gt;Jahan, A., Edwards, K. L., &amp;amp; Bahraminasab, M., ''Multi-criteria Decision Analysis'', 2nd ed. ([[Amsterdam]]: [[Elsevier]], 2013), [https://books.google.com/books?id=3mreBgAAQBAJ&amp;amp;pg=PA63 pp. 63–65].&amp;lt;/ref&amp;gt;{{rp|63–65}}&lt;br /&gt;
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The notion of Pareto efficiency has been used in engineering. Given a set of choices and a way of valuing them, the Pareto frontier or Pareto set or Pareto front is the set of choices that are Pareto efficient. By restricting attention to the set of choices that are Pareto-efficient, a designer can make tradeoffs within this set, rather than considering the full range of every parameter.&lt;br /&gt;
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帕累托最优的概念已经在工程中得到了应用。给定一组选择和一种评估它们的方法，帕累托边界、帕累托解集或帕累托前沿就是帕累托有效的选择集。通过将注意力限制在帕累托有效的选择集上，设计者可以在这个集合中进行权衡，而不是考虑每个参数的全部范围。&lt;br /&gt;
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[[File:Front pareto.svg|thumb|300px|Example of a Pareto frontier. The boxed points represent feasible choices, and smaller values are preferred to larger ones. Point ''C'' is not on the Pareto frontier because it is dominated by both point ''A'' and point ''B''. Points ''A'' and ''B'' are not strictly dominated by any other, and hence lie on the frontier.]] &lt;br /&gt;
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Example of a Pareto frontier. The boxed points represent feasible choices, and smaller values are preferred to larger ones. Point C is not on the Pareto frontier because it is dominated by both point A and point B. Points A and B are not strictly dominated by any other, and hence lie on the frontier. &lt;br /&gt;
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帕累托边界的例子。集合中的点表示可行的选择，较小的值比较大的值更好。点''C''不在帕累托边界上，因为它同时被点 ''A'' 和点 ''B'' 支配。点''A''和点''B''不受任何其他点严格控制，因此位于边界上。&lt;br /&gt;
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[[File:Pareto Efficient Frontier 1024x1024.png|thumb|256px|A [[production-possibility frontier]]. The red line is an example of a Pareto-efficient frontier, where the frontier and the area left and below it are a continuous set of choices. The red points on the frontier are examples of Pareto-optimal choices of production. Points off the frontier, such as N and K, are not Pareto-efficient, since there exist points on the frontier which Pareto-dominate them.]]&lt;br /&gt;
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A [[production-possibility frontier. The red line is an example of a Pareto-efficient frontier, where the frontier and the area left and below it are a continuous set of choices. The red points on the frontier are examples of Pareto-optimal choices of production. Points off the frontier, such as N and K, are not Pareto-efficient, since there exist points on the frontier which Pareto-dominate them.]]&lt;br /&gt;
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生产可能性边界。红线是帕累托有效边界的一个例子，边界和左下方的区域是一个连续的选择集。边界上的红点是生产的帕累托最优选择的例子。边界外的点，如 ''N'' 和''K''，不是帕累托有效率，因为在边界上存在着受帕累托支配的点&lt;br /&gt;
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=== Pareto frontier  帕累托边界 ===&lt;br /&gt;
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For a given system, the '''Pareto frontier''' or '''Pareto set''' is the set of parameterizations (allocations) that are all Pareto efficient. Finding Pareto frontiers is particularly useful in engineering. By yielding all of the potentially optimal solutions, a designer can make focused [[Trade-off|tradeoffs]] within this constrained set of parameters, rather than needing to consider the full ranges of parameters.&amp;lt;ref&amp;gt;Costa, N. R., &amp;amp; Lourenço, J. A., &amp;quot;Exploring Pareto Frontiers in the Response Surface Methodology&amp;quot;, in G.-C. Yang, S.-I. Ao, &amp;amp; L. Gelman, eds., ''Transactions on Engineering Technologies: World Congress on Engineering 2014'' (Berlin/Heidelberg: Springer, 2015), [https://books.google.com/books?id=eMElCQAAQBAJ&amp;amp;pg=PA398 pp. 399–412].&amp;lt;/ref&amp;gt;{{rp|399–412}}&lt;br /&gt;
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For a given system, the Pareto frontier or Pareto set is the set of parameterizations (allocations) that are all Pareto efficient. Finding Pareto frontiers is particularly useful in engineering. By yielding all of the potentially optimal solutions, a designer can make focused tradeoffs within this constrained set of parameters, rather than needing to consider the full ranges of parameters.&lt;br /&gt;
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对于一个给定的系统，帕累托边界或帕累托集是所有帕累托有效的参数化(分配)的集合。找到帕累托前沿在工程学中特别有用。通过产生所有潜在的最优解决方案，设计师可以在这个受限的参数集中进行集中的权衡，而不需要考虑所有的参数。&lt;br /&gt;
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The Pareto frontier, ''P''(''Y''), may be more formally described as follows. Consider a system with function &amp;lt;math&amp;gt;f: \mathbb{R}^n \rightarrow \mathbb{R}^m&amp;lt;/math&amp;gt;, where ''X'' is a [[compact space|compact set]] of feasible decisions in the [[metric space]] &amp;lt;math&amp;gt;\mathbb{R}^n&amp;lt;/math&amp;gt;, and ''Y'' is the feasible set of criterion vectors in &amp;lt;math&amp;gt;\mathbb{R}^m&amp;lt;/math&amp;gt;, such that &amp;lt;math&amp;gt;Y = \{ y \in \mathbb{R}^m:\; y = f(x), x \in X\;\}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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The Pareto frontier, P(Y), may be more formally described as follows. Consider a system with function &amp;lt;math&amp;gt;f: \mathbb{R}^n \rightarrow \mathbb{R}^m&amp;lt;/math&amp;gt;, where X is a compact set of feasible decisions in the metric space &amp;lt;math&amp;gt;\mathbb{R}^n&amp;lt;/math&amp;gt;, and Y is the feasible set of criterion vectors in &amp;lt;math&amp;gt;\mathbb{R}^m&amp;lt;/math&amp;gt;, such that &amp;lt;math&amp;gt;Y = \{ y \in \mathbb{R}^m:\; y = f(x), x \in X\;\}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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帕累托边界, ''P''(''Y'') ，可以更正式地描述如下。考虑一个包含函数'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的系统，其中''X''是度量空间'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''中可行决策的紧集，''Y''是'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''中标准向量的可行集，使得'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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We assume that the preferred directions of criteria values are known. A point &amp;lt;math&amp;gt;y^{\prime\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt; is preferred to (strictly dominates) another point &amp;lt;math&amp;gt;y^{\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt;, written as &amp;lt;math&amp;gt;y^{\prime\prime} \succ y^{\prime}&amp;lt;/math&amp;gt;. The Pareto frontier is thus written as:&lt;br /&gt;
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We assume that the preferred directions of criteria values are known. A point &amp;lt;math&amp;gt;y^{\prime\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt; is preferred to (strictly dominates) another point &amp;lt;math&amp;gt;y^{\prime} \in \mathbb{R}^m&amp;lt;/math&amp;gt;, written as &amp;lt;math&amp;gt;y^{\prime\prime} \succ y^{\prime}&amp;lt;/math&amp;gt;. The Pareto frontier is thus written as:&lt;br /&gt;
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我们假设标准值的最优方向是已知的。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''中的一个点'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''优于中的另一个点'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''，写作'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。因此，帕累托边界可以被描述为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;P(Y) = \{ y^\prime \in Y: \; \{y^{\prime\prime} \in Y:\; y^{\prime\prime} \succ y^{\prime}, y^\prime \neq y^{\prime\prime} \; \} = \empty \}. &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;P(Y) = \{ y^\prime \in Y: \; \{y^{\prime\prime} \in Y:\; y^{\prime\prime} \succ y^{\prime}, y^\prime \neq y^{\prime\prime} \; \} = \empty \}. &amp;lt;/math&amp;gt;&lt;br /&gt;
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=== Marginal rate of substitution  边际替代率 ===&lt;br /&gt;
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A significant aspect of the Pareto frontier in economics is that, at a Pareto-efficient allocation, the [[marginal rate of substitution]] is the same for all consumers.  A formal statement can be derived by considering a system with ''m'' consumers and ''n'' goods, and a utility function of each consumer as &amp;lt;math&amp;gt;z_i=f^i(x^i)&amp;lt;/math&amp;gt; where &amp;lt;math&amp;gt;x^i=(x_1^i, x_2^i, \ldots, x_n^i)&amp;lt;/math&amp;gt; is the vector of goods, both for all ''i''. The feasibility constraint is &amp;lt;math&amp;gt;\sum_{i=1}^m x_j^i = b_j&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt;. To find the Pareto optimal allocation, we maximize the [[Lagrangian mechanics|Lagrangian]]:&lt;br /&gt;
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A significant aspect of the Pareto frontier in economics is that, at a Pareto-efficient allocation, the marginal rate of substitution is the same for all consumers.  A formal statement can be derived by considering a system with m consumers and n goods, and a utility function of each consumer as &amp;lt;math&amp;gt;z_i=f^i(x^i)&amp;lt;/math&amp;gt; where &amp;lt;math&amp;gt;x^i=(x_1^i, x_2^i, \ldots, x_n^i)&amp;lt;/math&amp;gt; is the vector of goods, both for all i. The feasibility constraint is &amp;lt;math&amp;gt;\sum_{i=1}^m x_j^i = b_j&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt;. To find the Pareto optimal allocation, we maximize the Lagrangian:&lt;br /&gt;
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经济学中，帕累托边界的一个重要方面是，在帕累托有效分配中，所有消费者的边际替代率是相同的。一个正式的陈述可以通过考虑一个有''m''个消费者和''n''个商品的系统，以及每个消费者的效用函数'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''来推导出。在这个效用方程中，对所有的''i''，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''是商品的矢量。可行性约束为'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。为了找到帕累托最优分配，我们最大化拉格朗日函数:&lt;br /&gt;
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: &amp;lt;math&amp;gt;L_i((x_j^k)_{k,j}, (\lambda_k)_k, (\mu_j)_j)=f^i(x^i)+\sum_{k=2}^m \lambda_k(z_k- f^k(x^k))+\sum_{j=1}^n \mu_j \left( b_j-\sum_{k=1}^m x_j^k \right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;L_i((x_j^k)_{k,j}, (\lambda_k)_k, (\mu_j)_j)=f^i(x^i)+\sum_{k=2}^m \lambda_k(z_k- f^k(x^k))+\sum_{j=1}^n \mu_j \left( b_j-\sum_{k=1}^m x_j^k \right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;(\lambda_k)_k&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;(\mu_j)_j&amp;lt;/math&amp;gt; are the vectors of multipliers. Taking the partial derivative of the Lagrangian with respect to each good &amp;lt;math&amp;gt;x_j^k&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;k=1,\ldots, m&amp;lt;/math&amp;gt; and gives the following system of first-order conditions:&lt;br /&gt;
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where &amp;lt;math&amp;gt;(\lambda_k)_k&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;(\mu_j)_j&amp;lt;/math&amp;gt; are the vectors of multipliers. Taking the partial derivative of the Lagrangian with respect to each good &amp;lt;math&amp;gt;x_j^k&amp;lt;/math&amp;gt; for &amp;lt;math&amp;gt;j=1,\ldots,n&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;k=1,\ldots, m&amp;lt;/math&amp;gt; and gives the following system of first-order conditions:&lt;br /&gt;
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其中'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''是乘子的向量。采用关于商品的拉格朗日函数的偏导数，其中，并给出以下一阶条件系统:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^i} = f_{x^i_j}^1-\mu_j=0\text{ for }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^i} = f_{x^i_j}^1-\mu_j=0\text{ for }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
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1，ldots，n，math&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^k} = -\lambda_k f_{x^k_j}^i-\mu_j=0 \text{ for }k= 2,\ldots,m \text{ and }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{\partial L_i}{\partial x_j^k} = -\lambda_k f_{x^k_j}^i-\mu_j=0 \text{ for }k= 2,\ldots,m \text{ and }j=1,\ldots,n,&amp;lt;/math&amp;gt;&lt;br /&gt;
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2，ldots，m  text { and }1，ldots，n，/ math&lt;br /&gt;
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where &amp;lt;math&amp;gt;f_{x^i_j}&amp;lt;/math&amp;gt; denotes the partial derivative of &amp;lt;math&amp;gt;f&amp;lt;/math&amp;gt; with respect to &amp;lt;math&amp;gt;x_j^i&amp;lt;/math&amp;gt;. Now, fix any &amp;lt;math&amp;gt;k\neq i&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;j,s\in \{1,\ldots,n\}&amp;lt;/math&amp;gt;. The above first-order condition imply that&lt;br /&gt;
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where &amp;lt;math&amp;gt;f_{x^i_j}&amp;lt;/math&amp;gt; denotes the partial derivative of &amp;lt;math&amp;gt;f&amp;lt;/math&amp;gt; with respect to &amp;lt;math&amp;gt;x_j^i&amp;lt;/math&amp;gt;. Now, fix any &amp;lt;math&amp;gt;k\neq i&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;j,s\in \{1,\ldots,n\}&amp;lt;/math&amp;gt;. The above first-order condition imply that&lt;br /&gt;
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其中'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''表示'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''的偏导数。现给定'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;此处需插入公式&amp;lt;/font&amp;gt;'''。上述一阶条件意味着&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{f_{x_j^i}^i}{f_{x_s^i}^i}=\frac{\mu_j}{\mu_s}=\frac{f_{x_j^k}^k}{f_{x_s^k}^k}.&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{f_{x_j^i}^i}{f_{x_s^i}^i}=\frac{\mu_j}{\mu_s}=\frac{f_{x_j^k}^k}{f_{x_s^k}^k}.&amp;lt;/math&amp;gt;&lt;br /&gt;
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Math  frac { x ^ i } i }{ x s ^ i }} frac { mu s } f { x ^ k } ^ k } . / math&lt;br /&gt;
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Thus, in a Pareto-optimal allocation, the marginal rate of substitution must be the same for all consumers.&amp;lt;ref&amp;gt;Wilkerson, T., ''Advanced Economic Theory'' ([[Waltham Abbey]]: Edtech Press, 2018), [https://books.google.com/books?id=UtW_DwAAQBAJ&amp;amp;pg=PA114 p. 114].&amp;lt;/ref&amp;gt;{{rp|114}}&lt;br /&gt;
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Thus, in a Pareto-optimal allocation, the marginal rate of substitution must be the same for all consumers.&lt;br /&gt;
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因此，在帕累托最优分配中，所有消费者的边际替代率必须相同。&lt;br /&gt;
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=== Computation  计算===&lt;br /&gt;
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[[Algorithm]]s for computing the Pareto frontier of a finite set of alternatives have been studied in [[computer science]] and power engineering.&amp;lt;ref&amp;gt;{{cite journal |doi=10.3390/en6031439 |last1=Tomoiagă |first1=Bogdan |last2=Chindriş |first2=Mircea |last3=Sumper |first3=Andreas |last4=Sudria-Andreu |first4=Antoni |last5=Villafafila-Robles |first5=Roberto |title=Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II |journal=Energies |year=2013 |volume=6 |issue=3 |pages=1439–55 |doi-access=free }}&amp;lt;/ref&amp;gt; They include:&lt;br /&gt;
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Algorithms for computing the Pareto frontier of a finite set of alternatives have been studied in computer science and power engineering. They include:&lt;br /&gt;
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计算机科学和动力工程给出了计算有限个方案集的帕累托边界的算法。它们包括:&lt;br /&gt;
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* &amp;quot;The maximum vector problem&amp;quot; or the [[Skyline operator|skyline query]].&amp;lt;ref&amp;gt;{{cite journal |doi=10.1016/0020-0190(96)00116-0 |last1=Nielsen |first1=Frank |title=Output-sensitive peeling of convex and maximal layers |journal=Information Processing Letters |volume=59 |pages=255–9 |year=1996 |issue=5 |citeseerx=10.1.1.259.1042 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal |doi=10.1145/321906.321910 |last1=Kung |first1=H. T. |last2=Luccio |first2=F. |last3=Preparata |first3=F.P. |title=On finding the maxima of a set of vectors |journal=Journal of the ACM |volume=22 |pages=469–76 |year=1975 |issue=4 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal |doi=10.1007/s00778-006-0029-7 |last1=Godfrey |first1=P. |last2=Shipley |first2=R. |last3=Gryz |first3=J. |journal=VLDB Journal |volume=16 |pages=5–28 |year=2006 |title=Algorithms and Analyses for Maximal Vector Computation |citeseerx=10.1.1.73.6344 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
* “最大向量问题”，或称轮廓查询。&lt;br /&gt;
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* &amp;quot;The scalarization algorithm&amp;quot; or the method of weighted sums.&amp;lt;ref name=&amp;quot;Kimde Weck2005&amp;quot;&amp;gt;{{cite journal|last1=Kim|first1=I. Y.|last2=de Weck|first2=O. L.|title=Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation|journal=Structural and Multidisciplinary Optimization|volume=31|issue=2|year=2005|pages=105–116|issn=1615-147X|doi=10.1007/s00158-005-0557-6}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;MarlerArora2009&amp;quot;&amp;gt;{{cite journal|last1=Marler|first1=R. Timothy|last2=Arora|first2=Jasbir S.|title=The weighted sum method for multi-objective optimization: new insights|journal=Structural and Multidisciplinary Optimization|volume=41|issue=6|year=2009|pages=853–862|issn=1615-147X|doi=10.1007/s00158-009-0460-7}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
* “标量化算法”，或称加权求和法。&lt;br /&gt;
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* &amp;quot;The &amp;lt;math&amp;gt;\epsilon&amp;lt;/math&amp;gt;-constraints method&amp;quot;.&amp;lt;ref&amp;gt;{{cite journal|title=On a Bicriterion Formulation of the Problems of Integrated System Identification and System Optimization|journal=IEEE Transactions on Systems, Man, and Cybernetics|volume=SMC-1|issue=3|year=1971|pages=296–297|issn=0018-9472|doi=10.1109/TSMC.1971.4308298}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Mavrotas2009&amp;quot;&amp;gt;{{cite journal|last1=Mavrotas|first1=George|title=Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems|journal=Applied Mathematics and Computation|volume=213|issue=2|year=2009|pages=455–465|issn=00963003|doi=10.1016/j.amc.2009.03.037}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
* “ϵ-约束法”。&lt;br /&gt;
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== Use in biology  在生物学中的应用==&lt;br /&gt;
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Pareto optimisation has also been studied in biological processes.&amp;lt;ref&amp;gt;Moore, J. H., Hill, D. P., Sulovari, A., &amp;amp; Kidd, L. C., &amp;quot;Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing&amp;quot;, in R. Riolo, E. Vladislavleva, M. D. Ritchie, &amp;amp; J. H. Moore, eds., ''Genetic Programming Theory and Practice X'' (Berlin/Heidelberg: Springer, 2013), [https://books.google.co.il/books?id=YZZAAAAAQBAJ&amp;amp;pg=PA86 pp. 87–102].&amp;lt;/ref&amp;gt;{{rp|87–102}} In bacteria, genes were shown to be either inexpensive to make (resource efficient) or easier to read (translation efficient). Natural selection acts to push highly expressed genes towards the Pareto frontier for resource use and translational efficiency. Genes near the Pareto frontier were also shown to evolve more slowly (indicating that they are providing a selective advantage).&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1186/s13059-018-1480-7|pmid=30064467|last1=Seward|first1=Emily A. |last2=Kelly|first2=Steven|title=Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria.|journal=Genome Biology|volume=19|issue=1|pages=102|year=2018|pmc=6066932}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Pareto optimisation has also been studied in biological processes. In bacteria, genes were shown to be either inexpensive to make (resource efficient) or easier to read (translation efficient). Natural selection acts to push highly expressed genes towards the Pareto frontier for resource use and translational efficiency. Genes near the Pareto frontier were also shown to evolve more slowly (indicating that they are providing a selective advantage).&lt;br /&gt;
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帕累托最优化在生物过程中也有研究。在细菌中，基因要么生成成本低廉(资源节约型) ，要么更容易被读取(翻译效率型)。自然选择将高表达的基因推向资源利用和翻译效率的帕累托边界。帕累托边界附近基因的进化速度也较慢(这表明它们提供了一种选择优势)。&lt;br /&gt;
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== Criticism  批判 ==&lt;br /&gt;
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It would be incorrect to treat Pareto efficiency as equivalent to societal optimization,&amp;lt;ref&amp;gt;[[Jacques Drèze|Drèze, J.]], ''Essays on Economic Decisions Under Uncertainty'' ([[Cambridge]]: [[Cambridge University Press]], 1987), [https://books.google.com/books?id=LWE4AAAAIAAJ&amp;amp;pg=PA358 pp. 358–364]&amp;lt;/ref&amp;gt;{{rp|358–364}} as the latter is a [[normative]] concept that is a matter of interpretation that typically would account for the consequence of degrees of inequality of distribution.&amp;lt;ref&amp;gt;Backhaus, J. G., ''The Elgar Companion to Law and Economics'' ([[Cheltenham|Cheltenham, UK]] / [[Northampton, MA]]: [[Edward Elgar Publishing|Edward Elgar]], 2005), [https://books.google.com/books?id=EtguKoWHUHYC&amp;amp;lpg=PP1&amp;amp;hl=de&amp;amp;pg=PA10 pp. 10–15].&amp;lt;/ref&amp;gt;{{rp|10–15}} An example would be the interpretation of one school district with low property tax revenue versus another with much higher revenue as a sign that more equal distribution occurs with the help of government redistribution.&amp;lt;ref&amp;gt;Paulsen, M. B., &amp;quot;The Economics of the Public Sector: The Nature and Role of Public Policy in the Finance of Higher Education&amp;quot;, in M. B. Paulsen, J. C. Smart, eds. ''The Finance of Higher Education: Theory, Research, Policy, and Practice'' (New York: Agathon Press, 2001), [https://books.google.com/books?id=BlkPAy-gb8sC&amp;amp;pg=PA95 pp. 95–132].&amp;lt;/ref&amp;gt;{{rp|95–132}}&lt;br /&gt;
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It would be incorrect to treat Pareto efficiency as equivalent to societal optimization, as the latter is a normative concept that is a matter of interpretation that typically would account for the consequence of degrees of inequality of distribution. An example would be the interpretation of one school district with low property tax revenue versus another with much higher revenue as a sign that more equal distribution occurs with the help of government redistribution.&lt;br /&gt;
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把帕累托最优等同于社会优化是不正确的，因为后者是一个规范性概念，是一个典型的解释问题，可以解释分配不平等程度的后果。一个例子就是对一个财产税收入较低的学区和另一个财政收入较高的学区的解释，这表明在政府再分配的帮助下实现了更加平等的分配。&lt;br /&gt;
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Pareto efficiency does not require a totally equitable distribution of wealth.&amp;lt;ref&amp;gt;Bhushi, K., ed., ''Farm to Fingers: The Culture and Politics of Food in Contemporary India'' (Cambridge: Cambridge University Press, 2018), [https://books.google.com/books?id=NYJIDwAAQBAJ&amp;amp;pg=PA222 p. 222].&amp;lt;/ref&amp;gt;{{rp|222}} An economy in which a wealthy few hold the [[Wealth condensation|vast majority of resources]] can be Pareto efficient. This possibility is inherent in the definition of Pareto efficiency; often the [[status quo]] is Pareto efficient regardless of the degree to which wealth is equitably distributed. A simple example is the distribution of a pie among three people. The most equitable distribution would assign one third to each person. However the assignment of, say, a half section to each of two individuals and none to the third is also Pareto optimal despite not being equitable, because none of the recipients could be made better off without decreasing someone else's share; and there are many other such distribution examples. An example of a Pareto inefficient distribution of the pie would be allocation of a quarter of the pie to each of the three, with the remainder discarded.&amp;lt;ref&amp;gt;Wittman, D., ''Economic Foundations of Law and Organization'' (Cambridge: Cambridge University Press, 2006), [https://books.google.com/books?id=fOolQOtKM7QC&amp;amp;pg=PA18 p. 18].&amp;lt;/ref&amp;gt;{{rp|18}} The origin (and utility value) of the pie is conceived as immaterial in these examples. In such cases, whereby a &amp;quot;windfall&amp;quot; is gained that none of the potential distributees actually produced (e.g., land, inherited wealth, a portion of the broadcast spectrum, or some other resource), the criterion of Pareto efficiency does not determine a unique optimal allocation. Wealth consolidation may exclude others from wealth accumulation because of bars to market entry, etc.&lt;br /&gt;
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Pareto efficiency does not require a totally equitable distribution of wealth. An economy in which a wealthy few hold the vast majority of resources can be Pareto efficient. This possibility is inherent in the definition of Pareto efficiency; often the status quo is Pareto efficient regardless of the degree to which wealth is equitably distributed. A simple example is the distribution of a pie among three people. The most equitable distribution would assign one third to each person. However the assignment of, say, a half section to each of two individuals and none to the third is also Pareto optimal despite not being equitable, because none of the recipients could be made better off without decreasing someone else's share; and there are many other such distribution examples. An example of a Pareto inefficient distribution of the pie would be allocation of a quarter of the pie to each of the three, with the remainder discarded. The origin (and utility value) of the pie is conceived as immaterial in these examples. In such cases, whereby a &amp;quot;windfall&amp;quot; is gained that none of the potential distributees actually produced (e.g., land, inherited wealth, a portion of the broadcast spectrum, or some other resource), the criterion of Pareto efficiency does not determine a unique optimal allocation. Wealth consolidation may exclude others from wealth accumulation because of bars to market entry, etc.&lt;br /&gt;
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帕累托最优并不需要完全公平的财富分配。一个少数富人拥有绝大多数资源的经济体系可以是帕累托有效的。这种可能性是帕累托最优的固有定义; 通常情况下，无论财富的公平分配程度如何，现状都是帕累托有效的。一个简单的例子是在三个人之间分配馅饼。最公平的分配将分配给每个人三分之一。--[[用户:粲兰|袁一博]]（[[用户讨论:粲兰|讨论]]）  &lt;br /&gt;
另一种分配是两个人各占半部分，第三个人不占分毫。然而，尽管这种分配并不公平，它也是帕累托最优的，因为没有一个受者能够在不减少其他人的份额的情况下得到更优的收益; 还有其他许多这样的分配例子。帕累托无效率的馅饼分配的一个例子是三者中的每一个分得馅饼的四分之一，剩下的部分丢弃。在这些示例中，馅饼的缘由(和实用价值)被认为是无关紧要的。在这种情况下，由于潜在的分配者都没有实际生产，却获得了“意外之财”(例如，土地、继承的财产、广播频谱的一部分或其他资源) ，帕累托最优的标准并不能决定唯一的一个最优分配。由于市场准入门槛等原因，财产整合可能会将他者排除在财产积累之外。&lt;br /&gt;
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The [[liberal paradox]] elaborated by [[Amartya Sen]] shows that when people have preferences about what other people do, the goal of Pareto efficiency can come into conflict with the goal of individual liberty.&amp;lt;ref&amp;gt;Sen, A., ''Rationality and Freedom'' ([[Cambridge, Massachusetts|Cambridge, MA]] / London: [[Harvard University Press|Belknep Press]], 2004), [https://books.google.cz/books?id=DaOY4DQ-MKAC&amp;amp;pg=PA92 pp. 92–94].&amp;lt;/ref&amp;gt;{{rp|92–94}}&lt;br /&gt;
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The liberal paradox elaborated by Amartya Sen shows that when people have preferences about what other people do, the goal of Pareto efficiency can come into conflict with the goal of individual liberty.&lt;br /&gt;
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阿马蒂亚·森(Amartya Sen)阐述的自由主义悖论表明，当人们对他人的行为有偏好时，帕累托最优的目标可能与个人自由的目标发生冲突。&lt;br /&gt;
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==See also  请参阅 ==&lt;br /&gt;
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* [[Admissible decision rule]], analog in [[decision theory]]  可容许决策规则，决策理论中的类比&lt;br /&gt;
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* [[Arrow's impossibility theorem]]  阿罗不可能定理&lt;br /&gt;
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* [[Bayesian efficiency]]  贝叶斯效率&lt;br /&gt;
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* [[Fundamental theorems of welfare economics]]  福利经济学基本定理&lt;br /&gt;
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* [[Deadweight loss]]  无谓损失&lt;br /&gt;
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* [[Economic efficiency]]  经济效益&lt;br /&gt;
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* [[Highest and best use]]  最佳使用&lt;br /&gt;
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* [[Kaldor–Hicks efficiency]]  卡尔多-希克斯效率&lt;br /&gt;
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* [[Market failure]], when a market result is not Pareto optimal  市场失灵，即市场结果非帕累托最优的时刻&lt;br /&gt;
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* [[Maximal element]], concept in [[order theory]]  极大元，阶理论中的概念&lt;br /&gt;
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* [[Maxima of a point set]]  点集极大值&lt;br /&gt;
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* [[Multi-objective optimization]]  多目标优化&lt;br /&gt;
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* [[Pareto-efficient envy-free division]]  帕累托有效的无嫉妒分割&lt;br /&gt;
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* ''[[Social Choice and Individual Values]]'' for the '(weak) Pareto principle'  关于弱帕累托原则的社会选择与个人价值&lt;br /&gt;
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* [[Trade-off talking rational economic person|TOTREP]]  讲究权衡的理性经济人&lt;br /&gt;
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* [[Welfare economics]]  福利经济&lt;br /&gt;
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==References  参考文献==&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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== Further reading  延伸阅读 ==&lt;br /&gt;
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* {{Cite Fudenberg Tirole 1991|pages=[https://books.google.com/books?id=pFPHKwXro3QC&amp;amp;pg=PA18 18–23]}}&lt;br /&gt;
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* {{Cite journal |last1=Bendor | first1=Jonathan |last2= Mookherjee | first2=Dilip | title = Communitarian versus Universalistic norms | journal = [[Quarterly Journal of Political Science]] | volume = 3 | issue = 1 | pages = 33–61 | doi = 10.1561/100.00007028 | date = April 2008 | ref = harv }}&lt;br /&gt;
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* {{Cite journal | last = Kanbur | first = Ravi| author-link = Ravi Kanbur | title = Pareto's revenge | journal = Journal of Social and Economic Development | volume = 7 | issue = 1 | pages = 1–11 | date = January–June 2005 | url = http://www.arts.cornell.edu/poverty/kanbur/ParRev.pdf | ref = harv }}&lt;br /&gt;
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* {{cite book | last = Ng | first = Yew-Kwang | author-link = Yew-Kwang Ng | title = Welfare economics towards a more complete analysis | url=https://books.google.com/books?id=o-2GDAAAQBAJ&amp;amp;printsec=frontcover| publisher = Palgrave Macmillan | location = Basingstoke, Hampshire New York | year = 2004 | isbn = 9780333971215 }}&lt;br /&gt;
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* {{Citation | author-first1=Ariel | author-last1=Rubinstein | author-first2=Martin J. | author-last2=Osborne | author-link1 = Ariel Rubinstein | contribution = Introduction | editor-first1=Ariel | editor-last1=Rubinstein | editor-first2=Martin J. | editor-last2=Osborne | editor-link1 = Ariel Rubinstein | title = A course in game theory | pages = 6–7 | publisher = MIT Press | location = Cambridge, Massachusetts | year = 1994 | isbn = 9780262650403 }} [https://books.google.com/books?id=5ntdaYX4LPkC&amp;amp;pg=PA6 Book preview.]&lt;br /&gt;
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* {{Cite journal | last = Mathur | first = Vijay K. | title = How well do we know Pareto optimality? | journal = The Journal of Economic Education | volume = 22 | issue = 2 | pages = 172–178 | doi = 10.2307/1182422 | date = Spring 1991 | ref = harv | jstor = 1182422 }}&lt;br /&gt;
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* {{Cite journal | last1 = Newbery | first1 = David M.G. | last2 = Stiglitz | first2 = Joseph E. | author-link1 = David Newbery | author-link2 = Joseph Stiglitz | title = Pareto inferior trade | journal = Review of Economic Studies | volume = 51 | issue = 1 | pages = 1–12 | doi = 10.2307/2297701 | date = January 1984 | ref = harv | jstor = 2297701 }}&lt;br /&gt;
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[[Category:Game theory]]&lt;br /&gt;
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Category:Game theory&lt;br /&gt;
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[[Category:Welfare economics]]&lt;br /&gt;
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Category:Welfare economics&lt;br /&gt;
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类别: 福利经济学&lt;br /&gt;
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[[Category:Pareto efficiency]]&lt;br /&gt;
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Category:Pareto efficiency&lt;br /&gt;
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类别: 帕累托最优&lt;br /&gt;
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[[Category:Mathematical optimization]]&lt;br /&gt;
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Category:Mathematical optimization&lt;br /&gt;
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类别: 最优化&lt;br /&gt;
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Category:Electoral system criteria&lt;br /&gt;
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类别: 选举制度标准&lt;br /&gt;
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[[Category:Vilfredo Pareto]]&lt;br /&gt;
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Category:Vilfredo Pareto&lt;br /&gt;
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类别: Vilfredo Pareto&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Pareto efficiency]]. Its edit history can be viewed at [[帕累托最优/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
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		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14686</id>
		<title>热力学定律 Laws of thermodynamics</title>
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		<updated>2020-10-01T15:42:10Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* History */&lt;/p&gt;
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&lt;div&gt;本词条由Solitude初步翻译&lt;br /&gt;
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{{Thermodynamics|cTopic=Laws}}&amp;lt;br&amp;gt;&lt;br /&gt;
模板：热力学&lt;br /&gt;
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The '''laws of thermodynamics''' define physical quantities, such as [[temperature]], [[energy]], and [[entropy]], that characterize [[thermodynamic system]]s at [[thermodynamic equilibrium]]. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as [[perpetual motion]]. In addition to their use in [[thermodynamics]], they are important fundamental [[Physical law|laws]] of [[physics]] in general, and are applicable in other natural [[sciences]].&lt;br /&gt;
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The laws of thermodynamics define physical quantities, such as temperature, energy, and entropy, that characterize thermodynamic systems at thermodynamic equilibrium. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as perpetual motion. In addition to their use in thermodynamics, they are important fundamental laws of physics in general, and are applicable in other natural sciences.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学定律The laws of thermodynamics&amp;lt;/font&amp;gt;'''定义了许多物理量，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 温度temperature&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量energy&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;熵 entropy&amp;lt;/font&amp;gt;'''，这些物理量表征处于热力学平衡的热力学系统。这些定律描述了这些物理量之间的关系，并构成了排除某些现象的可能性的基础，例如永动机。除了在热力学中的应用之外，它们也是一般物理学中的重要基本定律，也适用于其他自然科学。&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;&amp;gt;Guggenheim, E.A. (1985). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', seventh edition, North Holland, Amsterdam, {{ISBN|0-444-86951-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;&amp;gt;Kittel, C. Kroemer, H. (1980). ''Thermal Physics'', second edition, W.H. Freeman, San Francisco, {{ISBN|0-7167-1088-9}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;&amp;gt;Adkins, C.J. (1968). ''Equilibrium Thermodynamics'', McGraw-Hill, London, {{ISBN|0-07-084057-1}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics. Foundations, Applications, Frontiers'', Springer, Berlin, {{ISBN|978-3-540-74252-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |author1=Chris Vuille |author2=Serway, Raymond A. |author3=Faughn, Jerry S. |title=College physics |publisher=Brooks/Cole, Cengage Learning |location=Belmont, CA |year=2009 |isbn=978-0-495-38693-3 |oclc= |doi= |accessdate= | page =  355 |url=https://books.google.com/books?id=CX0u0mIOZ44C&amp;amp;pg=PT355}}&amp;lt;/ref&amp;gt;. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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传统上，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学Thermodynamics&amp;lt;/font&amp;gt;'''描述了三个基本定律：（简单的按顺序命名为）第一定律、第二定律和第三定律。此外，在前三个定律确立之后，人们认识到可以提出另一个对这三个定律更为基本的定律，即第零定律。&lt;br /&gt;
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The [[zeroth law of thermodynamics]] defines [[thermal equilibrium]] and forms a basis for the definition of [[temperature]]:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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The zeroth law of thermodynamics defines thermal equilibrium and forms a basis for the definition of temperature:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第零定律zeroth law of thermodynamics&amp;lt;/font&amp;gt;'''定义了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热平衡thermal equilibrium&amp;lt;/font&amp;gt;'''，并为温度定义奠定了基础：如果两个系统都与第三个系统处于热平衡，则它们彼此也处于热平衡。&lt;br /&gt;
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The [[first law of thermodynamics]]: When energy passes, as [[Work (thermodynamics)|work]], as [[heat]], or with matter, into or out of a system, the system's [[internal energy]] changes in accord with the law of [[conservation of energy]]. Equivalently, [[perpetual motion machine of the first kind|perpetual motion machines of the first kind]] (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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The first law of thermodynamics: When energy passes, as work, as heat, or with matter, into or out of a system, the system's internal energy changes in accord with the law of conservation of energy. Equivalently, perpetual motion machines of the first kind (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第一定律first law of thermodynamics&amp;lt;/font&amp;gt;''':当能量以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 功work&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热heat&amp;lt;/font&amp;gt;'''或物质的形式进入或离开一个系统时，系统的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 内能 internal energy&amp;lt;/font&amp;gt;'''根据能量守恒定律发生变化。同样地，第一类永动机机器(不需要能量输入就能工作的机器)是不可能造成的。&lt;br /&gt;
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The [[second law of thermodynamics]]: In a natural [[thermodynamic process]], the sum of the [[entropy|entropies]] of the interacting [[thermodynamic system]]s increases. Equivalently, [[perpetual motion machine of the second kind|perpetual motion machines of the second kind]] (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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The second law of thermodynamics: In a natural thermodynamic process, the sum of the entropies of the interacting thermodynamic systems increases. Equivalently, perpetual motion machines of the second kind (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第二定律second law of thermodynamics&amp;lt;/font&amp;gt;''':在自然热力学过程中，相互作用的热力学系统的熵的总和增加。同样地，第二类永动机(自发地把热能转化为机械功的机器)是不可能制造出的。&lt;br /&gt;
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The [[third law of thermodynamics]]: The [[entropy]] of a system approaches a constant value as the temperature approaches [[absolute zero]].&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;  With the exception of non-crystalline solids ([[glass]]es) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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The third law of thermodynamics: The entropy of a system approaches a constant value as the temperature approaches absolute zero.  With the exception of non-crystalline solids (glasses) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第三定律third law of thermodynamics&amp;lt;/font&amp;gt;''':当温度趋于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 绝对零度absolute zero&amp;lt;/font&amp;gt;'''时，系统的熵趋于一个定值。除非晶固体(玻璃)外，系统在绝对零度时的熵通常接近于零。&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;DGM 1962&amp;quot;&amp;gt;De Groot, S.R., Mazur, P. (1962). ''Non-equilibrium Thermodynamics'', North Holland, Amsterdam.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Glansdorff and Prigogine 1971&amp;quot;&amp;gt;Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability and Fluctuations'', Wiley-Interscience, London, {{ISBN|0-471-30280-5}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&lt;br /&gt;
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有人提出了其他的定律，但没有一个达到公认的四个定律的普遍性，也没有在标准教科书中被讨论。&lt;br /&gt;
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==Zeroth law==&lt;br /&gt;
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热力学零定律&lt;br /&gt;
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The [[zeroth law of thermodynamics]] may be stated in the following form:&lt;br /&gt;
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The zeroth law of thermodynamics may be stated in the following form:&lt;br /&gt;
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热力学第零定律可以用以下形式表示：&lt;br /&gt;
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{{quote|If two systems are both in thermal equilibrium with a third system then they are in thermal equilibrium with each other.&amp;lt;ref&amp;gt;Guggenheim (1985), p.&amp;amp;nbsp;8.&amp;lt;/ref&amp;gt;}}&amp;lt;br&amp;gt;&lt;br /&gt;
如果两个系统都与第三个系统处于热平衡状态，则它们彼此处于热平衡状态.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a [[mass]] of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a mass of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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该定律旨在允许一个经验参数存在，即温度，作为热力学系统的一种性质，即相互处于热平衡的系统具有相同的温度。这里所述的定律适用于特定的物质(例如一定量的气体物质）来匹配其他物质的温度，但不能证明温度是一个可以用实数来衡量的量。&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter.&amp;lt;ref&amp;gt;Sommerfeld, A. (1951/1955). ''Thermodynamics and Statistical Mechanics'', vol. 5 of ''Lectures on Theoretical Physics'', edited by F. Bopp, J. Meixner, translated by J. Kestin, Academic Press, New York, p. 1.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1978). The concepts of thermodynamics, in ''Contemporary Developments in Continuum Mechanics and Partial Differential Equations. Proceedings of the International Symposium on Continuum Mechanics and Partial Differential Equations, Rio de Janeiro, August 1977'', edited by G.M. de La Penha, L.A.J. Medeiros, North-Holland, Amsterdam, {{ISBN|0-444-85166-6}}, pp. 411–51.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1986). Chapter 1, 'An Outline of Thermodynamical Structure', pp. 3–32, in ''New Perspectives in Thermodynamics'', edited by J. Serrin, Springer, Berlin, {{ISBN|3-540-15931-2}}.&amp;lt;/ref&amp;gt; Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter. Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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虽然这个版本的定律是最常见的陈述版本之一，但它只是被称为“第零定律”的众多陈述之一。有些陈述更进一步，提供了一个重要的物理事实，即温度是一维的，并且从概念上把物体按实数顺序由冷到热排列。也许对于“第零定律”并没有唯一的“最佳的表述”，因为在文献中有一系列的热力学原理的表述，每一种都要求对热力学定律作出各自适当的说明。&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its [[Conjugate variables (thermodynamics)|conjugate variable]]. Such a temperature definition is said to be 'empirical'.&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (first edition 1968), third edition 1983, Cambridge University Press, {{ISBN|0-521-25445-0}}, pp. 18–20.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics Press, New York, {{ISBN|0-88318-797-3}}, p. 26.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), ''The Concepts of Classical Thermodynamics'', Cambridge University Press, London, pp. 30, 34ff, 46f, 83.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}, p. 22.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge, p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Harold A. Wilson (physicist)|Wilson, H.A.]] (1966). ''Thermodynamics and Statistical Mechanics'', Cambridge University Press, London, pp. 4, 8, 68, 86, 97, 311.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its conjugate variable. Such a temperature definition is said to be 'empirical'.&lt;br /&gt;
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虽然这些关于温度和热平衡的概念是热力学的基础，并在19世纪得到了清楚的阐述，但是直到20世纪30年代福勒和古根海姆这样做的时候，人们才普遍感觉到需要对上述定律进行明确编号，而这时第一定律、第二定律和第三定律已经得到广泛的理解和认可。因此，它被称为第零定律。该定律作为早期定律基础的重要性在于，它允许以非循环的方式定义温度，而无需参考熵及其共轭变量。这样的温度定义被称为“经验主义”。&lt;br /&gt;
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==First law==&lt;br /&gt;
第一定律&lt;br /&gt;
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The '''first law of thermodynamics''' is a version of the law of [[conservation of energy]], adapted for [[thermodynamic system]]s.&lt;br /&gt;
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The first law of thermodynamics is a version of the law of conservation of energy, adapted for thermodynamic systems.&lt;br /&gt;
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热力学第一定律是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量守恒conservation of energy&amp;lt;/font&amp;gt;'''定律的一个版本，适用于热力学系统。&lt;br /&gt;
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The law of conservation of energy states that the total [[energy]] of an [[isolated system]] is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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The law of conservation of energy states that the total energy of an isolated system is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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能量守恒定律指出，一个孤立系统的总能量是恒定的;能量可以从一种形式转化为另一种形式，但能量既不会凭空产生也不会凭空消失。&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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对于一个没有物质转移的热力学过程，第一定律通常用公式表示为：&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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系统 q-w / math,&lt;br /&gt;
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where {{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the change in the [[internal energy]]  of a [[Thermodynamic system#Closed system|closed system]], {{math|''Q''}} denotes the quantity of energy supplied ''to'' the system as [[heat]], and {{math|''W''}} denotes the amount of [[Work (thermodynamics)|thermodynamic work]] (expressed here with a negative sign) done ''by'' the system on its surroundings. (An [[First law of thermodynamics#Sign conventions|alternate sign convention]] not used in this article is to define {{math|''W''}} as the work done ''on'' the system.) &lt;br /&gt;
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where  denotes the change in the internal energy  of a closed system,  denotes the quantity of energy supplied to the system as heat, and  denotes the amount of thermodynamic work (expressed here with a negative sign) done by the system on its surroundings. (An alternate sign convention not used in this article is to define  as the work done on the system.) &lt;br /&gt;
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其中{{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示一个封闭系统内部能量的变化，{{math|''Q''}} 表示外界对系统传递的热量，{{math|''W''}}表示该系统对周围环境所做的热力学功(在这里用负号表示)。(本文中没有使用的另一个符号约定是定义对系统所做的功。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意到前面的heat 译为了“热”  {{math|''Q''}} 表？示外界对系统传递的热量   热量是否为“热”？&lt;br /&gt;
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In the case of a two-stage [[thermodynamic cycle]] of a closed system, which returns to its original state, the heat {{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}} supplied to the system in one stage of the cycle, minus the heat {{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}} removed from it in the other stage, plus the [[Work (thermodynamics)|thermodynamic work]] added to the system, {{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}, equals the thermodynamic work that leaves the system {{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}.&lt;br /&gt;
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In the case of a two-stage thermodynamic cycle of a closed system, which returns to its original state, the heat  supplied to the system in one stage of the cycle, minus the heat  removed from it in the other stage, plus the thermodynamic work added to the system, , equals the thermodynamic work that leaves the system .&lt;br /&gt;
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在封闭系统的两级'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力循环thermodynamic cycle&amp;lt;/font&amp;gt;'''中，该循环回到其原始状态，在循环的一个阶段向系统提供的热量{{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，减去另一个阶段从系统中去除的热量{{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}，加上对系统做的的热力学功{{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，等于离开系统的做的热力学功{{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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因此，一个完整的循环,&lt;br /&gt;
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::Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is: {{math|''Q'' {{=}} 0}}.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is:  0}}.&lt;br /&gt;
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对于绝热系统（绝热隔离）的特殊情况，绝热隔离系统内能的变化只能是系统做功的结果，因为绝热假设是: 0}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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对于包括物质转移的过程，还需要进一步的说明: ‘在充分考虑了各个系统的基准参考状态后，当两个系统---- '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;它们可能由不同的化学成分组成，最初只是被防渗墙隔开，或者是被隔离---- 通过移除墙体的热力学操作结合成一个新系统&amp;lt;/font&amp;gt;'''，那么&lt;br /&gt;
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::&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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数学 u + u 2 / math,&lt;br /&gt;
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where {{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the internal energy  of the combined system, and  {{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} denote the internal energies of the respective separated systems.'&lt;br /&gt;
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where  denotes the internal energy  of the combined system, and   and  denote the internal energies of the respective separated systems.'&lt;br /&gt;
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其中{{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示组合系统的内能，{{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} 表示各自分离系统的内能&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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第一定律包括以下几个原则:&lt;br /&gt;
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* The [[Conservation of energy|law of conservation of energy]].&lt;br /&gt;
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::This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
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This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
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能量既不能被创造也不能被消灭。但是，能量可以改变形式，能量可以从一个地方流动到另一个地方。能量守恒定律的一个特殊结果是，孤立系统的总能量不变。&lt;br /&gt;
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* The concept of [[internal energy]] and its relationship to temperature.&amp;lt;br&amp;gt;&lt;br /&gt;
内能的概念及其与温度关系。&lt;br /&gt;
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::If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has [[kinetic energy]]. If the system as a whole is in an externally imposed force field (e.g. gravity), it has [[potential energy]] relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
&lt;br /&gt;
If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has kinetic energy. If the system as a whole is in an externally imposed force field (e.g. gravity), it has potential energy relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
&lt;br /&gt;
如果系统具有确定的温度，则其总能量具有三个可区分的成分，分别称为动能（由与系统整体运动产生的能量），势能（由外部施加的立场产生的能量，比如重力）和内能（热热力学的基本量）。内能概念的确立将热力学第一定律与一般的能量守恒定律区分开来。&lt;br /&gt;
  ——Solitude(讨论)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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::The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, {{math|''U''}}, and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
&lt;br /&gt;
The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, , and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
&lt;br /&gt;
物质的内能可以解释为其组成原子的不规则微观运动的不同动能和它们之间相互作用的势能的总和。这些微观能量统称为物质的内能，并由宏观热力学性质来解释。组成原子的微观运动的总和随着系统温度的升高而增加; 这假设在系统的微观层次上没有其他的相互作用，例如化学反应、组成原子相互间的势能。&lt;br /&gt;
&lt;br /&gt;
* [[Work (physics)|Work]] is a process of transferring energy to or from a system in ways that can be described by macroscopic mechanical forces exerted by factors in the surroundings, outside the system. Examples are an externally driven shaft agitating a stirrer within the system, or an externally imposed electric field that polarizes the material of the system, or a piston that compresses the system. Unless otherwise stated, it is customary to treat work as occurring without its [[dissipation]] to the surroundings. Practically speaking, in all natural process, some of the work is dissipated by internal friction or viscosity. The work done by the system can come from its overall kinetic energy, from its overall potential energy, or from its internal energy.&lt;br /&gt;
&lt;br /&gt;
做功是一种以某种方式向系统传递能量或从系统传递能量的过程，其方式可以用作用在系统外部及其周围环境之间的宏观机械力来描述。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;例如，外部驱动的轴在系统内搅动，或外部施加的电场使系统材料极化，或活塞压缩系统。&amp;lt;/font&amp;gt;'''除非另有说明，习惯上把做功看作是在不影响周围环境的情况下发生的。实际上，在一切自然过程中，有些功是因内摩擦或粘黏而消失的。系统所做的功，可以来自于它的总动能，总势能或者它的内能。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's [[gravitational potential energy]]. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's gravitational potential energy. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
例如，当一台机器(不是系统的一部分)将系统向上提升时，一些能量就会从机器转移到系统。系统的能量随着系统所做功的增加而增加，在这种特殊的情况下，系统的能量增加表现为系统的重力势能的增加。对系统做的增加了系统的势能:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“对系统做的增加了系统的势能”  需要对全文进行通读 这里少词&lt;br /&gt;
&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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::Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
或者一般来说，以功的形式加入系统的能量可以分为动能、势能或内能:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* When matter is transferred into a system, that masses' associated internal energy and potential energy are transferred with it.&amp;lt;br&amp;gt;&lt;br /&gt;
当物质转移到一个系统中时，物质相关的内能和势能也随之转移。&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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在 Delta u { system } / math 中的 math  left (u，Delta m  right)&lt;br /&gt;
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::where {{math|''u''}} denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and {{math|Δ''M''}} denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
where  denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and  denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
其中{{math|''u''}}表示在周围环境中测量的转移物质的单位质量的内能; {{math|Δ''M''}}表示被转移物质的数量。&lt;br /&gt;
&lt;br /&gt;
* The flow of [[heat]] is a form of energy transfer.&amp;lt;br&amp;gt;&lt;br /&gt;
热的流动是能量传递的一种形式。&lt;br /&gt;
&lt;br /&gt;
::Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
加热是一个将能量转移到系统中或从系统中转移出的自然过程，而不是通过做功或物质的转移。热量只能从较热的系统直接传递到较冷的系统。&lt;br /&gt;
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:::If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
如果系统具有不渗透物质的刚性壁，那么能量不能通过做功传入或传出系统，而且没有外部的远程力场影响系统以改变其内能，那么内能只能通过以热的形式进行传递来改变:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
系统的 q / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where {{math|''Q''}} denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
where  denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
其中 {{math|''Q''}}表示以热量形式传递到系统中的能量。&lt;br /&gt;
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Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
结合这些原理，就可以得出传统的热力学第一定律的表述: 不可能制造一台在没有等量能量输入的情况下不断做功的机器。或者更简单地说，第一类永动机是不可能造成的。&lt;br /&gt;
&lt;br /&gt;
==Second law==&lt;br /&gt;
第二定律&lt;br /&gt;
&lt;br /&gt;
The [[second law of thermodynamics]] indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
The second law of thermodynamics indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
热力学第二定律表明了自然过程的不可逆性，并且在许多情况下，自然过程的趋向于物质很能量的空间均匀性，特别是温度。它可以用各种有趣而重要的方式来表达。&lt;br /&gt;
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    &lt;br /&gt;
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It implies the existence of a quantity called the [[entropy]] of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
&lt;br /&gt;
It implies the existence of a quantity called the entropy of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
&lt;br /&gt;
这意味着热力学系统中存在一个叫做熵的量。了一个叫做热力学系统熵的量的存在。就这个数量而言，它意味着&lt;br /&gt;
&lt;br /&gt;
{{quote|When two initially isolated systems in separate but nearby regions of space, each in [[thermodynamic equilibrium]] with itself but not necessarily with each other, are then allowed to interact, they will eventually reach a mutual thermodynamic equilibrium. The sum of the [[entropy|entropies]] of the initially isolated systems is less than or equal to the total entropy of the final combination. Equality occurs just when the two original systems have all their respective intensive variables (temperature, pressure) equal; then the final system also has the same values.}}&amp;lt;br&amp;gt;&lt;br /&gt;
当两个最初隔离的系统分别位于彼此独立但不一定彼此处于热力学平衡的空间区域中，然后彼此相互作用时，它们最终将达到相互的热力学平衡。最初隔离的系统的熵之和小于或等于最终组合的总熵。当两个初始系统各自的强变量(温度、压力)相等时，才发生平等。那么最终的系统也有相同的值。&lt;br /&gt;
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The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
第二定律适用于可逆和不可逆的多种过程。所有的自然过程都是不可逆的。可逆过程是一个有用的和方便的理论假设，但不发生在自然界。&lt;br /&gt;
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A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
这种不可逆性的一个主要例子是通过传导或辐射进行的热传递。早在熵的概念被发现之前，人们就已经知道，当两个最初温度不同的物体直接进行热连接时，热量总是自发地从较热的物体流向较冷的物体。&lt;br /&gt;
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The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
第二定律也告诉我们除了热传递之外的不可逆性，例如摩擦力和粘度，以及化学反应。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;需要熵的概念给该定律提供更广泛的范围。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, ''δQ'', is the product of the temperature (''T''), both of the system and of the sources or destination of the heat, with the increment (''dS'') of the system's conjugate variable, its [[entropy]] (''S'')&lt;br /&gt;
&lt;br /&gt;
According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, δQ, is the product of the temperature (T), both of the system and of the sources or destination of the heat, with the increment (dS) of the system's conjugate variable, its entropy (S)&lt;br /&gt;
&lt;br /&gt;
根据热力学第二定律，在理论上和假设的可逆传热中，传热元素δQ是系统和热源或热目的地的温度(t)与系统共轭变量熵（S）的增量(dS)的乘积&lt;br /&gt;
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&lt;br /&gt;
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:&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学 delta q t  ，dS  ，. / math&lt;br /&gt;
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[[Entropy]] may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as ''disorder'' on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&amp;lt;ref&amp;gt;Ben-Naim, A. (2008). ''A Farewell to Entropy: Statistical Thermodynamics Based on Information'', World Scientific, New Jersey, {{ISBN|978-981-270-706-2}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Entropy may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as disorder on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&lt;br /&gt;
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当只知道宏观状态时，熵也可以被看作是对系统运动和构型的微观细节有关的物理度量。这种细节通常在微观或分子尺度上被称为无序。该定律声称，对于一个系统的两个给定的宏观指定状态，它们之间存在一个被称为熵差的量。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这种熵的差异定义了需要多少额外的微观物理信息来指定一个宏观指定状态，给定另一个宏观指定状态-通常是一个方便选择的参考状态，这可能是假定存在的，而不是明确陈述的。自然过程的最终条件始终包含着微观上特定的影响，而这些影响，从过程初始条件的宏观规定来看是无法被完全准确预测的。这就是为什么熵在自然过程中会增加——熵的增加告诉我们需要多少额外的微观信息来区分最终的宏观指定状态和最初的宏观指定状态。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Third law==&lt;br /&gt;
第三定律&lt;br /&gt;
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The [[third law of thermodynamics]] is sometimes stated as follows:&lt;br /&gt;
&lt;br /&gt;
The third law of thermodynamics is sometimes stated as follows:&lt;br /&gt;
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热力学第三定律可以表示为：&lt;br /&gt;
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:''The [[entropy]] of a perfect [[crystal]] of any pure substance approaches zero as the temperature approaches [[absolute zero]].''&lt;br /&gt;
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The entropy of a perfect crystal of any pure substance approaches zero as the temperature approaches absolute zero.&lt;br /&gt;
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当温度接近绝对零度时，任何纯物质的完整晶体的熵接近零。&lt;br /&gt;
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At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one [[microstate (statistical mechanics)|state with minimum energy]].  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one state with minimum energy.  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
在零温时，系统必须处于热能最小的状态。如果完美晶体只有一种能量最小的状态，则该说法成立。熵与可能的微状态数有关:&lt;br /&gt;
&lt;br /&gt;
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::&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学知识，数学知识，欧米茄 / 数学&lt;br /&gt;
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Where ''S'' is the entropy of the system, ''k''&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; [[Boltzmann constant|Boltzmann's constant]], and ''Ω'' the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (''Ω''=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
&lt;br /&gt;
Where S is the entropy of the system, k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; Boltzmann's constant, and Ω the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (Ω=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
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其中 s 是系统的熵，k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt;是玻尔兹曼常数，以及Ω是微状态数(例如:可能的原子结构)。在绝对零度下只有一种微状态(Ω=1，因为纯物质的所有原子都是相同的，所以所有阶数都是相同的，因为只有一个组合)和 ln (1)=0。&lt;br /&gt;
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A more general form of the third law that applies to a system such as a [[glass]] that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
A more general form of the third law that applies to a system such as a glass that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
第三定律的一个更普遍的形式，适用于像玻璃这样的系统，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;可能有一个以上的微观上截然不同的能量状态，或可能有一个微观上截然不同的“冻结状态”，虽然不是一个严格意义上的的最低能量状态，也不是严格意义上的热力学平衡，&amp;lt;/font&amp;gt;'''在绝对零度:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]） “在绝对零度:”  “在绝对零度下”？&lt;br /&gt;
&lt;br /&gt;
:''The entropy of a system approaches a constant value as the temperature approaches zero.''&lt;br /&gt;
&lt;br /&gt;
The entropy of a system approaches a constant value as the temperature approaches zero.&lt;br /&gt;
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系统的熵随着温度接近绝对零度而接近一个恒定值。&lt;br /&gt;
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The constant value (not necessarily zero) is called the [[residual entropy]] of the system.&lt;br /&gt;
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The constant value (not necessarily zero) is called the residual entropy of the system.&lt;br /&gt;
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这个常数(不一定是零)被称为系统的余熵。&lt;br /&gt;
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==History==&lt;br /&gt;
历史&lt;br /&gt;
&lt;br /&gt;
{{see also|Philosophy of thermal and statistical physics}}&amp;lt;br&amp;gt;&lt;br /&gt;
热学和统计物理学的哲学&lt;br /&gt;
&lt;br /&gt;
[[Mechanical equivalent of heat|Circa 1797, Count Rumford (born Benjamin Thompson)]] showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by [[Nicolas Léonard Sadi Carnot|Sadi Carnot]] in 1824. By 1860, as formalized in the works of those such as [[Rudolf Clausius]] and [[William Thomson, 1st Baron Kelvin|William Thomson]], two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist [[Josiah Willard Gibbs]], in his memoir ''Graphical Methods in the Thermodynamics of Fluids'', clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
&lt;br /&gt;
Circa 1797, Count Rumford (born Benjamin Thompson) showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by Sadi Carnot in 1824. By 1860, as formalized in the works of those such as Rudolf Clausius and William Thomson, two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist Josiah Willard Gibbs, in his memoir Graphical Methods in the Thermodynamics of Fluids, clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
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大约在1797年，拉姆福德(出生于本杰明·汤普森)表明，无休止的机械作用可以从固定数量的工作物质中产生无限量的热量，从而挑战了热量理论。该理论认为在固定数量的工作物质中会有有限的热量 / 能量。1824年，萨迪·卡诺建立了第一个热力学原理，也就是后来的热力学第二定律。到1860年，正如鲁道夫 · 克劳修斯和威廉 · 汤姆森等人的著作所正式规定的那样，已经确立的两个热力学原理得到了发展，第一个原理和第二个原理，后来被重新定义为热力学定律。例如，1873年，热力学学家乔赛亚·威拉德·吉布斯在他的回忆录《流体热力学的图解法》中明确阐述了热力学的前两个绝对定律。整个20世纪的一些教科书对这些定律进行了不同的编号。在一些与化学无关的领域，第二定律被认为仅仅处理热机的效率问题，而所谓的第三定律则处理熵的增加问题。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;直接定义熵计算的零律不被认为是一条定律。&amp;lt;/font&amp;gt;'''这种分离逐渐形成了第二定律，现代第三定律被广泛采用。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“熵的增加问题” 更加简明一点？“熵增问题”&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
&lt;br /&gt;
*化学热力学 [[Chemical thermodynamics]]&lt;br /&gt;
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*守恒定律 [[Conservation law (physics)|Conservation law]]&lt;br /&gt;
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*熵增 [[Entropy production]]&lt;br /&gt;
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*金斯伯格定理 [[Ginsberg's theorem]]&lt;br /&gt;
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*宇宙热寂 [[Heat death of the universe]]&lt;br /&gt;
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*H定理 [[H-theorem]]&lt;br /&gt;
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*科学规律 [[Laws of science]]&lt;br /&gt;
&lt;br /&gt;
*昂萨格倒易关系（有时被描述为热力学第四定律） [[Onsager reciprocal relations]] (sometimes described as a fourth law of thermodynamics)&lt;br /&gt;
&lt;br /&gt;
*统计力学 [[Statistical mechanics]]&lt;br /&gt;
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*热力学方程表 [[Table of thermodynamic equations]]&lt;br /&gt;
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==References==&amp;lt;br&amp;gt;&lt;br /&gt;
参考文献&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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* [[Peter Atkins|Atkins, Peter]] (2007). ''Four Laws That Drive the Universe''. OUP Oxford. {{ISBN|978-0199232369}}&lt;br /&gt;
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* Goldstein, Martin &amp;amp; Inge F. (1993). ''The Refrigerator and the Universe''. Harvard Univ. Press. {{ISBN|978-0674753259}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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* [http://www.bbc.co.uk/programmes/b06c06nd In Our Time: Perpetual Motion], BBC discussion about the Laws, with Ruth Gregory, Frank Close and Steven Bramwell, hosted by Melvyn Bragg, first broadcast 24 September 2015.&lt;br /&gt;
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[[Category:Laws of thermodynamics| ]]&lt;br /&gt;
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[[Category:Scientific laws]]&lt;br /&gt;
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Category:Scientific laws&lt;br /&gt;
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类别: 科学定律&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Laws of thermodynamics]]. Its edit history can be viewed at [[热力学定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14685</id>
		<title>热力学定律 Laws of thermodynamics</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14685"/>
		<updated>2020-10-01T15:40:49Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Third law */&lt;/p&gt;
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&lt;div&gt;本词条由Solitude初步翻译&lt;br /&gt;
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{{Thermodynamics|cTopic=Laws}}&amp;lt;br&amp;gt;&lt;br /&gt;
模板：热力学&lt;br /&gt;
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The '''laws of thermodynamics''' define physical quantities, such as [[temperature]], [[energy]], and [[entropy]], that characterize [[thermodynamic system]]s at [[thermodynamic equilibrium]]. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as [[perpetual motion]]. In addition to their use in [[thermodynamics]], they are important fundamental [[Physical law|laws]] of [[physics]] in general, and are applicable in other natural [[sciences]].&lt;br /&gt;
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The laws of thermodynamics define physical quantities, such as temperature, energy, and entropy, that characterize thermodynamic systems at thermodynamic equilibrium. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as perpetual motion. In addition to their use in thermodynamics, they are important fundamental laws of physics in general, and are applicable in other natural sciences.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学定律The laws of thermodynamics&amp;lt;/font&amp;gt;'''定义了许多物理量，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 温度temperature&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量energy&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;熵 entropy&amp;lt;/font&amp;gt;'''，这些物理量表征处于热力学平衡的热力学系统。这些定律描述了这些物理量之间的关系，并构成了排除某些现象的可能性的基础，例如永动机。除了在热力学中的应用之外，它们也是一般物理学中的重要基本定律，也适用于其他自然科学。&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;&amp;gt;Guggenheim, E.A. (1985). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', seventh edition, North Holland, Amsterdam, {{ISBN|0-444-86951-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;&amp;gt;Kittel, C. Kroemer, H. (1980). ''Thermal Physics'', second edition, W.H. Freeman, San Francisco, {{ISBN|0-7167-1088-9}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;&amp;gt;Adkins, C.J. (1968). ''Equilibrium Thermodynamics'', McGraw-Hill, London, {{ISBN|0-07-084057-1}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics. Foundations, Applications, Frontiers'', Springer, Berlin, {{ISBN|978-3-540-74252-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |author1=Chris Vuille |author2=Serway, Raymond A. |author3=Faughn, Jerry S. |title=College physics |publisher=Brooks/Cole, Cengage Learning |location=Belmont, CA |year=2009 |isbn=978-0-495-38693-3 |oclc= |doi= |accessdate= | page =  355 |url=https://books.google.com/books?id=CX0u0mIOZ44C&amp;amp;pg=PT355}}&amp;lt;/ref&amp;gt;. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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传统上，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学Thermodynamics&amp;lt;/font&amp;gt;'''描述了三个基本定律：（简单的按顺序命名为）第一定律、第二定律和第三定律。此外，在前三个定律确立之后，人们认识到可以提出另一个对这三个定律更为基本的定律，即第零定律。&lt;br /&gt;
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The [[zeroth law of thermodynamics]] defines [[thermal equilibrium]] and forms a basis for the definition of [[temperature]]:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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The zeroth law of thermodynamics defines thermal equilibrium and forms a basis for the definition of temperature:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第零定律zeroth law of thermodynamics&amp;lt;/font&amp;gt;'''定义了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热平衡thermal equilibrium&amp;lt;/font&amp;gt;'''，并为温度定义奠定了基础：如果两个系统都与第三个系统处于热平衡，则它们彼此也处于热平衡。&lt;br /&gt;
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The [[first law of thermodynamics]]: When energy passes, as [[Work (thermodynamics)|work]], as [[heat]], or with matter, into or out of a system, the system's [[internal energy]] changes in accord with the law of [[conservation of energy]]. Equivalently, [[perpetual motion machine of the first kind|perpetual motion machines of the first kind]] (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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The first law of thermodynamics: When energy passes, as work, as heat, or with matter, into or out of a system, the system's internal energy changes in accord with the law of conservation of energy. Equivalently, perpetual motion machines of the first kind (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第一定律first law of thermodynamics&amp;lt;/font&amp;gt;''':当能量以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 功work&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热heat&amp;lt;/font&amp;gt;'''或物质的形式进入或离开一个系统时，系统的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 内能 internal energy&amp;lt;/font&amp;gt;'''根据能量守恒定律发生变化。同样地，第一类永动机机器(不需要能量输入就能工作的机器)是不可能造成的。&lt;br /&gt;
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The [[second law of thermodynamics]]: In a natural [[thermodynamic process]], the sum of the [[entropy|entropies]] of the interacting [[thermodynamic system]]s increases. Equivalently, [[perpetual motion machine of the second kind|perpetual motion machines of the second kind]] (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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The second law of thermodynamics: In a natural thermodynamic process, the sum of the entropies of the interacting thermodynamic systems increases. Equivalently, perpetual motion machines of the second kind (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第二定律second law of thermodynamics&amp;lt;/font&amp;gt;''':在自然热力学过程中，相互作用的热力学系统的熵的总和增加。同样地，第二类永动机(自发地把热能转化为机械功的机器)是不可能制造出的。&lt;br /&gt;
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The [[third law of thermodynamics]]: The [[entropy]] of a system approaches a constant value as the temperature approaches [[absolute zero]].&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;  With the exception of non-crystalline solids ([[glass]]es) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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The third law of thermodynamics: The entropy of a system approaches a constant value as the temperature approaches absolute zero.  With the exception of non-crystalline solids (glasses) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第三定律third law of thermodynamics&amp;lt;/font&amp;gt;''':当温度趋于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 绝对零度absolute zero&amp;lt;/font&amp;gt;'''时，系统的熵趋于一个定值。除非晶固体(玻璃)外，系统在绝对零度时的熵通常接近于零。&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;DGM 1962&amp;quot;&amp;gt;De Groot, S.R., Mazur, P. (1962). ''Non-equilibrium Thermodynamics'', North Holland, Amsterdam.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Glansdorff and Prigogine 1971&amp;quot;&amp;gt;Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability and Fluctuations'', Wiley-Interscience, London, {{ISBN|0-471-30280-5}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&lt;br /&gt;
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有人提出了其他的定律，但没有一个达到公认的四个定律的普遍性，也没有在标准教科书中被讨论。&lt;br /&gt;
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==Zeroth law==&lt;br /&gt;
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热力学零定律&lt;br /&gt;
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The [[zeroth law of thermodynamics]] may be stated in the following form:&lt;br /&gt;
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The zeroth law of thermodynamics may be stated in the following form:&lt;br /&gt;
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热力学第零定律可以用以下形式表示：&lt;br /&gt;
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{{quote|If two systems are both in thermal equilibrium with a third system then they are in thermal equilibrium with each other.&amp;lt;ref&amp;gt;Guggenheim (1985), p.&amp;amp;nbsp;8.&amp;lt;/ref&amp;gt;}}&amp;lt;br&amp;gt;&lt;br /&gt;
如果两个系统都与第三个系统处于热平衡状态，则它们彼此处于热平衡状态.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a [[mass]] of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a mass of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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该定律旨在允许一个经验参数存在，即温度，作为热力学系统的一种性质，即相互处于热平衡的系统具有相同的温度。这里所述的定律适用于特定的物质(例如一定量的气体物质）来匹配其他物质的温度，但不能证明温度是一个可以用实数来衡量的量。&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter.&amp;lt;ref&amp;gt;Sommerfeld, A. (1951/1955). ''Thermodynamics and Statistical Mechanics'', vol. 5 of ''Lectures on Theoretical Physics'', edited by F. Bopp, J. Meixner, translated by J. Kestin, Academic Press, New York, p. 1.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1978). The concepts of thermodynamics, in ''Contemporary Developments in Continuum Mechanics and Partial Differential Equations. Proceedings of the International Symposium on Continuum Mechanics and Partial Differential Equations, Rio de Janeiro, August 1977'', edited by G.M. de La Penha, L.A.J. Medeiros, North-Holland, Amsterdam, {{ISBN|0-444-85166-6}}, pp. 411–51.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1986). Chapter 1, 'An Outline of Thermodynamical Structure', pp. 3–32, in ''New Perspectives in Thermodynamics'', edited by J. Serrin, Springer, Berlin, {{ISBN|3-540-15931-2}}.&amp;lt;/ref&amp;gt; Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter. Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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虽然这个版本的定律是最常见的陈述版本之一，但它只是被称为“第零定律”的众多陈述之一。有些陈述更进一步，提供了一个重要的物理事实，即温度是一维的，并且从概念上把物体按实数顺序由冷到热排列。也许对于“第零定律”并没有唯一的“最佳的表述”，因为在文献中有一系列的热力学原理的表述，每一种都要求对热力学定律作出各自适当的说明。&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its [[Conjugate variables (thermodynamics)|conjugate variable]]. Such a temperature definition is said to be 'empirical'.&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (first edition 1968), third edition 1983, Cambridge University Press, {{ISBN|0-521-25445-0}}, pp. 18–20.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics Press, New York, {{ISBN|0-88318-797-3}}, p. 26.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), ''The Concepts of Classical Thermodynamics'', Cambridge University Press, London, pp. 30, 34ff, 46f, 83.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}, p. 22.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge, p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Harold A. Wilson (physicist)|Wilson, H.A.]] (1966). ''Thermodynamics and Statistical Mechanics'', Cambridge University Press, London, pp. 4, 8, 68, 86, 97, 311.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its conjugate variable. Such a temperature definition is said to be 'empirical'.&lt;br /&gt;
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虽然这些关于温度和热平衡的概念是热力学的基础，并在19世纪得到了清楚的阐述，但是直到20世纪30年代福勒和古根海姆这样做的时候，人们才普遍感觉到需要对上述定律进行明确编号，而这时第一定律、第二定律和第三定律已经得到广泛的理解和认可。因此，它被称为第零定律。该定律作为早期定律基础的重要性在于，它允许以非循环的方式定义温度，而无需参考熵及其共轭变量。这样的温度定义被称为“经验主义”。&lt;br /&gt;
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==First law==&lt;br /&gt;
第一定律&lt;br /&gt;
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The '''first law of thermodynamics''' is a version of the law of [[conservation of energy]], adapted for [[thermodynamic system]]s.&lt;br /&gt;
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The first law of thermodynamics is a version of the law of conservation of energy, adapted for thermodynamic systems.&lt;br /&gt;
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热力学第一定律是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量守恒conservation of energy&amp;lt;/font&amp;gt;'''定律的一个版本，适用于热力学系统。&lt;br /&gt;
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The law of conservation of energy states that the total [[energy]] of an [[isolated system]] is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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The law of conservation of energy states that the total energy of an isolated system is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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能量守恒定律指出，一个孤立系统的总能量是恒定的;能量可以从一种形式转化为另一种形式，但能量既不会凭空产生也不会凭空消失。&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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对于一个没有物质转移的热力学过程，第一定律通常用公式表示为：&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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系统 q-w / math,&lt;br /&gt;
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where {{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the change in the [[internal energy]]  of a [[Thermodynamic system#Closed system|closed system]], {{math|''Q''}} denotes the quantity of energy supplied ''to'' the system as [[heat]], and {{math|''W''}} denotes the amount of [[Work (thermodynamics)|thermodynamic work]] (expressed here with a negative sign) done ''by'' the system on its surroundings. (An [[First law of thermodynamics#Sign conventions|alternate sign convention]] not used in this article is to define {{math|''W''}} as the work done ''on'' the system.) &lt;br /&gt;
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where  denotes the change in the internal energy  of a closed system,  denotes the quantity of energy supplied to the system as heat, and  denotes the amount of thermodynamic work (expressed here with a negative sign) done by the system on its surroundings. (An alternate sign convention not used in this article is to define  as the work done on the system.) &lt;br /&gt;
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其中{{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示一个封闭系统内部能量的变化，{{math|''Q''}} 表示外界对系统传递的热量，{{math|''W''}}表示该系统对周围环境所做的热力学功(在这里用负号表示)。(本文中没有使用的另一个符号约定是定义对系统所做的功。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意到前面的heat 译为了“热”  {{math|''Q''}} 表？示外界对系统传递的热量   热量是否为“热”？&lt;br /&gt;
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In the case of a two-stage [[thermodynamic cycle]] of a closed system, which returns to its original state, the heat {{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}} supplied to the system in one stage of the cycle, minus the heat {{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}} removed from it in the other stage, plus the [[Work (thermodynamics)|thermodynamic work]] added to the system, {{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}, equals the thermodynamic work that leaves the system {{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}.&lt;br /&gt;
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In the case of a two-stage thermodynamic cycle of a closed system, which returns to its original state, the heat  supplied to the system in one stage of the cycle, minus the heat  removed from it in the other stage, plus the thermodynamic work added to the system, , equals the thermodynamic work that leaves the system .&lt;br /&gt;
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在封闭系统的两级'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力循环thermodynamic cycle&amp;lt;/font&amp;gt;'''中，该循环回到其原始状态，在循环的一个阶段向系统提供的热量{{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，减去另一个阶段从系统中去除的热量{{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}，加上对系统做的的热力学功{{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，等于离开系统的做的热力学功{{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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0 / math&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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因此，一个完整的循环,&lt;br /&gt;
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::Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is: {{math|''Q'' {{=}} 0}}.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is:  0}}.&lt;br /&gt;
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对于绝热系统（绝热隔离）的特殊情况，绝热隔离系统内能的变化只能是系统做功的结果，因为绝热假设是: 0}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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对于包括物质转移的过程，还需要进一步的说明: ‘在充分考虑了各个系统的基准参考状态后，当两个系统---- '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;它们可能由不同的化学成分组成，最初只是被防渗墙隔开，或者是被隔离---- 通过移除墙体的热力学操作结合成一个新系统&amp;lt;/font&amp;gt;'''，那么&lt;br /&gt;
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::&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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数学 u + u 2 / math,&lt;br /&gt;
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where {{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the internal energy  of the combined system, and  {{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} denote the internal energies of the respective separated systems.'&lt;br /&gt;
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where  denotes the internal energy  of the combined system, and   and  denote the internal energies of the respective separated systems.'&lt;br /&gt;
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其中{{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示组合系统的内能，{{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} 表示各自分离系统的内能&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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第一定律包括以下几个原则:&lt;br /&gt;
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* The [[Conservation of energy|law of conservation of energy]].&lt;br /&gt;
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::This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
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This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
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能量既不能被创造也不能被消灭。但是，能量可以改变形式，能量可以从一个地方流动到另一个地方。能量守恒定律的一个特殊结果是，孤立系统的总能量不变。&lt;br /&gt;
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* The concept of [[internal energy]] and its relationship to temperature.&amp;lt;br&amp;gt;&lt;br /&gt;
内能的概念及其与温度关系。&lt;br /&gt;
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::If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has [[kinetic energy]]. If the system as a whole is in an externally imposed force field (e.g. gravity), it has [[potential energy]] relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
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If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has kinetic energy. If the system as a whole is in an externally imposed force field (e.g. gravity), it has potential energy relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
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如果系统具有确定的温度，则其总能量具有三个可区分的成分，分别称为动能（由与系统整体运动产生的能量），势能（由外部施加的立场产生的能量，比如重力）和内能（热热力学的基本量）。内能概念的确立将热力学第一定律与一般的能量守恒定律区分开来。&lt;br /&gt;
  ——Solitude(讨论)&lt;br /&gt;
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::&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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::The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, {{math|''U''}}, and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
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The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, , and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
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物质的内能可以解释为其组成原子的不规则微观运动的不同动能和它们之间相互作用的势能的总和。这些微观能量统称为物质的内能，并由宏观热力学性质来解释。组成原子的微观运动的总和随着系统温度的升高而增加; 这假设在系统的微观层次上没有其他的相互作用，例如化学反应、组成原子相互间的势能。&lt;br /&gt;
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* [[Work (physics)|Work]] is a process of transferring energy to or from a system in ways that can be described by macroscopic mechanical forces exerted by factors in the surroundings, outside the system. Examples are an externally driven shaft agitating a stirrer within the system, or an externally imposed electric field that polarizes the material of the system, or a piston that compresses the system. Unless otherwise stated, it is customary to treat work as occurring without its [[dissipation]] to the surroundings. Practically speaking, in all natural process, some of the work is dissipated by internal friction or viscosity. The work done by the system can come from its overall kinetic energy, from its overall potential energy, or from its internal energy.&lt;br /&gt;
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做功是一种以某种方式向系统传递能量或从系统传递能量的过程，其方式可以用作用在系统外部及其周围环境之间的宏观机械力来描述。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;例如，外部驱动的轴在系统内搅动，或外部施加的电场使系统材料极化，或活塞压缩系统。&amp;lt;/font&amp;gt;'''除非另有说明，习惯上把做功看作是在不影响周围环境的情况下发生的。实际上，在一切自然过程中，有些功是因内摩擦或粘黏而消失的。系统所做的功，可以来自于它的总动能，总势能或者它的内能。&lt;br /&gt;
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::For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's [[gravitational potential energy]]. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's gravitational potential energy. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
例如，当一台机器(不是系统的一部分)将系统向上提升时，一些能量就会从机器转移到系统。系统的能量随着系统所做功的增加而增加，在这种特殊的情况下，系统的能量增加表现为系统的重力势能的增加。对系统做的增加了系统的势能:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“对系统做的增加了系统的势能”  需要对全文进行通读 这里少词&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:::&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
或者一般来说，以功的形式加入系统的能量可以分为动能、势能或内能:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:::&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* When matter is transferred into a system, that masses' associated internal energy and potential energy are transferred with it.&amp;lt;br&amp;gt;&lt;br /&gt;
当物质转移到一个系统中时，物质相关的内能和势能也随之转移。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:::&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
在 Delta u { system } / math 中的 math  left (u，Delta m  right)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::where {{math|''u''}} denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and {{math|Δ''M''}} denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
where  denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and  denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
其中{{math|''u''}}表示在周围环境中测量的转移物质的单位质量的内能; {{math|Δ''M''}}表示被转移物质的数量。&lt;br /&gt;
&lt;br /&gt;
* The flow of [[heat]] is a form of energy transfer.&amp;lt;br&amp;gt;&lt;br /&gt;
热的流动是能量传递的一种形式。&lt;br /&gt;
&lt;br /&gt;
::Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
加热是一个将能量转移到系统中或从系统中转移出的自然过程，而不是通过做功或物质的转移。热量只能从较热的系统直接传递到较冷的系统。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:::If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
如果系统具有不渗透物质的刚性壁，那么能量不能通过做功传入或传出系统，而且没有外部的远程力场影响系统以改变其内能，那么内能只能通过以热的形式进行传递来改变:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:::&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
系统的 q / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where {{math|''Q''}} denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
where  denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
其中 {{math|''Q''}}表示以热量形式传递到系统中的能量。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
结合这些原理，就可以得出传统的热力学第一定律的表述: 不可能制造一台在没有等量能量输入的情况下不断做功的机器。或者更简单地说，第一类永动机是不可能造成的。&lt;br /&gt;
&lt;br /&gt;
==Second law==&lt;br /&gt;
第二定律&lt;br /&gt;
&lt;br /&gt;
The [[second law of thermodynamics]] indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
The second law of thermodynamics indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
热力学第二定律表明了自然过程的不可逆性，并且在许多情况下，自然过程的趋向于物质很能量的空间均匀性，特别是温度。它可以用各种有趣而重要的方式来表达。&lt;br /&gt;
&lt;br /&gt;
    &lt;br /&gt;
&lt;br /&gt;
It implies the existence of a quantity called the [[entropy]] of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
&lt;br /&gt;
It implies the existence of a quantity called the entropy of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
&lt;br /&gt;
这意味着热力学系统中存在一个叫做熵的量。了一个叫做热力学系统熵的量的存在。就这个数量而言，它意味着&lt;br /&gt;
&lt;br /&gt;
{{quote|When two initially isolated systems in separate but nearby regions of space, each in [[thermodynamic equilibrium]] with itself but not necessarily with each other, are then allowed to interact, they will eventually reach a mutual thermodynamic equilibrium. The sum of the [[entropy|entropies]] of the initially isolated systems is less than or equal to the total entropy of the final combination. Equality occurs just when the two original systems have all their respective intensive variables (temperature, pressure) equal; then the final system also has the same values.}}&amp;lt;br&amp;gt;&lt;br /&gt;
当两个最初隔离的系统分别位于彼此独立但不一定彼此处于热力学平衡的空间区域中，然后彼此相互作用时，它们最终将达到相互的热力学平衡。最初隔离的系统的熵之和小于或等于最终组合的总熵。当两个初始系统各自的强变量(温度、压力)相等时，才发生平等。那么最终的系统也有相同的值。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
第二定律适用于可逆和不可逆的多种过程。所有的自然过程都是不可逆的。可逆过程是一个有用的和方便的理论假设，但不发生在自然界。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
这种不可逆性的一个主要例子是通过传导或辐射进行的热传递。早在熵的概念被发现之前，人们就已经知道，当两个最初温度不同的物体直接进行热连接时，热量总是自发地从较热的物体流向较冷的物体。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
第二定律也告诉我们除了热传递之外的不可逆性，例如摩擦力和粘度，以及化学反应。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;需要熵的概念给该定律提供更广泛的范围。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, ''δQ'', is the product of the temperature (''T''), both of the system and of the sources or destination of the heat, with the increment (''dS'') of the system's conjugate variable, its [[entropy]] (''S'')&lt;br /&gt;
&lt;br /&gt;
According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, δQ, is the product of the temperature (T), both of the system and of the sources or destination of the heat, with the increment (dS) of the system's conjugate variable, its entropy (S)&lt;br /&gt;
&lt;br /&gt;
根据热力学第二定律，在理论上和假设的可逆传热中，传热元素δQ是系统和热源或热目的地的温度(t)与系统共轭变量熵（S）的增量(dS)的乘积&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学 delta q t  ，dS  ，. / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Entropy]] may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as ''disorder'' on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&amp;lt;ref&amp;gt;Ben-Naim, A. (2008). ''A Farewell to Entropy: Statistical Thermodynamics Based on Information'', World Scientific, New Jersey, {{ISBN|978-981-270-706-2}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Entropy may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as disorder on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&lt;br /&gt;
&lt;br /&gt;
当只知道宏观状态时，熵也可以被看作是对系统运动和构型的微观细节有关的物理度量。这种细节通常在微观或分子尺度上被称为无序。该定律声称，对于一个系统的两个给定的宏观指定状态，它们之间存在一个被称为熵差的量。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这种熵的差异定义了需要多少额外的微观物理信息来指定一个宏观指定状态，给定另一个宏观指定状态-通常是一个方便选择的参考状态，这可能是假定存在的，而不是明确陈述的。自然过程的最终条件始终包含着微观上特定的影响，而这些影响，从过程初始条件的宏观规定来看是无法被完全准确预测的。这就是为什么熵在自然过程中会增加——熵的增加告诉我们需要多少额外的微观信息来区分最终的宏观指定状态和最初的宏观指定状态。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Third law==&lt;br /&gt;
第三定律&lt;br /&gt;
&lt;br /&gt;
The [[third law of thermodynamics]] is sometimes stated as follows:&lt;br /&gt;
&lt;br /&gt;
The third law of thermodynamics is sometimes stated as follows:&lt;br /&gt;
&lt;br /&gt;
热力学第三定律可以表示为：&lt;br /&gt;
&lt;br /&gt;
:''The [[entropy]] of a perfect [[crystal]] of any pure substance approaches zero as the temperature approaches [[absolute zero]].''&lt;br /&gt;
&lt;br /&gt;
The entropy of a perfect crystal of any pure substance approaches zero as the temperature approaches absolute zero.&lt;br /&gt;
&lt;br /&gt;
当温度接近绝对零度时，任何纯物质的完整晶体的熵接近零。&lt;br /&gt;
&lt;br /&gt;
At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one [[microstate (statistical mechanics)|state with minimum energy]].  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one state with minimum energy.  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
在零温时，系统必须处于热能最小的状态。如果完美晶体只有一种能量最小的状态，则该说法成立。熵与可能的微状态数有关:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学知识，数学知识，欧米茄 / 数学&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Where ''S'' is the entropy of the system, ''k''&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; [[Boltzmann constant|Boltzmann's constant]], and ''Ω'' the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (''Ω''=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
&lt;br /&gt;
Where S is the entropy of the system, k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; Boltzmann's constant, and Ω the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (Ω=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
&lt;br /&gt;
其中 s 是系统的熵，k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt;是玻尔兹曼常数，以及Ω是微状态数(例如:可能的原子结构)。在绝对零度下只有一种微状态(Ω=1，因为纯物质的所有原子都是相同的，所以所有阶数都是相同的，因为只有一个组合)和 ln (1)=0。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
A more general form of the third law that applies to a system such as a [[glass]] that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
A more general form of the third law that applies to a system such as a glass that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
第三定律的一个更普遍的形式，适用于像玻璃这样的系统，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;可能有一个以上的微观上截然不同的能量状态，或可能有一个微观上截然不同的“冻结状态”，虽然不是一个严格意义上的的最低能量状态，也不是严格意义上的热力学平衡，&amp;lt;/font&amp;gt;'''在绝对零度:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]） “在绝对零度:”  “在绝对零度下”？&lt;br /&gt;
&lt;br /&gt;
:''The entropy of a system approaches a constant value as the temperature approaches zero.''&lt;br /&gt;
&lt;br /&gt;
The entropy of a system approaches a constant value as the temperature approaches zero.&lt;br /&gt;
&lt;br /&gt;
系统的熵随着温度接近绝对零度而接近一个恒定值。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The constant value (not necessarily zero) is called the [[residual entropy]] of the system.&lt;br /&gt;
&lt;br /&gt;
The constant value (not necessarily zero) is called the residual entropy of the system.&lt;br /&gt;
&lt;br /&gt;
这个常数(不一定是零)被称为系统的余熵。&lt;br /&gt;
&lt;br /&gt;
==History==&lt;br /&gt;
历史&lt;br /&gt;
&lt;br /&gt;
{{see also|Philosophy of thermal and statistical physics}}&amp;lt;br&amp;gt;&lt;br /&gt;
热学和统计物理学的哲学&lt;br /&gt;
&lt;br /&gt;
[[Mechanical equivalent of heat|Circa 1797, Count Rumford (born Benjamin Thompson)]] showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by [[Nicolas Léonard Sadi Carnot|Sadi Carnot]] in 1824. By 1860, as formalized in the works of those such as [[Rudolf Clausius]] and [[William Thomson, 1st Baron Kelvin|William Thomson]], two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist [[Josiah Willard Gibbs]], in his memoir ''Graphical Methods in the Thermodynamics of Fluids'', clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
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Circa 1797, Count Rumford (born Benjamin Thompson) showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by Sadi Carnot in 1824. By 1860, as formalized in the works of those such as Rudolf Clausius and William Thomson, two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist Josiah Willard Gibbs, in his memoir Graphical Methods in the Thermodynamics of Fluids, clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
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大约在1797年，拉姆福德(出生于本杰明·汤普森)表明，无休止的机械作用可以从固定数量的工作物质中产生无限量的热量，从而挑战了热量理论。该理论认为在固定数量的工作物质中会有有限的热量 / 能量。1824年，萨迪·卡诺建立了第一个热力学原理，也就是后来的热力学第二定律。到1860年，正如鲁道夫 · 克劳修斯和威廉 · 汤姆森等人的著作所正式规定的那样，已经确立的两个热力学原理得到了发展，第一个原理和第二个原理，后来被重新定义为热力学定律。例如，1873年，热力学学家乔赛亚·威拉德·吉布斯在他的回忆录《流体热力学的图解法》中明确阐述了热力学的前两个绝对定律。整个20世纪的一些教科书对这些定律进行了不同的编号。在一些与化学无关的领域，第二定律被认为仅仅处理热机的效率问题，而所谓的第三定律则处理熵的增加问题。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;直接定义熵计算的零律不被认为是一条定律。&amp;lt;/font&amp;gt;'''这种分离逐渐形成了第二定律，现代第三定律被广泛采用。&lt;br /&gt;
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==See also==&lt;br /&gt;
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*化学热力学 [[Chemical thermodynamics]]&lt;br /&gt;
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*守恒定律 [[Conservation law (physics)|Conservation law]]&lt;br /&gt;
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*熵增 [[Entropy production]]&lt;br /&gt;
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*金斯伯格定理 [[Ginsberg's theorem]]&lt;br /&gt;
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*宇宙热寂 [[Heat death of the universe]]&lt;br /&gt;
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*H定理 [[H-theorem]]&lt;br /&gt;
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*科学规律 [[Laws of science]]&lt;br /&gt;
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*昂萨格倒易关系（有时被描述为热力学第四定律） [[Onsager reciprocal relations]] (sometimes described as a fourth law of thermodynamics)&lt;br /&gt;
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*统计力学 [[Statistical mechanics]]&lt;br /&gt;
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*热力学方程表 [[Table of thermodynamic equations]]&lt;br /&gt;
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==References==&amp;lt;br&amp;gt;&lt;br /&gt;
参考文献&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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* [[Peter Atkins|Atkins, Peter]] (2007). ''Four Laws That Drive the Universe''. OUP Oxford. {{ISBN|978-0199232369}}&lt;br /&gt;
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* Goldstein, Martin &amp;amp; Inge F. (1993). ''The Refrigerator and the Universe''. Harvard Univ. Press. {{ISBN|978-0674753259}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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* [http://www.bbc.co.uk/programmes/b06c06nd In Our Time: Perpetual Motion], BBC discussion about the Laws, with Ruth Gregory, Frank Close and Steven Bramwell, hosted by Melvyn Bragg, first broadcast 24 September 2015.&lt;br /&gt;
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[[Category:Laws of thermodynamics| ]]&lt;br /&gt;
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[[Category:Scientific laws]]&lt;br /&gt;
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Category:Scientific laws&lt;br /&gt;
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类别: 科学定律&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Laws of thermodynamics]]. Its edit history can be viewed at [[热力学定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14684</id>
		<title>热力学定律 Laws of thermodynamics</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14684"/>
		<updated>2020-10-01T15:40:26Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Third law */&lt;/p&gt;
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&lt;div&gt;本词条由Solitude初步翻译&lt;br /&gt;
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{{Thermodynamics|cTopic=Laws}}&amp;lt;br&amp;gt;&lt;br /&gt;
模板：热力学&lt;br /&gt;
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The '''laws of thermodynamics''' define physical quantities, such as [[temperature]], [[energy]], and [[entropy]], that characterize [[thermodynamic system]]s at [[thermodynamic equilibrium]]. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as [[perpetual motion]]. In addition to their use in [[thermodynamics]], they are important fundamental [[Physical law|laws]] of [[physics]] in general, and are applicable in other natural [[sciences]].&lt;br /&gt;
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The laws of thermodynamics define physical quantities, such as temperature, energy, and entropy, that characterize thermodynamic systems at thermodynamic equilibrium. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as perpetual motion. In addition to their use in thermodynamics, they are important fundamental laws of physics in general, and are applicable in other natural sciences.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学定律The laws of thermodynamics&amp;lt;/font&amp;gt;'''定义了许多物理量，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 温度temperature&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量energy&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;熵 entropy&amp;lt;/font&amp;gt;'''，这些物理量表征处于热力学平衡的热力学系统。这些定律描述了这些物理量之间的关系，并构成了排除某些现象的可能性的基础，例如永动机。除了在热力学中的应用之外，它们也是一般物理学中的重要基本定律，也适用于其他自然科学。&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;&amp;gt;Guggenheim, E.A. (1985). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', seventh edition, North Holland, Amsterdam, {{ISBN|0-444-86951-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;&amp;gt;Kittel, C. Kroemer, H. (1980). ''Thermal Physics'', second edition, W.H. Freeman, San Francisco, {{ISBN|0-7167-1088-9}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;&amp;gt;Adkins, C.J. (1968). ''Equilibrium Thermodynamics'', McGraw-Hill, London, {{ISBN|0-07-084057-1}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics. Foundations, Applications, Frontiers'', Springer, Berlin, {{ISBN|978-3-540-74252-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |author1=Chris Vuille |author2=Serway, Raymond A. |author3=Faughn, Jerry S. |title=College physics |publisher=Brooks/Cole, Cengage Learning |location=Belmont, CA |year=2009 |isbn=978-0-495-38693-3 |oclc= |doi= |accessdate= | page =  355 |url=https://books.google.com/books?id=CX0u0mIOZ44C&amp;amp;pg=PT355}}&amp;lt;/ref&amp;gt;. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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传统上，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学Thermodynamics&amp;lt;/font&amp;gt;'''描述了三个基本定律：（简单的按顺序命名为）第一定律、第二定律和第三定律。此外，在前三个定律确立之后，人们认识到可以提出另一个对这三个定律更为基本的定律，即第零定律。&lt;br /&gt;
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The [[zeroth law of thermodynamics]] defines [[thermal equilibrium]] and forms a basis for the definition of [[temperature]]:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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The zeroth law of thermodynamics defines thermal equilibrium and forms a basis for the definition of temperature:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第零定律zeroth law of thermodynamics&amp;lt;/font&amp;gt;'''定义了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热平衡thermal equilibrium&amp;lt;/font&amp;gt;'''，并为温度定义奠定了基础：如果两个系统都与第三个系统处于热平衡，则它们彼此也处于热平衡。&lt;br /&gt;
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The [[first law of thermodynamics]]: When energy passes, as [[Work (thermodynamics)|work]], as [[heat]], or with matter, into or out of a system, the system's [[internal energy]] changes in accord with the law of [[conservation of energy]]. Equivalently, [[perpetual motion machine of the first kind|perpetual motion machines of the first kind]] (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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The first law of thermodynamics: When energy passes, as work, as heat, or with matter, into or out of a system, the system's internal energy changes in accord with the law of conservation of energy. Equivalently, perpetual motion machines of the first kind (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第一定律first law of thermodynamics&amp;lt;/font&amp;gt;''':当能量以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 功work&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热heat&amp;lt;/font&amp;gt;'''或物质的形式进入或离开一个系统时，系统的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 内能 internal energy&amp;lt;/font&amp;gt;'''根据能量守恒定律发生变化。同样地，第一类永动机机器(不需要能量输入就能工作的机器)是不可能造成的。&lt;br /&gt;
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The [[second law of thermodynamics]]: In a natural [[thermodynamic process]], the sum of the [[entropy|entropies]] of the interacting [[thermodynamic system]]s increases. Equivalently, [[perpetual motion machine of the second kind|perpetual motion machines of the second kind]] (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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The second law of thermodynamics: In a natural thermodynamic process, the sum of the entropies of the interacting thermodynamic systems increases. Equivalently, perpetual motion machines of the second kind (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第二定律second law of thermodynamics&amp;lt;/font&amp;gt;''':在自然热力学过程中，相互作用的热力学系统的熵的总和增加。同样地，第二类永动机(自发地把热能转化为机械功的机器)是不可能制造出的。&lt;br /&gt;
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The [[third law of thermodynamics]]: The [[entropy]] of a system approaches a constant value as the temperature approaches [[absolute zero]].&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;  With the exception of non-crystalline solids ([[glass]]es) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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The third law of thermodynamics: The entropy of a system approaches a constant value as the temperature approaches absolute zero.  With the exception of non-crystalline solids (glasses) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第三定律third law of thermodynamics&amp;lt;/font&amp;gt;''':当温度趋于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 绝对零度absolute zero&amp;lt;/font&amp;gt;'''时，系统的熵趋于一个定值。除非晶固体(玻璃)外，系统在绝对零度时的熵通常接近于零。&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;DGM 1962&amp;quot;&amp;gt;De Groot, S.R., Mazur, P. (1962). ''Non-equilibrium Thermodynamics'', North Holland, Amsterdam.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Glansdorff and Prigogine 1971&amp;quot;&amp;gt;Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability and Fluctuations'', Wiley-Interscience, London, {{ISBN|0-471-30280-5}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&lt;br /&gt;
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有人提出了其他的定律，但没有一个达到公认的四个定律的普遍性，也没有在标准教科书中被讨论。&lt;br /&gt;
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==Zeroth law==&lt;br /&gt;
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热力学零定律&lt;br /&gt;
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The [[zeroth law of thermodynamics]] may be stated in the following form:&lt;br /&gt;
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The zeroth law of thermodynamics may be stated in the following form:&lt;br /&gt;
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热力学第零定律可以用以下形式表示：&lt;br /&gt;
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{{quote|If two systems are both in thermal equilibrium with a third system then they are in thermal equilibrium with each other.&amp;lt;ref&amp;gt;Guggenheim (1985), p.&amp;amp;nbsp;8.&amp;lt;/ref&amp;gt;}}&amp;lt;br&amp;gt;&lt;br /&gt;
如果两个系统都与第三个系统处于热平衡状态，则它们彼此处于热平衡状态.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a [[mass]] of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a mass of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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该定律旨在允许一个经验参数存在，即温度，作为热力学系统的一种性质，即相互处于热平衡的系统具有相同的温度。这里所述的定律适用于特定的物质(例如一定量的气体物质）来匹配其他物质的温度，但不能证明温度是一个可以用实数来衡量的量。&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter.&amp;lt;ref&amp;gt;Sommerfeld, A. (1951/1955). ''Thermodynamics and Statistical Mechanics'', vol. 5 of ''Lectures on Theoretical Physics'', edited by F. Bopp, J. Meixner, translated by J. Kestin, Academic Press, New York, p. 1.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1978). The concepts of thermodynamics, in ''Contemporary Developments in Continuum Mechanics and Partial Differential Equations. Proceedings of the International Symposium on Continuum Mechanics and Partial Differential Equations, Rio de Janeiro, August 1977'', edited by G.M. de La Penha, L.A.J. Medeiros, North-Holland, Amsterdam, {{ISBN|0-444-85166-6}}, pp. 411–51.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1986). Chapter 1, 'An Outline of Thermodynamical Structure', pp. 3–32, in ''New Perspectives in Thermodynamics'', edited by J. Serrin, Springer, Berlin, {{ISBN|3-540-15931-2}}.&amp;lt;/ref&amp;gt; Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter. Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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虽然这个版本的定律是最常见的陈述版本之一，但它只是被称为“第零定律”的众多陈述之一。有些陈述更进一步，提供了一个重要的物理事实，即温度是一维的，并且从概念上把物体按实数顺序由冷到热排列。也许对于“第零定律”并没有唯一的“最佳的表述”，因为在文献中有一系列的热力学原理的表述，每一种都要求对热力学定律作出各自适当的说明。&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its [[Conjugate variables (thermodynamics)|conjugate variable]]. Such a temperature definition is said to be 'empirical'.&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (first edition 1968), third edition 1983, Cambridge University Press, {{ISBN|0-521-25445-0}}, pp. 18–20.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics Press, New York, {{ISBN|0-88318-797-3}}, p. 26.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), ''The Concepts of Classical Thermodynamics'', Cambridge University Press, London, pp. 30, 34ff, 46f, 83.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}, p. 22.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge, p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Harold A. Wilson (physicist)|Wilson, H.A.]] (1966). ''Thermodynamics and Statistical Mechanics'', Cambridge University Press, London, pp. 4, 8, 68, 86, 97, 311.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its conjugate variable. Such a temperature definition is said to be 'empirical'.&lt;br /&gt;
&lt;br /&gt;
虽然这些关于温度和热平衡的概念是热力学的基础，并在19世纪得到了清楚的阐述，但是直到20世纪30年代福勒和古根海姆这样做的时候，人们才普遍感觉到需要对上述定律进行明确编号，而这时第一定律、第二定律和第三定律已经得到广泛的理解和认可。因此，它被称为第零定律。该定律作为早期定律基础的重要性在于，它允许以非循环的方式定义温度，而无需参考熵及其共轭变量。这样的温度定义被称为“经验主义”。&lt;br /&gt;
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==First law==&lt;br /&gt;
第一定律&lt;br /&gt;
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The '''first law of thermodynamics''' is a version of the law of [[conservation of energy]], adapted for [[thermodynamic system]]s.&lt;br /&gt;
&lt;br /&gt;
The first law of thermodynamics is a version of the law of conservation of energy, adapted for thermodynamic systems.&lt;br /&gt;
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热力学第一定律是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量守恒conservation of energy&amp;lt;/font&amp;gt;'''定律的一个版本，适用于热力学系统。&lt;br /&gt;
&lt;br /&gt;
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The law of conservation of energy states that the total [[energy]] of an [[isolated system]] is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
&lt;br /&gt;
The law of conservation of energy states that the total energy of an isolated system is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
&lt;br /&gt;
能量守恒定律指出，一个孤立系统的总能量是恒定的;能量可以从一种形式转化为另一种形式，但能量既不会凭空产生也不会凭空消失。&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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对于一个没有物质转移的热力学过程，第一定律通常用公式表示为：&lt;br /&gt;
&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
系统 q-w / math,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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where {{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the change in the [[internal energy]]  of a [[Thermodynamic system#Closed system|closed system]], {{math|''Q''}} denotes the quantity of energy supplied ''to'' the system as [[heat]], and {{math|''W''}} denotes the amount of [[Work (thermodynamics)|thermodynamic work]] (expressed here with a negative sign) done ''by'' the system on its surroundings. (An [[First law of thermodynamics#Sign conventions|alternate sign convention]] not used in this article is to define {{math|''W''}} as the work done ''on'' the system.) &lt;br /&gt;
&lt;br /&gt;
where  denotes the change in the internal energy  of a closed system,  denotes the quantity of energy supplied to the system as heat, and  denotes the amount of thermodynamic work (expressed here with a negative sign) done by the system on its surroundings. (An alternate sign convention not used in this article is to define  as the work done on the system.) &lt;br /&gt;
&lt;br /&gt;
其中{{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示一个封闭系统内部能量的变化，{{math|''Q''}} 表示外界对系统传递的热量，{{math|''W''}}表示该系统对周围环境所做的热力学功(在这里用负号表示)。(本文中没有使用的另一个符号约定是定义对系统所做的功。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意到前面的heat 译为了“热”  {{math|''Q''}} 表？示外界对系统传递的热量   热量是否为“热”？&lt;br /&gt;
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In the case of a two-stage [[thermodynamic cycle]] of a closed system, which returns to its original state, the heat {{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}} supplied to the system in one stage of the cycle, minus the heat {{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}} removed from it in the other stage, plus the [[Work (thermodynamics)|thermodynamic work]] added to the system, {{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}, equals the thermodynamic work that leaves the system {{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}.&lt;br /&gt;
&lt;br /&gt;
In the case of a two-stage thermodynamic cycle of a closed system, which returns to its original state, the heat  supplied to the system in one stage of the cycle, minus the heat  removed from it in the other stage, plus the thermodynamic work added to the system, , equals the thermodynamic work that leaves the system .&lt;br /&gt;
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在封闭系统的两级'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力循环thermodynamic cycle&amp;lt;/font&amp;gt;'''中，该循环回到其原始状态，在循环的一个阶段向系统提供的热量{{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，减去另一个阶段从系统中去除的热量{{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}，加上对系统做的的热力学功{{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，等于离开系统的做的热力学功{{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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0 / math&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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因此，一个完整的循环,&lt;br /&gt;
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::Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is: {{math|''Q'' {{=}} 0}}.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is:  0}}.&lt;br /&gt;
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对于绝热系统（绝热隔离）的特殊情况，绝热隔离系统内能的变化只能是系统做功的结果，因为绝热假设是: 0}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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对于包括物质转移的过程，还需要进一步的说明: ‘在充分考虑了各个系统的基准参考状态后，当两个系统---- '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;它们可能由不同的化学成分组成，最初只是被防渗墙隔开，或者是被隔离---- 通过移除墙体的热力学操作结合成一个新系统&amp;lt;/font&amp;gt;'''，那么&lt;br /&gt;
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::&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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数学 u + u 2 / math,&lt;br /&gt;
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where {{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the internal energy  of the combined system, and  {{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} denote the internal energies of the respective separated systems.'&lt;br /&gt;
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where  denotes the internal energy  of the combined system, and   and  denote the internal energies of the respective separated systems.'&lt;br /&gt;
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其中{{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示组合系统的内能，{{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} 表示各自分离系统的内能&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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第一定律包括以下几个原则:&lt;br /&gt;
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* The [[Conservation of energy|law of conservation of energy]].&lt;br /&gt;
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::This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
&lt;br /&gt;
This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
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能量既不能被创造也不能被消灭。但是，能量可以改变形式，能量可以从一个地方流动到另一个地方。能量守恒定律的一个特殊结果是，孤立系统的总能量不变。&lt;br /&gt;
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* The concept of [[internal energy]] and its relationship to temperature.&amp;lt;br&amp;gt;&lt;br /&gt;
内能的概念及其与温度关系。&lt;br /&gt;
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::If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has [[kinetic energy]]. If the system as a whole is in an externally imposed force field (e.g. gravity), it has [[potential energy]] relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
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If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has kinetic energy. If the system as a whole is in an externally imposed force field (e.g. gravity), it has potential energy relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
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如果系统具有确定的温度，则其总能量具有三个可区分的成分，分别称为动能（由与系统整体运动产生的能量），势能（由外部施加的立场产生的能量，比如重力）和内能（热热力学的基本量）。内能概念的确立将热力学第一定律与一般的能量守恒定律区分开来。&lt;br /&gt;
  ——Solitude(讨论)&lt;br /&gt;
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::&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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::The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, {{math|''U''}}, and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
&lt;br /&gt;
The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, , and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
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物质的内能可以解释为其组成原子的不规则微观运动的不同动能和它们之间相互作用的势能的总和。这些微观能量统称为物质的内能，并由宏观热力学性质来解释。组成原子的微观运动的总和随着系统温度的升高而增加; 这假设在系统的微观层次上没有其他的相互作用，例如化学反应、组成原子相互间的势能。&lt;br /&gt;
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* [[Work (physics)|Work]] is a process of transferring energy to or from a system in ways that can be described by macroscopic mechanical forces exerted by factors in the surroundings, outside the system. Examples are an externally driven shaft agitating a stirrer within the system, or an externally imposed electric field that polarizes the material of the system, or a piston that compresses the system. Unless otherwise stated, it is customary to treat work as occurring without its [[dissipation]] to the surroundings. Practically speaking, in all natural process, some of the work is dissipated by internal friction or viscosity. The work done by the system can come from its overall kinetic energy, from its overall potential energy, or from its internal energy.&lt;br /&gt;
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做功是一种以某种方式向系统传递能量或从系统传递能量的过程，其方式可以用作用在系统外部及其周围环境之间的宏观机械力来描述。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;例如，外部驱动的轴在系统内搅动，或外部施加的电场使系统材料极化，或活塞压缩系统。&amp;lt;/font&amp;gt;'''除非另有说明，习惯上把做功看作是在不影响周围环境的情况下发生的。实际上，在一切自然过程中，有些功是因内摩擦或粘黏而消失的。系统所做的功，可以来自于它的总动能，总势能或者它的内能。&lt;br /&gt;
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::For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's [[gravitational potential energy]]. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's gravitational potential energy. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
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例如，当一台机器(不是系统的一部分)将系统向上提升时，一些能量就会从机器转移到系统。系统的能量随着系统所做功的增加而增加，在这种特殊的情况下，系统的能量增加表现为系统的重力势能的增加。对系统做的增加了系统的势能:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“对系统做的增加了系统的势能”  需要对全文进行通读 这里少词&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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::Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
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Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
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或者一般来说，以功的形式加入系统的能量可以分为动能、势能或内能:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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* When matter is transferred into a system, that masses' associated internal energy and potential energy are transferred with it.&amp;lt;br&amp;gt;&lt;br /&gt;
当物质转移到一个系统中时，物质相关的内能和势能也随之转移。&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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在 Delta u { system } / math 中的 math  left (u，Delta m  right)&lt;br /&gt;
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&lt;br /&gt;
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::where {{math|''u''}} denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and {{math|Δ''M''}} denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
where  denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and  denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
其中{{math|''u''}}表示在周围环境中测量的转移物质的单位质量的内能; {{math|Δ''M''}}表示被转移物质的数量。&lt;br /&gt;
&lt;br /&gt;
* The flow of [[heat]] is a form of energy transfer.&amp;lt;br&amp;gt;&lt;br /&gt;
热的流动是能量传递的一种形式。&lt;br /&gt;
&lt;br /&gt;
::Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
加热是一个将能量转移到系统中或从系统中转移出的自然过程，而不是通过做功或物质的转移。热量只能从较热的系统直接传递到较冷的系统。&lt;br /&gt;
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:::If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
如果系统具有不渗透物质的刚性壁，那么能量不能通过做功传入或传出系统，而且没有外部的远程力场影响系统以改变其内能，那么内能只能通过以热的形式进行传递来改变:&lt;br /&gt;
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&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
系统的 q / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where {{math|''Q''}} denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
where  denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
其中 {{math|''Q''}}表示以热量形式传递到系统中的能量。&lt;br /&gt;
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&lt;br /&gt;
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Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
结合这些原理，就可以得出传统的热力学第一定律的表述: 不可能制造一台在没有等量能量输入的情况下不断做功的机器。或者更简单地说，第一类永动机是不可能造成的。&lt;br /&gt;
&lt;br /&gt;
==Second law==&lt;br /&gt;
第二定律&lt;br /&gt;
&lt;br /&gt;
The [[second law of thermodynamics]] indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
The second law of thermodynamics indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
热力学第二定律表明了自然过程的不可逆性，并且在许多情况下，自然过程的趋向于物质很能量的空间均匀性，特别是温度。它可以用各种有趣而重要的方式来表达。&lt;br /&gt;
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    &lt;br /&gt;
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It implies the existence of a quantity called the [[entropy]] of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
&lt;br /&gt;
It implies the existence of a quantity called the entropy of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
&lt;br /&gt;
这意味着热力学系统中存在一个叫做熵的量。了一个叫做热力学系统熵的量的存在。就这个数量而言，它意味着&lt;br /&gt;
&lt;br /&gt;
{{quote|When two initially isolated systems in separate but nearby regions of space, each in [[thermodynamic equilibrium]] with itself but not necessarily with each other, are then allowed to interact, they will eventually reach a mutual thermodynamic equilibrium. The sum of the [[entropy|entropies]] of the initially isolated systems is less than or equal to the total entropy of the final combination. Equality occurs just when the two original systems have all their respective intensive variables (temperature, pressure) equal; then the final system also has the same values.}}&amp;lt;br&amp;gt;&lt;br /&gt;
当两个最初隔离的系统分别位于彼此独立但不一定彼此处于热力学平衡的空间区域中，然后彼此相互作用时，它们最终将达到相互的热力学平衡。最初隔离的系统的熵之和小于或等于最终组合的总熵。当两个初始系统各自的强变量(温度、压力)相等时，才发生平等。那么最终的系统也有相同的值。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
第二定律适用于可逆和不可逆的多种过程。所有的自然过程都是不可逆的。可逆过程是一个有用的和方便的理论假设，但不发生在自然界。&lt;br /&gt;
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A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
这种不可逆性的一个主要例子是通过传导或辐射进行的热传递。早在熵的概念被发现之前，人们就已经知道，当两个最初温度不同的物体直接进行热连接时，热量总是自发地从较热的物体流向较冷的物体。&lt;br /&gt;
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The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
第二定律也告诉我们除了热传递之外的不可逆性，例如摩擦力和粘度，以及化学反应。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;需要熵的概念给该定律提供更广泛的范围。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, ''δQ'', is the product of the temperature (''T''), both of the system and of the sources or destination of the heat, with the increment (''dS'') of the system's conjugate variable, its [[entropy]] (''S'')&lt;br /&gt;
&lt;br /&gt;
According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, δQ, is the product of the temperature (T), both of the system and of the sources or destination of the heat, with the increment (dS) of the system's conjugate variable, its entropy (S)&lt;br /&gt;
&lt;br /&gt;
根据热力学第二定律，在理论上和假设的可逆传热中，传热元素δQ是系统和热源或热目的地的温度(t)与系统共轭变量熵（S）的增量(dS)的乘积&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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:&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学 delta q t  ，dS  ，. / math&lt;br /&gt;
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[[Entropy]] may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as ''disorder'' on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&amp;lt;ref&amp;gt;Ben-Naim, A. (2008). ''A Farewell to Entropy: Statistical Thermodynamics Based on Information'', World Scientific, New Jersey, {{ISBN|978-981-270-706-2}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Entropy may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as disorder on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&lt;br /&gt;
&lt;br /&gt;
当只知道宏观状态时，熵也可以被看作是对系统运动和构型的微观细节有关的物理度量。这种细节通常在微观或分子尺度上被称为无序。该定律声称，对于一个系统的两个给定的宏观指定状态，它们之间存在一个被称为熵差的量。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这种熵的差异定义了需要多少额外的微观物理信息来指定一个宏观指定状态，给定另一个宏观指定状态-通常是一个方便选择的参考状态，这可能是假定存在的，而不是明确陈述的。自然过程的最终条件始终包含着微观上特定的影响，而这些影响，从过程初始条件的宏观规定来看是无法被完全准确预测的。这就是为什么熵在自然过程中会增加——熵的增加告诉我们需要多少额外的微观信息来区分最终的宏观指定状态和最初的宏观指定状态。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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&lt;br /&gt;
==Third law==&lt;br /&gt;
第三定律&lt;br /&gt;
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The [[third law of thermodynamics]] is sometimes stated as follows:&lt;br /&gt;
&lt;br /&gt;
The third law of thermodynamics is sometimes stated as follows:&lt;br /&gt;
&lt;br /&gt;
热力学第三定律可以表示为：&lt;br /&gt;
&lt;br /&gt;
:''The [[entropy]] of a perfect [[crystal]] of any pure substance approaches zero as the temperature approaches [[absolute zero]].''&lt;br /&gt;
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The entropy of a perfect crystal of any pure substance approaches zero as the temperature approaches absolute zero.&lt;br /&gt;
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当温度接近绝对零度时，任何纯物质的完整晶体的熵接近零。&lt;br /&gt;
&lt;br /&gt;
At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one [[microstate (statistical mechanics)|state with minimum energy]].  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one state with minimum energy.  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
在零温时，系统必须处于热能最小的状态。如果完美晶体只有一种能量最小的状态，则该说法成立。熵与可能的微状态数有关:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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::&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学知识，数学知识，欧米茄 / 数学&lt;br /&gt;
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Where ''S'' is the entropy of the system, ''k''&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; [[Boltzmann constant|Boltzmann's constant]], and ''Ω'' the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (''Ω''=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
&lt;br /&gt;
Where S is the entropy of the system, k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; Boltzmann's constant, and Ω the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (Ω=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
&lt;br /&gt;
其中 s 是系统的熵，k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt;是玻尔兹曼常数，以及Ω是微状态数(例如:可能的原子结构)。在绝对零度下只有一种微状态(Ω=1，因为纯物质的所有原子都是相同的，所以所有阶数都是相同的，因为只有一个组合)和 ln (1)=0。&lt;br /&gt;
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A more general form of the third law that applies to a system such as a [[glass]] that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
A more general form of the third law that applies to a system such as a glass that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
第三定律的一个更普遍的形式，适用于像玻璃这样的系统，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;可能有一个以上的微观上截然不同的能量状态，或可能有一个微观上截然不同的“冻结状态”，虽然不是一个严格意义上的的最低能量状态，也不是严格意义上的热力学平衡，&amp;lt;/font&amp;gt;'''在绝对零度:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]） “在绝对零度:&lt;br /&gt;
”  “在绝对零度下”？&lt;br /&gt;
&lt;br /&gt;
:''The entropy of a system approaches a constant value as the temperature approaches zero.''&lt;br /&gt;
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The entropy of a system approaches a constant value as the temperature approaches zero.&lt;br /&gt;
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系统的熵随着温度接近绝对零度而接近一个恒定值。&lt;br /&gt;
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The constant value (not necessarily zero) is called the [[residual entropy]] of the system.&lt;br /&gt;
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The constant value (not necessarily zero) is called the residual entropy of the system.&lt;br /&gt;
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这个常数(不一定是零)被称为系统的余熵。&lt;br /&gt;
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==History==&lt;br /&gt;
历史&lt;br /&gt;
&lt;br /&gt;
{{see also|Philosophy of thermal and statistical physics}}&amp;lt;br&amp;gt;&lt;br /&gt;
热学和统计物理学的哲学&lt;br /&gt;
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[[Mechanical equivalent of heat|Circa 1797, Count Rumford (born Benjamin Thompson)]] showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by [[Nicolas Léonard Sadi Carnot|Sadi Carnot]] in 1824. By 1860, as formalized in the works of those such as [[Rudolf Clausius]] and [[William Thomson, 1st Baron Kelvin|William Thomson]], two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist [[Josiah Willard Gibbs]], in his memoir ''Graphical Methods in the Thermodynamics of Fluids'', clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
&lt;br /&gt;
Circa 1797, Count Rumford (born Benjamin Thompson) showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by Sadi Carnot in 1824. By 1860, as formalized in the works of those such as Rudolf Clausius and William Thomson, two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist Josiah Willard Gibbs, in his memoir Graphical Methods in the Thermodynamics of Fluids, clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
&lt;br /&gt;
大约在1797年，拉姆福德(出生于本杰明·汤普森)表明，无休止的机械作用可以从固定数量的工作物质中产生无限量的热量，从而挑战了热量理论。该理论认为在固定数量的工作物质中会有有限的热量 / 能量。1824年，萨迪·卡诺建立了第一个热力学原理，也就是后来的热力学第二定律。到1860年，正如鲁道夫 · 克劳修斯和威廉 · 汤姆森等人的著作所正式规定的那样，已经确立的两个热力学原理得到了发展，第一个原理和第二个原理，后来被重新定义为热力学定律。例如，1873年，热力学学家乔赛亚·威拉德·吉布斯在他的回忆录《流体热力学的图解法》中明确阐述了热力学的前两个绝对定律。整个20世纪的一些教科书对这些定律进行了不同的编号。在一些与化学无关的领域，第二定律被认为仅仅处理热机的效率问题，而所谓的第三定律则处理熵的增加问题。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;直接定义熵计算的零律不被认为是一条定律。&amp;lt;/font&amp;gt;'''这种分离逐渐形成了第二定律，现代第三定律被广泛采用。&lt;br /&gt;
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==See also==&lt;br /&gt;
&lt;br /&gt;
*化学热力学 [[Chemical thermodynamics]]&lt;br /&gt;
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*守恒定律 [[Conservation law (physics)|Conservation law]]&lt;br /&gt;
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*熵增 [[Entropy production]]&lt;br /&gt;
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*金斯伯格定理 [[Ginsberg's theorem]]&lt;br /&gt;
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*宇宙热寂 [[Heat death of the universe]]&lt;br /&gt;
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*H定理 [[H-theorem]]&lt;br /&gt;
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*科学规律 [[Laws of science]]&lt;br /&gt;
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*昂萨格倒易关系（有时被描述为热力学第四定律） [[Onsager reciprocal relations]] (sometimes described as a fourth law of thermodynamics)&lt;br /&gt;
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*统计力学 [[Statistical mechanics]]&lt;br /&gt;
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*热力学方程表 [[Table of thermodynamic equations]]&lt;br /&gt;
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==References==&amp;lt;br&amp;gt;&lt;br /&gt;
参考文献&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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* [[Peter Atkins|Atkins, Peter]] (2007). ''Four Laws That Drive the Universe''. OUP Oxford. {{ISBN|978-0199232369}}&lt;br /&gt;
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* Goldstein, Martin &amp;amp; Inge F. (1993). ''The Refrigerator and the Universe''. Harvard Univ. Press. {{ISBN|978-0674753259}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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* [http://www.bbc.co.uk/programmes/b06c06nd In Our Time: Perpetual Motion], BBC discussion about the Laws, with Ruth Gregory, Frank Close and Steven Bramwell, hosted by Melvyn Bragg, first broadcast 24 September 2015.&lt;br /&gt;
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[[Category:Laws of thermodynamics| ]]&lt;br /&gt;
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[[Category:Scientific laws]]&lt;br /&gt;
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Category:Scientific laws&lt;br /&gt;
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类别: 科学定律&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Laws of thermodynamics]]. Its edit history can be viewed at [[热力学定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14683</id>
		<title>热力学定律 Laws of thermodynamics</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14683"/>
		<updated>2020-10-01T15:38:22Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* First law */&lt;/p&gt;
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&lt;div&gt;本词条由Solitude初步翻译&lt;br /&gt;
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{{Thermodynamics|cTopic=Laws}}&amp;lt;br&amp;gt;&lt;br /&gt;
模板：热力学&lt;br /&gt;
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The '''laws of thermodynamics''' define physical quantities, such as [[temperature]], [[energy]], and [[entropy]], that characterize [[thermodynamic system]]s at [[thermodynamic equilibrium]]. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as [[perpetual motion]]. In addition to their use in [[thermodynamics]], they are important fundamental [[Physical law|laws]] of [[physics]] in general, and are applicable in other natural [[sciences]].&lt;br /&gt;
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The laws of thermodynamics define physical quantities, such as temperature, energy, and entropy, that characterize thermodynamic systems at thermodynamic equilibrium. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as perpetual motion. In addition to their use in thermodynamics, they are important fundamental laws of physics in general, and are applicable in other natural sciences.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学定律The laws of thermodynamics&amp;lt;/font&amp;gt;'''定义了许多物理量，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 温度temperature&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量energy&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;熵 entropy&amp;lt;/font&amp;gt;'''，这些物理量表征处于热力学平衡的热力学系统。这些定律描述了这些物理量之间的关系，并构成了排除某些现象的可能性的基础，例如永动机。除了在热力学中的应用之外，它们也是一般物理学中的重要基本定律，也适用于其他自然科学。&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;&amp;gt;Guggenheim, E.A. (1985). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', seventh edition, North Holland, Amsterdam, {{ISBN|0-444-86951-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;&amp;gt;Kittel, C. Kroemer, H. (1980). ''Thermal Physics'', second edition, W.H. Freeman, San Francisco, {{ISBN|0-7167-1088-9}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;&amp;gt;Adkins, C.J. (1968). ''Equilibrium Thermodynamics'', McGraw-Hill, London, {{ISBN|0-07-084057-1}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics. Foundations, Applications, Frontiers'', Springer, Berlin, {{ISBN|978-3-540-74252-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |author1=Chris Vuille |author2=Serway, Raymond A. |author3=Faughn, Jerry S. |title=College physics |publisher=Brooks/Cole, Cengage Learning |location=Belmont, CA |year=2009 |isbn=978-0-495-38693-3 |oclc= |doi= |accessdate= | page =  355 |url=https://books.google.com/books?id=CX0u0mIOZ44C&amp;amp;pg=PT355}}&amp;lt;/ref&amp;gt;. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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传统上，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学Thermodynamics&amp;lt;/font&amp;gt;'''描述了三个基本定律：（简单的按顺序命名为）第一定律、第二定律和第三定律。此外，在前三个定律确立之后，人们认识到可以提出另一个对这三个定律更为基本的定律，即第零定律。&lt;br /&gt;
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The [[zeroth law of thermodynamics]] defines [[thermal equilibrium]] and forms a basis for the definition of [[temperature]]:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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The zeroth law of thermodynamics defines thermal equilibrium and forms a basis for the definition of temperature:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第零定律zeroth law of thermodynamics&amp;lt;/font&amp;gt;'''定义了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热平衡thermal equilibrium&amp;lt;/font&amp;gt;'''，并为温度定义奠定了基础：如果两个系统都与第三个系统处于热平衡，则它们彼此也处于热平衡。&lt;br /&gt;
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The [[first law of thermodynamics]]: When energy passes, as [[Work (thermodynamics)|work]], as [[heat]], or with matter, into or out of a system, the system's [[internal energy]] changes in accord with the law of [[conservation of energy]]. Equivalently, [[perpetual motion machine of the first kind|perpetual motion machines of the first kind]] (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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The first law of thermodynamics: When energy passes, as work, as heat, or with matter, into or out of a system, the system's internal energy changes in accord with the law of conservation of energy. Equivalently, perpetual motion machines of the first kind (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第一定律first law of thermodynamics&amp;lt;/font&amp;gt;''':当能量以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 功work&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热heat&amp;lt;/font&amp;gt;'''或物质的形式进入或离开一个系统时，系统的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 内能 internal energy&amp;lt;/font&amp;gt;'''根据能量守恒定律发生变化。同样地，第一类永动机机器(不需要能量输入就能工作的机器)是不可能造成的。&lt;br /&gt;
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The [[second law of thermodynamics]]: In a natural [[thermodynamic process]], the sum of the [[entropy|entropies]] of the interacting [[thermodynamic system]]s increases. Equivalently, [[perpetual motion machine of the second kind|perpetual motion machines of the second kind]] (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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The second law of thermodynamics: In a natural thermodynamic process, the sum of the entropies of the interacting thermodynamic systems increases. Equivalently, perpetual motion machines of the second kind (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第二定律second law of thermodynamics&amp;lt;/font&amp;gt;''':在自然热力学过程中，相互作用的热力学系统的熵的总和增加。同样地，第二类永动机(自发地把热能转化为机械功的机器)是不可能制造出的。&lt;br /&gt;
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The [[third law of thermodynamics]]: The [[entropy]] of a system approaches a constant value as the temperature approaches [[absolute zero]].&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;  With the exception of non-crystalline solids ([[glass]]es) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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The third law of thermodynamics: The entropy of a system approaches a constant value as the temperature approaches absolute zero.  With the exception of non-crystalline solids (glasses) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第三定律third law of thermodynamics&amp;lt;/font&amp;gt;''':当温度趋于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 绝对零度absolute zero&amp;lt;/font&amp;gt;'''时，系统的熵趋于一个定值。除非晶固体(玻璃)外，系统在绝对零度时的熵通常接近于零。&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;DGM 1962&amp;quot;&amp;gt;De Groot, S.R., Mazur, P. (1962). ''Non-equilibrium Thermodynamics'', North Holland, Amsterdam.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Glansdorff and Prigogine 1971&amp;quot;&amp;gt;Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability and Fluctuations'', Wiley-Interscience, London, {{ISBN|0-471-30280-5}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&lt;br /&gt;
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有人提出了其他的定律，但没有一个达到公认的四个定律的普遍性，也没有在标准教科书中被讨论。&lt;br /&gt;
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==Zeroth law==&lt;br /&gt;
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热力学零定律&lt;br /&gt;
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The [[zeroth law of thermodynamics]] may be stated in the following form:&lt;br /&gt;
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The zeroth law of thermodynamics may be stated in the following form:&lt;br /&gt;
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热力学第零定律可以用以下形式表示：&lt;br /&gt;
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{{quote|If two systems are both in thermal equilibrium with a third system then they are in thermal equilibrium with each other.&amp;lt;ref&amp;gt;Guggenheim (1985), p.&amp;amp;nbsp;8.&amp;lt;/ref&amp;gt;}}&amp;lt;br&amp;gt;&lt;br /&gt;
如果两个系统都与第三个系统处于热平衡状态，则它们彼此处于热平衡状态.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a [[mass]] of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a mass of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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该定律旨在允许一个经验参数存在，即温度，作为热力学系统的一种性质，即相互处于热平衡的系统具有相同的温度。这里所述的定律适用于特定的物质(例如一定量的气体物质）来匹配其他物质的温度，但不能证明温度是一个可以用实数来衡量的量。&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter.&amp;lt;ref&amp;gt;Sommerfeld, A. (1951/1955). ''Thermodynamics and Statistical Mechanics'', vol. 5 of ''Lectures on Theoretical Physics'', edited by F. Bopp, J. Meixner, translated by J. Kestin, Academic Press, New York, p. 1.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1978). The concepts of thermodynamics, in ''Contemporary Developments in Continuum Mechanics and Partial Differential Equations. Proceedings of the International Symposium on Continuum Mechanics and Partial Differential Equations, Rio de Janeiro, August 1977'', edited by G.M. de La Penha, L.A.J. Medeiros, North-Holland, Amsterdam, {{ISBN|0-444-85166-6}}, pp. 411–51.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1986). Chapter 1, 'An Outline of Thermodynamical Structure', pp. 3–32, in ''New Perspectives in Thermodynamics'', edited by J. Serrin, Springer, Berlin, {{ISBN|3-540-15931-2}}.&amp;lt;/ref&amp;gt; Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter. Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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虽然这个版本的定律是最常见的陈述版本之一，但它只是被称为“第零定律”的众多陈述之一。有些陈述更进一步，提供了一个重要的物理事实，即温度是一维的，并且从概念上把物体按实数顺序由冷到热排列。也许对于“第零定律”并没有唯一的“最佳的表述”，因为在文献中有一系列的热力学原理的表述，每一种都要求对热力学定律作出各自适当的说明。&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its [[Conjugate variables (thermodynamics)|conjugate variable]]. Such a temperature definition is said to be 'empirical'.&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (first edition 1968), third edition 1983, Cambridge University Press, {{ISBN|0-521-25445-0}}, pp. 18–20.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics Press, New York, {{ISBN|0-88318-797-3}}, p. 26.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), ''The Concepts of Classical Thermodynamics'', Cambridge University Press, London, pp. 30, 34ff, 46f, 83.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}, p. 22.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge, p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Harold A. Wilson (physicist)|Wilson, H.A.]] (1966). ''Thermodynamics and Statistical Mechanics'', Cambridge University Press, London, pp. 4, 8, 68, 86, 97, 311.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its conjugate variable. Such a temperature definition is said to be 'empirical'.&lt;br /&gt;
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虽然这些关于温度和热平衡的概念是热力学的基础，并在19世纪得到了清楚的阐述，但是直到20世纪30年代福勒和古根海姆这样做的时候，人们才普遍感觉到需要对上述定律进行明确编号，而这时第一定律、第二定律和第三定律已经得到广泛的理解和认可。因此，它被称为第零定律。该定律作为早期定律基础的重要性在于，它允许以非循环的方式定义温度，而无需参考熵及其共轭变量。这样的温度定义被称为“经验主义”。&lt;br /&gt;
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==First law==&lt;br /&gt;
第一定律&lt;br /&gt;
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The '''first law of thermodynamics''' is a version of the law of [[conservation of energy]], adapted for [[thermodynamic system]]s.&lt;br /&gt;
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The first law of thermodynamics is a version of the law of conservation of energy, adapted for thermodynamic systems.&lt;br /&gt;
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热力学第一定律是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量守恒conservation of energy&amp;lt;/font&amp;gt;'''定律的一个版本，适用于热力学系统。&lt;br /&gt;
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The law of conservation of energy states that the total [[energy]] of an [[isolated system]] is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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The law of conservation of energy states that the total energy of an isolated system is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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能量守恒定律指出，一个孤立系统的总能量是恒定的;能量可以从一种形式转化为另一种形式，但能量既不会凭空产生也不会凭空消失。&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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对于一个没有物质转移的热力学过程，第一定律通常用公式表示为：&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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系统 q-w / math,&lt;br /&gt;
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where {{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the change in the [[internal energy]]  of a [[Thermodynamic system#Closed system|closed system]], {{math|''Q''}} denotes the quantity of energy supplied ''to'' the system as [[heat]], and {{math|''W''}} denotes the amount of [[Work (thermodynamics)|thermodynamic work]] (expressed here with a negative sign) done ''by'' the system on its surroundings. (An [[First law of thermodynamics#Sign conventions|alternate sign convention]] not used in this article is to define {{math|''W''}} as the work done ''on'' the system.) &lt;br /&gt;
&lt;br /&gt;
where  denotes the change in the internal energy  of a closed system,  denotes the quantity of energy supplied to the system as heat, and  denotes the amount of thermodynamic work (expressed here with a negative sign) done by the system on its surroundings. (An alternate sign convention not used in this article is to define  as the work done on the system.) &lt;br /&gt;
&lt;br /&gt;
其中{{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示一个封闭系统内部能量的变化，{{math|''Q''}} 表示外界对系统传递的热量，{{math|''W''}}表示该系统对周围环境所做的热力学功(在这里用负号表示)。(本文中没有使用的另一个符号约定是定义对系统所做的功。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意到前面的heat 译为了“热”  {{math|''Q''}} 表？示外界对系统传递的热量   热量是否为“热”？&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the case of a two-stage [[thermodynamic cycle]] of a closed system, which returns to its original state, the heat {{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}} supplied to the system in one stage of the cycle, minus the heat {{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}} removed from it in the other stage, plus the [[Work (thermodynamics)|thermodynamic work]] added to the system, {{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}, equals the thermodynamic work that leaves the system {{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}.&lt;br /&gt;
&lt;br /&gt;
In the case of a two-stage thermodynamic cycle of a closed system, which returns to its original state, the heat  supplied to the system in one stage of the cycle, minus the heat  removed from it in the other stage, plus the thermodynamic work added to the system, , equals the thermodynamic work that leaves the system .&lt;br /&gt;
&lt;br /&gt;
在封闭系统的两级'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力循环thermodynamic cycle&amp;lt;/font&amp;gt;'''中，该循环回到其原始状态，在循环的一个阶段向系统提供的热量{{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，减去另一个阶段从系统中去除的热量{{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}，加上对系统做的的热力学功{{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，等于离开系统的做的热力学功{{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
0 / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
hence, for a full cycle,&lt;br /&gt;
&lt;br /&gt;
hence, for a full cycle,&lt;br /&gt;
&lt;br /&gt;
因此，一个完整的循环,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is: {{math|''Q'' {{=}} 0}}.&lt;br /&gt;
&lt;br /&gt;
For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is:  0}}.&lt;br /&gt;
&lt;br /&gt;
对于绝热系统（绝热隔离）的特殊情况，绝热隔离系统内能的变化只能是系统做功的结果，因为绝热假设是: 0}。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
&lt;br /&gt;
For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
&lt;br /&gt;
对于包括物质转移的过程，还需要进一步的说明: ‘在充分考虑了各个系统的基准参考状态后，当两个系统---- '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;它们可能由不同的化学成分组成，最初只是被防渗墙隔开，或者是被隔离---- 通过移除墙体的热力学操作结合成一个新系统&amp;lt;/font&amp;gt;'''，那么&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
数学 u + u 2 / math,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where {{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the internal energy  of the combined system, and  {{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} denote the internal energies of the respective separated systems.'&lt;br /&gt;
&lt;br /&gt;
where  denotes the internal energy  of the combined system, and   and  denote the internal energies of the respective separated systems.'&lt;br /&gt;
&lt;br /&gt;
其中{{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示组合系统的内能，{{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} 表示各自分离系统的内能&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The First Law encompasses several principles:&lt;br /&gt;
&lt;br /&gt;
The First Law encompasses several principles:&lt;br /&gt;
&lt;br /&gt;
第一定律包括以下几个原则:&lt;br /&gt;
&lt;br /&gt;
* The [[Conservation of energy|law of conservation of energy]].&lt;br /&gt;
&lt;br /&gt;
::This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
&lt;br /&gt;
This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
&lt;br /&gt;
能量既不能被创造也不能被消灭。但是，能量可以改变形式，能量可以从一个地方流动到另一个地方。能量守恒定律的一个特殊结果是，孤立系统的总能量不变。&lt;br /&gt;
&lt;br /&gt;
* The concept of [[internal energy]] and its relationship to temperature.&amp;lt;br&amp;gt;&lt;br /&gt;
内能的概念及其与温度关系。&lt;br /&gt;
&lt;br /&gt;
::If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has [[kinetic energy]]. If the system as a whole is in an externally imposed force field (e.g. gravity), it has [[potential energy]] relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
&lt;br /&gt;
If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has kinetic energy. If the system as a whole is in an externally imposed force field (e.g. gravity), it has potential energy relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
&lt;br /&gt;
如果系统具有确定的温度，则其总能量具有三个可区分的成分，分别称为动能（由与系统整体运动产生的能量），势能（由外部施加的立场产生的能量，比如重力）和内能（热热力学的基本量）。内能概念的确立将热力学第一定律与一般的能量守恒定律区分开来。&lt;br /&gt;
  ——Solitude(讨论)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, {{math|''U''}}, and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
&lt;br /&gt;
The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, , and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
&lt;br /&gt;
物质的内能可以解释为其组成原子的不规则微观运动的不同动能和它们之间相互作用的势能的总和。这些微观能量统称为物质的内能，并由宏观热力学性质来解释。组成原子的微观运动的总和随着系统温度的升高而增加; 这假设在系统的微观层次上没有其他的相互作用，例如化学反应、组成原子相互间的势能。&lt;br /&gt;
&lt;br /&gt;
* [[Work (physics)|Work]] is a process of transferring energy to or from a system in ways that can be described by macroscopic mechanical forces exerted by factors in the surroundings, outside the system. Examples are an externally driven shaft agitating a stirrer within the system, or an externally imposed electric field that polarizes the material of the system, or a piston that compresses the system. Unless otherwise stated, it is customary to treat work as occurring without its [[dissipation]] to the surroundings. Practically speaking, in all natural process, some of the work is dissipated by internal friction or viscosity. The work done by the system can come from its overall kinetic energy, from its overall potential energy, or from its internal energy.&lt;br /&gt;
&lt;br /&gt;
做功是一种以某种方式向系统传递能量或从系统传递能量的过程，其方式可以用作用在系统外部及其周围环境之间的宏观机械力来描述。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;例如，外部驱动的轴在系统内搅动，或外部施加的电场使系统材料极化，或活塞压缩系统。&amp;lt;/font&amp;gt;'''除非另有说明，习惯上把做功看作是在不影响周围环境的情况下发生的。实际上，在一切自然过程中，有些功是因内摩擦或粘黏而消失的。系统所做的功，可以来自于它的总动能，总势能或者它的内能。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's [[gravitational potential energy]]. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's gravitational potential energy. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
例如，当一台机器(不是系统的一部分)将系统向上提升时，一些能量就会从机器转移到系统。系统的能量随着系统所做功的增加而增加，在这种特殊的情况下，系统的能量增加表现为系统的重力势能的增加。对系统做的增加了系统的势能:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“对系统做的增加了系统的势能”  需要对全文进行通读 这里少词&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:::&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
或者一般来说，以功的形式加入系统的能量可以分为动能、势能或内能:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* When matter is transferred into a system, that masses' associated internal energy and potential energy are transferred with it.&amp;lt;br&amp;gt;&lt;br /&gt;
当物质转移到一个系统中时，物质相关的内能和势能也随之转移。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
在 Delta u { system } / math 中的 math  left (u，Delta m  right)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::where {{math|''u''}} denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and {{math|Δ''M''}} denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
where  denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and  denotes the amount of transferred mass.&lt;br /&gt;
&lt;br /&gt;
其中{{math|''u''}}表示在周围环境中测量的转移物质的单位质量的内能; {{math|Δ''M''}}表示被转移物质的数量。&lt;br /&gt;
&lt;br /&gt;
* The flow of [[heat]] is a form of energy transfer.&amp;lt;br&amp;gt;&lt;br /&gt;
热的流动是能量传递的一种形式。&lt;br /&gt;
&lt;br /&gt;
::Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
加热是一个将能量转移到系统中或从系统中转移出的自然过程，而不是通过做功或物质的转移。热量只能从较热的系统直接传递到较冷的系统。&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
:::If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
如果系统具有不渗透物质的刚性壁，那么能量不能通过做功传入或传出系统，而且没有外部的远程力场影响系统以改变其内能，那么内能只能通过以热的形式进行传递来改变:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:::&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
系统的 q / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where {{math|''Q''}} denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
where  denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
&lt;br /&gt;
其中 {{math|''Q''}}表示以热量形式传递到系统中的能量。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
&lt;br /&gt;
结合这些原理，就可以得出传统的热力学第一定律的表述: 不可能制造一台在没有等量能量输入的情况下不断做功的机器。或者更简单地说，第一类永动机是不可能造成的。&lt;br /&gt;
&lt;br /&gt;
==Second law==&lt;br /&gt;
第二定律&lt;br /&gt;
&lt;br /&gt;
The [[second law of thermodynamics]] indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
The second law of thermodynamics indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
热力学第二定律表明了自然过程的不可逆性，并且在许多情况下，自然过程的趋向于物质很能量的空间均匀性，特别是温度。它可以用各种有趣而重要的方式来表达。&lt;br /&gt;
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    &lt;br /&gt;
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It implies the existence of a quantity called the [[entropy]] of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
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It implies the existence of a quantity called the entropy of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
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这意味着热力学系统中存在一个叫做熵的量。了一个叫做热力学系统熵的量的存在。就这个数量而言，它意味着&lt;br /&gt;
&lt;br /&gt;
{{quote|When two initially isolated systems in separate but nearby regions of space, each in [[thermodynamic equilibrium]] with itself but not necessarily with each other, are then allowed to interact, they will eventually reach a mutual thermodynamic equilibrium. The sum of the [[entropy|entropies]] of the initially isolated systems is less than or equal to the total entropy of the final combination. Equality occurs just when the two original systems have all their respective intensive variables (temperature, pressure) equal; then the final system also has the same values.}}&amp;lt;br&amp;gt;&lt;br /&gt;
当两个最初隔离的系统分别位于彼此独立但不一定彼此处于热力学平衡的空间区域中，然后彼此相互作用时，它们最终将达到相互的热力学平衡。最初隔离的系统的熵之和小于或等于最终组合的总熵。当两个初始系统各自的强变量(温度、压力)相等时，才发生平等。那么最终的系统也有相同的值。&lt;br /&gt;
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The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
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第二定律适用于可逆和不可逆的多种过程。所有的自然过程都是不可逆的。可逆过程是一个有用的和方便的理论假设，但不发生在自然界。&lt;br /&gt;
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A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
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A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
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这种不可逆性的一个主要例子是通过传导或辐射进行的热传递。早在熵的概念被发现之前，人们就已经知道，当两个最初温度不同的物体直接进行热连接时，热量总是自发地从较热的物体流向较冷的物体。&lt;br /&gt;
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The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
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The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
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第二定律也告诉我们除了热传递之外的不可逆性，例如摩擦力和粘度，以及化学反应。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;需要熵的概念给该定律提供更广泛的范围。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, ''δQ'', is the product of the temperature (''T''), both of the system and of the sources or destination of the heat, with the increment (''dS'') of the system's conjugate variable, its [[entropy]] (''S'')&lt;br /&gt;
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According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, δQ, is the product of the temperature (T), both of the system and of the sources or destination of the heat, with the increment (dS) of the system's conjugate variable, its entropy (S)&lt;br /&gt;
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根据热力学第二定律，在理论上和假设的可逆传热中，传热元素δQ是系统和热源或热目的地的温度(t)与系统共轭变量熵（S）的增量(dS)的乘积&lt;br /&gt;
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:&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学 delta q t  ，dS  ，. / math&lt;br /&gt;
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[[Entropy]] may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as ''disorder'' on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&amp;lt;ref&amp;gt;Ben-Naim, A. (2008). ''A Farewell to Entropy: Statistical Thermodynamics Based on Information'', World Scientific, New Jersey, {{ISBN|978-981-270-706-2}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Entropy may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as disorder on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&lt;br /&gt;
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当只知道宏观状态时，熵也可以被看作是对系统运动和构型的微观细节有关的物理度量。这种细节通常在微观或分子尺度上被称为无序。该定律声称，对于一个系统的两个给定的宏观指定状态，它们之间存在一个被称为熵差的量。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这种熵的差异定义了需要多少额外的微观物理信息来指定一个宏观指定状态，给定另一个宏观指定状态-通常是一个方便选择的参考状态，这可能是假定存在的，而不是明确陈述的。自然过程的最终条件始终包含着微观上特定的影响，而这些影响，从过程初始条件的宏观规定来看是无法被完全准确预测的。这就是为什么熵在自然过程中会增加——熵的增加告诉我们需要多少额外的微观信息来区分最终的宏观指定状态和最初的宏观指定状态。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Third law==&lt;br /&gt;
第三定律&lt;br /&gt;
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The [[third law of thermodynamics]] is sometimes stated as follows:&lt;br /&gt;
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The third law of thermodynamics is sometimes stated as follows:&lt;br /&gt;
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热力学第三定律可以表示为：&lt;br /&gt;
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:''The [[entropy]] of a perfect [[crystal]] of any pure substance approaches zero as the temperature approaches [[absolute zero]].''&lt;br /&gt;
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The entropy of a perfect crystal of any pure substance approaches zero as the temperature approaches absolute zero.&lt;br /&gt;
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当温度接近绝对零度时，任何纯物质的完整晶体的熵接近零。&lt;br /&gt;
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At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one [[microstate (statistical mechanics)|state with minimum energy]].  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
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At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one state with minimum energy.  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
在零温时，系统必须处于热能最小的状态。如果完美晶体只有一种能量最小的状态，则该说法成立。熵与可能的微状态数有关:&lt;br /&gt;
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::&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学知识，数学知识，欧米茄 / 数学&lt;br /&gt;
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Where ''S'' is the entropy of the system, ''k''&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; [[Boltzmann constant|Boltzmann's constant]], and ''Ω'' the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (''Ω''=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
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Where S is the entropy of the system, k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; Boltzmann's constant, and Ω the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (Ω=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
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其中 s 是系统的熵，k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt;是玻尔兹曼常数，以及Ω是微状态数(例如:可能的原子结构)。在绝对零度下只有一种微状态(Ω=1，因为纯物质的所有原子都是相同的，所以所有阶数都是相同的，因为只有一个组合)和 ln (1)=0。&lt;br /&gt;
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A more general form of the third law that applies to a system such as a [[glass]] that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
A more general form of the third law that applies to a system such as a glass that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
第三定律的一个更普遍的形式，适用于像玻璃这样的系统，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;可能有一个以上的微观上截然不同的能量状态，或可能有一个微观上截然不同的“冻结状态”，虽然不是一个严格意义上的的最低能量状态，也不是严格意义上的热力学平衡，&amp;lt;/font&amp;gt;'''在绝对零度:&lt;br /&gt;
&lt;br /&gt;
:''The entropy of a system approaches a constant value as the temperature approaches zero.''&lt;br /&gt;
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The entropy of a system approaches a constant value as the temperature approaches zero.&lt;br /&gt;
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系统的熵随着温度接近绝对零度而接近一个恒定值。&lt;br /&gt;
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The constant value (not necessarily zero) is called the [[residual entropy]] of the system.&lt;br /&gt;
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The constant value (not necessarily zero) is called the residual entropy of the system.&lt;br /&gt;
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这个常数(不一定是零)被称为系统的余熵。&lt;br /&gt;
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==History==&lt;br /&gt;
历史&lt;br /&gt;
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{{see also|Philosophy of thermal and statistical physics}}&amp;lt;br&amp;gt;&lt;br /&gt;
热学和统计物理学的哲学&lt;br /&gt;
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[[Mechanical equivalent of heat|Circa 1797, Count Rumford (born Benjamin Thompson)]] showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by [[Nicolas Léonard Sadi Carnot|Sadi Carnot]] in 1824. By 1860, as formalized in the works of those such as [[Rudolf Clausius]] and [[William Thomson, 1st Baron Kelvin|William Thomson]], two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist [[Josiah Willard Gibbs]], in his memoir ''Graphical Methods in the Thermodynamics of Fluids'', clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
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Circa 1797, Count Rumford (born Benjamin Thompson) showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by Sadi Carnot in 1824. By 1860, as formalized in the works of those such as Rudolf Clausius and William Thomson, two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist Josiah Willard Gibbs, in his memoir Graphical Methods in the Thermodynamics of Fluids, clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
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大约在1797年，拉姆福德(出生于本杰明·汤普森)表明，无休止的机械作用可以从固定数量的工作物质中产生无限量的热量，从而挑战了热量理论。该理论认为在固定数量的工作物质中会有有限的热量 / 能量。1824年，萨迪·卡诺建立了第一个热力学原理，也就是后来的热力学第二定律。到1860年，正如鲁道夫 · 克劳修斯和威廉 · 汤姆森等人的著作所正式规定的那样，已经确立的两个热力学原理得到了发展，第一个原理和第二个原理，后来被重新定义为热力学定律。例如，1873年，热力学学家乔赛亚·威拉德·吉布斯在他的回忆录《流体热力学的图解法》中明确阐述了热力学的前两个绝对定律。整个20世纪的一些教科书对这些定律进行了不同的编号。在一些与化学无关的领域，第二定律被认为仅仅处理热机的效率问题，而所谓的第三定律则处理熵的增加问题。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;直接定义熵计算的零律不被认为是一条定律。&amp;lt;/font&amp;gt;'''这种分离逐渐形成了第二定律，现代第三定律被广泛采用。&lt;br /&gt;
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==See also==&lt;br /&gt;
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*化学热力学 [[Chemical thermodynamics]]&lt;br /&gt;
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*守恒定律 [[Conservation law (physics)|Conservation law]]&lt;br /&gt;
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*熵增 [[Entropy production]]&lt;br /&gt;
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*金斯伯格定理 [[Ginsberg's theorem]]&lt;br /&gt;
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*宇宙热寂 [[Heat death of the universe]]&lt;br /&gt;
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*H定理 [[H-theorem]]&lt;br /&gt;
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*科学规律 [[Laws of science]]&lt;br /&gt;
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*昂萨格倒易关系（有时被描述为热力学第四定律） [[Onsager reciprocal relations]] (sometimes described as a fourth law of thermodynamics)&lt;br /&gt;
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*统计力学 [[Statistical mechanics]]&lt;br /&gt;
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*热力学方程表 [[Table of thermodynamic equations]]&lt;br /&gt;
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==References==&amp;lt;br&amp;gt;&lt;br /&gt;
参考文献&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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* [[Peter Atkins|Atkins, Peter]] (2007). ''Four Laws That Drive the Universe''. OUP Oxford. {{ISBN|978-0199232369}}&lt;br /&gt;
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* Goldstein, Martin &amp;amp; Inge F. (1993). ''The Refrigerator and the Universe''. Harvard Univ. Press. {{ISBN|978-0674753259}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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* [http://www.bbc.co.uk/programmes/b06c06nd In Our Time: Perpetual Motion], BBC discussion about the Laws, with Ruth Gregory, Frank Close and Steven Bramwell, hosted by Melvyn Bragg, first broadcast 24 September 2015.&lt;br /&gt;
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[[Category:Laws of thermodynamics| ]]&lt;br /&gt;
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[[Category:Scientific laws]]&lt;br /&gt;
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Category:Scientific laws&lt;br /&gt;
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类别: 科学定律&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Laws of thermodynamics]]. Its edit history can be viewed at [[热力学定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14682</id>
		<title>热力学定律 Laws of thermodynamics</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14682"/>
		<updated>2020-10-01T15:32:40Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* First law */&lt;/p&gt;
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&lt;div&gt;本词条由Solitude初步翻译&lt;br /&gt;
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{{Thermodynamics|cTopic=Laws}}&amp;lt;br&amp;gt;&lt;br /&gt;
模板：热力学&lt;br /&gt;
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The '''laws of thermodynamics''' define physical quantities, such as [[temperature]], [[energy]], and [[entropy]], that characterize [[thermodynamic system]]s at [[thermodynamic equilibrium]]. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as [[perpetual motion]]. In addition to their use in [[thermodynamics]], they are important fundamental [[Physical law|laws]] of [[physics]] in general, and are applicable in other natural [[sciences]].&lt;br /&gt;
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The laws of thermodynamics define physical quantities, such as temperature, energy, and entropy, that characterize thermodynamic systems at thermodynamic equilibrium. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as perpetual motion. In addition to their use in thermodynamics, they are important fundamental laws of physics in general, and are applicable in other natural sciences.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学定律The laws of thermodynamics&amp;lt;/font&amp;gt;'''定义了许多物理量，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 温度temperature&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量energy&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;熵 entropy&amp;lt;/font&amp;gt;'''，这些物理量表征处于热力学平衡的热力学系统。这些定律描述了这些物理量之间的关系，并构成了排除某些现象的可能性的基础，例如永动机。除了在热力学中的应用之外，它们也是一般物理学中的重要基本定律，也适用于其他自然科学。&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;&amp;gt;Guggenheim, E.A. (1985). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', seventh edition, North Holland, Amsterdam, {{ISBN|0-444-86951-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;&amp;gt;Kittel, C. Kroemer, H. (1980). ''Thermal Physics'', second edition, W.H. Freeman, San Francisco, {{ISBN|0-7167-1088-9}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;&amp;gt;Adkins, C.J. (1968). ''Equilibrium Thermodynamics'', McGraw-Hill, London, {{ISBN|0-07-084057-1}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics. Foundations, Applications, Frontiers'', Springer, Berlin, {{ISBN|978-3-540-74252-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |author1=Chris Vuille |author2=Serway, Raymond A. |author3=Faughn, Jerry S. |title=College physics |publisher=Brooks/Cole, Cengage Learning |location=Belmont, CA |year=2009 |isbn=978-0-495-38693-3 |oclc= |doi= |accessdate= | page =  355 |url=https://books.google.com/books?id=CX0u0mIOZ44C&amp;amp;pg=PT355}}&amp;lt;/ref&amp;gt;. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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传统上，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学Thermodynamics&amp;lt;/font&amp;gt;'''描述了三个基本定律：（简单的按顺序命名为）第一定律、第二定律和第三定律。此外，在前三个定律确立之后，人们认识到可以提出另一个对这三个定律更为基本的定律，即第零定律。&lt;br /&gt;
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The [[zeroth law of thermodynamics]] defines [[thermal equilibrium]] and forms a basis for the definition of [[temperature]]:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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The zeroth law of thermodynamics defines thermal equilibrium and forms a basis for the definition of temperature:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第零定律zeroth law of thermodynamics&amp;lt;/font&amp;gt;'''定义了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热平衡thermal equilibrium&amp;lt;/font&amp;gt;'''，并为温度定义奠定了基础：如果两个系统都与第三个系统处于热平衡，则它们彼此也处于热平衡。&lt;br /&gt;
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The [[first law of thermodynamics]]: When energy passes, as [[Work (thermodynamics)|work]], as [[heat]], or with matter, into or out of a system, the system's [[internal energy]] changes in accord with the law of [[conservation of energy]]. Equivalently, [[perpetual motion machine of the first kind|perpetual motion machines of the first kind]] (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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The first law of thermodynamics: When energy passes, as work, as heat, or with matter, into or out of a system, the system's internal energy changes in accord with the law of conservation of energy. Equivalently, perpetual motion machines of the first kind (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第一定律first law of thermodynamics&amp;lt;/font&amp;gt;''':当能量以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 功work&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热heat&amp;lt;/font&amp;gt;'''或物质的形式进入或离开一个系统时，系统的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 内能 internal energy&amp;lt;/font&amp;gt;'''根据能量守恒定律发生变化。同样地，第一类永动机机器(不需要能量输入就能工作的机器)是不可能造成的。&lt;br /&gt;
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The [[second law of thermodynamics]]: In a natural [[thermodynamic process]], the sum of the [[entropy|entropies]] of the interacting [[thermodynamic system]]s increases. Equivalently, [[perpetual motion machine of the second kind|perpetual motion machines of the second kind]] (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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The second law of thermodynamics: In a natural thermodynamic process, the sum of the entropies of the interacting thermodynamic systems increases. Equivalently, perpetual motion machines of the second kind (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第二定律second law of thermodynamics&amp;lt;/font&amp;gt;''':在自然热力学过程中，相互作用的热力学系统的熵的总和增加。同样地，第二类永动机(自发地把热能转化为机械功的机器)是不可能制造出的。&lt;br /&gt;
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The [[third law of thermodynamics]]: The [[entropy]] of a system approaches a constant value as the temperature approaches [[absolute zero]].&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;  With the exception of non-crystalline solids ([[glass]]es) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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The third law of thermodynamics: The entropy of a system approaches a constant value as the temperature approaches absolute zero.  With the exception of non-crystalline solids (glasses) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第三定律third law of thermodynamics&amp;lt;/font&amp;gt;''':当温度趋于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 绝对零度absolute zero&amp;lt;/font&amp;gt;'''时，系统的熵趋于一个定值。除非晶固体(玻璃)外，系统在绝对零度时的熵通常接近于零。&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;DGM 1962&amp;quot;&amp;gt;De Groot, S.R., Mazur, P. (1962). ''Non-equilibrium Thermodynamics'', North Holland, Amsterdam.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Glansdorff and Prigogine 1971&amp;quot;&amp;gt;Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability and Fluctuations'', Wiley-Interscience, London, {{ISBN|0-471-30280-5}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&lt;br /&gt;
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有人提出了其他的定律，但没有一个达到公认的四个定律的普遍性，也没有在标准教科书中被讨论。&lt;br /&gt;
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==Zeroth law==&lt;br /&gt;
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热力学零定律&lt;br /&gt;
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The [[zeroth law of thermodynamics]] may be stated in the following form:&lt;br /&gt;
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The zeroth law of thermodynamics may be stated in the following form:&lt;br /&gt;
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热力学第零定律可以用以下形式表示：&lt;br /&gt;
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{{quote|If two systems are both in thermal equilibrium with a third system then they are in thermal equilibrium with each other.&amp;lt;ref&amp;gt;Guggenheim (1985), p.&amp;amp;nbsp;8.&amp;lt;/ref&amp;gt;}}&amp;lt;br&amp;gt;&lt;br /&gt;
如果两个系统都与第三个系统处于热平衡状态，则它们彼此处于热平衡状态.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a [[mass]] of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a mass of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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该定律旨在允许一个经验参数存在，即温度，作为热力学系统的一种性质，即相互处于热平衡的系统具有相同的温度。这里所述的定律适用于特定的物质(例如一定量的气体物质）来匹配其他物质的温度，但不能证明温度是一个可以用实数来衡量的量。&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter.&amp;lt;ref&amp;gt;Sommerfeld, A. (1951/1955). ''Thermodynamics and Statistical Mechanics'', vol. 5 of ''Lectures on Theoretical Physics'', edited by F. Bopp, J. Meixner, translated by J. Kestin, Academic Press, New York, p. 1.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1978). The concepts of thermodynamics, in ''Contemporary Developments in Continuum Mechanics and Partial Differential Equations. Proceedings of the International Symposium on Continuum Mechanics and Partial Differential Equations, Rio de Janeiro, August 1977'', edited by G.M. de La Penha, L.A.J. Medeiros, North-Holland, Amsterdam, {{ISBN|0-444-85166-6}}, pp. 411–51.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1986). Chapter 1, 'An Outline of Thermodynamical Structure', pp. 3–32, in ''New Perspectives in Thermodynamics'', edited by J. Serrin, Springer, Berlin, {{ISBN|3-540-15931-2}}.&amp;lt;/ref&amp;gt; Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter. Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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虽然这个版本的定律是最常见的陈述版本之一，但它只是被称为“第零定律”的众多陈述之一。有些陈述更进一步，提供了一个重要的物理事实，即温度是一维的，并且从概念上把物体按实数顺序由冷到热排列。也许对于“第零定律”并没有唯一的“最佳的表述”，因为在文献中有一系列的热力学原理的表述，每一种都要求对热力学定律作出各自适当的说明。&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its [[Conjugate variables (thermodynamics)|conjugate variable]]. Such a temperature definition is said to be 'empirical'.&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (first edition 1968), third edition 1983, Cambridge University Press, {{ISBN|0-521-25445-0}}, pp. 18–20.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics Press, New York, {{ISBN|0-88318-797-3}}, p. 26.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), ''The Concepts of Classical Thermodynamics'', Cambridge University Press, London, pp. 30, 34ff, 46f, 83.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}, p. 22.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge, p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Harold A. Wilson (physicist)|Wilson, H.A.]] (1966). ''Thermodynamics and Statistical Mechanics'', Cambridge University Press, London, pp. 4, 8, 68, 86, 97, 311.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its conjugate variable. Such a temperature definition is said to be 'empirical'.&lt;br /&gt;
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虽然这些关于温度和热平衡的概念是热力学的基础，并在19世纪得到了清楚的阐述，但是直到20世纪30年代福勒和古根海姆这样做的时候，人们才普遍感觉到需要对上述定律进行明确编号，而这时第一定律、第二定律和第三定律已经得到广泛的理解和认可。因此，它被称为第零定律。该定律作为早期定律基础的重要性在于，它允许以非循环的方式定义温度，而无需参考熵及其共轭变量。这样的温度定义被称为“经验主义”。&lt;br /&gt;
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==First law==&lt;br /&gt;
第一定律&lt;br /&gt;
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The '''first law of thermodynamics''' is a version of the law of [[conservation of energy]], adapted for [[thermodynamic system]]s.&lt;br /&gt;
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The first law of thermodynamics is a version of the law of conservation of energy, adapted for thermodynamic systems.&lt;br /&gt;
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热力学第一定律是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量守恒conservation of energy&amp;lt;/font&amp;gt;'''定律的一个版本，适用于热力学系统。&lt;br /&gt;
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The law of conservation of energy states that the total [[energy]] of an [[isolated system]] is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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The law of conservation of energy states that the total energy of an isolated system is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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能量守恒定律指出，一个孤立系统的总能量是恒定的;能量可以从一种形式转化为另一种形式，但能量既不会凭空产生也不会凭空消失。&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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对于一个没有物质转移的热力学过程，第一定律通常用公式表示为：&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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系统 q-w / math,&lt;br /&gt;
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where {{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the change in the [[internal energy]]  of a [[Thermodynamic system#Closed system|closed system]], {{math|''Q''}} denotes the quantity of energy supplied ''to'' the system as [[heat]], and {{math|''W''}} denotes the amount of [[Work (thermodynamics)|thermodynamic work]] (expressed here with a negative sign) done ''by'' the system on its surroundings. (An [[First law of thermodynamics#Sign conventions|alternate sign convention]] not used in this article is to define {{math|''W''}} as the work done ''on'' the system.) &lt;br /&gt;
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where  denotes the change in the internal energy  of a closed system,  denotes the quantity of energy supplied to the system as heat, and  denotes the amount of thermodynamic work (expressed here with a negative sign) done by the system on its surroundings. (An alternate sign convention not used in this article is to define  as the work done on the system.) &lt;br /&gt;
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其中{{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示一个封闭系统内部能量的变化，{{math|''Q''}} 表示外界对系统传递的热量，{{math|''W''}}表示该系统对周围环境所做的热力学功(在这里用负号表示)。(本文中没有使用的另一个符号约定是定义对系统所做的功。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意到前面的heat 译为了“热”  {{math|''Q''}} 表？示外界对系统传递的热量   热量是否为“热”？&lt;br /&gt;
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In the case of a two-stage [[thermodynamic cycle]] of a closed system, which returns to its original state, the heat {{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}} supplied to the system in one stage of the cycle, minus the heat {{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}} removed from it in the other stage, plus the [[Work (thermodynamics)|thermodynamic work]] added to the system, {{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}, equals the thermodynamic work that leaves the system {{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}.&lt;br /&gt;
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In the case of a two-stage thermodynamic cycle of a closed system, which returns to its original state, the heat  supplied to the system in one stage of the cycle, minus the heat  removed from it in the other stage, plus the thermodynamic work added to the system, , equals the thermodynamic work that leaves the system .&lt;br /&gt;
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在封闭系统的两级'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力循环thermodynamic cycle&amp;lt;/font&amp;gt;'''中，该循环回到其原始状态，在循环的一个阶段向系统提供的热量{{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，减去另一个阶段从系统中去除的热量{{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}，加上对系统做的的热力学功{{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，等于离开系统的做的热力学功{{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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0 / math&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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因此，一个完整的循环,&lt;br /&gt;
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::Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is: {{math|''Q'' {{=}} 0}}.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is:  0}}.&lt;br /&gt;
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对于绝热系统（绝热隔离）的特殊情况，绝热隔离系统内能的变化只能是系统做功的结果，因为绝热假设是: 0}。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
::&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
&lt;br /&gt;
For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
&lt;br /&gt;
对于包括物质转移的过程，还需要进一步的说明: ‘在充分考虑了各个系统的基准参考状态后，当两个系统---- '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;它们可能由不同的化学成分组成，最初只是被防渗墙隔开，或者是被隔离---- 通过移除墙体的热力学操作结合成一个新系统&amp;lt;/font&amp;gt;'''，那么&lt;br /&gt;
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::&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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数学 u + u 2 / math,&lt;br /&gt;
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where {{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the internal energy  of the combined system, and  {{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} denote the internal energies of the respective separated systems.'&lt;br /&gt;
&lt;br /&gt;
where  denotes the internal energy  of the combined system, and   and  denote the internal energies of the respective separated systems.'&lt;br /&gt;
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其中{{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示组合系统的内能，{{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} 表示各自分离系统的内能&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
&lt;br /&gt;
The First Law encompasses several principles:&lt;br /&gt;
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第一定律包括以下几个原则:&lt;br /&gt;
&lt;br /&gt;
* The [[Conservation of energy|law of conservation of energy]].&lt;br /&gt;
&lt;br /&gt;
::This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
&lt;br /&gt;
This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
&lt;br /&gt;
能量既不能被创造也不能被消灭。但是，能量可以改变形式，能量可以从一个地方流动到另一个地方。能量守恒定律的一个特殊结果是，孤立系统的总能量不变。&lt;br /&gt;
&lt;br /&gt;
* The concept of [[internal energy]] and its relationship to temperature.&amp;lt;br&amp;gt;&lt;br /&gt;
内能的概念及其与温度关系。&lt;br /&gt;
&lt;br /&gt;
::If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has [[kinetic energy]]. If the system as a whole is in an externally imposed force field (e.g. gravity), it has [[potential energy]] relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
&lt;br /&gt;
If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has kinetic energy. If the system as a whole is in an externally imposed force field (e.g. gravity), it has potential energy relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
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如果系统具有确定的温度，则其总能量具有三个可区分的成分，分别称为动能（由与系统整体运动产生的能量），势能（由外部施加的立场产生的能量，比如重力）和内能（热热力学的基本量）。内能概念的确立将热力学第一定律与一般的能量守恒定律区分开来。&lt;br /&gt;
  ——Solitude(讨论)&lt;br /&gt;
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::&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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::The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, {{math|''U''}}, and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
&lt;br /&gt;
The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, , and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
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物质的内能可以解释为其组成原子的不规则微观运动的不同动能和它们之间相互作用的势能的总和。这些微观能量统称为物质的内能，并由宏观热力学性质来解释。组成原子的微观运动的总和随着系统温度的升高而增加; 这假设在系统的微观层次上没有其他的相互作用，例如化学反应、组成原子相互间的势能。&lt;br /&gt;
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* [[Work (physics)|Work]] is a process of transferring energy to or from a system in ways that can be described by macroscopic mechanical forces exerted by factors in the surroundings, outside the system. Examples are an externally driven shaft agitating a stirrer within the system, or an externally imposed electric field that polarizes the material of the system, or a piston that compresses the system. Unless otherwise stated, it is customary to treat work as occurring without its [[dissipation]] to the surroundings. Practically speaking, in all natural process, some of the work is dissipated by internal friction or viscosity. The work done by the system can come from its overall kinetic energy, from its overall potential energy, or from its internal energy.&lt;br /&gt;
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做功是一种以某种方式向系统传递能量或从系统传递能量的过程，其方式可以用作用在系统外部及其周围环境之间的宏观机械力来描述。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;例如，外部驱动的轴在系统内搅动，或外部施加的电场使系统材料极化，或活塞压缩系统。&amp;lt;/font&amp;gt;'''除非另有说明，习惯上把做功看作是在不影响周围环境的情况下发生的。实际上，在一切自然过程中，有些功是因内摩擦或粘黏而消失的。系统所做的功，可以来自于它的总动能，总势能或者它的内能。&lt;br /&gt;
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::For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's [[gravitational potential energy]]. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's gravitational potential energy. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
例如，当一台机器(不是系统的一部分)将系统向上提升时，一些能量就会从机器转移到系统。系统的能量随着系统所做功的增加而增加，在这种特殊的情况下，系统的能量增加表现为系统的重力势能的增加。对系统做的增加了系统的势能:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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::Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
&lt;br /&gt;
或者一般来说，以功的形式加入系统的能量可以分为动能、势能或内能:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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* When matter is transferred into a system, that masses' associated internal energy and potential energy are transferred with it.&amp;lt;br&amp;gt;&lt;br /&gt;
当物质转移到一个系统中时，物质相关的内能和势能也随之转移。&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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在 Delta u { system } / math 中的 math  left (u，Delta m  right)&lt;br /&gt;
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::where {{math|''u''}} denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and {{math|Δ''M''}} denotes the amount of transferred mass.&lt;br /&gt;
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where  denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and  denotes the amount of transferred mass.&lt;br /&gt;
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其中{{math|''u''}}表示在周围环境中测量的转移物质的单位质量的内能; {{math|Δ''M''}}表示被转移物质的数量。&lt;br /&gt;
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* The flow of [[heat]] is a form of energy transfer.&amp;lt;br&amp;gt;&lt;br /&gt;
热的流动是能量传递的一种形式。&lt;br /&gt;
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::Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
&lt;br /&gt;
Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
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加热是一个将能量转移到系统中或从系统中转移出的自然过程，而不是通过做功或物质的转移。热量只能从较热的系统直接传递到较冷的系统。&lt;br /&gt;
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:::If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
&lt;br /&gt;
If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
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如果系统具有不渗透物质的刚性壁，那么能量不能通过做功传入或传出系统，而且没有外部的远程力场影响系统以改变其内能，那么内能只能通过以热的形式进行传递来改变:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
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系统的 q / math&lt;br /&gt;
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where {{math|''Q''}} denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
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where  denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
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其中 {{math|''Q''}}表示以热量形式传递到系统中的能量。&lt;br /&gt;
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Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
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Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
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结合这些原理，就可以得出传统的热力学第一定律的表述: 不可能制造一台在没有等量能量输入的情况下不断做功的机器。或者更简单地说，第一类永动机是不可能造成的。&lt;br /&gt;
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==Second law==&lt;br /&gt;
第二定律&lt;br /&gt;
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The [[second law of thermodynamics]] indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
The second law of thermodynamics indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
热力学第二定律表明了自然过程的不可逆性，并且在许多情况下，自然过程的趋向于物质很能量的空间均匀性，特别是温度。它可以用各种有趣而重要的方式来表达。&lt;br /&gt;
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It implies the existence of a quantity called the [[entropy]] of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
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It implies the existence of a quantity called the entropy of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
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这意味着热力学系统中存在一个叫做熵的量。了一个叫做热力学系统熵的量的存在。就这个数量而言，它意味着&lt;br /&gt;
&lt;br /&gt;
{{quote|When two initially isolated systems in separate but nearby regions of space, each in [[thermodynamic equilibrium]] with itself but not necessarily with each other, are then allowed to interact, they will eventually reach a mutual thermodynamic equilibrium. The sum of the [[entropy|entropies]] of the initially isolated systems is less than or equal to the total entropy of the final combination. Equality occurs just when the two original systems have all their respective intensive variables (temperature, pressure) equal; then the final system also has the same values.}}&amp;lt;br&amp;gt;&lt;br /&gt;
当两个最初隔离的系统分别位于彼此独立但不一定彼此处于热力学平衡的空间区域中，然后彼此相互作用时，它们最终将达到相互的热力学平衡。最初隔离的系统的熵之和小于或等于最终组合的总熵。当两个初始系统各自的强变量(温度、压力)相等时，才发生平等。那么最终的系统也有相同的值。&lt;br /&gt;
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The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
第二定律适用于可逆和不可逆的多种过程。所有的自然过程都是不可逆的。可逆过程是一个有用的和方便的理论假设，但不发生在自然界。&lt;br /&gt;
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A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
&lt;br /&gt;
这种不可逆性的一个主要例子是通过传导或辐射进行的热传递。早在熵的概念被发现之前，人们就已经知道，当两个最初温度不同的物体直接进行热连接时，热量总是自发地从较热的物体流向较冷的物体。&lt;br /&gt;
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The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
&lt;br /&gt;
第二定律也告诉我们除了热传递之外的不可逆性，例如摩擦力和粘度，以及化学反应。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;需要熵的概念给该定律提供更广泛的范围。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, ''δQ'', is the product of the temperature (''T''), both of the system and of the sources or destination of the heat, with the increment (''dS'') of the system's conjugate variable, its [[entropy]] (''S'')&lt;br /&gt;
&lt;br /&gt;
According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, δQ, is the product of the temperature (T), both of the system and of the sources or destination of the heat, with the increment (dS) of the system's conjugate variable, its entropy (S)&lt;br /&gt;
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根据热力学第二定律，在理论上和假设的可逆传热中，传热元素δQ是系统和热源或热目的地的温度(t)与系统共轭变量熵（S）的增量(dS)的乘积&lt;br /&gt;
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:&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学 delta q t  ，dS  ，. / math&lt;br /&gt;
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[[Entropy]] may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as ''disorder'' on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&amp;lt;ref&amp;gt;Ben-Naim, A. (2008). ''A Farewell to Entropy: Statistical Thermodynamics Based on Information'', World Scientific, New Jersey, {{ISBN|978-981-270-706-2}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Entropy may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as disorder on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&lt;br /&gt;
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当只知道宏观状态时，熵也可以被看作是对系统运动和构型的微观细节有关的物理度量。这种细节通常在微观或分子尺度上被称为无序。该定律声称，对于一个系统的两个给定的宏观指定状态，它们之间存在一个被称为熵差的量。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这种熵的差异定义了需要多少额外的微观物理信息来指定一个宏观指定状态，给定另一个宏观指定状态-通常是一个方便选择的参考状态，这可能是假定存在的，而不是明确陈述的。自然过程的最终条件始终包含着微观上特定的影响，而这些影响，从过程初始条件的宏观规定来看是无法被完全准确预测的。这就是为什么熵在自然过程中会增加——熵的增加告诉我们需要多少额外的微观信息来区分最终的宏观指定状态和最初的宏观指定状态。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Third law==&lt;br /&gt;
第三定律&lt;br /&gt;
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The [[third law of thermodynamics]] is sometimes stated as follows:&lt;br /&gt;
&lt;br /&gt;
The third law of thermodynamics is sometimes stated as follows:&lt;br /&gt;
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热力学第三定律可以表示为：&lt;br /&gt;
&lt;br /&gt;
:''The [[entropy]] of a perfect [[crystal]] of any pure substance approaches zero as the temperature approaches [[absolute zero]].''&lt;br /&gt;
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The entropy of a perfect crystal of any pure substance approaches zero as the temperature approaches absolute zero.&lt;br /&gt;
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当温度接近绝对零度时，任何纯物质的完整晶体的熵接近零。&lt;br /&gt;
&lt;br /&gt;
At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one [[microstate (statistical mechanics)|state with minimum energy]].  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one state with minimum energy.  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
&lt;br /&gt;
在零温时，系统必须处于热能最小的状态。如果完美晶体只有一种能量最小的状态，则该说法成立。熵与可能的微状态数有关:&lt;br /&gt;
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::&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学知识，数学知识，欧米茄 / 数学&lt;br /&gt;
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Where ''S'' is the entropy of the system, ''k''&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; [[Boltzmann constant|Boltzmann's constant]], and ''Ω'' the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (''Ω''=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
&lt;br /&gt;
Where S is the entropy of the system, k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; Boltzmann's constant, and Ω the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (Ω=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
&lt;br /&gt;
其中 s 是系统的熵，k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt;是玻尔兹曼常数，以及Ω是微状态数(例如:可能的原子结构)。在绝对零度下只有一种微状态(Ω=1，因为纯物质的所有原子都是相同的，所以所有阶数都是相同的，因为只有一个组合)和 ln (1)=0。&lt;br /&gt;
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A more general form of the third law that applies to a system such as a [[glass]] that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
A more general form of the third law that applies to a system such as a glass that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
第三定律的一个更普遍的形式，适用于像玻璃这样的系统，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;可能有一个以上的微观上截然不同的能量状态，或可能有一个微观上截然不同的“冻结状态”，虽然不是一个严格意义上的的最低能量状态，也不是严格意义上的热力学平衡，&amp;lt;/font&amp;gt;'''在绝对零度:&lt;br /&gt;
&lt;br /&gt;
:''The entropy of a system approaches a constant value as the temperature approaches zero.''&lt;br /&gt;
&lt;br /&gt;
The entropy of a system approaches a constant value as the temperature approaches zero.&lt;br /&gt;
&lt;br /&gt;
系统的熵随着温度接近绝对零度而接近一个恒定值。&lt;br /&gt;
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The constant value (not necessarily zero) is called the [[residual entropy]] of the system.&lt;br /&gt;
&lt;br /&gt;
The constant value (not necessarily zero) is called the residual entropy of the system.&lt;br /&gt;
&lt;br /&gt;
这个常数(不一定是零)被称为系统的余熵。&lt;br /&gt;
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==History==&lt;br /&gt;
历史&lt;br /&gt;
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{{see also|Philosophy of thermal and statistical physics}}&amp;lt;br&amp;gt;&lt;br /&gt;
热学和统计物理学的哲学&lt;br /&gt;
&lt;br /&gt;
[[Mechanical equivalent of heat|Circa 1797, Count Rumford (born Benjamin Thompson)]] showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by [[Nicolas Léonard Sadi Carnot|Sadi Carnot]] in 1824. By 1860, as formalized in the works of those such as [[Rudolf Clausius]] and [[William Thomson, 1st Baron Kelvin|William Thomson]], two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist [[Josiah Willard Gibbs]], in his memoir ''Graphical Methods in the Thermodynamics of Fluids'', clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
&lt;br /&gt;
Circa 1797, Count Rumford (born Benjamin Thompson) showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by Sadi Carnot in 1824. By 1860, as formalized in the works of those such as Rudolf Clausius and William Thomson, two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist Josiah Willard Gibbs, in his memoir Graphical Methods in the Thermodynamics of Fluids, clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
&lt;br /&gt;
大约在1797年，拉姆福德(出生于本杰明·汤普森)表明，无休止的机械作用可以从固定数量的工作物质中产生无限量的热量，从而挑战了热量理论。该理论认为在固定数量的工作物质中会有有限的热量 / 能量。1824年，萨迪·卡诺建立了第一个热力学原理，也就是后来的热力学第二定律。到1860年，正如鲁道夫 · 克劳修斯和威廉 · 汤姆森等人的著作所正式规定的那样，已经确立的两个热力学原理得到了发展，第一个原理和第二个原理，后来被重新定义为热力学定律。例如，1873年，热力学学家乔赛亚·威拉德·吉布斯在他的回忆录《流体热力学的图解法》中明确阐述了热力学的前两个绝对定律。整个20世纪的一些教科书对这些定律进行了不同的编号。在一些与化学无关的领域，第二定律被认为仅仅处理热机的效率问题，而所谓的第三定律则处理熵的增加问题。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;直接定义熵计算的零律不被认为是一条定律。&amp;lt;/font&amp;gt;'''这种分离逐渐形成了第二定律，现代第三定律被广泛采用。&lt;br /&gt;
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==See also==&lt;br /&gt;
&lt;br /&gt;
*化学热力学 [[Chemical thermodynamics]]&lt;br /&gt;
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*守恒定律 [[Conservation law (physics)|Conservation law]]&lt;br /&gt;
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*熵增 [[Entropy production]]&lt;br /&gt;
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*金斯伯格定理 [[Ginsberg's theorem]]&lt;br /&gt;
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*宇宙热寂 [[Heat death of the universe]]&lt;br /&gt;
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*H定理 [[H-theorem]]&lt;br /&gt;
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*科学规律 [[Laws of science]]&lt;br /&gt;
&lt;br /&gt;
*昂萨格倒易关系（有时被描述为热力学第四定律） [[Onsager reciprocal relations]] (sometimes described as a fourth law of thermodynamics)&lt;br /&gt;
&lt;br /&gt;
*统计力学 [[Statistical mechanics]]&lt;br /&gt;
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*热力学方程表 [[Table of thermodynamic equations]]&lt;br /&gt;
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==References==&amp;lt;br&amp;gt;&lt;br /&gt;
参考文献&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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* [[Peter Atkins|Atkins, Peter]] (2007). ''Four Laws That Drive the Universe''. OUP Oxford. {{ISBN|978-0199232369}}&lt;br /&gt;
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* Goldstein, Martin &amp;amp; Inge F. (1993). ''The Refrigerator and the Universe''. Harvard Univ. Press. {{ISBN|978-0674753259}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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* [http://www.bbc.co.uk/programmes/b06c06nd In Our Time: Perpetual Motion], BBC discussion about the Laws, with Ruth Gregory, Frank Close and Steven Bramwell, hosted by Melvyn Bragg, first broadcast 24 September 2015.&lt;br /&gt;
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[[Category:Laws of thermodynamics| ]]&lt;br /&gt;
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[[Category:Scientific laws]]&lt;br /&gt;
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Category:Scientific laws&lt;br /&gt;
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类别: 科学定律&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Laws of thermodynamics]]. Its edit history can be viewed at [[热力学定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14681</id>
		<title>热力学定律 Laws of thermodynamics</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E5%AE%9A%E5%BE%8B_Laws_of_thermodynamics&amp;diff=14681"/>
		<updated>2020-10-01T15:29:06Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;本词条由Solitude初步翻译&lt;br /&gt;
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{{Thermodynamics|cTopic=Laws}}&amp;lt;br&amp;gt;&lt;br /&gt;
模板：热力学&lt;br /&gt;
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The '''laws of thermodynamics''' define physical quantities, such as [[temperature]], [[energy]], and [[entropy]], that characterize [[thermodynamic system]]s at [[thermodynamic equilibrium]]. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as [[perpetual motion]]. In addition to their use in [[thermodynamics]], they are important fundamental [[Physical law|laws]] of [[physics]] in general, and are applicable in other natural [[sciences]].&lt;br /&gt;
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The laws of thermodynamics define physical quantities, such as temperature, energy, and entropy, that characterize thermodynamic systems at thermodynamic equilibrium. The laws describe the relationships between these quantities, and form a basis of precluding the possibility of certain phenomena, such as perpetual motion. In addition to their use in thermodynamics, they are important fundamental laws of physics in general, and are applicable in other natural sciences.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学定律The laws of thermodynamics&amp;lt;/font&amp;gt;'''定义了许多物理量，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 温度temperature&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量energy&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;熵 entropy&amp;lt;/font&amp;gt;'''，这些物理量表征处于热力学平衡的热力学系统。这些定律描述了这些物理量之间的关系，并构成了排除某些现象的可能性的基础，例如永动机。除了在热力学中的应用之外，它们也是一般物理学中的重要基本定律，也适用于其他自然科学。&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;&amp;gt;Guggenheim, E.A. (1985). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', seventh edition, North Holland, Amsterdam, {{ISBN|0-444-86951-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;&amp;gt;Kittel, C. Kroemer, H. (1980). ''Thermal Physics'', second edition, W.H. Freeman, San Francisco, {{ISBN|0-7167-1088-9}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;&amp;gt;Adkins, C.J. (1968). ''Equilibrium Thermodynamics'', McGraw-Hill, London, {{ISBN|0-07-084057-1}}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics. Foundations, Applications, Frontiers'', Springer, Berlin, {{ISBN|978-3-540-74252-4}}.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book |author1=Chris Vuille |author2=Serway, Raymond A. |author3=Faughn, Jerry S. |title=College physics |publisher=Brooks/Cole, Cengage Learning |location=Belmont, CA |year=2009 |isbn=978-0-495-38693-3 |oclc= |doi= |accessdate= | page =  355 |url=https://books.google.com/books?id=CX0u0mIOZ44C&amp;amp;pg=PT355}}&amp;lt;/ref&amp;gt;. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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Thermodynamics has traditionally recognized three fundamental laws, simply named by an ordinal identification, the first law, the second law, and the third law.. In addition, after the first three laws were established, it was recognized that another law, more fundamental to all three, could be stated, which was named the zeroth law.&lt;br /&gt;
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传统上，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学Thermodynamics&amp;lt;/font&amp;gt;'''描述了三个基本定律：（简单的按顺序命名为）第一定律、第二定律和第三定律。此外，在前三个定律确立之后，人们认识到可以提出另一个对这三个定律更为基本的定律，即第零定律。&lt;br /&gt;
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The [[zeroth law of thermodynamics]] defines [[thermal equilibrium]] and forms a basis for the definition of [[temperature]]:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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The zeroth law of thermodynamics defines thermal equilibrium and forms a basis for the definition of temperature:  If two systems are each in thermal equilibrium with a third system, they are in thermal equilibrium with each other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第零定律zeroth law of thermodynamics&amp;lt;/font&amp;gt;'''定义了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热平衡thermal equilibrium&amp;lt;/font&amp;gt;'''，并为温度定义奠定了基础：如果两个系统都与第三个系统处于热平衡，则它们彼此也处于热平衡。&lt;br /&gt;
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The [[first law of thermodynamics]]: When energy passes, as [[Work (thermodynamics)|work]], as [[heat]], or with matter, into or out of a system, the system's [[internal energy]] changes in accord with the law of [[conservation of energy]]. Equivalently, [[perpetual motion machine of the first kind|perpetual motion machines of the first kind]] (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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The first law of thermodynamics: When energy passes, as work, as heat, or with matter, into or out of a system, the system's internal energy changes in accord with the law of conservation of energy. Equivalently, perpetual motion machines of the first kind (machines that produce work with no energy input) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第一定律first law of thermodynamics&amp;lt;/font&amp;gt;''':当能量以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 功work&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热heat&amp;lt;/font&amp;gt;'''或物质的形式进入或离开一个系统时，系统的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 内能 internal energy&amp;lt;/font&amp;gt;'''根据能量守恒定律发生变化。同样地，第一类永动机机器(不需要能量输入就能工作的机器)是不可能造成的。&lt;br /&gt;
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The [[second law of thermodynamics]]: In a natural [[thermodynamic process]], the sum of the [[entropy|entropies]] of the interacting [[thermodynamic system]]s increases. Equivalently, [[perpetual motion machine of the second kind|perpetual motion machines of the second kind]] (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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The second law of thermodynamics: In a natural thermodynamic process, the sum of the entropies of the interacting thermodynamic systems increases. Equivalently, perpetual motion machines of the second kind (machines that spontaneously convert thermal energy into mechanical work) are impossible.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第二定律second law of thermodynamics&amp;lt;/font&amp;gt;''':在自然热力学过程中，相互作用的热力学系统的熵的总和增加。同样地，第二类永动机(自发地把热能转化为机械功的机器)是不可能制造出的。&lt;br /&gt;
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The [[third law of thermodynamics]]: The [[entropy]] of a system approaches a constant value as the temperature approaches [[absolute zero]].&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;  With the exception of non-crystalline solids ([[glass]]es) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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The third law of thermodynamics: The entropy of a system approaches a constant value as the temperature approaches absolute zero.  With the exception of non-crystalline solids (glasses) the entropy of a system at absolute zero is typically close to zero.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力学第三定律third law of thermodynamics&amp;lt;/font&amp;gt;''':当温度趋于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 绝对零度absolute zero&amp;lt;/font&amp;gt;'''时，系统的熵趋于一个定值。除非晶固体(玻璃)外，系统在绝对零度时的熵通常接近于零。&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Kittel and Kroemer 1980&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Adkins 1968&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;LJCV 2008&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;DGM 1962&amp;quot;&amp;gt;De Groot, S.R., Mazur, P. (1962). ''Non-equilibrium Thermodynamics'', North Holland, Amsterdam.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Glansdorff and Prigogine 1971&amp;quot;&amp;gt;Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability and Fluctuations'', Wiley-Interscience, London, {{ISBN|0-471-30280-5}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Additional laws have been suggested, but none of them achieved the generality of the four accepted laws, and are not discussed in standard textbooks.&lt;br /&gt;
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有人提出了其他的定律，但没有一个达到公认的四个定律的普遍性，也没有在标准教科书中被讨论。&lt;br /&gt;
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==Zeroth law==&lt;br /&gt;
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热力学零定律&lt;br /&gt;
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The [[zeroth law of thermodynamics]] may be stated in the following form:&lt;br /&gt;
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The zeroth law of thermodynamics may be stated in the following form:&lt;br /&gt;
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热力学第零定律可以用以下形式表示：&lt;br /&gt;
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{{quote|If two systems are both in thermal equilibrium with a third system then they are in thermal equilibrium with each other.&amp;lt;ref&amp;gt;Guggenheim (1985), p.&amp;amp;nbsp;8.&amp;lt;/ref&amp;gt;}}&amp;lt;br&amp;gt;&lt;br /&gt;
如果两个系统都与第三个系统处于热平衡状态，则它们彼此处于热平衡状态.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a [[mass]] of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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The law is intended to allow the existence of an empirical parameter, the temperature, as a property of a system such that systems in thermal equilibrium with each other have the same temperature. The law as stated here is compatible with the use of a particular physical body, for example a mass of gas, to match temperatures of other bodies, but does not justify regarding temperature as a quantity that can be measured on a scale of real numbers.&lt;br /&gt;
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该定律旨在允许一个经验参数存在，即温度，作为热力学系统的一种性质，即相互处于热平衡的系统具有相同的温度。这里所述的定律适用于特定的物质(例如一定量的气体物质）来匹配其他物质的温度，但不能证明温度是一个可以用实数来衡量的量。&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter.&amp;lt;ref&amp;gt;Sommerfeld, A. (1951/1955). ''Thermodynamics and Statistical Mechanics'', vol. 5 of ''Lectures on Theoretical Physics'', edited by F. Bopp, J. Meixner, translated by J. Kestin, Academic Press, New York, p. 1.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1978). The concepts of thermodynamics, in ''Contemporary Developments in Continuum Mechanics and Partial Differential Equations. Proceedings of the International Symposium on Continuum Mechanics and Partial Differential Equations, Rio de Janeiro, August 1977'', edited by G.M. de La Penha, L.A.J. Medeiros, North-Holland, Amsterdam, {{ISBN|0-444-85166-6}}, pp. 411–51.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[James Serrin|Serrin, J.]] (1986). Chapter 1, 'An Outline of Thermodynamical Structure', pp. 3–32, in ''New Perspectives in Thermodynamics'', edited by J. Serrin, Springer, Berlin, {{ISBN|3-540-15931-2}}.&amp;lt;/ref&amp;gt; Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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Though this version of the law is one of the most commonly stated versions, it is only one of a diversity of statements that are labeled as &amp;quot;the zeroth law&amp;quot; by competent writers. Some statements go further so as to supply the important physical fact that temperature is one-dimensional and  that one can conceptually arrange bodies in real number sequence from colder to hotter. Perhaps there exists no unique &amp;quot;best possible statement&amp;quot; of the &amp;quot;zeroth law&amp;quot;, because there is in the literature a range of formulations of the principles of thermodynamics, each of which call for their respectively appropriate versions of the law.&lt;br /&gt;
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虽然这个版本的定律是最常见的陈述版本之一，但它只是被称为“第零定律”的众多陈述之一。有些陈述更进一步，提供了一个重要的物理事实，即温度是一维的，并且从概念上把物体按实数顺序由冷到热排列。也许对于“第零定律”并没有唯一的“最佳的表述”，因为在文献中有一系列的热力学原理的表述，每一种都要求对热力学定律作出各自适当的说明。&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its [[Conjugate variables (thermodynamics)|conjugate variable]]. Such a temperature definition is said to be 'empirical'.&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (first edition 1968), third edition 1983, Cambridge University Press, {{ISBN|0-521-25445-0}}, pp. 18–20.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics Press, New York, {{ISBN|0-88318-797-3}}, p. 26.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), ''The Concepts of Classical Thermodynamics'', Cambridge University Press, London, pp. 30, 34ff, 46f, 83.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}, p. 22.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge, p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Harold A. Wilson (physicist)|Wilson, H.A.]] (1966). ''Thermodynamics and Statistical Mechanics'', Cambridge University Press, London, pp. 4, 8, 68, 86, 97, 311.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Although these concepts of temperature and of thermal equilibrium are fundamental to thermodynamics and were clearly stated in the nineteenth century, the desire to explicitly number the above law was not widely felt until Fowler and Guggenheim did so in the 1930s, long after the first, second, and third law were already widely understood and recognized.  Hence it was numbered the zeroth law. The importance of the law as a foundation to the earlier laws is that it allows the definition of temperature in a non-circular way without reference to entropy, its conjugate variable. Such a temperature definition is said to be 'empirical'.&lt;br /&gt;
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虽然这些关于温度和热平衡的概念是热力学的基础，并在19世纪得到了清楚的阐述，但是直到20世纪30年代福勒和古根海姆这样做的时候，人们才普遍感觉到需要对上述定律进行明确编号，而这时第一定律、第二定律和第三定律已经得到广泛的理解和认可。因此，它被称为第零定律。该定律作为早期定律基础的重要性在于，它允许以非循环的方式定义温度，而无需参考熵及其共轭变量。这样的温度定义被称为“经验主义”。&lt;br /&gt;
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==First law==&lt;br /&gt;
第一定律&lt;br /&gt;
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The '''first law of thermodynamics''' is a version of the law of [[conservation of energy]], adapted for [[thermodynamic system]]s.&lt;br /&gt;
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The first law of thermodynamics is a version of the law of conservation of energy, adapted for thermodynamic systems.&lt;br /&gt;
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热力学第一定律是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 能量守恒conservation of energy&amp;lt;/font&amp;gt;'''定律的一个版本，适用于热力学系统。&lt;br /&gt;
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The law of conservation of energy states that the total [[energy]] of an [[isolated system]] is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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The law of conservation of energy states that the total energy of an isolated system is constant; energy can be transformed from one form to another, but can be neither created nor destroyed.&lt;br /&gt;
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能量守恒定律指出，一个孤立系统的总能量是恒定的;能量可以从一种形式转化为另一种形式，但能量既不会凭空产生也不会凭空消失。&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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For a thermodynamic process without transfer of matter, the first law is often formulated&lt;br /&gt;
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对于一个没有物质转移的热力学过程，第一定律通常用公式表示为：&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = Q - W&amp;lt;/math&amp;gt;,&lt;br /&gt;
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系统 q-w / math,&lt;br /&gt;
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where {{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the change in the [[internal energy]]  of a [[Thermodynamic system#Closed system|closed system]], {{math|''Q''}} denotes the quantity of energy supplied ''to'' the system as [[heat]], and {{math|''W''}} denotes the amount of [[Work (thermodynamics)|thermodynamic work]] (expressed here with a negative sign) done ''by'' the system on its surroundings. (An [[First law of thermodynamics#Sign conventions|alternate sign convention]] not used in this article is to define {{math|''W''}} as the work done ''on'' the system.) &lt;br /&gt;
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where  denotes the change in the internal energy  of a closed system,  denotes the quantity of energy supplied to the system as heat, and  denotes the amount of thermodynamic work (expressed here with a negative sign) done by the system on its surroundings. (An alternate sign convention not used in this article is to define  as the work done on the system.) &lt;br /&gt;
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其中{{math|Δ''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示一个封闭系统内部能量的变化，{{math|''Q''}} 表示外界对系统传递的热量，{{math|''W''}}表示该系统对周围环境所做的热力学功(在这里用负号表示)。(本文中没有使用的另一个符号约定是定义对系统所做的功。&lt;br /&gt;
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In the case of a two-stage [[thermodynamic cycle]] of a closed system, which returns to its original state, the heat {{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}} supplied to the system in one stage of the cycle, minus the heat {{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}} removed from it in the other stage, plus the [[Work (thermodynamics)|thermodynamic work]] added to the system, {{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}, equals the thermodynamic work that leaves the system {{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}.&lt;br /&gt;
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In the case of a two-stage thermodynamic cycle of a closed system, which returns to its original state, the heat  supplied to the system in one stage of the cycle, minus the heat  removed from it in the other stage, plus the thermodynamic work added to the system, , equals the thermodynamic work that leaves the system .&lt;br /&gt;
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在封闭系统的两级'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 热力循环thermodynamic cycle&amp;lt;/font&amp;gt;'''中，该循环回到其原始状态，在循环的一个阶段向系统提供的热量{{math|''Q&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，减去另一个阶段从系统中去除的热量{{math|''Q&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}，加上对系统做的的热力学功{{math|''W&amp;lt;sub&amp;gt;in&amp;lt;/sub&amp;gt;''}}，等于离开系统的做的热力学功{{math|''W&amp;lt;sub&amp;gt;out&amp;lt;/sub&amp;gt;''}}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system\,(full\,cycle)}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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hence, for a full cycle,&lt;br /&gt;
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因此，一个完整的循环,&lt;br /&gt;
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::Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Or &amp;lt;math&amp;gt;Q - W = Q_{\rm in} - Q_{\rm out} - (W_{\rm out} - W_{\rm in}) =0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is: {{math|''Q'' {{=}} 0}}.&lt;br /&gt;
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For the particular case of a thermally isolated system (adiabatically isolated), the change of the internal energy of an adiabatically isolated system can only be the result of the work added to the system, because the adiabatic assumption is:  0}}.&lt;br /&gt;
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对于绝热系统（绝热隔离）的特殊情况，绝热隔离系统内能的变化只能是系统做功的结果，因为绝热假设是: 0}。&lt;br /&gt;
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::&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system} = U_{\rm final} - U_{\rm initial} = W_{\rm in} - W_{\rm out} &amp;lt;/math&amp;gt;&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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For  processes that include transfer of matter, a further statement is needed: 'With due account of the respective fiducial reference states of the systems, when two systems, which may be of different chemical compositions, initially separated only by an impermeable wall, and otherwise isolated, are combined into a new system by the thermodynamic operation of removal of the wall, then&lt;br /&gt;
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对于包括物质转移的过程，还需要进一步的说明: ‘在充分考虑了各个系统的基准参考状态后，当两个系统---- '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;它们可能由不同的化学成分组成，最初只是被防渗墙隔开，或者是被隔离---- 通过移除墙体的热力学操作结合成一个新系统&amp;lt;/font&amp;gt;'''，那么&lt;br /&gt;
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::&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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&amp;lt;math&amp;gt;U_{\rm system} = U_1 + U_2&amp;lt;/math&amp;gt;,&lt;br /&gt;
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数学 u + u 2 / math,&lt;br /&gt;
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where {{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}} denotes the internal energy  of the combined system, and  {{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} denote the internal energies of the respective separated systems.'&lt;br /&gt;
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where  denotes the internal energy  of the combined system, and   and  denote the internal energies of the respective separated systems.'&lt;br /&gt;
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其中{{math|''U''&amp;lt;sub&amp;gt;system&amp;lt;/sub&amp;gt;}}表示组合系统的内能，{{math|''U''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;}} and {{math|''U''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;}} 表示各自分离系统的内能&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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The First Law encompasses several principles:&lt;br /&gt;
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第一定律包括以下几个原则:&lt;br /&gt;
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* The [[Conservation of energy|law of conservation of energy]].&lt;br /&gt;
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::This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
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This states that energy can be neither created nor destroyed. However, energy can change forms, and energy can flow from one place to another. A particular consequence of the law of conservation of energy is that the total energy of an isolated system does not change.&lt;br /&gt;
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能量既不能被创造也不能被消灭。但是，能量可以改变形式，能量可以从一个地方流动到另一个地方。能量守恒定律的一个特殊结果是，孤立系统的总能量不变。&lt;br /&gt;
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* The concept of [[internal energy]] and its relationship to temperature.&amp;lt;br&amp;gt;&lt;br /&gt;
内能的概念及其与温度关系。&lt;br /&gt;
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::If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has [[kinetic energy]]. If the system as a whole is in an externally imposed force field (e.g. gravity), it has [[potential energy]] relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
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If a system has a definite temperature, then its total energy has three distinguishable components. If the system is in motion as a whole, it has kinetic energy. If the system as a whole is in an externally imposed force field (e.g. gravity), it has potential energy relative to some reference point in space. Finally, it has internal energy, which is a fundamental quantity of thermodynamics. The establishment of the concept of internal energy distinguishes the first law of thermodynamics from the more general law of conservation of energy.&lt;br /&gt;
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如果系统具有确定的温度，则其总能量具有三个可区分的成分，分别称为动能（由与系统整体运动产生的能量），势能（由外部施加的立场产生的能量，比如重力）和内能（热热力学的基本量）。内能概念的确立将热力学第一定律与一般的能量守恒定律区分开来。&lt;br /&gt;
  ——Solitude(讨论)&lt;br /&gt;
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::&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;E_{\rm total} = \mathrm{KE}_{\rm system} + \mathrm{PE}_{\rm system} + U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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::The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, {{math|''U''}}, and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
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The internal energy of a substance can be explained as the sum of the diverse kinetic energies of the erratic microscopic motions of its constituent atoms, and of the potential energy of interactions between them. Those microscopic energy terms are collectively called the substance's internal energy, , and are accounted for by  macroscopic thermodynamic property. The total of the kinetic energies of microscopic motions of the constituent atoms increases as the system's temperature increases; this assumes no other interactions at the microscopic level of the system such as chemical reactions, potential energy of constituent atoms with respect to each other.&lt;br /&gt;
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物质的内能可以解释为其组成原子的不规则微观运动的不同动能和它们之间相互作用的势能的总和。这些微观能量统称为物质的内能，并由宏观热力学性质来解释。组成原子的微观运动的总和随着系统温度的升高而增加; 这假设在系统的微观层次上没有其他的相互作用，例如化学反应、组成原子相互间的势能。&lt;br /&gt;
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* [[Work (physics)|Work]] is a process of transferring energy to or from a system in ways that can be described by macroscopic mechanical forces exerted by factors in the surroundings, outside the system. Examples are an externally driven shaft agitating a stirrer within the system, or an externally imposed electric field that polarizes the material of the system, or a piston that compresses the system. Unless otherwise stated, it is customary to treat work as occurring without its [[dissipation]] to the surroundings. Practically speaking, in all natural process, some of the work is dissipated by internal friction or viscosity. The work done by the system can come from its overall kinetic energy, from its overall potential energy, or from its internal energy.&lt;br /&gt;
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做功是一种以某种方式向系统传递能量或从系统传递能量的过程，其方式可以用作用在系统外部及其周围环境之间的宏观机械力来描述。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;例如，外部驱动的轴在系统内搅动，或外部施加的电场使系统材料极化，或活塞压缩系统。&amp;lt;/font&amp;gt;'''除非另有说明，习惯上把做功看作是在不影响周围环境的情况下发生的。实际上，在一切自然过程中，有些功是因内摩擦或粘黏而消失的。系统所做的功，可以来自于它的总动能，总势能或者它的内能。&lt;br /&gt;
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::For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's [[gravitational potential energy]]. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
&lt;br /&gt;
For example, when a machine (not a part of the system) lifts a system upwards, some energy is transferred from the machine to the system. The system's energy increases as work is done on the system and in this particular case, the energy increase of the system is manifested as an increase in the system's gravitational potential energy. Work added to the system increases the Potential Energy of the system:&lt;br /&gt;
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例如，当一台机器(不是系统的一部分)将系统向上提升时，一些能量就会从机器转移到系统。系统的能量随着系统所做功的增加而增加，在这种特殊的情况下，系统的能量增加表现为系统的重力势能的增加。对系统做的增加了系统的势能:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{PE}_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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::Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
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Or in general, the energy added to the system in the form of work can be partitioned to kinetic, potential or internal energy forms:&lt;br /&gt;
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或者一般来说，以功的形式加入系统的能量可以分为动能、势能或内能:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;W = \Delta \mathrm{KE}_{\rm system}+\Delta \mathrm{PE}_{\rm system}+\Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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* When matter is transferred into a system, that masses' associated internal energy and potential energy are transferred with it.&amp;lt;br&amp;gt;&lt;br /&gt;
当物质转移到一个系统中时，物质相关的内能和势能也随之转移。&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\left( u \,\Delta M \right)_{\rm in} = \Delta U_{\rm system}&amp;lt;/math&amp;gt;&lt;br /&gt;
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在 Delta u { system } / math 中的 math  left (u，Delta m  right)&lt;br /&gt;
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::where {{math|''u''}} denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and {{math|Δ''M''}} denotes the amount of transferred mass.&lt;br /&gt;
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where  denotes the internal energy per unit mass of the transferred matter, as measured while in the surroundings; and  denotes the amount of transferred mass.&lt;br /&gt;
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其中{{math|''u''}}表示在周围环境中测量的转移物质的单位质量的内能; {{math|Δ''M''}}表示被转移物质的数量。&lt;br /&gt;
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* The flow of [[heat]] is a form of energy transfer.&amp;lt;br&amp;gt;&lt;br /&gt;
热的流动是能量传递的一种形式。&lt;br /&gt;
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::Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
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Heating is a natural process of moving energy to or from a system other than by work or the transfer of matter. Direct passage of heat is only from a hotter to a colder system.&lt;br /&gt;
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加热是一个将能量转移到系统中或从系统中转移出的自然过程，而不是通过做功或物质的转移。热量只能从较热的系统直接传递到较冷的系统。&lt;br /&gt;
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:::If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
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If the system has rigid walls that are impermeable to matter, and consequently energy cannot be transferred as work into or out from the system, and no external long-range force field affects it that could change its internal energy, then the internal energy can only be changed by the transfer of energy as heat:&lt;br /&gt;
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如果系统具有不渗透物质的刚性壁，那么能量不能通过做功传入或传出系统，而且没有外部的远程力场影响系统以改变其内能，那么内能只能通过以热的形式进行传递来改变:&lt;br /&gt;
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:::&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\Delta U_{\rm system}=Q&amp;lt;/math&amp;gt;&lt;br /&gt;
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系统的 q / math&lt;br /&gt;
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where {{math|''Q''}} denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
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where  denotes the amount of energy transferred into the system as heat.&lt;br /&gt;
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其中 {{math|''Q''}}表示以热量形式传递到系统中的能量。&lt;br /&gt;
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Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
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Combining these principles leads to one traditional statement of the first law of thermodynamics: it is not possible to construct a machine which will perpetually output work without an equal amount of energy input to that machine. Or more briefly, a perpetual motion machine of the first kind is impossible.&lt;br /&gt;
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结合这些原理，就可以得出传统的热力学第一定律的表述: 不可能制造一台在没有等量能量输入的情况下不断做功的机器。或者更简单地说，第一类永动机是不可能造成的。&lt;br /&gt;
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==Second law==&lt;br /&gt;
第二定律&lt;br /&gt;
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The [[second law of thermodynamics]] indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
&lt;br /&gt;
The second law of thermodynamics indicates the irreversibility of natural processes and, in many cases, the tendency of natural processes to lead towards spatial homogeneity of matter and energy, and especially of temperature. It can be formulated in a variety of interesting and important ways.&lt;br /&gt;
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热力学第二定律表明了自然过程的不可逆性，并且在许多情况下，自然过程的趋向于物质很能量的空间均匀性，特别是温度。它可以用各种有趣而重要的方式来表达。&lt;br /&gt;
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It implies the existence of a quantity called the [[entropy]] of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
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It implies the existence of a quantity called the entropy of a thermodynamic system. In terms of this quantity it implies that&lt;br /&gt;
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这意味着热力学系统中存在一个叫做熵的量。了一个叫做热力学系统熵的量的存在。就这个数量而言，它意味着&lt;br /&gt;
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{{quote|When two initially isolated systems in separate but nearby regions of space, each in [[thermodynamic equilibrium]] with itself but not necessarily with each other, are then allowed to interact, they will eventually reach a mutual thermodynamic equilibrium. The sum of the [[entropy|entropies]] of the initially isolated systems is less than or equal to the total entropy of the final combination. Equality occurs just when the two original systems have all their respective intensive variables (temperature, pressure) equal; then the final system also has the same values.}}&amp;lt;br&amp;gt;&lt;br /&gt;
当两个最初隔离的系统分别位于彼此独立但不一定彼此处于热力学平衡的空间区域中，然后彼此相互作用时，它们最终将达到相互的热力学平衡。最初隔离的系统的熵之和小于或等于最终组合的总熵。当两个初始系统各自的强变量(温度、压力)相等时，才发生平等。那么最终的系统也有相同的值。&lt;br /&gt;
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The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
&lt;br /&gt;
The second law is applicable to a wide variety of processes, reversible and irreversible. All natural processes are irreversible. Reversible processes are a useful and convenient theoretical fiction, but do not occur in nature.&lt;br /&gt;
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第二定律适用于可逆和不可逆的多种过程。所有的自然过程都是不可逆的。可逆过程是一个有用的和方便的理论假设，但不发生在自然界。&lt;br /&gt;
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A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
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A prime example of irreversibility is in the transfer of heat by conduction or radiation. It was known long before the discovery of the notion of entropy that when two bodies initially of different temperatures come into thermal connection, then heat always flows from the hotter body to the colder one.&lt;br /&gt;
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这种不可逆性的一个主要例子是通过传导或辐射进行的热传递。早在熵的概念被发现之前，人们就已经知道，当两个最初温度不同的物体直接进行热连接时，热量总是自发地从较热的物体流向较冷的物体。&lt;br /&gt;
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The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
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The second law tells also about kinds of irreversibility other than heat transfer, for example those of friction and viscosity, and those of chemical reactions. The notion of entropy is needed to provide that wider scope of the law.&lt;br /&gt;
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第二定律也告诉我们除了热传递之外的不可逆性，例如摩擦力和粘度，以及化学反应。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;需要熵的概念给该定律提供更广泛的范围。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, ''δQ'', is the product of the temperature (''T''), both of the system and of the sources or destination of the heat, with the increment (''dS'') of the system's conjugate variable, its [[entropy]] (''S'')&lt;br /&gt;
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According to the second law of thermodynamics, in a theoretical and fictive reversible heat transfer, an element of heat transferred, δQ, is the product of the temperature (T), both of the system and of the sources or destination of the heat, with the increment (dS) of the system's conjugate variable, its entropy (S)&lt;br /&gt;
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根据热力学第二定律，在理论上和假设的可逆传热中，传热元素δQ是系统和热源或热目的地的温度(t)与系统共轭变量熵（S）的增量(dS)的乘积&lt;br /&gt;
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:&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&amp;lt;ref name=&amp;quot;Guggenheim 1985&amp;quot;/&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\delta Q = T\,dS\, .&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学 delta q t  ，dS  ，. / math&lt;br /&gt;
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[[Entropy]] may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as ''disorder'' on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&amp;lt;ref&amp;gt;Ben-Naim, A. (2008). ''A Farewell to Entropy: Statistical Thermodynamics Based on Information'', World Scientific, New Jersey, {{ISBN|978-981-270-706-2}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Entropy may also be viewed as a physical measure of the lack of physical information about the microscopic details of the motion and configuration of a system, when only the macroscopic states are known. This lack of information is often described as disorder on a microscopic or molecular scale. The law asserts that for two given macroscopically specified states of a system, there is a quantity called the difference of information entropy between them. This information entropy difference defines how much additional microscopic physical information is needed to specify one of the macroscopically specified states, given the macroscopic specification of the other – often a conveniently chosen reference state which may be presupposed to exist rather than explicitly stated. A final condition of a natural process always contains microscopically specifiable effects which are not fully and exactly predictable from the macroscopic specification of the initial condition of the process. This is why entropy increases in natural processes – the increase tells how much extra microscopic information is needed to distinguish the final macroscopically specified state from the initial macroscopically specified state.&lt;br /&gt;
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当只知道宏观状态时，熵也可以被看作是对系统运动和构型的微观细节有关的物理度量。这种细节通常在微观或分子尺度上被称为无序。该定律声称，对于一个系统的两个给定的宏观指定状态，它们之间存在一个被称为熵差的量。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这种熵的差异定义了需要多少额外的微观物理信息来指定一个宏观指定状态，给定另一个宏观指定状态-通常是一个方便选择的参考状态，这可能是假定存在的，而不是明确陈述的。自然过程的最终条件始终包含着微观上特定的影响，而这些影响，从过程初始条件的宏观规定来看是无法被完全准确预测的。这就是为什么熵在自然过程中会增加——熵的增加告诉我们需要多少额外的微观信息来区分最终的宏观指定状态和最初的宏观指定状态。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Third law==&lt;br /&gt;
第三定律&lt;br /&gt;
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The [[third law of thermodynamics]] is sometimes stated as follows:&lt;br /&gt;
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The third law of thermodynamics is sometimes stated as follows:&lt;br /&gt;
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热力学第三定律可以表示为：&lt;br /&gt;
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:''The [[entropy]] of a perfect [[crystal]] of any pure substance approaches zero as the temperature approaches [[absolute zero]].''&lt;br /&gt;
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The entropy of a perfect crystal of any pure substance approaches zero as the temperature approaches absolute zero.&lt;br /&gt;
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当温度接近绝对零度时，任何纯物质的完整晶体的熵接近零。&lt;br /&gt;
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At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one [[microstate (statistical mechanics)|state with minimum energy]].  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
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At zero temperature the system must be in a state with the minimum thermal energy. This statement holds true if the perfect crystal has only one state with minimum energy.  Entropy is related to the number of possible microstates according to:&lt;br /&gt;
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在零温时，系统必须处于热能最小的状态。如果完美晶体只有一种能量最小的状态，则该说法成立。熵与可能的微状态数有关:&lt;br /&gt;
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::&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;S = k_{\mathrm B}\, \mathrm{ln}\, \Omega&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学知识，数学知识，欧米茄 / 数学&lt;br /&gt;
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Where ''S'' is the entropy of the system, ''k''&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; [[Boltzmann constant|Boltzmann's constant]], and ''Ω'' the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (''Ω''=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
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Where S is the entropy of the system, k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt; Boltzmann's constant, and Ω the number of microstates (e.g. possible configurations of atoms). At absolute zero there is only 1 microstate possible (Ω=1 as all the atoms are identical for a pure substance and as a result all orders are identical as there is only one combination) and ln(1) = 0.&lt;br /&gt;
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其中 s 是系统的熵，k&amp;lt;sub&amp;gt;B&amp;lt;/sub&amp;gt;是玻尔兹曼常数，以及Ω是微状态数(例如:可能的原子结构)。在绝对零度下只有一种微状态(Ω=1，因为纯物质的所有原子都是相同的，所以所有阶数都是相同的，因为只有一个组合)和 ln (1)=0。&lt;br /&gt;
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A more general form of the third law that applies to a system such as a [[glass]] that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
A more general form of the third law that applies to a system such as a glass that may have more than one minimum microscopically distinct energy state, or may have a microscopically distinct state that is &amp;quot;frozen in&amp;quot; though not a strictly minimum energy state and not strictly speaking a state of thermodynamic equilibrium, at absolute zero temperature:&lt;br /&gt;
&lt;br /&gt;
第三定律的一个更普遍的形式，适用于像玻璃这样的系统，'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;可能有一个以上的微观上截然不同的能量状态，或可能有一个微观上截然不同的“冻结状态”，虽然不是一个严格意义上的的最低能量状态，也不是严格意义上的热力学平衡，&amp;lt;/font&amp;gt;'''在绝对零度:&lt;br /&gt;
&lt;br /&gt;
:''The entropy of a system approaches a constant value as the temperature approaches zero.''&lt;br /&gt;
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The entropy of a system approaches a constant value as the temperature approaches zero.&lt;br /&gt;
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系统的熵随着温度接近绝对零度而接近一个恒定值。&lt;br /&gt;
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The constant value (not necessarily zero) is called the [[residual entropy]] of the system.&lt;br /&gt;
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The constant value (not necessarily zero) is called the residual entropy of the system.&lt;br /&gt;
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这个常数(不一定是零)被称为系统的余熵。&lt;br /&gt;
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==History==&lt;br /&gt;
历史&lt;br /&gt;
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{{see also|Philosophy of thermal and statistical physics}}&amp;lt;br&amp;gt;&lt;br /&gt;
热学和统计物理学的哲学&lt;br /&gt;
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[[Mechanical equivalent of heat|Circa 1797, Count Rumford (born Benjamin Thompson)]] showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by [[Nicolas Léonard Sadi Carnot|Sadi Carnot]] in 1824. By 1860, as formalized in the works of those such as [[Rudolf Clausius]] and [[William Thomson, 1st Baron Kelvin|William Thomson]], two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist [[Josiah Willard Gibbs]], in his memoir ''Graphical Methods in the Thermodynamics of Fluids'', clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
&lt;br /&gt;
Circa 1797, Count Rumford (born Benjamin Thompson) showed that endless mechanical action can generate indefinitely large amounts of heat from a fixed amount of working substance thus challenging the caloric theory of heat, which held that there would be a finite amount of caloric heat/energy in a fixed amount of working substance. The first established thermodynamic principle, which eventually became the second law of thermodynamics, was formulated by Sadi Carnot in 1824. By 1860, as formalized in the works of those such as Rudolf Clausius and William Thomson, two established principles of thermodynamics had evolved, the first principle and the second principle, later restated as thermodynamic laws.  By 1873, for example, thermodynamicist Josiah Willard Gibbs, in his memoir Graphical Methods in the Thermodynamics of Fluids, clearly stated the first two absolute laws of thermodynamics.  Some textbooks throughout the 20th century have numbered the laws differently.  In some fields removed from chemistry, the second law was considered to deal with the efficiency of heat engines only, whereas what was called the third law dealt with entropy increases.  Directly defining zero points for entropy calculations was not considered to be a law.  Gradually, this separation was combined into the second law and the modern third law was widely adopted.&lt;br /&gt;
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大约在1797年，拉姆福德(出生于本杰明·汤普森)表明，无休止的机械作用可以从固定数量的工作物质中产生无限量的热量，从而挑战了热量理论。该理论认为在固定数量的工作物质中会有有限的热量 / 能量。1824年，萨迪·卡诺建立了第一个热力学原理，也就是后来的热力学第二定律。到1860年，正如鲁道夫 · 克劳修斯和威廉 · 汤姆森等人的著作所正式规定的那样，已经确立的两个热力学原理得到了发展，第一个原理和第二个原理，后来被重新定义为热力学定律。例如，1873年，热力学学家乔赛亚·威拉德·吉布斯在他的回忆录《流体热力学的图解法》中明确阐述了热力学的前两个绝对定律。整个20世纪的一些教科书对这些定律进行了不同的编号。在一些与化学无关的领域，第二定律被认为仅仅处理热机的效率问题，而所谓的第三定律则处理熵的增加问题。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;直接定义熵计算的零律不被认为是一条定律。&amp;lt;/font&amp;gt;'''这种分离逐渐形成了第二定律，现代第三定律被广泛采用。&lt;br /&gt;
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==See also==&lt;br /&gt;
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*化学热力学 [[Chemical thermodynamics]]&lt;br /&gt;
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*守恒定律 [[Conservation law (physics)|Conservation law]]&lt;br /&gt;
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*熵增 [[Entropy production]]&lt;br /&gt;
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*金斯伯格定理 [[Ginsberg's theorem]]&lt;br /&gt;
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*宇宙热寂 [[Heat death of the universe]]&lt;br /&gt;
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*H定理 [[H-theorem]]&lt;br /&gt;
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*科学规律 [[Laws of science]]&lt;br /&gt;
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*昂萨格倒易关系（有时被描述为热力学第四定律） [[Onsager reciprocal relations]] (sometimes described as a fourth law of thermodynamics)&lt;br /&gt;
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*统计力学 [[Statistical mechanics]]&lt;br /&gt;
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*热力学方程表 [[Table of thermodynamic equations]]&lt;br /&gt;
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==References==&amp;lt;br&amp;gt;&lt;br /&gt;
参考文献&lt;br /&gt;
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{{reflist|30em}}&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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* [[Peter Atkins|Atkins, Peter]] (2007). ''Four Laws That Drive the Universe''. OUP Oxford. {{ISBN|978-0199232369}}&lt;br /&gt;
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* Goldstein, Martin &amp;amp; Inge F. (1993). ''The Refrigerator and the Universe''. Harvard Univ. Press. {{ISBN|978-0674753259}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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* [http://www.bbc.co.uk/programmes/b06c06nd In Our Time: Perpetual Motion], BBC discussion about the Laws, with Ruth Gregory, Frank Close and Steven Bramwell, hosted by Melvyn Bragg, first broadcast 24 September 2015.&lt;br /&gt;
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[[Category:Laws of thermodynamics| ]]&lt;br /&gt;
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[[Category:Scientific laws]]&lt;br /&gt;
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Category:Scientific laws&lt;br /&gt;
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类别: 科学定律&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Laws of thermodynamics]]. Its edit history can be viewed at [[热力学定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%9B%9A%E5%BE%92%E5%9B%B0%E5%A2%83&amp;diff=14680</id>
		<title>囚徒困境</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%9B%9A%E5%BE%92%E5%9B%B0%E5%A2%83&amp;diff=14680"/>
		<updated>2020-10-01T15:23:32Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;此词条由Henry初步翻译。&lt;br /&gt;
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{{other uses}}&lt;br /&gt;
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{{short description|Canonical example of a game analyzed in game theory}}&lt;br /&gt;
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{| class=&amp;quot;wikitable floatright&amp;quot;&lt;br /&gt;
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|+ Prisoner's dilemma payoff matrix&lt;br /&gt;
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囚徒困境支付矩阵&lt;br /&gt;
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! {{diagonal split header|A|B}}&lt;br /&gt;
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! B stays&amp;lt;br /&amp;gt;silent&lt;br /&gt;
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!B 保持安静&lt;br /&gt;
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! B&amp;lt;br /&amp;gt;betrays&lt;br /&gt;
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The '''prisoner's dilemma''' is a standard example of a game analyzed in [[game theory]] that shows why two completely [[Rationality#Economics|rational]] individuals might not cooperate, even if it appears that it is in their best interests to do so. It was originally framed by [[Merrill Flood]] and [[Melvin Dresher]] while working at [[RAND Corporation|RAND]] in 1950. [[Albert W. Tucker]] formalized the game with prison sentence rewards and named it &amp;quot;prisoner's dilemma&amp;quot;,&amp;lt;ref&amp;gt;Poundstone, 1992&amp;lt;/ref&amp;gt; presenting it as follows:&lt;br /&gt;
&lt;br /&gt;
The prisoner's dilemma is a standard example of a game analyzed in game theory that shows why two completely rational individuals might not cooperate, even if it appears that it is in their best interests to do so. It was originally framed by Merrill Flood and Melvin Dresher while working at RAND in 1950. Albert W. Tucker formalized the game with prison sentence rewards and named it &amp;quot;prisoner's dilemma&amp;quot;, prensenting it as follows:&lt;br /&gt;
&lt;br /&gt;
囚徒困境是博弈论分析的一个代表性例子，它揭示了为什么两个完全理性的个体可能不会合作，即使这样做似乎对他们最有利。它最初是由 Merrill Flood 和 Melvin Dresher 于1950年在兰德公司工作时构建的。Albert W. Tucker将这种博弈以囚徒的方式加以阐述，并将其命名为“囚徒困境” ，具体阐述如下：&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）专有名词单独筛出来 利用语法标出来  参读自审清单中的每一项&lt;br /&gt;
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{{quote|Two members of a criminal gang are arrested and imprisoned. Each prisoner is in solitary confinement with no means of communicating with the other. The prosecutors lack sufficient evidence to convict the pair on the principal charge, but they have enough to convict both on a lesser charge. Simultaneously, the prosecutors offer each prisoner a bargain. Each prisoner is given the opportunity either to betray the other by testifying that the other committed the crime, or to cooperate with the other by remaining silent. The possible outcomes are:&lt;br /&gt;
&lt;br /&gt;
{{quote|Two members of a criminal gang are arrested and imprisoned. Each prisoner is in solitary confinement with no means of communicating with the other. The prosecutors lack sufficient evidence to convict the pair on the principal charge, but they have enough to convict both on a lesser charge. Simultaneously, the prosecutors offer each prisoner a bargain. Each prisoner is given the opportunity either to betray the other by testifying that the other committed the crime, or to cooperate with the other by remaining silent. The possible outcomes are:&lt;br /&gt;
&lt;br /&gt;
{{引号 | 一个犯罪团伙的两名成员被捕入狱。每个囚犯都被关在各自的禁闭室里，没有任何与其他囚犯沟通的方式。检察官缺乏足够的证据来定罪这两人的主要指控，但有足够的证据来定罪两人较轻的指控。同时，检察官向每个犯人提供了一个交易。每个囚犯都有机会出卖对方，证明对方犯下罪行，或者他们可以进行合作，保持沉默。可能的结果是:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）检察官缺乏足够的证据来定罪这两人的主要指控，但有足够的证据来定罪两人较轻的指控   这个可以考虑一下主要指控和次要指控 以及较重指控与较轻指控的对比&lt;br /&gt;
* If A and B each betray the other, each of them serves two years in prison&lt;br /&gt;
如果A和B都背叛了对方，他们都会在监狱服刑两年。&lt;br /&gt;
* If A betrays B but B remains silent, A will be set free and B will serve three years in prison&lt;br /&gt;
如果A背叛了B但B什么都没说，A会被无罪释放而B会服刑三年。&lt;br /&gt;
* If A remains silent but B betrays A, A will serve three years in prison and B will be set free&lt;br /&gt;
如果A保持沉默但B背叛了A，A会服刑三年而B会无罪释放。&lt;br /&gt;
* If A and B both remain silent, both of them will serve only one year in prison (on the lesser charge).}}&lt;br /&gt;
如果A和B都保持沉默，他们就只用服刑一年。&lt;br /&gt;
&lt;br /&gt;
It is implied that the prisoners will have no opportunity to reward or punish their partner other than the prison sentences they get and that their decision will not affect their reputation in the future. Because betraying a partner offers a greater reward than cooperating with them, all purely rational self-interested prisoners will betray the other, meaning the only possible outcome for two purely rational prisoners is for them to betray each other.&amp;lt;ref&amp;gt;{{cite web|last=Milovsky|first=Nicholas|title=The Basics of Game Theory and Associated Games|url=https://issuu.com/johnsonnick895/docs/game_theory_paper|accessdate=11 February 2014}}&amp;lt;/ref&amp;gt;  In reality, humans display a [[systemic bias]] towards cooperative behavior in this and similar games despite what is predicted by simple models of &amp;quot;rational&amp;quot; self-interested action.&amp;lt;ref name = Fehr&amp;gt;{{cite journal | last1=Fehr | first1= Ernst | last2=Fischbacher | first2=Urs   | date= Oct 23, 2003 | title=The Nature of human altruism |journal=Nature | volume=425 | pages=785–91 | doi=10.1038/nature02043 | url=http://www.iwp.jku.at/born/mpwfst/04/nature02043_f_born.pdf | accessdate=February 27, 2013 | pmid=14574401 | issue=6960|bibcode = 2003Natur.425..785F }}&amp;lt;/ref&amp;gt;&amp;lt;ref name = Amos&amp;gt;{{cite book | title=Preference, belief, and similarity: selected writings. | publisher=Massachusetts Institute of Technology Press | first1= Amos | last1=Tversky | first2=Eldar | last2=Shafir | url=http://cseweb.ucsd.edu/~gary/PAPER-SUGGESTIONS/Preference,%20Belief,%20and%20Similarity%20Selected%20Writings%20(Bradford%20Books).pdf  | year=2004 | isbn=9780262700931 | accessdate=February 27, 2013}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Ahn&amp;quot;&amp;gt;{{cite journal |last1 = Toh-Kyeong|first1 = Ahn|last2 = Ostrom|first2 = Elinor|last3 = Walker|first3 = James|date = Sep 5, 2002|title = Incorporating Motivational Heterogeneity into Game-Theoretic Models of Collective Action|journal = Public Choice|volume = 117|issue = 3–4|pages = 295–314|doi =10.1023/b:puch.0000003739.54365.fd |url = http://www.indiana.edu/~workshop/seminars/papers/ahnostromwalker_092402.pdf|accessdate = June 27, 2015|hdl = 10535/4697}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Hessel&amp;quot;&amp;gt;{{cite journal|last1 = Oosterbeek|first1 = Hessel|last2 = Sloof|first2 = Randolph|last3 = Van de Kuilen|first3 = Gus|date = Dec 3, 2003|title = Cultural Differences in Ultimatum Game Experiments: Evidence from a Meta-Analysis|journal = Experimental Economics|volume = 7|issue = 2|pages = 171–88|doi = 10.1023/B:EXEC.0000026978.14316.74|url = http://www.econ.nagoya-cu.ac.jp/~yhamagu/ultimatum.pdf|accessdate = February 27, 2013|url-status = dead|archiveurl = https://web.archive.org/web/20130512175243/http://www.econ.nagoya-cu.ac.jp/~yhamagu/ultimatum.pdf|archivedate = May 12, 2013}}&amp;lt;/ref&amp;gt; This bias towards cooperation has been known since the test was first conducted at RAND; the secretaries involved trusted each other and worked together for the best common outcome.&amp;lt;ref&amp;gt;{{Cite book | url=https://books.google.com/?id=WIhZlB86nJwC&amp;amp;pg=PT96&amp;amp;lpg=PT96&amp;amp;dq=rand+secretaries+prisoner%27s+dilemma#v=onepage |title = Why Most Things Fail|isbn = 9780571266142|last1 = Ormerod|first1 = Paul|date = 2010-12-22}}&amp;lt;/ref&amp;gt; The prisoner's dilemma became the focus of extensive experimental research.&amp;lt;ref&amp;gt;Deutsch, M. (1958). Trust and suspicion. Journal of Conflict Resolution, 2(4), 265–279. https://doi.org/10.1177/002200275800200401&amp;lt;/ref&amp;gt; &amp;lt;ref&amp;gt;Rapoport, A., &amp;amp; Chammah, A. M. (1965). Prisoner’s Dilemma: A study of conflict and cooperation. Ann Arbor, MI: University of Michigan Press.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is implied that the prisoners will have no opportunity to reward or punish their partner other than the prison sentences they get and that their decision will not affect their reputation in the future. Because betraying a partner offers a greater reward than cooperating with them, all purely rational self-interested prisoners will betray the other, meaning the only possible outcome for two purely rational prisoners is for them to betray each other.  In reality, humans display a systemic bias towards cooperative behavior in this and similar games despite what is predicted by simple models of &amp;quot;rational&amp;quot; self-interested action. This bias towards cooperation has been known since the test was first conducted at RAND; the secretaries involved trusted each other and worked together for the best common outcome. The prisoner's dilemma became the focus of extensive experimental research. &lt;br /&gt;
&lt;br /&gt;
这意味着，除了监禁刑罚之外，囚犯没有机会奖励或惩罚他们的同伴，他们的决定也不会影响他们未来的声誉。因为背叛一个同伴比与他们合作能得到更大的回报，所以所有纯粹理性的、自私自利的囚犯都会背叛对方，这意味着，对于两个纯粹理性的囚犯来说，唯一可能的结果就是他们相互背叛。在现实中，尽管“理性”自利行为的简单模型已经预测到了这一点，人类在这种和类似的博弈中对合作行为依然表现出一种系统性的偏见。自从在兰德公司首次进行这项测试以来，这种对合作的偏见就已经为人所知; 参与测试的秘书们相互信任，为了最佳的共同结果而共同努力。囚徒困境成为大量实验研究的焦点。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
An extended &amp;quot;iterated&amp;quot; version of the game also exists. In this version, the classic game is played repeatedly between the same prisoners, who continuously have the opportunity to penalize the other for previous decisions. If the number of times the game will be played is known to the players, then (by [[backward induction]]) two classically rational players will betray each other repeatedly, for the same reasons as the single-shot variant. In an infinite or unknown length game there is no fixed optimum strategy, and prisoner's dilemma tournaments have been held to compete and test algorithms for such cases.&amp;lt;ref&amp;gt;{{cite journal|url = https://egtheory.wordpress.com/2015/03/02/ipd/|title = Short history of iterated prisoner's dilemma tournaments|date = March 2, 2015|access-date = February 8, 2016|journal = Journal of Conflict Resolution|volume = 24|issue = 3|pages = 379–403|last = Kaznatcheev|first = Artem|doi = 10.1177/002200278002400301}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
An extended &amp;quot;iterated&amp;quot; version of the game also exists. In this version, the classic game is played repeatedly between the same prisoners, who continuously have the opportunity to penalize the other for previous decisions. If the number of times the game will be played is known to the players, then (by backward induction) two classically rational players will betray each other repeatedly, for the same reasons as the single-shot variant. In an infinite or unknown length game there is no fixed optimum strategy, and prisoner's dilemma tournaments have been held to compete and test algorithms for such cases.&lt;br /&gt;
&lt;br /&gt;
一个扩展的“迭代”版本的博弈由此衍生出来。在这个版本中，经典博弈会在在同一组囚犯之间重复进行，他们不断有机会因为以前的决定而惩罚另一个。如果参与者知道博弈的次数，那么(通过逆向归纳法)两个经典理性的玩家就会因为和在单次博弈相同的原因反复背叛对方。在无限次或未知次数的博弈中，没有固定的最优策略，囚徒困境竞赛因而能被用来竞赛并且检验这种情况下的算法。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“他们不断有机会因为以前的决定而惩罚另一个”是否考虑 补出“另一个”的主语是什么  另一个囚犯或者其他&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）“囚徒困境竞赛” 可以再斟酌一下？&lt;br /&gt;
&lt;br /&gt;
The prisoner's dilemma game can be used as a model for many [[#Real-life examples|real world situations]] involving cooperative behavior. In casual usage, the label &amp;quot;prisoner's dilemma&amp;quot; may be applied to situations not strictly matching the formal criteria of the classic or iterative games: for instance, those in which two entities could gain important benefits from cooperating or suffer from the failure to do so, but find it difficult or expensive—not necessarily impossible—to coordinate their activities.&lt;br /&gt;
&lt;br /&gt;
The prisoner's dilemma game can be used as a model for many real world situations involving cooperative behavior. In casual usage, the label &amp;quot;prisoner's dilemma&amp;quot; may be applied to situations not strictly matching the formal criteria of the classic or iterative games: for instance, those in which two entities could gain important benefits from cooperating or suffer from the failure to do so, but find it difficult or expensive—not necessarily impossible—to coordinate their activities.&lt;br /&gt;
&lt;br /&gt;
囚徒困境博弈可以作为许多现实世界中涉及合作行为的模型。在非正式用法中，”囚徒困境”一词可适用于不严格符合传统或迭代博弈的正式标准的情况: 例如，两个实体可以从合作中获得巨大利益或者会因为不能合作而遭受损失，但却发现协调其活动很困难或代价昂贵（并非不可能存在这种情况）。&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
==Strategy for the prisoner's dilemma==&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]） 注意章节名的翻译&lt;br /&gt;
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&lt;br /&gt;
Two prisoners are separated into individual rooms and cannot communicate with each other.&lt;br /&gt;
&lt;br /&gt;
Two prisoners are separated into individual rooms and cannot communicate with each other.&lt;br /&gt;
&lt;br /&gt;
两名囚犯被分开关押在各自的房间里，不能相互交流。&lt;br /&gt;
&lt;br /&gt;
The normal game is shown below:&lt;br /&gt;
&lt;br /&gt;
The normal game is shown below:&lt;br /&gt;
&lt;br /&gt;
正常的博弈如下:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{ | class“ wikitable”&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! {{diagonal split header|&amp;lt;br /&amp;gt;Prisoner A|Prisoner B}} !! Prisoner B stays silent&amp;lt;br&amp;gt;(''cooperates'') !! Prisoner B betrays&amp;lt;br&amp;gt;(''defects'')&lt;br /&gt;
&lt;br /&gt;
!  !! Prisoner B stays silent&amp;lt;br&amp;gt;(cooperates) !! Prisoner B betrays&amp;lt;br&amp;gt;(defects)&lt;br /&gt;
&lt;br /&gt;
!!!犯人 b 保持沉默，合作! ！犯人 b 出卖了自己的缺点&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! Prisoner A stays silent&amp;lt;br&amp;gt;(''cooperates'')&lt;br /&gt;
&lt;br /&gt;
! Prisoner A stays silent&amp;lt;br&amp;gt;(cooperates)&lt;br /&gt;
&lt;br /&gt;
!犯人 a 保持沉默&lt;br /&gt;
&lt;br /&gt;
| Each serves 1 year|| Prisoner A: 3 years&amp;lt;br /&amp;gt;Prisoner B: goes free&lt;br /&gt;
&lt;br /&gt;
| Each serves 1 year|| Prisoner A: 3 years&amp;lt;br /&amp;gt;Prisoner B: goes free&lt;br /&gt;
&lt;br /&gt;
每人服刑1年囚犯 a: 3年囚犯 b: 无罪释放&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! Prisoner A betrays&amp;lt;br&amp;gt;(''defects'')&lt;br /&gt;
&lt;br /&gt;
! Prisoner A betrays&amp;lt;br&amp;gt;(defects)&lt;br /&gt;
&lt;br /&gt;
!犯人 a 出卖了自己的缺点&lt;br /&gt;
&lt;br /&gt;
| Prisoner A: goes free&amp;lt;br /&amp;gt;Prisoner B: 3 years || Each serves 2 years&lt;br /&gt;
&lt;br /&gt;
| Prisoner A: goes free&amp;lt;br /&amp;gt;Prisoner B: 3 years || Each serves 2 years&lt;br /&gt;
&lt;br /&gt;
囚犯 a: 获释囚犯 b: 3年每人服刑2年&lt;br /&gt;
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|}&lt;br /&gt;
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|}&lt;br /&gt;
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|}&lt;br /&gt;
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&lt;br /&gt;
It is assumed that both prisoners understand the nature of the game, have no loyalty to each other, and will have no opportunity for retribution or reward outside the game. Regardless of what the other decides, each prisoner gets a higher reward by betraying the other (&amp;quot;defecting&amp;quot;). The reasoning involves an argument by [[Dilemma#Use in logic|dilemma]]: B will either cooperate or defect. If B cooperates, A should defect, because going free is better than serving 1 year. If B defects, A should also defect, because serving 2 years is better than serving 3. So either way, A should defect. Parallel reasoning will show that B should defect.&lt;br /&gt;
&lt;br /&gt;
It is assumed that both prisoners understand the nature of the game, have no loyalty to each other, and will have no opportunity for retribution or reward outside the game. Regardless of what the other decides, each prisoner gets a higher reward by betraying the other (&amp;quot;defecting&amp;quot;). The reasoning involves an argument by dilemma: B will either cooperate or defect. If B cooperates, A should defect, because going free is better than serving 1 year. If B defects, A should also defect, because serving 2 years is better than serving 3. So either way, A should defect. Parallel reasoning will show that B should defect.&lt;br /&gt;
&lt;br /&gt;
假设两个囚犯都了解博弈的本质，对彼此没有忠诚，且在博弈之外没有机会得到报复或奖励。那么不管对方怎么决定，每个犯人背叛对方都会得到更高的奖励(“叛变”)。推理涉及一个进退两难的论点:B 要么合作，要么叛变。如果B合作，A 应该叛变，因为得到释放总比服刑1年好。如果 B叛变，A也应该叛变，因为服刑2年总比服刑3年好。所以不管怎样，a 都应该叛变。并行推理表明B应该选择叛变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Because defection always results in a better payoff than cooperation regardless of the other player's choice, it is a [[dominant strategy]]. Mutual defection is the only strong [[Nash equilibrium]] in the game (i.e. the only outcome from which each player could only do worse by unilaterally changing strategy). The dilemma, then, is that mutual cooperation yields a better outcome than mutual defection but is not the rational outcome because the choice to cooperate, from a self-interested perspective, is irrational.&lt;br /&gt;
&lt;br /&gt;
Because defection always results in a better payoff than cooperation regardless of the other player's choice, it is a dominant strategy. Mutual defection is the only strong Nash equilibrium in the game (i.e. the only outcome from which each player could only do worse by unilaterally changing strategy). The dilemma, then, is that mutual cooperation yields a better outcome than mutual defection but is not the rational outcome because the choice to cooperate, from a self-interested perspective, is irrational.&lt;br /&gt;
&lt;br /&gt;
因为不管对方的选择如何，背叛总是比合作带来更好的回报，所以这是一个占优势的策略。相互背叛是游戏中唯一的强纳什均衡点（每个参与者单方面的改变策略只能使自己的情况变糟)。因此，困境在于，虽然相互合作比相互背叛产生更好的结果，但它却不是理性的结果，因为从自我利益的角度来看，合作的选择是非理性的。&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
==Generalized form==&lt;br /&gt;
&lt;br /&gt;
The structure of the traditional prisoner's dilemma can be generalized from its original prisoner setting. Suppose that the two players are represented by the colors red and blue, and that each player chooses to either &amp;quot;cooperate&amp;quot; or &amp;quot;defect&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
The structure of the traditional prisoner's dilemma can be generalized from its original prisoner setting. Suppose that the two players are represented by the colors red and blue, and that each player chooses to either &amp;quot;cooperate&amp;quot; or &amp;quot;defect&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
传统囚徒困境的结构可以从其最初的囚徒环境中概括出来。假设两个玩家用红色和蓝色表示，并且每个玩家选择“合作”或“背叛”。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If both players cooperate, they both receive the reward ''R'' for cooperating. If both players defect, they both receive the punishment payoff ''P''. If Blue defects while Red cooperates, then Blue receives the temptation payoff ''T'', while Red receives the &amp;quot;sucker's&amp;quot; payoff, ''S''. Similarly, if Blue cooperates while Red defects, then Blue receives the sucker's payoff ''S'', while Red receives the temptation payoff ''T''.&lt;br /&gt;
&lt;br /&gt;
If both players cooperate, they both receive the reward R for cooperating. If both players defect, they both receive the punishment payoff P. If Blue defects while Red cooperates, then Blue receives the temptation payoff T, while Red receives the &amp;quot;sucker's&amp;quot; payoff, S. Similarly, if Blue cooperates while Red defects, then Blue receives the sucker's payoff S, while Red receives the tem punishment payoffptation payoff T.&lt;br /&gt;
&lt;br /&gt;
如果两个玩家合作，他们都会因为合作而获得奖励R。如果两个参与人都叛变，他们都会受到惩罚 P。 如果蓝方叛变而红方合作，那么蓝方得到诱惑回报 T，而红方受到到“上当受骗者”损失S，同样地，如果蓝方合作而红方叛变，那么蓝方得到上当受骗者的支付S，而红方得到诱惑支付 T。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This can be expressed in [[Normal-form game|normal form]]:&lt;br /&gt;
&lt;br /&gt;
This can be expressed in normal form:&lt;br /&gt;
&lt;br /&gt;
这可以用标准形式来表示:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;text-align:center&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;text-align:center&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{ | 类“ wikitable”样式“ text-align: center”&lt;br /&gt;
&lt;br /&gt;
|+ Canonical PD payoff matrix&lt;br /&gt;
&lt;br /&gt;
|+ Canonical PD payoff matrix&lt;br /&gt;
&lt;br /&gt;
| + 正则 PD 支付矩阵&lt;br /&gt;
&lt;br /&gt;
! {{diagonal split header|{{color|#009|Blue}}|{{color|#900|Red}}}}&lt;br /&gt;
&lt;br /&gt;
! |}}&lt;br /&gt;
&lt;br /&gt;
!|}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | {{color|#900|Cooperate}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | &lt;br /&gt;
&lt;br /&gt;
!范围“ col”样式“ width: 60px; ” | &lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | {{color|#900|Defect}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | &lt;br /&gt;
&lt;br /&gt;
!范围“ col”样式“ width: 60px; ” | &lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; style=&amp;quot;width:60px;&amp;quot; | {{color|#009|Cooperate}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; style=&amp;quot;width:60px;&amp;quot; | &lt;br /&gt;
&lt;br /&gt;
!作用域“ row”样式“ width: 60px; ” | &lt;br /&gt;
&lt;br /&gt;
| {{diagonal split header|{{color|#009|''R''}}|{{color|#900|''R''}}|transparent}}&lt;br /&gt;
&lt;br /&gt;
| ||transparent}}&lt;br /&gt;
&lt;br /&gt;
会透明的&lt;br /&gt;
&lt;br /&gt;
| {{diagonal split header|{{color|#009|''S''}}|{{color|#900|''T''}}|transparent}}&lt;br /&gt;
&lt;br /&gt;
| ||transparent}}&lt;br /&gt;
&lt;br /&gt;
会透明的&lt;br /&gt;
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|-&lt;br /&gt;
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|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
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! scope=&amp;quot;row&amp;quot; | {{color|#009|Defect}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; | &lt;br /&gt;
&lt;br /&gt;
!瞄准镜&lt;br /&gt;
&lt;br /&gt;
| {{diagonal split header|{{color|#009|''T''}}|{{color|#900|''S''}}|transparent}}&lt;br /&gt;
&lt;br /&gt;
| ||transparent}}&lt;br /&gt;
&lt;br /&gt;
会透明的&lt;br /&gt;
&lt;br /&gt;
| {{diagonal split header|{{color|#009|''P''}}|{{color|#900|''P''}}|transparent}}&lt;br /&gt;
&lt;br /&gt;
| ||transparent}}&lt;br /&gt;
&lt;br /&gt;
会透明的&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
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|}&lt;br /&gt;
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|}&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
and to be a prisoner's dilemma game in the strong sense, the following condition must hold for the payoffs:&lt;br /&gt;
&lt;br /&gt;
and to be a prisoner's dilemma game in the strong sense, the following condition must hold for the payoffs:&lt;br /&gt;
&lt;br /&gt;
要成为强意义下的囚徒困境博弈，收益必须满足以下条件:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:{{tmath|T &amp;gt; R &amp;gt; P &amp;gt; S}}&lt;br /&gt;
&lt;br /&gt;
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The payoff relationship {{tmath|R &amp;gt; P}} implies that mutual cooperation is superior to mutual defection, while the payoff relationships {{tmath|T &amp;gt; R}} and {{tmath|P &amp;gt; S}} imply that defection is the [[dominant strategy]] for both agents.&lt;br /&gt;
&lt;br /&gt;
The payoff relationship  implies that mutual cooperation is superior to mutual defection, while the payoff relationships  and  imply that defection is the dominant strategy for both agents.&lt;br /&gt;
&lt;br /&gt;
回报关系意味着相互合作优于相互背叛，然而回报关系也意味着相互背叛背叛是双方的主导策略。&lt;br /&gt;
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===Special case: donation game===&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;donation game&amp;quot;&amp;lt;ref name=Hilbe2013&amp;gt;{{cite journal|last=Hilbe|first=Christian |author2=Martin A. Nowak |author3=Karl Sigmund|title=Evolution of extortion in Iterated Prisoner's Dilemma games|journal=PNAS|date=April 2013|volume=110|issue=17|pages=6913–18|doi=10.1073/pnas.1214834110|pmid=23572576 |pmc=3637695 |bibcode=2013PNAS..110.6913H |arxiv=1212.1067}}&amp;lt;/ref&amp;gt; is a form of prisoner's dilemma in which cooperation corresponds to offering the other player a benefit ''b'' at a personal cost ''c'' with ''b'' &amp;gt; ''c''. Defection means offering nothing. The payoff matrix is thus&lt;br /&gt;
&lt;br /&gt;
The &amp;quot;donation game&amp;quot; is a form of prisoner's dilemma in which cooperation corresponds to offering the other player a benefit b at a personal cost c with b &amp;gt; c. Defection means offering nothing. The payoff matrix is thus&lt;br /&gt;
&lt;br /&gt;
“捐赠博弈”是囚徒困境的一种形式，在这种博弈中，合作相当于以个人成本C为另一方提供一个收益B，而叛变意味着什么也不提供。回报矩阵是这样的&lt;br /&gt;
C&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;text-align:center&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;text-align:center&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{ | 类“ wikitable”样式“ text-align: center”&lt;br /&gt;
&lt;br /&gt;
! {{diagonal split header|{{navy (color)|Blue}}|{{color|#900|Red}}}}&lt;br /&gt;
&lt;br /&gt;
! |}}&lt;br /&gt;
&lt;br /&gt;
!|}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | {{color|#900|Cooperate}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | &lt;br /&gt;
&lt;br /&gt;
!范围“ col”样式“ width: 60px; ” | &lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | {{color|#900|Defect}}&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:60px;&amp;quot; | &lt;br /&gt;
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Note that {{tmath|2R&amp;gt;T+S}} (i.e. {{tmath|2(b-c)&amp;gt;b-c}}) which qualifies the donation game to be an iterated game (see next section).&lt;br /&gt;
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Note that  (i.e. ) which qualifies the donation game to be an iterated game (see next section).&lt;br /&gt;
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请注意(即)这使得捐赠博弈成为一个迭代博弈(见下一节)。&lt;br /&gt;
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The donation game may be applied to markets. Suppose X grows oranges, Y grows apples. The [[marginal utility]] of an apple to the orange-grower X is ''b'', which is higher than the marginal utility (''c'') of an orange, since X has a surplus of oranges and no apples. Similarly, for apple-grower Y, the marginal utility of an orange is ''b'' while the marginal utility of an apple is ''c''. If X and Y contract to exchange an apple and an orange, and each fulfills their end of the deal, then each receive a payoff of ''b''-''c''. If one &amp;quot;defects&amp;quot; and does not deliver as promised, the defector will receive a payoff of ''b'', while the cooperator will lose ''c''. If both defect, then neither one gains or loses anything.&lt;br /&gt;
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The donation game may be applied to markets. Suppose X grows oranges, Y grows apples. The marginal utility of an apple to the orange-grower X is b, which is higher than the marginal utility (c) of an orange, since X has a surplus of oranges and no apples. Similarly, for apple-grower Y, the marginal utility of an orange is b while the marginal utility of an apple is c. If X and Y contract to exchange an apple and an orange, and each fulfills their end of the deal, then each receive a payoff of b-c. If one &amp;quot;defects&amp;quot; and does not deliver as promised, the defector will receive a payoff of b, while the cooperator will lose c. If both defect, then neither one gains or loses anything.&lt;br /&gt;
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捐赠博弈可能适用于市场。假设 X种橘子，Y 种苹果。苹果对橙子种植者 X 的边际效用是 b，这比橙子的边际效用c高，因为 x 有橙子剩余而没有苹果。同样，对于苹果种植者 y 来说，橙子的边际效用是 b，而苹果的边际效用是 c。 如果 X 和Y签约交换一个苹果和一个橙子，并且每个人都完成了交易，那么每个人都会得到 从c到b的效用收益。如果一方违约没有按照承诺交货，那么这个违约者将得到 b 效用的收益，而合作者将失去 c的效用收益。 如果两者都违约，那么谁也不会得到或失去任何东西。&lt;br /&gt;
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==The iterated prisoner's dilemma==&lt;br /&gt;
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{{more citations needed section|date=November 2012}}&lt;br /&gt;
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If two players play prisoner's dilemma more than once in succession and they remember previous actions of their opponent and change their strategy accordingly, the game is called iterated prisoner's dilemma.&lt;br /&gt;
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If two players play prisoner's dilemma more than once in succession and they remember previous actions of their opponent and change their strategy accordingly, the game is called iterated prisoner's dilemma.&lt;br /&gt;
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如果两个参与者连续进行多次囚徒困境博弈，他们记住对手先前的行动并相应地改变策略，这种博弈被称为迭代囚徒困境。&lt;br /&gt;
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In addition to the general form above, the iterative version also requires that {{tmath|2R &amp;gt; T + S}}, to prevent alternating cooperation and defection giving a greater reward than mutual cooperation.&lt;br /&gt;
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In addition to the general form above, the iterative version also requires that , to prevent alternating cooperation and defection giving a greater reward than mutual cooperation.&lt;br /&gt;
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除了上面的一般形式之外，迭代版本还要求，防止交替的合作和背叛能比相互合作带来更大的回报。&lt;br /&gt;
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The iterated prisoner's dilemma game is fundamental to some theories of human cooperation and trust. On the assumption that the game can model transactions between two people requiring trust, cooperative behaviour in populations may be modeled by a multi-player, iterated, version of the game. It has, consequently, fascinated many scholars over the years. In 1975, Grofman and Pool estimated the count of scholarly articles devoted to it at over 2,000. The iterated prisoner's dilemma has also been referred to as the &amp;quot;[[Peace war game|peace-war game]]&amp;quot;.&amp;lt;ref name = Shy&amp;gt;{{cite book | title= Industrial Organization: Theory and Applications | publisher=Massachusetts Institute of Technology Press | first1= Oz | last1=Shy |url=https://books.google.com/?id=tr4CjJ5LlRcC&amp;amp;pg=PR13&amp;amp;dq=industrial+organization+theory+and+applications  | year=1995 | isbn=978-0262193665 | accessdate=February 27, 2013}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The iterated prisoner's dilemma game is fundamental to some theories of human cooperation and trust. On the assumption that the game can model transactions between two people requiring trust, cooperative behaviour in populations may be modeled by a multi-player, iterated, version of the game. It has, consequently, fascinated many scholars over the years. In 1975, Grofman and Pool estimated the count of scholarly articles devoted to it at over 2,000. The iterated prisoner's dilemma has also been referred to as the &amp;quot;peace-war game&amp;quot;.&lt;br /&gt;
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迭代囚徒困境博弈是一些人类合作与信任理论的基础。假设博弈可以为两个需要信任的人之间的交易建模，那么群体中的合作行为也可以由多个参与者迭代的博弈模型来建模。因此，这些年来，它吸引了许多学者。1975年，葛夫曼和普尔估计关于它的学术文章超过2000篇。迭代的的囚徒困境也被称为“和平-战争博弈”。&lt;br /&gt;
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If the game is played exactly ''N'' times and both players know this, then it is optimal to defect in all rounds. The only possible [[Nash equilibrium]] is to always defect. The proof is [[Mathematical induction|inductive]]: one might as well defect on the last turn, since the opponent will not have a chance to later retaliate. Therefore, both will defect on the last turn. Thus, the player might as well defect on the second-to-last turn, since the opponent will defect on the last no matter what is done, and so on.  The same applies if the game length is unknown but has a known upper limit.&lt;br /&gt;
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If the game is played exactly N times and both players know this, then it is optimal to defect in all rounds. The only possible Nash equilibrium is to always defect. The proof is inductive: one might as well defect on the last turn, since the opponent will not have a chance to later retaliate. Therefore, both will defect on the last turn. Thus, the player might as well defect on the second-to-last turn, since the opponent will defect on the last no matter what is done, and so on.  The same applies if the game length is unknown but has a known upper limit.&lt;br /&gt;
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如果这个游戏正好玩了 n 次，并且两个玩家都知道这一点，那么在所有回合中最佳的策略就是叛变。唯一可能的纳什均衡点就是永远叛变。证据是归纳的: 一个人不妨在最后一回合叛变，因为对手以后没有机会反击。因此，双方都会在最后一个回合叛变。所以玩家同样也会在倒数第二回合时变节，因为无论做什么，对手都会在倒数第三回合变节，依此类推。同样方法适用于博弈次&lt;br /&gt;
数未知但次数有限的情况。&lt;br /&gt;
Unlike the standard prisoner's dilemma, in the iterated prisoner's dilemma the defection strategy is counter-intuitive and fails badly to predict the behavior of human players. Within standard economic theory, though, this is the only correct answer.  The [[superrational]] strategy in the iterated prisoner's dilemma with fixed ''N'' is to cooperate against a superrational opponent, and in the limit of large ''N'', experimental results on strategies agree with the superrational version, not the game-theoretic rational one.&lt;br /&gt;
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Unlike the standard prisoner's dilemma, in the iterated prisoner's dilemma the defection strategy is counter-intuitive and fails badly to predict the behavior of human players. Within standard economic theory, though, this is the only correct answer.  The superrational strategy in the iterated prisoner's dilemma with fixed N is to cooperate against a superrational opponent, and in the limit of large N, experimental results on strategies agree with the superrational version, not the game-theoretic rational one.&lt;br /&gt;
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与标准的囚徒困境不同，在迭代的囚徒困境中，叛变策略是严重违反直觉的，以至于不能预测人类玩家的行为。然而，在标准的经济理论中，这是唯一正确的答案。具有固定次数 n 的迭代囚徒困境中的超理性策略是与超理性对手进行合作，在 n 很大的限制下，实验结果的策略与超理性结果的策略一致，而不是博弈论的理性结果。&lt;br /&gt;
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For [[cooperation]] to emerge between game theoretic rational players, the total number of rounds ''N'' must be unknown to the players. In this case &amp;quot;always defect&amp;quot; may no longer be a strictly dominant strategy, only a Nash equilibrium. Amongst results shown by [[Robert Aumann]] in a 1959 paper, rational players repeatedly interacting for indefinitely long games can sustain the cooperative outcome.&lt;br /&gt;
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For cooperation to emerge between game theoretic rational players, the total number of rounds N must be unknown to the players. In this case &amp;quot;always defect&amp;quot; may no longer be a strictly dominant strategy, only a Nash equilibrium. Amongst results shown by Robert Aumann in a 1959 paper, rational players repeatedly interacting for indefinitely long games can sustain the cooperative outcome.&lt;br /&gt;
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为了使博弈论理性参与者之间出现合作，参与者必须不知道 n 回合的总数。在这种情况下，“总是叛变”可能不再是一个严格占主导地位的策略，而只是一个纳什均衡点。罗伯特 · 奥曼在1959年的一篇论文中表明，理性参与者在无限多次的博弈中通过反复互动可以维持合作的结果。&lt;br /&gt;
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According to a 2019 experimental study in the ''American Economic Review'' which tested what strategies real-life subjects used in iterated prisoners' dilemma situations with perfect monitoring, the majority of chosen strategies were always defect, [[Tit for tat|tit-for-tat]], and [[Grim trigger]]. Which strategy the subjects chose depended on the parameters of the game.&amp;lt;ref&amp;gt;{{Cite journal|last=Dal Bó|first=Pedro|last2=Fréchette|first2=Guillaume R.|date=2019|title=Strategy Choice in the Infinitely Repeated Prisoner's Dilemma|journal=American Economic Review|language=en|volume=109|issue=11|pages=3929–3952|doi=10.1257/aer.20181480|issn=0002-8282}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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According to a 2019 experimental study in the American Economic Review which tested what strategies real-life subjects used in iterated prisoners' dilemma situations with perfect monitoring, the majority of chosen strategies were always defect, tit-for-tat, and Grim trigger. Which strategy the subjects chose depended on the parameters of the game.&lt;br /&gt;
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《美国经济评论》(American Economic Review)2019年的一项实验研究测试了现实生活中的实验对象在完全监控的情况下在迭代的囚徒困境中使用的策略，结果显示，大多数选择的策略都是叛变、针锋相对抑或是触发策略。受试者选择的策略取决于博弈的参数。&lt;br /&gt;
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===Strategy for the iterated prisoner's dilemma===&lt;br /&gt;
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Interest in the iterated prisoner's dilemma (IPD) was kindled by [[Robert Axelrod]] in his book ''[[The Evolution of Cooperation]]'' (1984). In it he reports on a tournament he organized of the ''N'' step prisoner's dilemma (with ''N'' fixed) in which participants have to choose their mutual strategy again and again, and have memory of their previous encounters. Axelrod invited academic colleagues all over the world to devise computer strategies to compete in an IPD tournament. The programs that were entered varied widely in algorithmic complexity, initial hostility, capacity for forgiveness, and so forth.&lt;br /&gt;
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Interest in the iterated prisoner's dilemma (IPD) was kindled by Robert Axelrod in his book The Evolution of Cooperation (1984). In it he reports on a tournament he organized of the N step prisoner's dilemma (with N fixed) in which participants have to choose their mutual strategy again and again, and have memory of their previous encounters. Axelrod invited academic colleagues all over the world to devise computer strategies to compete in an IPD tournament. The programs that were entered varied widely in algorithmic complexity, initial hostility, capacity for forgiveness, and so forth.&lt;br /&gt;
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罗伯特 · 阿克塞尔罗德在他的著作《合作的进化》(1984)中激起了了人们对迭代的囚徒困境(IPD)的兴趣。在这篇文章中，他报道了一个关于 n 次囚徒困境的比赛，参赛者必须一次又一次地选择他们共同的策略，并且要记住他们之前的遭遇。阿克塞尔罗德邀请世界各地的学术界同仁设计计算机策略来参加此次比赛。输入的程序在算法复杂性、最初敌意、宽恕能力等方面差异很大。&lt;br /&gt;
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Axelrod discovered that when these encounters were repeated over a long period of time with many players, each with different strategies, greedy strategies tended to do very poorly in the long run while more [[altruism|altruistic]] strategies did better, as judged purely by self-interest. He used this to show a possible mechanism for the evolution of altruistic behaviour from mechanisms that are initially purely selfish, by [[natural selection]].&lt;br /&gt;
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Axelrod discovered that when these encounters were repeated over a long period of time with many players, each with different strategies, greedy strategies tended to do very poorly in the long run while more altruistic strategies did better, as judged purely by self-interest. He used this to show a possible mechanism for the evolution of altruistic behaviour from mechanisms that are initially purely selfish, by natural selection.&lt;br /&gt;
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阿克塞尔罗德发现，当这些遭遇在很长一段时间内在许多玩家身上重复发生时，每个玩家都有不同的策略，从长远来看，贪婪策略往往表现得非常糟糕，而更加利他的策略表现得更好，这完全是根据自身利益来判断的。他利用这一结果，揭示了通过自然选择，从最初纯粹自私行为向利他行为进化的可能机制。&lt;br /&gt;
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The winning [[deterministic algorithm|deterministic]] strategy was tit for tat, which [[Anatol Rapoport]] developed and entered into the tournament. It was the simplest of any program entered, containing only four lines of [[BASIC]], and won the contest. The strategy is simply to cooperate on the first iteration of the game; after that, the player does what his or her opponent did on the previous move. Depending on the situation, a slightly better strategy can be &amp;quot;tit for tat with forgiveness&amp;quot;. When the opponent defects, on the next move, the player sometimes cooperates anyway, with a small probability (around 1–5%). This allows for occasional recovery from getting trapped in a cycle of defections. The exact probability depends on the line-up of opponents.&lt;br /&gt;
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The winning deterministic strategy was tit for tat, which Anatol Rapoport developed and entered into the tournament. It was the simplest of any program entered, containing only four lines of BASIC, and won the contest. The strategy is simply to cooperate on the first iteration of the game; after that, the player does what his or her opponent did on the previous move. Depending on the situation, a slightly better strategy can be &amp;quot;tit for tat with forgiveness&amp;quot;. When the opponent defects, on the next move, the player sometimes cooperates anyway, with a small probability (around 1–5%). This allows for occasional recovery from getting trapped in a cycle of defections. The exact probability depends on the line-up of opponents.&lt;br /&gt;
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最终获胜的决定性策略是以牙还牙，这是阿纳托尔 · 拉波波特开发并参加比赛的策略。这是所有参赛程序中最简单的一个，只有四行 BASIC 语言，并且赢得了比赛。策略很简单，就是在游戏的第一次迭代中进行合作; 在此之后，玩家做他或她的对手在前一步中所做的事情。根据具体情况，一个稍微好一点的策略可以是“带着宽恕的心以牙还牙”。当对手叛变时，在下一次博弈中，玩家有时还是会合作，但概率很小(大约1-5%)。这允许博弈能偶尔从陷入叛变循环中恢复过来。确切的概率取决于对手的安排。&lt;br /&gt;
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By analysing the top-scoring strategies, Axelrod stated several conditions necessary for a strategy to be successful.&lt;br /&gt;
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By analysing the top-scoring strategies, Axelrod stated several conditions necessary for a strategy to be successful.&lt;br /&gt;
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通过分析得分最高的战略，阿克塞尔罗德阐述了战略成功的几个必要条件。&lt;br /&gt;
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; Nice: The most important condition is that the strategy must be &amp;quot;nice&amp;quot;, that is, it will not defect before its opponent does (this is sometimes referred to as an &amp;quot;optimistic&amp;quot; algorithm). Almost all of the top-scoring strategies were nice; therefore, a purely selfish strategy will not &amp;quot;cheat&amp;quot; on its opponent, for purely self-interested reasons first.&lt;br /&gt;
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 Nice: The most important condition is that the strategy must be &amp;quot;nice&amp;quot;, that is, it will not defect before its opponent does (this is sometimes referred to as an &amp;quot;optimistic&amp;quot; algorithm). Almost all of the top-scoring strategies were nice; therefore, a purely selfish strategy will not &amp;quot;cheat&amp;quot; on its opponent, for purely self-interested reasons first.&lt;br /&gt;
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友好： 最重要的条件是策略必须是好的 ，也就是说，它不会在对手之前叛变(这有时被称为“乐观”算法)。几乎所有得分最高的策略都是友好的; 因此，一个纯粹自私的策略不会出于纯粹自身利益的原因而“欺骗”对手。&lt;br /&gt;
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; Retaliating: However, Axelrod contended, the successful strategy must not be a blind optimist. It must sometimes retaliate. An example of a non-retaliating strategy is Always Cooperate. This is a very bad choice, as &amp;quot;nasty&amp;quot; strategies will ruthlessly exploit such players.&lt;br /&gt;
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 Retaliating: However, Axelrod contended, the successful strategy must not be a blind optimist. It must sometimes retaliate. An example of a non-retaliating strategy is Always Cooperate. This is a very bad choice, as &amp;quot;nasty&amp;quot; strategies will ruthlessly exploit such players.&lt;br /&gt;
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报复: 然而，阿克塞尔罗德认为，成功的战略决不能是盲目的乐观主义。它有时必须进行报复。非报复策略的一个例子就是永远合作。这是一个非常糟糕的选择，因为“肮脏”的策略会无情地剥削这些玩家。&lt;br /&gt;
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; Forgiving: Successful strategies must also be forgiving. Though players will retaliate, they will once again fall back to cooperating if the opponent does not continue to defect. This stops long runs of revenge and counter-revenge, maximizing points.&lt;br /&gt;
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 Forgiving: Successful strategies must also be forgiving. Though players will retaliate, they will once again fall back to cooperating if the opponent does not continue to defect. This stops long runs of revenge and counter-revenge, maximizing points.&lt;br /&gt;
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宽容: 成功的策略也必须是宽容的。虽然玩家会报复，但如果对手不继续叛变，他们将再次回到合作的状态。这阻止了长时间的报复和反报复，最大限度地提高积分。&lt;br /&gt;
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; Non-envious: The last quality is being non-envious, that is not striving to score more than the opponent.&lt;br /&gt;
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 Non-envious: The last quality is being non-envious, that is not striving to score more than the opponent.&lt;br /&gt;
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不嫉妒: 最后一个品质是不嫉妒，不比对手得分更多。&lt;br /&gt;
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The optimal (points-maximizing) strategy for the one-time PD game is simply defection; as explained above, this is true whatever the composition of opponents may be. However, in the iterated-PD game the optimal strategy depends upon the strategies of likely opponents, and how they will react to defections and cooperations. For example, consider a population where everyone defects every time, except for a single individual following the tit for tat strategy. That individual is at a slight disadvantage because of the loss on the first turn. In such a population, the optimal strategy for that individual is to defect every time. In a population with a certain percentage of always-defectors and the rest being tit for tat players, the optimal strategy for an individual depends on the percentage, and on the length of the game.&lt;br /&gt;
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The optimal (points-maximizing) strategy for the one-time PD game is simply defection; as explained above, this is true whatever the composition of opponents may be. However, in the iterated-PD game the optimal strategy depends upon the strategies of likely opponents, and how they will react to defections and cooperations. For example, consider a population where everyone defects every time, except for a single individual following the tit for tat strategy. That individual is at a slight disadvantage because of the loss on the first turn. In such a population, the optimal strategy for that individual is to defect every time. In a population with a certain percentage of always-defectors and the rest being tit for tat players, the optimal strategy for an individual depends on the percentage, and on the length of the game.&lt;br /&gt;
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对于一次性的囚徒困境博弈，最优(点数最大化)策略就是简单的叛变; 正如上面所说，无论对手的构成如何，这都是正确的。然而，在迭代囚徒困境博弈中，最优策略取决于可能的对手的策略，以及他们对叛变和合作的反应。例如，考虑一个群体，其中每个人每次都会叛变，除了一个人遵循以牙还牙的策略。那个人就会由于第一回合的失利而处于轻微的不利地位。在这样一个群体中，个体的最佳策略是每次都叛变。在一定比例的总是选择背叛的玩家和其余组成为以牙还牙的玩家的人群中，个人的最佳策略取决于这一比例和博弈的次数。&lt;br /&gt;
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In the strategy called Pavlov, [[win-stay, lose-switch]], faced with a failure to cooperate, the player switches strategy the next turn.&amp;lt;ref&amp;gt;http://www.pnas.org/content/pnas/93/7/2686.full.pdf&amp;lt;/ref&amp;gt;  In certain circumstances,{{specify|date=November 2012}} Pavlov beats all other strategies by giving preferential treatment to co-players using a similar strategy.&lt;br /&gt;
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In the strategy called Pavlov, win-stay, lose-switch, faced with a failure to cooperate, the player switches strategy the next turn.  In certain circumstances, Pavlov beats all other strategies by giving preferential treatment to co-players using a similar strategy.&lt;br /&gt;
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在所谓的巴甫洛夫策略中，赢-保持，输-变换，面对一次合作失败，玩家将在下一次变换策略。在某些情况下，巴甫洛夫通过给予使用类似策略的合作者优惠待遇打败了所有其他策略。&lt;br /&gt;
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Deriving the optimal strategy is generally done in two ways:&lt;br /&gt;
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Deriving the optimal strategy is generally done in two ways:&lt;br /&gt;
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得出最佳策略通常有两种方法:&lt;br /&gt;
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* [[Bayesian Nash equilibrium]]: If the statistical distribution of opposing strategies can be determined (e.g. 50% tit for tat, 50% always cooperate) an optimal counter-strategy can be derived analytically.{{efn|1=For example see the 2003 study&amp;lt;ref&amp;gt;{{cite web|url= http://econ.hevra.haifa.ac.il/~mbengad/seminars/whole1.pdf|title=Bayesian Nash equilibrium; a statistical test of the hypothesis|url-status=dead|archive-url= https://web.archive.org/web/20051002195142/http://econ.hevra.haifa.ac.il/~mbengad/seminars/whole1.pdf|archive-date=2005-10-02|publisher=[[Tel Aviv University]]}}&amp;lt;/ref&amp;gt; for discussion of the concept and whether it can apply in real [[economic]] or strategic situations.}}&lt;br /&gt;
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* [[Monte Carlo method|Monte Carlo]] simulations of populations have been made, where individuals with low scores die off, and those with high scores reproduce (a [[genetic algorithm]] for finding an optimal strategy). The mix of algorithms in the final population generally depends on the mix in the initial population. The introduction of mutation (random variation during reproduction) lessens the dependency on the initial population; empirical experiments with such systems tend to produce tit for tat players (see for instance Chess 1988),{{Clarify|date=August 2016}} but no analytic proof exists that this will always occur.&amp;lt;ref&amp;gt;{{Citation|last=Wu|first=Jiadong|title=Cooperation on the Monte Carlo Rule: Prisoner's Dilemma Game on the Grid|date=2019|work=Theoretical Computer Science|volume=1069|pages=3–15|editor-last=Sun|editor-first=Xiaoming|publisher=Springer Singapore|language=en|doi=10.1007/978-981-15-0105-0_1|isbn=978-981-15-0104-3|last2=Zhao|first2=Chengye|editor2-last=He|editor2-first=Kun|editor3-last=Chen|editor3-first=Xiaoyun}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Although tit for tat is considered to be the most [[robust]] basic strategy, a team from [[Southampton University]] in England introduced a new strategy at the 20th-anniversary iterated prisoner's dilemma competition, which proved to be more successful than tit for tat. This strategy relied on collusion between programs to achieve the highest number of points for a single program. The university submitted 60 programs to the competition, which were designed to recognize each other through a series of five to ten moves at the start.&amp;lt;ref&amp;gt;{{cite press release|url= http://www.southampton.ac.uk/mediacentre/news/2004/oct/04_151.shtml|publisher=University of Southampton|title=University of Southampton team wins Prisoner's Dilemma competition|date=7 October 2004|url-status=dead|archive-url= https://web.archive.org/web/20140421055745/http://www.southampton.ac.uk/mediacentre/news/2004/oct/04_151.shtml|archive-date=2014-04-21}}&amp;lt;/ref&amp;gt; Once this recognition was made, one program would always cooperate and the other would always defect, assuring the maximum number of points for the defector. If the program realized that it was playing a non-Southampton player, it would continuously defect in an attempt to minimize the score of the competing program. As a result, the 2004 Prisoners' Dilemma Tournament results show [[University of Southampton]]'s strategies in the first three places, despite having fewer wins and many more losses than the GRIM strategy. (In a PD tournament, the aim of the game is not to &amp;quot;win&amp;quot; matches&amp;amp;nbsp;– that can easily be achieved by frequent defection). Also, even without implicit collusion between [[computer program|software strategies]] (exploited by the Southampton team) tit for tat is not always the absolute winner of any given tournament; it would be more precise to say that its long run results over a series of tournaments outperform its rivals. (In any one event a given strategy can be slightly better adjusted to the competition than tit for tat, but tit for tat is more robust). The same applies for the tit for tat with forgiveness variant, and other optimal strategies: on any given day they might not &amp;quot;win&amp;quot; against a specific mix of counter-strategies. An alternative way of putting it is using the Darwinian [[Evolutionarily stable strategy|ESS]] simulation. In such a simulation, tit for tat will almost always come to dominate, though nasty strategies will drift in and out of the population because a tit for tat population is penetrable by non-retaliating nice strategies, which in turn are easy prey for the nasty strategies. [[Richard Dawkins]] showed that here, no static mix of strategies form a stable equilibrium and the system will always oscillate between bounds.}} this strategy ended up taking the top three positions in the competition, as well as a number of positions towards the bottom.&lt;br /&gt;
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Although tit for tat is considered to be the most robust basic strategy, a team from Southampton University in England introduced a new strategy at the 20th-anniversary iterated prisoner's dilemma competition, which proved to be more successful than tit for tat. This strategy relied on collusion between programs to achieve the highest number of points for a single program. The university submitted 60 programs to the competition, which were designed to recognize each other through a series of five to ten moves at the start. Once this recognition was made, one program would always cooperate and the other would always defect, assuring the maximum number of points for the defector. If the program realized that it was playing a non-Southampton player, it would continuously defect in an attempt to minimize the score of the competing program. As a result, the 2004 Prisoners' Dilemma Tournament results show University of Southampton's strategies in the first three places, despite having fewer wins and many more losses than the GRIM strategy. (In a PD tournament, the aim of the game is not to &amp;quot;win&amp;quot; matches&amp;amp;nbsp;– that can easily be achieved by frequent defection). Also, even without implicit collusion between software strategies (exploited by the Southampton team) tit for tat is not always the absolute winner of any given tournament; it would be more precise to say that its long run results over a series of tournaments outperform its rivals. (In any one event a given strategy can be slightly better adjusted to the competition than tit for tat, but tit for tat is more robust). The same applies for the tit for tat with forgiveness variant, and other optimal strategies: on any given day they might not &amp;quot;win&amp;quot; against a specific mix of counter-strategies. An alternative way of putting it is using the Darwinian ESS simulation. In such a simulation, tit for tat will almost always come to dominate, though nasty strategies will drift in and out of the population because a tit for tat population is penetrable by non-retaliating nice strategies, which in turn are easy prey for the nasty strategies. Richard Dawkins showed that here, no static mix of strategies form a stable equilibrium and the system will always oscillate between bounds.}} this strategy ended up taking the top three positions in the competition, as well as a number of positions towards the bottom.&lt;br /&gt;
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尽管以牙还牙认为是最有力的基本策略，来自英格兰南安普敦大学的一个团队在20周年的迭代囚徒困境竞赛中提出了一个新策略，这个策略被证明比以牙还牙更为成功。这种策略依赖于程序之间的串通，以获得单个程序的最高分数。这所大学向比赛提交了60个程序，这些程序的设计目的是在比赛开始时通过一系列的5到10个动作来互相认识。一旦认识建立，一个程序总是合作，另一个程序总是叛变，保证叛变者得到最多的分数。如果这个程序意识到它正在和一个非南安普顿的球员比赛，它会不断地叛变，试图最小化与之竞争程序的得分。因此，2004年囚徒困境锦标赛的结果显示了南安普敦大学战略位居前三名，尽管它比冷酷战略赢得更少，输的更多。(在囚徒困境锦标赛中，比赛的目的不是“赢”比赛——这一点频繁叛变很容易实现)。此外，即使没有软件策略之间的暗中串通(南安普顿队利用了这一点) ，以牙还牙并不总是任何特定锦标赛的绝对赢家; 更准确地说，它是在一系列锦标赛中的长期结果超过了它的竞争对手。(在任何一个事件中，一个给定的策略可以比以牙还牙稍微更好地适应竞争，但是以牙还牙更有力)。这同样适用于带有宽恕变量的以牙还牙，和其他最佳策略: 在任何特定的一天，他们可能不会“赢”一个特定的混合反战略。另一种方法是使用达尔文的 ESS 模拟。在这样的模拟中，以牙还牙几乎总是占主导地位，尽管讨厌的策略会在人群中进进出出，因为使用以牙还牙策略的人群可以通过非报复性的好策略进行渗透，这反过来使他们容易成为讨厌策略的猎物。理查德·道金斯指出，在这里，没有静态的混合策略会形成一个稳定的平衡，系统将始终在界限之间振荡。这种策略最终在比赛中获得了前三名的位置，以及一些接近垫底的位置。&lt;br /&gt;
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This strategy takes advantage of the fact that multiple entries were allowed in this particular competition and that the performance of a team was measured by that of the highest-scoring player (meaning that the use of self-sacrificing players was a form of [[minmaxing]]). In a competition where one has control of only a single player, tit for tat is certainly a better strategy. Because of this new rule, this competition also has little theoretical significance when analyzing single agent strategies as compared to Axelrod's seminal tournament. However, it provided a basis for analysing how to achieve cooperative strategies in multi-agent frameworks, especially in the presence of noise. In fact, long before this new-rules tournament was played, Dawkins, in his book ''[[The Selfish Gene]]'', pointed out the possibility of such strategies winning if multiple entries were allowed, but he remarked that most probably Axelrod would not have allowed them if they had been submitted. It also relies on circumventing rules about the prisoner's dilemma in that there is no communication allowed between the two players, which the Southampton programs arguably did with their opening &amp;quot;ten move dance&amp;quot; to recognize one another; this only reinforces just how valuable communication can be in shifting the balance of the game.&lt;br /&gt;
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This strategy takes advantage of the fact that multiple entries were allowed in this particular competition and that the performance of a team was measured by that of the highest-scoring player (meaning that the use of self-sacrificing players was a form of minmaxing). In a competition where one has control of only a single player, tit for tat is certainly a better strategy. Because of this new rule, this competition also has little theoretical significance when analyzing single agent strategies as compared to Axelrod's seminal tournament. However, it provided a basis for analysing how to achieve cooperative strategies in multi-agent frameworks, especially in the presence of noise. In fact, long before this new-rules tournament was played, Dawkins, in his book The Selfish Gene, pointed out the possibility of such strategies winning if multiple entries were allowed, but he remarked that most probably Axelrod would not have allowed them if they had been submitted. It also relies on circumventing rules about the prisoner's dilemma in that there is no communication allowed between the two players, which the Southampton programs arguably did with their opening &amp;quot;ten move dance&amp;quot; to recognize one another; this only reinforces just how valuable communication can be in shifting the balance of the game.&lt;br /&gt;
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这种策略利用了这样一个事实，即在这场特殊的比赛中允许多个参赛项目，并且一支队伍的表现是由得分最高的项目来衡量的(这意味着使用自我牺牲的项目是一种分数最大化的形式)。在一个只能控制一个玩家的比赛中，以牙还牙当然是一个更好的策略。由于这一新规则的存在，与阿克塞尔罗德的具有深远影响的竞赛相比，这种竞赛在分析单个智能体策略时也就没有什么理论意义。然而，它为在分析多智能体框架下，特别是在存在干扰的情况下，如何实现协作策略提供了基础。事实上，早在这场新规则锦标赛开始之前，道金斯就在他的《自私的基因》一书中指出，如果允许多次参赛，这种策略就有可能获胜，但他说，如果提交这种策略的话，阿克塞尔罗德很可能不会允许。因为它依赖于规避囚徒困境的规则，即两个球员之间不允许交流，南安普顿的项目可以说在开场的“十步舞”中就是这样做以认识对方的; 这只是强调了交流对于改变游戏的平衡是多么有影响。&lt;br /&gt;
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===Stochastic iterated prisoner's dilemma===&lt;br /&gt;
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In a stochastic iterated prisoner's dilemma game, strategies are specified by in terms of &amp;quot;cooperation probabilities&amp;quot;.&amp;lt;ref name=Press2012&amp;gt;{{cite journal|last1=Press|first1=WH|last2=Dyson|first2=FJ|title=Iterated Prisoner's Dilemma contains strategies that dominate any evolutionary opponent|journal=[[Proceedings of the National Academy of Sciences of the United States of America]]|date=26 June 2012|volume=109|issue=26|pages=10409–13|doi=10.1073/pnas.1206569109|pmid=22615375|pmc=3387070|bibcode=2012PNAS..10910409P}}&amp;lt;/ref&amp;gt; In an encounter between player ''X'' and player ''Y'', ''X'' 's strategy is specified by a set of probabilities ''P'' of cooperating with ''Y''. ''P'' is a function of the outcomes of their previous encounters or some subset thereof. If ''P'' is a function of only their most recent ''n'' encounters, it is called a &amp;quot;memory-n&amp;quot; strategy. A memory-1 strategy is then specified by four cooperation probabilities:  &amp;lt;math&amp;gt;P=\{P_{cc},P_{cd},P_{dc},P_{dd}\}&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;P_{ab}&amp;lt;/math&amp;gt; is the probability that ''X'' will cooperate in the present encounter given that the previous encounter was characterized by (ab). For example, if the previous encounter was one in which ''X'' cooperated and ''Y'' defected, then &amp;lt;math&amp;gt;P_{cd}&amp;lt;/math&amp;gt; is the probability that ''X'' will cooperate in the present encounter. If each of the probabilities are either 1 or 0, the strategy is called deterministic. An example of a deterministic strategy is the tit for tat strategy written as ''P''={1,0,1,0}, in which ''X'' responds as ''Y'' did in the previous encounter. Another is the [[win–stay, lose–switch]] strategy written as ''P''={1,0,0,1}, in which ''X'' responds as in the previous encounter, if it was a &amp;quot;win&amp;quot; (i.e. cc or dc) but changes strategy if it was a loss (i.e. cd or dd). It has been shown that for any memory-n strategy there is a corresponding memory-1 strategy which gives the same statistical results, so that only memory-1 strategies need be considered.&amp;lt;ref name=&amp;quot;Press2012&amp;quot;/&amp;gt;&lt;br /&gt;
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In a stochastic iterated prisoner's dilemma game, strategies are specified by in terms of &amp;quot;cooperation probabilities&amp;quot;. In an encounter between player X and player Y, X 's strategy is specified by a set of probabilities P of cooperating with Y. P is a function of the outcomes of their previous encounters or some subset thereof. If P is a function of only their most recent n encounters, it is called a &amp;quot;memory-n&amp;quot; strategy. A memory-1 strategy is then specified by four cooperation probabilities:  &amp;lt;math&amp;gt;P=\{P_{cc},P_{cd},P_{dc},P_{dd}\}&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;P_{ab}&amp;lt;/math&amp;gt; is the probability that X will cooperate in the present encounter given that the previous encounter was characterized by (ab). For example, if the previous encounter was one in which X cooperated and Y defected, then &amp;lt;math&amp;gt;P_{cd}&amp;lt;/math&amp;gt; is the probability that X will cooperate in the present encounter. If each of the probabilities are either 1 or 0, the strategy is called deterministic. An example of a deterministic strategy is the tit for tat strategy written as P={1,0,1,0}, in which X responds as Y did in the previous encounter. Another is the win–stay, lose–switch strategy written as P={1,0,0,1}, in which X responds as in the previous encounter, if it was a &amp;quot;win&amp;quot; (i.e. cc or dc) but changes strategy if it was a loss (i.e. cd or dd). It has been shown that for any memory-n strategy there is a corresponding memory-1 strategy which gives the same statistical results, so that only memory-1 strategies need be considered.&lt;br /&gt;
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在随机迭代囚徒困境博弈中，策略由“合作概率”来确定。在玩家 x 和玩家 y 之间的遭遇中，x 的策略由一组与 y 合作的概率 p 确定，p 是他们之前遭遇的结果的函数，或者是其中的一些子集。如果 p 只是它们最近遇到次数 n 的函数，那么它被称为“记忆-n”策略。我们可以用四个合作概率确定一个记忆-1策略:p { cc }、 p { cd }、 p { dc }、 p { dd } ，其中 math遭遇中合作的概率。如果每个概率都是1或0，这种策略称为确定性策略。确定性策略的一个例子是以牙还牙策略，写成 p {1,0,1,0} ，其中 x 的反应和 y 在前一次遭遇中的反应一样。另一种是胜-保持-败-转换策略，它被写成 p {1,0,0,1} ，在这种策略中，如果 x 获得胜利(即:cc 或 dc)，x会做出与上一次遭遇一样的反应 ，但如果失败，x会改变策略(即cd 或 dd)。研究表明，对于任何一种记忆-n 策略，存在一个相应的记忆-1策略，这个策略给出相同的统计结果，因此只需要考虑记忆-1策略。&lt;br /&gt;
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If we define ''P'' as the above 4-element strategy vector of ''X'' and &amp;lt;math&amp;gt;Q=\{Q_{cc},Q_{cd},Q_{dc},Q_{dd}\}&amp;lt;/math&amp;gt; as the 4-element strategy vector of ''Y'', a transition matrix ''M'' may be defined for ''X'' whose ''ij'' th entry is the probability that the outcome of a particular encounter between ''X'' and ''Y'' will be ''j'' given that the previous encounter was ''i'', where ''i'' and ''j'' are one of the four outcome indices: ''cc'', ''cd'', ''dc'', or ''dd''. For example, from ''X'' 's point of view, the probability that the outcome of the present encounter is ''cd'' given that the previous encounter was ''cd'' is equal to &amp;lt;math&amp;gt;M_{cd,cd}=P_{cd}(1-Q_{dc})&amp;lt;/math&amp;gt;. (The indices for ''Q'' are from ''Y'' 's point of view: a ''cd'' outcome for ''X'' is a ''dc'' outcome for ''Y''.)  Under these definitions, the iterated prisoner's dilemma qualifies as a [[stochastic process]] and ''M'' is a [[stochastic matrix]], allowing all of the theory of stochastic processes to be applied.&amp;lt;ref name=&amp;quot;Press2012&amp;quot;/&amp;gt;&lt;br /&gt;
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If we define P as the above 4-element strategy vector of X and &amp;lt;math&amp;gt;Q=\{Q_{cc},Q_{cd},Q_{dc},Q_{dd}\}&amp;lt;/math&amp;gt; as the 4-element strategy vector of Y, a transition matrix M may be defined for X whose ij th entry is the probability that the outcome of a particular encounter between X and Y will be j given that the previous encounter was i, where i and j are one of the four outcome indices: cc, cd, dc, or dd. For example, from X 's point of view, the probability that the outcome of the present encounter is cd given that the previous encounter was cd is equal to &amp;lt;math&amp;gt;M_{cd,cd}=P_{cd}(1-Q_{dc})&amp;lt;/math&amp;gt;. (The indices for Q are from Y 's point of view: a cd outcome for X is a dc outcome for Y.)  Under these definitions, the iterated prisoner's dilemma qualifies as a stochastic process and M is a stochastic matrix, allowing all of the theory of stochastic processes to be applied.&lt;br /&gt;
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如果我们将 p 定义为 x 的上述4元策略向量，并将  q { cc }、 q { cd }、 q { dc }、 q { dd }  定义为 y 的4元策略向量，则对于 x 可以定义一个转移矩阵 m，该 x 的第 j 项是 x 和 y 之间特定遭遇的结果为 j 的概率，前一次遭遇为 i，其中 i 和 j 是 cc、 cd、 dc 或 dd 四个结果索引中的一个。例如，从 x 的角度来看，如果前一次遭遇的结果是 cd，那么这次遭遇的结果是 cd 的概率等于 m { cd，cd } p { cd }(1-Q { dc }) 。(q 的指数是 y 的观点: x 的 cd 结果是 y 的 dc 结果)在这些定义下，重复的囚徒困境被定义为一个随机过程，m 是一个转移矩阵，允许所有的随机过程理论被应用。&lt;br /&gt;
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One result of stochastic theory is that there exists a stationary vector ''v'' for the matrix ''M'' such that &amp;lt;math&amp;gt;v\cdot M=v&amp;lt;/math&amp;gt;. Without loss of generality, it may be specified that ''v'' is normalized so that the sum of its four components is unity. The ''ij'' th entry in &amp;lt;math&amp;gt;M^n&amp;lt;/math&amp;gt; will give the probability that the outcome of an encounter between ''X'' and ''Y'' will be ''j'' given that the encounter ''n'' steps previous is ''i''. In the limit as ''n'' approaches infinity, ''M'' will converge to a matrix with fixed values, giving the long-term probabilities of an encounter producing ''j'' which will be independent of ''i''. In other words, the rows of &amp;lt;math&amp;gt;M^\infty&amp;lt;/math&amp;gt; will be identical, giving the long-term equilibrium result probabilities of the iterated prisoners dilemma without the need to explicitly evaluate a large number of interactions. It can be seen that ''v'' is a stationary vector for &amp;lt;math&amp;gt;M^n&amp;lt;/math&amp;gt; and particularly &amp;lt;math&amp;gt;M^\infty&amp;lt;/math&amp;gt;, so that each row of &amp;lt;math&amp;gt;M^\infty&amp;lt;/math&amp;gt; will be equal to ''v''. Thus the stationary vector specifies the equilibrium outcome probabilities for ''X''. Defining &amp;lt;math&amp;gt;S_x=\{R,S,T,P\}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;S_y=\{R,T,S,P\}&amp;lt;/math&amp;gt; as the short-term payoff vectors for the {cc,cd,dc,dd} outcomes (From ''X'' 's point of view), the equilibrium payoffs for ''X'' and ''Y'' can now be specified as &amp;lt;math&amp;gt;s_x=v\cdot S_x&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;s_y=v\cdot S_y&amp;lt;/math&amp;gt;, allowing the two strategies ''P'' and ''Q'' to be compared for their long term payoffs.&lt;br /&gt;
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One result of stochastic theory is that there exists a stationary vector v for the matrix M such that &amp;lt;math&amp;gt;v\cdot M=v&amp;lt;/math&amp;gt;. Without loss of generality, it may be specified that v is normalized so that the sum of its four components is unity. The ij th entry in &amp;lt;math&amp;gt;M^n&amp;lt;/math&amp;gt; will give the probability that the outcome of an encounter between X and Y will be j given that the encounter n steps previous is i. In the limit as n approaches infinity, M will converge to a matrix with fixed values, giving the long-term probabilities of an encounter producing j which will be independent of i. In other words, the rows of &amp;lt;math&amp;gt;M^\infty&amp;lt;/math&amp;gt; will be identical, giving the long-term equilibrium result probabilities of the iterated prisoners dilemma without the need to explicitly evaluate a large number of interactions. It can be seen that v is a stationary vector for &amp;lt;math&amp;gt;M^n&amp;lt;/math&amp;gt; and particularly &amp;lt;math&amp;gt;M^\infty&amp;lt;/math&amp;gt;, so that each row of &amp;lt;math&amp;gt;M^\infty&amp;lt;/math&amp;gt; will be equal to v. Thus the stationary vector specifies the equilibrium outcome probabilities for X. Defining &amp;lt;math&amp;gt;S_x=\{R,S,T,P\}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;S_y=\{R,T,S,P\}&amp;lt;/math&amp;gt; as the short-term payoff vectors for the {cc,cd,dc,dd} outcomes (From X 's point of view), the equilibrium payoffs for X and Y can now be specified as &amp;lt;math&amp;gt;s_x=v\cdot S_x&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;s_y=v\cdot S_y&amp;lt;/math&amp;gt;, allowing the two strategies P and Q to be compared for their long term payoffs.&lt;br /&gt;
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随机理论的一个结果是，矩阵 m 存在一个平稳向量 v，使得矩阵 m 是一个平稳向量，并且不失一般性，我们可以指定 v 是标准化的，因此它的4个组成部分之和是单位。数学 m ^ n 中的 ij 项给出了 x 和 y 相遇的结果是 j 的概率，前面相遇 n 步的概率是 i。当 n 趋于无穷时，m 收敛于一个具有固定值的矩阵，并给出了产生 j 的长期概率，j 与 i 无关。换句话说， m 的无限次方的行将是相同的，给出了重复囚徒困境的长期平衡结果概率，而不需要明确地计算大量的相互作用。可以看出，v 是数学 m ^ n 特别是 m ^ infty  的平稳向量，因此数学 m的无限次方的每一行都等于 v，因此平稳向量指定 x 的平衡结果概率。将 s，r，s，t，p 和 s y，r，t，s，p  定义为{ cc，cd，dc，dd }结果的短期收益向量(从 x 的角度来看) ，x 和 y 的均衡收益现在可以指定为s_x=v\cdot S_x和s_y=v\cdot S_y ，使得两种P、Q策略能比较他们的长期回报。&lt;br /&gt;
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====Zero-determinant strategies====&lt;br /&gt;
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[[File:IPD Venn.svg|right|thumb|upright=2.5|The relationship between zero-determinant (ZD), cooperating and defecting strategies in the iterated  prisoner's dilemma (IPD) illustrated in a [[Venn diagram]]. Cooperating strategies always cooperate with other cooperating strategies, and defecting strategies always defect against other defecting strategies. Both contain subsets of strategies that are robust under strong selection, meaning no other memory-1 strategy is selected to invade such strategies when they are resident in a population. Only cooperating strategies contain a subset that are always robust, meaning that no other memory-1 strategy is selected to invade and replace such strategies, under both strong and [[weak selection]]. The intersection between ZD and good cooperating strategies is the set of generous ZD strategies. Extortion strategies are the intersection between ZD and non-robust defecting strategies. Tit-for-tat lies at the intersection of cooperating, defecting and ZD strategies.]]&lt;br /&gt;
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The relationship between zero-determinant (ZD), cooperating and defecting strategies in the iterated  prisoner's dilemma (IPD) illustrated in a [[Venn diagram. Cooperating strategies always cooperate with other cooperating strategies, and defecting strategies always defect against other defecting strategies. Both contain subsets of strategies that are robust under strong selection, meaning no other memory-1 strategy is selected to invade such strategies when they are resident in a population. Only cooperating strategies contain a subset that are always robust, meaning that no other memory-1 strategy is selected to invade and replace such strategies, under both strong and weak selection. The intersection between ZD and good cooperating strategies is the set of generous ZD strategies. Extortion strategies are the intersection between ZD and non-robust defecting strategies. Tit-for-tat lies at the intersection of cooperating, defecting and ZD strategies.]]&lt;br /&gt;
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利用文献[1]中的维恩图，讨论了迭代囚徒困境(IPD)中零行列式(ZD)、合作策略和变节策略之间的关系。合作策略总是与其他合作策略相互配合，而变通策略总是与其他变通策略相抵触。这两种策略都包含在强选择下具有鲁棒性的策略子集，这意味着当它们驻留在一个种群中时，没有其他记忆1策略被选择来入侵这样的策略。只有协作策略包含一个总是鲁棒的子集，这意味着在强选择和弱选择情况下，没有选择其他的记忆-1策略来入侵和替换这些策略。ZD和好的合作策略之间的交集是一套慷慨的 ZD 策略。敲诈策略是 ZD 策略和非鲁棒性叛逃策略的交集。以牙还牙是合作、背叛和 ZD 策略的交集。&lt;br /&gt;
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In 2012, [[William H. Press]] and [[Freeman Dyson]] published a new class of strategies for the stochastic iterated prisoner's dilemma called &amp;quot;zero-determinant&amp;quot; (ZD) strategies.&amp;lt;ref name=&amp;quot;Press2012&amp;quot;/&amp;gt; The long term payoffs for encounters between ''X'' and ''Y'' can be expressed as the determinant of a matrix which is a function of the two strategies and the short term payoff vectors: &amp;lt;math&amp;gt;s_x=D(P,Q,S_x)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;s_y=D(P,Q,S_y)&amp;lt;/math&amp;gt;, which do not involve the stationary vector ''v''. Since the determinant function &amp;lt;math&amp;gt;s_y=D(P,Q,f)&amp;lt;/math&amp;gt; is linear in ''f'', it follows that &amp;lt;math&amp;gt;\alpha s_x+\beta s_y+\gamma=D(P,Q,\alpha S_x+\beta S_y+\gamma U)&amp;lt;/math&amp;gt; (where ''U''={1,1,1,1}). Any strategies for which &amp;lt;math&amp;gt;D(P,Q,\alpha S_x+\beta S_y+\gamma U)=0&amp;lt;/math&amp;gt; is by definition a ZD strategy, and the long term payoffs obey the relation  &amp;lt;math&amp;gt;\alpha s_x+\beta s_y+\gamma=0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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In 2012, William H. Press and Freeman Dyson published a new class of strategies for the stochastic iterated prisoner's dilemma called &amp;quot;zero-determinant&amp;quot; (ZD) strategies. The long term payoffs for encounters between X and Y can be expressed as the determinant of a matrix which is a function of the two strategies and the short term payoff vectors: &amp;lt;math&amp;gt;s_x=D(P,Q,S_x)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;s_y=D(P,Q,S_y)&amp;lt;/math&amp;gt;, which do not involve the stationary vector v. Since the determinant function &amp;lt;math&amp;gt;s_y=D(P,Q,f)&amp;lt;/math&amp;gt; is linear in f, it follows that &amp;lt;math&amp;gt;\alpha s_x+\beta s_y+\gamma=D(P,Q,\alpha S_x+\beta S_y+\gamma U)&amp;lt;/math&amp;gt; (where U={1,1,1,1}). Any strategies for which &amp;lt;math&amp;gt;D(P,Q,\alpha S_x+\beta S_y+\gamma U)=0&amp;lt;/math&amp;gt; is by definition a ZD strategy, and the long term payoffs obey the relation  &amp;lt;math&amp;gt;\alpha s_x+\beta s_y+\gamma=0&amp;lt;/math&amp;gt;.&lt;br /&gt;
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2012年，威廉· h·普莱斯和弗里曼 · 戴森针对随机迭代囚徒困境提出了一类新的策略，称为“零决定因素”策略。x 和 y 之间的长期收益可以表示为一个矩阵的决定因素，它是两个策略和短期收益向量的函数: 不涉及平稳向量 v 的 s s x d (p，q，sx)  和 s y d (p，q，sy)。 由于行列式函数 s y d (p，q，f)  在 f 中是线性的，因此可以推出alpha s x + βs y + γd (p，q，αs x + βs y + γu)(其中 u {1,1,1})。任何策略的数学 d (p，q， αsx +  βsy +  gamma u)0 被定义为 ZD 策略，长期收益服从关系式。&lt;br /&gt;
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Tit-for-tat is a ZD strategy which is &amp;quot;fair&amp;quot; in the sense of not gaining advantage over the other player. However, the ZD space also contains strategies that, in the case of two players, can allow one player to unilaterally set the other player's score or alternatively, force an evolutionary player to achieve a payoff some percentage lower than his own. The extorted player could defect but would thereby hurt himself by getting a lower payoff. Thus, extortion solutions turn the iterated prisoner's dilemma into a sort of [[ultimatum game]]. Specifically, ''X'' is able to choose a strategy for which &amp;lt;math&amp;gt;D(P,Q,\beta S_y+\gamma U)=0&amp;lt;/math&amp;gt;, unilaterally setting &amp;lt;math&amp;gt;s_y&amp;lt;/math&amp;gt;  to a specific value within a particular range of values, independent of ''Y'' 's strategy, offering an opportunity for ''X'' to &amp;quot;extort&amp;quot; player ''Y'' (and vice versa). (It turns out that if ''X'' tries to set &amp;lt;math&amp;gt;s_x&amp;lt;/math&amp;gt; to a particular value, the range of possibilities is much smaller, only consisting of complete cooperation or complete defection.&amp;lt;ref name=&amp;quot;Press2012&amp;quot;/&amp;gt;)&lt;br /&gt;
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Tit-for-tat is a ZD strategy which is &amp;quot;fair&amp;quot; in the sense of not gaining advantage over the other player. However, the ZD space also contains strategies that, in the case of two players, can allow one player to unilaterally set the other player's score or alternatively, force an evolutionary player to achieve a payoff some percentage lower than his own. The extorted player could defect but would thereby hurt himself by getting a lower payoff. Thus, extortion solutions turn the iterated prisoner's dilemma into a sort of ultimatum game. Specifically, X is able to choose a strategy for which &amp;lt;math&amp;gt;D(P,Q,\beta S_y+\gamma U)=0&amp;lt;/math&amp;gt;, unilaterally setting &amp;lt;math&amp;gt;s_y&amp;lt;/math&amp;gt;  to a specific value within a particular range of values, independent of Y 's strategy, offering an opportunity for X to &amp;quot;extort&amp;quot; player Y (and vice versa). (It turns out that if X tries to set &amp;lt;math&amp;gt;s_x&amp;lt;/math&amp;gt; to a particular value, the range of possibilities is much smaller, only consisting of complete cooperation or complete defection.)&lt;br /&gt;
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以牙还牙是 ZD 战略，这是“公平”的意义上说，没有占其他玩家的便宜。然而，ZD 空间也包含一些策略，在两个玩家的情况下，允许一个玩家单方面设置另一个玩家的分数，或者强迫一个进化的玩家获得比他自己的分数低一定百分比的回报。被敲诈的玩家可能会叛变，但因此获得较低的回报而受到伤害。因此，敲诈的解决方案将迭代的囚徒困境转化为一种最后通牒博弈。具体来说，x 能够选择一种策略，对于这种策略，数学 d (p，q， beta sy +  gamma u)0 单方面地将 s y  设置为一个特定值范围内的特定值，与 y 的策略无关，为 x 提供了一个“勒索”玩家 y 的机会(反之亦然)。(事实证明，如果 x 试图将 s x 设置为一个特定的值，那么可能性的范围要小得多，只包括完全合作或完全叛变。)&lt;br /&gt;
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An extension of the IPD is an evolutionary stochastic IPD, in which the relative abundance of particular strategies is allowed to change, with more successful strategies relatively increasing. This process may be accomplished by having less successful players imitate the more successful strategies, or by eliminating less successful players from the game, while multiplying the more successful ones. It has been shown that unfair ZD strategies are not [[evolutionarily stable strategy|evolutionarily stable]]. The key intuition is that an evolutionarily stable strategy must not only be able to invade another population (which extortionary ZD strategies can do) but must also perform well against other players of the same type (which extortionary ZD players do poorly, because they reduce each other's surplus).&amp;lt;ref&amp;gt;{{cite journal|last=Adami|first=Christoph|author2=Arend Hintze|title=Evolutionary instability of Zero Determinant strategies demonstrates that winning isn't everything|journal=Nature Communications|volume=4|year=2013|page=3|arxiv=1208.2666|doi=10.1038/ncomms3193|pmid=23903782|pmc=3741637|bibcode=2013NatCo...4.2193A}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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An extension of the IPD is an evolutionary stochastic IPD, in which the relative abundance of particular strategies is allowed to change, with more successful strategies relatively increasing. This process may be accomplished by having less successful players imitate the more successful strategies, or by eliminating less successful players from the game, while multiplying the more successful ones. It has been shown that unfair ZD strategies are not evolutionarily stable. The key intuition is that an evolutionarily stable strategy must not only be able to invade another population (which extortionary ZD strategies can do) but must also perform well against other players of the same type (which extortionary ZD players do poorly, because they reduce each other's surplus).&lt;br /&gt;
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IPD的一个扩展是进化随机 IPD，其中允许特定策略的相对丰度发生变化，更成功的策略相对增加。这个过程可以通过让不那么成功的玩家模仿更成功的策略来完成，或者通过从游戏中淘汰不那么成功的玩家，同时让更成功的玩家成倍增加。研究表明，不公平的 ZD 策略不是进化稳定策略。关键的直觉告诉我们，简化稳定策略不仅要能够入侵另一个群体(这是敲诈 ZD 策略可以做到的) ，而且还要在同类型的其他玩家面前表现良好(敲诈 ZD 的玩家表现不佳，因为他们减少了彼此的盈余)。&lt;br /&gt;
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Theory and simulations confirm that beyond a critical population size, ZD extortion loses out in evolutionary competition against more cooperative strategies, and as a result, the average payoff in the population increases when the population is larger. In addition, there are some cases in which extortioners may even catalyze cooperation by helping to break out of a face-off between uniform defectors and [[win–stay, lose–switch]] agents.&amp;lt;ref name=Hilbe2013 /&amp;gt;&lt;br /&gt;
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Theory and simulations confirm that beyond a critical population size, ZD extortion loses out in evolutionary competition against more cooperative strategies, and as a result, the average payoff in the population increases when the population is larger. In addition, there are some cases in which extortioners may even catalyze cooperation by helping to break out of a face-off between uniform defectors and win–stay, lose–switch agents.&lt;br /&gt;
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理论和模拟证实，超过一个临界种群规模，ZD 勒索失去了在进化竞争对更多的合作策略，结果，平均回报在种群增加。此外，在有些情况下，勒索者甚至可能通过帮助打破一致叛变者与赢-保持-输-转换代理人之间的对峙而促进合作。&lt;br /&gt;
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While extortionary ZD strategies are not stable in large populations, another ZD class called &amp;quot;generous&amp;quot; strategies ''is'' both stable and robust.  In fact, when the population is not too small, these strategies can supplant any other ZD strategy and even perform well against a broad array of generic strategies for iterated prisoner's dilemma, including win–stay, lose–switch. This was proven specifically for the [[Prisoner's dilemma#Special case: Donation game|donation game]] by Alexander Stewart and Joshua Plotkin in 2013.&amp;lt;ref name=Stewart2013&amp;gt;{{cite journal|last=Stewart|first=Alexander J.|author2=Joshua B. Plotkin|title=From extortion to generosity, evolution in the Iterated Prisoner's Dilemma|journal=[[Proceedings of the National Academy of Sciences of the United States of America]]|year=2013|doi=10.1073/pnas.1306246110|pmid=24003115|volume=110|issue=38|pages=15348–53|bibcode=2013PNAS..11015348S|pmc=3780848}}&amp;lt;/ref&amp;gt; Generous strategies will cooperate with other cooperative players, and in the face of defection, the generous player loses more utility than its rival. Generous strategies are the intersection of ZD strategies and so-called &amp;quot;good&amp;quot; strategies, which were defined by Akin (2013)&amp;lt;ref name=Akin2013&amp;gt;{{cite arxiv|last=Akin|first=Ethan|title=Stable Cooperative Solutions for the Iterated Prisoner's Dilemma|year=2013|page=9|class=math.DS|eprint=1211.0969}} {{bibcode|2012arXiv1211.0969A}}&amp;lt;/ref&amp;gt; to be those for which the player responds to past mutual cooperation with future cooperation and splits expected payoffs equally if he receives at least the cooperative expected payoff. Among good strategies, the generous (ZD) subset performs well when the population is not too small. If the population is very small, defection strategies tend to dominate.&amp;lt;ref name=Stewart2013 /&amp;gt;&lt;br /&gt;
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While extortionary ZD strategies are not stable in large populations, another ZD class called &amp;quot;generous&amp;quot; strategies is both stable and robust.  In fact, when the population is not too small, these strategies can supplant any other ZD strategy and even perform well against a broad array of generic strategies for iterated prisoner's dilemma, including win–stay, lose–switch. This was proven specifically for the donation game by Alexander Stewart and Joshua Plotkin in 2013. Generous strategies will cooperate with other cooperative players, and in the face of defection, the generous player loses more utility than its rival. Generous strategies are the intersection of ZD strategies and so-called &amp;quot;good&amp;quot; strategies, which were defined by Akin (2013) to be those for which the player responds to past mutual cooperation with future cooperation and splits expected payoffs equally if he receives at least the cooperative expected payoff. Among good strategies, the generous (ZD) subset performs well when the population is not too small. If the population is very small, defection strategies tend to dominate.&lt;br /&gt;
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虽然被敲诈的 ZD 策略在人口众多的情况下并不稳定，但另一种被称为“慷慨”的 ZD 策略既稳定又强健。事实上，当人口不是太少的时候，这些策略可以取代任何其他 ZD 策略，甚至在一系列针对迭代囚徒困境的通用策略中表现良好，包括赢-保持，输-转换策略。亚历山大·斯图尔特和约书亚·普洛特金在2013年的捐赠博弈中证明了这一点。慷慨的策略会与其他合作的玩家合作，面对叛变，慷慨的玩家比他的对手失去更多的效用。慷慨策略是 ZD 策略和所谓的“好”策略的交集，Akin (2013)将这两种策略定义为玩家对过去的相互合作作出回应，并在至少获得合作预期收益的情况下平均分配预期收益的策略。在好的策略中，当总体不太小时，慷慨(ZD)子集表现良好。如果总体很少，叛变策略往往占主导地位。&lt;br /&gt;
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===Continuous iterated prisoner's dilemma===&lt;br /&gt;
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Most work on the iterated prisoner's dilemma has focused on the discrete case, in which players either cooperate or defect, because this model is relatively simple to analyze. However, some researchers have looked at models of the continuous iterated prisoner's dilemma, in which players are able to make a variable contribution to the other player. Le and Boyd&amp;lt;ref&amp;gt;{{cite journal | last1 = Le | first1 = S. | last2 = Boyd | first2 = R. |name-list-format=vanc| year = 2007 | title = Evolutionary Dynamics of the Continuous Iterated Prisoner's Dilemma | url = | journal = Journal of Theoretical Biology | volume = 245 | issue = 2| pages = 258–67 | doi = 10.1016/j.jtbi.2006.09.016 | pmid = 17125798 }}&amp;lt;/ref&amp;gt; found that in such situations, cooperation is much harder to evolve than in the discrete iterated prisoner's dilemma. The basic intuition for this result is straightforward: in a continuous prisoner's dilemma, if a population starts off in a non-cooperative equilibrium, players who are only marginally more cooperative than non-cooperators get little benefit from [[Assortative mating|assorting]] with one another. By contrast, in a discrete prisoner's dilemma, tit for tat cooperators get a big payoff boost from assorting with one another in a non-cooperative equilibrium, relative to non-cooperators. Since nature arguably offers more opportunities for variable cooperation rather than a strict dichotomy of cooperation or defection, the continuous prisoner's dilemma may help explain why real-life examples of tit for tat-like cooperation are extremely rare in nature (ex. Hammerstein&amp;lt;ref&amp;gt;Hammerstein, P. (2003). Why is reciprocity so rare in social animals? A protestant appeal. In: P. Hammerstein, Editor, Genetic and Cultural Evolution of Cooperation, MIT Press. pp. 83–94.&lt;br /&gt;
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Most work on the iterated prisoner's dilemma has focused on the discrete case, in which players either cooperate or defect, because this model is relatively simple to analyze. However, some researchers have looked at models of the continuous iterated prisoner's dilemma, in which players are able to make a variable contribution to the other player. Le and Boyd found that in such situations, cooperation is much harder to evolve than in the discrete iterated prisoner's dilemma. The basic intuition for this result is straightforward: in a continuous prisoner's dilemma, if a population starts off in a non-cooperative equilibrium, players who are only marginally more cooperative than non-cooperators get little benefit from assorting with one another. By contrast, in a discrete prisoner's dilemma, tit for tat cooperators get a big payoff boost from assorting with one another in a non-cooperative equilibrium, relative to non-cooperators. Since nature arguably offers more opportunities for variable cooperation rather than a strict dichotomy of cooperation or defection, the continuous prisoner's dilemma may help explain why real-life examples of tit for tat-like cooperation are extremely rare in nature (ex. Hammerstein&amp;lt;ref&amp;gt;Hammerstein, P. (2003). Why is reciprocity so rare in social animals? A protestant appeal. In: P. Hammerstein, Editor, Genetic and Cultural Evolution of Cooperation, MIT Press. pp. 83–94.&lt;br /&gt;
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关于迭代囚徒困境的研究大多集中在离散情况下，在这种情况下，参与者要么合作，要么叛变，因为这个模型分析起来比较简单。然而，一些研究人员已经研究了连续迭代囚徒困境的模型，在这个模型中，玩家能够对另一个玩家做出可变的贡献。le和Boyd发现，在这种情况下，合作比离散迭代的囚徒困境更难发展。这个结果的基本直觉很简单: 在一个持续的囚徒困境中，如果一个人群开始处于非合作均衡状态，那么只比非合作者稍微多一点合作性的玩家从相互配合中获益不大。相比之下，在离散的囚徒困境中，以牙还牙的合作者相对于非合作者，在非合作均衡中相互配合会获得较大的回报提升。由于自然可以提供更多的机会来进行各种各样的合作，而不是严格地将合作或叛变分为两类，持续的囚徒困境可以帮助解释为什么现实生活中以牙还牙的合作的例子在自然界中极其罕见。（参考汉默斯坦，p.(2003)。《为什么互惠在群居动物中如此罕见？新教徒的呼吁：合作的基因和文化进化》 ，麻省理工学院出版社。83–94页）。&lt;br /&gt;
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&amp;lt;/ref&amp;gt;) even though tit for tat seems robust in theoretical models.&lt;br /&gt;
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&amp;lt;/ref&amp;gt;) even though tit for tat seems robust in theoretical models.&lt;br /&gt;
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尽管在理论模型中，以牙还牙似乎是有力的。&lt;br /&gt;
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===Emergence of stable strategies===&lt;br /&gt;
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Players cannot seem to coordinate mutual cooperation, thus often get locked into the inferior yet stable strategy of defection.  In this way, iterated rounds facilitate the evolution of stable strategies.&amp;lt;ref&amp;gt;{{cite book|last=Spaniel|first=William|title=Game Theory 101: The Complete Textbook|year=2011}}&amp;lt;/ref&amp;gt; Iterated rounds often produce novel strategies, which have implications to complex social interaction. One such strategy is win-stay lose-shift. This strategy outperforms a simple Tit-For-Tat strategy&amp;amp;nbsp;– that is, if you can get away with cheating, repeat that behavior, however if you get caught, switch.&amp;lt;ref&amp;gt;{{cite journal|last=Nowak|first=Martin|author2=Karl Sigmund|title=A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner's Dilemma game|journal=Nature|year=1993|volume=364|issue=6432|doi=10.1038/364056a0|pages=56–58|pmid=8316296|bibcode=1993Natur.364...56N}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Players cannot seem to coordinate mutual cooperation, thus often get locked into the inferior yet stable strategy of defection.  In this way, iterated rounds facilitate the evolution of stable strategies. Iterated rounds often produce novel strategies, which have implications to complex social interaction. One such strategy is win-stay lose-shift. This strategy outperforms a simple Tit-For-Tat strategy&amp;amp;nbsp;– that is, if you can get away with cheating, repeat that behavior, however if you get caught, switch.&lt;br /&gt;
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玩家似乎不能协调相互合作，因此常常陷入劣势但稳定的叛变策略。通过这种方式，迭代回合可以促进稳定策略的进化。多轮循环往往产生新颖的策略，这对复杂的社会互动有影响。其中一个策略就是“赢-保持-输”的转变。这个策略比一个简单的以牙还牙策略要好——也就是说，如果你能逃脱作弊的惩罚，重复这个行为，但是如果你被抓住了，就改变策略。&lt;br /&gt;
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The only problem of this tit-for-tat strategy is that they are vulnerable to signal error. The problem arises when one individual cheats in retaliation but the other interprets it as cheating. As a result of this, the second individual now cheats and then it starts a see-saw pattern of cheating in a chain reaction.&lt;br /&gt;
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The only problem of this tit-for-tat strategy is that they are vulnerable to signal error. The problem arises when one individual cheats in retaliation but the other interprets it as cheating. As a result of this, the second individual now cheats and then it starts a see-saw pattern of cheating in a chain reaction.&lt;br /&gt;
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这种以牙还牙策略的唯一问题是，它们很容易出现信号错误。当一个人因报复而作弊，而另一个人将其单纯解释为欺骗时，问题就出现了。结果，第二个人现在作弊，然后在接下来的连锁反应中开始了反复交替的作弊模式。&lt;br /&gt;
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==Real-life examples==&lt;br /&gt;
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The prisoner setting may seem contrived, but there are in fact many examples in human interaction as well as interactions in nature that have the same payoff matrix. The prisoner's dilemma is therefore of interest to the [[social science]]s such as [[economics]], [[politics]], and [[sociology]], as well as to the biological sciences such as [[ethology]] and [[evolutionary biology]]. Many natural processes have been abstracted into models in which living beings are engaged in endless games of prisoner's dilemma. This wide applicability of the PD gives the game its substantial importance.&lt;br /&gt;
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The prisoner setting may seem contrived, but there are in fact many examples in human interaction as well as interactions in nature that have the same payoff matrix. The prisoner's dilemma is therefore of interest to the social sciences such as economics, politics, and sociology, as well as to the biological sciences such as ethology and evolutionary biology. Many natural processes have been abstracted into models in which living beings are engaged in endless games of prisoner's dilemma. This wide applicability of the PD gives the game its substantial importance.&lt;br /&gt;
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囚犯的设置看起来似乎是人为的，但实际上在人类交往以及自然界的交互中有许多具有相同收益矩阵的例子。囚徒困境是经济学、政治学、社会学等社会科学以及动物行为学、进化生物学等生物学研究的热点问题。许多自然过程都被抽象为生物进行无休止的囚徒困境博弈的模型。这种广泛的适用性让博弈非常重要。&lt;br /&gt;
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===Environmental studies===&lt;br /&gt;
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In [[environmental studies]], the PD is evident in crises such as global [[climate change|climate-change]]. It is argued all countries will benefit from a stable climate, but any single country is often hesitant to curb [[Carbon dioxide|{{Co2}}]] emissions. The immediate benefit to any one country from maintaining current behavior is wrongly perceived to be greater than the purported eventual benefit to that country if all countries' behavior was changed, therefore explaining the impasse concerning climate-change in 2007.&amp;lt;ref&amp;gt;{{cite news|newspaper=[[The Economist]]|url=http://www.economist.com/finance/displaystory.cfm?story_id=9867020|title=Markets &amp;amp; Data|date=2007-09-27}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In environmental studies, the PD is evident in crises such as global climate-change. It is argued all countries will benefit from a stable climate, but any single country is often hesitant to curb Carbon dioxide| emissions. The immediate benefit to any one country from maintaining current behavior is wrongly perceived to be greater than the purported eventual benefit to that country if all countries' behavior was changed, therefore explaining the impasse concerning climate-change in 2007.&lt;br /&gt;
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在环境研究中，在诸如全球气候变化等危机中，这种差异显而易见。有人认为，所有国家都将从稳定的气候中受益，但是任何一个国家往往都在遏制二氧化碳排放方面犹豫不决。人们错误地认为，如果所有国家的行为都改变，任何一个国家保持目前的行为所带来的直接好处都会大于所谓的最终好处，这就解释了2007年气候变化方面的僵局。&lt;br /&gt;
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An important difference between climate-change politics and the prisoner's dilemma is uncertainty; the extent and pace at which pollution can change climate is not known. The dilemma faced by government is therefore different from the prisoner's dilemma in that the payoffs of cooperation are unknown. This difference suggests that states will cooperate much less than in a real iterated prisoner's dilemma, so that the probability of avoiding a possible climate catastrophe is much smaller than that suggested by a game-theoretical analysis of the situation using a real iterated prisoner's dilemma.&amp;lt;ref&amp;gt;{{cite web|last=Rehmeyer|first=Julie|title=Game theory suggests current climate negotiations won't avert catastrophe|url=https://www.sciencenews.org/article/game-theory-suggests-current-climate-negotiations-won%E2%80%99t-avert-catastrophe|work=Science News|publisher=Society for Science &amp;amp; the Public|date=2012-10-29}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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An important difference between climate-change politics and the prisoner's dilemma is uncertainty; the extent and pace at which pollution can change climate is not known. The dilemma faced by government is therefore different from the prisoner's dilemma in that the payoffs of cooperation are unknown. This difference suggests that states will cooperate much less than in a real iterated prisoner's dilemma, so that the probability of avoiding a possible climate catastrophe is much smaller than that suggested by a game-theoretical analysis of the situation using a real iterated prisoner's dilemma.&lt;br /&gt;
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气候变化政治与囚徒困境之间的一个重要区别是不确定性; 污染对气候变化的影响程度和速度尚不清楚。因此，政府面临的困境不同于囚徒困境，因为合作的回报是未知的。这种差异表明，各国之间的合作远远少于真正的迭代囚徒困境中的合作，因此避免可能发生的气候灾难的可能性远远小于使用真正的迭代囚徒困境进行的博弈论分析所提出的可能性。&lt;br /&gt;
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Osang and Nandy (2003) provide a theoretical explanation with proofs for a regulation-driven win-win situation along the lines of [[Michael Porter]]'s hypothesis, in which government regulation of competing firms is substantial.&amp;lt;ref&amp;gt;{{cite thesis|type=paper|url= http://faculty.smu.edu/tosang/pdf/regln0803.pdf|first=Thomas|last=Osang|first2=Arundhati|last2=Nandyyz|date=August 2003|title=Environmental Regulation of Polluting Firms: Porter's Hypothesis Revisited}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Osang and Nandy (2003) provide a theoretical explanation with proofs for a regulation-driven win-win situation along the lines of Michael Porter's hypothesis, in which government regulation of competing firms is substantial.&lt;br /&gt;
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Osang 和 Nandy (2003)提供了一个理论解释，并根据 Michael Porter 的假设，即政府对竞争企业的监管是实质性的，提供了监管驱动的双赢局面的证据。&lt;br /&gt;
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===Animals===&lt;br /&gt;
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Cooperative behavior of many animals can be understood as an example of the prisoner's dilemma. Often animals engage in long term partnerships, which can be more specifically modeled as iterated prisoner's dilemma. For example, [[guppy|guppies]] inspect predators cooperatively in groups, and they are thought to punish non-cooperative inspectors.&lt;br /&gt;
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Cooperative behavior of many animals can be understood as an example of the prisoner's dilemma. Often animals engage in long term partnerships, which can be more specifically modeled as iterated prisoner's dilemma. For example, guppies inspect predators cooperatively in groups, and they are thought to punish non-cooperative inspectors.&lt;br /&gt;
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许多动物的合作行为可以被理解为囚徒困境的一个例子。通常动物会有长期的伙伴关系，这种关系可以更具体地模拟为重复的囚徒困境。例如，孔雀鱼成群结队地合作监察捕食者，它们被认为是在惩罚不合作的监察者。&lt;br /&gt;
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[[Vampire bats]] are social animals that engage in reciprocal food exchange. Applying the payoffs from the prisoner's dilemma can help explain this behavior:&amp;lt;ref&amp;gt;{{cite book|last=Dawkins|first=Richard|title=The Selfish Gene|year=1976|publisher=Oxford University Press}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Vampire bats are social animals that engage in reciprocal food exchange. Applying the payoffs from the prisoner's dilemma can help explain this behavior:&lt;br /&gt;
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吸血蝙蝠是群居动物，从事相互的食物交换。应用囚徒困境的收益可以帮助解释这种行为:&lt;br /&gt;
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* C/C: &amp;quot;Reward: I get blood on my unlucky nights, which saves me from starving. I have to give blood on my lucky nights, which doesn't cost me too much.&amp;quot;&lt;br /&gt;
合作/合作：回报：我在不幸运的晚上得到了能让我果腹的血，那在幸运的晚上我也应该分出点血，那不会花费多少。&lt;br /&gt;
* D/C: &amp;quot;Temptation: You save my life on my poor night. But then I get the added benefit of not having to pay the slight cost of feeding you on my good night.&amp;quot;&lt;br /&gt;
叛变/合作：诱惑：你在我的不幸的夜里救了我，但在我的幸运夜我不会给你血以让我活的更好。&lt;br /&gt;
* C/D: &amp;quot;Sucker's Payoff: I pay the cost of saving your life on my good night. But on my bad night you don't feed me and I run a real risk of starving to death.&amp;quot;&lt;br /&gt;
合作/叛变：可怜者的回报：在我的幸运夜我救了你的命，但在我的不幸夜里你没有救我，我有饿死的风险。&lt;br /&gt;
* D/D: &amp;quot;Punishment: I don't have to pay the slight costs of feeding you on my good nights. But I run a real risk of starving on my poor nights.&amp;quot;&lt;br /&gt;
叛变/叛变：惩罚：我在我的幸运夜里不必付出代价来救你，但我在我的不幸夜里有挨饿的风险。&lt;br /&gt;
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===Psychology===&lt;br /&gt;
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In [[addiction]] research / [[behavioral economics]], [[George Ainslie (psychologist)|George Ainslie]] points out&amp;lt;ref&amp;gt;{{cite book |first=George|last=Ainslie |title=Breakdown of Will |year=2001 |isbn=978-0-521-59694-7}}&amp;lt;/ref&amp;gt; that addiction can be cast as an intertemporal PD problem between the present and future selves of the addict.  In this case, ''defecting'' means ''relapsing'', and it is easy to see that not defecting both today and in the future is by far the best outcome. The case where one abstains today but relapses in the future is the worst outcome&amp;amp;nbsp;– in some sense the discipline and self-sacrifice involved in abstaining today have been &amp;quot;wasted&amp;quot; because the future relapse means that the addict is right back where he started and will have to start over (which is quite demoralizing, and makes starting over more difficult).  Relapsing today and tomorrow is a slightly &amp;quot;better&amp;quot; outcome, because while the addict is still addicted, they haven't put the effort in to trying to stop. The final case, where one engages in the addictive behavior today while abstaining &amp;quot;tomorrow&amp;quot; will be familiar to anyone who has struggled with an addiction.  The problem here is that (as in other PDs) there is an obvious benefit to defecting &amp;quot;today&amp;quot;, but tomorrow one will face the same PD, and the same obvious benefit will be present then, ultimately leading to an endless string of defections.&lt;br /&gt;
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In addiction research / behavioral economics, George Ainslie points out that addiction can be cast as an intertemporal PD problem between the present and future selves of the addict.  In this case, defecting means relapsing, and it is easy to see that not defecting both today and in the future is by far the best outcome. The case where one abstains today but relapses in the future is the worst outcome&amp;amp;nbsp;– in some sense the discipline and self-sacrifice involved in abstaining today have been &amp;quot;wasted&amp;quot; because the future relapse means that the addict is right back where he started and will have to start over (which is quite demoralizing, and makes starting over more difficult).  Relapsing today and tomorrow is a slightly &amp;quot;better&amp;quot; outcome, because while the addict is still addicted, they haven't put the effort in to trying to stop. The final case, where one engages in the addictive behavior today while abstaining &amp;quot;tomorrow&amp;quot; will be familiar to anyone who has struggled with an addiction.  The problem here is that (as in other PDs) there is an obvious benefit to defecting &amp;quot;today&amp;quot;, but tomorrow one will face the same PD, and the same obvious benefit will be present then, ultimately leading to an endless string of defections.&lt;br /&gt;
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在成瘾研究/行为经济学中，乔治·安斯利指出，成瘾可以被描述为成瘾者现在和未来自我之间的跨期囚徒困境问题。在这种情况下，叛变意味着反复，很容易看出，不在今天和未来叛变是迄今为止最好的结果。如果一个人今天戒了，但在将来又复吸，这是最糟糕的结果——从某种意义上来说，今天戒瘾所包含的纪律和自我牺牲已经被“浪费”了，因为未来的复吸意味着瘾君子又回到了他开始的地方，将不得不重新开始(这相当令人沮丧，也使得重新开始更加困难)。今天和明天复发是一个稍微“更好”的结果，因为当瘾君子仍然上瘾时，他们没有努力去尝试停止。最后一种情况，一个人在今天进行成瘾行为，而在明天弃权，这对于任何一个与成瘾作斗争的人来说都是熟悉的。这里的问题是(和其他囚徒困境一样) ，背叛“今天”有一个明显的好处，但明天这个个人将面临同样的囚徒困境，同样明显的好处将出现，最终导致一连串无休止的叛变。&lt;br /&gt;
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[[John Gottman]] in his research described in &amp;quot;the science of trust&amp;quot; defines good relationships as those where partners know not to enter the (D,D) cell or at least not to get dynamically stuck there in a loop.&lt;br /&gt;
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John Gottman in his research described in &amp;quot;the science of trust&amp;quot; defines good relationships as those where partners know not to enter the (D,D) cell or at least not to get dynamically stuck there in a loop.&lt;br /&gt;
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John Gottman 在他的研究《信任的科学》中将良好的关系定义为伴侣知道不要进入(叛变，叛变）牢房中或者至少不要陷入这样一个循环中。&lt;br /&gt;
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===Economics===&lt;br /&gt;
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The prisoner's dilemma has been called the ''[[Escherichia coli|E. coli]]'' of social psychology, and it has been used widely to research various topics such as [[Oligopoly|oligopolistic]] competition and collective action to produce a collective good.&amp;lt;ref&amp;gt;{{Cite journal|last=Axelrod|first=Robert|date=1980|title=Effective Choice in the Prisoner's Dilemma|journal=The Journal of Conflict Resolution|volume=24|issue=1|pages=3–25|issn=0022-0027|jstor=173932|doi=10.1177/002200278002400101|url=https://semanticscholar.org/paper/fd1ab82470446bfb12c39f0c577644291027cf76}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
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The prisoner's dilemma has been called the E. coli of social psychology, and it has been used widely to research various topics such as oligopolistic competition and collective action to produce a collective good. &lt;br /&gt;
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囚徒困境被称为社会心理学中的大肠杆菌，它被广泛用于研究寡头垄断竞争及其集体行动来产生集体利益等问题。&lt;br /&gt;
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Advertising is sometimes cited as a real-example of the prisoner's dilemma.  When [[cigarette advertising]] was legal in the United States, competing cigarette manufacturers had to decide how much money to spend on advertising.  The effectiveness of Firm A's advertising was partially determined by the advertising conducted by Firm B.  Likewise, the profit derived from advertising for Firm B is affected by the advertising conducted by Firm A.  If both Firm A and Firm B chose to advertise during a given period, then the advertisement from each firm negates the other's, receipts remain constant, and expenses increase due to the cost of advertising.  Both firms would benefit from a reduction in advertising.  However, should Firm B choose not to advertise, Firm A could benefit greatly by advertising. Nevertheless, the optimal amount of advertising by one firm depends on how much advertising the other undertakes. As the best strategy is dependent on what the other firm chooses there is no dominant strategy, which makes it slightly different from a prisoner's dilemma. The outcome is similar, though, in that both firms would be better off were they to advertise less than in the equilibrium. Sometimes cooperative behaviors do emerge in business situations.  For instance, cigarette manufacturers endorsed the making of laws banning cigarette advertising, understanding that this would reduce costs and increase profits across the industry.{{Citation needed|reason=This reference doesn't mention or support the claimed historical account.|date=December 2012}}{{efn|1=This argument for the development of cooperation through trust is given in ''[[The Wisdom of Crowds]]'', where it is argued that long-distance [[capitalism]] was able to form around a nucleus of [[Religious Society of Friends|Quakers]], who always dealt honourably with their business partners. (Rather than defecting and reneging on promises&amp;amp;nbsp;– a phenomenon that had discouraged earlier long-term unenforceable overseas contracts). It is argued that dealings with reliable merchants allowed the [[meme]] for cooperation to spread to other traders, who spread it further until a high degree of cooperation became a profitable strategy in general [[commerce]]}} This analysis is likely to be pertinent in many other business situations involving advertising.{{Citation needed|reason=This doesn't sound like cooperation|date=November 2012}}&lt;br /&gt;
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Advertising is sometimes cited as a real-example of the prisoner's dilemma.  When cigarette advertising was legal in the United States, competing cigarette manufacturers had to decide how much money to spend on advertising.  The effectiveness of Firm A's advertising was partially determined by the advertising conducted by Firm B.  Likewise, the profit derived from advertising for Firm B is affected by the advertising conducted by Firm A.  If both Firm A and Firm B chose to advertise during a given period, then the advertisement from each firm negates the other's, receipts remain constant, and expenses increase due to the cost of advertising.  Both firms would benefit from a reduction in advertising.  However, should Firm B choose not to advertise, Firm A could benefit greatly by advertising. Nevertheless, the optimal amount of advertising by one firm depends on how much advertising the other undertakes. As the best strategy is dependent on what the other firm chooses there is no dominant strategy, which makes it slightly different from a prisoner's dilemma. The outcome is similar, though, in that both firms would be better off were they to advertise less than in the equilibrium. Sometimes cooperative behaviors do emerge in business situations.  For instance, cigarette manufacturers endorsed the making of laws banning cigarette advertising, understanding that this would reduce costs and increase profits across the industry. This analysis is likely to be pertinent in many other business situations involving advertising.&lt;br /&gt;
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广告有时被引用为囚徒困境的一个真实例子。当香烟广告在美国是合法的时候，相互竞争的香烟制造商必须决定在广告上花多少钱。公司 a 的广告效果部分取决于公司 b 的广告效果。同样，公司 b 的广告带来的利润也受到公司 a 的广告影响。如果公司 a 和公司 b 都选择在给定的时间段内做广告，那么一家公司的广告就会抵消另一方的广告，倘若收入保持不变，费用就会因广告成本而增加。两家公司都将从广告减少中获益。然而，如果 b 公司选择不做广告，a 公司就可以通过广告获得巨大的利益。尽管如此，一家公司的最佳广告数量仍取决于另一家公司从事了多少广告。由于最佳策略取决于其他公司的选择，因此这里没有占主导地位的策略，这使得它与囚徒困境略有不同。但结果是相似的，如果两家公司的广告都少于均衡他们的处境会更好。有时合作行为确实会在商业环境中出现。例如，香烟制造商支持立法禁止香烟广告，理解这将降低成本和增加整个行业的利润。这种分析可能适用于许多其他涉及广告的商业情况。&lt;br /&gt;
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Without enforceable agreements, members of a [[cartel]] are also involved in a (multi-player) prisoner's dilemma.&amp;lt;ref&amp;gt;{{Cite book|last1=Nicholson|first=Walter|year=2000|title=Intermediate microeconomics and its application|edition=8th|location=Fort Worth, TX|publisher=Dryden Press : Harcourt College Publishers|isbn=978-0-030-25916-6}}&amp;lt;/ref&amp;gt; 'Cooperating' typically means keeping prices at a pre-agreed minimum level. 'Defecting' means selling under this minimum level, instantly taking business (and profits) from other cartel members. [[Anti-trust]] authorities want potential cartel members to mutually defect, ensuring the lowest possible prices for [[consumer]]s.&lt;br /&gt;
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Without enforceable agreements, members of a cartel are also involved in a (multi-player) prisoner's dilemma. 'Cooperating' typically means keeping prices at a pre-agreed minimum level. 'Defecting' means selling under this minimum level, instantly taking business (and profits) from other cartel members. Anti-trust authorities want potential cartel members to mutually defect, ensuring the lowest possible prices for consumers.&lt;br /&gt;
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没有可强制执行的协议，卡特尔的成员国也会陷入(多玩家)囚徒困境。“合作”通常意味着将价格保持在预先商定的最低水平。“叛变”意味着在这个最低价格水平下方销售，立即从其他卡特尔成员那里获得业务(和利润)。反垄断机构希望潜在的卡特尔成员相互叛变，确保消费者获得尽可能低的价格。&lt;br /&gt;
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===Sport===&lt;br /&gt;
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[[Doping in sport]] has been cited as an example of a prisoner's dilemma.&amp;lt;ref name=&amp;quot;wired&amp;quot;&amp;gt;{{cite journal|last=Schneier |first=Bruce |url=https://www.wired.com/opinion/2012/10/lance-armstrong-and-the-prisoners-dilemma-of-doping-in-professional-sports/ |title=Lance Armstrong and the Prisoners' Dilemma of Doping in Professional Sports &amp;amp;#124; Wired Opinion |journal=Wired |publisher=Wired.com |date=2012-10-26 |accessdate=2012-10-29}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Doping in sport has been cited as an example of a prisoner's dilemma.&lt;br /&gt;
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体育运动中的兴奋剂被认为是囚徒困境的一个例子。&lt;br /&gt;
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Two competing athletes have the option to use an illegal and/or dangerous drug to boost their performance. If neither athlete takes the drug, then neither gains an advantage. If only one does, then that athlete gains a significant advantage over their competitor, reduced by the legal and/or medical dangers of having taken the drug. If both athletes take the drug, however, the benefits cancel out and only the dangers remain, putting them both in a worse position than if neither had used doping.&amp;lt;ref name=&amp;quot;wired&amp;quot; /&amp;gt;&lt;br /&gt;
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Two competing athletes have the option to use an illegal and/or dangerous drug to boost their performance. If neither athlete takes the drug, then neither gains an advantage. If only one does, then that athlete gains a significant advantage over their competitor, reduced by the legal and/or medical dangers of having taken the drug. If both athletes take the drug, however, the benefits cancel out and only the dangers remain, putting them both in a worse position than if neither had used doping.&lt;br /&gt;
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两名参赛运动员可以选择使用非法或危险药物来提高成绩。如果两个运动员都没有服用这种药物，那么他们都不会获得优势。如果只有一个人这样做，那么这个运动员就比他们的竞争对手获得了明显的优势，减少了服用药物的法律或医疗危险。然而，如果两名运动员都服用了这种药物，那么好处就被抵消了，只剩下危险，这使得他们的处境比没有服用兴奋剂的情况更加糟糕。&lt;br /&gt;
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===International politics===&lt;br /&gt;
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In [[international politics|international political theory]], the Prisoner's Dilemma is often used to demonstrate the coherence of [[strategic realism]], which holds that in international relations, all states (regardless of their internal policies or professed ideology), will act in their rational self-interest given [[anarchy (international relations)|international anarchy]]. A classic example is an arms race like the [[Cold War]] and similar conflicts.&amp;lt;ref&amp;gt;{{cite journal| title = Arms races as iterated prisoner's dilemma games | author = Stephen J. Majeski | journal = Mathematical and Social Sciences | volume = 7 | issue = 3 | pages = 253–66 | year = 1984 | doi=10.1016/0165-4896(84)90022-2}}&amp;lt;/ref&amp;gt; During the Cold War the opposing alliances of [[NATO]] and the [[Warsaw Pact]] both had the choice to arm or disarm. From each side's point of view, disarming whilst their opponent continued to arm would have led to military inferiority and possible annihilation. Conversely, arming whilst their opponent disarmed would have led to superiority. If both sides chose to arm, neither could afford to attack the other, but both incurred the high cost of developing and maintaining a nuclear arsenal. If both sides chose to disarm, war would be avoided and there would be no costs.&lt;br /&gt;
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In international political theory, the Prisoner's Dilemma is often used to demonstrate the coherence of strategic realism, which holds that in international relations, all states (regardless of their internal policies or professed ideology), will act in their rational self-interest given international anarchy. A classic example is an arms race like the Cold War and similar conflicts. During the Cold War the opposing alliances of NATO and the Warsaw Pact both had the choice to arm or disarm. From each side's point of view, disarming whilst their opponent continued to arm would have led to military inferiority and possible annihilation. Conversely, arming whilst their opponent disarmed would have led to superiority. If both sides chose to arm, neither could afford to attack the other, but both incurred the high cost of developing and maintaining a nuclear arsenal. If both sides chose to disarm, war would be avoided and there would be no costs.&lt;br /&gt;
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在国际政治理论中，囚徒困境经常被用来证明战略现实主义的一致性，这种战略现实主义认为，在国际关系中，由于国际无政府状态，所有国家(无论其国内政策或公开宣称的意识形态如何)都会为了自身的理性利益来行动。一个典型的例子是类似冷战和类似冲突的军备竞赛。在冷战期间，北约和华约组织的对立联盟都可以选择武装或解除武装。从双方的观点来看，解除武装而对手继续武装将导致军事劣势和可能的被歼灭。相反，如果武装的时候对手已经解除了武装，那么就会获得优势。如果双方都选择武装自己，那么任何一方都承担不起攻击对方的代价，但是双方都为发展和维持核武库付出了高昂的代价。如果双方都选择裁军，战争就可以避免，也不会有任何代价。&lt;br /&gt;
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Although the 'best' overall outcome is for both sides to disarm, the rational course for both sides is to arm, and this is indeed what happened. Both sides poured enormous resources into military research and armament in a [[War of attrition (game)|war of attrition]] for the next thirty years until the Soviet Union could not withstand the economic cost.&amp;lt;ref&amp;gt;{{Citation|last=Kuhn|first=Steven|title=Prisoner's Dilemma|date=2019|url=https://plato.stanford.edu/archives/win2019/entries/prisoner-dilemma/|encyclopedia=The Stanford Encyclopedia of Philosophy|editor-last=Zalta|editor-first=Edward N.|edition=Winter 2019|publisher=Metaphysics Research Lab, Stanford University|access-date=2020-04-12}}&amp;lt;/ref&amp;gt; The same logic could be applied in any similar scenario, be it economic or technological competition between sovereign states.&lt;br /&gt;
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Although the 'best' overall outcome is for both sides to disarm, the rational course for both sides is to arm, and this is indeed what happened. Both sides poured enormous resources into military research and armament in a war of attrition for the next thirty years until the Soviet Union could not withstand the economic cost. The same logic could be applied in any similar scenario, be it economic or technological competition between sovereign states.&lt;br /&gt;
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虽然最好的结果是双方解除武装，但是双方的理性选择是武装起来，事实也的确如此。在接下来的三十年里，双方都在军事研究和武器装备的消耗战上上投入了大量的资源，直到苏联无法承受经济损失。同样的逻辑也适用于任何类似的情况，无论是主权国家之间的经济竞争还是技术竞争。&lt;br /&gt;
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===Multiplayer dilemmas===&lt;br /&gt;
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Many real-life dilemmas involve multiple players.&amp;lt;ref&amp;gt;Gokhale CS, Traulsen A. Evolutionary games in the multiverse. Proceedings of the National Academy of Sciences. 2010 Mar 23. 107(12):5500–04.&amp;lt;/ref&amp;gt; Although metaphorical, [[Garrett Hardin|Hardin's]] [[tragedy of the commons]] may be viewed as an example of a multi-player generalization of the PD: Each villager makes a choice for personal gain or restraint. The collective reward for unanimous (or even frequent) defection is very low payoffs (representing the destruction of the &amp;quot;commons&amp;quot;). A commons dilemma most people can relate to is washing the dishes in a shared house.  By not washing dishes an individual can gain by saving his time, but if that behavior is adopted by every resident the collective cost is no clean plates for anyone.&lt;br /&gt;
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Many real-life dilemmas involve multiple players. Although metaphorical, Hardin's tragedy of the commons may be viewed as an example of a multi-player generalization of the PD: Each villager makes a choice for personal gain or restraint. The collective reward for unanimous (or even frequent) defection is very low payoffs (representing the destruction of the &amp;quot;commons&amp;quot;). A commons dilemma most people can relate to is washing the dishes in a shared house.  By not washing dishes an individual can gain by saving his time, but if that behavior is adopted by every resident the collective cost is no clean plates for anyone.&lt;br /&gt;
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许多现实生活中的困境牵涉到多个参与者。虽然是比喻性的，哈丁的公地悲剧可以被看作是囚徒困境的多人泛化的一个例子: 每个村民做出选择是为了个人利益还是为了克制。对于一致(甚至频繁)叛变的集体回报是非常低的回报(代表了对“公共资源”的破坏)。一个大多数人都能理解的共同困境就是在一个共享的房子里洗碗。通过不洗碗，个人可以节省时间，但如果这种行为被每个居民采纳，集体成本是任何人都没有干净的盘子。&lt;br /&gt;
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The commons are not always exploited: [[William Poundstone]], in a book about the prisoner's dilemma (see References below), describes a situation in New Zealand where newspaper boxes are left unlocked. It is possible for people to [[Excludability|take a paper without paying]] (''defecting'') but very few do, feeling that if they do not pay then neither will others, destroying the system. Subsequent research by [[Elinor Ostrom]], winner of the 2009 [[Nobel Memorial Prize in Economic Sciences]], hypothesized that the tragedy of the commons is oversimplified, with the negative outcome influenced by outside influences. Without complicating pressures, groups communicate and manage the commons among themselves for their mutual benefit, enforcing social norms to preserve the resource and achieve the maximum good for the group, an example of effecting the best case outcome for PD.&amp;lt;ref&amp;gt;{{cite web|url=http://volokh.com/2009/10/12/elinor-ostrom-and-the-tragedy-of-the-commons/ |title=The Volokh Conspiracy &amp;quot; Elinor Ostrom and the Tragedy of the Commons |publisher=Volokh.com |date=2009-10-12 |accessdate=2011-12-17}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The commons are not always exploited: William Poundstone, in a book about the prisoner's dilemma (see References below), describes a situation in New Zealand where newspaper boxes are left unlocked. It is possible for people to take a paper without paying (defecting) but very few do, feeling that if they do not pay then neither will others, destroying the system. Subsequent research by Elinor Ostrom, winner of the 2009 Nobel Memorial Prize in Economic Sciences, hypothesized that the tragedy of the commons is oversimplified, with the negative outcome influenced by outside influences. Without complicating pressures, groups communicate and manage the commons among themselves for their mutual benefit, enforcing social norms to preserve the resource and achieve the maximum good for the group, an example of effecting the best case outcome for PD.&lt;br /&gt;
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公共资源并不总是被利用: 威廉·庞德斯通在一本关于囚徒困境的书(见下文参考文献)中描述了新西兰的一种情况，报纸盒子没有上锁。人们可以不付钱就拿报纸(叛变) ，但很少有人这样做，他们觉得如果他们不付钱，那么其他人也不会付钱，这会摧毁整个体系。2009年诺贝尔经济学奖获得者埃莉诺·奥斯特罗姆随后的研究认为公地悲剧经济学过于简单化，其负面结果受到外部影响。在没有复杂压力的情况下，团体之间为了共同利益进行沟通和管理，执行社会规范以保护资源并为团体实现最大利益，这是影响囚徒困境发展最佳结果的一个例子。&lt;br /&gt;
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==Related games==&lt;br /&gt;
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===Closed-bag exchange===&lt;br /&gt;
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[[File:Prisoner's Dilemma briefcase exchange (colorized).svg|thumb|The prisoner's dilemma as a briefcase exchange]]&lt;br /&gt;
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The prisoner's dilemma as a briefcase exchange&lt;br /&gt;
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囚徒困境是一个公文包的交换&lt;br /&gt;
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[[Douglas Hofstadter]]&amp;lt;ref name=&amp;quot;dh&amp;quot;&amp;gt;{{cite book | first=Douglas R. | last=Hofstadter| authorlink=Douglas Hofstadter | title= Metamagical Themas: questing for the essence of mind and pattern | publisher= Bantam Dell Pub Group| year=1985 | isbn=978-0-465-04566-2|chapter= Ch.29 ''The Prisoner's Dilemma Computer Tournaments and the Evolution of Cooperation''.| title-link=Metamagical Themas}}&amp;lt;/ref&amp;gt; once suggested that people often find problems such as the PD problem easier to understand when it is illustrated in the form of a simple game, or trade-off. One of several examples he used was &amp;quot;closed bag exchange&amp;quot;:&lt;br /&gt;
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Douglas Hofstadter once suggested that people often find problems such as the PD problem easier to understand when it is illustrated in the form of a simple game, or trade-off. One of several examples he used was &amp;quot;closed bag exchange&amp;quot;:&lt;br /&gt;
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侯世达曾经指出，人们通常会发现问题，比如囚徒困境问题，当它以一个简单博弈的形式表现出来时，或者以权衡的方式表现出来时，会更容易理解。他使用的几个例子之一是“封闭式袋子交换” :&lt;br /&gt;
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{{quote|Two people meet and exchange closed bags, with the understanding that one of them contains money, and the other contains a purchase. Either player can choose to honor the deal by putting into his or her bag what he or she agreed, or he or she can defect by handing over an empty bag.}}&lt;br /&gt;
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Defection always gives a game-theoretically preferable outcome.&amp;lt;ref&amp;gt;{{Cite web|url=https://users.auth.gr/kehagiat/Research/GameTheory/06GamesToPlay/Prisoner%27s_dilemma.htm#Closed_Bag_Exchange|title=Prisoner's dilemma - Wikipedia, the free encyclopedia|website=users.auth.gr|access-date=2020-04-12}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Defection always gives a game-theoretically preferable outcome.&lt;br /&gt;
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叛变总是会带来一个理论上更可取的结果。&lt;br /&gt;
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===''Friend or Foe?''===&lt;br /&gt;
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''[[Friend or Foe? (TV series)|Friend or Foe?]]'' is a game show that aired from 2002 to 2005 on the [[Game Show Network]] in the US.  It is an example of the prisoner's dilemma game tested on real people, but in an artificial setting. On the game show, three pairs of people compete. When a pair is eliminated, they play a game similar to the prisoner's dilemma to determine how the winnings are split. If they both cooperate (Friend), they share the winnings 50–50. If one cooperates and the other defects (Foe), the defector gets all the winnings and the cooperator gets nothing. If both defect, both leave with nothing. Notice that the reward matrix is slightly different from the standard one given above, as the rewards for the &amp;quot;both defect&amp;quot; and the &amp;quot;cooperate while the opponent defects&amp;quot; cases are identical. This makes the &amp;quot;both defect&amp;quot; case a weak equilibrium, compared with being a strict equilibrium in the standard prisoner's dilemma. If a contestant knows that their opponent is going to vote &amp;quot;Foe&amp;quot;, then their own choice does not affect their own winnings. In a specific sense, ''Friend or Foe'' has a rewards model between prisoner's dilemma and the [[Chicken (game)|game of Chicken]].&lt;br /&gt;
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Friend or Foe? is a game show that aired from 2002 to 2005 on the Game Show Network in the US.  It is an example of the prisoner's dilemma game tested on real people, but in an artificial setting. On the game show, three pairs of people compete. When a pair is eliminated, they play a game similar to the prisoner's dilemma to determine how the winnings are split. If they both cooperate (Friend), they share the winnings 50–50. If one cooperates and the other defects (Foe), the defector gets all the winnings and the cooperator gets nothing. If both defect, both leave with nothing. Notice that the reward matrix is slightly different from the standard one given above, as the rewards for the &amp;quot;both defect&amp;quot; and the &amp;quot;cooperate while the opponent defects&amp;quot; cases are identical. This makes the &amp;quot;both defect&amp;quot; case a weak equilibrium, compared with being a strict equilibrium in the standard prisoner's dilemma. If a contestant knows that their opponent is going to vote &amp;quot;Foe&amp;quot;, then their own choice does not affect their own winnings. In a specific sense, Friend or Foe has a rewards model between prisoner's dilemma and the game of Chicken.&lt;br /&gt;
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朋友还是敌人？是一个竞赛节目，从2002年至2005年在美国的竞赛节目网络播出。这是囚徒困境博弈在真人身上测试的一个例子，但是是在人为的环境中。在游戏节目中，有三对选手参加比赛。当一对被淘汰时，他们会玩一个类似囚徒困境的游戏来决定奖金如何分配。如果他们都合作(朋友) ，他们分享奖金50-50。如果一方合作而另一方叛变(敌人) ，那么叛变者将得到所有的奖金，而合作者将一无所获。如果双方都叛变，那么双方都将一无所有。请注意，奖励矩阵与上面给出的标准矩阵略有不同，因为“双方都叛变”和“合作而对方叛变”情况下的奖励是相同的。与标准囚徒困境中的严格均衡相比，这使得“两个都叛变”情况成为一个弱均衡。如果一个参赛者知道他们的对手将投票给“敌人” ，那么他们自己的选择不会影响他们自己的奖金。从特定意义上讲，“朋友还是敌人”节目在囚徒困境和“胆小鬼”博弈之间有一个奖励模型。&lt;br /&gt;
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The rewards matrix is&lt;br /&gt;
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{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
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! {{diagonal split header|{{color|#009|Pair 1}}|{{color|#900|Pair 2}}}}&lt;br /&gt;
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! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:6em;&amp;quot; | {{color|#900|&amp;quot;Friend&amp;quot;&amp;lt;br /&amp;gt;(cooperate)}}&lt;br /&gt;
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! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:6em;&amp;quot; | &lt;br /&gt;
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! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:6em;&amp;quot; | {{color|#900|&amp;quot;Foe&amp;quot;&amp;lt;br /&amp;gt;(defect)}}&lt;br /&gt;
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! scope=&amp;quot;col&amp;quot; style=&amp;quot;width:6em;&amp;quot; | &lt;br /&gt;
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! scope=&amp;quot;row&amp;quot; style=&amp;quot;width:6em;&amp;quot; | {{color|#009|&amp;quot;Friend&amp;quot;&amp;lt;br /&amp;gt;(cooperate)}}&lt;br /&gt;
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! scope=&amp;quot;row&amp;quot; style=&amp;quot;width:6em;&amp;quot; | &lt;br /&gt;
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! scope=&amp;quot;row&amp;quot; | {{color|#009|&amp;quot;Foe&amp;quot;&amp;lt;br /&amp;gt;(defect)}}&lt;br /&gt;
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This payoff matrix has also been used on the [[United Kingdom|British]] [[television]] programmes ''Trust Me'', ''[[Shafted]]'', ''[[The Bank Job (TV series)|The Bank Job]]'' and ''[[Golden Balls]]'', and on the [[United States|American]] shows ''[[Bachelor Pad]]'' and ''[[Take It All (game show)|Take It All]]''. Game data from the ''[[Golden Balls]]'' series has been analyzed by a team of economists, who found that cooperation was &amp;quot;surprisingly high&amp;quot; for amounts of money that would seem consequential in the real world, but were comparatively low in the context of the game.&amp;lt;ref&amp;gt;{{cite journal | ssrn=1592456 | title=Split or Steal? Cooperative Behavior When the Stakes Are Large | author=Van den Assem, Martijn J. | journal=Management Science |date=January 2012 | volume=58 | issue=1 | pages=2–20 | doi=10.1287/mnsc.1110.1413| url=http://faculty.chicagobooth.edu/richard.thaler/research/pdf/Split%20or%20Steal%20Cooperative%20Behavior%20When%20the%20Stakes%20Are%20Large.pdf }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This payoff matrix has also been used on the British television programmes Trust Me, Shafted, The Bank Job and Golden Balls, and on the American shows Bachelor Pad and Take It All. Game data from the Golden Balls series has been analyzed by a team of economists, who found that cooperation was &amp;quot;surprisingly high&amp;quot; for amounts of money that would seem consequential in the real world, but were comparatively low in the context of the game.&lt;br /&gt;
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英国电视节目《相信我》、《阴影》、《银行工作》和《黄金球》以及美国电视节目《单身公寓》和《全部拿走》也采用了这种奖励矩阵。一个经济学家团队分析了金球系列的游戏数据，他们发现，对于看似重要的金钱数量，现实生活中合作程度“惊人地高” ，但在游戏的背景下，合作程度相对较低。&lt;br /&gt;
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===Iterated snowdrift===&lt;br /&gt;
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{{main|snowdrift game}}&lt;br /&gt;
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Researchers from the [[University of Lausanne]] and the [[University of Edinburgh]] have suggested that the &amp;quot;Iterated Snowdrift Game&amp;quot; may more closely reflect real-world social situations. Although this model is actually a [[chicken game]], it will be described here. In this model, the risk of being exploited through defection is lower, and individuals always gain from taking the cooperative choice. The snowdrift game imagines two drivers who are stuck on opposite sides of a [[snowdrift]], each of whom is given the option of shoveling snow to clear a path, or remaining in their car. A player's highest payoff comes from leaving the opponent to clear all the snow by themselves, but the opponent is still nominally rewarded for their work.&lt;br /&gt;
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Researchers from the University of Lausanne and the University of Edinburgh have suggested that the &amp;quot;Iterated Snowdrift Game&amp;quot; may more closely reflect real-world social situations. Although this model is actually a chicken game, it will be described here. In this model, the risk of being exploited through defection is lower, and individuals always gain from taking the cooperative choice. The snowdrift game imagines two drivers who are stuck on opposite sides of a snowdrift, each of whom is given the option of shoveling snow to clear a path, or remaining in their car. A player's highest payoff comes from leaving the opponent to clear all the snow by themselves, but the opponent is still nominally rewarded for their work.&lt;br /&gt;
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来自洛桑大学和爱丁堡大学的研究人员认为，“迭代雪堆游戏”可能更能反映现实世界的社会状况。虽然这个模型实际上是一个胆小鬼博弈，它将在这里描述。在这个模型中，由于背叛而被剥削的风险较低，个体总是从合作选择中获益。这个雪堆游戏设想两个司机被困在雪堆的两侧，每个司机都可以选择铲雪清理道路，或者留在自己的车里。一个玩家的最高回报来自于让对手自己清除所有的积雪，但是对手名义上仍然因为他们自己的工作而得到回报。&lt;br /&gt;
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This may better reflect real world scenarios, the researchers giving the example of two scientists collaborating on a report, both of whom would benefit if the other worked harder. &amp;quot;But when your collaborator doesn’t do any work, it’s probably better for you to do all the work yourself. You’ll still end up with a completed project.&amp;quot;&amp;lt;ref&amp;gt;{{cite web|last=Kümmerli|first=Rolf|title='Snowdrift' game tops 'Prisoner's Dilemma' in explaining cooperation|url=http://phys.org/news111145481.html|accessdate=11 April 2012}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This may better reflect real world scenarios, the researchers giving the example of two scientists collaborating on a report, both of whom would benefit if the other worked harder. &amp;quot;But when your collaborator doesn’t do any work, it’s probably better for you to do all the work yourself. You’ll still end up with a completed project.&amp;quot;&lt;br /&gt;
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这可能更好地反映了现实世界的情景---- 研究人员举了两位科学家合作完成一份报告的例子，如果另一位科学家更加努力地工作，这两位科学家都会受益。“但当你的合作者不做任何工作时，你自己做所有的工作可能会更好。你最终还是会完成一个项目。”&lt;br /&gt;
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{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;text-align: center;&amp;quot;&lt;br /&gt;
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{ | 类“ wikitable”样式“ text-align: center; ”&lt;br /&gt;
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|+ Example snowdrift payouts (A, B)&lt;br /&gt;
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| + 例子雪堆补偿(a，b)&lt;br /&gt;
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! {{diagonal split header|&amp;amp;nbsp;A|B&amp;amp;nbsp;}} !! Cooperates !! Defects&lt;br /&gt;
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!  !! Cooperates !! Defects&lt;br /&gt;
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!!!合作！叛变&lt;br /&gt;
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! Cooperates&lt;br /&gt;
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!合作&lt;br /&gt;
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!缺陷&lt;br /&gt;
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{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;text-align: center;margin-left:2em;&amp;quot;&lt;br /&gt;
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{ | class“ wikitable”样式“ text-align: center; margin-left: 2em; ”&lt;br /&gt;
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|+ Example PD payouts (A, B)&lt;br /&gt;
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| + PD 支出示例(a，b)&lt;br /&gt;
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! {{diagonal split header|&amp;amp;nbsp;A|B&amp;amp;nbsp;}} !! Cooperates !! Defects&lt;br /&gt;
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!  !! Cooperates !! Defects&lt;br /&gt;
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!!!合作！叛变&lt;br /&gt;
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!合作&lt;br /&gt;
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| 200, 200 || -100, 300&lt;br /&gt;
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!叛变&lt;br /&gt;
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===Coordination games===&lt;br /&gt;
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{{main|coordination games}}&lt;br /&gt;
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In coordination games, players must coordinate their strategies for a good outcome. An example is two cars that abruptly meet in a blizzard; each must choose whether to swerve left or right. If both swerve left, or both right, the cars do not collide. The local [[left- and right-hand traffic]] convention helps to co-ordinate their actions.&lt;br /&gt;
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In coordination games, players must coordinate their strategies for a good outcome. An example is two cars that abruptly meet in a blizzard; each must choose whether to swerve left or right. If both swerve left, or both right, the cars do not collide. The local left- and right-hand traffic convention helps to co-ordinate their actions.&lt;br /&gt;
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在协调博弈中，参与者必须协调他们的策略以获得一个好的结果。一个例子是两辆车在暴风雪中突然相遇，每辆车必须选择是左转还是右转。如果两辆车都向左转弯，或者都向右转弯，那么两辆车就不会相撞。当地的左右向交通惯例有助于协调他们的行动。&lt;br /&gt;
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Symmetrical co-ordination games include [[Stag hunt]] and [[Bach or Stravinsky]].&lt;br /&gt;
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Symmetrical co-ordination games include Stag hunt and Bach or Stravinsky.&lt;br /&gt;
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对称的协调游戏包括猎鹿和巴赫或斯特拉文斯基。&lt;br /&gt;
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===Asymmetric prisoner's dilemmas===&lt;br /&gt;
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A more general set of games are asymmetric. As in the prisoner's dilemma, the best outcome is co-operation, and there are motives for defection. Unlike the symmetric prisoner's dilemma, though, one player has more to lose and/or more to gain than the other. Some such games have been described as a prisoner's dilemma in which one prisoner has an [[alibi]], whence the term &amp;quot;alibi game&amp;quot;.&amp;lt;ref&amp;gt;{{cite conference|last1=Robinson |first1=D.R. |last2=Goforth |first2=D.J. |title=Alibi games: the Asymmetric Prisoner' s Dilemmas |date=May 5, 2004 |url=https://economics.ca/2004/papers/0359.pdf |conference=Meetings of the Canadian Economics Association, Toronto, June 4-6, 2004}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A more general set of games are asymmetric. As in the prisoner's dilemma, the best outcome is co-operation, and there are motives for defection. Unlike the symmetric prisoner's dilemma, though, one player has more to lose and/or more to gain than the other. Some such games have been described as a prisoner's dilemma in which one prisoner has an alibi, whence the term &amp;quot;alibi game&amp;quot;.&lt;br /&gt;
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一个更一般的博弈集是不对称的。就像在囚徒困境中一样，最好的结果是合作，而叛变是有动机的。不像对称的囚徒困境，一方比另一方有更多的损失或获得。有些这样的博弈被描述为囚徒困境，其中一个囚徒有不在场证明，这就是术语“不在场证明游戏”的由来。&lt;br /&gt;
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In experiments, players getting unequal payoffs in repeated games may seek to maximize profits, but only under the condition that both players receive equal payoffs; this may lead to a stable equilibrium strategy in which the disadvantaged player defects every X games, while the other always co-operates. Such behaviour may depend on the experiment's social norms around fairness.&amp;lt;ref&amp;gt;{{cite chapter|last1=Beckenkamp |first1=Martin |last2=Hennig-Schmidt |first2=Heike |last3=Maier-Rigaud |first3=Frank P. |chapter=Cooperation in Symmetric and Asymmetric Prisoner's Dilemma Games |date=March 4, 2007 |chapter-url=http://homepage.coll.mpg.de/pdf_dat/2006_25online.pdf |title=[[Max Planck Institute for Research on Collective Goods]]}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In experiments, players getting unequal payoffs in repeated games may seek to maximize profits, but only under the condition that both players receive equal payoffs; this may lead to a stable equilibrium strategy in which the disadvantaged player defects every X games, while the other always co-operates. Such behaviour may depend on the experiment's social norms around fairness.&lt;br /&gt;
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在实验中，重复博弈中获得不平等收益的参与者可能会寻求利润最大化，但是只有在两个参与者获得相同收益的条件下，这可能导致一个稳定的均衡策略，即弱势参与者在每个 x 博弈中都会叛变，而另一个参与者总是合作。这种行为可能取决于实验围绕公平的社会规范。&lt;br /&gt;
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==Software==&lt;br /&gt;
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Several software packages have been created to run prisoner's dilemma simulations and tournaments, some of which have available source code.&lt;br /&gt;
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Several software packages have been created to run prisoner's dilemma simulations and tournaments, some of which have available source code.&lt;br /&gt;
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一些软件包已经被创建来运行囚徒困境模拟和比赛，其中一些有可用的源代码。&lt;br /&gt;
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* The source code for the [[The Evolution of Cooperation|second tournament]] run by Robert Axelrod (written by Axelrod and many contributors in [[Fortran]]) is available [http://www-personal.umich.edu/~axe/research/Software/CC/CC2.html online]&lt;br /&gt;
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* [https://web.archive.org/web/19991010053242/http://www.lifl.fr/IPD/ipd.frame.html Prison], a library written in [[Java (programming language)|Java]], last updated in 1998&lt;br /&gt;
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* [https://github.com/Axelrod-Python/Axelrod Axelrod-Python], written in [[Python (programming language)|Python]]&lt;br /&gt;
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* [http://selborne.nl/ipd/ play the Iterative Prisoner's Dilemma in the browser], play against strategies or let strategies play against other strategies&lt;br /&gt;
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==In fiction==&lt;br /&gt;
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[[Hannu Rajaniemi]] set the opening scene of his ''[[The Quantum Thief]]'' trilogy in a &amp;quot;dilemma prison&amp;quot;. The main theme of the series has been described as the &amp;quot;inadequacy of a binary universe&amp;quot; and the ultimate antagonist is a character called the All-Defector.  Rajaniemi is particularly interesting as an artist treating this subject in that he is a Cambridge-trained mathematician and holds a PhD in [[mathematical physics]]&amp;amp;nbsp;– the interchangeability of matter and information is a major feature of the books, which take place in a &amp;quot;post-singularity&amp;quot; future.  The first book in the series was published in 2010, with the two sequels, ''[[The Fractal Prince]]'' and ''[[The Causal Angel]]'', published in 2012 and 2014, respectively.&lt;br /&gt;
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Hannu Rajaniemi set the opening scene of his The Quantum Thief trilogy in a &amp;quot;dilemma prison&amp;quot;. The main theme of the series has been described as the &amp;quot;inadequacy of a binary universe&amp;quot; and the ultimate antagonist is a character called the All-Defector.  Rajaniemi is particularly interesting as an artist treating this subject in that he is a Cambridge-trained mathematician and holds a PhD in mathematical physics&amp;amp;nbsp;– the interchangeability of matter and information is a major feature of the books, which take place in a &amp;quot;post-singularity&amp;quot; future.  The first book in the series was published in 2010, with the two sequels, The Fractal Prince and The Causal Angel, published in 2012 and 2014, respectively.&lt;br /&gt;
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汉努 · 拉贾尼埃米将他的《量子窃贼》三部曲的开场场景设置在一个“进退两难的监狱”中。该系列的主题被描述为“双重宇宙的不足” ，最终的对手是一个叫做全面叛变者的角色。拉贾尼埃米作为一个处理这个问题的艺术家尤其有趣，因为他是剑桥大学培养的数学家，拥有数学物理学博士学位——物质和信息的可互换性是这本书的一个主要特征，它发生在“后奇点”的未来。该系列的第一本书于2010年出版，其续集《分形王子》和《因果天使》分别于2012年和2014年出版。&lt;br /&gt;
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A game modeled after the (iterated) prisoner's dilemma is a central focus of the 2012 video game ''[[Zero Escape: Virtue's Last Reward]]'' and a minor part in its 2016 sequel ''[[Zero Escape: Zero Time Dilemma]]''.&lt;br /&gt;
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A game modeled after the (iterated) prisoner's dilemma is a central focus of the 2012 video game Zero Escape: Virtue's Last Reward and a minor part in its 2016 sequel Zero Escape: Zero Time Dilemma.&lt;br /&gt;
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一个模仿迭代囚徒困境的游戏《零度逃脱: 美德的最后奖励》是2012年电子游戏的中心焦点，也是2016年续集《零度逃脱: 极限脱出刻之困境》的一个次要部分。&lt;br /&gt;
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In ''The Mysterious Benedict Society and the Prisoner's Dilemma'' by [[Trenton Lee Stewart]], the main characters start by playing a version of the game and escaping from the &amp;quot;prison&amp;quot; altogether. Later they become actual prisoners and escape once again.&lt;br /&gt;
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In The Mysterious Benedict Society and the Prisoner's Dilemma by Trenton Lee Stewart, the main characters start by playing a version of the game and escaping from the &amp;quot;prison&amp;quot; altogether. Later they become actual prisoners and escape once again.&lt;br /&gt;
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在特伦顿· 李 ·斯图尔特的《神秘的本尼迪克特社会和囚徒困境》中，主要角色从玩一个版本的游戏开始，然后一起逃离“监狱”。后来他们变成了真正的囚犯，再次越狱。&lt;br /&gt;
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In ''[[The Adventure Zone]]: Balance'' during ''The Suffering Game'' subarc, the player characters are twice presented with the prisoner's dilemma during their time in two liches' domain, once cooperating and once defecting.&lt;br /&gt;
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In The Adventure Zone: Balance during The Suffering Game subarc, the player characters are twice presented with the prisoner's dilemma during their time in two liches' domain, once cooperating and once defecting.&lt;br /&gt;
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在冒险区: 苦难游戏的平衡中，玩家角色在他们在两个领域的时间内两次被呈现囚徒困境，一次是合作，一次是叛变。&lt;br /&gt;
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In the 8th novel from the author James S. A. Corey [[Tiamat's Wrath]] . Winston Duarte explains the prisoners dilemma in his 14-year-old daughter, Teresa, to train her in strategic thinking. {{cn|date=April 2020}}&lt;br /&gt;
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In the 8th novel from the author James S. A. Corey Tiamat's Wrath . Winston Duarte explains the prisoners dilemma in his 14-year-old daughter, Teresa, to train her in strategic thinking. &lt;br /&gt;
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在作者詹姆斯·S·A·科里·提亚玛特的《愤怒》的第八部小说中。温斯顿•杜阿尔特向他14岁的女儿特蕾莎解释了面临的囚徒困境，以训练她的战略思维。&lt;br /&gt;
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==See also==&lt;br /&gt;
请参阅&lt;br /&gt;
{{div col|colwidth=18em}}&lt;br /&gt;
&lt;br /&gt;
* [[Abilene paradox]]&lt;br /&gt;
* [[阿背伦悖论]]&lt;br /&gt;
* [[Centipede game]]&lt;br /&gt;
* [[蜈蚣博弈]]&lt;br /&gt;
* [[Christmas truce]]&lt;br /&gt;
* [[圣诞休战]]&lt;br /&gt;
* [[Folk theorem (game theory)]]&lt;br /&gt;
* [[无名氏定理（博弈论）]]&lt;br /&gt;
* [[Free-rider problem]]&lt;br /&gt;
* [[搭便车问题]]&lt;br /&gt;
* [[Hobbesian trap]]&lt;br /&gt;
* [[霍布斯主义陷阱]]&lt;br /&gt;
* [[Innocent prisoner's dilemma]]&lt;br /&gt;
* [[无辜囚徒困局]]&lt;br /&gt;
* [[Liar Game]]&lt;br /&gt;
* [[说谎者博弈]]&lt;br /&gt;
* [[Optional prisoner's dilemma]]&lt;br /&gt;
* [[可选择囚徒困境]]&lt;br /&gt;
* [[Robert H. Frank#Prisoner's dilemma and cooperation|Prisoner's dilemma and cooperation]]&lt;br /&gt;
* [[罗伯特·H·弗兰克囚徒的困境和合作]]&lt;br /&gt;
* [[Public goods game]]&lt;br /&gt;
* [[公共商品博弈]]&lt;br /&gt;
* [[Gift-exchange game]]&lt;br /&gt;
* [[互利博弈]]&lt;br /&gt;
* [[Reciprocal altruism]]&lt;br /&gt;
* [[相互利他行为]]&lt;br /&gt;
* [[Social preferences]]&lt;br /&gt;
* [[社会偏好]]&lt;br /&gt;
* [[Swift trust theory]]&lt;br /&gt;
* [[快速信任理论]]&lt;br /&gt;
* [[Unscrupulous diner's dilemma]]&lt;br /&gt;
* [[无道德食客困境]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
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==References==&lt;br /&gt;
==参考==&lt;br /&gt;
{{notelist}}&lt;br /&gt;
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==Further reading==&lt;br /&gt;
==拓展阅读==&lt;br /&gt;
{{refbegin|30em}}&lt;br /&gt;
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* [[S.M. Amadae|Amadae, S.]] (2016). 'Prisoner's Dilemma,' ''Prisoners of Reason.''  [[Cambridge University Press]], NY, pp.&amp;amp;nbsp;24–61.&lt;br /&gt;
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* {{cite book |first1=Robert |last1=Aumann |authorlink=Robert Aumann |chapter=Acceptable points in general cooperative ''n''-person games |editor1-first=R. D. |editor1-last=Luce |editor2-first=A. W. |editor2-last=Tucker |title=Contributions to the Theory 23 of Games IV |series=Annals of Mathematics Study |volume=40 |pages=287–324 |publisher=Princeton University Press |location=Princeton NJ |year=1959 |mr=0104521}}&lt;br /&gt;
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* [[Robert Axelrod|Axelrod, R.]] (1984). ''[[The Evolution of Cooperation]]''. {{isbn|0-465-02121-2}}&lt;br /&gt;
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* [[Cristina Bicchieri|Bicchieri, Cristina]] (1993). Rationality and Coordination. [[Cambridge University Press]].&lt;br /&gt;
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* {{cite journal |first1=David M. |last1=Chess |date=December 1988 |title=Simulating the evolution of behavior: the iterated prisoners' dilemma problem |url=http://www.complex-systems.com/pdf/02-6-4.pdf |journal=Complex Systems |volume=2 |issue=6 |pages=663–70}}&lt;br /&gt;
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* [[Melvin Dresher|Dresher, M.]] (1961). ''The Mathematics of Games of Strategy: Theory and Applications''  [[Prentice-Hall]], Englewood Cliffs, NJ.&lt;br /&gt;
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* Greif, A. (2006). ''Institutions and the Path to the Modern Economy: Lessons from Medieval Trade.'' Cambridge University Press, [[Cambridge]], UK.&lt;br /&gt;
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* [[Anatol Rapoport|Rapoport, Anatol]] and Albert M. Chammah (1965). ''Prisoner's Dilemma''. [[University of Michigan Press]].&lt;br /&gt;
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{{refend}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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*{{Commonscat-inline}}&lt;br /&gt;
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* [http://plato.stanford.edu/entries/prisoner-dilemma/ Prisoner's Dilemma (''Stanford Encyclopedia of Philosophy'')]&lt;br /&gt;
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* [http://www.msri.org/ext/larryg/pages/15.htm The Bowerbird's Dilemma] The Prisoner's Dilemma in ornithology&amp;amp;nbsp;– mathematical cartoon by Larry Gonick.&lt;br /&gt;
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* [https://www.youtube.com/watch?v=_1SEXTVsxjk The Prisoner's Dilemma] The Prisoner's Dilemma with Lego minifigures.&lt;br /&gt;
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* {{cite encyclopedia |last1=Dixit |first1=Avinash |authorlink1=Avinash Dixit  |last2= Nalebuff |first2=Barry |authorlink2=Barry Nalebuff  |editor=[[David R. Henderson]]|encyclopedia=[[Concise Encyclopedia of Economics]] |title=Prisoner's Dilemma |url=http://www.econlib.org/library/Enc/PrisonersDilemma.html |year=2008 |edition= 2nd |publisher=[[Library of Economics and Liberty]] |location=Indianapolis |isbn=978-0865976658 |oclc=237794267}}&lt;br /&gt;
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* [http://gametheory101.com/The_Prisoner_s_Dilemma.html Game Theory 101: Prisoner's Dilemma]&lt;br /&gt;
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* [https://www.youtube.com/watch?v=I71mjZefg8g Dawkins: Nice Guys Finish First]&lt;br /&gt;
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* [https://axelrod.readthedocs.io/en/stable/ Axelrod] Iterated Prisoner's Dilemma [[Python (programming language)|Python]] library&lt;br /&gt;
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* [http://gametheorygames.nl/index.html Play the Iterated Prisoner's Dilemma on gametheorygames.nl]&lt;br /&gt;
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* [https://web.archive.org/web/20141011014608/http://demo.otree.org/demo/Prisoner%27s+Dilemma/ Play Prisoner's Dilemma on ''oTree''] (N/A 11-5-17)&lt;br /&gt;
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* Nicky Case's [https://web.archive.org/web/20181229222135/https://ncase.me/trust/ Evolution of Trust], an example of the donation game&lt;br /&gt;
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* [http://iterated-prisoners-dilemma.info Iterated Prisoner's Dilemma online game] by Wayne Davis&lt;br /&gt;
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{{Decision theory paradoxes}}&lt;br /&gt;
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{{Game theory}}&lt;br /&gt;
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{{Authority control}}&lt;br /&gt;
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&lt;br /&gt;
[[Category:Non-cooperative games]]&lt;br /&gt;
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Category:Non-cooperative games&lt;br /&gt;
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类别: 非合作性游戏&lt;br /&gt;
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[[Category:Thought experiments]]&lt;br /&gt;
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Category:Thought experiments&lt;br /&gt;
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类别: 思维实验&lt;br /&gt;
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[[Category:Dilemmas]]&lt;br /&gt;
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Category:Dilemmas&lt;br /&gt;
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类别: 困境&lt;br /&gt;
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[[Category:Environmental studies]]&lt;br /&gt;
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Category:Environmental studies&lt;br /&gt;
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类别: 环境研究&lt;br /&gt;
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[[Category:Social psychology]]&lt;br /&gt;
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Category:Social psychology&lt;br /&gt;
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类别: 社会心理学&lt;br /&gt;
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[[Category:Moral psychology]]&lt;br /&gt;
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Category:Moral psychology&lt;br /&gt;
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范畴: 道德心理学&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Prisoner's dilemma]]. Its edit history can be viewed at [[囚徒困境/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E8%87%AA%E7%94%B1%E6%84%8F%E5%BF%97%E5%AE%9A%E7%90%86_Free_Will_Theorem&amp;diff=14485</id>
		<title>自由意志定理 Free Will Theorem</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E8%87%AA%E7%94%B1%E6%84%8F%E5%BF%97%E5%AE%9A%E7%90%86_Free_Will_Theorem&amp;diff=14485"/>
		<updated>2020-09-27T04:00:44Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 公理背景——量子力学中的自由意志定理 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{#seo:&lt;br /&gt;
* |keywords=自由意志定理,the free will theorem,John Horton Conway,自由意志&lt;br /&gt;
* |description=自由意志定理,the free will theorem,John Horton Conway,自由意志&lt;br /&gt;
* }}&lt;br /&gt;
[[File:freewill.jpeg|200px|缩略图|自由意志是不受阻碍地在不同可能的行动路线之间进行选择的能力|right]]&lt;br /&gt;
'''自由意志定理 Free Will Theorem'''的形式描述为：在某些条件下，如果实验者可以自由决定在特定实验中测量什么量，那么基本粒子必须能够自由选择其自旋，以使测量结果与物理定律一致。该定理由[[约翰·何顿·康威 John Horton Conway]]和Simon B. Kochen提出，他们指出：如果我们拥有自由意志（即我们的选择与过去时间无关），那么在一定的假设前提下，一些基本粒子必须表现出类似的行为。 Conway和Kochen的论文发表在2006年的《物理学基础 Foundations of Physics》上。&amp;lt;ref&amp;gt;{{cite journal | last = Conway | first = John |author2=Simon Kochen | year = 2006 | title = The Free Will Theorem | journal = Foundations of Physics | volume = 36 | issue = 10 | pages = 1441 | doi = 10.1007/s10701-006-9068-6 |arxiv = quant-ph/0604079 |bibcode = 2006FoPh...36.1441C }}&amp;lt;/ref&amp;gt;  2009年，Conway在AMS中发布了该定理的一个加强版本。&amp;lt;ref name=Later&amp;gt;{{cite journal |author1=Conway, John H. |author2=Simon Kochen |title=The strong free will theorem |journal= Notices of the AMS |volume=56 |issue=2 |year=2009 |pages=226–232 |url=http://www.ams.org/notices/200902/rtx090200226p.pdf?q=will&amp;amp;sa=U&amp;amp;ei=k71jU8X7DoypyASw9YGoCA&amp;amp;ved=0CCAQFjAB&amp;amp;usg=AFQjCNE7L-k87yWE32ru0rDjkLOdg12LRQ}}&amp;lt;/ref&amp;gt;后来，在2017年，Kochen对其中一些细节进行更进一步的阐释论证。&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Kochen S., (2017), [https://arxiv.org/abs/1710.00868 ''Born's Rule, EPR, and the Free Will Theorem''] [[arxiv]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==公理背景——量子力学中的自由意志定理==&lt;br /&gt;
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量子力学自建立后近一个世纪以来，已在科学技术的各个领域取得了巨大的成功。而与此同时，量子力学也是一个充满争议的理论。自爱因斯坦提出量子力学是不完备的理论以来，对其的补充或替代理论的追寻也从未停止。也许是习惯了经典力学的决定论性特点，20世纪初的物理学家们大多认为，像一辆小车、一个电子这样的“死物”，其行为应该是可以通过力学方程严格预测的,爱因斯坦一言蔽之：“上帝不掷骰子。”&amp;lt;br&amp;gt;&lt;br /&gt;
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基于这种观点，量子论所描述的粒子的概率行为当然令人生疑。一个自然的想法是：由于缺乏足够的信息和理解，所以对粒子行为不能准确把握；而当我们拥有了足够的信息、更深的理论理解，就能准确预测粒子行为。这种想法催生了一类隐参量理论。贝尔 John Stewart Bell 在寻找玻姆式的隐参量理论时，发现该类理论一旦结合定域性条件，将对纠缠态粒子的可能关联程度建立一个严格的数学限制，即贝尔不等式，而该不等式在量子力学中却不一定成立。随着贝尔不等式被阿莱恩·阿斯派克特 Alain Aspect等人的实验证伪，定域性的隐参量理论被否定。&amp;lt;br&amp;gt;&lt;br /&gt;
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贝尔本人也认为：“任何定域隐变量理论都不可能重现量子力学的全部统计性预言。”然而，决定论并没有就此被终结，寻找其他的决定性力学理论的努力至今仍在继续，其影响根深蒂固，让人怀疑量子论只是权宜之计。&amp;lt;br&amp;gt;&lt;br /&gt;
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进入21世纪，普林斯顿大学的康韦 John Conway 和寇辰 Simon Kochen 教授提出了自由意志定理，再次给决定论以沉重打击。&amp;lt;br&amp;gt;&lt;br /&gt;
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==公理内容==&lt;br /&gt;
[[File:entanglement.jpeg|200px|缩略图|量子纠缠|right]]&lt;br /&gt;
自由意志定理的出发点之一就是：我们人类是拥有自由意志的。并且康韦等认为这点上毋庸置疑，也没有争论的意义与必要。&amp;lt;br&amp;gt;&lt;br /&gt;
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康韦 John Conway 和寇辰 Simon Kochen 教授提出了三个公理，他们称其为“ '''鳍式 FIN'''”，“'''自旋 SPIN'''”和“'''孪生 TWIN'''”。自旋和孪生公理可以通过纠缠实验验证，鳍式是相对论的一个结果。&lt;br /&gt;
*鳍式：信息的传播有一个最大的速度（不一定是光速）。康威和Kochen说这是“有效因果关系 effective causality”的结果。&lt;br /&gt;
*自旋：在三个正交方向上获得的自旋一的某些基本粒子的平方自旋分量，将是（1,1,0）的排列。&lt;br /&gt;
*孪生：这是可以“缠结”的两个基本粒子，并将它们隔开很大的距离，如果在平行方向上进行测量，它们具有相同的平方自旋结果。假设有两个实验者，如果第一个实验者a（在地球上）对这个框架（x，y，z）进行三重实验，得到结果：&amp;lt;math&amp;gt;x \rightarrow j, y \rightarrow k , z \rightarrow l&amp;lt;/math&amp;gt;这是'''量子纠缠'''的结果。而第二个实验者b（在火星上，至少5光分以外）测量方向w的单一自旋，那么如果w是x，y，z中的一个，结果分别是&amp;lt;math&amp;gt;w \rightarrow j, k 或 l&amp;lt;/math&amp;gt;。所以“孪生”公理指明离子间的纠缠关系，但是对于“孪生”公理来说，完全纠缠不是必需的（纠缠是充分不必要条件）。&lt;br /&gt;
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在他们2009年的论文“强自由意志定理”&amp;lt;ref name = Later /&amp;gt;中，Conway和Kochen用一个更弱的定理“Min”代替了鳍公理。 Min断言：两个以类似空间的方式分离的实验者可以独立地做出测量结果的选择。 特别地，假定中所有信息的传输速度没有受到最大限制，而仅受有关测量选择的特定信息的限制。在2017年，Kochen辩称Min可以由Lin代替实验可验证（Lorentz covariance）。&amp;lt;ref name =&amp;quot;:0&amp;quot;/&amp;gt;&lt;br /&gt;
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== 定理概要==&lt;br /&gt;
自由意志定理指出：&lt;br /&gt;
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'''{{quotation|根据公理，如果所讨论的两个实验者可以自由选择要进行的测量，那么测量结果就不能由实验之前的任何事情来确定。}}'''&lt;br /&gt;
这是“结果开放 outcome open”定理：&lt;br /&gt;
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'''{{quotation |如果实验的结果是公开的，那么一个或两个实验者可能会自由地选择所要采取的行动。}}'''&lt;br /&gt;
&lt;br /&gt;
由于该定理适用于与公理一致的任何物理理论，因此它不能以特殊的方式将信息放入宇宙的过去进行研究。该论点源自'''Kochen–Specker定理'''，该结果表明，对自旋的任何单独测量的结果都不是独立于测量选择而固定的。正如Cator和Landsman关于'''隐藏变量理论 hidden-variable theories'''所述&amp;lt;ref name=Cator&amp;gt;{{cite journal |author1=Cator, Eric |author2=Klaas Landsman |title=Constraints on determinism: Bell versus Conway–Kochen |journal=Foundations of Physics |volume=44 |issue=7 |year=2014 |pages=781–791 |doi=10.1007/s10701-014-9815-z|arxiv = 1402.1972 |bibcode = 2014FoPh...44..781C }}&amp;lt;/ref&amp;gt;：“隐藏变量（在相关的因果关系上）一方面应包括与实验有关的所有本体信息，但另一方面应该让实验对象自由选择他们倾向的任何设置。”&lt;br /&gt;
&lt;br /&gt;
==讨论==&lt;br /&gt;
根据Cator和Landsman &amp;lt;ref name = Cator /&amp;gt;的说法，Conway和Kochen证明“确定性与许多'先验'理想假设不相容”。 Cator和Landsman将'''Min'''假设与'''Bell定理'''中的局部性假设进行了比较，并得出加强版自由意志定理的结论，因为它使用的假设比Bell 1964年的定理更少（因为它没有用到概率论的相关内容）。哲学家戴维·霍奇森 David Hodgson 支持该定理，因为该结论非常明确地表明“科学不支持决定论”：比如量子力学证明粒子的确以与过去不同的方式运动。&amp;lt;ref&amp;gt;{{cite book |author=David Hodgson |title=Rationality + Consciousness = Free Will |chapter=Chapter 7: Science and determinism |isbn=9780199845309 |year=2012 |publisher=Oxford University Press |chapter-url=https://books.google.com/books?id=4SGsmowYARsC&amp;amp;pg=PA121&amp;amp;dq=%22Conway+and+Kochen+call+the+free+will+theorem%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ei=UiMYVeTBII3woATFkoKAAQ&amp;amp;ved=0CB4Q6AEwAA#v=onepage&amp;amp;q=%22Conway%20and%20Kochen%20call%20the%20free%20will%20theorem%22&amp;amp;f=false}}&amp;lt;/ref&amp;gt;但有一些言论认为这个定理只适应于确定的模型。 &amp;lt;ref&amp;gt;Sheldon Goldstein, Daniel V. Tausk, Roderich Tumulka, and Nino Zanghì (2010). [http://www.ams.org/notices/201011/rtx101101451p.pdf What Does the Free Will Theorem Actually Prove?] ''Notices of the AMS'', December, 1451–1453.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==文献引用==&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==其他参考文献==&lt;br /&gt;
* Conway and Kochen, [http://www.ams.org/notices/200902/rtx090200226p.pdf The Strong Free Will Theorem], published in Notices of the AMS. Volume 56, Number 2, February 2009.&lt;br /&gt;
&lt;br /&gt;
[https://kns.cnki.net/KNS8/Detail?sfield=fn&amp;amp;QueryID=0&amp;amp;CurRec=3&amp;amp;recid=&amp;amp;FileName=ZXFX201605009&amp;amp;DbName=CJFDLAST2016&amp;amp;DbCode=CJFD&amp;amp;yx=&amp;amp;pr=&amp;amp;URLID=  量子力学中的自由意志定理]&lt;br /&gt;
*{{Cite journal&lt;br /&gt;
  | last =Rehmeyer&lt;br /&gt;
  | first =Julie&lt;br /&gt;
  | title = Do Subatomic Particles Have Free Will?&lt;br /&gt;
  | journal = Science News&lt;br /&gt;
  | volume = &lt;br /&gt;
  | issue = &lt;br /&gt;
  | pages = &lt;br /&gt;
  | date = August 15, 2008&lt;br /&gt;
  | url = http://www.sciencenews.org/view/generic/id/35391/title/Math_Trek__Do_subatomic_particles_have_free_will%3F&lt;br /&gt;
  | doi =&lt;br /&gt;
  | postscript =&amp;lt;!--None--&amp;gt;  }}&lt;br /&gt;
*[https://mediacentral.princeton.edu/tag/tagid/free%20will Introduction to the Free Will Theorem], videos of six lectures given by J. H. Conway, Mar. 2009.&lt;br /&gt;
* {{cite encyclopedia&lt;br /&gt;
|last= Wüthrich&lt;br /&gt;
|first= Christian&lt;br /&gt;
|editor1-first= Claus&lt;br /&gt;
|editor1-last= Beisbart&lt;br /&gt;
|editor2-first= Stephan&lt;br /&gt;
|editor2-last= Hartmann&lt;br /&gt;
|encyclopedia= Probabilities in Physics&lt;br /&gt;
|title= Can the world be shown to be indeterministic after all?&lt;br /&gt;
|trans-title=&lt;br /&gt;
|date= September 2011&lt;br /&gt;
|publisher= Oxford University Press&lt;br /&gt;
|isbn= 978-0199577439&lt;br /&gt;
|doi= 10.1093/acprof:oso/9780199577439.003.0014&lt;br /&gt;
|pages= 365–389&lt;br /&gt;
|chapter-url= http://philsci-archive.pitt.edu/8437/&lt;br /&gt;
|chapter= Can the World Beshown to be Indeterministic after all?&lt;br /&gt;
|url= http://philsci-archive.pitt.edu/8437/1/WuthrichChristian2010PhilSci_IndeterministicWorld.pdf&lt;br /&gt;
}}&lt;br /&gt;
==相关链接==&lt;br /&gt;
*[http://www.informationphilosopher.com/freedom/free_will_theorem.html The Free Will Theorem of Conway and Kochen]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==编者推荐==&lt;br /&gt;
[[File:Uncertainty.jpg|140px|缩略图|复杂系统]]&lt;br /&gt;
*[https://pattern.swarma.org/path?id=32 长文综述：复杂系统科学及其应用]&lt;br /&gt;
自由意志定理证明复杂系统是具有不可预测性和不确定性的。&lt;br /&gt;
&lt;br /&gt;
如何理解复杂系统？如何分析复杂系统？如何设计复杂系统？这是研究和学习复杂性科学会遇到的问题。&lt;br /&gt;
&lt;br /&gt;
本文对研究复杂系统与不确定性（COMPLEX SYSTEMS AND UNCERTAINTY）的研究做了一个长文综述。&lt;br /&gt;
----&lt;br /&gt;
本中文词条由[[用户:费米子|费米子]]编辑，欢迎在讨论页面留言。&lt;br /&gt;
&lt;br /&gt;
'''本词条内容源自wikipedia及公开资料，遵守 CC3.0协议。'''&lt;br /&gt;
[[Category:Physics theorems]]&lt;br /&gt;
[[Category:Free will]]&lt;br /&gt;
[[Category:自由意志定理]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E8%87%AA%E7%94%B1%E6%84%8F%E5%BF%97%E5%AE%9A%E7%90%86_Free_Will_Theorem&amp;diff=14484</id>
		<title>自由意志定理 Free Will Theorem</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E8%87%AA%E7%94%B1%E6%84%8F%E5%BF%97%E5%AE%9A%E7%90%86_Free_Will_Theorem&amp;diff=14484"/>
		<updated>2020-09-27T04:00:04Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 公理背景——量子力学中的自由意志定理 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{#seo:&lt;br /&gt;
* |keywords=自由意志定理,the free will theorem,John Horton Conway,自由意志&lt;br /&gt;
* |description=自由意志定理,the free will theorem,John Horton Conway,自由意志&lt;br /&gt;
* }}&lt;br /&gt;
[[File:freewill.jpeg|200px|缩略图|自由意志是不受阻碍地在不同可能的行动路线之间进行选择的能力|right]]&lt;br /&gt;
'''自由意志定理 Free Will Theorem'''的形式描述为：在某些条件下，如果实验者可以自由决定在特定实验中测量什么量，那么基本粒子必须能够自由选择其自旋，以使测量结果与物理定律一致。该定理由[[约翰·何顿·康威 John Horton Conway]]和Simon B. Kochen提出，他们指出：如果我们拥有自由意志（即我们的选择与过去时间无关），那么在一定的假设前提下，一些基本粒子必须表现出类似的行为。 Conway和Kochen的论文发表在2006年的《物理学基础 Foundations of Physics》上。&amp;lt;ref&amp;gt;{{cite journal | last = Conway | first = John |author2=Simon Kochen | year = 2006 | title = The Free Will Theorem | journal = Foundations of Physics | volume = 36 | issue = 10 | pages = 1441 | doi = 10.1007/s10701-006-9068-6 |arxiv = quant-ph/0604079 |bibcode = 2006FoPh...36.1441C }}&amp;lt;/ref&amp;gt;  2009年，Conway在AMS中发布了该定理的一个加强版本。&amp;lt;ref name=Later&amp;gt;{{cite journal |author1=Conway, John H. |author2=Simon Kochen |title=The strong free will theorem |journal= Notices of the AMS |volume=56 |issue=2 |year=2009 |pages=226–232 |url=http://www.ams.org/notices/200902/rtx090200226p.pdf?q=will&amp;amp;sa=U&amp;amp;ei=k71jU8X7DoypyASw9YGoCA&amp;amp;ved=0CCAQFjAB&amp;amp;usg=AFQjCNE7L-k87yWE32ru0rDjkLOdg12LRQ}}&amp;lt;/ref&amp;gt;后来，在2017年，Kochen对其中一些细节进行更进一步的阐释论证。&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Kochen S., (2017), [https://arxiv.org/abs/1710.00868 ''Born's Rule, EPR, and the Free Will Theorem''] [[arxiv]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==公理背景——量子力学中的自由意志定理==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
量子力学自建立后近一个世纪以来，已在科学技术的各个领域取得了巨大的成功。而与此同时，量子力学也是一个充满争议的理论。自爱因斯坦提出量子力学是不完备的理论以来，对其的补充或替代理论的追寻也从未停止。也许是习惯了经典力学的决定论性特点，20世纪初的物理学家们大多认为，像一辆小车、一个电子这样的“死物”，其行为应该 是可以通过力学方程严格预测的,爱因斯坦一言蔽之：“上帝不掷骰子。”&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
基于这种观点，量子论所描述的粒子的概率行为当然令人生疑。一个自然的想法是：由于缺乏足够的信息和理解，所以对粒子行为不能准确把握；而当我们拥有了足够的信息、更深的理论理解，就能准确预测粒子行为。这种想法催生了一类隐参量理论。贝尔 John Stewart Bell 在寻找玻姆式的隐参量理论时，发现该类理论一旦结合定域性条件，将对纠缠态粒子的可能关联程度建立一个严格的数学限制，即贝尔不等式，而该不等式在量子力学中却不一定成立。随着贝尔不等式被阿莱恩·阿斯派克特 Alain Aspect等人的实验证伪，定域性的隐参量理论被否定。&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
贝尔本人也认为：“任何定域隐变量理论都不可能重现量子力学的全部统计性预言。”然而，决定论并没有就此被终结，寻找其他的决定性力学理论的努力至今仍在继续，其影响根深蒂固，让人怀疑量子论只是权宜之计。&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
进入21世纪，普林斯顿大学的康韦 John Conway 和寇辰 Simon Kochen 教授提出了自由意志定理，再次给决定论以沉重打击。&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==公理内容==&lt;br /&gt;
[[File:entanglement.jpeg|200px|缩略图|量子纠缠|right]]&lt;br /&gt;
自由意志定理的出发点之一就是：我们人类是拥有自由意志的。并且康韦等认为这点上毋庸置疑，也没有争论的意义与必要。&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
康韦 John Conway 和寇辰 Simon Kochen 教授提出了三个公理，他们称其为“ '''鳍式 FIN'''”，“'''自旋 SPIN'''”和“'''孪生 TWIN'''”。自旋和孪生公理可以通过纠缠实验验证，鳍式是相对论的一个结果。&lt;br /&gt;
*鳍式：信息的传播有一个最大的速度（不一定是光速）。康威和Kochen说这是“有效因果关系 effective causality”的结果。&lt;br /&gt;
*自旋：在三个正交方向上获得的自旋一的某些基本粒子的平方自旋分量，将是（1,1,0）的排列。&lt;br /&gt;
*孪生：这是可以“缠结”的两个基本粒子，并将它们隔开很大的距离，如果在平行方向上进行测量，它们具有相同的平方自旋结果。假设有两个实验者，如果第一个实验者a（在地球上）对这个框架（x，y，z）进行三重实验，得到结果：&amp;lt;math&amp;gt;x \rightarrow j, y \rightarrow k , z \rightarrow l&amp;lt;/math&amp;gt;这是'''量子纠缠'''的结果。而第二个实验者b（在火星上，至少5光分以外）测量方向w的单一自旋，那么如果w是x，y，z中的一个，结果分别是&amp;lt;math&amp;gt;w \rightarrow j, k 或 l&amp;lt;/math&amp;gt;。所以“孪生”公理指明离子间的纠缠关系，但是对于“孪生”公理来说，完全纠缠不是必需的（纠缠是充分不必要条件）。&lt;br /&gt;
&lt;br /&gt;
在他们2009年的论文“强自由意志定理”&amp;lt;ref name = Later /&amp;gt;中，Conway和Kochen用一个更弱的定理“Min”代替了鳍公理。 Min断言：两个以类似空间的方式分离的实验者可以独立地做出测量结果的选择。 特别地，假定中所有信息的传输速度没有受到最大限制，而仅受有关测量选择的特定信息的限制。在2017年，Kochen辩称Min可以由Lin代替实验可验证（Lorentz covariance）。&amp;lt;ref name =&amp;quot;:0&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== 定理概要==&lt;br /&gt;
自由意志定理指出：&lt;br /&gt;
 &lt;br /&gt;
'''{{quotation|根据公理，如果所讨论的两个实验者可以自由选择要进行的测量，那么测量结果就不能由实验之前的任何事情来确定。}}'''&lt;br /&gt;
这是“结果开放 outcome open”定理：&lt;br /&gt;
&lt;br /&gt;
'''{{quotation |如果实验的结果是公开的，那么一个或两个实验者可能会自由地选择所要采取的行动。}}'''&lt;br /&gt;
&lt;br /&gt;
由于该定理适用于与公理一致的任何物理理论，因此它不能以特殊的方式将信息放入宇宙的过去进行研究。该论点源自'''Kochen–Specker定理'''，该结果表明，对自旋的任何单独测量的结果都不是独立于测量选择而固定的。正如Cator和Landsman关于'''隐藏变量理论 hidden-variable theories'''所述&amp;lt;ref name=Cator&amp;gt;{{cite journal |author1=Cator, Eric |author2=Klaas Landsman |title=Constraints on determinism: Bell versus Conway–Kochen |journal=Foundations of Physics |volume=44 |issue=7 |year=2014 |pages=781–791 |doi=10.1007/s10701-014-9815-z|arxiv = 1402.1972 |bibcode = 2014FoPh...44..781C }}&amp;lt;/ref&amp;gt;：“隐藏变量（在相关的因果关系上）一方面应包括与实验有关的所有本体信息，但另一方面应该让实验对象自由选择他们倾向的任何设置。”&lt;br /&gt;
&lt;br /&gt;
==讨论==&lt;br /&gt;
根据Cator和Landsman &amp;lt;ref name = Cator /&amp;gt;的说法，Conway和Kochen证明“确定性与许多'先验'理想假设不相容”。 Cator和Landsman将'''Min'''假设与'''Bell定理'''中的局部性假设进行了比较，并得出加强版自由意志定理的结论，因为它使用的假设比Bell 1964年的定理更少（因为它没有用到概率论的相关内容）。哲学家戴维·霍奇森 David Hodgson 支持该定理，因为该结论非常明确地表明“科学不支持决定论”：比如量子力学证明粒子的确以与过去不同的方式运动。&amp;lt;ref&amp;gt;{{cite book |author=David Hodgson |title=Rationality + Consciousness = Free Will |chapter=Chapter 7: Science and determinism |isbn=9780199845309 |year=2012 |publisher=Oxford University Press |chapter-url=https://books.google.com/books?id=4SGsmowYARsC&amp;amp;pg=PA121&amp;amp;dq=%22Conway+and+Kochen+call+the+free+will+theorem%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ei=UiMYVeTBII3woATFkoKAAQ&amp;amp;ved=0CB4Q6AEwAA#v=onepage&amp;amp;q=%22Conway%20and%20Kochen%20call%20the%20free%20will%20theorem%22&amp;amp;f=false}}&amp;lt;/ref&amp;gt;但有一些言论认为这个定理只适应于确定的模型。 &amp;lt;ref&amp;gt;Sheldon Goldstein, Daniel V. Tausk, Roderich Tumulka, and Nino Zanghì (2010). [http://www.ams.org/notices/201011/rtx101101451p.pdf What Does the Free Will Theorem Actually Prove?] ''Notices of the AMS'', December, 1451–1453.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==文献引用==&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==其他参考文献==&lt;br /&gt;
* Conway and Kochen, [http://www.ams.org/notices/200902/rtx090200226p.pdf The Strong Free Will Theorem], published in Notices of the AMS. Volume 56, Number 2, February 2009.&lt;br /&gt;
&lt;br /&gt;
[https://kns.cnki.net/KNS8/Detail?sfield=fn&amp;amp;QueryID=0&amp;amp;CurRec=3&amp;amp;recid=&amp;amp;FileName=ZXFX201605009&amp;amp;DbName=CJFDLAST2016&amp;amp;DbCode=CJFD&amp;amp;yx=&amp;amp;pr=&amp;amp;URLID=  量子力学中的自由意志定理]&lt;br /&gt;
*{{Cite journal&lt;br /&gt;
  | last =Rehmeyer&lt;br /&gt;
  | first =Julie&lt;br /&gt;
  | title = Do Subatomic Particles Have Free Will?&lt;br /&gt;
  | journal = Science News&lt;br /&gt;
  | volume = &lt;br /&gt;
  | issue = &lt;br /&gt;
  | pages = &lt;br /&gt;
  | date = August 15, 2008&lt;br /&gt;
  | url = http://www.sciencenews.org/view/generic/id/35391/title/Math_Trek__Do_subatomic_particles_have_free_will%3F&lt;br /&gt;
  | doi =&lt;br /&gt;
  | postscript =&amp;lt;!--None--&amp;gt;  }}&lt;br /&gt;
*[https://mediacentral.princeton.edu/tag/tagid/free%20will Introduction to the Free Will Theorem], videos of six lectures given by J. H. Conway, Mar. 2009.&lt;br /&gt;
* {{cite encyclopedia&lt;br /&gt;
|last= Wüthrich&lt;br /&gt;
|first= Christian&lt;br /&gt;
|editor1-first= Claus&lt;br /&gt;
|editor1-last= Beisbart&lt;br /&gt;
|editor2-first= Stephan&lt;br /&gt;
|editor2-last= Hartmann&lt;br /&gt;
|encyclopedia= Probabilities in Physics&lt;br /&gt;
|title= Can the world be shown to be indeterministic after all?&lt;br /&gt;
|trans-title=&lt;br /&gt;
|date= September 2011&lt;br /&gt;
|publisher= Oxford University Press&lt;br /&gt;
|isbn= 978-0199577439&lt;br /&gt;
|doi= 10.1093/acprof:oso/9780199577439.003.0014&lt;br /&gt;
|pages= 365–389&lt;br /&gt;
|chapter-url= http://philsci-archive.pitt.edu/8437/&lt;br /&gt;
|chapter= Can the World Beshown to be Indeterministic after all?&lt;br /&gt;
|url= http://philsci-archive.pitt.edu/8437/1/WuthrichChristian2010PhilSci_IndeterministicWorld.pdf&lt;br /&gt;
}}&lt;br /&gt;
==相关链接==&lt;br /&gt;
*[http://www.informationphilosopher.com/freedom/free_will_theorem.html The Free Will Theorem of Conway and Kochen]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==编者推荐==&lt;br /&gt;
[[File:Uncertainty.jpg|140px|缩略图|复杂系统]]&lt;br /&gt;
*[https://pattern.swarma.org/path?id=32 长文综述：复杂系统科学及其应用]&lt;br /&gt;
自由意志定理证明复杂系统是具有不可预测性和不确定性的。&lt;br /&gt;
&lt;br /&gt;
如何理解复杂系统？如何分析复杂系统？如何设计复杂系统？这是研究和学习复杂性科学会遇到的问题。&lt;br /&gt;
&lt;br /&gt;
本文对研究复杂系统与不确定性（COMPLEX SYSTEMS AND UNCERTAINTY）的研究做了一个长文综述。&lt;br /&gt;
----&lt;br /&gt;
本中文词条由[[用户:费米子|费米子]]编辑，欢迎在讨论页面留言。&lt;br /&gt;
&lt;br /&gt;
'''本词条内容源自wikipedia及公开资料，遵守 CC3.0协议。'''&lt;br /&gt;
[[Category:Physics theorems]]&lt;br /&gt;
[[Category:Free will]]&lt;br /&gt;
[[Category:自由意志定理]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E8%87%AA%E7%94%B1%E6%84%8F%E5%BF%97%E5%AE%9A%E7%90%86_Free_Will_Theorem&amp;diff=14482</id>
		<title>自由意志定理 Free Will Theorem</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E8%87%AA%E7%94%B1%E6%84%8F%E5%BF%97%E5%AE%9A%E7%90%86_Free_Will_Theorem&amp;diff=14482"/>
		<updated>2020-09-27T03:59:38Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;{{#seo:&lt;br /&gt;
* |keywords=自由意志定理,the free will theorem,John Horton Conway,自由意志&lt;br /&gt;
* |description=自由意志定理,the free will theorem,John Horton Conway,自由意志&lt;br /&gt;
* }}&lt;br /&gt;
[[File:freewill.jpeg|200px|缩略图|自由意志是不受阻碍地在不同可能的行动路线之间进行选择的能力|right]]&lt;br /&gt;
'''自由意志定理 Free Will Theorem'''的形式描述为：在某些条件下，如果实验者可以自由决定在特定实验中测量什么量，那么基本粒子必须能够自由选择其自旋，以使测量结果与物理定律一致。该定理由[[约翰·何顿·康威 John Horton Conway]]和Simon B. Kochen提出，他们指出：如果我们拥有自由意志（即我们的选择与过去时间无关），那么在一定的假设前提下，一些基本粒子必须表现出类似的行为。 Conway和Kochen的论文发表在2006年的《物理学基础 Foundations of Physics》上。&amp;lt;ref&amp;gt;{{cite journal | last = Conway | first = John |author2=Simon Kochen | year = 2006 | title = The Free Will Theorem | journal = Foundations of Physics | volume = 36 | issue = 10 | pages = 1441 | doi = 10.1007/s10701-006-9068-6 |arxiv = quant-ph/0604079 |bibcode = 2006FoPh...36.1441C }}&amp;lt;/ref&amp;gt;  2009年，Conway在AMS中发布了该定理的一个加强版本。&amp;lt;ref name=Later&amp;gt;{{cite journal |author1=Conway, John H. |author2=Simon Kochen |title=The strong free will theorem |journal= Notices of the AMS |volume=56 |issue=2 |year=2009 |pages=226–232 |url=http://www.ams.org/notices/200902/rtx090200226p.pdf?q=will&amp;amp;sa=U&amp;amp;ei=k71jU8X7DoypyASw9YGoCA&amp;amp;ved=0CCAQFjAB&amp;amp;usg=AFQjCNE7L-k87yWE32ru0rDjkLOdg12LRQ}}&amp;lt;/ref&amp;gt;后来，在2017年，Kochen对其中一些细节进行更进一步的阐释论证。&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Kochen S., (2017), [https://arxiv.org/abs/1710.00868 ''Born's Rule, EPR, and the Free Will Theorem''] [[arxiv]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==公理背景——量子力学中的自由意志定理==&lt;br /&gt;
量子力学自建立后近一个世纪以来，已在科学技术的各个领域取得了巨大的成功。而与此同时，量子力学也是一个充满争议的理论。自爱因斯坦提出量子力学是不完备的理论以来，对其的补充或替代理论的追寻也从未停止。也许是习惯了经典力学的决定论性特点，20世纪初的物理学家们大多认为，像一辆小车、一个电子这样的“死物”，其行为应该 是可以通过力学方程严格预测的,爱因斯坦一言蔽之：“上帝不掷骰子。”&amp;lt;br&amp;gt;&lt;br /&gt;
基于这种观点，量子论所描述的粒子的概率行为当然令人生疑。一个自然的想法是：由于缺乏足够的信息和理解，所以对粒子行为不能准确把握；而当我们拥有了足够的信息、更深的理论理解，就能准确预测粒子行为。这种想法催生了一类隐参量理论。贝尔 John Stewart Bell 在寻找玻姆式的隐参量理论时，发现该类理论一旦结合定域性条件，将对纠缠态粒子的可能关联程度建立一个严格的数学限制，即贝尔不等式，而该不等式在量子力学中却不一定成立。随着贝尔不等式被阿莱恩·阿斯派克特 Alain Aspect等人的实验证伪，定域性的隐参量理论被否定。&amp;lt;br&amp;gt;&lt;br /&gt;
贝尔本人也认为：“任何定域隐变量理论都不可能重现量子力学的全部统计性预言。”然而，决定论并没有就此被终结，寻找其他的决定性力学理论的努力至今仍在继续，其影响根深蒂固，让人怀疑量子论只是权宜之计。&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
进入21世纪，普林斯顿大学的康韦 John Conway 和寇辰 Simon Kochen 教授提出了自由意志定理，再次给决定论以沉重打击。&amp;lt;br&amp;gt;&lt;br /&gt;
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==公理内容==&lt;br /&gt;
[[File:entanglement.jpeg|200px|缩略图|量子纠缠|right]]&lt;br /&gt;
自由意志定理的出发点之一就是：我们人类是拥有自由意志的。并且康韦等认为这点上毋庸置疑，也没有争论的意义与必要。&amp;lt;br&amp;gt;&lt;br /&gt;
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康韦 John Conway 和寇辰 Simon Kochen 教授提出了三个公理，他们称其为“ '''鳍式 FIN'''”，“'''自旋 SPIN'''”和“'''孪生 TWIN'''”。自旋和孪生公理可以通过纠缠实验验证，鳍式是相对论的一个结果。&lt;br /&gt;
*鳍式：信息的传播有一个最大的速度（不一定是光速）。康威和Kochen说这是“有效因果关系 effective causality”的结果。&lt;br /&gt;
*自旋：在三个正交方向上获得的自旋一的某些基本粒子的平方自旋分量，将是（1,1,0）的排列。&lt;br /&gt;
*孪生：这是可以“缠结”的两个基本粒子，并将它们隔开很大的距离，如果在平行方向上进行测量，它们具有相同的平方自旋结果。假设有两个实验者，如果第一个实验者a（在地球上）对这个框架（x，y，z）进行三重实验，得到结果：&amp;lt;math&amp;gt;x \rightarrow j, y \rightarrow k , z \rightarrow l&amp;lt;/math&amp;gt;这是'''量子纠缠'''的结果。而第二个实验者b（在火星上，至少5光分以外）测量方向w的单一自旋，那么如果w是x，y，z中的一个，结果分别是&amp;lt;math&amp;gt;w \rightarrow j, k 或 l&amp;lt;/math&amp;gt;。所以“孪生”公理指明离子间的纠缠关系，但是对于“孪生”公理来说，完全纠缠不是必需的（纠缠是充分不必要条件）。&lt;br /&gt;
&lt;br /&gt;
在他们2009年的论文“强自由意志定理”&amp;lt;ref name = Later /&amp;gt;中，Conway和Kochen用一个更弱的定理“Min”代替了鳍公理。 Min断言：两个以类似空间的方式分离的实验者可以独立地做出测量结果的选择。 特别地，假定中所有信息的传输速度没有受到最大限制，而仅受有关测量选择的特定信息的限制。在2017年，Kochen辩称Min可以由Lin代替实验可验证（Lorentz covariance）。&amp;lt;ref name =&amp;quot;:0&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== 定理概要==&lt;br /&gt;
自由意志定理指出：&lt;br /&gt;
 &lt;br /&gt;
'''{{quotation|根据公理，如果所讨论的两个实验者可以自由选择要进行的测量，那么测量结果就不能由实验之前的任何事情来确定。}}'''&lt;br /&gt;
这是“结果开放 outcome open”定理：&lt;br /&gt;
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'''{{quotation |如果实验的结果是公开的，那么一个或两个实验者可能会自由地选择所要采取的行动。}}'''&lt;br /&gt;
&lt;br /&gt;
由于该定理适用于与公理一致的任何物理理论，因此它不能以特殊的方式将信息放入宇宙的过去进行研究。该论点源自'''Kochen–Specker定理'''，该结果表明，对自旋的任何单独测量的结果都不是独立于测量选择而固定的。正如Cator和Landsman关于'''隐藏变量理论 hidden-variable theories'''所述&amp;lt;ref name=Cator&amp;gt;{{cite journal |author1=Cator, Eric |author2=Klaas Landsman |title=Constraints on determinism: Bell versus Conway–Kochen |journal=Foundations of Physics |volume=44 |issue=7 |year=2014 |pages=781–791 |doi=10.1007/s10701-014-9815-z|arxiv = 1402.1972 |bibcode = 2014FoPh...44..781C }}&amp;lt;/ref&amp;gt;：“隐藏变量（在相关的因果关系上）一方面应包括与实验有关的所有本体信息，但另一方面应该让实验对象自由选择他们倾向的任何设置。”&lt;br /&gt;
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==讨论==&lt;br /&gt;
根据Cator和Landsman &amp;lt;ref name = Cator /&amp;gt;的说法，Conway和Kochen证明“确定性与许多'先验'理想假设不相容”。 Cator和Landsman将'''Min'''假设与'''Bell定理'''中的局部性假设进行了比较，并得出加强版自由意志定理的结论，因为它使用的假设比Bell 1964年的定理更少（因为它没有用到概率论的相关内容）。哲学家戴维·霍奇森 David Hodgson 支持该定理，因为该结论非常明确地表明“科学不支持决定论”：比如量子力学证明粒子的确以与过去不同的方式运动。&amp;lt;ref&amp;gt;{{cite book |author=David Hodgson |title=Rationality + Consciousness = Free Will |chapter=Chapter 7: Science and determinism |isbn=9780199845309 |year=2012 |publisher=Oxford University Press |chapter-url=https://books.google.com/books?id=4SGsmowYARsC&amp;amp;pg=PA121&amp;amp;dq=%22Conway+and+Kochen+call+the+free+will+theorem%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ei=UiMYVeTBII3woATFkoKAAQ&amp;amp;ved=0CB4Q6AEwAA#v=onepage&amp;amp;q=%22Conway%20and%20Kochen%20call%20the%20free%20will%20theorem%22&amp;amp;f=false}}&amp;lt;/ref&amp;gt;但有一些言论认为这个定理只适应于确定的模型。 &amp;lt;ref&amp;gt;Sheldon Goldstein, Daniel V. Tausk, Roderich Tumulka, and Nino Zanghì (2010). [http://www.ams.org/notices/201011/rtx101101451p.pdf What Does the Free Will Theorem Actually Prove?] ''Notices of the AMS'', December, 1451–1453.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==文献引用==&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==其他参考文献==&lt;br /&gt;
* Conway and Kochen, [http://www.ams.org/notices/200902/rtx090200226p.pdf The Strong Free Will Theorem], published in Notices of the AMS. Volume 56, Number 2, February 2009.&lt;br /&gt;
&lt;br /&gt;
[https://kns.cnki.net/KNS8/Detail?sfield=fn&amp;amp;QueryID=0&amp;amp;CurRec=3&amp;amp;recid=&amp;amp;FileName=ZXFX201605009&amp;amp;DbName=CJFDLAST2016&amp;amp;DbCode=CJFD&amp;amp;yx=&amp;amp;pr=&amp;amp;URLID=  量子力学中的自由意志定理]&lt;br /&gt;
*{{Cite journal&lt;br /&gt;
  | last =Rehmeyer&lt;br /&gt;
  | first =Julie&lt;br /&gt;
  | title = Do Subatomic Particles Have Free Will?&lt;br /&gt;
  | journal = Science News&lt;br /&gt;
  | volume = &lt;br /&gt;
  | issue = &lt;br /&gt;
  | pages = &lt;br /&gt;
  | date = August 15, 2008&lt;br /&gt;
  | url = http://www.sciencenews.org/view/generic/id/35391/title/Math_Trek__Do_subatomic_particles_have_free_will%3F&lt;br /&gt;
  | doi =&lt;br /&gt;
  | postscript =&amp;lt;!--None--&amp;gt;  }}&lt;br /&gt;
*[https://mediacentral.princeton.edu/tag/tagid/free%20will Introduction to the Free Will Theorem], videos of six lectures given by J. H. Conway, Mar. 2009.&lt;br /&gt;
* {{cite encyclopedia&lt;br /&gt;
|last= Wüthrich&lt;br /&gt;
|first= Christian&lt;br /&gt;
|editor1-first= Claus&lt;br /&gt;
|editor1-last= Beisbart&lt;br /&gt;
|editor2-first= Stephan&lt;br /&gt;
|editor2-last= Hartmann&lt;br /&gt;
|encyclopedia= Probabilities in Physics&lt;br /&gt;
|title= Can the world be shown to be indeterministic after all?&lt;br /&gt;
|trans-title=&lt;br /&gt;
|date= September 2011&lt;br /&gt;
|publisher= Oxford University Press&lt;br /&gt;
|isbn= 978-0199577439&lt;br /&gt;
|doi= 10.1093/acprof:oso/9780199577439.003.0014&lt;br /&gt;
|pages= 365–389&lt;br /&gt;
|chapter-url= http://philsci-archive.pitt.edu/8437/&lt;br /&gt;
|chapter= Can the World Beshown to be Indeterministic after all?&lt;br /&gt;
|url= http://philsci-archive.pitt.edu/8437/1/WuthrichChristian2010PhilSci_IndeterministicWorld.pdf&lt;br /&gt;
}}&lt;br /&gt;
==相关链接==&lt;br /&gt;
*[http://www.informationphilosopher.com/freedom/free_will_theorem.html The Free Will Theorem of Conway and Kochen]&lt;br /&gt;
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&amp;lt;br&amp;gt;&lt;br /&gt;
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==编者推荐==&lt;br /&gt;
[[File:Uncertainty.jpg|140px|缩略图|复杂系统]]&lt;br /&gt;
*[https://pattern.swarma.org/path?id=32 长文综述：复杂系统科学及其应用]&lt;br /&gt;
自由意志定理证明复杂系统是具有不可预测性和不确定性的。&lt;br /&gt;
&lt;br /&gt;
如何理解复杂系统？如何分析复杂系统？如何设计复杂系统？这是研究和学习复杂性科学会遇到的问题。&lt;br /&gt;
&lt;br /&gt;
本文对研究复杂系统与不确定性（COMPLEX SYSTEMS AND UNCERTAINTY）的研究做了一个长文综述。&lt;br /&gt;
----&lt;br /&gt;
本中文词条由[[用户:费米子|费米子]]编辑，欢迎在讨论页面留言。&lt;br /&gt;
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'''本词条内容源自wikipedia及公开资料，遵守 CC3.0协议。'''&lt;br /&gt;
[[Category:Physics theorems]]&lt;br /&gt;
[[Category:Free will]]&lt;br /&gt;
[[Category:自由意志定理]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B9%B3%E8%A1%A1%E7%90%86%E8%AE%BA&amp;diff=14391</id>
		<title>平衡理论</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B9%B3%E8%A1%A1%E7%90%86%E8%AE%BA&amp;diff=14391"/>
		<updated>2020-09-26T07:22:55Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* See also */&lt;/p&gt;
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&lt;div&gt;本词条由11初步翻译&lt;br /&gt;
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In the [[psychology]] of [[motivation]], '''balance theory''' is a theory of [[attitude change]], proposed by [[Fritz Heider]].&amp;lt;ref&amp;gt;Heider, Fritz (1958). ''The Psychology of Interpersonal Relations''. John Wiley &amp;amp; Sons.&amp;lt;/ref&amp;gt; It conceptualizes the [[cognitive consistency]] motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time.  Heider proposed that &amp;quot;sentiment&amp;quot; or liking relationships are balanced if the [[affect (psychology)|affect]] [[valence (psychology)|valence]] in a system multiplies out to a positive result.&lt;br /&gt;
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In the psychology of motivation, balance theory is a theory of attitude change, proposed by Fritz Heider. It conceptualizes the cognitive consistency motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time.  Heider proposed that &amp;quot;sentiment&amp;quot; or liking relationships are balanced if the affect valence in a system multiplies out to a positive result.&lt;br /&gt;
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在动机心理学中，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 平衡理论 Balance Theory&amp;lt;/font&amp;gt;'''是弗里茨·海德提出的一种态度变化理论。它将认知一致性动机概念化为一种促使心理平衡的驱动力。一致性动机是长期维持一个人的价值观和信仰的强烈愿望。海德提出，如果一个系统中的情感效价翻倍后得到积极的结果，那么“情感”或喜爱关系就是平衡的。&lt;br /&gt;
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In [[social network analysis]], balance theory is the extension proposed by [[Frank Harary]] and Dorwin Cartwright.  It was the framework for the discussion at a [[Dartmouth College]] symposium in September 1975.&amp;lt;ref&amp;gt;Paul W. Holland &amp;amp; Samuel Leinhardt (editors) (1979) ''Perspectives on Social Network Research'', [[Academic Press]] {{ISBN|9780123525505}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In social network analysis, balance theory is the extension proposed by Frank Harary and Dorwin Cartwright.  It was the framework for the discussion at a Dartmouth College symposium in September 1975.&lt;br /&gt;
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在社会网络分析中，平衡理论是由弗兰克·哈拉里和多尔文·卡特赖特提出的。这是1975年9月达特茅斯学院研讨会讨论的框架。&lt;br /&gt;
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==P-O-X model==&lt;br /&gt;
P-O-X模型&lt;br /&gt;
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[[File:Pox.jpg|thumb|Heider's P-O-X model]]&lt;br /&gt;
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Heider's P-O-X model&lt;br /&gt;
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海德的 P-O-X 模型&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）[翻译反馈]注意图注的格式  【图1：英文原文＋翻译内容】&lt;br /&gt;
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For example: a Person (&amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt;) who likes (&amp;lt;math&amp;gt;+&amp;lt;/math&amp;gt;) an Other (&amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;) person will be balanced by the same valence attitude on behalf of the other.  Symbolically, &amp;lt;math&amp;gt;P (+) &amp;gt; O&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P &amp;lt; (+) O&amp;lt;/math&amp;gt; results in psychological balance.&lt;br /&gt;
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For example: a Person (&amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt;) who likes (&amp;lt;math&amp;gt;+&amp;lt;/math&amp;gt;) an Other (&amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;) person will be balanced by the same valence attitude on behalf of the other.  Symbolically, &amp;lt;math&amp;gt;P (+) &amp;gt; O&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P &amp;lt; (+) O&amp;lt;/math&amp;gt; results in psychological balance.&lt;br /&gt;
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例如: 一个喜欢另一个人(O)的人(P)，会被代表他人的相同价态平衡。从符号上看， P(+)&amp;gt;O和P&amp;lt;(+)O导致了心理平衡。&lt;br /&gt;
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This can be extended to things or objects (&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) as well, thus introducing [[triadic relation]]ships.  If a person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; likes object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; but dislikes other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;, what does &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; feel upon learning that person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; created the object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;?  This is symbolized as such:&lt;br /&gt;
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This can be extended to things or objects (&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) as well, thus introducing triadic relationships.  If a person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; likes object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; but dislikes other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;, what does &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; feel upon learning that person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; created the object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;?  This is symbolized as such:&lt;br /&gt;
&lt;br /&gt;
这也可以扩展到事物或对象(X)，从而引入三元关系。如果一个人P喜欢物体X但不喜欢另一个人O，那么当P得知这个人O创造了物体O会有什么感受？这用符号表示如下:&lt;br /&gt;
&lt;br /&gt;
P (+) &amp;gt; X &lt;br /&gt;
P (-) &amp;gt; O&lt;br /&gt;
O (+) &amp;gt; X &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cognitive balance is achieved when there are three positive links or two negatives with one positive. Two positive links and one negative like the example above creates imbalance or [[cognitive dissonance]].&lt;br /&gt;
&lt;br /&gt;
Cognitive balance is achieved when there are three positive links or two negatives with one positive. Two positive links and one negative like the example above creates imbalance or cognitive dissonance.&lt;br /&gt;
&lt;br /&gt;
当有三个正面关联或两个负面关联与一个正面关联时，就会实现认知平衡。当有两个正面关联和一个负面关联时，像上面的例子一样，就会产生不平衡或认知失调。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Multiplying the signs shows that the person will perceive imbalance (a negative multiplicative product) in this relationship, and will be motivated to correct the imbalance somehow.  The Person can either:&lt;br /&gt;
&lt;br /&gt;
Multiplying the signs shows that the person will perceive imbalance (a negative multiplicative product) in this relationship, and will be motivated to correct the imbalance somehow.  The Person can either:&lt;br /&gt;
&lt;br /&gt;
不断增加的迹象表明，这个人会察觉到这种关系中的不平衡(一种负乘积效应) ，并且会主动以某种方式纠正这种不平衡。这个人可以:&lt;br /&gt;
&lt;br /&gt;
* Decide that &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; isn't bad,&lt;br /&gt;
&lt;br /&gt;
* Decide that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; isn't as great as originally thought, or&lt;br /&gt;
&lt;br /&gt;
* Conclude that &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; couldn't really have made &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
认为O并不是那么差；&lt;br /&gt;
认为X并不像原来想的那么好；&lt;br /&gt;
或者得出O不可能真的创造了X的结论。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Any of these will result in psychological balance, thus resolving the dilemma and satisfying the drive.  (Person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; could also avoid object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; entirely, lessening the stress created by psychological imbalance.)&lt;br /&gt;
&lt;br /&gt;
Any of these will result in psychological balance, thus resolving the dilemma and satisfying the drive.  (Person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; could also avoid object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; entirely, lessening the stress created by psychological imbalance.)&lt;br /&gt;
&lt;br /&gt;
其中任何一种都会导致心理平衡，从而解决困境、满足需求。(人P也可以完全避开对象X和另一个人O，减轻心理不平衡造成的压力。)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
To predict the outcome of a situation using Heider's balance theory, one must weigh the effects of all the potential results, and the one requiring the least amount of effort will be the likely outcome.&lt;br /&gt;
&lt;br /&gt;
To predict the outcome of a situation using Heider's balance theory, one must weigh the effects of all the potential results, and the one requiring the least amount of effort will be the likely outcome.&lt;br /&gt;
&lt;br /&gt;
要使用海德的平衡理论来预测一种情况的结果，必须权衡所有潜在结果的影响，而最不费力的将是可能的结果。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）[翻译反馈]而最不费力的将是可能的结果。 这句话似乎可以再优化&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Determining if the triad is balanced is simple math:&lt;br /&gt;
&lt;br /&gt;
Determining if the triad is balanced is simple math:&lt;br /&gt;
&lt;br /&gt;
判断三元组是否是平衡是简单的数学问题:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; + + + = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; + + + = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt; math &amp;gt; + + + = + &amp;lt;/math &amp;gt; ; Balanced.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; - + - = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; - + - = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt; math &amp;gt;-+-= + &amp;lt;/math &amp;gt; ; Balanced.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- + + = - ：平衡，&lt;br /&gt;
&lt;br /&gt;
- + + = - ：平衡，&lt;br /&gt;
&lt;br /&gt;
- + + = - ：不平衡。&lt;br /&gt;
&lt;br /&gt;
==Examples==&lt;br /&gt;
举例&lt;br /&gt;
&lt;br /&gt;
Balance theory is useful in examining how [[Testimonial|celebrity endorsement]] affects consumers' [[Attitude (psychology)|attitudes]] toward products.&amp;lt;ref&amp;gt;John C. Mowen and Stephen W. Brown (1981) ,&amp;quot;On Explaining and Predicting the Effectiveness of Celebrity Endorsers&amp;quot;, in Advances in Consumer Research Volume 08, eds. Kent B. Monroe, Advances in Consumer Research Volume 08 : Association for Consumer Research, Pages: 437-441.&amp;lt;/ref&amp;gt; If a person likes a celebrity and perceives (due to the endorsement) that said celebrity likes a product, said person will tend to like the product more, in order to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
Balance theory is useful in examining how celebrity endorsement affects consumers' attitudes toward products. If a person likes a celebrity and perceives (due to the endorsement) that said celebrity likes a product, said person will tend to like the product more, in order to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
平衡理论有助于研究名人代言如何影响消费者对产品的态度。如果一个人喜欢一个名人，并且认为（由于代言)该名人喜欢一个产品，那么这个人就会倾向于更喜欢该产品，以达到心理平衡。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
However, if the person already had a dislike for the product being endorsed by the celebrity, they may begin disliking the celebrity, again to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
However, if the person already had a dislike for the product being endorsed by the celebrity, they may begin disliking the celebrity, again to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
然而，如果这个人之前就不喜欢该名人代言的产品，他可能会开始讨厌这个名人，再次达到心理平衡。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Heider's balance theory can explain why holding the same negative attitudes of others promotes closeness.&amp;lt;ref name=GC&amp;gt;[[Gary Chartrand]] (1977) ''Graphs as Mathematical Models'', chapter 8: Graphs and Social Psychology, Prindle, Webber &amp;amp; Schmidt, {{ISBN|0-87150-236-4}}&amp;lt;/ref&amp;gt;{{rp|171}} See [[The enemy of my enemy is my friend]].&lt;br /&gt;
&lt;br /&gt;
Heider's balance theory can explain why holding the same negative attitudes of others promotes closeness. See The enemy of my enemy is my friend.&lt;br /&gt;
&lt;br /&gt;
海德的平衡理论可以解释为什么持有和他人相同的负面态度会促进亲近感。比如“敌人的敌人就是我的朋友”。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Signed graphs and social networks==&lt;br /&gt;
符号图和社会网络&lt;br /&gt;
&lt;br /&gt;
[[Frank Harary]] and Dorwin Cartwright looked at Heider's triads as 3-cycles in a [[signed graph]]. The sign of a [[path (graph theory)|path]] in a [[graph (discrete mathematics)|graph]] is the product of the signs of its edges. They considered [[cycle (graph theory)|cycle]]s in a signed graph representing a social network.&lt;br /&gt;
&lt;br /&gt;
Frank Harary and Dorwin Cartwright looked at Heider's triads as 3-cycles in a signed graph. The sign of a path in a graph is the product of the signs of its edges. They considered cycles in a signed graph representing a social network.&lt;br /&gt;
&lt;br /&gt;
弗兰克·哈拉里和多尔温·卡特赖特在将海德的三角形看作一个符号图中的三个循环。图中路径的符号是其边缘符号的乘积。他们考虑了代表社会网络的符号图中的循环。&lt;br /&gt;
&lt;br /&gt;
: A balanced signed graph has only cycles of positive signs.&lt;br /&gt;
&lt;br /&gt;
 A balanced signed graph has only cycles of positive signs.&lt;br /&gt;
&lt;br /&gt;
平衡的符号图中只有正符号的循环。&lt;br /&gt;
&lt;br /&gt;
Harary proved that a balanced graph is polarized, that is, it decomposes into two positive subgraphs that are joined by negative edges.&amp;lt;ref&amp;gt;[[Frank Harary]] (1953) [https://projecteuclid.org/euclid.mmj/1028989917 On the Notion of Balance of a Signed Graph], [[Michigan Mathematical Journal]] 2(2): 153–6 via [[Project Euclid]] {{mr|id=0067468}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Harary proved that a balanced graph is polarized, that is, it decomposes into two positive subgraphs that are joined by negative edges.&lt;br /&gt;
&lt;br /&gt;
哈拉里证明了一个平衡图是两极化的，即它分解成两个由负边连接的正子图。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the interest of realism, a weaker property was suggested by Davis:&amp;lt;ref&amp;gt;[[James A. Davis]] (May 1967) &amp;quot;Clustering and structural balance in graphs&amp;quot;, [[Human Relations]] 20:181–7&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In the interest of realism, a weaker property was suggested by Davis:&lt;br /&gt;
&lt;br /&gt;
戴维斯代表现实主义提出了一个较弱的属性:&lt;br /&gt;
&lt;br /&gt;
:No cycle has exactly one negative edge.&lt;br /&gt;
&lt;br /&gt;
No cycle has exactly one negative edge.&lt;br /&gt;
&lt;br /&gt;
没有一个循环恰好有一个负边。&lt;br /&gt;
&lt;br /&gt;
Graphs with this property may decompose into more than two positive subgraphs called '''clusters'''.&amp;lt;ref name=GC/&amp;gt;{{rp|179}} The property has been called the ''clusterability axiom''.&amp;lt;ref&amp;gt;Claude Flament (1979) &amp;quot;Independent generalizations of balance&amp;quot;, in ''Perspectives on Social Network Research''&amp;lt;/ref&amp;gt; Then balanced graphs are recovered by assuming the &lt;br /&gt;
&lt;br /&gt;
Graphs with this property may decompose into more than two positive subgraphs called clusters. Then balanced graphs are recovered by assuming the &lt;br /&gt;
&lt;br /&gt;
具有这种属性的图可以分解为两个以上称为集群的正子图。然后通过假定简约公理来复原平衡图表。&lt;br /&gt;
: Parsimony axiom: The subgraph of positive edges has at most two [[component (graph theory)|component]]s.&lt;br /&gt;
&lt;br /&gt;
 Parsimony axiom: The subgraph of positive edges has at most two components.&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 简约公理 Parsimony Axiom&amp;lt;/font&amp;gt;''': 正边子图最多有两个分支。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The significance of balance theory for [[social dynamics]] was expressed by [[Anatol Rapoport]]:&lt;br /&gt;
&lt;br /&gt;
The significance of balance theory for social dynamics was expressed by Anatol Rapoport:&lt;br /&gt;
&lt;br /&gt;
平衡理论对社会动力学的意义由阿纳托尔·拉波波特提出:&lt;br /&gt;
:The hypothesis implies roughly that attitudes of the group members will tend to change in such a way that one's [[friend of a friend|friends' friends]] will tend to become one's friends and one's enemies' enemies also one's friends, and one's enemies' friends and one's friends' enemies will tend to become one's enemies, and moreover, that these changes tend to operate even across several removes (one's friends' friends' enemies' enemies tend to become friends by an iterative process).&amp;lt;ref&amp;gt;[[Anatol Rapoport]] (1963) &amp;quot;Mathematical models of social interaction&amp;quot;, in [https://archive.org/details/handbookofmathem017893mbp ''Handbook of Mathematical Psychology'', v. 2], pp 493 to 580, especially 541, editors: R.A. Galanter, R.R. Lace, E. Bush, [[John Wiley &amp;amp; Sons]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The hypothesis implies roughly that attitudes of the group members will tend to change in such a way that one's friends' friends will tend to become one's friends and one's enemies' enemies also one's friends, and one's enemies' friends and one's friends' enemies will tend to become one's enemies, and moreover, that these changes tend to operate even across several removes (one's friends' friends' enemies' enemies tend to become friends by an iterative process).&lt;br /&gt;
&lt;br /&gt;
这个假设大致意味着群体成员的态度将倾向于这样的改变: 一个人的朋友的朋友倾向于变成这个人的朋友，一个人的敌人的敌人也倾向于变成这个人的朋友，一个人的敌人的朋友和一个人的朋友的敌人也倾向于变成一这个人的敌人，而且，这些改变甚至会跨越几个间距发生(一个人的朋友的朋友的敌人的敌人也会通过一个迭代过程变成朋友)。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】“这个假设大致意味着群体成员的态度将倾向于这样的改变”中的“这个假设”或者可以具体的指代一下  补出“平衡理论”&lt;br /&gt;
Note that a triangle of three mutual enemies makes a clusterable graph but ''not'' a balanced one. Therefore, in a clusterable network one ''cannot'' conclude that [[the enemy of my enemy is my friend]], although this aphorism is a fact in a balanced network.&lt;br /&gt;
&lt;br /&gt;
Note that a triangle of three mutual enemies makes a clusterable graph but not a balanced one. Therefore, in a clusterable network one cannot conclude that the enemy of my enemy is my friend, although this aphorism is a fact in a balanced network.&lt;br /&gt;
&lt;br /&gt;
请注意，由三个共同的敌人组成的三角形形成的是一个可集群的图，而不是一个平衡图。因此，在一个可集群的网络中，我们不能得出“敌人的敌人就是我的朋友”的结论，尽管这句格言在平衡的网络中是事实。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】可集群的网络 搜索浏览器发现有“集群网络”这种说法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Criticism===&lt;br /&gt;
批评&lt;br /&gt;
&lt;br /&gt;
Claude Flament&amp;lt;ref&amp;gt;Claude Flament (1963) ''Application of Graph Theory to Group Structure'', translators Maurice Pinard, Raymond Breton, Fernand Fontaine, chapter 3: Balancing Processes, page 92, [[Prentice-Hall]]&amp;lt;/ref&amp;gt; expressed a limit to balance theory imposed by reconciling [[weak ties]] with relationships of stronger force such as [[human bonding|family bonds]]:&lt;br /&gt;
&lt;br /&gt;
Claude Flament expressed a limit to balance theory imposed by reconciling weak ties with relationships of stronger force such as family bonds:&lt;br /&gt;
&lt;br /&gt;
克劳德·弗兰特通过调和弱关系与强关系(如家庭纽带)之间的关系，阐述了平衡理论的一种限制:&lt;br /&gt;
&lt;br /&gt;
:One might think that a [[graph (abstract data type)|valued algebraic graph]] is necessary to represent psycho-social reality, if it is to take into account the degree of intensity of interpersonal relationships. But in fact it then seems hardly possible to define the balance of a graph, not for mathematical but for psychological reasons. If the relationship ''AB'' is +3, the relationship ''BC'' is –4, what should the ''AC'' relationship be in order that the triangle be balanced? The psychological hypotheses are wanting, or rather they are numerous and little justified.&lt;br /&gt;
&lt;br /&gt;
One might think that a valued algebraic graph is necessary to represent psycho-social reality, if it is to take into account the degree of intensity of interpersonal relationships. But in fact it then seems hardly possible to define the balance of a graph, not for mathematical but for psychological reasons. If the relationship AB is +3, the relationship BC is –4, what should the AC relationship be in order that the triangle be balanced? The psychological hypotheses are wanting, or rather they are numerous and little justified.&lt;br /&gt;
&lt;br /&gt;
如果要考虑人际关系的紧张程度，人们可能会认为有必要用一个有价值的代数图来表示心理社会现实。但事实上，定义一个图表的平衡似乎几近不可能，不是出于数学上的原因，而是出于心理学上的原因。如果 AB 的关系是 + 3，BC 的关系是-4，那么 AC 的关系应该是什么才能使三角形平衡？心理学上的假设是匮乏的，或者更确切地说，这些假设数量众多缺乏合理性。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】“定义一个图表的平衡似乎几近不可能” 该句是否没有经过人工翻译 似乎几近是否重复？&lt;br /&gt;
&lt;br /&gt;
At the 1975 Dartmouth College colloquium on balance theory, Bo Anderson struck at the heart of the notion:&amp;lt;ref&amp;gt;Bo Anderson (1979) &amp;quot;Cognitive Balance Theory and Social Network Analysis: Remarks on some fundamental theoretical matters&amp;quot;, pages 453 to 69 in ''Perspectives on Social Network Research'', see page 462.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
At the 1975 Dartmouth College colloquium on balance theory, Bo Anderson struck at the heart of the notion:&lt;br /&gt;
&lt;br /&gt;
在1975年达特茅斯学院关于平衡理论的座谈会上，波·安德森一针见血地指出了这个概念的核心：&lt;br /&gt;
&lt;br /&gt;
:In graph theory there exists a ''formal'' balance theory that contains theorems that are ''analytically'' true. The statement that Heider's ''psychological'' balance can be represented, in its essential aspects, by a suitable interpretation of that ''formal balance theory'' should, however, be regarded as problematical. We cannot routinely identify the positive and negative lines in the formal theory with the positive and negative &amp;quot;sentiment relations&amp;quot;, and identify the formal balance notion with the ''psychological'' idea of balance or structural tension. .. It is puzzling that the fine structure of the relationships between formal and psychological balance has been given scant attention by balance theorists.&lt;br /&gt;
&lt;br /&gt;
In graph theory there exists a formal balance theory that contains theorems that are analytically true. The statement that Heider's psychological balance can be represented, in its essential aspects, by a suitable interpretation of that formal balance theory should, however, be regarded as problematical. We cannot routinely identify the positive and negative lines in the formal theory with the positive and negative &amp;quot;sentiment relations&amp;quot;, and identify the formal balance notion with the psychological idea of balance or structural tension. .. It is puzzling that the fine structure of the relationships between formal and psychological balance has been given scant attention by balance theorists.&lt;br /&gt;
&lt;br /&gt;
在图表理论中，有一种形式的平衡理论，存在着一种形式上的平衡理论。然而，关于海德尔的心理平衡可以通过对该形式平衡理论的适当解释来体现其本质方面的说法，应该被视为是有问题的。我们不能常规地将形式理论中的正负线与正负的 &amp;quot;情感关系 &amp;quot;相区分，也不能将形式平衡概念与平衡或结构张力的心理学思想相区分。......令人费解的是，形式平衡与心理平衡关系的细微结构却很少受到平衡理论家的关注。&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
请参阅&lt;br /&gt;
&lt;br /&gt;
{{Portal|Psychology|Society}}&lt;br /&gt;
&lt;br /&gt;
* [[Information integration theory]]&lt;br /&gt;
&lt;br /&gt;
* [[Social balance theory]]&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】see also部分忘记翻译&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】上述提出的讨论问题修改后即可删除 下次再次翻译审核时我会注意是否再次出现同样的问题  下次翻译注意一下完整性和规范性~&lt;br /&gt;
&lt;br /&gt;
== Notes ==&lt;br /&gt;
标注&lt;br /&gt;
&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
参考&lt;br /&gt;
&lt;br /&gt;
{{Refbegin}}&lt;br /&gt;
&lt;br /&gt;
* {{cite journal |&lt;br /&gt;
&lt;br /&gt;
   last=Heider |&lt;br /&gt;
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   last=Heider |&lt;br /&gt;
&lt;br /&gt;
2012年10月12日&lt;br /&gt;
&lt;br /&gt;
   first=Fritz |&lt;br /&gt;
&lt;br /&gt;
   first=Fritz |&lt;br /&gt;
&lt;br /&gt;
第一个 = Fritz | &lt;br /&gt;
&lt;br /&gt;
   authorlink = Fritz Heider  | &lt;br /&gt;
&lt;br /&gt;
   authorlink = Fritz Heider  | &lt;br /&gt;
&lt;br /&gt;
弗里茨 · 海德 | &lt;br /&gt;
&lt;br /&gt;
   title=Attitudes and Cognitive Organization |&lt;br /&gt;
&lt;br /&gt;
   title=Attitudes and Cognitive Organization |&lt;br /&gt;
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态度和认知组织 | &lt;br /&gt;
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   journal=The Journal of Psychology |&lt;br /&gt;
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   journal=The Journal of Psychology |&lt;br /&gt;
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心理学杂志 | &lt;br /&gt;
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   volume=21 |&lt;br /&gt;
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   volume=21 |&lt;br /&gt;
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21 | &lt;br /&gt;
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   year=1946 |&lt;br /&gt;
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   year=1946 |&lt;br /&gt;
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1946年&lt;br /&gt;
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   pages=107–112&lt;br /&gt;
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   pages=107–112&lt;br /&gt;
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页数 = 107-112&lt;br /&gt;
&lt;br /&gt;
 |doi=10.1080/00223980.1946.9917275&lt;br /&gt;
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 |doi=10.1080/00223980.1946.9917275&lt;br /&gt;
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| doi = 10.1080/00223980.1946.9917275&lt;br /&gt;
&lt;br /&gt;
 |pmid=21010780}}&lt;br /&gt;
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 |pmid=21010780}}&lt;br /&gt;
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21010780}&lt;br /&gt;
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* Cartwright, D. and [[Frank Harary]] (1956)[http://snap.stanford.edu/class/cs224w-readings/cartwright56balance.pdf Structural balance: a generalization of Heider's theory],  [[Psychological Review]] 63: 277–293 link from [[Stanford University]]&lt;br /&gt;
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{{Refend}}&lt;br /&gt;
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{{DEFAULTSORT:Balance Theory}}&lt;br /&gt;
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[[Category:Attitude change]]&lt;br /&gt;
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Category:Attitude change&lt;br /&gt;
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类别: 态度转变&lt;br /&gt;
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[[Category:Psychological theories]]&lt;br /&gt;
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Category:Psychological theories&lt;br /&gt;
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范畴: 心理学理论&lt;br /&gt;
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[[Category:Social networks]]&lt;br /&gt;
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Category:Social networks&lt;br /&gt;
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分类: 社交网络&lt;br /&gt;
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[[Category:Methods in sociology]]&lt;br /&gt;
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Category:Methods in sociology&lt;br /&gt;
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范畴: 社会学方法&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Balance theory]]. Its edit history can be viewed at [[平衡理论/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B9%B3%E8%A1%A1%E7%90%86%E8%AE%BA&amp;diff=14390</id>
		<title>平衡理论</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B9%B3%E8%A1%A1%E7%90%86%E8%AE%BA&amp;diff=14390"/>
		<updated>2020-09-26T07:20:58Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Signed graphs and social networks */&lt;/p&gt;
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&lt;div&gt;本词条由11初步翻译&lt;br /&gt;
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In the [[psychology]] of [[motivation]], '''balance theory''' is a theory of [[attitude change]], proposed by [[Fritz Heider]].&amp;lt;ref&amp;gt;Heider, Fritz (1958). ''The Psychology of Interpersonal Relations''. John Wiley &amp;amp; Sons.&amp;lt;/ref&amp;gt; It conceptualizes the [[cognitive consistency]] motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time.  Heider proposed that &amp;quot;sentiment&amp;quot; or liking relationships are balanced if the [[affect (psychology)|affect]] [[valence (psychology)|valence]] in a system multiplies out to a positive result.&lt;br /&gt;
&lt;br /&gt;
In the psychology of motivation, balance theory is a theory of attitude change, proposed by Fritz Heider. It conceptualizes the cognitive consistency motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time.  Heider proposed that &amp;quot;sentiment&amp;quot; or liking relationships are balanced if the affect valence in a system multiplies out to a positive result.&lt;br /&gt;
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在动机心理学中，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 平衡理论 Balance Theory&amp;lt;/font&amp;gt;'''是弗里茨·海德提出的一种态度变化理论。它将认知一致性动机概念化为一种促使心理平衡的驱动力。一致性动机是长期维持一个人的价值观和信仰的强烈愿望。海德提出，如果一个系统中的情感效价翻倍后得到积极的结果，那么“情感”或喜爱关系就是平衡的。&lt;br /&gt;
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In [[social network analysis]], balance theory is the extension proposed by [[Frank Harary]] and Dorwin Cartwright.  It was the framework for the discussion at a [[Dartmouth College]] symposium in September 1975.&amp;lt;ref&amp;gt;Paul W. Holland &amp;amp; Samuel Leinhardt (editors) (1979) ''Perspectives on Social Network Research'', [[Academic Press]] {{ISBN|9780123525505}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In social network analysis, balance theory is the extension proposed by Frank Harary and Dorwin Cartwright.  It was the framework for the discussion at a Dartmouth College symposium in September 1975.&lt;br /&gt;
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在社会网络分析中，平衡理论是由弗兰克·哈拉里和多尔文·卡特赖特提出的。这是1975年9月达特茅斯学院研讨会讨论的框架。&lt;br /&gt;
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==P-O-X model==&lt;br /&gt;
P-O-X模型&lt;br /&gt;
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[[File:Pox.jpg|thumb|Heider's P-O-X model]]&lt;br /&gt;
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Heider's P-O-X model&lt;br /&gt;
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海德的 P-O-X 模型&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）[翻译反馈]注意图注的格式  【图1：英文原文＋翻译内容】&lt;br /&gt;
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For example: a Person (&amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt;) who likes (&amp;lt;math&amp;gt;+&amp;lt;/math&amp;gt;) an Other (&amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;) person will be balanced by the same valence attitude on behalf of the other.  Symbolically, &amp;lt;math&amp;gt;P (+) &amp;gt; O&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P &amp;lt; (+) O&amp;lt;/math&amp;gt; results in psychological balance.&lt;br /&gt;
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For example: a Person (&amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt;) who likes (&amp;lt;math&amp;gt;+&amp;lt;/math&amp;gt;) an Other (&amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;) person will be balanced by the same valence attitude on behalf of the other.  Symbolically, &amp;lt;math&amp;gt;P (+) &amp;gt; O&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P &amp;lt; (+) O&amp;lt;/math&amp;gt; results in psychological balance.&lt;br /&gt;
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例如: 一个喜欢另一个人(O)的人(P)，会被代表他人的相同价态平衡。从符号上看， P(+)&amp;gt;O和P&amp;lt;(+)O导致了心理平衡。&lt;br /&gt;
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This can be extended to things or objects (&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) as well, thus introducing [[triadic relation]]ships.  If a person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; likes object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; but dislikes other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;, what does &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; feel upon learning that person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; created the object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;?  This is symbolized as such:&lt;br /&gt;
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This can be extended to things or objects (&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) as well, thus introducing triadic relationships.  If a person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; likes object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; but dislikes other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;, what does &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; feel upon learning that person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; created the object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;?  This is symbolized as such:&lt;br /&gt;
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这也可以扩展到事物或对象(X)，从而引入三元关系。如果一个人P喜欢物体X但不喜欢另一个人O，那么当P得知这个人O创造了物体O会有什么感受？这用符号表示如下:&lt;br /&gt;
&lt;br /&gt;
P (+) &amp;gt; X &lt;br /&gt;
P (-) &amp;gt; O&lt;br /&gt;
O (+) &amp;gt; X &lt;br /&gt;
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Cognitive balance is achieved when there are three positive links or two negatives with one positive. Two positive links and one negative like the example above creates imbalance or [[cognitive dissonance]].&lt;br /&gt;
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Cognitive balance is achieved when there are three positive links or two negatives with one positive. Two positive links and one negative like the example above creates imbalance or cognitive dissonance.&lt;br /&gt;
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当有三个正面关联或两个负面关联与一个正面关联时，就会实现认知平衡。当有两个正面关联和一个负面关联时，像上面的例子一样，就会产生不平衡或认知失调。&lt;br /&gt;
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Multiplying the signs shows that the person will perceive imbalance (a negative multiplicative product) in this relationship, and will be motivated to correct the imbalance somehow.  The Person can either:&lt;br /&gt;
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Multiplying the signs shows that the person will perceive imbalance (a negative multiplicative product) in this relationship, and will be motivated to correct the imbalance somehow.  The Person can either:&lt;br /&gt;
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不断增加的迹象表明，这个人会察觉到这种关系中的不平衡(一种负乘积效应) ，并且会主动以某种方式纠正这种不平衡。这个人可以:&lt;br /&gt;
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* Decide that &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; isn't bad,&lt;br /&gt;
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* Decide that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; isn't as great as originally thought, or&lt;br /&gt;
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* Conclude that &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; couldn't really have made &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;.&lt;br /&gt;
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认为O并不是那么差；&lt;br /&gt;
认为X并不像原来想的那么好；&lt;br /&gt;
或者得出O不可能真的创造了X的结论。&lt;br /&gt;
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Any of these will result in psychological balance, thus resolving the dilemma and satisfying the drive.  (Person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; could also avoid object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; entirely, lessening the stress created by psychological imbalance.)&lt;br /&gt;
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Any of these will result in psychological balance, thus resolving the dilemma and satisfying the drive.  (Person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; could also avoid object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; entirely, lessening the stress created by psychological imbalance.)&lt;br /&gt;
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其中任何一种都会导致心理平衡，从而解决困境、满足需求。(人P也可以完全避开对象X和另一个人O，减轻心理不平衡造成的压力。)&lt;br /&gt;
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To predict the outcome of a situation using Heider's balance theory, one must weigh the effects of all the potential results, and the one requiring the least amount of effort will be the likely outcome.&lt;br /&gt;
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To predict the outcome of a situation using Heider's balance theory, one must weigh the effects of all the potential results, and the one requiring the least amount of effort will be the likely outcome.&lt;br /&gt;
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要使用海德的平衡理论来预测一种情况的结果，必须权衡所有潜在结果的影响，而最不费力的将是可能的结果。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）[翻译反馈]而最不费力的将是可能的结果。 这句话似乎可以再优化&lt;br /&gt;
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Determining if the triad is balanced is simple math:&lt;br /&gt;
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Determining if the triad is balanced is simple math:&lt;br /&gt;
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判断三元组是否是平衡是简单的数学问题:&lt;br /&gt;
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&amp;lt;math&amp;gt; + + + = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
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&amp;lt;math&amp;gt; + + + = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
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&amp;lt; math &amp;gt; + + + = + &amp;lt;/math &amp;gt; ; Balanced.&lt;br /&gt;
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&amp;lt;math&amp;gt; - + - = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
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&amp;lt;math&amp;gt; - + - = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
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&amp;lt; math &amp;gt;-+-= + &amp;lt;/math &amp;gt; ; Balanced.&lt;br /&gt;
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- + + = - ：平衡，&lt;br /&gt;
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- + + = - ：平衡，&lt;br /&gt;
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- + + = - ：不平衡。&lt;br /&gt;
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==Examples==&lt;br /&gt;
举例&lt;br /&gt;
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Balance theory is useful in examining how [[Testimonial|celebrity endorsement]] affects consumers' [[Attitude (psychology)|attitudes]] toward products.&amp;lt;ref&amp;gt;John C. Mowen and Stephen W. Brown (1981) ,&amp;quot;On Explaining and Predicting the Effectiveness of Celebrity Endorsers&amp;quot;, in Advances in Consumer Research Volume 08, eds. Kent B. Monroe, Advances in Consumer Research Volume 08 : Association for Consumer Research, Pages: 437-441.&amp;lt;/ref&amp;gt; If a person likes a celebrity and perceives (due to the endorsement) that said celebrity likes a product, said person will tend to like the product more, in order to achieve psychological balance.&lt;br /&gt;
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Balance theory is useful in examining how celebrity endorsement affects consumers' attitudes toward products. If a person likes a celebrity and perceives (due to the endorsement) that said celebrity likes a product, said person will tend to like the product more, in order to achieve psychological balance.&lt;br /&gt;
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平衡理论有助于研究名人代言如何影响消费者对产品的态度。如果一个人喜欢一个名人，并且认为（由于代言)该名人喜欢一个产品，那么这个人就会倾向于更喜欢该产品，以达到心理平衡。&lt;br /&gt;
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However, if the person already had a dislike for the product being endorsed by the celebrity, they may begin disliking the celebrity, again to achieve psychological balance.&lt;br /&gt;
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However, if the person already had a dislike for the product being endorsed by the celebrity, they may begin disliking the celebrity, again to achieve psychological balance.&lt;br /&gt;
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然而，如果这个人之前就不喜欢该名人代言的产品，他可能会开始讨厌这个名人，再次达到心理平衡。&lt;br /&gt;
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Heider's balance theory can explain why holding the same negative attitudes of others promotes closeness.&amp;lt;ref name=GC&amp;gt;[[Gary Chartrand]] (1977) ''Graphs as Mathematical Models'', chapter 8: Graphs and Social Psychology, Prindle, Webber &amp;amp; Schmidt, {{ISBN|0-87150-236-4}}&amp;lt;/ref&amp;gt;{{rp|171}} See [[The enemy of my enemy is my friend]].&lt;br /&gt;
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Heider's balance theory can explain why holding the same negative attitudes of others promotes closeness. See The enemy of my enemy is my friend.&lt;br /&gt;
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海德的平衡理论可以解释为什么持有和他人相同的负面态度会促进亲近感。比如“敌人的敌人就是我的朋友”。&lt;br /&gt;
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==Signed graphs and social networks==&lt;br /&gt;
符号图和社会网络&lt;br /&gt;
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[[Frank Harary]] and Dorwin Cartwright looked at Heider's triads as 3-cycles in a [[signed graph]]. The sign of a [[path (graph theory)|path]] in a [[graph (discrete mathematics)|graph]] is the product of the signs of its edges. They considered [[cycle (graph theory)|cycle]]s in a signed graph representing a social network.&lt;br /&gt;
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Frank Harary and Dorwin Cartwright looked at Heider's triads as 3-cycles in a signed graph. The sign of a path in a graph is the product of the signs of its edges. They considered cycles in a signed graph representing a social network.&lt;br /&gt;
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弗兰克·哈拉里和多尔温·卡特赖特在将海德的三角形看作一个符号图中的三个循环。图中路径的符号是其边缘符号的乘积。他们考虑了代表社会网络的符号图中的循环。&lt;br /&gt;
&lt;br /&gt;
: A balanced signed graph has only cycles of positive signs.&lt;br /&gt;
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 A balanced signed graph has only cycles of positive signs.&lt;br /&gt;
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平衡的符号图中只有正符号的循环。&lt;br /&gt;
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Harary proved that a balanced graph is polarized, that is, it decomposes into two positive subgraphs that are joined by negative edges.&amp;lt;ref&amp;gt;[[Frank Harary]] (1953) [https://projecteuclid.org/euclid.mmj/1028989917 On the Notion of Balance of a Signed Graph], [[Michigan Mathematical Journal]] 2(2): 153–6 via [[Project Euclid]] {{mr|id=0067468}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Harary proved that a balanced graph is polarized, that is, it decomposes into two positive subgraphs that are joined by negative edges.&lt;br /&gt;
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哈拉里证明了一个平衡图是两极化的，即它分解成两个由负边连接的正子图。&lt;br /&gt;
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In the interest of realism, a weaker property was suggested by Davis:&amp;lt;ref&amp;gt;[[James A. Davis]] (May 1967) &amp;quot;Clustering and structural balance in graphs&amp;quot;, [[Human Relations]] 20:181–7&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In the interest of realism, a weaker property was suggested by Davis:&lt;br /&gt;
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戴维斯代表现实主义提出了一个较弱的属性:&lt;br /&gt;
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:No cycle has exactly one negative edge.&lt;br /&gt;
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No cycle has exactly one negative edge.&lt;br /&gt;
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没有一个循环恰好有一个负边。&lt;br /&gt;
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Graphs with this property may decompose into more than two positive subgraphs called '''clusters'''.&amp;lt;ref name=GC/&amp;gt;{{rp|179}} The property has been called the ''clusterability axiom''.&amp;lt;ref&amp;gt;Claude Flament (1979) &amp;quot;Independent generalizations of balance&amp;quot;, in ''Perspectives on Social Network Research''&amp;lt;/ref&amp;gt; Then balanced graphs are recovered by assuming the &lt;br /&gt;
&lt;br /&gt;
Graphs with this property may decompose into more than two positive subgraphs called clusters. Then balanced graphs are recovered by assuming the &lt;br /&gt;
&lt;br /&gt;
具有这种属性的图可以分解为两个以上称为集群的正子图。然后通过假定简约公理来复原平衡图表。&lt;br /&gt;
: Parsimony axiom: The subgraph of positive edges has at most two [[component (graph theory)|component]]s.&lt;br /&gt;
&lt;br /&gt;
 Parsimony axiom: The subgraph of positive edges has at most two components.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 简约公理 Parsimony Axiom&amp;lt;/font&amp;gt;''': 正边子图最多有两个分支。&lt;br /&gt;
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The significance of balance theory for [[social dynamics]] was expressed by [[Anatol Rapoport]]:&lt;br /&gt;
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The significance of balance theory for social dynamics was expressed by Anatol Rapoport:&lt;br /&gt;
&lt;br /&gt;
平衡理论对社会动力学的意义由阿纳托尔·拉波波特提出:&lt;br /&gt;
:The hypothesis implies roughly that attitudes of the group members will tend to change in such a way that one's [[friend of a friend|friends' friends]] will tend to become one's friends and one's enemies' enemies also one's friends, and one's enemies' friends and one's friends' enemies will tend to become one's enemies, and moreover, that these changes tend to operate even across several removes (one's friends' friends' enemies' enemies tend to become friends by an iterative process).&amp;lt;ref&amp;gt;[[Anatol Rapoport]] (1963) &amp;quot;Mathematical models of social interaction&amp;quot;, in [https://archive.org/details/handbookofmathem017893mbp ''Handbook of Mathematical Psychology'', v. 2], pp 493 to 580, especially 541, editors: R.A. Galanter, R.R. Lace, E. Bush, [[John Wiley &amp;amp; Sons]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The hypothesis implies roughly that attitudes of the group members will tend to change in such a way that one's friends' friends will tend to become one's friends and one's enemies' enemies also one's friends, and one's enemies' friends and one's friends' enemies will tend to become one's enemies, and moreover, that these changes tend to operate even across several removes (one's friends' friends' enemies' enemies tend to become friends by an iterative process).&lt;br /&gt;
&lt;br /&gt;
这个假设大致意味着群体成员的态度将倾向于这样的改变: 一个人的朋友的朋友倾向于变成这个人的朋友，一个人的敌人的敌人也倾向于变成这个人的朋友，一个人的敌人的朋友和一个人的朋友的敌人也倾向于变成一这个人的敌人，而且，这些改变甚至会跨越几个间距发生(一个人的朋友的朋友的敌人的敌人也会通过一个迭代过程变成朋友)。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】“这个假设大致意味着群体成员的态度将倾向于这样的改变”中的“这个假设”或者可以具体的指代一下  补出“平衡理论”&lt;br /&gt;
Note that a triangle of three mutual enemies makes a clusterable graph but ''not'' a balanced one. Therefore, in a clusterable network one ''cannot'' conclude that [[the enemy of my enemy is my friend]], although this aphorism is a fact in a balanced network.&lt;br /&gt;
&lt;br /&gt;
Note that a triangle of three mutual enemies makes a clusterable graph but not a balanced one. Therefore, in a clusterable network one cannot conclude that the enemy of my enemy is my friend, although this aphorism is a fact in a balanced network.&lt;br /&gt;
&lt;br /&gt;
请注意，由三个共同的敌人组成的三角形形成的是一个可集群的图，而不是一个平衡图。因此，在一个可集群的网络中，我们不能得出“敌人的敌人就是我的朋友”的结论，尽管这句格言在平衡的网络中是事实。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】可集群的网络 搜索浏览器发现有“集群网络”这种说法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Criticism===&lt;br /&gt;
批评&lt;br /&gt;
&lt;br /&gt;
Claude Flament&amp;lt;ref&amp;gt;Claude Flament (1963) ''Application of Graph Theory to Group Structure'', translators Maurice Pinard, Raymond Breton, Fernand Fontaine, chapter 3: Balancing Processes, page 92, [[Prentice-Hall]]&amp;lt;/ref&amp;gt; expressed a limit to balance theory imposed by reconciling [[weak ties]] with relationships of stronger force such as [[human bonding|family bonds]]:&lt;br /&gt;
&lt;br /&gt;
Claude Flament expressed a limit to balance theory imposed by reconciling weak ties with relationships of stronger force such as family bonds:&lt;br /&gt;
&lt;br /&gt;
克劳德·弗兰特通过调和弱关系与强关系(如家庭纽带)之间的关系，阐述了平衡理论的一种限制:&lt;br /&gt;
&lt;br /&gt;
:One might think that a [[graph (abstract data type)|valued algebraic graph]] is necessary to represent psycho-social reality, if it is to take into account the degree of intensity of interpersonal relationships. But in fact it then seems hardly possible to define the balance of a graph, not for mathematical but for psychological reasons. If the relationship ''AB'' is +3, the relationship ''BC'' is –4, what should the ''AC'' relationship be in order that the triangle be balanced? The psychological hypotheses are wanting, or rather they are numerous and little justified.&lt;br /&gt;
&lt;br /&gt;
One might think that a valued algebraic graph is necessary to represent psycho-social reality, if it is to take into account the degree of intensity of interpersonal relationships. But in fact it then seems hardly possible to define the balance of a graph, not for mathematical but for psychological reasons. If the relationship AB is +3, the relationship BC is –4, what should the AC relationship be in order that the triangle be balanced? The psychological hypotheses are wanting, or rather they are numerous and little justified.&lt;br /&gt;
&lt;br /&gt;
如果要考虑人际关系的紧张程度，人们可能会认为有必要用一个有价值的代数图来表示心理社会现实。但事实上，定义一个图表的平衡似乎几近不可能，不是出于数学上的原因，而是出于心理学上的原因。如果 AB 的关系是 + 3，BC 的关系是-4，那么 AC 的关系应该是什么才能使三角形平衡？心理学上的假设是匮乏的，或者更确切地说，这些假设数量众多缺乏合理性。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）【翻译反馈】“定义一个图表的平衡似乎几近不可能” 该句是否没有经过人工翻译 似乎几近是否重复？&lt;br /&gt;
&lt;br /&gt;
At the 1975 Dartmouth College colloquium on balance theory, Bo Anderson struck at the heart of the notion:&amp;lt;ref&amp;gt;Bo Anderson (1979) &amp;quot;Cognitive Balance Theory and Social Network Analysis: Remarks on some fundamental theoretical matters&amp;quot;, pages 453 to 69 in ''Perspectives on Social Network Research'', see page 462.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
At the 1975 Dartmouth College colloquium on balance theory, Bo Anderson struck at the heart of the notion:&lt;br /&gt;
&lt;br /&gt;
在1975年达特茅斯学院关于平衡理论的座谈会上，波·安德森一针见血地指出了这个概念的核心：&lt;br /&gt;
&lt;br /&gt;
:In graph theory there exists a ''formal'' balance theory that contains theorems that are ''analytically'' true. The statement that Heider's ''psychological'' balance can be represented, in its essential aspects, by a suitable interpretation of that ''formal balance theory'' should, however, be regarded as problematical. We cannot routinely identify the positive and negative lines in the formal theory with the positive and negative &amp;quot;sentiment relations&amp;quot;, and identify the formal balance notion with the ''psychological'' idea of balance or structural tension. .. It is puzzling that the fine structure of the relationships between formal and psychological balance has been given scant attention by balance theorists.&lt;br /&gt;
&lt;br /&gt;
In graph theory there exists a formal balance theory that contains theorems that are analytically true. The statement that Heider's psychological balance can be represented, in its essential aspects, by a suitable interpretation of that formal balance theory should, however, be regarded as problematical. We cannot routinely identify the positive and negative lines in the formal theory with the positive and negative &amp;quot;sentiment relations&amp;quot;, and identify the formal balance notion with the psychological idea of balance or structural tension. .. It is puzzling that the fine structure of the relationships between formal and psychological balance has been given scant attention by balance theorists.&lt;br /&gt;
&lt;br /&gt;
在图表理论中，有一种形式的平衡理论，存在着一种形式上的平衡理论。然而，关于海德尔的心理平衡可以通过对该形式平衡理论的适当解释来体现其本质方面的说法，应该被视为是有问题的。我们不能常规地将形式理论中的正负线与正负的 &amp;quot;情感关系 &amp;quot;相区分，也不能将形式平衡概念与平衡或结构张力的心理学思想相区分。......令人费解的是，形式平衡与心理平衡关系的细微结构却很少受到平衡理论家的关注。&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
请参阅&lt;br /&gt;
&lt;br /&gt;
{{Portal|Psychology|Society}}&lt;br /&gt;
&lt;br /&gt;
* [[Information integration theory]]&lt;br /&gt;
&lt;br /&gt;
* [[Social balance theory]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Notes ==&lt;br /&gt;
标注&lt;br /&gt;
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{{Reflist}}&lt;br /&gt;
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== References ==&lt;br /&gt;
参考&lt;br /&gt;
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{{Refbegin}}&lt;br /&gt;
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* {{cite journal |&lt;br /&gt;
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   last=Heider |&lt;br /&gt;
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   first=Fritz |&lt;br /&gt;
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第一个 = Fritz | &lt;br /&gt;
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   authorlink = Fritz Heider  | &lt;br /&gt;
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   authorlink = Fritz Heider  | &lt;br /&gt;
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弗里茨 · 海德 | &lt;br /&gt;
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   title=Attitudes and Cognitive Organization |&lt;br /&gt;
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   title=Attitudes and Cognitive Organization |&lt;br /&gt;
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态度和认知组织 | &lt;br /&gt;
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   journal=The Journal of Psychology |&lt;br /&gt;
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   journal=The Journal of Psychology |&lt;br /&gt;
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心理学杂志 | &lt;br /&gt;
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   volume=21 |&lt;br /&gt;
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   volume=21 |&lt;br /&gt;
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21 | &lt;br /&gt;
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   year=1946 |&lt;br /&gt;
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   year=1946 |&lt;br /&gt;
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1946年&lt;br /&gt;
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   pages=107–112&lt;br /&gt;
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   pages=107–112&lt;br /&gt;
&lt;br /&gt;
页数 = 107-112&lt;br /&gt;
&lt;br /&gt;
 |doi=10.1080/00223980.1946.9917275&lt;br /&gt;
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 |doi=10.1080/00223980.1946.9917275&lt;br /&gt;
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| doi = 10.1080/00223980.1946.9917275&lt;br /&gt;
&lt;br /&gt;
 |pmid=21010780}}&lt;br /&gt;
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 |pmid=21010780}}&lt;br /&gt;
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21010780}&lt;br /&gt;
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* Cartwright, D. and [[Frank Harary]] (1956)[http://snap.stanford.edu/class/cs224w-readings/cartwright56balance.pdf Structural balance: a generalization of Heider's theory],  [[Psychological Review]] 63: 277–293 link from [[Stanford University]]&lt;br /&gt;
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{{Refend}}&lt;br /&gt;
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{{DEFAULTSORT:Balance Theory}}&lt;br /&gt;
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[[Category:Attitude change]]&lt;br /&gt;
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Category:Attitude change&lt;br /&gt;
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类别: 态度转变&lt;br /&gt;
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[[Category:Psychological theories]]&lt;br /&gt;
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Category:Psychological theories&lt;br /&gt;
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范畴: 心理学理论&lt;br /&gt;
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[[Category:Social networks]]&lt;br /&gt;
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Category:Social networks&lt;br /&gt;
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分类: 社交网络&lt;br /&gt;
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[[Category:Methods in sociology]]&lt;br /&gt;
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Category:Methods in sociology&lt;br /&gt;
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范畴: 社会学方法&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Balance theory]]. Its edit history can be viewed at [[平衡理论/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B9%B3%E8%A1%A1%E7%90%86%E8%AE%BA&amp;diff=14389</id>
		<title>平衡理论</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B9%B3%E8%A1%A1%E7%90%86%E8%AE%BA&amp;diff=14389"/>
		<updated>2020-09-26T07:15:10Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* P-O-X model */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;本词条由11初步翻译&lt;br /&gt;
&lt;br /&gt;
In the [[psychology]] of [[motivation]], '''balance theory''' is a theory of [[attitude change]], proposed by [[Fritz Heider]].&amp;lt;ref&amp;gt;Heider, Fritz (1958). ''The Psychology of Interpersonal Relations''. John Wiley &amp;amp; Sons.&amp;lt;/ref&amp;gt; It conceptualizes the [[cognitive consistency]] motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time.  Heider proposed that &amp;quot;sentiment&amp;quot; or liking relationships are balanced if the [[affect (psychology)|affect]] [[valence (psychology)|valence]] in a system multiplies out to a positive result.&lt;br /&gt;
&lt;br /&gt;
In the psychology of motivation, balance theory is a theory of attitude change, proposed by Fritz Heider. It conceptualizes the cognitive consistency motive as a drive toward psychological balance. The consistency motive is the urge to maintain one's values and beliefs over time.  Heider proposed that &amp;quot;sentiment&amp;quot; or liking relationships are balanced if the affect valence in a system multiplies out to a positive result.&lt;br /&gt;
&lt;br /&gt;
在动机心理学中，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 平衡理论 Balance Theory&amp;lt;/font&amp;gt;'''是弗里茨·海德提出的一种态度变化理论。它将认知一致性动机概念化为一种促使心理平衡的驱动力。一致性动机是长期维持一个人的价值观和信仰的强烈愿望。海德提出，如果一个系统中的情感效价翻倍后得到积极的结果，那么“情感”或喜爱关系就是平衡的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In [[social network analysis]], balance theory is the extension proposed by [[Frank Harary]] and Dorwin Cartwright.  It was the framework for the discussion at a [[Dartmouth College]] symposium in September 1975.&amp;lt;ref&amp;gt;Paul W. Holland &amp;amp; Samuel Leinhardt (editors) (1979) ''Perspectives on Social Network Research'', [[Academic Press]] {{ISBN|9780123525505}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In social network analysis, balance theory is the extension proposed by Frank Harary and Dorwin Cartwright.  It was the framework for the discussion at a Dartmouth College symposium in September 1975.&lt;br /&gt;
&lt;br /&gt;
在社会网络分析中，平衡理论是由弗兰克·哈拉里和多尔文·卡特赖特提出的。这是1975年9月达特茅斯学院研讨会讨论的框架。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==P-O-X model==&lt;br /&gt;
P-O-X模型&lt;br /&gt;
&lt;br /&gt;
[[File:Pox.jpg|thumb|Heider's P-O-X model]]&lt;br /&gt;
&lt;br /&gt;
Heider's P-O-X model&lt;br /&gt;
&lt;br /&gt;
海德的 P-O-X 模型&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）[翻译反馈]注意图注的格式  【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
For example: a Person (&amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt;) who likes (&amp;lt;math&amp;gt;+&amp;lt;/math&amp;gt;) an Other (&amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;) person will be balanced by the same valence attitude on behalf of the other.  Symbolically, &amp;lt;math&amp;gt;P (+) &amp;gt; O&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P &amp;lt; (+) O&amp;lt;/math&amp;gt; results in psychological balance.&lt;br /&gt;
&lt;br /&gt;
For example: a Person (&amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt;) who likes (&amp;lt;math&amp;gt;+&amp;lt;/math&amp;gt;) an Other (&amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;) person will be balanced by the same valence attitude on behalf of the other.  Symbolically, &amp;lt;math&amp;gt;P (+) &amp;gt; O&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P &amp;lt; (+) O&amp;lt;/math&amp;gt; results in psychological balance.&lt;br /&gt;
&lt;br /&gt;
例如: 一个喜欢另一个人(O)的人(P)，会被代表他人的相同价态平衡。从符号上看， P(+)&amp;gt;O和P&amp;lt;(+)O导致了心理平衡。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This can be extended to things or objects (&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) as well, thus introducing [[triadic relation]]ships.  If a person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; likes object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; but dislikes other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;, what does &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; feel upon learning that person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; created the object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;?  This is symbolized as such:&lt;br /&gt;
&lt;br /&gt;
This can be extended to things or objects (&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) as well, thus introducing triadic relationships.  If a person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; likes object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; but dislikes other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt;, what does &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; feel upon learning that person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; created the object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;?  This is symbolized as such:&lt;br /&gt;
&lt;br /&gt;
这也可以扩展到事物或对象(X)，从而引入三元关系。如果一个人P喜欢物体X但不喜欢另一个人O，那么当P得知这个人O创造了物体O会有什么感受？这用符号表示如下:&lt;br /&gt;
&lt;br /&gt;
P (+) &amp;gt; X &lt;br /&gt;
P (-) &amp;gt; O&lt;br /&gt;
O (+) &amp;gt; X &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Cognitive balance is achieved when there are three positive links or two negatives with one positive. Two positive links and one negative like the example above creates imbalance or [[cognitive dissonance]].&lt;br /&gt;
&lt;br /&gt;
Cognitive balance is achieved when there are three positive links or two negatives with one positive. Two positive links and one negative like the example above creates imbalance or cognitive dissonance.&lt;br /&gt;
&lt;br /&gt;
当有三个正面关联或两个负面关联与一个正面关联时，就会实现认知平衡。当有两个正面关联和一个负面关联时，像上面的例子一样，就会产生不平衡或认知失调。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Multiplying the signs shows that the person will perceive imbalance (a negative multiplicative product) in this relationship, and will be motivated to correct the imbalance somehow.  The Person can either:&lt;br /&gt;
&lt;br /&gt;
Multiplying the signs shows that the person will perceive imbalance (a negative multiplicative product) in this relationship, and will be motivated to correct the imbalance somehow.  The Person can either:&lt;br /&gt;
&lt;br /&gt;
不断增加的迹象表明，这个人会察觉到这种关系中的不平衡(一种负乘积效应) ，并且会主动以某种方式纠正这种不平衡。这个人可以:&lt;br /&gt;
&lt;br /&gt;
* Decide that &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; isn't bad,&lt;br /&gt;
&lt;br /&gt;
* Decide that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; isn't as great as originally thought, or&lt;br /&gt;
&lt;br /&gt;
* Conclude that &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; couldn't really have made &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
认为O并不是那么差；&lt;br /&gt;
认为X并不像原来想的那么好；&lt;br /&gt;
或者得出O不可能真的创造了X的结论。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Any of these will result in psychological balance, thus resolving the dilemma and satisfying the drive.  (Person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; could also avoid object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; entirely, lessening the stress created by psychological imbalance.)&lt;br /&gt;
&lt;br /&gt;
Any of these will result in psychological balance, thus resolving the dilemma and satisfying the drive.  (Person &amp;lt;math&amp;gt;P&amp;lt;/math&amp;gt; could also avoid object &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and other person &amp;lt;math&amp;gt;O&amp;lt;/math&amp;gt; entirely, lessening the stress created by psychological imbalance.)&lt;br /&gt;
&lt;br /&gt;
其中任何一种都会导致心理平衡，从而解决困境、满足需求。(人P也可以完全避开对象X和另一个人O，减轻心理不平衡造成的压力。)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
To predict the outcome of a situation using Heider's balance theory, one must weigh the effects of all the potential results, and the one requiring the least amount of effort will be the likely outcome.&lt;br /&gt;
&lt;br /&gt;
To predict the outcome of a situation using Heider's balance theory, one must weigh the effects of all the potential results, and the one requiring the least amount of effort will be the likely outcome.&lt;br /&gt;
&lt;br /&gt;
要使用海德的平衡理论来预测一种情况的结果，必须权衡所有潜在结果的影响，而最不费力的将是可能的结果。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）[翻译反馈]而最不费力的将是可能的结果。 这句话似乎可以再优化&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Determining if the triad is balanced is simple math:&lt;br /&gt;
&lt;br /&gt;
Determining if the triad is balanced is simple math:&lt;br /&gt;
&lt;br /&gt;
判断三元组是否是平衡是简单的数学问题:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; + + + = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; + + + = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt; math &amp;gt; + + + = + &amp;lt;/math &amp;gt; ; Balanced.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; - + - = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; - + - = + &amp;lt;/math&amp;gt;; Balanced.&lt;br /&gt;
&lt;br /&gt;
&amp;lt; math &amp;gt;-+-= + &amp;lt;/math &amp;gt; ; Balanced.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
- + + = - ：平衡，&lt;br /&gt;
&lt;br /&gt;
- + + = - ：平衡，&lt;br /&gt;
&lt;br /&gt;
- + + = - ：不平衡。&lt;br /&gt;
&lt;br /&gt;
==Examples==&lt;br /&gt;
举例&lt;br /&gt;
&lt;br /&gt;
Balance theory is useful in examining how [[Testimonial|celebrity endorsement]] affects consumers' [[Attitude (psychology)|attitudes]] toward products.&amp;lt;ref&amp;gt;John C. Mowen and Stephen W. Brown (1981) ,&amp;quot;On Explaining and Predicting the Effectiveness of Celebrity Endorsers&amp;quot;, in Advances in Consumer Research Volume 08, eds. Kent B. Monroe, Advances in Consumer Research Volume 08 : Association for Consumer Research, Pages: 437-441.&amp;lt;/ref&amp;gt; If a person likes a celebrity and perceives (due to the endorsement) that said celebrity likes a product, said person will tend to like the product more, in order to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
Balance theory is useful in examining how celebrity endorsement affects consumers' attitudes toward products. If a person likes a celebrity and perceives (due to the endorsement) that said celebrity likes a product, said person will tend to like the product more, in order to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
平衡理论有助于研究名人代言如何影响消费者对产品的态度。如果一个人喜欢一个名人，并且认为（由于代言)该名人喜欢一个产品，那么这个人就会倾向于更喜欢该产品，以达到心理平衡。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
However, if the person already had a dislike for the product being endorsed by the celebrity, they may begin disliking the celebrity, again to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
However, if the person already had a dislike for the product being endorsed by the celebrity, they may begin disliking the celebrity, again to achieve psychological balance.&lt;br /&gt;
&lt;br /&gt;
然而，如果这个人之前就不喜欢该名人代言的产品，他可能会开始讨厌这个名人，再次达到心理平衡。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Heider's balance theory can explain why holding the same negative attitudes of others promotes closeness.&amp;lt;ref name=GC&amp;gt;[[Gary Chartrand]] (1977) ''Graphs as Mathematical Models'', chapter 8: Graphs and Social Psychology, Prindle, Webber &amp;amp; Schmidt, {{ISBN|0-87150-236-4}}&amp;lt;/ref&amp;gt;{{rp|171}} See [[The enemy of my enemy is my friend]].&lt;br /&gt;
&lt;br /&gt;
Heider's balance theory can explain why holding the same negative attitudes of others promotes closeness. See The enemy of my enemy is my friend.&lt;br /&gt;
&lt;br /&gt;
海德的平衡理论可以解释为什么持有和他人相同的负面态度会促进亲近感。比如“敌人的敌人就是我的朋友”。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Signed graphs and social networks==&lt;br /&gt;
符号图和社会网络&lt;br /&gt;
&lt;br /&gt;
[[Frank Harary]] and Dorwin Cartwright looked at Heider's triads as 3-cycles in a [[signed graph]]. The sign of a [[path (graph theory)|path]] in a [[graph (discrete mathematics)|graph]] is the product of the signs of its edges. They considered [[cycle (graph theory)|cycle]]s in a signed graph representing a social network.&lt;br /&gt;
&lt;br /&gt;
Frank Harary and Dorwin Cartwright looked at Heider's triads as 3-cycles in a signed graph. The sign of a path in a graph is the product of the signs of its edges. They considered cycles in a signed graph representing a social network.&lt;br /&gt;
&lt;br /&gt;
弗兰克·哈拉里和多尔温·卡特赖特在将海德的三角形看作一个符号图中的三个循环。图中路径的符号是其边缘符号的乘积。他们考虑了代表社会网络的符号图中的循环。&lt;br /&gt;
&lt;br /&gt;
: A balanced signed graph has only cycles of positive signs.&lt;br /&gt;
&lt;br /&gt;
 A balanced signed graph has only cycles of positive signs.&lt;br /&gt;
&lt;br /&gt;
平衡的符号图中只有正符号的循环。&lt;br /&gt;
&lt;br /&gt;
Harary proved that a balanced graph is polarized, that is, it decomposes into two positive subgraphs that are joined by negative edges.&amp;lt;ref&amp;gt;[[Frank Harary]] (1953) [https://projecteuclid.org/euclid.mmj/1028989917 On the Notion of Balance of a Signed Graph], [[Michigan Mathematical Journal]] 2(2): 153–6 via [[Project Euclid]] {{mr|id=0067468}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Harary proved that a balanced graph is polarized, that is, it decomposes into two positive subgraphs that are joined by negative edges.&lt;br /&gt;
&lt;br /&gt;
哈拉里证明了一个平衡图是两极化的，即它分解成两个由负边连接的正子图。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In the interest of realism, a weaker property was suggested by Davis:&amp;lt;ref&amp;gt;[[James A. Davis]] (May 1967) &amp;quot;Clustering and structural balance in graphs&amp;quot;, [[Human Relations]] 20:181–7&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In the interest of realism, a weaker property was suggested by Davis:&lt;br /&gt;
&lt;br /&gt;
戴维斯代表现实主义提出了一个较弱的属性:&lt;br /&gt;
&lt;br /&gt;
:No cycle has exactly one negative edge.&lt;br /&gt;
&lt;br /&gt;
No cycle has exactly one negative edge.&lt;br /&gt;
&lt;br /&gt;
没有一个循环恰好有一个负边。&lt;br /&gt;
&lt;br /&gt;
Graphs with this property may decompose into more than two positive subgraphs called '''clusters'''.&amp;lt;ref name=GC/&amp;gt;{{rp|179}} The property has been called the ''clusterability axiom''.&amp;lt;ref&amp;gt;Claude Flament (1979) &amp;quot;Independent generalizations of balance&amp;quot;, in ''Perspectives on Social Network Research''&amp;lt;/ref&amp;gt; Then balanced graphs are recovered by assuming the &lt;br /&gt;
&lt;br /&gt;
Graphs with this property may decompose into more than two positive subgraphs called clusters. Then balanced graphs are recovered by assuming the &lt;br /&gt;
&lt;br /&gt;
具有这种属性的图可以分解为两个以上称为集群的正子图。然后通过假定简约公理来复原平衡图表。&lt;br /&gt;
: Parsimony axiom: The subgraph of positive edges has at most two [[component (graph theory)|component]]s.&lt;br /&gt;
&lt;br /&gt;
 Parsimony axiom: The subgraph of positive edges has at most two components.&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 简约公理 Parsimony Axiom&amp;lt;/font&amp;gt;''': 正边子图最多有两个分支。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The significance of balance theory for [[social dynamics]] was expressed by [[Anatol Rapoport]]:&lt;br /&gt;
&lt;br /&gt;
The significance of balance theory for social dynamics was expressed by Anatol Rapoport:&lt;br /&gt;
&lt;br /&gt;
平衡理论对社会动力学的意义由阿纳托尔·拉波波特提出:&lt;br /&gt;
:The hypothesis implies roughly that attitudes of the group members will tend to change in such a way that one's [[friend of a friend|friends' friends]] will tend to become one's friends and one's enemies' enemies also one's friends, and one's enemies' friends and one's friends' enemies will tend to become one's enemies, and moreover, that these changes tend to operate even across several removes (one's friends' friends' enemies' enemies tend to become friends by an iterative process).&amp;lt;ref&amp;gt;[[Anatol Rapoport]] (1963) &amp;quot;Mathematical models of social interaction&amp;quot;, in [https://archive.org/details/handbookofmathem017893mbp ''Handbook of Mathematical Psychology'', v. 2], pp 493 to 580, especially 541, editors: R.A. Galanter, R.R. Lace, E. Bush, [[John Wiley &amp;amp; Sons]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The hypothesis implies roughly that attitudes of the group members will tend to change in such a way that one's friends' friends will tend to become one's friends and one's enemies' enemies also one's friends, and one's enemies' friends and one's friends' enemies will tend to become one's enemies, and moreover, that these changes tend to operate even across several removes (one's friends' friends' enemies' enemies tend to become friends by an iterative process).&lt;br /&gt;
&lt;br /&gt;
这个假设大致意味着群体成员的态度将倾向于这样的改变: 一个人的朋友的朋友倾向于变成这个人的朋友，一个人的敌人的敌人也倾向于变成这个人的朋友，一个人的敌人的朋友和一个人的朋友的敌人也倾向于变成一这个人的敌人，而且，这些改变甚至会跨越几个间距发生(一个人的朋友的朋友的敌人的敌人也会通过一个迭代过程变成朋友)。&lt;br /&gt;
&lt;br /&gt;
Note that a triangle of three mutual enemies makes a clusterable graph but ''not'' a balanced one. Therefore, in a clusterable network one ''cannot'' conclude that [[the enemy of my enemy is my friend]], although this aphorism is a fact in a balanced network.&lt;br /&gt;
&lt;br /&gt;
Note that a triangle of three mutual enemies makes a clusterable graph but not a balanced one. Therefore, in a clusterable network one cannot conclude that the enemy of my enemy is my friend, although this aphorism is a fact in a balanced network.&lt;br /&gt;
&lt;br /&gt;
请注意，由三个共同的敌人组成的三角形形成的是一个可集群的图，而不是一个平衡图。因此，在一个可集群的网络中，我们不能得出“敌人的敌人就是我的朋友”的结论，尽管这句格言在平衡的网络中是事实。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Criticism===&lt;br /&gt;
批评&lt;br /&gt;
&lt;br /&gt;
Claude Flament&amp;lt;ref&amp;gt;Claude Flament (1963) ''Application of Graph Theory to Group Structure'', translators Maurice Pinard, Raymond Breton, Fernand Fontaine, chapter 3: Balancing Processes, page 92, [[Prentice-Hall]]&amp;lt;/ref&amp;gt; expressed a limit to balance theory imposed by reconciling [[weak ties]] with relationships of stronger force such as [[human bonding|family bonds]]:&lt;br /&gt;
&lt;br /&gt;
Claude Flament expressed a limit to balance theory imposed by reconciling weak ties with relationships of stronger force such as family bonds:&lt;br /&gt;
&lt;br /&gt;
克劳德·弗兰特通过调和弱关系与强关系(如家庭纽带)之间的关系，表达了平衡理论的一种限制:&lt;br /&gt;
&lt;br /&gt;
:One might think that a [[graph (abstract data type)|valued algebraic graph]] is necessary to represent psycho-social reality, if it is to take into account the degree of intensity of interpersonal relationships. But in fact it then seems hardly possible to define the balance of a graph, not for mathematical but for psychological reasons. If the relationship ''AB'' is +3, the relationship ''BC'' is –4, what should the ''AC'' relationship be in order that the triangle be balanced? The psychological hypotheses are wanting, or rather they are numerous and little justified.&lt;br /&gt;
&lt;br /&gt;
One might think that a valued algebraic graph is necessary to represent psycho-social reality, if it is to take into account the degree of intensity of interpersonal relationships. But in fact it then seems hardly possible to define the balance of a graph, not for mathematical but for psychological reasons. If the relationship AB is +3, the relationship BC is –4, what should the AC relationship be in order that the triangle be balanced? The psychological hypotheses are wanting, or rather they are numerous and little justified.&lt;br /&gt;
&lt;br /&gt;
如果要考虑人际关系的紧张程度，人们可能会认为有必要用一个有价值的代数图来表示心理社会现实。但事实上，定义一个图表的平衡似乎几近不可能，不是出于数学上的原因，而是出于心理学上的原因。如果 AB 的关系是 + 3，BC 的关系是-4，那么 AC 的关系应该是什么才能使三角形平衡？心理学上的假设是匮乏的，或者更确切地说，这些假设数量众多缺乏合理性。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
At the 1975 Dartmouth College colloquium on balance theory, Bo Anderson struck at the heart of the notion:&amp;lt;ref&amp;gt;Bo Anderson (1979) &amp;quot;Cognitive Balance Theory and Social Network Analysis: Remarks on some fundamental theoretical matters&amp;quot;, pages 453 to 69 in ''Perspectives on Social Network Research'', see page 462.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
At the 1975 Dartmouth College colloquium on balance theory, Bo Anderson struck at the heart of the notion:&lt;br /&gt;
&lt;br /&gt;
在1975年达特茅斯学院关于平衡理论的座谈会上，波·安德森一针见血地指出了这个概念的核心：&lt;br /&gt;
&lt;br /&gt;
:In graph theory there exists a ''formal'' balance theory that contains theorems that are ''analytically'' true. The statement that Heider's ''psychological'' balance can be represented, in its essential aspects, by a suitable interpretation of that ''formal balance theory'' should, however, be regarded as problematical. We cannot routinely identify the positive and negative lines in the formal theory with the positive and negative &amp;quot;sentiment relations&amp;quot;, and identify the formal balance notion with the ''psychological'' idea of balance or structural tension. .. It is puzzling that the fine structure of the relationships between formal and psychological balance has been given scant attention by balance theorists.&lt;br /&gt;
&lt;br /&gt;
In graph theory there exists a formal balance theory that contains theorems that are analytically true. The statement that Heider's psychological balance can be represented, in its essential aspects, by a suitable interpretation of that formal balance theory should, however, be regarded as problematical. We cannot routinely identify the positive and negative lines in the formal theory with the positive and negative &amp;quot;sentiment relations&amp;quot;, and identify the formal balance notion with the psychological idea of balance or structural tension. .. It is puzzling that the fine structure of the relationships between formal and psychological balance has been given scant attention by balance theorists.&lt;br /&gt;
&lt;br /&gt;
在图表理论中，有一种形式的平衡理论，存在着一种形式上的平衡理论。然而，关于海德尔的心理平衡可以通过对该形式平衡理论的适当解释来体现其本质方面的说法，应该被视为是有问题的。我们不能常规地将形式理论中的正负线与正负的 &amp;quot;情感关系 &amp;quot;相区分，也不能将形式平衡概念与平衡或结构张力的心理学思想相区分。......令人费解的是，形式平衡与心理平衡关系的细微结构却很少受到平衡理论家的关注。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
请参阅&lt;br /&gt;
&lt;br /&gt;
{{Portal|Psychology|Society}}&lt;br /&gt;
&lt;br /&gt;
* [[Information integration theory]]&lt;br /&gt;
&lt;br /&gt;
* [[Social balance theory]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Notes ==&lt;br /&gt;
标注&lt;br /&gt;
&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
参考&lt;br /&gt;
&lt;br /&gt;
{{Refbegin}}&lt;br /&gt;
&lt;br /&gt;
* {{cite journal |&lt;br /&gt;
&lt;br /&gt;
   last=Heider |&lt;br /&gt;
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   last=Heider |&lt;br /&gt;
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2012年10月12日&lt;br /&gt;
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   first=Fritz |&lt;br /&gt;
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   first=Fritz |&lt;br /&gt;
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第一个 = Fritz | &lt;br /&gt;
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   authorlink = Fritz Heider  | &lt;br /&gt;
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   authorlink = Fritz Heider  | &lt;br /&gt;
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弗里茨 · 海德 | &lt;br /&gt;
&lt;br /&gt;
   title=Attitudes and Cognitive Organization |&lt;br /&gt;
&lt;br /&gt;
   title=Attitudes and Cognitive Organization |&lt;br /&gt;
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态度和认知组织 | &lt;br /&gt;
&lt;br /&gt;
   journal=The Journal of Psychology |&lt;br /&gt;
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   journal=The Journal of Psychology |&lt;br /&gt;
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心理学杂志 | &lt;br /&gt;
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   volume=21 |&lt;br /&gt;
&lt;br /&gt;
   volume=21 |&lt;br /&gt;
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21 | &lt;br /&gt;
&lt;br /&gt;
   year=1946 |&lt;br /&gt;
&lt;br /&gt;
   year=1946 |&lt;br /&gt;
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1946年&lt;br /&gt;
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   pages=107–112&lt;br /&gt;
&lt;br /&gt;
   pages=107–112&lt;br /&gt;
&lt;br /&gt;
页数 = 107-112&lt;br /&gt;
&lt;br /&gt;
 |doi=10.1080/00223980.1946.9917275&lt;br /&gt;
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 |doi=10.1080/00223980.1946.9917275&lt;br /&gt;
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| doi = 10.1080/00223980.1946.9917275&lt;br /&gt;
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 |pmid=21010780}}&lt;br /&gt;
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 |pmid=21010780}}&lt;br /&gt;
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21010780}&lt;br /&gt;
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* Cartwright, D. and [[Frank Harary]] (1956)[http://snap.stanford.edu/class/cs224w-readings/cartwright56balance.pdf Structural balance: a generalization of Heider's theory],  [[Psychological Review]] 63: 277–293 link from [[Stanford University]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{Refend}}&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
{{DEFAULTSORT:Balance Theory}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Attitude change]]&lt;br /&gt;
&lt;br /&gt;
Category:Attitude change&lt;br /&gt;
&lt;br /&gt;
类别: 态度转变&lt;br /&gt;
&lt;br /&gt;
[[Category:Psychological theories]]&lt;br /&gt;
&lt;br /&gt;
Category:Psychological theories&lt;br /&gt;
&lt;br /&gt;
范畴: 心理学理论&lt;br /&gt;
&lt;br /&gt;
[[Category:Social networks]]&lt;br /&gt;
&lt;br /&gt;
Category:Social networks&lt;br /&gt;
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分类: 社交网络&lt;br /&gt;
&lt;br /&gt;
[[Category:Methods in sociology]]&lt;br /&gt;
&lt;br /&gt;
Category:Methods in sociology&lt;br /&gt;
&lt;br /&gt;
范畴: 社会学方法&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Balance theory]]. Its edit history can be viewed at [[平衡理论/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
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		<updated>2020-09-26T06:58:09Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 提交积分审核 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==新手须知==&lt;br /&gt;
===创建账户===&lt;br /&gt;
确定自己是否有集智百科页面的用户账号，若没有，点击页面右上角“创建账户”进行创建，并可以补充完善好自己的个人主页。&lt;br /&gt;
&lt;br /&gt;
===领取任务===&lt;br /&gt;
====领取渠道一 直接选择已有的词条任务====&lt;br /&gt;
点击石墨文档中的'''[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]''',在对应日期阶段的任务表中选择自己感兴趣的词条，在'''“词条领取人”'''一栏中填上自己的用户名，并且根据自身情况估计完成日期，填写在'''“初次完成时间”'''中，关注词条的'''“需求点”'''，在翻译过程中按照要求进行翻译。&lt;br /&gt;
  &lt;br /&gt;
  注意：一般词条生产最晚应在一周内完成，根据所设积分可以大体推算完成日期。如积分在20以下，完成时间往后退一至两天，积分为20-50区间内，完成时间往后退三至四天，积分为50以上，原则上在一周内完成。有特殊情况则私聊[[用户:趣木木|趣木木]]。&lt;br /&gt;
&lt;br /&gt;
'''提交完词条任务后，即时就在[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]领取下次的词条。&lt;br /&gt;
'''&lt;br /&gt;
====领取渠道二 选择自己感兴趣的词条作为自己的词条任务====&lt;br /&gt;
点击石墨文档中的[https://shimo.im/sheets/VxGcDcJ6vJtQdkgQ/q1eR9  词条生产表]中的“机器已搬运”子表，选择自己感兴趣的词条并修改“是否翻译”一栏（将否改为是）。此外，为确保没有重复工作，在[https://wiki.swarma.org/index.php?title=%E9%82%93%E5%B7%B4%E6%95%B0#Criticism_.E8.AF.84.E8.AE.BA  集智百科新版],[http://wiki.swarma.net/index.php/%E8%AF%BA%E4%BC%AF%E7%89%B9%C2%B7%E7%BB%B4%E7%BA%B3_Norbert_Wiener#.E7.9B.B8.E5.85.B3.E8.91.97.E4.BD.9C  集智百科旧版]搜索对应词条，查看编辑历史，确保其没有进行过翻译。汇总感兴趣的词条，填入到''[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]'''对应日期阶段的任务表中，填写完成时间、领取人。并联系[[用户:趣木木|趣木木]]填写对应积分。&lt;br /&gt;
&lt;br /&gt;
===明确生产形式===&lt;br /&gt;
点击所领取词条下对应的'''“集智百科链接地址”'''，首先查看页面是否存在英文文本缺失的问题，若存在，点击对应的英文wiki地址进行补充。对于公式显示错误或遇到其余页面显示问题，请私聊[[用户:趣木木|趣木木]]进行反映。页面形式为两段重复的英文文本及由彩云小译初步翻译出来的中文文本。译者点击右上角的“登录”，登录上自己的账号，在编辑页面的最上端写上“本词条由[[用户名]]初步翻译”。&lt;br /&gt;
&lt;br /&gt;
以[[LFR算法]]为例，可看到以下界面，只需查看第二次出现的英文原文，对比中文进行翻译。点击“编辑”，即可编辑页面，其具体操作为：&lt;br /&gt;
&lt;br /&gt;
[[File:编辑操作.png|1000px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''根据蓝色框内的英文，修改重译红色框中的中文。借助维基百科的英文原文进行翻译，利用翻译工具有彩云小译、网易有道翻译等翻译软件，译者需要自行翻译，将中文换为符合习惯的表达，多方查询相关释义，及时反馈，以确保专业性。'''&lt;br /&gt;
&lt;br /&gt;
[[File:翻译对比.png|1000px]]&lt;br /&gt;
对于页面的基本操作可查看[https://wiki.swarma.org/index.php?title=%E7%BC%96%E8%BE%91%E8%A7%84%E8%8C%83  编辑入门]&lt;br /&gt;
&lt;br /&gt;
===知识储备===&lt;br /&gt;
&lt;br /&gt;
可从集智学园，集智斑图以及公众号搜索相关资料，查看中文维基百科中相对应的词条，对词条内容有一个初步的认识和了解；将查阅到的资料、课程相关链接放到编者推荐、相关链接的内容中；可从[https://campus.swarma.org/ 集智学园]查看相关课程资源、在[https://swarma.org/ 集智俱乐部]中的集智斑图获取学习路径，从'''集智微信公众号： 集智俱乐部'''查看相关科普文章和学习资源。&lt;br /&gt;
&lt;br /&gt;
===明确生产职责===&lt;br /&gt;
译者需将英文wiki的原文通畅且较为准确、完整、专业的人工翻译出来，符合中文的语言表达，借助机器翻译但不完全是机器翻译。&lt;br /&gt;
===达到翻译过程中的生产要求===&lt;br /&gt;
====规范性====&lt;br /&gt;
&lt;br /&gt;
*专业名词格式&lt;br /&gt;
译者通过英文原文中含有链接的英文、小标题对应的英文确定哪些为专业名词。在确定过程中注意人名、机构、与词条本身的专业领域关系不大的名词不在考虑范围内，通过语法[[File:标橙语法.png|300px]]'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 专业名词&amp;lt;/font&amp;gt;'''即可对专业名词标橙。且将专业名词的格式设为“中文+英文”（注：不加括号,英文首字母均大写），示例:[[File:专业名词格式.png|200px]]&lt;br /&gt;
*文本格式&lt;br /&gt;
1、中文文本用中文对应括号（）  英文数学文本用英文对应括号()&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2、人名译名缩写大写 如j.a 实际上应为J.A&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3、排除多余的句点&amp;quot;。。&amp;quot;→&amp;quot;。&amp;quot;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4、中文文本用“。”而不是“.”  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5、变量采用斜体 ''N''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*图片的图注翻译格式&lt;br /&gt;
图注翻译格式为：【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
*文本统一&lt;br /&gt;
注意全文一致同一术语释义、同一人名释义（与集智俱乐部公众号一致）&lt;br /&gt;
&lt;br /&gt;
*利用讨论标注出省略翻译、意译的句子&lt;br /&gt;
利用讨论语法[[File:讨论.png|100px]]添加讨论&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句省译&lt;br /&gt;
 &lt;br /&gt;
*具体年份不宜省略翻译，如&amp;quot;2012年&amp;quot;不可只写&amp;quot;12年&amp;quot;&lt;br /&gt;
&lt;br /&gt;
====完整性====&lt;br /&gt;
避免存在漏译的情况，特别注意图注、“see also”部分、章节名的翻译完整。&lt;br /&gt;
&lt;br /&gt;
====专业性====&lt;br /&gt;
*词条标题核实&lt;br /&gt;
如果对词条标题的意思有异议，可以私聊[[用户:趣木木|趣木木]]进行反映。核实之后，会设置重定向。&lt;br /&gt;
*专业名词查询释义&lt;br /&gt;
对于筛选出来的专业名词请在[https://campus.swarma.org/translation/  翻译词库]中进行查询，不论是否查询得到，均需将专业名词标橙。对于查询到的释义，采用该专业名词释义；对于未查询到的释义，点击“新增翻译词”，补充上未查询到的英文，中文填为“待补充”。其具体操作如下，操作完毕即有下图中蓝色框内的形式。&lt;br /&gt;
[[File:词库新增.png|1000px]]&lt;br /&gt;
此外，还可在[http://dict.cnki.net/dict_result.aspx cnki翻译助手]里面初步检索专业名词，选取引用量最高的释义，待后续专家审校进行反馈纠正释义后，再将纠正的准确释义添加在[https://campus.swarma.org/translation/  翻译词库]中 &lt;br /&gt;
* 疑难句标绿&lt;br /&gt;
对于自己翻译不清楚、存疑的疑难句，采用语法[[File:段落标绿.png|250px]]将'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;疑难句&amp;lt;/font&amp;gt;'''进行标绿，且在后面附加上疑难句所对应的英文。&lt;br /&gt;
&lt;br /&gt;
====通顺性====&lt;br /&gt;
通读全文一至两遍，保证全文的语句通顺，符合语言表达，且释义统一。&lt;br /&gt;
&lt;br /&gt;
====进阶需求（不做要求）====&lt;br /&gt;
可在页面中加一个模块：专家对于该术语/概念的一些描述（从书籍资源中补充概念）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===复查词条===&lt;br /&gt;
至少通读一至两遍译文，按照[https://shimo.im/docs/pX8Pgy66gDjG9WCR  自审清单]进行自审，寻找是否有语序、逻辑不通的地方，前后表述并不一致的地方，以及同一单词尽量用同一释义；注意检查相关的术语加粗，变量斜体，公式是否显示正常，图片图注序号是否正确等格式问题；在确保自己已达到上述的生产要求后，递交给负责人[[用户:趣木木|趣木木]]，负责人进行通读，检查，反馈，译者进行修改。&lt;br /&gt;
&lt;br /&gt;
===复修改词条===&lt;br /&gt;
在规定时间内，负责人[[用户:趣木木|趣木木]]提交给审校，审校会添加讨论以及反馈，译者查看进行复核与复修改。'''（注：若被审校打回重译，所得积分减半）'''&lt;br /&gt;
===提交积分审核===&lt;br /&gt;
完成上述工作后，向负责人[[用户:趣木木|趣木木]]发送以下信息，以[[经济复杂性指数]]为例：&lt;br /&gt;
&lt;br /&gt;
 词条名：[[经济复杂性指数]]&lt;br /&gt;
 词条领取人：[[用户:趣木木|趣木木]]&lt;br /&gt;
 词条对应链接：https://wiki.swarma.org/index.php?title=%E7%BB%8F%E6%B5%8E%E5%A4%8D%E6%9D%82%E6%80%A7%E6%8C%87%E6%95%B0_Economic_Complexity_Index&lt;br /&gt;
 词条对应积分：30&lt;br /&gt;
 词条初次完成时间:2020.07.09(这里指提交给负责人审核的日期）&lt;br /&gt;
 是否领取下一个词条：是/否&lt;br /&gt;
&lt;br /&gt;
负责人审核，确定词条达到要求后，记录积分。&lt;br /&gt;
&lt;br /&gt;
==新手提升==&lt;br /&gt;
===与审校部门联合进行相关培训===&lt;br /&gt;
接受一些定期对译者的培训，收集译者在翻译过程中存在的问题，进行分享解析；分享翻译时的一些技巧，以提高翻译能力。&lt;br /&gt;
===入门资源推荐===&lt;br /&gt;
&lt;br /&gt;
1.张江复杂性思维课程 （集智学园）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2.《复杂》梅拉妮·米歇尔，网上有视频课程（喜马拉雅APP）[https://www.complexityexplorer.org/courses/104-introduction-to-complexity  《复杂》]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3.教材《网络、群体与市场》，网上有[http://www.chinesemooc.org/mooc/4406 视频课程] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4.郝柏林：圣菲研究所与复杂性研究&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5.复杂性科学、网络科学、计算社会科学研究机构推介（北美篇）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
6.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用，集智斑图网站负责人如意整理的[https://pattern.swarma.org/path?id=22 路径1]  、[https://pattern.swarma.org/path?id=30 路径2]  、 [https://pattern.swarma.org/path?id=32&amp;quot; 路径3]&lt;br /&gt;
&lt;br /&gt;
8.[https://pattern.swarma.org/path?id=68 图神经网络、网络科学、系统科学综合交叉入门学习路径]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14201</id>
		<title>集智百科翻译团队工作指南</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14201"/>
		<updated>2020-09-23T05:25:36Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==新手须知==&lt;br /&gt;
===创建账户===&lt;br /&gt;
确定自己是否有集智百科页面的用户账号，若没有，点击页面右上角“创建账户”进行创建，并可以补充完善好自己的个人主页。&lt;br /&gt;
&lt;br /&gt;
===领取任务===&lt;br /&gt;
====领取渠道一 直接选择已有的词条任务====&lt;br /&gt;
点击石墨文档中的'''[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]''',在对应日期阶段的任务表中选择自己感兴趣的词条，在'''“词条领取人”'''一栏中填上自己的用户名，并且根据自身情况估计完成日期，填写在'''“初次完成时间”'''中，关注词条的'''“需求点”'''，在翻译过程中按照要求进行翻译。&lt;br /&gt;
  &lt;br /&gt;
  注意：一般词条生产最晚应在一周内完成，根据所设积分可以大体推算完成日期。如积分在20以下，完成时间往后退一至两天，积分为20-50区间内，完成时间往后退三至四天，积分为50以上，原则上在一周内完成。有特殊情况则私聊[[用户:趣木木|趣木木]]。&lt;br /&gt;
&lt;br /&gt;
'''提交完词条任务后，即时就在[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]领取下次的词条。&lt;br /&gt;
'''&lt;br /&gt;
====领取渠道二 选择自己感兴趣的词条作为自己的词条任务====&lt;br /&gt;
点击石墨文档中的[https://shimo.im/sheets/VxGcDcJ6vJtQdkgQ/q1eR9  词条生产表]中的“机器已搬运”子表，选择自己感兴趣的词条并修改“是否翻译”一栏（将否改为是）。此外，为确保没有重复工作，在[https://wiki.swarma.org/index.php?title=%E9%82%93%E5%B7%B4%E6%95%B0#Criticism_.E8.AF.84.E8.AE.BA  集智百科新版],[http://wiki.swarma.net/index.php/%E8%AF%BA%E4%BC%AF%E7%89%B9%C2%B7%E7%BB%B4%E7%BA%B3_Norbert_Wiener#.E7.9B.B8.E5.85.B3.E8.91.97.E4.BD.9C  集智百科旧版]搜索对应词条，查看编辑历史，确保其没有进行过翻译。汇总感兴趣的词条，填入到''[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]'''对应日期阶段的任务表中，填写完成时间、领取人。并联系[[用户:趣木木|趣木木]]填写对应积分。&lt;br /&gt;
&lt;br /&gt;
===明确生产形式===&lt;br /&gt;
点击所领取词条下对应的'''“集智百科链接地址”'''，首先查看页面是否存在英文文本缺失的问题，若存在，点击对应的英文wiki地址进行补充。对于公式显示错误或遇到其余页面显示问题，请私聊[[用户:趣木木|趣木木]]进行反映。页面形式为两段重复的英文文本及由彩云小译初步翻译出来的中文文本。译者点击右上角的“登录”，登录上自己的账号，在编辑页面的最上端写上“本词条由[[用户名]]初步翻译”。&lt;br /&gt;
&lt;br /&gt;
以[[LFR算法]]为例，可看到以下界面，只需查看第二次出现的英文原文，对比中文进行翻译。点击“编辑”，即可编辑页面，其具体操作为：&lt;br /&gt;
&lt;br /&gt;
[[File:编辑操作.png|1000px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''根据蓝色框内的英文，修改重译红色框中的中文。借助维基百科的英文原文进行翻译，利用翻译工具有彩云小译、网易有道翻译等翻译软件，译者需要自行翻译，将中文换为符合习惯的表达，多方查询相关释义，及时反馈，以确保专业性。'''&lt;br /&gt;
&lt;br /&gt;
[[File:翻译对比.png|1000px]]&lt;br /&gt;
对于页面的基本操作可查看[https://wiki.swarma.org/index.php?title=%E7%BC%96%E8%BE%91%E8%A7%84%E8%8C%83  编辑入门]&lt;br /&gt;
&lt;br /&gt;
===知识储备===&lt;br /&gt;
&lt;br /&gt;
可从集智学园，集智斑图以及公众号搜索相关资料，查看中文维基百科中相对应的词条，对词条内容有一个初步的认识和了解；将查阅到的资料、课程相关链接放到编者推荐、相关链接的内容中；可从[https://campus.swarma.org/ 集智学园]查看相关课程资源、在[https://swarma.org/ 集智俱乐部]中的集智斑图获取学习路径，从'''集智微信公众号： 集智俱乐部'''查看相关科普文章和学习资源。&lt;br /&gt;
&lt;br /&gt;
===明确生产职责===&lt;br /&gt;
译者需将英文wiki的原文通畅且较为准确、完整、专业的人工翻译出来，符合中文的语言表达，借助机器翻译但不完全是机器翻译。&lt;br /&gt;
===达到翻译过程中的生产要求===&lt;br /&gt;
====规范性====&lt;br /&gt;
&lt;br /&gt;
*专业名词格式&lt;br /&gt;
译者通过英文原文中含有链接的英文、小标题对应的英文确定哪些为专业名词。在确定过程中注意人名、机构、与词条本身的专业领域关系不大的名词不在考虑范围内，通过语法[[File:标橙语法.png|300px]]'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 专业名词&amp;lt;/font&amp;gt;'''即可对专业名词标橙。且将专业名词的格式设为“中文+英文”（注：不加括号,英文首字母均大写），示例:[[File:专业名词格式.png|200px]]&lt;br /&gt;
*文本格式&lt;br /&gt;
1、中文文本用中文对应括号（）  英文数学文本用英文对应括号()&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2、人名译名缩写大写 如j.a 实际上应为J.A&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3、排除多余的句点&amp;quot;。。&amp;quot;→&amp;quot;。&amp;quot;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4、中文文本用“。”而不是“.”  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5、变量采用斜体 ''N''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*图片的图注翻译格式&lt;br /&gt;
图注翻译格式为：【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
*文本统一&lt;br /&gt;
注意全文一致同一术语释义、同一人名释义（与集智俱乐部公众号一致）&lt;br /&gt;
&lt;br /&gt;
*利用讨论标注出省略翻译、意译的句子&lt;br /&gt;
利用讨论语法[[File:讨论.png|100px]]添加讨论&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句省译&lt;br /&gt;
 &lt;br /&gt;
*具体年份不宜省略翻译，如&amp;quot;2012年&amp;quot;不可只写&amp;quot;12年&amp;quot;&lt;br /&gt;
&lt;br /&gt;
====完整性====&lt;br /&gt;
避免存在漏译的情况，特别注意图注、“see also”部分、章节名的翻译完整。&lt;br /&gt;
&lt;br /&gt;
====专业性====&lt;br /&gt;
*词条标题核实&lt;br /&gt;
如果对词条标题的意思有异议，可以私聊[[用户:趣木木|趣木木]]进行反映。核实之后，会设置重定向。&lt;br /&gt;
*专业名词查询释义&lt;br /&gt;
对于筛选出来的专业名词请在[https://campus.swarma.org/translation/  翻译词库]中进行查询，不论是否查询得到，均需将专业名词标橙。对于查询到的释义，采用该专业名词释义；对于未查询到的释义，点击“新增翻译词”，补充上未查询到的英文，中文填为“待补充”。其具体操作如下，操作完毕即有下图中蓝色框内的形式。&lt;br /&gt;
[[File:词库新增.png|1000px]]&lt;br /&gt;
此外，还可在[http://dict.cnki.net/dict_result.aspx cnki翻译助手]里面初步检索专业名词，选取引用量最高的释义，待后续专家审校进行反馈纠正释义后，再将纠正的准确释义添加在[https://campus.swarma.org/translation/  翻译词库]中 &lt;br /&gt;
* 疑难句标绿&lt;br /&gt;
对于自己翻译不清楚、存疑的疑难句，采用语法[[File:段落标绿.png|250px]]将'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;疑难句&amp;lt;/font&amp;gt;'''进行标绿，且在后面附加上疑难句所对应的英文。&lt;br /&gt;
&lt;br /&gt;
====通顺性====&lt;br /&gt;
通读全文一至两遍，保证全文的语句通顺，符合语言表达，且释义统一。&lt;br /&gt;
&lt;br /&gt;
====进阶需求（不做要求）====&lt;br /&gt;
可在页面中加一个模块：专家对于该术语/概念的一些描述（从书籍资源中补充概念）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===复查词条===&lt;br /&gt;
至少通读一至两遍译文，按照[https://shimo.im/docs/pX8Pgy66gDjG9WCR  自审清单]进行自审，寻找是否有语序、逻辑不通的地方，前后表述并不一致的地方，以及同一单词尽量用同一释义；注意检查相关的术语加粗，变量斜体，公式是否显示正常，图片图注序号是否正确等格式问题；在确保自己已达到上述的生产要求后，递交给负责人[[用户:趣木木|趣木木]]，负责人进行通读，检查，反馈，译者进行修改。&lt;br /&gt;
&lt;br /&gt;
===复修改词条===&lt;br /&gt;
在规定时间内，负责人[[用户:趣木木|趣木木]]提交给审校，审校会添加讨论以及反馈，译者查看进行复核与复修改。'''（注：若被审校打回重译，所得积分减半）'''&lt;br /&gt;
===提交积分审核===&lt;br /&gt;
完成上述工作后，向负责人[[用户:趣木木|趣木木]]发送以下信息，以[[经济复杂性指数]]为例：&lt;br /&gt;
&lt;br /&gt;
 词条名：[[经济复杂性指数]]&lt;br /&gt;
 词条领取人：[[用户:趣木木|趣木木]]&lt;br /&gt;
 词条对应链接：https://wiki.swarma.org/index.php?title=%E7%BB%8F%E6%B5%8E%E5%A4%8D%E6%9D%82%E6%80%A7%E6%8C%87%E6%95%B0_Economic_Complexity_Index&lt;br /&gt;
 词条对应积分：30&lt;br /&gt;
 词条初次完成时间:2020.07.09(这里指提交给负责人审核的日期）&lt;br /&gt;
&lt;br /&gt;
负责人审核，确定词条达到要求后，记录积分。&lt;br /&gt;
&lt;br /&gt;
==新手提升==&lt;br /&gt;
===与审校部门联合进行相关培训===&lt;br /&gt;
接受一些定期对译者的培训，收集译者在翻译过程中存在的问题，进行分享解析；分享翻译时的一些技巧，以提高翻译能力。&lt;br /&gt;
===入门资源推荐===&lt;br /&gt;
&lt;br /&gt;
1.张江复杂性思维课程 （集智学园）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2.《复杂》梅拉妮·米歇尔，网上有视频课程（喜马拉雅APP）[https://www.complexityexplorer.org/courses/104-introduction-to-complexity  《复杂》]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3.教材《网络、群体与市场》，网上有[http://www.chinesemooc.org/mooc/4406 视频课程] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4.郝柏林：圣菲研究所与复杂性研究&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5.复杂性科学、网络科学、计算社会科学研究机构推介（北美篇）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
6.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用，集智斑图网站负责人如意整理的[https://pattern.swarma.org/path?id=22 路径1]  、[https://pattern.swarma.org/path?id=30 路径2]  、 [https://pattern.swarma.org/path?id=32&amp;quot; 路径3]&lt;br /&gt;
&lt;br /&gt;
8.[https://pattern.swarma.org/path?id=68 图神经网络、网络科学、系统科学综合交叉入门学习路径]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14198</id>
		<title>集智百科翻译团队工作指南</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14198"/>
		<updated>2020-09-22T15:09:10Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 入门资源推荐 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==新手须知==&lt;br /&gt;
===创建账户===&lt;br /&gt;
确定自己是否有集智百科页面的用户账号，如果没有，点击页面右上角“创建账户”进行创建，并可以补充完善好自己的个人主页。&lt;br /&gt;
&lt;br /&gt;
===领取任务===&lt;br /&gt;
点击石墨文档中的链接[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表],在对应的任务表中选择自己感兴趣的词条，在“词条领取人”一栏中填上自己的用户名，并且根据自身情况估计完成日期，填写在“初次完成时间”中，并关注词条的“需求点”，在翻译过程中按照要求进行翻译。&lt;br /&gt;
注意：一般词条生产最晚应在一周内完成，根据所设积分可以大体推算完成日期。&lt;br /&gt;
如积分在20以下，完成时间往后退一至两天，积分为20-50区间内，完成时间往后退三至四天，积分为50以上，原则上在一周内完成。有特殊情况则私聊[[用户:趣木木|趣木木]]。'''提交完词条任务后，即时就在[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]领取下次的词条。&lt;br /&gt;
'''&lt;br /&gt;
&lt;br /&gt;
===明确生产形式===&lt;br /&gt;
点击所领取词条下对应的“集智百科链接地址”，首先查看页面是否存在英文文本缺失的问题，若存在，点击对应的英文wiki地址进行补充。对于公式显示错误或遇到其余页面显示问题，请私聊[[用户:趣木木|趣木木]]进行反映。页面形式为两段重复的英文文本及由彩云小译初步翻译出来的中文文本。译者点击右上角的“登录”，登录上自己的账号，在编辑页面的最上端写上“本词条由[[用户名]]初步翻译”。&lt;br /&gt;
&lt;br /&gt;
以[[LFR算法]]为例，可看到以下界面，只需查看第二次出现的英文原文，对比中文进行翻译。点击“编辑”，即可编辑页面，其具体操作为：&lt;br /&gt;
&lt;br /&gt;
[[File:编辑操作.png|1000px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''根据蓝色框内的英文，修改重译红色框中的中文。借助维基百科的英文原文进行翻译，利用翻译工具有彩云小译、网易有道翻译等翻译软件，译者需要自行翻译，将中文换为符合习惯的表达，多方查询相关释义，及时反馈，以确保专业性。'''&lt;br /&gt;
&lt;br /&gt;
[[File:翻译对比.png|1000px]]&lt;br /&gt;
对于页面的基本操作可查看[https://wiki.swarma.org/index.php?title=%E7%BC%96%E8%BE%91%E8%A7%84%E8%8C%83  编辑入门]&lt;br /&gt;
&lt;br /&gt;
===知识储备===&lt;br /&gt;
&lt;br /&gt;
可从集智学园，集智斑图以及公众号搜索相关资料，查看中文维基百科中相对应的词条，对词条内容有一个初步的认识和了解；将查阅到的资料、课程相关链接放到编者推荐、相关链接的内容中；可从[https://campus.swarma.org/ 集智学园]查看相关课程资源、在[https://swarma.org/ 集智俱乐部]中的集智斑图获取学习路径，从'''集智微信公众号： 集智俱乐部'''查看相关科普文章和学习资源。&lt;br /&gt;
&lt;br /&gt;
===明确生产职责===&lt;br /&gt;
译者需将英文wiki的原文通畅且较为准确、完整、专业的人工翻译出来，符合中文的语言表达，借助机器翻译但不完全是机器翻译。&lt;br /&gt;
===达到翻译过程中的生产要求===&lt;br /&gt;
====规范性====&lt;br /&gt;
&lt;br /&gt;
*专业名词格式&lt;br /&gt;
译者通过英文原文中含有链接的英文、小标题对应的英文确定哪些为专业名词。在确定过程中注意人名、机构、与词条本身的专业领域关系不大的名词不在考虑范围内，通过语法[[File:标橙语法.png|300px]]'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 专业名词&amp;lt;/font&amp;gt;'''即可对专业名词标橙。且将专业名词的格式设为“中文+英文”（注：不加括号,英文首字母均大写），示例:[[File:专业名词格式.png|200px]]&lt;br /&gt;
*文本格式&lt;br /&gt;
1、中文文本用中文对应括号（）  英文数学文本用英文对应括号()&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2、人名译名缩写大写 如j.a 实际上应为J.A&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3、排除多余的句点&amp;quot;。。&amp;quot;→&amp;quot;。&amp;quot;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4、中文文本用“。”而不是“.”  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5、变量采用斜体 ''N''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*图片的图注翻译格式&lt;br /&gt;
图注翻译格式为：【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
*文本统一&lt;br /&gt;
注意全文一致同一术语释义、同一人名释义（与集智俱乐部公众号一致）&lt;br /&gt;
&lt;br /&gt;
*利用讨论标注出省略翻译、意译的句子&lt;br /&gt;
利用讨论语法[[File:讨论.png|100px]]添加讨论&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句省译&lt;br /&gt;
 &lt;br /&gt;
*具体年份不宜省略翻译，如&amp;quot;2012年&amp;quot;不可只写&amp;quot;12年&amp;quot;&lt;br /&gt;
&lt;br /&gt;
====完整性====&lt;br /&gt;
避免存在漏译的情况，特别注意图注、“see also”部分、章节名的翻译完整。&lt;br /&gt;
&lt;br /&gt;
====专业性====&lt;br /&gt;
*词条标题核实&lt;br /&gt;
如果对词条标题的意思有异议，可以私聊[[用户:趣木木|趣木木]]进行反映。核实之后，会设置重定向。&lt;br /&gt;
*专业名词查询释义&lt;br /&gt;
对于筛选出来的专业名词请在[https://campus.swarma.org/translation/  翻译词库]中进行查询，不论是否查询得到，均需将专业名词标橙。对于查询到的释义，采用该专业名词释义；对于未查询到的释义，点击“新增翻译词”，补充上未查询到的英文，中文填为“待补充”。其具体操作如下，操作完毕即有下图中蓝色框内的形式。&lt;br /&gt;
[[File:词库新增.png|1000px]]&lt;br /&gt;
此外，还可在[http://dict.cnki.net/dict_result.aspx cnki翻译助手]里面初步检索专业名词，选取引用量最高的释义，待后续专家审校进行反馈纠正释义后，再将纠正的准确释义添加在[https://campus.swarma.org/translation/  翻译词库]中 &lt;br /&gt;
* 疑难句标绿&lt;br /&gt;
对于自己翻译不清楚、存疑的疑难句，采用语法[[File:段落标绿.png|250px]]将'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;疑难句&amp;lt;/font&amp;gt;'''进行标绿，且在后面附加上疑难句所对应的英文。&lt;br /&gt;
&lt;br /&gt;
====通顺性====&lt;br /&gt;
通读全文一至两遍，保证全文的语句通顺，符合语言表达，且释义统一。&lt;br /&gt;
&lt;br /&gt;
====进阶需求（不做要求）====&lt;br /&gt;
可在页面中加一个模块：专家对于该术语/概念的一些描述（从书籍资源中补充概念）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===复查词条===&lt;br /&gt;
至少通读一至两遍译文，按照[https://shimo.im/docs/pX8Pgy66gDjG9WCR  自审清单]进行自审，寻找是否有语序、逻辑不通的地方，前后表述并不一致的地方，以及同一单词尽量用同一释义；注意检查相关的术语加粗，变量斜体，公式是否显示正常，图片图注序号是否正确等格式问题；在确保自己已达到上述的生产要求后，递交给负责人[[用户:趣木木|趣木木]]，负责人进行通读，检查，反馈，译者进行修改。&lt;br /&gt;
&lt;br /&gt;
===复修改词条===&lt;br /&gt;
在规定时间内，负责人[[用户:趣木木|趣木木]]提交给审校，审校会添加讨论以及反馈，译者查看进行复核与复修改。'''（注：若被审校打回重译，所得积分减半）'''&lt;br /&gt;
===提交积分审核===&lt;br /&gt;
完成上述工作后，向负责人[[用户:趣木木|趣木木]]发送以下信息，以[[经济复杂性指数]]为例：&lt;br /&gt;
&lt;br /&gt;
 词条名：[[经济复杂性指数]]&lt;br /&gt;
 词条领取人：[[用户:趣木木|趣木木]]&lt;br /&gt;
 词条对应链接：https://wiki.swarma.org/index.php?title=%E7%BB%8F%E6%B5%8E%E5%A4%8D%E6%9D%82%E6%80%A7%E6%8C%87%E6%95%B0_Economic_Complexity_Index&lt;br /&gt;
 词条对应积分：30&lt;br /&gt;
 词条初次完成时间:2020.07.09(这里指提交给负责人审核的日期）&lt;br /&gt;
&lt;br /&gt;
负责人审核，确定词条达到要求后，记录积分。&lt;br /&gt;
&lt;br /&gt;
==新手提升==&lt;br /&gt;
===与审校部门联合进行相关培训===&lt;br /&gt;
接受一些定期对译者的培训，收集译者在翻译过程中存在的问题，进行分享解析；分享翻译时的一些技巧，以提高翻译能力。&lt;br /&gt;
===入门资源推荐===&lt;br /&gt;
&lt;br /&gt;
1.张江复杂性思维课程 （集智学园）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2.《复杂》梅拉妮·米歇尔，网上有视频课程（喜马拉雅APP）[https://www.complexityexplorer.org/courses/104-introduction-to-complexity  《复杂》]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3.教材《网络、群体与市场》，网上有[http://www.chinesemooc.org/mooc/4406 视频课程] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4.郝柏林：圣菲研究所与复杂性研究&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5.复杂性科学、网络科学、计算社会科学研究机构推介（北美篇）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
6.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用，集智斑图网站负责人如意整理的[https://pattern.swarma.org/path?id=22 路径1]  、[https://pattern.swarma.org/path?id=30 路径2]  、 [https://pattern.swarma.org/path?id=32&amp;quot; 路径3]&lt;br /&gt;
&lt;br /&gt;
8.[https://pattern.swarma.org/path?id=68 图神经网络、网络科学、系统科学综合交叉入门学习路径]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14197</id>
		<title>集智百科翻译团队工作指南</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=14197"/>
		<updated>2020-09-22T14:51:27Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==新手须知==&lt;br /&gt;
===创建账户===&lt;br /&gt;
确定自己是否有集智百科页面的用户账号，如果没有，点击页面右上角“创建账户”进行创建，并可以补充完善好自己的个人主页。&lt;br /&gt;
&lt;br /&gt;
===领取任务===&lt;br /&gt;
点击石墨文档中的链接[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表],在对应的任务表中选择自己感兴趣的词条，在“词条领取人”一栏中填上自己的用户名，并且根据自身情况估计完成日期，填写在“初次完成时间”中，并关注词条的“需求点”，在翻译过程中按照要求进行翻译。&lt;br /&gt;
注意：一般词条生产最晚应在一周内完成，根据所设积分可以大体推算完成日期。&lt;br /&gt;
如积分在20以下，完成时间往后退一至两天，积分为20-50区间内，完成时间往后退三至四天，积分为50以上，原则上在一周内完成。有特殊情况则私聊[[用户:趣木木|趣木木]]。'''提交完词条任务后，即时就在[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]领取下次的词条。&lt;br /&gt;
'''&lt;br /&gt;
&lt;br /&gt;
===明确生产形式===&lt;br /&gt;
点击所领取词条下对应的“集智百科链接地址”，首先查看页面是否存在英文文本缺失的问题，若存在，点击对应的英文wiki地址进行补充。对于公式显示错误或遇到其余页面显示问题，请私聊[[用户:趣木木|趣木木]]进行反映。页面形式为两段重复的英文文本及由彩云小译初步翻译出来的中文文本。译者点击右上角的“登录”，登录上自己的账号，在编辑页面的最上端写上“本词条由[[用户名]]初步翻译”。&lt;br /&gt;
&lt;br /&gt;
以[[LFR算法]]为例，可看到以下界面，只需查看第二次出现的英文原文，对比中文进行翻译。点击“编辑”，即可编辑页面，其具体操作为：&lt;br /&gt;
&lt;br /&gt;
[[File:编辑操作.png|1000px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''根据蓝色框内的英文，修改重译红色框中的中文。借助维基百科的英文原文进行翻译，利用翻译工具有彩云小译、网易有道翻译等翻译软件，译者需要自行翻译，将中文换为符合习惯的表达，多方查询相关释义，及时反馈，以确保专业性。'''&lt;br /&gt;
&lt;br /&gt;
[[File:翻译对比.png|1000px]]&lt;br /&gt;
对于页面的基本操作可查看[https://wiki.swarma.org/index.php?title=%E7%BC%96%E8%BE%91%E8%A7%84%E8%8C%83  编辑入门]&lt;br /&gt;
&lt;br /&gt;
===知识储备===&lt;br /&gt;
&lt;br /&gt;
可从集智学园，集智斑图以及公众号搜索相关资料，查看中文维基百科中相对应的词条，对词条内容有一个初步的认识和了解；将查阅到的资料、课程相关链接放到编者推荐、相关链接的内容中；可从[https://campus.swarma.org/ 集智学园]查看相关课程资源、在[https://swarma.org/ 集智俱乐部]中的集智斑图获取学习路径，从'''集智微信公众号： 集智俱乐部'''查看相关科普文章和学习资源。&lt;br /&gt;
&lt;br /&gt;
===明确生产职责===&lt;br /&gt;
译者需将英文wiki的原文通畅且较为准确、完整、专业的人工翻译出来，符合中文的语言表达，借助机器翻译但不完全是机器翻译。&lt;br /&gt;
===达到翻译过程中的生产要求===&lt;br /&gt;
====规范性====&lt;br /&gt;
&lt;br /&gt;
*专业名词格式&lt;br /&gt;
译者通过英文原文中含有链接的英文、小标题对应的英文确定哪些为专业名词。在确定过程中注意人名、机构、与词条本身的专业领域关系不大的名词不在考虑范围内，通过语法[[File:标橙语法.png|300px]]'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 专业名词&amp;lt;/font&amp;gt;'''即可对专业名词标橙。且将专业名词的格式设为“中文+英文”（注：不加括号,英文首字母均大写），示例:[[File:专业名词格式.png|200px]]&lt;br /&gt;
*文本格式&lt;br /&gt;
1、中文文本用中文对应括号（）  英文数学文本用英文对应括号()&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2、人名译名缩写大写 如j.a 实际上应为J.A&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3、排除多余的句点&amp;quot;。。&amp;quot;→&amp;quot;。&amp;quot;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4、中文文本用“。”而不是“.”  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5、变量采用斜体 ''N''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*图片的图注翻译格式&lt;br /&gt;
图注翻译格式为：【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
*文本统一&lt;br /&gt;
注意全文一致同一术语释义、同一人名释义（与集智俱乐部公众号一致）&lt;br /&gt;
&lt;br /&gt;
*利用讨论标注出省略翻译、意译的句子&lt;br /&gt;
利用讨论语法[[File:讨论.png|100px]]添加讨论&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句省译&lt;br /&gt;
 &lt;br /&gt;
*具体年份不宜省略翻译，如&amp;quot;2012年&amp;quot;不可只写&amp;quot;12年&amp;quot;&lt;br /&gt;
&lt;br /&gt;
====完整性====&lt;br /&gt;
避免存在漏译的情况，特别注意图注、“see also”部分、章节名的翻译完整。&lt;br /&gt;
&lt;br /&gt;
====专业性====&lt;br /&gt;
*词条标题核实&lt;br /&gt;
如果对词条标题的意思有异议，可以私聊[[用户:趣木木|趣木木]]进行反映。核实之后，会设置重定向。&lt;br /&gt;
*专业名词查询释义&lt;br /&gt;
对于筛选出来的专业名词请在[https://campus.swarma.org/translation/  翻译词库]中进行查询，不论是否查询得到，均需将专业名词标橙。对于查询到的释义，采用该专业名词释义；对于未查询到的释义，点击“新增翻译词”，补充上未查询到的英文，中文填为“待补充”。其具体操作如下，操作完毕即有下图中蓝色框内的形式。&lt;br /&gt;
[[File:词库新增.png|1000px]]&lt;br /&gt;
此外，还可在[http://dict.cnki.net/dict_result.aspx cnki翻译助手]里面初步检索专业名词，选取引用量最高的释义，待后续专家审校进行反馈纠正释义后，再将纠正的准确释义添加在[https://campus.swarma.org/translation/  翻译词库]中 &lt;br /&gt;
* 疑难句标绿&lt;br /&gt;
对于自己翻译不清楚、存疑的疑难句，采用语法[[File:段落标绿.png|250px]]将'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;疑难句&amp;lt;/font&amp;gt;'''进行标绿，且在后面附加上疑难句所对应的英文。&lt;br /&gt;
&lt;br /&gt;
====通顺性====&lt;br /&gt;
通读全文一至两遍，保证全文的语句通顺，符合语言表达，且释义统一。&lt;br /&gt;
&lt;br /&gt;
====进阶需求（不做要求）====&lt;br /&gt;
可在页面中加一个模块：专家对于该术语/概念的一些描述（从书籍资源中补充概念）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===复查词条===&lt;br /&gt;
至少通读一至两遍译文，按照[https://shimo.im/docs/pX8Pgy66gDjG9WCR  自审清单]进行自审，寻找是否有语序、逻辑不通的地方，前后表述并不一致的地方，以及同一单词尽量用同一释义；注意检查相关的术语加粗，变量斜体，公式是否显示正常，图片图注序号是否正确等格式问题；在确保自己已达到上述的生产要求后，递交给负责人[[用户:趣木木|趣木木]]，负责人进行通读，检查，反馈，译者进行修改。&lt;br /&gt;
&lt;br /&gt;
===复修改词条===&lt;br /&gt;
在规定时间内，负责人[[用户:趣木木|趣木木]]提交给审校，审校会添加讨论以及反馈，译者查看进行复核与复修改。'''（注：若被审校打回重译，所得积分减半）'''&lt;br /&gt;
===提交积分审核===&lt;br /&gt;
完成上述工作后，向负责人[[用户:趣木木|趣木木]]发送以下信息，以[[经济复杂性指数]]为例：&lt;br /&gt;
&lt;br /&gt;
 词条名：[[经济复杂性指数]]&lt;br /&gt;
 词条领取人：[[用户:趣木木|趣木木]]&lt;br /&gt;
 词条对应链接：https://wiki.swarma.org/index.php?title=%E7%BB%8F%E6%B5%8E%E5%A4%8D%E6%9D%82%E6%80%A7%E6%8C%87%E6%95%B0_Economic_Complexity_Index&lt;br /&gt;
 词条对应积分：30&lt;br /&gt;
 词条初次完成时间:2020.07.09(这里指提交给负责人审核的日期）&lt;br /&gt;
&lt;br /&gt;
负责人审核，确定词条达到要求后，记录积分。&lt;br /&gt;
&lt;br /&gt;
==新手提升==&lt;br /&gt;
===与审校部门联合进行相关培训===&lt;br /&gt;
接受一些定期对译者的培训，收集译者在翻译过程中存在的问题，进行分享解析；分享翻译时的一些技巧，以提高翻译能力。&lt;br /&gt;
===入门资源推荐===&lt;br /&gt;
&lt;br /&gt;
1.张江复杂性思维课程 （集智学园）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2.《复杂》梅拉妮·米歇尔，网上有视频课程（喜马拉雅APP）[https://www.complexityexplorer.org/courses/104-introduction-to-complexity  《复杂》]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3.教材《网络、群体与市场》，网上有[http://www.chinesemooc.org/mooc/4406 视频课程] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4.郝柏林：圣菲研究所与复杂性研究&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5.复杂性科学、网络科学、计算社会科学研究机构推介（北美篇）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
6.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用，集智斑图网站负责人如意整理的[https://pattern.swarma.org/path?id=22 路径1]  、[https://pattern.swarma.org/path?id=30 路径2]  、 [https://pattern.swarma.org/path?id=32&amp;quot; 路径3]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=13998</id>
		<title>集智百科翻译团队工作指南</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=13998"/>
		<updated>2020-09-14T05:10:57Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 领取任务 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==新手须知==&lt;br /&gt;
===创建账户===&lt;br /&gt;
确定自己是否有集智百科页面的用户账号，如果没有，私聊生产组负责人[[用户:趣木木|趣木木]]，添加微信，以创建属于自己的账号，并可以补充完善好自己的个人主页。&lt;br /&gt;
&lt;br /&gt;
===领取任务===&lt;br /&gt;
点击石墨文档中的链接[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表],在对应的任务表中选择自己感兴趣的词条，在“词条领取人”一栏中填上自己的用户名，并且根据自身情况估计完成日期，填写在“初次完成时间”中，并关注词条的“需求点”，在翻译过程中按照要求进行翻译。&lt;br /&gt;
注意：一般词条生产最晚应在一周内完成，根据所设积分可以大体推算完成日期。&lt;br /&gt;
如积分在20以下，完成时间往后退一至两天，积分为20-50区间内，完成时间往后退三至四天，积分为50以上，原则上在一周内完成。有特殊情况则私聊[[用户:趣木木|趣木木]]。'''提交完词条任务后，即时就在[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表]领取下次的词条。&lt;br /&gt;
'''&lt;br /&gt;
&lt;br /&gt;
===明确生产形式===&lt;br /&gt;
点击所领取词条下对应的“集智百科链接地址”，首先查看页面是否存在英文文本缺失的问题，若存在，点击对应的英文wiki地址进行补充。对于公式显示错误或遇到其余页面显示问题，请私聊[[用户:趣木木|趣木木]]进行反映。页面形式为两段重复的英文文本及由彩云小译初步翻译出来的中文文本。译者点击右上角的“登录”，登录上自己的账号，在编辑页面的最上端写上“本词条由[[用户名]]初步翻译”。&lt;br /&gt;
&lt;br /&gt;
以[[LFR算法]]为例，可看到以下界面，只需查看第二次出现的英文原文，对比中文进行翻译。点击“编辑”，即可编辑页面，其具体操作为：&lt;br /&gt;
&lt;br /&gt;
[[File:编辑操作.png|1000px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''根据蓝色框内的英文，修改重译红色框中的中文。借助维基百科的英文原文进行翻译，利用翻译工具有彩云小译、网易有道翻译等翻译软件，译者需要自行翻译，将中文换为符合习惯的表达，多方查询相关释义，及时反馈，以确保专业性。'''&lt;br /&gt;
&lt;br /&gt;
[[File:翻译对比.png|1000px]]&lt;br /&gt;
对于页面的基本操作可查看[https://wiki.swarma.org/index.php?title=%E7%BC%96%E8%BE%91%E8%A7%84%E8%8C%83  编辑入门]&lt;br /&gt;
&lt;br /&gt;
===知识储备===&lt;br /&gt;
&lt;br /&gt;
可从集智学园，集智斑图以及公众号搜索相关资料，查看中文维基百科中相对应的词条，对词条内容有一个初步的认识和了解；将查阅到的资料、课程相关链接放到编者推荐、相关链接的内容中；可从[https://campus.swarma.org/ 集智学园]查看相关课程资源、在[https://swarma.org/ 集智俱乐部]中的集智斑图获取学习路径，从'''集智微信公众号： 集智俱乐部'''查看相关科普文章和学习资源。&lt;br /&gt;
&lt;br /&gt;
===明确生产职责===&lt;br /&gt;
译者需将英文wiki的原文通畅且较为准确、完整、专业的人工翻译出来，符合中文的语言表达，借助机器翻译但不完全是机器翻译。&lt;br /&gt;
===达到翻译过程中的生产要求===&lt;br /&gt;
====规范性====&lt;br /&gt;
*专业名词格式&lt;br /&gt;
译者通过英文原文中含有链接的英文、小标题对应的英文确定哪些为专业名词。在确定过程中注意人名、机构、与词条本身的专业领域关系不大的名词不在考虑范围内，通过语法[[File:标橙语法.png|300px]]'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 专业名词&amp;lt;/font&amp;gt;'''即可对专业名词标橙。且将专业名词的格式设为“中文+英文”（注：不加括号,英文首字母均大写），示例:[[File:专业名词格式.png|200px]]&lt;br /&gt;
*文本格式&lt;br /&gt;
1、中文文本用中文对应括号（）  英文数学文本用英文对应括号()&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2、人名译名缩写大写 如j.a 实际上应为J.A&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3、排除多余的句点&amp;quot;。。&amp;quot;→&amp;quot;。&amp;quot;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4、中文文本用“。”而不是“.”  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5、变量采用斜体 ''N''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*图片的图注翻译格式&lt;br /&gt;
图注翻译格式为：【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
*文本统一&lt;br /&gt;
注意全文一致同一术语释义、同一人名释义（与集智俱乐部公众号一致）&lt;br /&gt;
&lt;br /&gt;
*利用讨论标注出省略翻译、意译的句子&lt;br /&gt;
利用讨论语法[[File:讨论.png|100px]]添加讨论&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句省译&lt;br /&gt;
 &lt;br /&gt;
*具体年份不宜省略翻译，如&amp;quot;2012年&amp;quot;不可只写&amp;quot;12年&amp;quot;&lt;br /&gt;
&lt;br /&gt;
====完整性====&lt;br /&gt;
避免存在漏译的情况，特别注意图注、“see also”部分、章节名的翻译完整。&lt;br /&gt;
&lt;br /&gt;
====专业性====&lt;br /&gt;
&lt;br /&gt;
*专业名词查询释义&lt;br /&gt;
对于筛选出来的专业名词请在[https://campus.swarma.org/translation/  翻译词库]中进行查询，不论是否查询得到，均需将专业名词标橙。对于查询到的释义，采用该专业名词释义；对于未查询到的释义，点击“新增翻译词”，补充上未查询到的英文，中文填为“待补充”。其具体操作如下，操作完毕即有下图中蓝色框内的形式。&lt;br /&gt;
[[File:词库新增.png|1000px]]&lt;br /&gt;
此外，还可在[http://dict.cnki.net/dict_result.aspx cnki翻译助手]里面初步检索专业名词，选取引用量最高的释义，待后续专家审校进行反馈纠正释义后，再将纠正的准确释义添加在[https://campus.swarma.org/translation/  翻译词库]中 &lt;br /&gt;
* 疑难句标绿&lt;br /&gt;
对于自己翻译不清楚、存疑的疑难句，采用语法[[File:段落标绿.png|250px]]将'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;疑难句&amp;lt;/font&amp;gt;'''进行标绿，且在后面附加上疑难句所对应的英文。&lt;br /&gt;
&lt;br /&gt;
====通顺性====&lt;br /&gt;
通读全文一至两遍，保证全文的语句通顺，符合语言表达，且释义统一。&lt;br /&gt;
&lt;br /&gt;
====进阶需求（不做要求）====&lt;br /&gt;
可在页面中加一个模块：专家对于该术语/概念的一些描述（从书籍资源中补充概念）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===复查词条===&lt;br /&gt;
至少通读一至两遍译文，按照[https://shimo.im/docs/pX8Pgy66gDjG9WCR  自审清单]进行自审，寻找是否有语序、逻辑不通的地方，前后表述并不一致的地方，以及同一单词尽量用同一释义；注意检查相关的术语加粗，变量斜体，公式是否显示正常，图片图注序号是否正确等格式问题；在确保自己已达到上述的生产要求后，递交给负责人[[用户:趣木木|趣木木]]，负责人进行通读，检查，反馈，译者进行修改。&lt;br /&gt;
&lt;br /&gt;
===复修改词条===&lt;br /&gt;
在规定时间内，负责人[[用户:趣木木|趣木木]]提交给审校，审校会添加讨论以及反馈，译者查看进行复核与复修改。'''（注：若被审校打回重译，所得积分减半）'''&lt;br /&gt;
===提交积分审核===&lt;br /&gt;
完成上述工作后，向负责人[[用户:趣木木|趣木木]]发送以下信息，以[[经济复杂性指数]]为例：&lt;br /&gt;
&lt;br /&gt;
 词条名：[[经济复杂性指数]]&lt;br /&gt;
 词条领取人：[[用户:趣木木|趣木木]]&lt;br /&gt;
 词条对应链接：https://wiki.swarma.org/index.php?title=%E7%BB%8F%E6%B5%8E%E5%A4%8D%E6%9D%82%E6%80%A7%E6%8C%87%E6%95%B0_Economic_Complexity_Index&lt;br /&gt;
 词条对应积分：30&lt;br /&gt;
 词条初次完成时间:2020.07.09(这里指提交给负责人审核的日期）&lt;br /&gt;
&lt;br /&gt;
负责人审核，确定词条达到要求后，记录积分。&lt;br /&gt;
&lt;br /&gt;
==新手提升==&lt;br /&gt;
===与审校部门联合进行相关培训===&lt;br /&gt;
接受一些定期对译者的培训，收集译者在翻译过程中存在的问题，进行分享解析；分享翻译时的一些技巧，以提高翻译能力。&lt;br /&gt;
===入门资源推荐===&lt;br /&gt;
&lt;br /&gt;
1.张江复杂性思维课程 （集智学园）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2.《复杂》梅拉妮·米歇尔，网上有视频课程（喜马拉雅APP）[https://www.complexityexplorer.org/courses/104-introduction-to-complexity  《复杂》]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3.教材《网络、群体与市场》，网上有[http://www.chinesemooc.org/mooc/4406 视频课程] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4.郝柏林：圣菲研究所与复杂性研究&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5.复杂性科学、网络科学、计算社会科学研究机构推介（北美篇）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
6.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用，集智斑图网站负责人如意整理的[https://pattern.swarma.org/path?id=22 路径1]  、[https://pattern.swarma.org/path?id=30 路径2]  、 [https://pattern.swarma.org/path?id=32&amp;quot; 路径3]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=13997</id>
		<title>集智百科翻译团队工作指南</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E9%9B%86%E6%99%BA%E7%99%BE%E7%A7%91%E7%BF%BB%E8%AF%91%E5%9B%A2%E9%98%9F%E5%B7%A5%E4%BD%9C%E6%8C%87%E5%8D%97&amp;diff=13997"/>
		<updated>2020-09-14T05:10:04Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 领取任务 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==新手须知==&lt;br /&gt;
===创建账户===&lt;br /&gt;
确定自己是否有集智百科页面的用户账号，如果没有，私聊生产组负责人[[用户:趣木木|趣木木]]，添加微信，以创建属于自己的账号，并可以补充完善好自己的个人主页。&lt;br /&gt;
&lt;br /&gt;
===领取任务===&lt;br /&gt;
点击石墨文档中的链接[https://shimo.im/sheets/VH8pVcJtDVHqyDCJ/hl9sY  词条生产总表],在对应的任务表中选择自己感兴趣的词条，在“词条领取人”一栏中填上自己的用户名，并且根据自身情况估计完成日期，填写在“初次完成时间”中，并关注词条的“需求点”，在翻译过程中按照要求进行翻译。&lt;br /&gt;
注意：一般词条生产最晚应在一周内完成，根据所设积分可以大体推算完成日期。&lt;br /&gt;
如积分在20以下，完成时间往后退一至两天，积分为20-50区间内，完成时间往后退三至四天，积分为50以上，原则上在一周内完成。有特殊情况则私聊[[用户:趣木木|趣木木]]。&lt;br /&gt;
&lt;br /&gt;
===明确生产形式===&lt;br /&gt;
点击所领取词条下对应的“集智百科链接地址”，首先查看页面是否存在英文文本缺失的问题，若存在，点击对应的英文wiki地址进行补充。对于公式显示错误或遇到其余页面显示问题，请私聊[[用户:趣木木|趣木木]]进行反映。页面形式为两段重复的英文文本及由彩云小译初步翻译出来的中文文本。译者点击右上角的“登录”，登录上自己的账号，在编辑页面的最上端写上“本词条由[[用户名]]初步翻译”。&lt;br /&gt;
&lt;br /&gt;
以[[LFR算法]]为例，可看到以下界面，只需查看第二次出现的英文原文，对比中文进行翻译。点击“编辑”，即可编辑页面，其具体操作为：&lt;br /&gt;
&lt;br /&gt;
[[File:编辑操作.png|1000px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''根据蓝色框内的英文，修改重译红色框中的中文。借助维基百科的英文原文进行翻译，利用翻译工具有彩云小译、网易有道翻译等翻译软件，译者需要自行翻译，将中文换为符合习惯的表达，多方查询相关释义，及时反馈，以确保专业性。'''&lt;br /&gt;
&lt;br /&gt;
[[File:翻译对比.png|1000px]]&lt;br /&gt;
对于页面的基本操作可查看[https://wiki.swarma.org/index.php?title=%E7%BC%96%E8%BE%91%E8%A7%84%E8%8C%83  编辑入门]&lt;br /&gt;
&lt;br /&gt;
===知识储备===&lt;br /&gt;
&lt;br /&gt;
可从集智学园，集智斑图以及公众号搜索相关资料，查看中文维基百科中相对应的词条，对词条内容有一个初步的认识和了解；将查阅到的资料、课程相关链接放到编者推荐、相关链接的内容中；可从[https://campus.swarma.org/ 集智学园]查看相关课程资源、在[https://swarma.org/ 集智俱乐部]中的集智斑图获取学习路径，从'''集智微信公众号： 集智俱乐部'''查看相关科普文章和学习资源。&lt;br /&gt;
&lt;br /&gt;
===明确生产职责===&lt;br /&gt;
译者需将英文wiki的原文通畅且较为准确、完整、专业的人工翻译出来，符合中文的语言表达，借助机器翻译但不完全是机器翻译。&lt;br /&gt;
===达到翻译过程中的生产要求===&lt;br /&gt;
====规范性====&lt;br /&gt;
*专业名词格式&lt;br /&gt;
译者通过英文原文中含有链接的英文、小标题对应的英文确定哪些为专业名词。在确定过程中注意人名、机构、与词条本身的专业领域关系不大的名词不在考虑范围内，通过语法[[File:标橙语法.png|300px]]'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 专业名词&amp;lt;/font&amp;gt;'''即可对专业名词标橙。且将专业名词的格式设为“中文+英文”（注：不加括号,英文首字母均大写），示例:[[File:专业名词格式.png|200px]]&lt;br /&gt;
*文本格式&lt;br /&gt;
1、中文文本用中文对应括号（）  英文数学文本用英文对应括号()&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2、人名译名缩写大写 如j.a 实际上应为J.A&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3、排除多余的句点&amp;quot;。。&amp;quot;→&amp;quot;。&amp;quot;&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4、中文文本用“。”而不是“.”  &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5、变量采用斜体 ''N''&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*图片的图注翻译格式&lt;br /&gt;
图注翻译格式为：【图1：英文原文＋翻译内容】&lt;br /&gt;
&lt;br /&gt;
*文本统一&lt;br /&gt;
注意全文一致同一术语释义、同一人名释义（与集智俱乐部公众号一致）&lt;br /&gt;
&lt;br /&gt;
*利用讨论标注出省略翻译、意译的句子&lt;br /&gt;
利用讨论语法[[File:讨论.png|100px]]添加讨论&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句省译&lt;br /&gt;
 &lt;br /&gt;
*具体年份不宜省略翻译，如&amp;quot;2012年&amp;quot;不可只写&amp;quot;12年&amp;quot;&lt;br /&gt;
&lt;br /&gt;
====完整性====&lt;br /&gt;
避免存在漏译的情况，特别注意图注、“see also”部分、章节名的翻译完整。&lt;br /&gt;
&lt;br /&gt;
====专业性====&lt;br /&gt;
&lt;br /&gt;
*专业名词查询释义&lt;br /&gt;
对于筛选出来的专业名词请在[https://campus.swarma.org/translation/  翻译词库]中进行查询，不论是否查询得到，均需将专业名词标橙。对于查询到的释义，采用该专业名词释义；对于未查询到的释义，点击“新增翻译词”，补充上未查询到的英文，中文填为“待补充”。其具体操作如下，操作完毕即有下图中蓝色框内的形式。&lt;br /&gt;
[[File:词库新增.png|1000px]]&lt;br /&gt;
此外，还可在[http://dict.cnki.net/dict_result.aspx cnki翻译助手]里面初步检索专业名词，选取引用量最高的释义，待后续专家审校进行反馈纠正释义后，再将纠正的准确释义添加在[https://campus.swarma.org/translation/  翻译词库]中 &lt;br /&gt;
* 疑难句标绿&lt;br /&gt;
对于自己翻译不清楚、存疑的疑难句，采用语法[[File:段落标绿.png|250px]]将'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;疑难句&amp;lt;/font&amp;gt;'''进行标绿，且在后面附加上疑难句所对应的英文。&lt;br /&gt;
&lt;br /&gt;
====通顺性====&lt;br /&gt;
通读全文一至两遍，保证全文的语句通顺，符合语言表达，且释义统一。&lt;br /&gt;
&lt;br /&gt;
====进阶需求（不做要求）====&lt;br /&gt;
可在页面中加一个模块：专家对于该术语/概念的一些描述（从书籍资源中补充概念）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===复查词条===&lt;br /&gt;
至少通读一至两遍译文，按照[https://shimo.im/docs/pX8Pgy66gDjG9WCR  自审清单]进行自审，寻找是否有语序、逻辑不通的地方，前后表述并不一致的地方，以及同一单词尽量用同一释义；注意检查相关的术语加粗，变量斜体，公式是否显示正常，图片图注序号是否正确等格式问题；在确保自己已达到上述的生产要求后，递交给负责人[[用户:趣木木|趣木木]]，负责人进行通读，检查，反馈，译者进行修改。&lt;br /&gt;
&lt;br /&gt;
===复修改词条===&lt;br /&gt;
在规定时间内，负责人[[用户:趣木木|趣木木]]提交给审校，审校会添加讨论以及反馈，译者查看进行复核与复修改。'''（注：若被审校打回重译，所得积分减半）'''&lt;br /&gt;
===提交积分审核===&lt;br /&gt;
完成上述工作后，向负责人[[用户:趣木木|趣木木]]发送以下信息，以[[经济复杂性指数]]为例：&lt;br /&gt;
&lt;br /&gt;
 词条名：[[经济复杂性指数]]&lt;br /&gt;
 词条领取人：[[用户:趣木木|趣木木]]&lt;br /&gt;
 词条对应链接：https://wiki.swarma.org/index.php?title=%E7%BB%8F%E6%B5%8E%E5%A4%8D%E6%9D%82%E6%80%A7%E6%8C%87%E6%95%B0_Economic_Complexity_Index&lt;br /&gt;
 词条对应积分：30&lt;br /&gt;
 词条初次完成时间:2020.07.09(这里指提交给负责人审核的日期）&lt;br /&gt;
&lt;br /&gt;
负责人审核，确定词条达到要求后，记录积分。&lt;br /&gt;
&lt;br /&gt;
==新手提升==&lt;br /&gt;
===与审校部门联合进行相关培训===&lt;br /&gt;
接受一些定期对译者的培训，收集译者在翻译过程中存在的问题，进行分享解析；分享翻译时的一些技巧，以提高翻译能力。&lt;br /&gt;
===入门资源推荐===&lt;br /&gt;
&lt;br /&gt;
1.张江复杂性思维课程 （集智学园）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2.《复杂》梅拉妮·米歇尔，网上有视频课程（喜马拉雅APP）[https://www.complexityexplorer.org/courses/104-introduction-to-complexity  《复杂》]&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
3.教材《网络、群体与市场》，网上有[http://www.chinesemooc.org/mooc/4406 视频课程] &amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
4.郝柏林：圣菲研究所与复杂性研究&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
5.复杂性科学、网络科学、计算社会科学研究机构推介（北美篇）&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
6.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
7.新英格兰复杂系统研究所长文综述：复杂系统科学及其应用，集智斑图网站负责人如意整理的[https://pattern.swarma.org/path?id=22 路径1]  、[https://pattern.swarma.org/path?id=30 路径2]  、 [https://pattern.swarma.org/path?id=32&amp;quot; 路径3]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%BD%91%E7%BB%9C%E7%A7%91%E5%AD%A6%E4%B8%93%E9%A2%98&amp;diff=13866</id>
		<title>网络科学专题</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%BD%91%E7%BB%9C%E7%A7%91%E5%AD%A6%E4%B8%93%E9%A2%98&amp;diff=13866"/>
		<updated>2020-09-09T14:54:31Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 理论 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== 张江——演化网络 ==&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[玻色-爱因斯坦凝聚]]&lt;br /&gt;
* [[双曲空间]]&lt;br /&gt;
* [[复杂网络双曲生长模型]]&lt;br /&gt;
* [[克洛内克积（Kronecker Product）]]&lt;br /&gt;
* [[克罗内克图]]&lt;br /&gt;
* [[网络的密集化现象（Densification）]]&lt;br /&gt;
* [[加速生长（Accelerating Growth）]]&lt;br /&gt;
* [[匹配生长模型]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
== 陈清华——无标度性质 ==&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[无标度网络]]&lt;br /&gt;
* [[无标度性]]&lt;br /&gt;
* [[度分布]]&lt;br /&gt;
* [[幂律分布]]&lt;br /&gt;
* [[80/20原则]]&lt;br /&gt;
* [[Pareto分布]]&lt;br /&gt;
* [[Zipf律]]&lt;br /&gt;
* [[分形]]&lt;br /&gt;
* [[自组织临界]]&lt;br /&gt;
* [[沙堆模型]]&lt;br /&gt;
* [[无标度网络的鲁棒性与脆弱性——阿喀琉斯之踵]]&lt;br /&gt;
* [[蒙特卡洛模拟]]&lt;br /&gt;
* [[KS检验]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
== 史定华——BA模型 ==&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[随机变量]]&lt;br /&gt;
* [[随机过程]]&lt;br /&gt;
* [[概率分布]]&lt;br /&gt;
* [[概率密度函数]]&lt;br /&gt;
* [[分布函数]]&lt;br /&gt;
* [[补分布函数]]&lt;br /&gt;
* [[幂律分布]]&lt;br /&gt;
* [[重尾分布]]&lt;br /&gt;
* [[幂律哀减尾部]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
== 许小可——随机网络 ==&lt;br /&gt;
&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[二项分布]]&lt;br /&gt;
* [[泊松分布]]&lt;br /&gt;
* [[幂率分布]]&lt;br /&gt;
* [[六度分离]]&lt;br /&gt;
* [[小世界]]&lt;br /&gt;
* [[相变]]&lt;br /&gt;
* [[临界点]]&lt;br /&gt;
* [[聚集系数]]&lt;br /&gt;
* [[巨连通分支]]&lt;br /&gt;
* [[度分布]]&lt;br /&gt;
* [[格子网络]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
== 陈关荣——网络鲁棒性 ==&lt;br /&gt;
 &lt;br /&gt;
[1] Percolation theory [仅需&amp;quot;阈值&amp;quot; (threshold) 的基本概念] &lt;br /&gt;
https://zh.wikipedia.org/wiki/%E6%B8%97%E6%B5%81%E7%90%86%E8%AE%BA &lt;br /&gt;
 &lt;br /&gt;
[2] Cascading failures [级联崩溃] &lt;br /&gt;
https://en.wikipedia.org/wiki/Cascading_failure &lt;br /&gt;
 &lt;br /&gt;
[3] Attacks [攻击] &lt;br /&gt;
Node-removal and edge-removal attacks [对节点和连边的攻击] &lt;br /&gt;
Random attack and malicious attack [随机攻击和恶意攻击] &lt;br /&gt;
Attack threshold [攻击凑效的阈值] &lt;br /&gt;
 &lt;br /&gt;
[4] Robustness (and Fragility) [鲁棒性（与 脆弱性）] &lt;br /&gt;
https://baike.baidu.com/item/%E9%B2%81%E6%A3%92%E6%80%A7 &lt;br /&gt;
https://en.wikipedia.org/wiki/Robustness_of_complex_networks &lt;br /&gt;
Achilles heel: https://baike.baidu.com/item/%E9%98%BF%E5%96%80%E7%90%89%E6%96%AF%E4%B9%8B%E8%B8%B5/340132?fromtitle=Achilles%20heel&amp;amp;fromid=8705928&lt;br /&gt;
&lt;br /&gt;
=== 理论 ===&lt;br /&gt;
==== 已有词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[图论]]&lt;br /&gt;
* [[WS小世界模型]]&lt;br /&gt;
* [[社区结构]]&lt;br /&gt;
* [[复杂网络]]&lt;br /&gt;
* [[网络效应]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
==== 待翻译词条 ==== &lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[网络可控性]]&lt;br /&gt;
* [[组合优化]]&lt;br /&gt;
* [[互惠性]]&lt;br /&gt;
* [[三元闭包]]&lt;br /&gt;
* [[同质性]]&lt;br /&gt;
* [[传递关系]]&lt;br /&gt;
* [[平衡理论]]&lt;br /&gt;
* [[社会影响]]&lt;br /&gt;
* [[复杂传染病]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
==== 待审校词条 ==== &lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[链路分析]]&lt;br /&gt;
* [[图的绘制]]&lt;br /&gt;
* [[演化网络]]&lt;br /&gt;
* [[相变]]&lt;br /&gt;
&lt;br /&gt;
* [[优先链接]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
=== 图的特征 ===&lt;br /&gt;
&lt;br /&gt;
==== 已翻译词条 ====&lt;br /&gt;
*[[超图]]&lt;br /&gt;
&lt;br /&gt;
==== 待翻译词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[团（图论）]] &lt;br /&gt;
* [[切]]&lt;br /&gt;
*[[图论常用概念表]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
==== 待审校词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[环]]&lt;br /&gt;
*[[邻接矩阵]]&lt;br /&gt;
*[[关联矩阵]]&lt;br /&gt;
*[[顶点]] &lt;br /&gt;
*[[路径]]&lt;br /&gt;
*[[二分图]]&lt;br /&gt;
*[[随机图]]&lt;br /&gt;
*[[图距离]]&lt;br /&gt;
*[[图（抽象数据类型）]]&lt;br /&gt;
&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 网络特性 ===&lt;br /&gt;
==== 已建立词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[集聚系数]]&lt;br /&gt;
* [[幂律分布]]&lt;br /&gt;
* [[节点中心性]]&lt;br /&gt;
* [[HITS算法]]&lt;br /&gt;
* [[六度分隔]]&lt;br /&gt;
* [[PageRank算法]]&lt;br /&gt;
* [[模块度]]&lt;br /&gt;
* [[链路预测]]&lt;br /&gt;
* [[随机网络模型]]&lt;br /&gt;
* [[渗流理论]]（待完善）&lt;br /&gt;
* [[无标度网络]]&lt;br /&gt;
&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== 待建立词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
&lt;br /&gt;
* [[布尔网络]] &lt;br /&gt;
*[[网络连通性]]&lt;br /&gt;
*[[LFR算法]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
==== 待审校词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[度]]&lt;br /&gt;
*[[度分布]] &lt;br /&gt;
*[[网络中心性]] &lt;br /&gt;
*[[介数中心性]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
=== 其他词条===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== 待建立词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[埃尔德什数理论]] &lt;br /&gt;
* [[巨连通分支]]&lt;br /&gt;
* [[鲁棒性]]&lt;br /&gt;
* [[攻击耐受性]]&lt;br /&gt;
* [[级联故障]]&lt;br /&gt;
* [[NP-难问题]] &lt;br /&gt;
{{div col end}}&lt;br /&gt;
==== 待审校词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[泊松分布]] &lt;br /&gt;
* [[枢纽节点]]&lt;br /&gt;
* [[社交网络]]&lt;br /&gt;
* [[层次聚类]]&lt;br /&gt;
* [[生物网络]]&lt;br /&gt;
{{div col end}}&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%BD%91%E7%BB%9C%E7%A7%91%E5%AD%A6%E4%B8%93%E9%A2%98&amp;diff=13865</id>
		<title>网络科学专题</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%BD%91%E7%BB%9C%E7%A7%91%E5%AD%A6%E4%B8%93%E9%A2%98&amp;diff=13865"/>
		<updated>2020-09-09T14:48:59Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
== 张江——演化网络 ==&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[玻色-爱因斯坦凝聚]]&lt;br /&gt;
* [[双曲空间]]&lt;br /&gt;
* [[复杂网络双曲生长模型]]&lt;br /&gt;
* [[克洛内克积（Kronecker Product）]]&lt;br /&gt;
* [[克罗内克图]]&lt;br /&gt;
* [[网络的密集化现象（Densification）]]&lt;br /&gt;
* [[加速生长（Accelerating Growth）]]&lt;br /&gt;
* [[匹配生长模型]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
== 陈清华——无标度性质 ==&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[无标度网络]]&lt;br /&gt;
* [[无标度性]]&lt;br /&gt;
* [[度分布]]&lt;br /&gt;
* [[幂律分布]]&lt;br /&gt;
* [[80/20原则]]&lt;br /&gt;
* [[Pareto分布]]&lt;br /&gt;
* [[Zipf律]]&lt;br /&gt;
* [[分形]]&lt;br /&gt;
* [[自组织临界]]&lt;br /&gt;
* [[沙堆模型]]&lt;br /&gt;
* [[无标度网络的鲁棒性与脆弱性——阿喀琉斯之踵]]&lt;br /&gt;
* [[蒙特卡洛模拟]]&lt;br /&gt;
* [[KS检验]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
== 史定华——BA模型 ==&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[随机变量]]&lt;br /&gt;
* [[随机过程]]&lt;br /&gt;
* [[概率分布]]&lt;br /&gt;
* [[概率密度函数]]&lt;br /&gt;
* [[分布函数]]&lt;br /&gt;
* [[补分布函数]]&lt;br /&gt;
* [[幂律分布]]&lt;br /&gt;
* [[重尾分布]]&lt;br /&gt;
* [[幂律哀减尾部]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
== 许小可——随机网络 ==&lt;br /&gt;
&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[二项分布]]&lt;br /&gt;
* [[泊松分布]]&lt;br /&gt;
* [[幂率分布]]&lt;br /&gt;
* [[六度分离]]&lt;br /&gt;
* [[小世界]]&lt;br /&gt;
* [[相变]]&lt;br /&gt;
* [[临界点]]&lt;br /&gt;
* [[聚集系数]]&lt;br /&gt;
* [[巨连通分支]]&lt;br /&gt;
* [[度分布]]&lt;br /&gt;
* [[格子网络]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
== 陈关荣——网络鲁棒性 ==&lt;br /&gt;
 &lt;br /&gt;
[1] Percolation theory [仅需&amp;quot;阈值&amp;quot; (threshold) 的基本概念] &lt;br /&gt;
https://zh.wikipedia.org/wiki/%E6%B8%97%E6%B5%81%E7%90%86%E8%AE%BA &lt;br /&gt;
 &lt;br /&gt;
[2] Cascading failures [级联崩溃] &lt;br /&gt;
https://en.wikipedia.org/wiki/Cascading_failure &lt;br /&gt;
 &lt;br /&gt;
[3] Attacks [攻击] &lt;br /&gt;
Node-removal and edge-removal attacks [对节点和连边的攻击] &lt;br /&gt;
Random attack and malicious attack [随机攻击和恶意攻击] &lt;br /&gt;
Attack threshold [攻击凑效的阈值] &lt;br /&gt;
 &lt;br /&gt;
[4] Robustness (and Fragility) [鲁棒性（与 脆弱性）] &lt;br /&gt;
https://baike.baidu.com/item/%E9%B2%81%E6%A3%92%E6%80%A7 &lt;br /&gt;
https://en.wikipedia.org/wiki/Robustness_of_complex_networks &lt;br /&gt;
Achilles heel: https://baike.baidu.com/item/%E9%98%BF%E5%96%80%E7%90%89%E6%96%AF%E4%B9%8B%E8%B8%B5/340132?fromtitle=Achilles%20heel&amp;amp;fromid=8705928&lt;br /&gt;
&lt;br /&gt;
=== 理论 ===&lt;br /&gt;
==== 已有词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[图论]]&lt;br /&gt;
* [[WS小世界模型]]&lt;br /&gt;
* [[社区结构]]&lt;br /&gt;
* [[复杂网络]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
==== 待翻译词条 ==== &lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[网络可控性]]&lt;br /&gt;
* [[组合优化]]&lt;br /&gt;
* [[互惠性]]&lt;br /&gt;
* [[三元闭包]]&lt;br /&gt;
* [[同质性]]&lt;br /&gt;
* [[传递关系]]&lt;br /&gt;
* [[平衡理论]]&lt;br /&gt;
* [[社会影响]]&lt;br /&gt;
* [[复杂传染病]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
==== 待审校词条 ==== &lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[链路分析]]&lt;br /&gt;
* [[图的绘制]]&lt;br /&gt;
* [[演化网络]]&lt;br /&gt;
* [[相变]]&lt;br /&gt;
* [[网络效应]]&lt;br /&gt;
* [[优先链接]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
=== 图的特征 ===&lt;br /&gt;
&lt;br /&gt;
==== 已翻译词条 ====&lt;br /&gt;
*[[超图]]&lt;br /&gt;
&lt;br /&gt;
==== 待翻译词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[团（图论）]] &lt;br /&gt;
* [[切]]&lt;br /&gt;
*[[图论常用概念表]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
==== 待审校词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[环]]&lt;br /&gt;
*[[邻接矩阵]]&lt;br /&gt;
*[[关联矩阵]]&lt;br /&gt;
*[[顶点]] &lt;br /&gt;
*[[路径]]&lt;br /&gt;
*[[二分图]]&lt;br /&gt;
*[[随机图]]&lt;br /&gt;
*[[图距离]]&lt;br /&gt;
*[[图（抽象数据类型）]]&lt;br /&gt;
&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 网络特性 ===&lt;br /&gt;
==== 已建立词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[集聚系数]]&lt;br /&gt;
* [[幂律分布]]&lt;br /&gt;
* [[节点中心性]]&lt;br /&gt;
* [[HITS算法]]&lt;br /&gt;
* [[六度分隔]]&lt;br /&gt;
* [[PageRank算法]]&lt;br /&gt;
* [[模块度]]&lt;br /&gt;
* [[链路预测]]&lt;br /&gt;
* [[随机网络模型]]&lt;br /&gt;
* [[渗流理论]]（待完善）&lt;br /&gt;
* [[无标度网络]]&lt;br /&gt;
&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== 待建立词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
&lt;br /&gt;
* [[布尔网络]] &lt;br /&gt;
*[[网络连通性]]&lt;br /&gt;
*[[LFR算法]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
==== 待审校词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[度]]&lt;br /&gt;
*[[度分布]] &lt;br /&gt;
*[[网络中心性]] &lt;br /&gt;
*[[介数中心性]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
=== 其他词条===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== 待建立词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[埃尔德什数理论]] &lt;br /&gt;
* [[巨连通分支]]&lt;br /&gt;
* [[鲁棒性]]&lt;br /&gt;
* [[攻击耐受性]]&lt;br /&gt;
* [[级联故障]]&lt;br /&gt;
* [[NP-难问题]] &lt;br /&gt;
{{div col end}}&lt;br /&gt;
==== 待审校词条 ====&lt;br /&gt;
{{div col|colwidth=15em}}&lt;br /&gt;
* [[泊松分布]] &lt;br /&gt;
* [[枢纽节点]]&lt;br /&gt;
* [[社交网络]]&lt;br /&gt;
* [[层次聚类]]&lt;br /&gt;
* [[生物网络]]&lt;br /&gt;
{{div col end}}&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%8C%B9%E9%85%8D%E7%94%9F%E9%95%BF%E6%A8%A1%E5%9E%8B&amp;diff=13837</id>
		<title>匹配生长模型</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%8C%B9%E9%85%8D%E7%94%9F%E9%95%BF%E6%A8%A1%E5%9E%8B&amp;diff=13837"/>
		<updated>2020-09-09T05:28:48Z</updated>

		<summary type="html">&lt;p&gt;趣木木：清空页面&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B7%A5%E4%BD%9C%E8%AE%B0%E5%BF%86&amp;diff=13098</id>
		<title>工作记忆</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B7%A5%E4%BD%9C%E8%AE%B0%E5%BF%86&amp;diff=13098"/>
		<updated>2020-08-20T16:28:05Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;已由[[Xebec]]进行初步翻译。&lt;br /&gt;
&lt;br /&gt;
{{short description|Cognitive system for temporarily holding information}}&lt;br /&gt;
&lt;br /&gt;
{{Use dmy dates|date=June 2020}}&lt;br /&gt;
&lt;br /&gt;
'''Working memory''' is a cognitive system with a limited capacity that can [[Memory|hold information]] temporarily.&amp;lt;ref&amp;gt;{{Cite book|title=Models of working memory. Mechanisms of active maintenance and executive control|editor1=Miyake, A.|editor2=Shah, P.|publisher=Cambridge University Press|year=1999 |isbn=0-521-58325-X}}&amp;lt;/ref&amp;gt; Working memory is important for reasoning and the guidance of decision-making and behavior.&amp;lt;ref name=&amp;quot;Executive functions&amp;quot;&amp;gt;{{cite journal | author = Diamond A | title = Executive functions | journal = Annu Rev Psychol | volume = 64 | pages = 135–168 | year = 2013 | pmid = 23020641 | pmc = 4084861 | doi = 10.1146/annurev-psych-113011-143750 | quote = WM (holding information in mind and manipulating it) is distinct from short-term memory (just holding information in mind). They cluster onto separate factors in factor analyses of children, adolescents, and adults (Alloway et al. 2004, Gathercole et al. 2004). They are linked to different neural subsystems. WM relies more on dorsolateral prefrontal cortex, whereas maintaining information in mind but not manipulating it [as long as the number of items is not huge (suprathreshold)] does not need involvement of dorsolateral prefrontal cortex (D’Esposito et al. 1999, Eldreth et al. 2006, Smith &amp;amp; Jonides 1999). Imaging studies show frontal activation only in ventrolateral prefrontal cortex for memory maintenance that is not suprathreshold.&amp;lt;br /&amp;gt;&amp;lt;br /&amp;gt;WM and short-term memory also show different developmental progressions; the latter develops earlier and faster.}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;NHM-Cognitive Control&amp;quot;&amp;gt;{{cite book|title=Molecular Neuropharmacology: A Foundation for Clinical Neuroscience|vauthors=Malenka RC, Nestler EJ, Hyman SE|publisher=McGraw-Hill Medical|year=2009|isbn=978-0-07-148127-4|veditors=Sydor A, Brown RY|edition=2nd|location=New York|pages=313–321|chapter=Chapter 13: Higher Cognitive Function and Behavioral Control|quote={{bull}} Executive function, the cognitive control of behavior, depends on the prefrontal cortex, which is highly developed in higher primates and especially humans.&amp;lt;br /&amp;gt;{{bull}} Working memory is a short-term, capacity-limited cognitive buffer that stores information and permits its manipulation to guide decision-making and behavior.&amp;amp;nbsp;...&amp;lt;br /&amp;gt; working memory may be impaired in ADHD, the most common childhood psychiatric disorder seen in clinical settings&amp;amp;nbsp;... ADHD can be conceptualized as a disorder of executive function; specifically, ADHD is characterized by reduced ability to exert and maintain cognitive control of behavior. Compared with healthy individuals, those with ADHD have diminished ability to suppress inappropriate prepotent responses to stimuli (impaired response inhibition) and diminished ability to inhibit responses to irrelevant stimuli (impaired interference suppression).&amp;amp;nbsp;... Early results with structural MRI show thinning of the cerebral cortex in ADHD subjects compared with age-matched controls in prefrontal cortex and posterior parietal cortex, areas involved in working memory and attention.}}&amp;lt;/ref&amp;gt; Working memory is often used synonymously with [[short-term memory]], but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information.&amp;lt;ref name=&amp;quot;Executive functions&amp;quot; /&amp;gt;&amp;lt;ref name=&amp;quot;Cowan&amp;quot;&amp;gt;{{Cite book | title = What are the differences between long-term, short-term, and working memory? | author=Cowan, Nelson | journal=Prog. Brain Res. | year=2008 | issue=169 | pages=323–338 |pmid=18394484 | doi=10.1016/S0079-6123(07)00020-9 | pmc=2657600 | volume=169| series=Progress in Brain Research | isbn=978-0-444-53164-3 }}&amp;lt;/ref&amp;gt; Working memory is a theoretical concept central to [[cognitive psychology]], neuropsychology, and [[neuroscience]].&lt;br /&gt;
&lt;br /&gt;
Working memory is a cognitive system with a limited capacity that can hold information temporarily. Working memory is important for reasoning and the guidance of decision-making and behavior. Working memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information. Working memory is a theoretical concept central to cognitive psychology, neuropsychology, and neuroscience.&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;工作记忆 Working Memory&amp;lt;/font&amp;gt;'''是一种能临时容纳有限信息的认知系统，对推理、决策倾向和行为倾向起到至关作用。工作记忆常作为短期记忆的同义词，但一些理论学者认为工作记忆能够处理所调用的既存信息，而'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;短期记忆 Short-term Memory&amp;lt;/font&amp;gt;''', 仅指短期存储的信息，故二者不同。工作记忆是认知心理学、神经心理学和神经科学的核心理论概念。&lt;br /&gt;
&lt;br /&gt;
== 历史 History ==&lt;br /&gt;
&lt;br /&gt;
The term &amp;quot;working memory&amp;quot; was coined by [[George Armitage Miller|Miller]], [[Eugene Galanter|Galanter]], and [[Karl H. Pribram|Pribram]],&amp;lt;ref name=&amp;quot;isbn0-03-010075-5&amp;quot;&amp;gt;{{cite book |author1=Pribram, Karl H. |author2=Miller, George A. |author3=Galanter, Eugene |title=Plans and the structure of behavior |publisher=Holt, Rinehart and Winston |location=New York |year=1960 |pages=[https://archive.org/details/plansstructureo00mill/page/65 65] |isbn=978-0-03-010075-8 |oclc=190675 |url-access=registration |url=https://archive.org/details/plansstructureo00mill/page/65 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|author=Baddeley A |title=Working memory: looking back and looking forward |journal=Nature Reviews Neuroscience |volume=4 |issue=10 |pages=829–39 |date=October 2003 |pmid=14523382 |doi=10.1038/nrn1201}}&amp;lt;/ref&amp;gt; and was used in the 1960s in the context of theories that likened the mind to a computer. In 1968, [[Atkinson–Shiffrin memory model|Atkinson and Shiffrin]]&amp;lt;ref name=&amp;quot;Atkinson Shiffrin 1968&amp;quot;&amp;gt;{{cite book | last1 = Atkinson    | first1 = R.C. | last2 = Shiffrin | first2 = R.M.  | title = Human Memory: A Proposed System and its Control Processes | volume = 2 |pages = 89–195| editor1 = Kenneth W Spence |editor2= Janet T Spence | work = The psychology of learning and motivation | publisher = Academic Press | year = 1968 | isbn = 978-0-12-543302-0 |oclc = 185468704 |doi = 10.1016/S0079-7421(08)60422-3}}&amp;lt;/ref&amp;gt; used the term to describe their &amp;quot;short-term store&amp;quot;. What we now call working memory was formerly referred to variously as a &amp;quot;short-term store&amp;quot; or [[short-term memory]], primary memory, immediate memory, operant memory, and provisional memory.&amp;lt;ref name=&amp;quot;Fuster 1997&amp;quot;&amp;gt;{{cite book |author=Fuster, Joaquin M. |title=The prefrontal cortex: anatomy, physiology, and neuropsychology of the frontal lobe |publisher=Lippincott-Raven |location=Philadelphia |year=1997 |isbn=978-0-397-51849-4 |oclc=807338522 }}{{Page needed|date=September 2010}}&amp;lt;/ref&amp;gt; Short-term memory is the ability to remember information over a brief period (in the order of seconds). Most theorists today use the concept of working memory to replace or include the older concept of short-term memory, marking a stronger emphasis on the notion of manipulating information rather than mere maintenance.&lt;br /&gt;
&lt;br /&gt;
The term &amp;quot;working memory&amp;quot; was coined by Miller, Galanter, and Pribram, and was used in the 1960s in the context of theories that likened the mind to a computer. In 1968, Atkinson and Shiffrin used the term to describe their &amp;quot;short-term store&amp;quot;. What we now call working memory was formerly referred to variously as a &amp;quot;short-term store&amp;quot; or short-term memory, primary memory, immediate memory, operant memory, and provisional memory. Short-term memory is the ability to remember information over a brief period (in the order of seconds). Most theorists today use the concept of working memory to replace or include the older concept of short-term memory, marking a stronger emphasis on the notion of manipulating information rather than mere maintenance.&lt;br /&gt;
&lt;br /&gt;
“'''&amp;lt;font color=&amp;quot;#ff800&amp;quot;&amp;gt;工作记忆 Working Memory&amp;lt;/font&amp;gt;'''”这个术语由米勒 Miller、加兰特 Galanter和普里布拉姆 Pribram 提出，在20世纪60年代用于把大脑类比作计算机的理论中。1968年，阿特金森 Atkinson和谢福林 Shiffrin 用该术语来表述“短期存储”。我们现在所说的工作记忆就是之前的“短期存储”、“短期记忆”、“初级记忆”、“即时记忆”、“操作记忆”或“临时记忆”。短期记忆是在再短时间内（以秒为单位）记住信息的能力。大多数理论学者现在使用“工作记忆”概念取代或包含早期“短期记忆”的概念，体现出更强调信息操纵的观念。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The earliest mention of experiments on the neural basis of working memory can be traced back to more than 100 years ago, when [[Eduard Hitzig|Hitzig]] and [[David Ferrier|Ferrier]] described [[ablation]] experiments of the [[prefrontal cortex]] (PFC); they concluded that the frontal cortex was important for cognitive rather than sensory processes.&amp;lt;ref name=Fuster1&amp;gt;{{Cite book|last1= Fuster|first1= Joaquin |title= The prefrontal cortex |page= 126 |url= https://books.google.com/books?id=zuZlvNICdhUC&amp;amp;pg=PT140 |edition= 4 |year= 2008 |publisher= Elsevier |location= Oxford, UK |isbn= 978-0-12-373644-4}}&amp;lt;/ref&amp;gt; In 1935 and 1936, Carlyle Jacobsen and colleagues were the first to show the deleterious effect of prefrontal ablation on delayed response.&amp;lt;ref name=Fuster1 /&amp;gt;&amp;lt;ref name=Benton&amp;gt;{{Cite book|last1= Benton|first1= A.&amp;amp;nbsp;L.|editor1-first= Harvey,&amp;amp;nbsp;S.|editor1-last= Levin|editor2-first= Howard,&amp;amp;nbsp;M.|editor2-last= Eisenberg|editor3-first= Arthur,&amp;amp;nbsp;L.|editor3-last= Benton|title= Frontal lobe function and dysfunction|chapter-url= https://books.google.com/books?id=9b1htO0V0rwC&amp;amp;pg=PA19&amp;amp;lpg=PA19&amp;amp;dq=Jacobsen++prefrontal+ablation&amp;amp;q=Jacobsen%20%20prefrontal%20ablation|year= 1991|publisher= Oxford University Press|location= New York|isbn= 978-0-19-506284-7|page= 19|chapter= The prefrontal region:Its early history}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The earliest mention of experiments on the neural basis of working memory can be traced back to more than 100 years ago, when Hitzig and Ferrier described ablation experiments of the prefrontal cortex (PFC); they concluded that the frontal cortex was important for cognitive rather than sensory processes. In 1935 and 1936, Carlyle Jacobsen and colleagues were the first to show the deleterious effect of prefrontal ablation on delayed response.&lt;br /&gt;
&lt;br /&gt;
提及工作记忆神经学基础的实验最早可追溯到100多年前希齐格 Hitzig 和费里尔 Ferrier 用于描述前额叶皮质消融实验研究（PFC），当时得出结论认为额叶皮层对认知程序比对感官程序更重要。在1935年和1936年， 卡莱尔 · 雅各布森 Carlyle Jacobsen及其同事们首次揭示了前额叶切除对延时反映的不良影响。&lt;br /&gt;
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== 理论 Theories ==&lt;br /&gt;
&lt;br /&gt;
Numerous models have been proposed for how working memory functions, both anatomically and cognitively. Of those, the two that have been most influential are summarized below.&lt;br /&gt;
&lt;br /&gt;
Numerous models have been proposed for how working memory functions, both anatomically and cognitively. Of those, the two that have been most influential are summarized below.&lt;br /&gt;
&lt;br /&gt;
在解刨学和认知学上，神经模型已经提出工作记忆发挥功能的机制，其中最有影响力的两个模型概括如下：&lt;br /&gt;
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=== 多组件模型 The multicomponent model ===&lt;br /&gt;
&lt;br /&gt;
{{Main|Baddeley's model of working memory}}&lt;br /&gt;
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[[File:Baddeley and Hitch's Working Memory Model.png|thumb|300px|巴德利 Baddeley和希池 Hitch 的工作记忆模型]]&lt;br /&gt;
 [图1：巴德利 Baddeley和希池 Hitch 的工作记忆模型 Baddeley and Hitch's model of working memory ]&lt;br /&gt;
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In 1974, [[Alan Baddeley|Baddeley]] and [[Graham Hitch|Hitch]]&amp;lt;ref name=&amp;quot;Baddeley Hitch 1974&amp;quot;&amp;gt;{{cite book | last1 = Baddeley    | first1 = Alan D.  | last2 = Hitch | first2 = Graham  | title = Working Memory | volume = 2 | editor = Gordon H. Bower | work = The psychology of learning and motivation | publisher = Academic Press | year = 1974 | pages = 47–89 | isbn = 978-0-12-543308-2 |oclc = 777285348 |doi= 10.1016/S0079-7421(08)60452-1}}&amp;lt;/ref&amp;gt; introduced the [[Baddeley's model of working memory|multicomponent model of working memory]]. The theory proposed a model containing three components: the central executive, the phonological loop, and the visuospatial sketchpad with the central executive functioning as a control center of sorts, directing info between the phonological and visuospatial components.&amp;lt;ref name=&amp;quot;Levin 2011&amp;quot;&amp;gt;{{Cite book|title = Working Memory : Capacity, Developments and Improvement Techniques|last = Levin|first = E.S.|publisher = [[Nova Science Publishers, Inc.]]|year = 2011|location = New York}}&amp;lt;/ref&amp;gt; The [[Baddeley's model of working memory#Central executive|central executive]] is responsible for, among other things, directing [[attention]] to relevant information, suppressing irrelevant information and inappropriate actions, and coordinating cognitive processes when more than one task is simultaneously performed. A &amp;quot;central executive&amp;quot; is responsible for supervising the integration of information and for coordinating subordinate systems responsible for the short-term maintenance of information. One subordinate system, the [[phonological loop]] (PL), stores phonological information (that is, the sound of language) and prevents its decay by continuously refreshing it in a [[memory rehearsal|rehearsal]] loop. It can, for example, maintain a seven-digit telephone number for as long as one repeats the number to oneself again and again.&amp;lt;ref&amp;gt;{{Cite book|title = Variations in psychology|last = Weiten|first = W.|publisher = Wadsworth|year = 2013|location = New York|pages = 281–282|edition = 9}}&amp;lt;/ref&amp;gt; The other subordinate system, the [[Baddeley's model of working memory#Visuospatial sketchpad|visuospatial sketchpad]], stores visual and spatial information. It can be used, for example, for constructing and manipulating visual images and for representing mental maps. The sketchpad can be further broken down into a visual subsystem (dealing with such phenomena as shape, colour, and texture), and a spatial subsystem (dealing with location).&lt;br /&gt;
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In 1974, Baddeley and Hitch introduced the multicomponent model of working memory. The theory proposed a model containing three components: the central executive, the phonological loop, and the visuospatial sketchpad with the central executive functioning as a control center of sorts, directing info between the phonological and visuospatial components. The central executive is responsible for, among other things, directing attention to relevant information, suppressing irrelevant information and inappropriate actions, and coordinating cognitive processes when more than one task is simultaneously performed. A &amp;quot;central executive&amp;quot; is responsible for supervising the integration of information and for coordinating subordinate systems responsible for the short-term maintenance of information. One subordinate system, the phonological loop (PL), stores phonological information (that is, the sound of language) and prevents its decay by continuously refreshing it in a rehearsal loop. It can, for example, maintain a seven-digit telephone number for as long as one repeats the number to oneself again and again. The other subordinate system, the visuospatial sketchpad, stores visual and spatial information. It can be used, for example, for constructing and manipulating visual images and for representing mental maps. The sketchpad can be further broken down into a visual subsystem (dealing with such phenomena as shape, colour, and texture), and a spatial subsystem (dealing with location).&lt;br /&gt;
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1974年，巴德利 Baddeley和希池 Hitch提出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;工作记忆多组件模型 Multicomponent Model of Working Memory&amp;lt;/font&amp;gt;'''，是一个包含三个组件的模型：中央执行器组件、语音回路组件、视觉绘板组件，其中'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;中央执行器 Central Executive&amp;lt;/font&amp;gt;'''作为某种控制中心，负责疏导语音回路和视觉绘板之间的信息传递。中央处理器还负责对有关信息的注意力引导，对无关信息及不当行为的抑制，对多任务同时执行时认知程序的协调等。中央执行器还负责监督信息的整合、以及对负责短期信息维护的子系统间的协调。'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;语音回路（PL） Phonological Loop (PL)&amp;lt;/font&amp;gt;'''存储语音信息并不断刷新以防止其衰退，例如一个7位数的电话号码只要持续刷新就可一直保持。而'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;视觉绘板 Visuospatial Sketchpad&amp;lt;/font&amp;gt;'''存储视觉和空间信息，例如构建、操控视觉图像及展现精神世界。视觉绘板还可进一步分为视觉子系统（处理形状、颜色和纹理等现象）和空间子系统（处理位置）。&lt;br /&gt;
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In 2000, Baddeley extended the model by adding a fourth component, the [[Baddeley's model of working memory#Episodic buffer|episodic buffer]], which holds representations that integrate phonological, visual, and spatial information, and possibly information not covered by the subordinate systems (e.g.,&amp;amp;nbsp;semantic information, musical information). The episodic buffer is also the link between working memory and long-term memory.&amp;lt;ref name=&amp;quot;Weiten 2013 281–282&amp;quot;&amp;gt;{{Cite book|title = Variations in psychology|last = Weiten|first = W.|publisher = Wadsworth|year = 2013|location = Belmont, CA|pages = 281–282|edition = 9}}&amp;lt;/ref&amp;gt; The component is episodic because it is assumed to bind information into a unitary episodic representation. The episodic buffer resembles Tulving's concept of [[episodic memory]], but it differs in that the episodic buffer is a temporary store.&amp;lt;ref&amp;gt;{{cite journal | url=http://nbu.bg/cogs/events/2002/materials/Markus/ep_bufer.pdf | title=The episodic buffer: a new component of working memory? | author=Baddeley, A. D. | journal=Trends Cogn. Sci. | year=2000 | volume=4 | issue=11 | pages=417–423 | doi=10.1016/S1364-6613(00)01538-2 | pmid=11058819}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In 2000, Baddeley extended the model by adding a fourth component, the episodic buffer, which holds representations that integrate phonological, visual, and spatial information, and possibly information not covered by the subordinate systems (e.g.,&amp;amp;nbsp;semantic information, musical information). The episodic buffer is also the link between working memory and long-term memory. The component is episodic because it is assumed to bind information into a unitary episodic representation. The episodic buffer resembles Tulving's concept of episodic memory, but it differs in that the episodic buffer is a temporary store.&lt;br /&gt;
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2000年，巴德利 Baddeley 增加了第四个组件——'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;情景缓冲区 Episodic Buffer&amp;lt;/font&amp;gt;'''扩展了该模型。情景缓冲区包含并一体化地描述语音、视觉、空间信息，及可能未被子系统涵盖的信息（例如语义、音乐）。情景缓冲区也是工作记忆和长期记忆之间的枢纽。该组件的基本假设是把信息绑定到单一情节表示，因此是情节性的。情景缓冲区与图尔文 Tulving'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;情景记忆 Episodic Memory&amp;lt;/font&amp;gt;'''的概念类似，不同之处在于情景缓冲区是临时存储。&lt;br /&gt;
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=== 作为长期记忆一部分的工作记忆 Working memory as part of long-term memory ===&lt;br /&gt;
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{{Annotated image|caption=The central executive of working memory is retrieving memory from long-term memory.|image=WorkingMemory Label Free.jpg|width=320|height=179|image-width=320|image-left=0|image-top=0|annotations={{Annotation|130|15|Central Executive|font-weight=bold|font-size=10}}&lt;br /&gt;
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{{Annotation|10|160|Long-term Memory|font-weight=bold|font-size=10}}}}[[Anders Ericsson]] and [[Walter Kintsch]]&amp;lt;ref&amp;gt;{{cite journal|year=1995|title=Long-term working memory.|journal=Psychological Review|volume=102|issue=2|pages=211–245|doi=10.1037/0033-295X.102.2.211|pmid=7740089|author=Ericsson, K. A.|author2=Kintsch, W.|lastauthoramp=y}}&amp;lt;/ref&amp;gt; have introduced the notion of &amp;quot;long-term working memory&amp;quot;, which they define as a set of &amp;quot;retrieval structures&amp;quot; in long-term memory that enable seamless access to the information relevant for everyday tasks. In this way, parts of long-term memory effectively function as working memory. In a similar vein, [[Nelson Cowan|Cowan]] does not regard working memory as a separate system from [[long-term memory]]. Representations in working memory are a subset of representations in long-term memory. Working memory is organized into two embedded levels. The first consists of long-term memory representations that are activated. There can be many of these—there is theoretically no limit to the activation of representations in long-term memory. The second level is called the focus of attention. The focus is regarded as having a limited capacity and holds up to four of the activated representations.&amp;lt;ref name=&amp;quot;Cowan 1995&amp;quot;&amp;gt;{{cite book |author=Cowan, Nelson |title=Attention and memory: an integrated framework |publisher=Oxford University Press |location=Oxford [Oxfordshire] |year=1995 |isbn=978-0-19-506760-6 |oclc=30475237 }}{{Page needed|date=September 2010}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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}}Anders Ericsson and Walter Kintsch have introduced the notion of &amp;quot;long-term working memory&amp;quot;, which they define as a set of &amp;quot;retrieval structures&amp;quot; in long-term memory that enable seamless access to the information relevant for everyday tasks. In this way, parts of long-term memory effectively function as working memory. In a similar vein, Cowan does not regard working memory as a separate system from long-term memory. Representations in working memory are a subset of representations in long-term memory. Working memory is organized into two embedded levels. The first consists of long-term memory representations that are activated. There can be many of these—there is theoretically no limit to the activation of representations in long-term memory. The second level is called the focus of attention. The focus is regarded as having a limited capacity and holds up to four of the activated representations.&lt;br /&gt;
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安德斯 · 埃里克森 Anders Ericsson 和沃尔特 · 金奇  Walter Kintsch 引入了“'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;长期工作记忆 Long-term Working Memory&amp;lt;/font&amp;gt;'''”的概念，其定义为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;长期记忆 Long-term Memory&amp;lt;/font&amp;gt;'''中能让人无缝获取日常所需信息的一组“检索结构” 。即一部分长期记忆有效地发挥了工作记忆的功能。同样，考恩 Cowan 并不认为工作记忆是独立于长期记忆的系统。工作记忆中的表征是长期记忆中表征的一个子集。工作记忆被组织成两个嵌入层次。第一层包括被激活的长期记忆表征（可能很多，鉴于理论上在长时记忆中表征的激活是没有上限的）。第二层叫做注意力焦点，焦点是一个最多可容纳四个激活表征的有限能力。&lt;br /&gt;
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Oberauer has extended Cowan's model by adding a third component, a more narrow focus of attention that holds only one chunk at a time. The one-element focus is embedded in the four-element focus and serves to select a single chunk for processing. For example, four digits can be held in mind at the same time in Cowan's &amp;quot;focus of attention&amp;quot;. When the individual wishes to perform a process on each of these digits—for example, adding the number two to each digit—separate processing is required for each digit since most individuals cannot perform several mathematical processes in parallel.&amp;lt;ref&amp;gt;{{Cite journal|title = Attention, working memory, and long-term memory in multimedia learning: A integrated perspective based on process models of working memory|last = Schweppe|first = J.|date = 2014|journal = Educational Psychology Review|doi = 10.1007/s10648-013-9242-2|issue = 2|volume = 26|page = 289}}&amp;lt;/ref&amp;gt; Oberauer's attentional component selects one of the digits for processing and then shifts the attentional focus to the next digit, continuing until all digits have been processed.&amp;lt;ref&amp;gt;{{Cite journal|author=Oberauer K |title=Access to information in working memory: exploring the focus of attention |journal=Journal of Experimental Psychology: Learning, Memory, and Cognition |volume=28 |issue=3 |pages=411–21 |date=May 2002 |pmid=12018494 |doi=10.1037/0278-7393.28.3.411|citeseerx=10.1.1.163.4979 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Oberauer has extended Cowan's model by adding a third component, a more narrow focus of attention that holds only one chunk at a time. The one-element focus is embedded in the four-element focus and serves to select a single chunk for processing. For example, four digits can be held in mind at the same time in Cowan's &amp;quot;focus of attention&amp;quot;. When the individual wishes to perform a process on each of these digits—for example, adding the number two to each digit—separate processing is required for each digit since most individuals cannot perform several mathematical processes in parallel. Oberauer's attentional component selects one of the digits for processing and then shifts the attentional focus to the next digit, continuing until all digits have been processed.&lt;br /&gt;
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奥伯奥尔 Oberauer 通过添加第三个组件扩展了考恩 Cowan 的模型，第三个组件是一个更窄的注意焦点，一次只能容纳一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;组块 Chunk&amp;lt;/font&amp;gt;'''。一元素焦点系统嵌入在四元素焦点系统中，用于选择要处理的单个块。例如，在考恩 Cowan 的“注意力焦点”中，四个数字可以同时出现在脑海中。当个体要对每个数字进行处理时（例如，将数字2加到每个数字）就要对每个数字进行独立处理（因大多数个人不能同时进行多个数学处理）。奥伯奥尔 Oberauer 的注意力组件将选择其中一个数字进行处理，然后将注意力的焦点转到下一个数字，直到所有数字都处理完毕。&lt;br /&gt;
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== 容量 Capacity ==&lt;br /&gt;
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Working memory is widely acknowledged as having limited capacity. An early quantification of the capacity limit associated with short-term memory was the &amp;quot;[[The Magical Number Seven, Plus or Minus Two|magical number seven]]&amp;quot; suggested by Miller in 1956.&amp;lt;ref name=&amp;quot;miller&amp;quot;&amp;gt;{{Cite journal|author=Miller GA |title=The magical number seven plus or minus two: some limits on our capacity for processing information |journal=Psychological Review |volume=63 |issue=2 |pages=81–97 |date=March 1956 |pmid=13310704 |doi=10.1037/h0043158|citeseerx=10.1.1.308.8071 }} Republished: {{Cite journal|author=Miller GA |title=The magical number seven, plus or minus two: some limits on our capacity for processing information. 1956 |journal=Psychological Review |volume=101 |issue=2 |pages=343–52 |date=April 1994 |pmid=8022966 |doi=10.1037/0033-295X.101.2.343}}&amp;lt;/ref&amp;gt; He claimed that the information-processing capacity of young adults is around seven elements, which he called &amp;quot;chunks&amp;quot;, regardless of whether the elements are digits, letters, words, or other units. Later research revealed this number depends on the category of chunks used (e.g., span may be around seven for digits, six for letters, and five for words), and even on features of the [[chunking (psychology)|chunks]] within a category. For instance, span is lower for long than short words. In general, memory span for verbal contents (digits, letters, words, etc.) depends on the phonological complexity of the content (i.e., the number of phonemes, the number of syllables),&amp;lt;ref&amp;gt;{{Cite journal|last=Service|first=Elisabet|date=1998-05-01|title=The Effect of Word Length on Immediate Serial Recall Depends on Phonological Complexity, Not Articulatory Duration|journal=The Quarterly Journal of Experimental Psychology Section A|volume=51|issue=2|pages=283–304|doi=10.1080/713755759|issn=0272-4987}}&amp;lt;/ref&amp;gt; and on the lexical status of the contents (whether the contents are words known to the person or not).&amp;lt;ref&amp;gt;{{Cite journal|first1=Charles |last1=Hulme |first2=Steven |last2=Roodenrys |first3=Gordon |last3=Brown |first4=Robin |last4=Mercer |date=November 1995 |title=The role of long-term memory mechanisms in memory span |journal=British Journal of Psychology |volume=86 |issue=4 |pages=527–36 |doi=10.1111/j.2044-8295.1995.tb02570.x}}&amp;lt;/ref&amp;gt; Several other factors affect a person's measured span, and therefore it is difficult to pin down the capacity of short-term or working memory to a number of chunks. Nonetheless, Cowan proposed that working memory has a capacity of about four chunks in young adults (and fewer in children and old adults).&amp;lt;ref&amp;gt;{{Cite journal|first1=Nelson |last1=Cowan |year=2001 |title=The magical number 4 in short-term memory: A reconsideration of mental storage capacity |journal=Behavioral and Brain Sciences |volume=24 |issue=1 |pages=87–185 |doi=10.1017/S0140525X01003922 |pmid=11515286|doi-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Working memory is widely acknowledged as having limited capacity. An early quantification of the capacity limit associated with short-term memory was the &amp;quot;magical number seven&amp;quot; suggested by Miller in 1956. He claimed that the information-processing capacity of young adults is around seven elements, which he called &amp;quot;chunks&amp;quot;, regardless of whether the elements are digits, letters, words, or other units. Later research revealed this number depends on the category of chunks used (e.g., span may be around seven for digits, six for letters, and five for words), and even on features of the chunks within a category. For instance, span is lower for long than short words. In general, memory span for verbal contents (digits, letters, words, etc.) depends on the phonological complexity of the content (i.e., the number of phonemes, the number of syllables), and on the lexical status of the contents (whether the contents are words known to the person or not). Several other factors affect a person's measured span, and therefore it is difficult to pin down the capacity of short-term or working memory to a number of chunks. Nonetheless, Cowan proposed that working memory has a capacity of about four chunks in young adults (and fewer in children and old adults).&lt;br /&gt;
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通说认为工作记忆容量有限，一个对短期记忆的早期量化是1956年米勒 Miller提出的“'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;神奇数字7 The Magical Number Seven&amp;lt;/font&amp;gt;'''”。他主张年轻人的信息处理能力大约是7个元素，称之为组块（chunk），组块内容可以是数字、字母、单词或其他单元。后续的研究发现，这个数字的大小取决于所用组块的类别（例如规模可能在约7个数字、6个字母、5个单词）甚至取决于该类别中组块的特征。例如，长词的组块数会低于短词的组块数。一般而言口头内容（数字、字母、单词）记忆规模取决于内容的音系复杂度（即音素、音节的量）以及所用词汇状态（内容所用单词是否为主体所知）。还有其他若干因素会影响可测量的记忆规模，因此难以确定短期记忆或工作记忆的组块数。尽管如此，考恩 Cowan主张年轻成人的工作记忆容量大约是4个组块（儿童和老年人则更少）。&lt;br /&gt;
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Whereas most adults can repeat about seven digits in correct order, some individuals have shown impressive enlargements of their digit span—up to 80 digits. This feat is possible by extensive training on an encoding strategy by which the digits in a list are grouped (usually in groups of three to five) and these groups are encoded as a single unit (a chunk). For this to succeed, participants must be able to recognize the groups as some known string of digits. One person studied by Ericsson and his colleagues, for example, used an extensive knowledge of racing times from the history of sports in the process of coding chunks: several such chunks could then be combined into a higher-order chunk, forming a hierarchy of chunks. In this way, only some chunks at the highest level of the hierarchy must be retained in working memory, and for retrieval the chunks are unpacked. That is, the chunks in working memory act as retrieval cues that point to the digits they contain. Practicing memory skills such as these does not expand working memory capacity proper: it is the capacity to transfer (and retrieve) information from long-term memory that is improved, according to Ericsson and Kintsch (1995; see also Gobet &amp;amp; Simon, 2000&amp;lt;ref name=&amp;quot;Gobet F 2000 551–70&amp;quot;&amp;gt;{{Cite journal|date=November 2000|title=Some shortcomings of long-term working memory|journal=British Journal of Psychology|volume=91|issue=Pt 4|pages=551–70|doi=10.1348/000712600161989|pmid=11104178|author=Gobet F|url=http://bura.brunel.ac.uk/handle/2438/807|type=Submitted manuscript}}&amp;lt;/ref&amp;gt;).&lt;br /&gt;
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Whereas most adults can repeat about seven digits in correct order, some individuals have shown impressive enlargements of their digit span—up to 80 digits. This feat is possible by extensive training on an encoding strategy by which the digits in a list are grouped (usually in groups of three to five) and these groups are encoded as a single unit (a chunk). For this to succeed, participants must be able to recognize the groups as some known string of digits. One person studied by Ericsson and his colleagues, for example, used an extensive knowledge of racing times from the history of sports in the process of coding chunks: several such chunks could then be combined into a higher-order chunk, forming a hierarchy of chunks. In this way, only some chunks at the highest level of the hierarchy must be retained in working memory, and for retrieval the chunks are unpacked. That is, the chunks in working memory act as retrieval cues that point to the digits they contain. Practicing memory skills such as these does not expand working memory capacity proper: it is the capacity to transfer (and retrieve) information from long-term memory that is improved, according to Ericsson and Kintsch (1995; see also Gobet &amp;amp; Simon, 2000).&lt;br /&gt;
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大多数成年人能够正确地重复大约7个数字，但有些个体显示出显著扩大的数字记忆规模——高达80个数字。这种技术可以通过对编码策略的广泛训练来实现。按编码策略将列表中的数字分组（通常分3到5组）并将这些组编码为一个独立单元（一个组块）。要实现这一点，参与者必须能够将组块识别为某些已知的数字字符串。例如，埃里克森 Ericsson 和他的同事的研究对象利用了体育历史中比赛时间的广泛知识来编写代码组块: 几个这样的组块可组合成一个更高级的组块，形成组块层次结构。如此，只有层次结构最高级别的一些组块必须保持在工作记忆中，且这些组块是开放于检索的。也就是说，工作记忆中的组块作为提取线索发挥作用，提取它们所指向的数字内容。埃里克森 Ericsson 和 金茨 Kintsch （1995; 参见 Gobet &amp;amp; Simon，2000）认为，练习这种记忆技术并不能真正提高工作记忆容量，所提高的是从长期记忆中传递（和检索）信息的容量。&lt;br /&gt;
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=== 测量和关联 Measures and correlates ===&lt;br /&gt;
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Working memory capacity can be tested by a variety of tasks. A commonly used measure is a dual-task paradigm, combining a [[memory span]] measure with a concurrent processing task, sometimes referred to as &amp;quot;complex span&amp;quot;. Daneman and Carpenter invented the first version of this kind of task, the &amp;quot;[[reading span]]&amp;quot;, in 1980.&amp;lt;ref&amp;gt;{{Cite journal|first1=Meredyth |last1=Daneman |first2=Patricia A. |last2=Carpenter |date=August 1980 |title=Individual differences in working memory and reading |journal=Journal of Verbal Learning &amp;amp; Verbal Behavior |volume=19 |issue=4 |pages=450–66 |doi=10.1016/S0022-5371(80)90312-6}}&amp;lt;/ref&amp;gt; Subjects read a number of sentences (usually between two and six) and tried to remember the last word of each sentence. At the end of the list of sentences, they repeated back the words in their correct order. Other tasks that do not have this dual-task nature have also been shown to be good measures of working memory capacity.&amp;lt;ref&amp;gt;{{Cite journal|last2=Süss|first2=H.-M.|last3=Schulze|first3=R.|last4=Wilhelm|first4=O.|last5=Wittmann|first5=W.&amp;amp;nbsp;W.|date=December 2000|title=Working memory capacity—facets of a cognitive ability construct|journal=Personality and Individual Differences|volume=29|issue=6|pages=1017–45|doi=10.1016/S0191-8869(99)00251-2|first1=K.|last1=Oberauer}}&amp;lt;/ref&amp;gt; Whereas Daneman and Carpenter believed that the combination of &amp;quot;storage&amp;quot; (maintenance) and processing is needed to measure working memory capacity, we know now that the capacity of working memory can be measured with short-term memory tasks that have no additional processing component.&amp;lt;ref&amp;gt;{{Cite journal|last1=Unsworth|first1=Nash|last2=Engle|first2=Randall W.|title=On the division of short-term and working memory: An examination of simple and complex span and their relation to higher order abilities.|journal=Psychological Bulletin|volume=133|issue=6|pages=1038–1066|doi=10.1037/0033-2909.133.6.1038|pmid=17967093|year=2007}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last=Colom, R. Abad, F. J. Quiroga, M. A. Shih, P. C. Flores-Mendoza, C.|year=2008|title=Working memory and intelligence are highly related constructs, but why?|journal=Intelligence|volume=36|issue=6|pages=584–606|doi=10.1016/j.intell.2008.01.002}}&amp;lt;/ref&amp;gt; Conversely, working memory capacity can also be measured with certain processing tasks that don't involve maintenance of information.&amp;lt;ref&amp;gt;{{Cite journal|last=Oberauer, K. Süß, H.-M. Wilhelm, O. Wittmann, W. W.|year=2003|title=The multiple faces of working memory - storage, processing, supervision, and coordination|doi=10.1016/s0160-2896(02)00115-0|journal=Intelligence|volume=31|issue=2|pages=167–193|url=https://www.zora.uzh.ch/id/eprint/97155/1/intelligence.pdf}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last=Chuderski|first=Adam|date=2013-09-25|title=The relational integration task explains fluid reasoning above and beyond other working memory tasks|journal=Memory &amp;amp; Cognition|language=en|volume=42|issue=3|pages=448–463|doi=10.3758/s13421-013-0366-x|issn=0090-502X|pmc=3969517|pmid=24222318}}&amp;lt;/ref&amp;gt; The question of what features a task must have to qualify as a good measure of working memory capacity is a topic of ongoing research.&lt;br /&gt;
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Working memory capacity can be tested by a variety of tasks. A commonly used measure is a dual-task paradigm, combining a memory span measure with a concurrent processing task, sometimes referred to as &amp;quot;complex span&amp;quot;. Daneman and Carpenter invented the first version of this kind of task, the &amp;quot;reading span&amp;quot;, in 1980. Subjects read a number of sentences (usually between two and six) and tried to remember the last word of each sentence. At the end of the list of sentences, they repeated back the words in their correct order. Other tasks that do not have this dual-task nature have also been shown to be good measures of working memory capacity. Whereas Daneman and Carpenter believed that the combination of &amp;quot;storage&amp;quot; (maintenance) and processing is needed to measure working memory capacity, we know now that the capacity of working memory can be measured with short-term memory tasks that have no additional processing component. Conversely, working memory capacity can also be measured with certain processing tasks that don't involve maintenance of information. The question of what features a task must have to qualify as a good measure of working memory capacity is a topic of ongoing research.&lt;br /&gt;
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工作记忆容量可以通过一系列任务来测试。一个常用的度量方法是双任务范例，它将'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;记忆广度测度 Memory Span Measure&amp;lt;/font&amp;gt;'''与并发处理任务（有时称为“复杂规模”）结合起来。1980年，丹曼 Daneman 和 卡朋特 Carpenter 发明了这类任务的第一个版本——“阅读广度”。受试者阅读大量的句子（通常2至6个） ，并努力记住每个句子的最后一个单词。句子阅读完后他们按照自己认为正确的顺序复述单词。还有一些其他非双重任务性质的任务也是测量工作记忆容量的好办法。丹曼 Daneman 和 卡朋特 Carpenter 相信“存储”（维护）和加工的结合是测量工作记忆容量所必须的，现在我们知道工作记忆的容量既可以用没有额外处理组件的短时记忆任务来测量，也可以用不涉及信息维护的某些处理任务来衡量。至于用于测量工作记忆容量的好的任务方案应当具备哪些特征，是一个尚在研究中的课题。&lt;br /&gt;
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Measures of working-memory capacity are strongly related to performance in other complex cognitive tasks, such as reading comprehension, problem solving, and with measures of [[intelligence quotient]].&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Conway AR, Kane MJ, Engle RW |title=Working memory capacity and its relation to general intelligence |journal=Trends in Cognitive Sciences |volume=7 |issue=12 |pages=547–52 |date=December 2003 |pmid=14643371 |doi=10.1016/j.tics.2003.10.005|citeseerx=10.1.1.538.4967 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Measures of working-memory capacity are strongly related to performance in other complex cognitive tasks, such as reading comprehension, problem solving, and with measures of intelligence quotient.&lt;br /&gt;
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工作记忆容量的测度与其他复杂认知任务中的表现有强相关关系，例如阅读理解、问题解决和智商。&lt;br /&gt;
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Some researchers have argued&amp;lt;ref&amp;gt;{{Cite journal|author=Engle, R. W.|author2=Tuholski, S. W.|author3=Laughlin, J. E.|author4=Conway, A. R. |title=Working memory, short-term memory, and general fluid intelligence: a latent-variable approach |journal=Journal of Experimental Psychology: General |volume=128 |issue=3 |pages=309–31 |date=September 1999 |pmid=10513398 |doi=10.1037/0096-3445.128.3.309|url=https://semanticscholar.org/paper/cf15817ee5f9c1536ee4da2c4c018555600ca91b}}&amp;lt;/ref&amp;gt; that working-memory capacity reflects the efficiency of executive functions, most notably the ability to maintain multiple task-relevant representations in the face of distracting irrelevant information; and that such tasks seem to reflect individual differences in the ability to focus and maintain attention, particularly when other events are serving to capture attention. Both working memory and executive functions rely strongly, though not exclusively, on frontal brain areas.&amp;lt;ref name=&amp;quot;Kane MJ, Engle RW 2002 637–71&amp;quot;&amp;gt;{{Cite journal|doi=10.3758/BF03196323|author=Kane, M. J.|author2=Engle, R. W.|title=The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: an individual-differences perspective |journal=Psychonomic Bulletin &amp;amp; Review |volume=9 |issue=4 |pages=637–71 |date=December 2002 |pmid=12613671 |url=http://pbr.psychonomic-journals.org/cgi/pmidlookup?view=long&amp;amp;pmid=12613671|doi-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Some researchers have argued that working-memory capacity reflects the efficiency of executive functions, most notably the ability to maintain multiple task-relevant representations in the face of distracting irrelevant information; and that such tasks seem to reflect individual differences in the ability to focus and maintain attention, particularly when other events are serving to capture attention. Both working memory and executive functions rely strongly, though not exclusively, on frontal brain areas.&lt;br /&gt;
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一些研究人员主张，工作记忆容量反映出执行功能的效率，其中最具代表性的是在面对分散注意力的不相关信息时维持多个任务相关表征的能力; 且这样的任务似乎也反映出在集中注意力和保持注意力方面的个体能力差异（特别是当其他事件能吸引注意力时）。工作记忆和执行功能都非常依赖（但不限于）额叶大脑区域。&lt;br /&gt;
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Other researchers have argued that the capacity of working memory is better characterized as the ability to mentally form relations between elements, or to grasp relations in given information. This idea has been advanced, among others, by Graeme Halford, who illustrated it by our limited ability to understand statistical interactions between variables.&amp;lt;ref&amp;gt;{{Cite journal|author=Halford, G. S.|author2=Baker, R.|author3=McCredden, J. E.|author4=Bain, J. D. |title=How many variables can humans process? |journal=Psychological Science |volume=16 |issue=1 |pages=70–76 |date=January 2005 |pmid=15660854 |doi=10.1111/j.0956-7976.2005.00782.x}}&amp;lt;/ref&amp;gt; These authors asked people to compare written statements about the relations between several variables to graphs illustrating the same or a different relation, as in the following sentence: &amp;quot;If the cake is from France, then it has more sugar if it is made with chocolate than if it is made with cream, but if the cake is from Italy, then it has more sugar if it is made with cream than if it is made of chocolate&amp;quot;. This statement describes a relation between three variables (country, ingredient, and amount of sugar), which is the maximum most individuals can understand. The capacity limit apparent here is obviously not a memory limit (all relevant information can be seen continuously) but a limit to how many relationships are discerned simultaneously.&lt;br /&gt;
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Other researchers have argued that the capacity of working memory is better characterized as the ability to mentally form relations between elements, or to grasp relations in given information. This idea has been advanced, among others, by Graeme Halford, who illustrated it by our limited ability to understand statistical interactions between variables. These authors asked people to compare written statements about the relations between several variables to graphs illustrating the same or a different relation, as in the following sentence: &amp;quot;If the cake is from France, then it has more sugar if it is made with chocolate than if it is made with cream, but if the cake is from Italy, then it has more sugar if it is made with cream than if it is made of chocolate&amp;quot;. This statement describes a relation between three variables (country, ingredient, and amount of sugar), which is the maximum most individuals can understand. The capacity limit apparent here is obviously not a memory limit (all relevant information can be seen continuously) but a limit to how many relationships are discerned simultaneously.&lt;br /&gt;
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另一些研究人员主张，用心理上形成或抓取元素间关系的能力来描述工作记忆容量更佳。Graeme Halford 格雷姆 · 哈尔福德在用我们理解变量之间统计交互作用的有限能力时形成并提出了这个想法。这些发起人要求人们把关于几个变量之间关系的书面陈述与相应的图示（说明相同或不同关系）进行比较，例如: ”如果蛋糕来自法国，那么用巧克力做的比用奶油做的含糖量高，但如果蛋糕来自意大利，那么用奶油做的比用巧克力做的含糖量高”。这个陈述描述了三个变量之间的关系（国家、成分和糖量） ，这是大多数人能够理解的最大值。这里的容量限制显然不是记忆量限制（所有相关信息都可完整看到） ，而是同时识别关系量的限制。&lt;br /&gt;
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=== 工作记忆容量的试验研究 Experimental studies of working-memory capacity ===&lt;br /&gt;
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There are several hypotheses about the nature of the capacity limit. One is that a limited pool of cognitive resources is needed to keep representations active and thereby available for processing, and for carrying out processes.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite journal|author=Just, M. A.|author2=Carpenter, P. A. |title=A capacity theory of comprehension: individual differences in working memory |journal=Psychological Review |volume=99 |issue=1 |pages=122–49 |date=January 1992 |pmid=1546114 |doi=10.1037/0033-295X.99.1.122|url=http://repository.cmu.edu/cgi/viewcontent.cgi?article=1730&amp;amp;context=psychology }}&amp;lt;/ref&amp;gt; Another hypothesis is that memory traces in working memory decay within a few seconds, unless refreshed through rehearsal, and because the speed of rehearsal is limited, we can maintain only a limited amount of information.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.3758/BF03198549|author=Towse, J. N.|author2=Hitch, G. J.|author3=Hutton, U.|title=On the interpretation of working memory span in adults |journal=Memory &amp;amp; Cognition |volume=28 |issue=3 |pages=341–8 |date=April 2000 |pmid=10881551|doi-access=free }}&amp;lt;/ref&amp;gt; Yet another idea is that representations held in working memory interfere with each other.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Waugh NC, Norman DA |title=Primary Memory |journal=Psychological Review |volume=72 |issue= 2|pages=89–104 |date=March 1965 |pmid=14282677 |doi=10.1037/h0021797}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There are several hypotheses about the nature of the capacity limit. One is that a limited pool of cognitive resources is needed to keep representations active and thereby available for processing, and for carrying out processes. Another hypothesis is that memory traces in working memory decay within a few seconds, unless refreshed through rehearsal, and because the speed of rehearsal is limited, we can maintain only a limited amount of information. Yet another idea is that representations held in working memory interfere with each other.&lt;br /&gt;
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关于容量极限的性质有几种假设。一种观点认为其性质是一种前提性有限认知资源池，作为保持记忆表征激活进而处理的前提，另一种观点认为工作记忆若不反复刷新将会在几秒内衰退，而刷新速率是有限的，所以我们只能维持一定的信息量。还有观点认为容量极限是处于工作记忆中表征之间互相干涉的结果。&lt;br /&gt;
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====衰变理论 Decay theories====&lt;br /&gt;
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The assumption that the contents of short-term or working memory [[decay theory|decay]] over time, unless decay is prevented by rehearsal, goes back to the early days of experimental research on short-term memory.&amp;lt;ref&amp;gt;{{Cite journal|last=Brown, J.|year=1958|title=Some tests of the decay theory of immediate memory|journal=Quarterly Journal of Experimental Psychology|volume=10|pages=12–21|doi=10.1080/17470215808416249}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|author1=Peterson, L. R. |author2=Peterson, M. J.|year=1959|title=Short-term retention of individual verbal items|journal=Journal of Experimental Psychology|volume=58|issue=3|pages=193–198|doi=10.1037/h0049234|pmid=14432252|citeseerx=10.1.1.227.1807}}&amp;lt;/ref&amp;gt; It is also an important assumption in the multi-component theory of working memory.&amp;lt;ref&amp;gt;{{Cite book|title=Working memory|author1=Baddeley, A. D.|publisher=Clarendon|year=1986|location=Oxford}}&amp;lt;/ref&amp;gt; The most elaborate decay-based theory of working memory to date is the &amp;quot;time-based resource sharing model&amp;quot;.&amp;lt;ref&amp;gt;{{Cite journal|date=March 2004|title=Time constraints and resource sharing in adults' working memory spans|journal=Journal of Experimental Psychology: General|volume=133|issue=1|pages=83–100|doi=10.1037/0096-3445.133.1.83|pmid=14979753|vauthors=Barrouillet P, Bernardin S, Camos V|citeseerx=10.1.1.379.9208}}&amp;lt;/ref&amp;gt; This theory assumes that representations in working memory decay unless they are refreshed. Refreshing them requires an attentional mechanism that is also needed for any concurrent processing task. When there are small time intervals in which the processing task does not require attention, this time can be used to refresh memory traces. The theory therefore predicts that the amount of forgetting depends on the temporal density of attentional demands of the processing task—this density is called &amp;quot;cognitive load&amp;quot;. The cognitive load depends on two variables, the rate at which the processing task requires individual steps to be carried out, and the duration of each step. For example, if the processing task consists of adding digits, then having to add another digit every half second places a higher cognitive load on the system than having to add another digit every two seconds. In a series of experiments, Barrouillet and colleagues have shown that memory for lists of letters depends neither on the number of processing steps nor the total time of processing but on cognitive load.&amp;lt;ref&amp;gt;{{citation|title=Time and cognitive load in working memory|date=May 2007|journal=J Exp Psychol Learn Mem Cogn|vauthors=Barrouillet P, Bernardin S, Portrat S, Vergauwe E, Camos V|volume=33|issue=3|pages=570–585|doi=10.1037/0278-7393.33.3.570|pmid=17470006|url=https://archive-ouverte.unige.ch/unige:88299}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The assumption that the contents of short-term or working memory decay over time, unless decay is prevented by rehearsal, goes back to the early days of experimental research on short-term memory. It is also an important assumption in the multi-component theory of working memory. The most elaborate decay-based theory of working memory to date is the &amp;quot;time-based resource sharing model&amp;quot;. This theory assumes that representations in working memory decay unless they are refreshed. Refreshing them requires an attentional mechanism that is also needed for any concurrent processing task. When there are small time intervals in which the processing task does not require attention, this time can be used to refresh memory traces. The theory therefore predicts that the amount of forgetting depends on the temporal density of attentional demands of the processing task—this density is called &amp;quot;cognitive load&amp;quot;. The cognitive load depends on two variables, the rate at which the processing task requires individual steps to be carried out, and the duration of each step. For example, if the processing task consists of adding digits, then having to add another digit every half second places a higher cognitive load on the system than having to add another digit every two seconds. In a series of experiments, Barrouillet and colleagues have shown that memory for lists of letters depends neither on the number of processing steps nor the total time of processing but on cognitive load.&lt;br /&gt;
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该理论假设短期记忆或工作记忆的内容会随着时间的推移而'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;衰退 Decay&amp;lt;/font&amp;gt;'''，除非通过刷新来防止衰退，这种理论可追溯到短期记忆早期的实验研究。这也是工作记忆多元理论中的一个重要假设。迄今为止，最详尽的基于衰减假设的工作记忆理论是“基于时间的资源共享模型”。该理论假设工作记忆中不断衰退的表征需要刷新维持，而刷新需要注意力机制，而注意力又对于任何并发进程任务都是必需的。当进程任务存在不需要注意力的微小时间间隔时，该时间可刷新记忆痕迹。因此，该理论预测遗忘量取决于进程任务临时所需注意力的密度，这种密度叫做“认知负荷”。认知负荷取决于两个变量，一是进程任务需要单个步骤执行的速率，二是每个步骤的持续时间。例如，如果处理任务包括添加数字，那么每半秒添加一个数字会比每两秒添加一个数字给系统带来更大的认知负荷。在一系列的实验中，巴鲁耶 Barrouillet 及其同事已证明字母列表的记忆并不取决于处理步骤数量或者处理总时间，而是取决于认知负荷。&lt;br /&gt;
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==== 资源理论 Resource theories====&lt;br /&gt;
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Resource theories assume that the capacity of working memory is a limited resource that must be shared between all representations that need to be maintained in working memory simultaneously.&amp;lt;ref&amp;gt;{{Cite journal|last1=Ma|first1=W. J.|author2=Husain, M.|author3=Bays, P. M.|year=2014|title=Changing concepts of working memory|journal=Nature Reviews Neuroscience|volume=17|issue=3|pages=347–356|doi=10.1038/nn.3655|pmid=24569831|pmc=4159388}}&amp;lt;/ref&amp;gt; Some resource theorists also assume that maintenance and concurrent processing share the same resource;&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt; this can explain why maintenance is typically impaired by a concurrent processing demand. Resource theories have been very successful in explaining data from tests of working memory for simple visual features, such as colors or orientations of bars. An ongoing debate is whether the resource is a continuous quantity that can be subdivided among any number of items in working memory, or whether it consists of a small number of discrete &amp;quot;slots&amp;quot;, each of which can be assigned to one memory item, so that only a limited number of about 3 items can be maintained in working memory at all.&amp;lt;ref&amp;gt;{{Cite journal|last1=van den Berg|first1=Ronald|last2=Awh|first2=Edward|last3=Ma|first3=Wei Ji|title=Factorial comparison of working memory models.|journal=Psychological Review|volume=121|issue=1|pages=124–149|doi=10.1037/a0035234|pmc=4159389|pmid=24490791|year=2014}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Resource theories assume that the capacity of working memory is a limited resource that must be shared between all representations that need to be maintained in working memory simultaneously. Some resource theorists also assume that maintenance and concurrent processing share the same resource;&lt;br /&gt;
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资源理论认为工作记忆容量是一种有限的资源，这种资源被所有需要同时保存在工作记忆中的表征共享。一些资源理论学者假设维护和并行处理也占用同样的资源;&lt;br /&gt;
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==== 干涉理论 Interference theories====&lt;br /&gt;
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Several forms of [[Interference theory|interference]] have been discussed by theorists. One of the oldest ideas is that new items simply replace older ones in working memory. Another form of interference is retrieval competition. For example, when the task is to remember a list of 7 words in their order, we need to start recall with the first word. While trying to retrieve the first word, the second word, which is represented in proximity, is accidentally retrieved as well, and the two compete for being recalled. Errors in serial recall tasks are often confusions of neighboring items on a memory list (so-called transpositions), showing that retrieval competition plays a role in limiting our ability to recall lists in order, and probably also in other working memory tasks. A third form of interference is the distortion of representations by superposition: When multiple representations are added on top of each other, each of them is blurred by the presence of all the others.&amp;lt;ref&amp;gt;{{Cite journal|last1=Oberauer|first1=Klaus|last2=Lewandowsky|first2=Stephan|last3=Farrell|first3=Simon|last4=Jarrold|first4=Christopher|last5=Greaves|first5=Martin|date=2012-06-20|title=Modeling working memory: An interference model of complex span|journal=Psychonomic Bulletin &amp;amp; Review|language=en|volume=19|issue=5|pages=779–819|doi=10.3758/s13423-012-0272-4|pmid=22715024|issn=1069-9384|url=http://doc.rero.ch/record/320568/files/13423_2012_Article_272.pdf}}&amp;lt;/ref&amp;gt; A fourth form of interference assumed by some authors is feature overwriting.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1016/j.jml.2006.08.009 |title=A formal model of capacity limits in working memory |date=November 2006 |first1=Klaus |last1=Oberauer |first2=Reinhold |last2=Kliegl |journal=Journal of Memory and Language |volume=55 |issue=4 |pages=601–26|doi-access=free }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1007/s00221-010-2501-2 |pmid=21132280 |title=Distractor frequency influences performance in vibrotactile working memory |year=2011 |first1=T. |last1=Bancroft |first2=P. |last2=Servos |journal=Experimental Brain Research |volume=208 |issue=4 |pages=529–32}}&amp;lt;/ref&amp;gt; The idea is that each word, digit, or other item in working memory is represented as a bundle of features, and when two items share some features, one of them steals the features from the other. The more items are held in working memory, and the more their features overlap, the more each of them will be degraded by the loss of some features.&lt;br /&gt;
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Several forms of interference have been discussed by theorists. One of the oldest ideas is that new items simply replace older ones in working memory. Another form of interference is retrieval competition. For example, when the task is to remember a list of 7 words in their order, we need to start recall with the first word. While trying to retrieve the first word, the second word, which is represented in proximity, is accidentally retrieved as well, and the two compete for being recalled. Errors in serial recall tasks are often confusions of neighboring items on a memory list (so-called transpositions), showing that retrieval competition plays a role in limiting our ability to recall lists in order, and probably also in other working memory tasks. A third form of interference is the distortion of representations by superposition: When multiple representations are added on top of each other, each of them is blurred by the presence of all the others. A fourth form of interference assumed by some authors is feature overwriting. The idea is that each word, digit, or other item in working memory is represented as a bundle of features, and when two items share some features, one of them steals the features from the other. The more items are held in working memory, and the more their features overlap, the more each of them will be degraded by the loss of some features.&lt;br /&gt;
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理论家们讨论过几种形式的干涉。最初的观点之一是，新事物只是单纯地取代了工作记忆中的旧事物。另一种干涉形式是检索竞争。例如当任务是顺序记住7个单词时，需要从第一个单词开始回忆，而在试图检索第一个单词时，第二个单词也会意外地被检索到，而这两个单词会竞争忆起。连续回忆任务中的错误通常是记忆列表中相邻项目的混淆(即所谓的换位) ，这表明检索竞争限制了我们顺序回忆列表的能力，在其他工作记忆任务中也可能有这种限制。第三种形式的干涉是叠表征的变形: 当多重表征叠加在一起时，每一表征都因所有其他表征而模糊不清。一些发起人认为的第四种干涉形式是特征覆盖。该观点认为工作记忆中的每个单词、数字或其他项目都被表示为一系列特征，当两个项目共享某些特征时，其中一个就会窃取另一个的特征。工作记忆中保存的条目越多则重叠的特征越多，每个条目由于其某些特征丢失而减损越多。&lt;br /&gt;
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==== 极限 Limitations ====&lt;br /&gt;
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None of these hypotheses can explain the experimental data entirely. The resource hypothesis, for example, was meant to explain the trade-off between maintenance and processing: The more information must be maintained in working memory, the slower and more error prone concurrent processes become, and with a higher demand on concurrent processing memory suffers. This trade-off has been investigated by tasks like the reading-span task described above. It has been found that the amount of trade-off depends on the similarity of the information to be remembered and the information to be processed. For example, remembering numbers while processing spatial information, or remembering spatial information while processing numbers, impair each other much less than when material of the same kind must be remembered and processed.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1016/j.jml.2006.07.009 |title=The relationship between processing and storage in working memory span: Not two sides of the same coin |date=February 2007 |first1=Yukio |last1=Maehara |first2=Satoru |last2=Saito |journal=Journal of Memory and Language |volume=56 |issue=2 |pages=212–228}}&amp;lt;/ref&amp;gt; Also, remembering words and processing digits, or remembering digits and processing words, is easier than remembering and processing materials of the same category.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1076/anec.6.2.99.784 |title=Selection from Working Memory: on the Relationship between Processing and Storage Components |date=June 1999 |last1=Li |first1=Karen Z.H. |journal=Aging, Neuropsychology, and Cognition |volume=6 |issue=2 |pages=99–116}}&amp;lt;/ref&amp;gt; These findings are also difficult to explain for the decay hypothesis, because decay of memory representations should depend only on how long the processing task delays rehearsal or recall, not on the content of the processing task. A further problem for the decay hypothesis comes from experiments in which the recall of a list of letters was delayed, either by instructing participants to recall at a slower pace, or by instructing them to say an irrelevant word once or three times in between recall of each letter. Delaying recall had virtually no effect on recall accuracy.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.3758/BF03196705|vauthors=Lewandowsky S, Duncan M, Brown GD |title=Time does not cause forgetting in short-term serial recall |journal=Psychonomic Bulletin &amp;amp; Review |volume=11 |issue=5 |pages=771–90 |date=October 2004 |pmid=15732687 |url=http://pbr.psychonomic-journals.org/cgi/pmidlookup?view=long&amp;amp;pmid=15732687|doi-access=free }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Oberauer K, Lewandowsky S |title=Forgetting in immediate serial recall: decay, temporal distinctiveness, or interference? |journal=Psychological Review |volume=115 |issue=3 |pages=544–76 |date=July 2008 |pmid=18729591 |doi=10.1037/0033-295X.115.3.544|url=https://api.research-repository.uwa.edu.au/files/1546099/11204_PID11204.pdf }}&amp;lt;/ref&amp;gt; The [[interference theory]] seems to fare best with explaining why the similarity between memory contents and the contents of concurrent processing tasks affects how much they impair each other. More similar materials are more likely to be confused, leading to retrieval competition.&lt;br /&gt;
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None of these hypotheses can explain the experimental data entirely. The resource hypothesis, for example, was meant to explain the trade-off between maintenance and processing: The more information must be maintained in working memory, the slower and more error prone concurrent processes become, and with a higher demand on concurrent processing memory suffers. This trade-off has been investigated by tasks like the reading-span task described above. It has been found that the amount of trade-off depends on the similarity of the information to be remembered and the information to be processed. For example, remembering numbers while processing spatial information, or remembering spatial information while processing numbers, impair each other much less than when material of the same kind must be remembered and processed. Also, remembering words and processing digits, or remembering digits and processing words, is easier than remembering and processing materials of the same category. These findings are also difficult to explain for the decay hypothesis, because decay of memory representations should depend only on how long the processing task delays rehearsal or recall, not on the content of the processing task. A further problem for the decay hypothesis comes from experiments in which the recall of a list of letters was delayed, either by instructing participants to recall at a slower pace, or by instructing them to say an irrelevant word once or three times in between recall of each letter. Delaying recall had virtually no effect on recall accuracy. The interference theory seems to fare best with explaining why the similarity between memory contents and the contents of concurrent processing tasks affects how much they impair each other. More similar materials are more likely to be confused, leading to retrieval competition.&lt;br /&gt;
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这些假说都不能完全解释实验数据。例如，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;资源理论 Resource Theories&amp;lt;/font&amp;gt;'''旨在解释维护和加工之间的平衡: 工作记忆中所必须保存的信息越多，则并发过程就变得越慢、越容易出错，且对并发加工记忆的要求也越高。这种平衡已通过前述的阅读广度任务等进行了研究。研究发现，平衡量取决于所要记忆或处理的信息的相似性。例如，在处理空间信息时记忆数字，或者在处理数字时记忆空间信息的相互干渉都比在记忆或处理同类材料时要小得多。此外，记忆单词时处理数字，或记忆数字时处理单词，也比记忆和处理同一类别材料时更容易。对于衰退假来说这些发现也很难解释，因为记忆表征的衰退应该只取决于处理任务延迟刷新的时间，而不取决于处理任务的内容。'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;衰退假说 Decay Theories&amp;lt;/font&amp;gt;'''的另一个问题来自于延迟回忆字母列表的实验，要么要求参与者以较慢的速度回忆，要么要求他们在回忆每个字母的间隔说一个不相关单词一至三次。但延迟回忆对回忆准确率几乎没有影响。'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;干扰理论 Interference Theories&amp;lt;/font&amp;gt;'''似乎最好地解释了记忆内容和同时处理任务内容之间的相似性影响它们彼此之间减损程度的原因在于：材料越相似就越容易混淆，导致检索竞争。&lt;br /&gt;
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== 发展 Development ==&lt;br /&gt;
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The capacity of working memory increases gradually over childhood&amp;lt;ref name=&amp;quot;ReferenceA&amp;quot;&amp;gt;{{cite journal | doi = 10.1037/0012-1649.40.2.177 | last1 = Gathercole | first1 = S. E. | last2 = Pickering | first2 = S. J. | last3 = Ambridge | first3 = B. | last4 = Wearing | first4 = H. | year = 2004 | title = The structure of working memory from 4 to 15 years of age | journal = Developmental Psychology | volume = 40 | issue = 2| pages = 177–190 | pmid = 14979759 | citeseerx = 10.1.1.529.2727 }}&amp;lt;/ref&amp;gt; and declines gradually in old age.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1037/0894-4105.8.4.535 | last1 = Salthouse | first1 = T. A. | year = 1994 | title = The aging of working memory | journal = Neuropsychology | volume = 8 | issue = 4| pages = 535–543 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The capacity of working memory increases gradually over childhood and declines gradually in old age.&lt;br /&gt;
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工作记忆的容量在儿童期逐渐增加，在老年期逐渐下降。&lt;br /&gt;
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=== 儿童期 Childhood ===&lt;br /&gt;
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{{Main|Neo-Piagetian theories of cognitive development}}&lt;br /&gt;
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Measures of performance on tests of working memory increase continuously between early childhood and adolescence, while the structure of correlations between different tests remains largely constant.&amp;lt;ref name=&amp;quot;ReferenceA&amp;quot; /&amp;gt; Starting with work in the Neo-Piagetian tradition,&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1016/0001-6918(70)90108-3 | last1 = Pascual-Leone | first1 = J. | year = 1970 | title = A mathematical model for the transition rule in Piaget's developmental stages | journal = Acta Psychologica | volume = 32 | pages = 301–345 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Case, R. (1985). Intellectual development. Birth to adulthood. New York: Academic Press.&amp;lt;/ref&amp;gt; theorists have argued that the growth of working-memory capacity is a major driving force of cognitive development. This hypothesis has received substantial empirical support from studies showing that the capacity of working memory is a strong predictor of cognitive abilities in childhood.&amp;lt;ref&amp;gt;Jarrold, C., &amp;amp; Bayliss, D. M. (2007). Variation in working memory due to typical and atypical development. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake &amp;amp; J. N. Towse (Eds.), Variation in working memory (pp. 137–161). New York: Oxford University Press.&amp;lt;/ref&amp;gt; Particularly strong evidence for a role of working memory for development comes from a longitudinal study showing that working-memory capacity at one age predicts reasoning ability at a later age.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1111/j.1467-9280.2007.01895.x | last1 = Kail | first1 = R. | year = 2007 | title = Longitudinal evidence that increases in processing speed and working memory enhance children's reasoning | journal = Psychological Science | volume = 18 | issue = 4| pages = 312–313 | pmid = 17470254 }}&amp;lt;/ref&amp;gt; Studies in the Neo-Piagetian tradition have added to this picture by analyzing the complexity of cognitive tasks in terms of the number of items or relations that have to be considered simultaneously for a solution. Across a broad range of tasks, children manage task versions of the same level of complexity at about the same age, consistent with the view that working memory capacity limits the complexity they can handle at a given age.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1016/S0010-0285(02)00002-6 | last1 = Andrews | first1 = G. | last2 = Halford | first2 = G. S. | year = 2002 | title = A cognitive complexity metric applied to cognitive development | journal = Cognitive Psychology | volume = 45 | issue = 2| pages = 153–219 | pmid = 12528901 }}&amp;lt;/ref&amp;gt; Although neuroscience studies support the notion that children rely on prefrontal cortex for performing various working memory tasks, an [[fMRI]] meta-analysis on children compared to adults performing the n back task revealed lack of consistent prefrontal cortex activation in children, while posterior regions including the [[insular cortex]] and [[cerebellum]] remain intact.&amp;lt;ref name= &amp;quot;cf&amp;quot;&amp;gt;Yaple, Z., Arsalidou, M (2018). N-back working memory task: Meta-analysis of normative fMRI studies with children, Child Development, 89(6), 2010-2022.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Measures of performance on tests of working memory increase continuously between early childhood and adolescence, while the structure of correlations between different tests remains largely constant. theorists have argued that the growth of working-memory capacity is a major driving force of cognitive development. This hypothesis has received substantial empirical support from studies showing that the capacity of working memory is a strong predictor of cognitive abilities in childhood. Particularly strong evidence for a role of working memory for development comes from a longitudinal study showing that working-memory capacity at one age predicts reasoning ability at a later age. Studies in the Neo-Piagetian tradition have added to this picture by analyzing the complexity of cognitive tasks in terms of the number of items or relations that have to be considered simultaneously for a solution. Across a broad range of tasks, children manage task versions of the same level of complexity at about the same age, consistent with the view that working memory capacity limits the complexity they can handle at a given age. Although neuroscience studies support the notion that children rely on prefrontal cortex for performing various working memory tasks, an fMRI meta-analysis on children compared to adults performing the n back task revealed lack of consistent prefrontal cortex activation in children, while posterior regions including the insular cortex and cerebellum remain intact.&lt;br /&gt;
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工作记忆的测试成绩在儿童早期和青少年期间不断增加，而不同测试之间的相关性结构基本保持不变。理论学者主张工作记忆容量的增长是认知发展的主要驱动力之一。这一假设得到了大量实证研究的支持，研究表明工作记忆能力是童年认知能力的一个强预测因子。工作记忆对发展所起作用的有力证明来自一项追踪研究，该研究表明某年龄工作记忆能力可预测后续年龄的推理能力。 对新皮亚杰传统的的研究也增加到这一图景，该研究分析了认知任务复杂性（情境下需要同时考虑的项目及关系的数量）。在一系列广泛的任务中，相同年龄段的儿童可处理大约同等难度的任务，这与特定年龄的工作记忆容量限制他们能够处理的复杂度的观点一致。虽然神经科学研究支持儿童依靠脑前额叶皮层来完成各种各种工作记忆任务，但一项功能性磁共振成象元分析对比了儿童和成人在n back任务的表现，发现相较而言儿童缺乏持续的脑前额叶皮层激活，而后部区域包括到叶皮质和小脑都没问题。&lt;br /&gt;
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=== 老化 Aging ===&lt;br /&gt;
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Working memory is among the cognitive functions most sensitive to decline in [[old age]].&amp;lt;ref name=&amp;quot;Hertzog 2003&amp;quot;&amp;gt;{{cite journal |vauthors=Hertzog C, Dixon RA, Hultsch DF, MacDonald SW |title=Latent change models of adult cognition: are changes in processing speed and working memory associated with changes in episodic memory? |journal=Psychol Aging |volume=18 |issue=4 |pages=755–69 |date=December 2003 |pmid=14692862 |doi=10.1037/0882-7974.18.4.755 }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Park, D. C. 2002&amp;quot;&amp;gt;{{cite journal |vauthors=Park DC, Lautenschlager G, Hedden T, Davidson NS, Smith AD, Smith PK |title=Models of visuospatial and verbal memory across the adult life span |journal=Psychol Aging |volume=17 |issue=2 |pages=299–320 |date=June 2002 |pmid=12061414 |doi= 10.1037/0882-7974.17.2.299 }}&amp;lt;/ref&amp;gt; Several explanations have been offered for this decline in psychology. One is the processing speed theory of cognitive aging by Tim Salthouse.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1037/0033-295X.103.3.403 | last1 = Salthouse | first1 = T. A. | year = 1996 | title = The processing speed theory of adult age differences in cognition | journal = Psychological Review | volume = 103 | issue = 3| pages = 403–428 | pmid = 8759042 | citeseerx = 10.1.1.464.585 }}&amp;lt;/ref&amp;gt; Drawing on the finding of general slowing of cognitive processes as people grow older, Salthouse argues that slower processing leaves more time for working-memory contents to decay, thus reducing effective capacity. However, the decline of working-memory capacity cannot be entirely attributed to slowing because capacity declines more in old age than speed.&amp;lt;ref name=&amp;quot;Park, D. C. 2002&amp;quot; /&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1016/0010-0277(95)00689-3 | last1 = Mayr | first1 = U. | last2 = Kliegl | first2 = R. | last3 = Krampe | first3 = R. T. | year = 1996 | title = Sequential and coordinative processing dynamics in figural transformation across the life span | journal = Cognition | volume = 59 | issue = 1| pages = 61–90 | pmid = 8857471 }}&amp;lt;/ref&amp;gt; Another proposal is the inhibition hypothesis advanced by [[Lynn Hasher]] and Rose Zacks.&amp;lt;ref&amp;gt;Hasher, L., &amp;amp; Zacks, R.&amp;amp;nbsp;T. (1988). Working memory, comprehension, and aging: A review and new view. In G. H. Bower (Ed.), ''The psychology of learning and motivation'', ''Vol. 22'', (pp. 193–225). New York: Academic Press.&amp;lt;/ref&amp;gt; This theory assumes a general deficit in old age in the ability to inhibit irrelevant, or no-longer relevant, information. Therefore, working memory tends to be cluttered with irrelevant contents that reduce the effective capacity for relevant content. The assumption of an inhibition deficit in old age has received much empirical support&amp;lt;ref&amp;gt;Hasher, L., Zacks, R.&amp;amp;nbsp;T., &amp;amp; May, C.&amp;amp;nbsp;P. (1999). Inhibitory control, circadian arousal, and age. In D.&amp;amp;nbsp;Gopher &amp;amp; A.&amp;amp;nbsp;Koriat (Eds.), ''Attention and Performance'' (pp. 653–675). Cambridge, MA: MIT Press.&amp;lt;/ref&amp;gt; but, so far, it is not clear whether the decline in inhibitory ability fully explains the decline of working-memory capacity. An explanation on the neural level of the decline of working memory and other cognitive functions in old age has been proposed by West.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1037/0033-2909.120.2.272 | last1 = West | first1 = R.&amp;amp;nbsp;L. | year = 1996 | title = An application of prefrontal cortex function theory to cognitive aging | journal = Psychological Bulletin | volume = 120 | issue = 2| pages = 272–292 | pmid = 8831298 }}&amp;lt;/ref&amp;gt; She argued that working memory depends to a large degree on the [[pre-frontal cortex]], which deteriorates more than other brain regions as we grow old.  Age related decline in working memory can be briefly reversed using low intensity transcranial stimulation, synchronizing rhythms in bilateral frontal and left temporal lobe areas.&amp;lt;ref&amp;gt;{{Cite news|url=https://www.theguardian.com/science/2019/apr/08/scientists-use-electrical-pulses-reverse-memory-decline-ageing|title=Scientists reverse memory decline using electrical pulses|last=Devlin, H.|date=2019-04-08|work=The Guardian|access-date=2019-04-09|language=en-GB|issn=0261-3077}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Working memory is among the cognitive functions most sensitive to decline in old age. Several explanations have been offered for this decline in psychology. One is the processing speed theory of cognitive aging by Tim Salthouse. Drawing on the finding of general slowing of cognitive processes as people grow older, Salthouse argues that slower processing leaves more time for working-memory contents to decay, thus reducing effective capacity. However, the decline of working-memory capacity cannot be entirely attributed to slowing because capacity declines more in old age than speed. Another proposal is the inhibition hypothesis advanced by Lynn Hasher and Rose Zacks. This theory assumes a general deficit in old age in the ability to inhibit irrelevant, or no-longer relevant, information. Therefore, working memory tends to be cluttered with irrelevant contents that reduce the effective capacity for relevant content. The assumption of an inhibition deficit in old age has received much empirical support but, so far, it is not clear whether the decline in inhibitory ability fully explains the decline of working-memory capacity. An explanation on the neural level of the decline of working memory and other cognitive functions in old age has been proposed by West. She argued that working memory depends to a large degree on the pre-frontal cortex, which deteriorates more than other brain regions as we grow old.  Age related decline in working memory can be briefly reversed using low intensity transcranial stimulation, synchronizing rhythms in bilateral frontal and left temporal lobe areas.&lt;br /&gt;
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在老年期一系列认知功能的衰退中，工作记忆最为敏感。心理学上对这种衰退有几种解释。一个是提姆 · 萨尔特豪斯 Tim Salthouse 的认知老化之加工速度理论。普遍而言，人的认知过程随着年龄增长而变慢，萨尔豪斯 Salthouse 基于这一发现，提出变慢的处理过程导致工作记忆内容有更多的时间衰减，从而降低其有效容量的主张。然而，工作记忆容量的下降不能完全归因于慢，因为老年期的容量下降比处理速度下降更快。另一个是 琳恩·哈什尔 Lynn Hasher 和 罗丝·扎克 Rose Zacks 提出的抑制假说。该理论假设老年人在抑制不相关或不再相关的信息方面普遍能力不足。因此，工作记忆往往被不相关内容所干扰，从而降低了相关内容的有效容量。老年抑制能力缺失的假设得到了大量实证研究的支持，但抑制能力的下降是否完全解释了工作记忆能力的下降，目前为止还尚不清楚。韦斯特  West对老年期工作记忆及其他认知功能的衰退提出了一种神经层面的解释，她认为工作记忆在很大程度上取决于前额叶皮层，而随着年龄的增长，前额叶皮层比其他大脑区域更容易衰退。年龄导致的工作记忆衰退可通过低强度经颅刺激的低强度、双侧额叶或左侧颞叶的同步节律得到短暂逆转。&lt;br /&gt;
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== 训练 Training ==&lt;br /&gt;
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{{further|Working memory training|Neurobiological effects of physical exercise#Cognitive control and memory}}&lt;br /&gt;
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Torkel Klingberg was the first to investigate whether intensive training of working memory has beneficial effects on other cognitive functions. His pioneering study suggested that working memory can be improved by training in ADHD patients through computerized programs.&amp;lt;ref&amp;gt;{{Cite journal|author=Klingberg, T.|author2=Forssberg, H.|author3=Westerberg, H. |title=Training of working memory in children with ADHD |journal=Journal of Clinical and Experimental Neuropsychology |volume=24 |issue=6 |pages=781–91 |date=September 2002 |pmid=12424652 |doi=10.1076/jcen.24.6.781.8395|citeseerx=10.1.1.326.5165}}&amp;lt;/ref&amp;gt; This study has found that a period of [[working memory training]] increases a range of cognitive abilities and increases IQ test scores. Another study of the same group&amp;lt;ref&amp;gt;{{Cite journal|date=January 2004|title=Increased prefrontal and parietal activity after training of working memory|journal=Nature Neuroscience|volume=7|issue=1|pages=75–9|doi=10.1038/nn1165|pmid=14699419|vauthors=Olesen PJ, Westerberg H, Klingberg T}}&amp;lt;/ref&amp;gt; has shown that, after training, measured brain activity related to working memory increased in the prefrontal cortex, an area that many researchers have associated with working memory functions. It has been shown in one study that working memory training increases the density of [[prefrontal cortex|prefrontal]] and [[parietal cortex|parietal]] [[dopamine receptor]]s (specifically, [[DRD1]]) in test persons.&amp;lt;ref&amp;gt;{{Cite journal|date=February 2009|title=Changes in cortical dopamine D1 receptor binding associated with cognitive training|journal=Science|volume=323|issue=5915|pages=800–2|bibcode=2009Sci...323..800M|doi=10.1126/science.1166102|pmid=19197069|author=McNab, F.|author2=Varrone, A.|author3=Farde, L.|display-authors=etal}}&amp;lt;/ref&amp;gt; However, subsequent work with the same training program has failed to replicate the beneficial effects of training on cognitive performance. A meta-analytic summary of research with Klingberg's training program up to 2011 shows that this training has at best a negligible effect on tests of intelligence and of attention&amp;lt;ref&amp;gt;{{Cite journal|last=Hulme, C. &amp;amp; Melby-Lervåg, M.|year=2012|title=Current evidence does not support the claims made for CogMed working memory training|journal=Journal of Applied Research in Memory and Cognition|volume=1|issue=3|pages=197–200|doi=10.1016/j.jarmac.2012.06.006}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Torkel Klingberg was the first to investigate whether intensive training of working memory has beneficial effects on other cognitive functions. His pioneering study suggested that working memory can be improved by training in ADHD patients through computerized programs. This study has found that a period of working memory training increases a range of cognitive abilities and increases IQ test scores. Another study of the same group has shown that, after training, measured brain activity related to working memory increased in the prefrontal cortex, an area that many researchers have associated with working memory functions. It has been shown in one study that working memory training increases the density of prefrontal and parietal dopamine receptors (specifically, DRD1) in test persons. However, subsequent work with the same training program has failed to replicate the beneficial effects of training on cognitive performance. A meta-analytic summary of research with Klingberg's training program up to 2011 shows that this training has at best a negligible effect on tests of intelligence and of attention&lt;br /&gt;
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托克尔 · 克林伯格 Torkel Klingberg 是第一个研究工作记忆强化训练是否对其他认知功能有益的人。他开创性的研究表明ADHD患者的工作记忆经电脑程序训练得到改善。该研究发现进行一定的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;工作记忆训练 Working Memory Training&amp;lt;/font&amp;gt;'''可提高一系列的认知能力及 IQ 测试成绩。对同一群体的另一项研究表明，训练之后大脑活动测度与脑前额叶外皮层的增加呈正相关，被许多研究人员认为该区域关乎工作记忆功能。还有一项研究表明，工作记忆训练能增加受试者前额叶和顶叶多巴胺受体(特别是 DRD1)的密度。然而，同样训练方案的后续工作未能再现这些有益影响。一份关于截至2011年的克林伯格 Klingberg 训练方案研究的元分析总结表明，对于智力和注意力测试这种训练充其量只有微不足道的效果。&lt;br /&gt;
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In another influential study, training with a working memory task (the dual [[n-back]] task) has improved performance on a fluid [[intelligence test]] in healthy young adults.&amp;lt;ref&amp;gt;{{Cite journal|author=Jaeggi, S.M.|author2=Buschkuehl, M.|author3= Jonides, J.|author4=Perrig, W. J.|title=Improving fluid intelligence with training on working memory |journal=Proceedings of the National Academy of Sciences of the United States of America |volume=105 |issue=19 |pages=6829–33 |date=May 2008 |pmid=18443283 |pmc=2383929 |doi=10.1073/pnas.0801268105|bibcode=2008PNAS..105.6829J }}&amp;lt;/ref&amp;gt; The improvement of fluid intelligence by training with the n-back task was replicated in 2010,&amp;lt;ref name=&amp;quot;JaeggiStuder-Luethi2010&amp;quot;&amp;gt;{{cite journal| last1=Jaeggi| first1=Susanne M.| last2=Studer-Luethi| first2=Barbara| last3=Buschkuehl|first3=Martin| last4=Su|first4=Yi-Fen|last5=Jonides|first5=John|last6=Perrig|first6=Walter J.|title=The relationship between n-back performance and matrix reasoning – implications for training and transfer|journal=Intelligence|volume=38|issue=6|year=2010|pages=625–635|issn=0160-2896|doi=10.1016/j.intell.2010.09.001}}&amp;lt;/ref&amp;gt; but two studies published in 2012 failed to reproduce the effect.&amp;lt;ref name=&amp;quot;RedickShipstead2013&amp;quot;&amp;gt;{{cite journal|last1=Redick|first1=Thomas S.| last2=Shipstead| first2=Zach|last3=Harrison|first3=Tyler L.|last4=Hicks|first4=Kenny L.|last5=Fried|first5=David E.|last6=Hambrick|first6=David Z.|last7=Kane|first7=Michael J.|last8=Engle|first8=Randall W.|title=No evidence of intelligence improvement after working memory training: A randomized, placebo-controlled study|journal=Journal of Experimental Psychology: General|volume=142| issue=2|year=2013| pages=359–379| pmid=22708717|issn=1939-2222| doi=10.1037/a0029082}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;ChooiThompson2012&amp;quot;&amp;gt;{{cite journal| last1=Chooi| first1=Weng-Tink| last2=Thompson| first2=Lee A.| title=Working memory training does not improve intelligence in healthy young adults| journal=Intelligence| volume=40|issue=6| year=2012| pages=531–542| issn=0160-2896| doi=10.1016/j.intell.2012.07.004}}&amp;lt;/ref&amp;gt; The combined evidence from about 30 experimental studies on the effectiveness of working-memory training has been evaluated by several meta-analyses.&amp;lt;ref&amp;gt;{{Cite journal|last1=Au|first1=Jacky|last2=Sheehan|first2=Ellen|last3=Tsai|first3=Nancy|last4=Duncan|first4=Greg J.|last5=Buschkuehl|first5=Martin|last6=Jaeggi|first6=Susanne M.|date=2014-08-08|title=Improving fluid intelligence with training on working memory: a meta-analysis|journal=Psychonomic Bulletin &amp;amp; Review|language=en|volume=22|issue=2|pages=366–377|doi=10.3758/s13423-014-0699-x|pmid=25102926|issn=1069-9384|url=http://www.escholarship.org/uc/item/1mj701dj|type=Submitted manuscript}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last1=Melby-Lervåg|first1=Monica|last2=Redick|first2=Thomas S.|last3=Hulme|first3=Charles|date=2016-07-29|title=Working Memory Training Does Not Improve Performance on Measures of Intelligence or Other Measures of &amp;quot;Far Transfer&amp;quot;|journal=Perspectives on Psychological Science|language=en|volume=11|issue=4|pages=512–534|doi=10.1177/1745691616635612|pmc=4968033|pmid=27474138}}&amp;lt;/ref&amp;gt; The authors of these meta-analyses disagree in their conclusions as to whether or not working-memory training improves intelligence. Yet, these meta-analyses agree in their estimate of the size of the effect of working-memory training: If there is such an effect, it is likely to be small.&lt;br /&gt;
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In another influential study, training with a working memory task (the dual n-back task) has improved performance on a fluid intelligence test in healthy young adults. The improvement of fluid intelligence by training with the n-back task was replicated in 2010, but two studies published in 2012 failed to reproduce the effect. The combined evidence from about 30 experimental studies on the effectiveness of working-memory training has been evaluated by several meta-analyses. The authors of these meta-analyses disagree in their conclusions as to whether or not working-memory training improves intelligence. Yet, these meta-analyses agree in their estimate of the size of the effect of working-memory training: If there is such an effect, it is likely to be small.&lt;br /&gt;
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在另一项有影响力的研究中，工作记忆任务('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;双 n-back 任务 The Dual n-back Task)&amp;lt;/font&amp;gt;'''训练提高了健康青年在流体智力测试中的表现。2010年再现了通过 n-back 任务训练提高流体智力的实验，但2012年发表的两项研究未能重现这一效果。一些元分析对约30个关于工作记忆训练有效性实验研究的综合证据进行了评估，对工作记忆训练是否能提高智力，分析者呈否定意见。然而，这些元分析对工作记忆训练效果的达成一致的是: 若确有提高效果，那可能也非常小。&lt;br /&gt;
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== 脑内 In the brain ==&lt;br /&gt;
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=== 信息维持的神经机制 Neural mechanisms of maintaining information ===&lt;br /&gt;
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The first insights into the neuronal and neurotransmitter basis of working memory came from animal research. The work of Jacobsen&amp;lt;ref&amp;gt;{{Cite journal|author=Jacobsen CF|title= Studies of cerebral function in primates |journal=Comparative Psychology Monographs |volume=13 |issue=3 |pages=1–68 |year=1938 |oclc=250695441 }}&amp;lt;/ref&amp;gt; and Fulton in the 1930s first showed that lesions to the PFC impaired spatial working memory performance in monkeys. The later work of [[Joaquin Fuster]]&amp;lt;ref&amp;gt;{{Cite journal|author=Fuster JM |title=Unit activity in prefrontal cortex during delayed-response performance: neuronal correlates of transient memory |journal=Journal of Neurophysiology |volume=36 |issue=1 |pages=61–78 |date=January 1973 |pmid=4196203 |doi=10.1152/jn.1973.36.1.61 }}&amp;lt;/ref&amp;gt; recorded the electrical activity of neurons in the PFC of monkeys while they were doing a delayed matching task. In that task, the monkey sees how the experimenter places a bit of food under one of two identical-looking cups. A shutter is then lowered for a variable delay period, screening off the cups from the monkey's view. After the delay, the shutter opens and the monkey is allowed to retrieve the food from under the cups. Successful retrieval in the first attempt – something the animal can achieve after some training on the task – requires holding the location of the food in memory over the delay period. Fuster found neurons in the PFC that fired mostly during the delay period, suggesting that they were involved in representing the food location while it was invisible. Later research has shown similar delay-active neurons also in the posterior [[parietal cortex]], the [[thalamus]], the [[Caudate nucleus|caudate]], and the [[globus pallidus]].&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Ashby FG, Ell SW, Valentin VV, Casale MB |title=FROST: a distributed neurocomputational model of working memory maintenance |journal=Journal of Cognitive Neuroscience |volume=17 |issue=11 |pages=1728–43 |date=November 2005 |pmid=16269109 |doi=10.1162/089892905774589271|citeseerx=10.1.1.456.7179 }}&amp;lt;/ref&amp;gt; The work of [[Patricia Goldman-Rakic|Goldman-Rakic]] and others showed that principal sulcal, dorsolateral PFC interconnects with all of these brain regions, and that neuronal microcircuits within PFC are able to maintain information in working memory through recurrent excitatory glutamate networks of pyramidal cells that continue to fire throughout the delay period.&amp;lt;ref&amp;gt;{{Cite journal|author=Goldman-Rakic PS|title= Cellular basis of working memory |journal=Neuron |volume=14 |issue= 3 |pages=447–485 |year=1995 | pmid = 7695894 | doi = 10.1016/0896-6273(95)90304-6 }}&amp;lt;/ref&amp;gt; These circuits are tuned by lateral inhibition from GABAergic interneurons.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Rao SG, Williams GV, Goldman-Rakic PS |title= Destruction and creation of spatial tuning by disinhibition: GABA(A) blockade of prefrontal cortical neurons engaged by working memory |journal=Journal of Neuroscience |volume=20 |pages=485–494 |year=2000|pmid=10627624 |pmc= 6774140 |issue=1|doi= 10.1523/JNEUROSCI.20-01-00485.2000 }}&amp;lt;/ref&amp;gt; The neuromodulatory arousal systems markedly alter PFC working memory function; for example, either too little or too much dopamine or norepinephrine impairs PFC network firing&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1016/j.tics.2010.05.003|author1=Arnsten AFT |author2=Paspalas CD |author3=Gamo NJ |author4=Y. Y |author5=Wang M |title= Dynamic Network Connectivity: A new form of neuroplasticity|journal=Trends in Cognitive Sciences|volume=14 |pages=365–375 |year=2010|issue=8|pmid=20554470|pmc=2914830}}&amp;lt;/ref&amp;gt; and working memory performance.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1146/annurev.neuro.051508.135535|vauthors=Robbins TW, Arnsten AF |title= The neuropsychopharmacology of fronto-executive function: monoaminergic modulation |journal=Annu Rev Neurosci|volume=32 |pages=267–287 |year=2009|pmid=19555290|pmc=2863127}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The first insights into the neuronal and neurotransmitter basis of working memory came from animal research. The work of Jacobsen and Fulton in the 1930s first showed that lesions to the PFC impaired spatial working memory performance in monkeys. The later work of Joaquin Fuster recorded the electrical activity of neurons in the PFC of monkeys while they were doing a delayed matching task. In that task, the monkey sees how the experimenter places a bit of food under one of two identical-looking cups. A shutter is then lowered for a variable delay period, screening off the cups from the monkey's view. After the delay, the shutter opens and the monkey is allowed to retrieve the food from under the cups. Successful retrieval in the first attempt – something the animal can achieve after some training on the task – requires holding the location of the food in memory over the delay period. Fuster found neurons in the PFC that fired mostly during the delay period, suggesting that they were involved in representing the food location while it was invisible. Later research has shown similar delay-active neurons also in the posterior parietal cortex, the thalamus, the caudate, and the globus pallidus. The work of Goldman-Rakic and others showed that principal sulcal, dorsolateral PFC interconnects with all of these brain regions, and that neuronal microcircuits within PFC are able to maintain information in working memory through recurrent excitatory glutamate networks of pyramidal cells that continue to fire throughout the delay period. These circuits are tuned by lateral inhibition from GABAergic interneurons. The neuromodulatory arousal systems markedly alter PFC working memory function; for example, either too little or too much dopamine or norepinephrine impairs PFC network firing and working memory performance.&lt;br /&gt;
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关于工作记忆的神经元和神经递质基础的初次见解来自动物研究。雅各布森 Jacobsen 和富尔顿 Fulton在20世纪30年代的研究首次表明猴子的空间工作记忆能力因PFC的损害而减损。华金 · 福斯特 Joaquin Fuster 的后续工作记录了猴子在完成延迟匹配任务时 PFC 中神经元的电活动。在该任务中，猴子看到实验人员在两个同样杯子中的一个下面放了一点食物。然后一个挡板降下挡住猴子对杯子的视线一段时间（延迟变量）。之后挡板打开，允许猴子从杯子下面取出食物。在第一次尝试中它成功地提取食物——系动物经过一些训练后能够完成的任务——要求动物在延迟期维持食物位置的记忆。福斯特发现延迟期间PFC中的大部分神经元激活了，表明这些神经元参与了在看不到食物期间对其位置的记忆维持。后来的研究发现后顶叶皮层、丘脑、尾状核和苍白球也有类似的延迟活动神经元。高德马・拉齐克 Goldman-Rakic 等人的研究表明，脊髓背外侧的PFC与所有这些大脑区域相互连接，PFC内的神经元微回路能够通过反复兴奋的锥体细胞谷氨酸网络来维持工作记忆中的信息，这些神经元网络在整个延迟期间是持续激活的。这些回路是由GABA能中间神经元的侧抑制调节的。神经调节性唤起系统显著改变了PFC工作记忆功能; 例如，过多或过少的多巴胺或去甲肾上腺素会减损PFC神经网络放电和工作记忆表现。&lt;br /&gt;
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The research described above on persistent firing of certain neurons in the delay period of working memory tasks shows that the brain has a mechanism of keeping representations active without external input. Keeping representations active, however, is not enough if the task demands maintaining more than one chunk of information. In addition, the components and features of each chunk must be bound together to prevent them from being mixed up. For example, if a red triangle and a green square must be remembered at the same time, one must make sure that &amp;quot;red&amp;quot; is bound to &amp;quot;triangle&amp;quot; and &amp;quot;green&amp;quot; is bound to &amp;quot;square&amp;quot;. One way of establishing such bindings is by having the neurons that represent features of the same chunk fire in synchrony, and those that represent features belonging to different chunks fire out of sync.&amp;lt;ref&amp;gt;{{Cite journal|date=August 2001|title=A cortical mechanism for binding in visual working memory|journal=Journal of Cognitive Neuroscience|volume=13|issue=6|pages=766–85|doi=10.1162/08989290152541430|pmid=11564321|vauthors=Raffone A, Wolters G}}&amp;lt;/ref&amp;gt; In the example, neurons representing redness would fire in synchrony with neurons representing the triangular shape, but out of sync with those representing the square shape. So far, there is no direct evidence that working memory uses this binding mechanism, and other mechanisms have been proposed as well.&amp;lt;ref&amp;gt;{{Cite book|title=The unity of consciousness: Binding, integration, and dissociation|last2=Busby|first2=Richard S.|last3=Soto|first3=Rodolfo|publisher=Oxford University Press|year=2003|isbn=978-0-19-850857-1|location=Oxford|pages=168–90|chapter=Three forms of binding and their neural substrates: Alternatives to temporal synchrony|oclc=50747505|first1=Randall C.|last1=O'Reilly|editor1-first=Axel|editor1-last=Cleeremans|chapterurl=http://psycnet.apa.org/psycinfo/2003-88180-008}}&amp;lt;/ref&amp;gt; It has been speculated that synchronous firing of neurons involved in working memory oscillate with frequencies in the [[theta rhythm|theta]] band (4 to 8&amp;amp;nbsp;Hz). Indeed, the power of theta frequency in the EEG increases with working memory load,&amp;lt;ref&amp;gt;{{Cite book|title=Handbook of binding and memory|publisher=Oxford University Press|year=2006|location=Oxford|pages=115–144|chapter=Binding principles in the theta frequency range|last1=Klimesch|first1=W.|editor1-first=H. D.|editor1-last=Zimmer|editor2-first=A.|editor2-last=Mecklinger|editor3-first=U.|editor3-last=Lindenberger}}&amp;lt;/ref&amp;gt; and oscillations in the theta band measured over different parts of the skull become more coordinated when the person tries to remember the binding between two components of information.&amp;lt;ref&amp;gt;{{Cite journal|date=May 2007|title=Binding of verbal and spatial information in human working memory involves large-scale neural synchronization at theta frequency|journal=NeuroImage|volume=35|issue=4|pages=1654–62|doi=10.1016/j.neuroimage.2007.02.011|pmid=17379539|vauthors=Wu X, Chen X, Li Z, Han S, Zhang D}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The research described above on persistent firing of certain neurons in the delay period of working memory tasks shows that the brain has a mechanism of keeping representations active without external input. Keeping representations active, however, is not enough if the task demands maintaining more than one chunk of information. In addition, the components and features of each chunk must be bound together to prevent them from being mixed up. For example, if a red triangle and a green square must be remembered at the same time, one must make sure that &amp;quot;red&amp;quot; is bound to &amp;quot;triangle&amp;quot; and &amp;quot;green&amp;quot; is bound to &amp;quot;square&amp;quot;. One way of establishing such bindings is by having the neurons that represent features of the same chunk fire in synchrony, and those that represent features belonging to different chunks fire out of sync. In the example, neurons representing redness would fire in synchrony with neurons representing the triangular shape, but out of sync with those representing the square shape. So far, there is no direct evidence that working memory uses this binding mechanism, and other mechanisms have been proposed as well. It has been speculated that synchronous firing of neurons involved in working memory oscillate with frequencies in the theta band (4 to 8&amp;amp;nbsp;Hz). Indeed, the power of theta frequency in the EEG increases with working memory load, and oscillations in the theta band measured over different parts of the skull become more coordinated when the person tries to remember the binding between two components of information.&lt;br /&gt;
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上述关于工作记忆任务延迟期间某些神经元持续放电的研究表明，大脑有一种机制能在没有外部输入的情况下保持表征活跃。但不足以应对需要维护多个信息块的任务。此外每个组块的组件和特性必须绑定在一起，以防止和其它混淆。例如，如果必须同时记住一个红色三角形和一个绿色正方形，就必须确保“红色”与“三角形”绑定，而“绿色”与“正方形”绑定。建立这种结合的一种方法是让表现同一组块特征的神经元以同步激活，而那些表现不同组块特征的神经元则不同步激活。在这个例子中，代表红色的神经元会与代表三角形的神经元同步激活，但与代表正方形的神经元不同步。目前还没有直接的证据表明工作记忆使用这种结合机制，学界也提出了一些其他机制。工作记忆相关神经元的同步激活据推测是在θ波段(4ー8赫兹)振荡。脑电图θ频率的能量确实随工作记忆负荷的增加而增加，当被试试图记住信息的两个组成部分之间的联系时，在头骨不同部位测量到 θ 波段的振荡变得更加协调。&lt;br /&gt;
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=== 脑内定位 Localization in the brain ===&lt;br /&gt;
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Localization of brain functions in humans has become much easier with the advent of [[brain imaging]] methods ([[Positron emission tomography|PET]] and [[fMRI]]). This research has confirmed that areas in the PFC are involved in working memory functions. During the 1990s much debate has centered on the different functions of the ventrolateral (i.e.,&amp;amp;nbsp;lower areas) and the [[Dorsolateral prefrontal cortex|dorsolateral (higher) areas of the PFC]]. A human lesion study provides additional evidence for the role of the [[dorsolateral prefrontal cortex]] in working memory.&amp;lt;ref&amp;gt;{{cite journal|last2=Koenigs|first2=Michael|last3=Grafman|first3=Jordan|year=2013|title=Dorsolateral prefrontal contributions to human working memory|journal=Cortex|volume=49|issue=5|pages=1195–1205|doi=10.1016/j.cortex.2012.05.022|pmid=22789779|last1=Barbey|first1=Aron K.|pmc=3495093}}&amp;lt;/ref&amp;gt; One view was that the dorsolateral areas are responsible for spatial working memory and the ventrolateral areas for non-spatial working memory. Another view proposed a functional distinction, arguing that ventrolateral areas are mostly involved in pure maintenance of information, whereas dorsolateral areas are more involved in tasks requiring some processing of the memorized material. The debate is not entirely resolved but most of the evidence supports the functional distinction.&amp;lt;ref&amp;gt;{{Cite journal|author=Owen, A. M.|title=The functional organization of working memory processes within human lateral frontal cortex: the contribution of functional neuroimaging |journal=The European Journal of Neuroscience |volume=9 |issue=7 |pages=1329–39 |date=July 1997 |pmid=9240390 |doi=10.1111/j.1460-9568.1997.tb01487.x}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Localization of brain functions in humans has become much easier with the advent of brain imaging methods (PET and fMRI). This research has confirmed that areas in the PFC are involved in working memory functions. During the 1990s much debate has centered on the different functions of the ventrolateral (i.e.,&amp;amp;nbsp;lower areas) and the dorsolateral (higher) areas of the PFC. A human lesion study provides additional evidence for the role of the dorsolateral prefrontal cortex in working memory. One view was that the dorsolateral areas are responsible for spatial working memory and the ventrolateral areas for non-spatial working memory. Another view proposed a functional distinction, arguing that ventrolateral areas are mostly involved in pure maintenance of information, whereas dorsolateral areas are more involved in tasks requiring some processing of the memorized material. The debate is not entirely resolved but most of the evidence supports the functional distinction.&lt;br /&gt;
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脑成像方法（PET和fMRI）的出现让人脑功能定位更加容易。一项研究已经证实PFC一些区域参与工作记忆功能。在20世纪90年代，很多讨论集中在腹外侧区（即较低区域）和背外侧区（较高区域）的不同功能上。一项人体损伤研究为背外侧脑前额叶外皮在工作记忆中的作用提供了额外的证据。一种观点认为，背外侧区负责空间工作记忆，腹外侧区负责非空间工作记忆。另一种观点提出了功能区分，认为腹外侧区域主要涉及纯粹的信息维护，而背外侧区域则更多涉及需要对记忆材料进行某些处理的任务。分歧并没有完全解决，但大多数证据支持功能区分说。&lt;br /&gt;
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Brain imaging has revealed that working memory functions are not limited to the PFC. A review of numerous studies&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Smith EE, Jonides J |title=Storage and executive processes in the frontal lobes |journal=Science |volume=283 |issue=5408 |pages=1657–61 |date=March 1999 |pmid=10073923 |doi=10.1126/science.283.5408.1657|citeseerx=10.1.1.207.8961 }}&amp;lt;/ref&amp;gt; shows areas of activation during working memory tasks scattered over a large part of the cortex. There is a tendency for spatial tasks to recruit more right-hemisphere areas, and for verbal and object working memory to recruit more left-hemisphere areas. The activation during verbal working memory tasks can be broken down into one component reflecting maintenance, in the left posterior parietal cortex, and a component reflecting subvocal rehearsal, in the left frontal cortex (Broca's area, known to be involved in speech production).&amp;lt;ref&amp;gt;{{Cite journal|author=Smith, E. E.|author2=Jonides, J.|author3=Marshuetz, C.|author4=Koeppe, R. A.|title=Components of verbal working memory: evidence from neuroimaging |journal=Proceedings of the National Academy of Sciences of the United States of America |volume=95 |issue=3 |pages=876–82 |date=February 1998 |pmid=9448254 |pmc=33811 |doi=10.1073/pnas.95.3.876|bibcode=1998PNAS...95..876S }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Brain imaging has revealed that working memory functions are not limited to the PFC. A review of numerous studies shows areas of activation during working memory tasks scattered over a large part of the cortex. There is a tendency for spatial tasks to recruit more right-hemisphere areas, and for verbal and object working memory to recruit more left-hemisphere areas. The activation during verbal working memory tasks can be broken down into one component reflecting maintenance, in the left posterior parietal cortex, and a component reflecting subvocal rehearsal, in the left frontal cortex (Broca's area, known to be involved in speech production).&lt;br /&gt;
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脑成像显示工作记忆功能并不局限于PFC。大量研究的综述表明，工作记忆任务中的激活区域分布在大脑皮层的很大片。空间任务倾向于使用更多的右半球区域，言语和物体工作记忆倾向于使用更多的左半球区域。非文字工作记忆任务中的激活可以分解为在左后顶叶皮层的反映维持的组件，以及在左额叶皮层的反映次声练习的组件（已知与语言产生有关的Broca区域）。&lt;br /&gt;
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There is an emerging consensus that most working memory tasks recruit a network of PFC and parietal areas. A study has shown that during a working memory task the connectivity between these areas increases.&amp;lt;ref&amp;gt;{{Cite journal|author=Honey, G. D.|author2=Fu, C. H.|author3=Kim, J.|title=Effects of verbal working memory load on corticocortical connectivity modeled by path analysis of functional magnetic resonance imaging data |journal=NeuroImage |volume=17 |issue=2 |pages=573–82 |date=October 2002 |pmid=12377135 |doi=10.1016/S1053-8119(02)91193-6|display-authors=etal}}&amp;lt;/ref&amp;gt; Another study has demonstrated that these areas are necessary for working memory, and not simply activated accidentally during working memory tasks, by temporarily blocking them through [[transcranial magnetic stimulation]] (TMS), thereby producing an impairment in task performance.&amp;lt;ref&amp;gt;{{Cite journal|author=Mottaghy, F. M.|title=Interfering with working memory in humans |journal=Neuroscience |volume=139 |issue=1 |pages=85–90 |date=April 2006 |pmid=16337091 |doi=10.1016/j.neuroscience.2005.05.037}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is an emerging consensus that most working memory tasks recruit a network of PFC and parietal areas. A study has shown that during a working memory task the connectivity between these areas increases. Another study has demonstrated that these areas are necessary for working memory, and not simply activated accidentally during working memory tasks, by temporarily blocking them through transcranial magnetic stimulation (TMS), thereby producing an impairment in task performance.&lt;br /&gt;
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这一观点正在形成共识：大多数工作记忆任务使用PFC顶叶区域组成的网络。一项研究表明工作记忆任务中这些区域之间的连通性增加了。另一项研究表明这些区域是工作记忆的必要组成部分，而非单纯在工作任务中因经颅磁刺激（TMS）被意外激活而导致人物表现受损。&lt;br /&gt;
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A current debate concerns the function of these brain areas. The PFC has been found to be active in a variety of tasks that require executive functions.&amp;lt;ref name=&amp;quot;Kane MJ, Engle RW 2002 637–71&amp;quot; /&amp;gt; This has led some researchers to argue that the role of PFC in working memory is in controlling attention, selecting strategies, and manipulating information in working memory, but not in maintenance of information. The maintenance function is attributed to more posterior areas of the brain, including the parietal cortex.&amp;lt;ref&amp;gt;{{Cite journal|author=Curtis, C. E.|author2=D'Esposito, M.|title=Persistent activity in the prefrontal cortex during working memory |journal=Trends in Cognitive Sciences |volume=7 |issue=9 |pages=415–423 |date=September 2003 |pmid=12963473 |doi=10.1016/S1364-6613(03)00197-9|citeseerx=10.1.1.319.8928}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Postle&amp;quot;&amp;gt;{{Cite journal|author=Postle BR |title=Working memory as an emergent property of the mind and brain |journal=Neuroscience |volume=139 |issue=1 |pages=23–38 |date=April 2006 |pmid=16324795 |pmc=1428794 |doi=10.1016/j.neuroscience.2005.06.005}}&amp;lt;/ref&amp;gt; Other authors interpret the activity in parietal cortex as reflecting [[executive functions]], because the same area is also activated in other tasks requiring attention but not memory.&amp;lt;ref&amp;gt;{{Cite journal|author=Collette, F.|author2= Hogge, M.|author3= Salmon, E.|author4=Van der Linden, M.|title=Exploration of the neural substrates of executive functioning by functional neuroimaging |journal=Neuroscience |volume=139 |issue=1 |pages=209–21 |date=April 2006 |pmid=16324796 |doi=10.1016/j.neuroscience.2005.05.035|hdl= 2268/5937|hdl-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A current debate concerns the function of these brain areas. The PFC has been found to be active in a variety of tasks that require executive functions. Other authors interpret the activity in parietal cortex as reflecting executive functions, because the same area is also activated in other tasks requiring attention but not memory.&lt;br /&gt;
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目前的辩论是关于不同大脑区域的功能。研究发现在许多需要执行功能的任务PFC都呈活性。其他研究者把顶叶皮层的活动理解为对执行功能的反映，因为在其他需要注意力而不是记忆的任务中该区域也呈活性。&lt;br /&gt;
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A 2003 meta-analysis of 60 neuroimaging studies found left [[Frontal lobe|frontal]] cortex was involved in low-task demand verbal working memory and right [[Frontal lobe|frontal]] cortex for spatial working memory. Brodmann's areas (BAs) [[Brodmann area 6|6]], [[Brodmann area 8|8]], and [[Brodmann area 9|9]], in the [[Superior frontal gyrus|superior frontal cortex]] was involved when working memory must be continuously updated and when memory for temporal order had to be maintained. Right Brodmann [[Brodmann area 10|10]] and [[Brodmann area 47|47]] in the ventral frontal cortex were involved more frequently with demand for manipulation such as dual-task requirements or mental operations, and Brodmann 7 in the [[posterior parietal cortex]] was also involved in all types of executive function.&amp;lt;ref&amp;gt;{{Cite journal|title = Neuroimaging studies of working memory: a meta-analysis|journal = Cognitive, Affective &amp;amp; Behavioral Neuroscience|date = 2003-12-01|issn = 1530-7026|pmid = 15040547|pages = 255–274|volume = 3|issue = 4|first1 = Tor D.|last1 = Wager|first2 = Edward E.|last2 = Smith|doi=10.3758/cabn.3.4.255|doi-access = free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A 2003 meta-analysis of 60 neuroimaging studies found left frontal cortex was involved in low-task demand verbal working memory and right frontal cortex for spatial working memory. Brodmann's areas (BAs) 6, 8, and 9, in the superior frontal cortex was involved when working memory must be continuously updated and when memory for temporal order had to be maintained. Right Brodmann 10 and 47 in the ventral frontal cortex were involved more frequently with demand for manipulation such as dual-task requirements or mental operations, and Brodmann 7 in the posterior parietal cortex was also involved in all types of executive function.&lt;br /&gt;
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2003年对60项神经成像研究的综合分析发现左额叶皮层参与低任务需求的语言工作记忆，而右额叶皮层参与空间工作记忆。Brodmann 大脑上额叶皮层区域(BAs)6、8、9号区域参与需要不断更新的工作以及和需要维持时间顺序的工作记忆。腹侧额叶皮层的右布罗德曼 Brodmann 10和47号区域较高频参与需要双重任务或心理操作的工作记忆，其中后顶叶皮层的布罗德曼Brodmann 7号区域还参与到所有类型的执行功能。&lt;br /&gt;
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Working memory has been suggested to involve two processes with different neuroanatomical locations in the frontal and parietal lobes.&amp;lt;ref name=&amp;quot;Bledowski&amp;quot;&amp;gt;{{Cite journal|author=Bledowski, C.|author2=Rahm, B.|author3=Rowe, J. B. |title=What 'works' in working memory? Separate systems for selection and updating of critical information |journal=The Journal of Neuroscience |volume=29 |issue=43 |pages=13735–41 |date=October 2009 |pmid=19864586 |doi=10.1523/JNEUROSCI.2547-09.2009 |pmc=2785708}}&amp;lt;/ref&amp;gt; First, a selection operation that retrieves the most relevant item, and second an updating operation that changes the focus of attention made upon it. Updating the attentional focus has been found to involve the transient activation in the caudal [[superior frontal sulcus]] and [[posterior parietal cortex]], while increasing demands on selection selectively changes activation in the rostral superior frontal sulcus and posterior cingulate/[[precuneus]].&amp;lt;ref name=&amp;quot;Bledowski&amp;quot; /&amp;gt;&lt;br /&gt;
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Working memory has been suggested to involve two processes with different neuroanatomical locations in the frontal and parietal lobes. First, a selection operation that retrieves the most relevant item, and second an updating operation that changes the focus of attention made upon it. Updating the attentional focus has been found to involve the transient activation in the caudal superior frontal sulcus and posterior parietal cortex, while increasing demands on selection selectively changes activation in the rostral superior frontal sulcus and posterior cingulate/precuneus.&lt;br /&gt;
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通说认为工作记忆参与位于额叶和顶叶两个神经解剖学上位置不同的两种过程。首先是检索最相关项的选择操作，其次是更改关注焦点的更新操作。更新操作包括额上沟尾部和后顶叶皮质的短暂激活，选择操作随选择的需求增加而选择性地发生额上沟和后扣带回/楔前叶激活。&lt;br /&gt;
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Articulating the differential function of brain regions involved in working memory is dependent on tasks able to distinguish these functions.&amp;lt;ref name=&amp;quot;Coltheart-2006&amp;quot;&amp;gt;{{Cite journal  | last1 = Coltheart | first1 = M. | title = What has functional neuroimaging told us about the mind (so far)? | journal = Cortex | volume = 42 | issue = 3 | pages = 323–31 |date=Apr 2006 | doi = 10.1016/S0010-9452(08)70358-7 | pmid = 16771037 }}&amp;lt;/ref&amp;gt; Most brain imaging studies of working memory have used recognition tasks such as delayed recognition of one or several stimuli, or the n-back task, in which each new stimulus in a long series must be compared to the one presented n steps back in the series. The advantage of recognition tasks is that they require minimal movement (just pressing one of two keys), making fixation of the head in the scanner easier. Experimental research and research on individual differences in working memory, however, has used largely recall tasks (e.g.,&amp;amp;nbsp;the [[reading span task]], see below). It is not clear to what degree recognition and recall tasks reflect the same processes and the same capacity limitations.&lt;br /&gt;
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Articulating the differential function of brain regions involved in working memory is dependent on tasks able to distinguish these functions. Most brain imaging studies of working memory have used recognition tasks such as delayed recognition of one or several stimuli, or the n-back task, in which each new stimulus in a long series must be compared to the one presented n steps back in the series. The advantage of recognition tasks is that they require minimal movement (just pressing one of two keys), making fixation of the head in the scanner easier. Experimental research and research on individual differences in working memory, however, has used largely recall tasks (e.g.,&amp;amp;nbsp;the reading span task, see below). It is not clear to what degree recognition and recall tasks reflect the same processes and the same capacity limitations.&lt;br /&gt;
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阐明与工作记忆相关大脑区域的不同功能，取决于能够区分这些功能的任务。大多数关于工作记忆的脑成像研究都使用了识别任务，比如延迟识别一个或多个刺激，或 n-back 任务，即一个长系列中的每个新刺激都需与该系列中的一个n步后的刺激进行比较。识别任务的优势在于只需要最低限度的运动（只需二选一按键），使头部扫描的定位更加容易。然而，关于工作记忆个体差异的实验研究大量使用了回忆任务（例如，阅读广度任务，见下文）。至于识别和回忆任务能在多大程度上反映相同过程和相同能力的极限，目前尚不清楚。&lt;br /&gt;
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Brain imaging studies have been conducted with the reading span task or related tasks. Increased activation during these tasks was found in the PFC and, in several studies, also in the [[anterior cingulate cortex]] (ACC). People performing better on the task showed larger increase of activation in these areas, and their activation was correlated more over time, suggesting that their neural activity in these two areas was better coordinated, possibly due to stronger connectivity.&amp;lt;ref&amp;gt;{{Cite journal|author=Kondo, H.|author2=Osaka, N.|author3=Osaka, M.|title=Cooperation of the anterior cingulate cortex and dorsolateral prefrontal cortex for attention shifting |journal=NeuroImage |volume=23 |issue=2 |pages=670–9 |date=October 2004 |pmid=15488417 |doi=10.1016/j.neuroimage.2004.06.014}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Osaka N, Osaka M, Kondo H, Morishita M, Fukuyama H, Shibasaki H |title=The neural basis of executive function in working memory: an fMRI study based on individual differences |journal=NeuroImage |volume=21 |issue=2 |pages=623–31 |date=February 2004 |pmid=14980565 |doi=10.1016/j.neuroimage.2003.09.069}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Brain imaging studies have been conducted with the reading span task or related tasks. Increased activation during these tasks was found in the PFC and, in several studies, also in the anterior cingulate cortex (ACC). People performing better on the task showed larger increase of activation in these areas, and their activation was correlated more over time, suggesting that their neural activity in these two areas was better coordinated, possibly due to stronger connectivity.&lt;br /&gt;
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脑成像研究已用于进行阅读广度任务或相关任务并发现在这些任务中PFC的激活增加，在几项研究中还发现前扣带皮层(ACC)的激活增强。任务表现更好的人的这些区域也发生大幅的激活增加，且随时间推移其相关性更强，表明他们这两个区域的神经活动协调度更高，可能的原因是区域间更强的连接性。&lt;br /&gt;
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=== 神经模型 Neural models ===&lt;br /&gt;
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One approach to modeling the neurophysiology and the functioning of working memory is [[PBWM|prefrontal cortex basal ganglia working memory (PBWM)]]. In this model, the prefrontal cortex works hand-in-hand with the basal ganglia to accomplish the tasks of working memory. Many studies have shown this to be the case.&amp;lt;ref&amp;gt;{{Cite journal|last1=Baier|first1=B.|last2=Karnath|first2=H.-O.|last3=Dieterich|first3=M.|last4=Birklein|first4=F.|last5=Heinze|first5=C.|last6=Muller|first6=N. G.|date=2010-07-21|title=Keeping Memory Clear and Stable--The Contribution of Human Basal Ganglia and Prefrontal Cortex to Working Memory|journal=Journal of Neuroscience|volume=30|issue=29|pages=9788–9792|doi=10.1523/jneurosci.1513-10.2010|pmid=20660261|pmc=6632833|issn=0270-6474|doi-access=free}}&amp;lt;/ref&amp;gt; One used ablation techniques in patients who had suffered from seizures and had damage to the prefrontal cortex and basal ganglia.&amp;lt;ref name=&amp;quot;:2&amp;quot; /&amp;gt; Researchers found that such damage resulted in decreased capacity to carry out the executive function of working memory.&amp;lt;ref name=&amp;quot;:2&amp;quot;&amp;gt;{{Cite journal|last1=Voytek|first1=B.|last2=Knight|first2=R. T.|date=2010-10-04|title=Prefrontal cortex and basal ganglia contributions to visual working memory|journal=Proceedings of the National Academy of Sciences|volume=107|issue=42|pages=18167–18172|doi=10.1073/pnas.1007277107|pmid=20921401|issn=0027-8424|doi-access=free}}&amp;lt;/ref&amp;gt; Additional research conducted on patients with brain alterations due to methamphetamine use found that training working memory increases volume in the basal ganglia.&amp;lt;ref&amp;gt;{{Cite journal|last1=Brooks|first1=S. J.|last2=Burch|first2=K. H.|last3=Maiorana|first3=S. A.|last4=Cocolas|first4=E.|last5=Schioth|first5=H. B.|last6=Nilsson|first6=E. K.|last7=Kamaloodien|first7=K.|last8=Stein|first8=D. J.|date=2016-02-01|title=Psychological intervention with working memory training increases basal ganglia volume: A VBM study of inpatient treatment for methamphetamine use|url=http://www.sciencedirect.com/science/article/pii/S2213158216301541|journal=NeuroImage: Clinical|language=en|volume=12|pages=478–491|doi=10.1016/j.nicl.2016.08.019|pmid=27625988|issn=2213-1582|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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One approach to modeling the neurophysiology and the functioning of working memory is prefrontal cortex basal ganglia working memory (PBWM). In this model, the prefrontal cortex works hand-in-hand with the basal ganglia to accomplish the tasks of working memory. Many studies have shown this to be the case. One used ablation techniques in patients who had suffered from seizures and had damage to the prefrontal cortex and basal ganglia. Additional research conducted on patients with brain alterations due to methamphetamine use found that training working memory increases volume in the basal ganglia.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;前额叶皮质基底节工作记忆记忆模型 Prefrontal Cortex Basal Ganglia Working Memory (PBWM)&amp;lt;/font&amp;gt;'''是神经生理学和工作记忆功能模型的一种。&lt;br /&gt;
在该模型中脑前额叶外皮与基底神经节协力共同完成工作记忆的任务，已有许多研究证明相符，例如使用消融技术治疗脑前额叶外皮和基底神经节受损、癫痫发作患者的案例。&lt;br /&gt;
此外还有对因服用甲基苯丙胺而导致大脑改变的病人进行工作记忆训练而增加了基底神经节的容量的案例。&lt;br /&gt;
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=== 神经生理学的压力效果 Effects of stress on neurophysiology ===&lt;br /&gt;
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Working memory is impaired by acute and chronic psychological stress. This phenomenon was first discovered in animal studies by Arnsten and colleagues,&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1126/science.280.5370.1711|author=Arnsten, A. F.|title=The biology of being frazzled |journal=Science |volume=280 |issue=5370 |pages=1711–2 |date=June 1998 |pmid=9660710}}&amp;lt;/ref&amp;gt; who have shown that stress-induced [[catecholamine]] release in PFC rapidly decreases PFC neuronal firing and impairs working memory performance through feedforward, intracellular signaling pathways.&amp;lt;ref&amp;gt;{{Cite journal|author=Arnsten, AF |title=Stress signalling pathways that impair prefrontal cortex structure and function |journal=Nature Reviews Neuroscience |volume=10 |issue=6 |pages=410–22 |date=June 2009 |pmid=19455173|pmc=2907136 |doi=10.1038/nrn2648}}&amp;lt;/ref&amp;gt; Exposure to chronic stress leads to more profound working memory deficits and additional architectural changes in PFC, including dendritic atrophy and spine loss,&amp;lt;ref&amp;gt;{{Cite journal|author=Radley, J. J.|author2= Rocher, A. B.|author3=Miller, M.|author4= Janssen, W. G.|author5=Liston, C.|author6=Hof, P. R.|author7=McEwen, B. S.|author8=Morrison, J. H.|title=Repeated stress induces dendritic spine loss in the rat medial prefrontal cortex |journal=Cereb Cortex |volume=16 |issue=3 |pages=313–20 |date=Mar 2006 |pmid=15901656 |doi=10.1093/cercor/bhi104|doi-access=free}}&amp;lt;/ref&amp;gt; which can be prevented by inhibition of protein kinase C signaling.&amp;lt;ref&amp;gt;{{Cite journal|author=Hains, A. B.|author2=Vu, M. A.|author3=Maciejewski, P. K.|author4= van Dyck, C. H. |authorlink4=Christopher H. van Dyck |author5=Gottron, M.|author6= Arnsten, A. F. |title=Inhibition of protein kinase C signaling protects prefrontal cortex dendritic spines and cognition from the effects of chronic stress |journal=Proceedings of the National Academy of Sciences|volume=106 |issue=42 |pages=17957–62 |date=Oct 2009 |pmid=19805148|pmc=2742406 |doi=10.1073/pnas.0908563106|bibcode=2009PNAS..10617957H }}&amp;lt;/ref&amp;gt; [[fMRI]] research has extended this research to humans, and confirms that reduced working memory caused by acute stress links to reduced activation of the PFC, and stress increased levels of [[catecholamine]]s.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Qin S, Hermans EJ, van Marle HJ, Luo J, Fernández G |title=Acute psychological stress reduces working memory-related activity in the dorsolateral prefrontal cortex |journal=Biological Psychiatry |volume=66 |issue=1 |pages=25–32 |date=July 2009 |pmid=19403118 |doi=10.1016/j.biopsych.2009.03.006}}&amp;lt;/ref&amp;gt; Imaging studies of medical students undergoing stressful exams have also shown weakened PFC functional connectivity, consistent with the animal studies.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Liston C, McEwen BS, Casey BJ |title=Psychosocial stress reversibly disrupts prefrontal processing and attentional control |journal=Proceedings of the National Academy of Sciences|volume=106 |issue=3 |pages=912–7 |date=Jan 2009 |pmid=19139412|pmc=2621252 |doi=10.1073/pnas.0807041106|bibcode=2009PNAS..106..912L }}&amp;lt;/ref&amp;gt; The marked effects of stress on PFC structure and function may help to explain how stress can cause or exacerbate mental illness.&lt;br /&gt;
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Working memory is impaired by acute and chronic psychological stress. This phenomenon was first discovered in animal studies by Arnsten and colleagues, who have shown that stress-induced catecholamine release in PFC rapidly decreases PFC neuronal firing and impairs working memory performance through feedforward, intracellular signaling pathways. Exposure to chronic stress leads to more profound working memory deficits and additional architectural changes in PFC, including dendritic atrophy and spine loss, which can be prevented by inhibition of protein kinase C signaling. fMRI research has extended this research to humans, and confirms that reduced working memory caused by acute stress links to reduced activation of the PFC, and stress increased levels of catecholamines. Imaging studies of medical students undergoing stressful exams have also shown weakened PFC functional connectivity, consistent with the animal studies. The marked effects of stress on PFC structure and function may help to explain how stress can cause or exacerbate mental illness.&lt;br /&gt;
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急性和慢性心理压力会损害工作记忆。这种现象最早是由 安斯登 Arnsten 和他的同事们在动物实验中发现的，他们发现应激诱导PFC中儿茶酚胺的释放可迅速降低PFC神经元的放电，并通过前馈和细胞内信号通路损害工作记忆。长期暴露在压力下会导致更深层次工作记忆的缺陷和PFC额外的结构变化，包括树突萎缩和脊柱丧失，这些都可以通过抑制蛋白激酶C信号来预防。功能磁共振成像的研究已经将这项研究扩展到人类，并证实了急性压力导致工作记忆减少会降低PFC的激活，压力会导致儿茶酚胺水平提高。医学院学生在经历紧张的考试后的成像研究也表明 PFC功能连接性减弱，与动物实验结果一致。压力对PFC结构和功能的显著影响可能有助于解释压力如何导致或加重精神疾病。&lt;br /&gt;
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The more stress in one's life, the lower the efficiency of working memory in performing simple cognitive tasks. Students who performed exercises that reduced the intrusion of negative thoughts showed an increase in their working memory capacity. Mood states (positive or negative) can have an influence on the neurotransmitter dopamine, which in turn can affect problem solving.&amp;lt;ref&amp;gt;{{cite book|last=Revlin|first=Russell|title=Human Cognition : Theory and Practice.|year=2007|publisher=Worth Pub|location=New York, NY|isbn=978-0-7167-5667-5|page=147|edition=International}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The more stress in one's life, the lower the efficiency of working memory in performing simple cognitive tasks. Students who performed exercises that reduced the intrusion of negative thoughts showed an increase in their working memory capacity. Mood states (positive or negative) can have an influence on the neurotransmitter dopamine, which in turn can affect problem solving.&lt;br /&gt;
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生活中压力越大，工作记忆在完成简单认知任务时的效率就越低。对减少负面思想入侵进行练习的学生其工作记忆容量有所增加。情绪状态(积极或消极)会影响神经递质多巴胺，从而影响问题解决。&lt;br /&gt;
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=== 神经生理学的酒精效果 Effects of alcohol on neurophysiology ===&lt;br /&gt;
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Alcohol abuse can result in brain damage which impairs working memory.&amp;lt;ref name=&amp;quot;pmid21466500&amp;quot;&amp;gt;{{cite journal |vauthors=van Holst RJ, Schilt T |title=Drug-related decrease in neuropsychological functions of abstinent drug users |journal=Curr Drug Abuse Rev |volume=4 |issue=1 |pages=42–56 | date=March 2011 |pmid=21466500 |doi= 10.2174/1874473711104010042}}&amp;lt;/ref&amp;gt; Alcohol has an effect on the [[Blood-oxygen-level dependent|blood-oxygen-level-dependent]] (BOLD) response. The BOLD response correlates increased blood oxygenation with brain activity, which makes this response a useful tool for measuring neuronal activity.&amp;lt;ref&amp;gt;{{cite journal | author = Jacobus J.|author2=Tapert S. F. | year = 2013 | title = Neurotoxic Effects of Alcohol in Adolescence | journal = [[Annual Review of Clinical Psychology]] | volume = 9 | issue = 1| pages = 703–721 | doi = 10.1146/annurev-clinpsy-050212-185610 | pmc = 3873326 | pmid=23245341}}&amp;lt;/ref&amp;gt; The BOLD response affects regions of the brain such as the basal ganglia and thalamus when performing a working memory task. Adolescents who start drinking at a young age show a decreased BOLD response in these brain regions.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Weiland BJ, Nigg JT, Welsh RC, Yau WY, Zubieta JK | displayauthors=etal | year = 2012 | title = Resiliency in adolescents at high risk for substance abuse: flexible adaptation via subthalamic nucleus and linkage to drinking and drug use in early adulthood | journal = Alcohol. Clin. Exp. Res. | volume = 36 | issue = 8| pages = 1355–64 | doi=10.1111/j.1530-0277.2012.01741.x| pmc = 3412943 | pmid=22587751}}&amp;lt;/ref&amp;gt; Alcohol dependent young women in particular exhibit less of a BOLD response in parietal and frontal cortices when performing a spatial working memory task.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Tapert SF, Brown GG, Kindermann SS, Cheung EH, Frank LR, Brown SA | year = 2001 | title = fMRI measurement of brain dysfunction in alcohol-dependent young women | journal = Alcohol. Clin. Exp. Res. | volume = 25 | issue = 2| pages = 236–45 | doi=10.1111/j.1530-0277.2001.tb02204.x | pmid=11236838}}&amp;lt;/ref&amp;gt; Binge drinking, specifically, can also affect one's performance on working memory tasks, particularly visual working memory.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Ferrett HL, Carey PD, Thomas KG, Tapert SF, Fein G | year = 2010 | title = Neuropsychological performance of South African treatment-naive adolescents with alcohol dependence | journal = Drug Alcohol Depend | volume = 110 | issue = 1–2| pages = 8–14 | doi=10.1016/j.drugalcdep.2010.01.019| pmc = 4456395 | pmid=20227839}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | vauthors = Crego A, Holguin SR, Parada M, Mota N, Corral M, Cadaveira F | year = 2009 | title = Binge drinking affects attentional and visual working memory processing in young university students | journal = Alcohol. Clin. Exp. Res. | volume = 33 | issue = 11| pages = 1870–79 | doi=10.1111/j.1530-0277.2009.01025.x| pmid = 19673739 | hdl = 10347/16832 | hdl-access = free }}&amp;lt;/ref&amp;gt; Additionally, there seems to be a gender difference in regards to how alcohol affects working memory. While women perform better on verbal working memory tasks after consuming alcohol compared to men, they appear to perform worse on spatial working memory tasks as indicated by less brain activity.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Greenstein JE, Kassel JD, Wardle MC, Veilleux JC, Evatt DP, Heinz AJ, Yates MC | year = 2010 | title = The separate and combined effects of nicotine and alcohol on working memory capacity in nonabstinent smokers | journal = [[Experimental and Clinical Psychopharmacology]] | volume = 18 | issue = 2| pages = 120–128 | doi = 10.1037/a0018782 | pmid = 20384423 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | vauthors = Squeglia LM, Schweinsburg AD, Pulido C, Tapert SF | year = 2011 | title = Adolescent binge drinking linked to abnormal spatial working memory brain activation: Differential gender effects | journal = Alcoholism: Clinical and Experimental Research | volume = 35 | issue = 10| pages = 1831–1841 | doi = 10.1111/j.1530-0277.2011.01527.x | pmc = 3183294 | pmid=21762178}}&amp;lt;/ref&amp;gt; Finally, age seems to be an additional factor. Older adults are more susceptible than others to the effects of alcohol on working memory.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Boissoneault J, Sklar A, Prather R, Nixon SJ | year = 2014 | title = Acute effects of moderate alcohol on psychomotor, set shifting, and working memory function in older and younger social drinkers | journal = Journal of Studies on Alcohol and Drugs | volume = 75 | issue = 5| pages = 870–879 | doi = 10.15288/jsad.2014.75.870 | pmc = 4161706 | pmid=25208205}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Alcohol abuse can result in brain damage which impairs working memory. Alcohol has an effect on the blood-oxygen-level-dependent (BOLD) response. The BOLD response correlates increased blood oxygenation with brain activity, which makes this response a useful tool for measuring neuronal activity. The BOLD response affects regions of the brain such as the basal ganglia and thalamus when performing a working memory task. Adolescents who start drinking at a young age show a decreased BOLD response in these brain regions. Alcohol dependent young women in particular exhibit less of a BOLD response in parietal and frontal cortices when performing a spatial working memory task. Binge drinking, specifically, can also affect one's performance on working memory tasks, particularly visual working memory. Additionally, there seems to be a gender difference in regards to how alcohol affects working memory. While women perform better on verbal working memory tasks after consuming alcohol compared to men, they appear to perform worse on spatial working memory tasks as indicated by less brain activity. Finally, age seems to be an additional factor. Older adults are more susceptible than others to the effects of alcohol on working memory.&lt;br /&gt;
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酗酒会导致大脑损伤，从而损害工作记忆。酒精影响'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;血氧水平依赖性 Blood-Oxygen-Level-Dependent（BOLD）&amp;lt;/font&amp;gt;'''反应。BOLD反应把血氧含量增加与大脑活动联系起来，故这种反应是测量神经元活动的有用指标。在执行工作记忆任务时，BOLD反应影响大脑的基底神经节和丘脑等区域。从小就喝酒的青少年其大脑区域的BOLD反应降低。特别是酒精依赖的年轻女性在执行空间工作记忆任务时，顶叶和额叶皮层的BOLD反应较少。酗酒可以且特别影响工作记忆任务的表现，特别是视觉工作记忆。此外，在酒精影响工作记忆方面似乎也存在性别差异。与男性相比，女性在饮酒后的非文字工作记忆任务中表现得更好，但在空间工作记忆任务中的表现似乎更差（表现为更少的大脑活动）。最后，年龄似乎是一个额外的因素。老年人比其他人更容易受到酒精对工作记忆的影响。&lt;br /&gt;
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== 基因 Genetics ==&lt;br /&gt;
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=== 行为基因 Behavioral genetics ===&lt;br /&gt;
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Individual differences in working-memory capacity are to some extent [[heritable]]; that is, about half of the variation between individuals is related to differences in their genes.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last1=Engelhardt|first1=Laura E.|last2=Mann|first2=Frank D.|last3=Briley|first3=Daniel A.|last4=Church|first4=Jessica A.|last5=Harden|first5=K. Paige|last6=Tucker-Drob|first6=Elliot M.|title=Strong genetic overlap between executive functions and intelligence.|journal=Journal of Experimental Psychology: General|volume=145|issue=9|pages=1141–1159|doi=10.1037/xge0000195|pmc=5001920|pmid=27359131|year=2016}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Ando 615–624&amp;quot;&amp;gt;{{Cite journal|last1=Ando|first1=Juko|last2=Ono|first2=Yutaka|last3=Wright|first3=Margaret J.|title=Genetic Structure of Spatial and Verbal Working Memory|journal=Behavior Genetics|language=en|volume=31|issue=6|pages=615–624|doi=10.1023/A:1013353613591|pmid=11838538|issn=0001-8244|year=2001}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last1=Blokland|first1=Gabriëlla A. M.|last2=McMahon|first2=Katie L.|last3=Thompson|first3=Paul M.|last4=Martin|first4=Nicholas G.|last5=de Zubicaray|first5=Greig I.|last6=Wright|first6=Margaret J.|date=2011-07-27|title=Heritability of Working Memory Brain Activation|journal=Journal of Neuroscience|volume=31|issue=30|pages=10882–10890|doi=10.1523/jneurosci.5334-10.2011|pmid=21795540|pmc=3163233}}&amp;lt;/ref&amp;gt; The genetic component of variability of working-memory capacity is largely shared with that of fluid intelligence.&amp;lt;ref name=&amp;quot;Ando 615–624&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
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Individual differences in working-memory capacity are to some extent heritable; that is, about half of the variation between individuals is related to differences in their genes. The genetic component of variability of working-memory capacity is largely shared with that of fluid intelligence.&lt;br /&gt;
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工作记忆能力的个体差异在某种程度上是遗传的，即个体间的约一半的差异与其基因差异有关。工作记忆容量变异性的遗传成分与流体智力的遗传成分大致相同。&lt;br /&gt;
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=== 识别个别基因的尝试 Attempts to identify individual genes ===&lt;br /&gt;
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Little is known about which genes are related to the functioning of working memory. Within the theoretical framework of the multi-component model, one candidate gene has been proposed, namely [[ROBO1]] for the hypothetical [[phonological loop]] component of working memory.&amp;lt;ref&amp;gt;{{Cite journal|last=Bates|first=Timothy|date=2011|title=Genetic Variance in a Component of the Language Acquisition Device: ROBO1 Polymorphisms Associated with Phonological Buffer Deficits|journal=Behavior Genetics|volume=41|issue=1|pages=50–7|doi=10.1007/s10519-010-9402-9|pmid=20949370}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Little is known about which genes are related to the functioning of working memory. Within the theoretical framework of the multi-component model, one candidate gene has been proposed, namely ROBO1 for the hypothetical phonological loop component of working memory.&lt;br /&gt;
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至于哪些基因与工作记忆的功能有关，我们知之甚少。多成分模型的理论框架提出了一个候选基因，即工作记忆的假设语音环成分ROBO1。&lt;br /&gt;
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== 在学术成就方面的角色 Role in academic achievement ==&lt;br /&gt;
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Working memory capacity is correlated with learning outcomes in literacy and numeracy. Initial evidence for this relation comes from the correlation between working-memory capacity and reading comprehension, as first observed by Daneman and Carpenter (1980)&amp;lt;ref&amp;gt;{{Cite journal|title = Individual differences in working memory and reading|journal = Journal of Verbal Learning and Verbal Behavior|date = 1980-08-01|pages = 450–466|volume = 19|issue = 4|doi = 10.1016/S0022-5371(80)90312-6|first1 = Meredyth|last1 = Daneman|first2 = Patricia A.|last2 = Carpenter}}&amp;lt;/ref&amp;gt; and confirmed in a later meta-analytic review of several studies.&amp;lt;ref&amp;gt;{{Cite journal|last1=Daneman|first1=Meredyth|last2=Merikle|first2=Philip M.|title=Working memory and language comprehension: A meta-analysis|journal=Psychonomic Bulletin &amp;amp; Review|language=en|volume=3|issue=4|pages=422–433|doi=10.3758/BF03214546|pmid=24213976|issn=1069-9384|year=1996|doi-access=free}}&amp;lt;/ref&amp;gt; Subsequent work found that working memory performance in primary school children accurately predicted performance in mathematical problem solving.&amp;lt;ref&amp;gt;{{Cite journal|last1=Swanson|first1=H. Lee|last2=Beebe-Frankenberger|first2=Margaret|year=2004|title=The Relationship Between Working Memory and Mathematical Problem Solving in Children at Risk and Not at Risk for Serious Math Difficulties|journal=Journal of Educational Psychology|volume=96|issue=3|pages=471–491|doi=10.1037/0022-0663.96.3.471}}&amp;lt;/ref&amp;gt; One longitudinal study showed that a child's working memory at 5 years old is a better predictor of academic success than IQ.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Alloway TP, Alloway RG |title=Investigating the predictive roles of working memory and IQ in academic attainment |journal=Journal of Experimental Child Psychology |volume=106|issue=1|pages= 20–9|year=2010|pmid=20018296 |doi=10.1016/j.jecp.2009.11.003|url=https://www.pure.ed.ac.uk/ws/files/11958608/Investigating_the_predictive_roles_of_working_memory_and_IQ_in_academic_attainment.pdf }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Working memory capacity is correlated with learning outcomes in literacy and numeracy. Initial evidence for this relation comes from the correlation between working-memory capacity and reading comprehension, as first observed by Daneman and Carpenter (1980) and confirmed in a later meta-analytic review of several studies. Subsequent work found that working memory performance in primary school children accurately predicted performance in mathematical problem solving. One longitudinal study showed that a child's working memory at 5 years old is a better predictor of academic success than IQ.&lt;br /&gt;
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工作记忆容量与识字和算术能力的学习成果相关。这种关系的初步证据来自于工作记忆容量和阅读理解之间的相关性，丹尼曼 Daneman 和 卡朋特 Carpenter 在1980年首次观察到这一现象，在后来的几项研究的综合分析中也得到证实。随后的研究发现小学生的工作记忆表现能准确地预测数学问题解决的表现。一项追踪研究表明，孩子5岁时的工作记忆比智商更能预测他的学术成就。&lt;br /&gt;
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In a large-scale screening study, one in ten children in mainstream classrooms were identified with working memory deficits. The majority of them performed very poorly in academic achievements, independent of their IQ.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Alloway TP, Gathercole SE, Kirkwood H, Elliott J |title=The cognitive and behavioral characteristics of children with low working memory |journal=Child Development |volume=80 |issue=2 |pages=606–21 |year=2009 |pmid=19467014 |doi=10.1111/j.1467-8624.2009.01282.x|hdl=1893/978 |hdl-access=free }}&amp;lt;/ref&amp;gt; Similarly, working memory deficits have been identified in national curriculum low-achievers as young as seven years of age.&amp;lt;ref&amp;gt;{{Cite journal|title = Working memory deficits in children with low achievements in the national curriculum at 7 years of age|journal = British Journal of Educational Psychology|date = 2000-06-01|issn = 2044-8279|pages = 177–194|volume = 70|issue = 2|doi = 10.1348/000709900158047|language = en|first1 = Susan E.|last1 = Gathercole|first2 = Susan J.|last2 = Pickering|pmid=10900777}}&amp;lt;/ref&amp;gt; Without appropriate intervention, these children lag behind their peers. A recent study of 37 school-age children with significant learning disabilities has shown that working memory capacity at baseline measurement, but not IQ, predicts learning outcomes two years later.&amp;lt;ref&amp;gt;{{Cite journal|first1=Tracy Packiam |last1=Alloway |year=2009 |journal=European Journal of Psychological Assessment |volume=25 |issue=2 |pages=92–8 |doi=10.1027/1015-5759.25.2.92 |title=Working Memory, but Not IQ, Predicts Subsequent Learning in Children with Learning Difficulties|hdl=1893/1005 |hdl-access=free }}&amp;lt;/ref&amp;gt; This suggests that working memory impairments are associated with low learning outcomes and constitute a high risk factor for educational underachievement for children. In children with learning disabilities such as [[dyslexia]], [[ADHD]], and developmental coordination disorder, a similar pattern is evident.&amp;lt;ref&amp;gt;{{cite book | last1 = Pickering | first1 = Susan J. | title = Working memory in dyslexia | editor1 = Tracy Packiam Alloway |editor2=Susan E Gathercole | work = Working memory and neurodevelopmental disorders | publisher = Psychology Press | year = 2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =   63692704}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1 = Wagner | first1 = Richard K. | last2 = Muse | first2 = Andrea | title = Short-term memory deficits in developmental dyslexia | editor1 = Tracy Packiam Alloway|editor2=Susan E Gathercole | work = Working memory and neurodevelopmental disorders | publisher = Psychology Press | year = 2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =  63692704}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1 = Roodenrys  | first1 = Steve  | title = Working memory function in attention deficit hyperactivity disorder | editor1 =  Tracy Packiam Alloway|editor2=Susan E Gathercole | work = orking memory and neurodevelopmental disorders | publisher =  Psychology Press | year =  2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =   63692704}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1 = Alloway | first1 = Tracy Packiam | title = Working memory skills in children with developmental coordination disorder | editor1 =  Tracy Packiam Alloway|editor2=Susan E Gathercole | work = orking memory and neurodevelopmental disorders | publisher =  Psychology Press | year =  2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =   63692704}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a large-scale screening study, one in ten children in mainstream classrooms were identified with working memory deficits. The majority of them performed very poorly in academic achievements, independent of their IQ. Similarly, working memory deficits have been identified in national curriculum low-achievers as young as seven years of age. Without appropriate intervention, these children lag behind their peers. A recent study of 37 school-age children with significant learning disabilities has shown that working memory capacity at baseline measurement, but not IQ, predicts learning outcomes two years later. This suggests that working memory impairments are associated with low learning outcomes and constitute a high risk factor for educational underachievement for children. In children with learning disabilities such as dyslexia, ADHD, and developmental coordination disorder, a similar pattern is evident.&lt;br /&gt;
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在一项大规模的筛查研究中，主流教室中十分之一的儿童被确定为工作记忆缺陷。他们中的大多数在学术成就上表现非常贫乏，这与他们的智商无关。同样，国家课程标准把早至7岁的工作记忆缺陷儿童定性为低成就学生。如果没有适当的干预，这些孩子就会落后于同龄人。最近一项针对37名显著学习障碍的学龄儿童的研究表明，基线测量的工作记忆能力而非智商，可预测其两年后的学习结果。表明工作记忆障碍与低学习成绩有关，并成为儿童教育成绩不佳的高风险因素。在有学习障碍的儿童中，如诵读困难、多动症和失用症，类似模式是显著的。&lt;br /&gt;
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== 与注意力的关系 Relation to attention ==&lt;br /&gt;
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There is some evidence that optimal working memory performance links to the neural ability to focus attention on task-relevant information and to ignore distractions,&amp;lt;ref&amp;gt;{{Cite journal|date=March 2009|title=Neural suppression of irrelevant information underlies optimal working memory performance|journal=The Journal of Neuroscience|volume=29|issue=10|pages=3059–66|doi=10.1523/JNEUROSCI.4621-08.2009|pmc=2704557|pmid=19279242|author=Zanto, T. P.|author2=Gazzaley, A.}}&amp;lt;/ref&amp;gt; and that practice-related improvement in working memory is due to increasing these abilities.&amp;lt;ref&amp;gt;{{cite journal|last2=Zanto|first2=T.&amp;amp;nbsp;P.|last3=Rutman|first3=A.&amp;amp;nbsp;M.|last4=Clapp|first4=W.&amp;amp;nbsp;C.|last5=Gazzaley|first5=A.|year=2009|title=Practice-related improvement in working memory is modulated by changes in processing external interference|journal=Journal of Neurophysiology|volume=102|issue=3|pages=1779–89|doi=10.1152/jn.00179.2009|pmc=2746773|pmid=19587320|last1=Berry|first1=A.&amp;amp;nbsp;S.}}&amp;lt;/ref&amp;gt; One line of research suggests a link between the working memory capacities of a person and their ability to control the orientation of attention to stimuli in the environment.&amp;lt;ref name=&amp;quot;attention09&amp;quot;&amp;gt;{{Cite journal|vauthors=Fukuda K, Vogel EK |title=Human variation in overriding attentional capture |journal=The Journal of Neuroscience |volume=29 |issue=27 |pages=8726–33 |date=July 2009 |pmid=19587279 |pmc=6664881 |doi=10.1523/JNEUROSCI.2145-09.2009}}&amp;lt;/ref&amp;gt; Such control enables people to attend to information important for their current goals, and to ignore goal-irrelevant stimuli that tend to capture their attention due to their sensory [[salience (neuroscience)|saliency]] (such as an ambulance siren). The direction of attention according to one's goals is assumed to rely on &amp;quot;top-down&amp;quot; signals from the pre-frontal cortex (PFC) that biases processing in [[posterior cortex|posterior cortical areas]].&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Desimone R, Duncan J |title=Neural mechanisms of selective visual attention |journal=Annual Review of Neuroscience |volume=18 |pages=193–222 |year=1995 |pmid=7605061 |doi=10.1146/annurev.ne.18.030195.001205}}&amp;lt;/ref&amp;gt; Capture of attention by salient stimuli is assumed to be driven by &amp;quot;bottom-up&amp;quot; signals from subcortical structures and the primary sensory cortices.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Yantis S, Jonides J |title=Abrupt visual onsets and selective attention: voluntary versus automatic allocation |journal=Journal of Experimental Psychology. Human Perception and Performance |volume=16 |issue=1 |pages=121–34 |date=February 1990 |pmid=2137514 |url=http://content.apa.org/journals/xhp/16/1/121 |doi=10.1037/0096-1523.16.1.121|citeseerx=10.1.1.211.5016 }}&amp;lt;/ref&amp;gt; The ability to override &amp;quot;bottom-up&amp;quot; capture of attention differs between individuals, and this difference has been found to correlate with their performance in a working-memory test for visual information.&amp;lt;ref name=&amp;quot;attention09&amp;quot; /&amp;gt; Another study, however, found no correlation between the ability to override attentional capture and measures of more general working-memory capacity.&amp;lt;ref&amp;gt;{{Cite journal|last1=Mall|first1=Jonathan T.|last2=Morey|first2=Candice C.|last3=Wolff|first3=Michael J.|last4=Lehnert|first4=Franziska|date=2014-01-09|title=Visual selective attention is equally functional for individuals with low and high working memory capacity: Evidence from accuracy and eye movements|journal=Attention, Perception, &amp;amp; Psychophysics|language=en|volume=76|issue=7|pages=1998–2014|doi=10.3758/s13414-013-0610-2|pmid=24402698|issn=1943-3921|url=http://orca.cf.ac.uk/105362/1/Morey.%20Visual%20selective.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is some evidence that optimal working memory performance links to the neural ability to focus attention on task-relevant information and to ignore distractions, and that practice-related improvement in working memory is due to increasing these abilities. One line of research suggests a link between the working memory capacities of a person and their ability to control the orientation of attention to stimuli in the environment. Such control enables people to attend to information important for their current goals, and to ignore goal-irrelevant stimuli that tend to capture their attention due to their sensory saliency (such as an ambulance siren). The direction of attention according to one's goals is assumed to rely on &amp;quot;top-down&amp;quot; signals from the pre-frontal cortex (PFC) that biases processing in posterior cortical areas. Capture of attention by salient stimuli is assumed to be driven by &amp;quot;bottom-up&amp;quot; signals from subcortical structures and the primary sensory cortices. The ability to override &amp;quot;bottom-up&amp;quot; capture of attention differs between individuals, and this difference has been found to correlate with their performance in a working-memory test for visual information.&lt;br /&gt;
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有证据表明，较佳的工作记忆表现与集中注意力于任务相关信息并忽略干扰的神经能力有关，也就是说因练习而来的工作记忆改善实际上是上述能力改善的结果。一项研究表明，工作记忆能力和人对环境刺激的注意力方向的控制能力之间存在联系。这种控制让人得以关注对其当前目标重要的信息，忽略与目标无关的刺激，这些刺激由于其感官显著性（如救护车警报器）而倾向于吸引注意力。基于个体目标的注意力方向依赖于前额叶皮质(PFC)“自上而下”的信号，这种信号偏向于后皮质区的处理过程。显著刺激而获取的注意力受由皮层下结构和初级感觉皮层的“自下而上”的信号所驱动。&lt;br /&gt;
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== 与神经系统疾病的关系 Relationship with neural disorders ==&lt;br /&gt;
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An impairment of working memory functioning is normally seen in several neural disorders:&lt;br /&gt;
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An impairment of working memory functioning is normally seen in several neural disorders:&lt;br /&gt;
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工作记忆功能障碍通常见于以下神经系统疾病:&lt;br /&gt;
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'''ADHD:''' Several authors&amp;lt;ref&amp;gt;Barkley; Castellanos and Tannock; Pennington and Ozonoff; Schachar (according to the source)&amp;lt;/ref&amp;gt; have proposed that symptoms of [[ADHD]] arise from a primary deficit in a specific executive function (EF) domain such as working memory, response inhibition or a more general weakness in executive control.&amp;lt;ref name=&amp;quot;WillcuttDoyle2005&amp;quot;&amp;gt;{{cite journal|date=June 2005|title=Validity of the executive function theory of attention-deficit/hyperactivity disorder: a meta-analytic review|journal=Biol. Psychiatry|volume=57|issue=11|pages=1336–46|doi=10.1016/j.biopsych.2005.02.006|pmid=15950006|vauthors=Willcutt EG, Doyle AE, Nigg JT, Faraone SV, Pennington BF}}&amp;lt;/ref&amp;gt; A meta-analytical review cites several studies that found significant lower group results for ADHD in spatial and verbal working memory tasks, and in several other EF tasks. However, the authors concluded that EF weaknesses neither are necessary nor sufficient to cause all cases of ADHD.&amp;lt;ref name=&amp;quot;WillcuttDoyle2005&amp;quot; /&amp;gt;&lt;br /&gt;
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ADHD: Several authors have proposed that symptoms of ADHD arise from a primary deficit in a specific executive function (EF) domain such as working memory, response inhibition or a more general weakness in executive control. A meta-analytical review cites several studies that found significant lower group results for ADHD in spatial and verbal working memory tasks, and in several other EF tasks. However, the authors concluded that EF weaknesses neither are necessary nor sufficient to cause all cases of ADHD.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;注意力缺陷多动障碍（ADHD）&amp;lt;/font&amp;gt;''': 一些研究者提出ADHD 的症状源于一个特定 '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;执行功能（EF） Executive Function (EF)&amp;lt;/font&amp;gt;'''领域的原发性缺陷，如工作记忆、反应抑制或执行控制方面更普遍的缺陷。一项综合分析综述引用了几项研究，这些研究发现在空间和语言工作记忆任务及其他几项EF任务中，ADHD有较低的群体成绩。然而，研究者的结论是EF缺陷既非必要也不足以引起所有的ADHD病例。&lt;br /&gt;
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Several [[neurotransmitters]], such as [[dopamine]] and [[glutamate]] may be both involved in ADHD and working memory. Both are associated with the [[frontal lobe|frontal]] brain, self-direction and self-regulation, but [[Causality|cause–effect]] have not been confirmed, so it is unclear whether working memory dysfunction leads to ADHD, or ADHD distractibility leads to poor functionality of working memory, or if there is some other connection.&amp;lt;ref&amp;gt;[http://guilfordjournals.com/doi/abs/10.1521/adhd.2008.16.6.8 Working Memory as a Core Deficit in ADHD: Preliminary Findings and Implications] – 2008&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Clark Blackwell 2007&amp;quot;&amp;gt;{{cite journal|date=June 2007|title=Association between response inhibition and working memory in adult ADHD: a link to right frontal cortex pathology?|journal=Biol. Psychiatry|volume=61|issue=12|pages=1395–401|doi=10.1016/j.biopsych.2006.07.020|pmid=17046725|vauthors=Clark L, Blackwell AD, Aron AR, etal}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roodenrys Koloski 2001&amp;quot;&amp;gt;{{cite journal|last2=Koloski|first2=Natasha|last3=Grainger|first3=Jessica|year=2001|title=Working memory function in attention deficit hyperactivity disordered and reading disabled children|journal=British Journal of Developmental Psychology|volume=19|issue=3|pages=325–337|doi=10.1348/026151001166128|issn=0261-510X|last1=Roodenrys|first1=Steven}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Several neurotransmitters, such as dopamine and glutamate may be both involved in ADHD and working memory. Both are associated with the frontal brain, self-direction and self-regulation, but cause–effect have not been confirmed, so it is unclear whether working memory dysfunction leads to ADHD, or ADHD distractibility leads to poor functionality of working memory, or if there is some other connection.&lt;br /&gt;
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多巴胺和谷氨酸盐等多种神经递质可能都与ADHD和工作记忆有关。两者都与额叶大脑、自我定向和自我调节有关，但其因果关系尚未得到证实，所以目前尚不清楚是工作记忆功能障碍导致 ADHD，还是注意力分散导致ADHD工作记忆功能低下，或者是否存在其他联系。&lt;br /&gt;
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'''Parkinson's disease''':&amp;amp;nbsp;Patients with [[Parkinson's]] show signs of a reduced verbal function of working memory. They wanted to find if the reduction is due to a lack of ability to focus on relevant tasks, or a low amount of memory capacity. Twenty-one patients with Parkinson's were tested in comparison to the control group of 28 participants of the same age. The researchers found that both hypotheses were the reason working memory function is reduced which did not fully agree with their hypothesis that it is either one or the other.&amp;lt;ref&amp;gt;{{Cite journal|pmc=2929336|title=Visual working memory deficits in patients with Parkinson's disease are due to both reduced storage capacity and impaired ability to filter out irrelevant information|last=Lee|first=Eun-Young|date=5 August 2010|journal=Brain|volume=133|issue=9|pages=2677–2689|doi=10.1093/brain/awq197|pmid=20688815}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Parkinson's disease:&amp;amp;nbsp;Patients with Parkinson's show signs of a reduced verbal function of working memory. They wanted to find if the reduction is due to a lack of ability to focus on relevant tasks, or a low amount of memory capacity. Twenty-one patients with Parkinson's were tested in comparison to the control group of 28 participants of the same age. The researchers found that both hypotheses were the reason working memory function is reduced which did not fully agree with their hypothesis that it is either one or the other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;帕金森病 Parkinson's Disease&amp;lt;/font&amp;gt;''': 帕金森病患者表现出工作记忆语言功能的减退。研究者想知道这种减少是因为缺乏专注于相关任务的能力，还是因为记忆容量太小。他们对21名帕金森病患者与28名同龄对照组进行了测试。研究人员发现二者都是工作记忆功能减退的原因，而非他们先前假设的原因在二者之一。&lt;br /&gt;
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'''Alzheimer's disease''': As [[Alzheimer's disease]] becomes more serious, less working memory functions. There is one study that focuses on the neural connections and fluidity of working memory in mice brains. Half of the mice were given an injection that is similar to Alzheimer's effects, and the other half were not. Then they were expected to go through a maze that is a task to test working memory. The study help answer questions about how Alzheimer's can deteriorate the working memory and ultimately obliterate memory functions.&amp;lt;ref&amp;gt;{{Cite journal|last=Tiaotiao|first=Liu|date=December 2014|title=Functional connectivity in a rat model of Alzheimer's disease during a working memory task|journal=Current Alzheimer Research|volume=11|issue=10|pages=981–991|doi=10.2174/1567205011666141107125912 |pmid=25387338}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Alzheimer's disease: As Alzheimer's disease becomes more serious, less working memory functions. There is one study that focuses on the neural connections and fluidity of working memory in mice brains. Half of the mice were given an injection that is similar to Alzheimer's effects, and the other half were not. Then they were expected to go through a maze that is a task to test working memory. The study help answer questions about how Alzheimer's can deteriorate the working memory and ultimately obliterate memory functions.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;阿尔茨海默病 Alzheimer's Disease&amp;lt;/font&amp;gt;''': 工作记忆功能随着阿尔茨海默病病情加重而降低。在一项针对老鼠大脑中的神经连接和工作记忆的流动性的研究中，一半的老鼠注射了类似于阿尔茨海默氏症的药物，另一半则没有。然后让它们穿越一个迷宫，即一个工作记忆测试任务。这项研究有助于回答老年痴呆症是如何损害工作记忆并最终消除记忆功能的。&lt;br /&gt;
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'''Huntington's disease''':&amp;amp;nbsp;A group of researchers hosted a study that researched the function and connectivity of working memory over a 30-month longitudinal experiment. It found that there were certain places in the brain where most connectivity was decreased in pre-[[Huntington disease]]d patients, in comparison to the control group that remained consistently functional.&amp;lt;ref&amp;gt;{{Cite journal|last=Poudel|first=Govinda R.|date=January 2015|title=Functional changes during working memory in Huntington's disease: 30-month longitudinal data from the IMAGE-HD study|journal=Brain Structure and Function|volume=220|issue=1|pages=501–512|pmid=24240602|doi=10.1007/s00429-013-0670-z}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Huntington's disease:&amp;amp;nbsp;A group of researchers hosted a study that researched the function and connectivity of working memory over a 30-month longitudinal experiment. It found that there were certain places in the brain where most connectivity was decreased in pre-Huntington diseased patients, in comparison to the control group that remained consistently functional.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;亨廷顿氏病 Huntington's Disease&amp;lt;/font&amp;gt;''': 一组研究人员进行了一项研究工作记忆的功能和连接性的为期30个月的纵向实验。研究发现亨廷顿症患者大脑中特定部位的连接性降低，而对照组功能持续正常。&lt;br /&gt;
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== 参见 See also ==&lt;br /&gt;
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* [[多重记忆模型 Atkinson–Shiffrin memory model]]&lt;br /&gt;
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* {{Section link|Prefrontal cortex|注意力和记忆 Attention and memory}}&lt;br /&gt;
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* [[孤独症与工作记忆 Autism and working memory]]&lt;br /&gt;
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* [[模糊痕迹理论 Fuzzy-trace theory]]&lt;br /&gt;
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* [[中期记忆 Intermediate-term memory]]&lt;br /&gt;
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* [[记忆与老化 Memory and aging]]&lt;br /&gt;
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* [[PBWM|前额叶基底节工作记忆 Prefrontal cortex basal ganglia working memory (PBWM)]]&lt;br /&gt;
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* [[意识结构 Cognitive architecture]]&lt;br /&gt;
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* [[提姆・沙丽斯 Tim Shallice]]&lt;br /&gt;
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== 参考文献 References ==&lt;br /&gt;
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{{Reflist|33em}}&lt;br /&gt;
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== 外部链接 External links ==&lt;br /&gt;
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* [http://psych.colorado.edu/~miyake/MWM%20Chapter%201.pdf Models of Working Memory (Mechanisms of Active Maintenance and Executive Control)]&lt;br /&gt;
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{{Memory}}&lt;br /&gt;
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{{Dyslexia}}&lt;br /&gt;
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[[Category:Memory processes]]&lt;br /&gt;
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Category:Memory processes&lt;br /&gt;
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分类: 记忆过程&lt;br /&gt;
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[[Category:Problem solving]]&lt;br /&gt;
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Category:Problem solving&lt;br /&gt;
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分类: 解决问题&lt;br /&gt;
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[[Category:Human behavior]]&lt;br /&gt;
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Category:Human behavior&lt;br /&gt;
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分类: 人类行为&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Working memory]]. Its edit history can be viewed at [[工作记忆/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
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	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B7%A5%E4%BD%9C%E8%AE%B0%E5%BF%86&amp;diff=13097</id>
		<title>工作记忆</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B7%A5%E4%BD%9C%E8%AE%B0%E5%BF%86&amp;diff=13097"/>
		<updated>2020-08-20T16:25:59Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 多组件模型 The multicomponent model */&lt;/p&gt;
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&lt;div&gt;已由[[Xebec]]进行初步翻译。&lt;br /&gt;
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{{short description|Cognitive system for temporarily holding information}}&lt;br /&gt;
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{{Use dmy dates|date=June 2020}}&lt;br /&gt;
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'''Working memory''' is a cognitive system with a limited capacity that can [[Memory|hold information]] temporarily.&amp;lt;ref&amp;gt;{{Cite book|title=Models of working memory. Mechanisms of active maintenance and executive control|editor1=Miyake, A.|editor2=Shah, P.|publisher=Cambridge University Press|year=1999 |isbn=0-521-58325-X}}&amp;lt;/ref&amp;gt; Working memory is important for reasoning and the guidance of decision-making and behavior.&amp;lt;ref name=&amp;quot;Executive functions&amp;quot;&amp;gt;{{cite journal | author = Diamond A | title = Executive functions | journal = Annu Rev Psychol | volume = 64 | pages = 135–168 | year = 2013 | pmid = 23020641 | pmc = 4084861 | doi = 10.1146/annurev-psych-113011-143750 | quote = WM (holding information in mind and manipulating it) is distinct from short-term memory (just holding information in mind). They cluster onto separate factors in factor analyses of children, adolescents, and adults (Alloway et al. 2004, Gathercole et al. 2004). They are linked to different neural subsystems. WM relies more on dorsolateral prefrontal cortex, whereas maintaining information in mind but not manipulating it [as long as the number of items is not huge (suprathreshold)] does not need involvement of dorsolateral prefrontal cortex (D’Esposito et al. 1999, Eldreth et al. 2006, Smith &amp;amp; Jonides 1999). Imaging studies show frontal activation only in ventrolateral prefrontal cortex for memory maintenance that is not suprathreshold.&amp;lt;br /&amp;gt;&amp;lt;br /&amp;gt;WM and short-term memory also show different developmental progressions; the latter develops earlier and faster.}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;NHM-Cognitive Control&amp;quot;&amp;gt;{{cite book|title=Molecular Neuropharmacology: A Foundation for Clinical Neuroscience|vauthors=Malenka RC, Nestler EJ, Hyman SE|publisher=McGraw-Hill Medical|year=2009|isbn=978-0-07-148127-4|veditors=Sydor A, Brown RY|edition=2nd|location=New York|pages=313–321|chapter=Chapter 13: Higher Cognitive Function and Behavioral Control|quote={{bull}} Executive function, the cognitive control of behavior, depends on the prefrontal cortex, which is highly developed in higher primates and especially humans.&amp;lt;br /&amp;gt;{{bull}} Working memory is a short-term, capacity-limited cognitive buffer that stores information and permits its manipulation to guide decision-making and behavior.&amp;amp;nbsp;...&amp;lt;br /&amp;gt; working memory may be impaired in ADHD, the most common childhood psychiatric disorder seen in clinical settings&amp;amp;nbsp;... ADHD can be conceptualized as a disorder of executive function; specifically, ADHD is characterized by reduced ability to exert and maintain cognitive control of behavior. Compared with healthy individuals, those with ADHD have diminished ability to suppress inappropriate prepotent responses to stimuli (impaired response inhibition) and diminished ability to inhibit responses to irrelevant stimuli (impaired interference suppression).&amp;amp;nbsp;... Early results with structural MRI show thinning of the cerebral cortex in ADHD subjects compared with age-matched controls in prefrontal cortex and posterior parietal cortex, areas involved in working memory and attention.}}&amp;lt;/ref&amp;gt; Working memory is often used synonymously with [[short-term memory]], but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information.&amp;lt;ref name=&amp;quot;Executive functions&amp;quot; /&amp;gt;&amp;lt;ref name=&amp;quot;Cowan&amp;quot;&amp;gt;{{Cite book | title = What are the differences between long-term, short-term, and working memory? | author=Cowan, Nelson | journal=Prog. Brain Res. | year=2008 | issue=169 | pages=323–338 |pmid=18394484 | doi=10.1016/S0079-6123(07)00020-9 | pmc=2657600 | volume=169| series=Progress in Brain Research | isbn=978-0-444-53164-3 }}&amp;lt;/ref&amp;gt; Working memory is a theoretical concept central to [[cognitive psychology]], neuropsychology, and [[neuroscience]].&lt;br /&gt;
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Working memory is a cognitive system with a limited capacity that can hold information temporarily. Working memory is important for reasoning and the guidance of decision-making and behavior. Working memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information. Working memory is a theoretical concept central to cognitive psychology, neuropsychology, and neuroscience.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;工作记忆 Working Memory&amp;lt;/font&amp;gt;'''是一种能临时容纳有限信息的认知系统，对推理、决策倾向和行为倾向起到至关作用。工作记忆常作为短期记忆的同义词，但一些理论学者认为工作记忆能够处理所调用的既存信息，而'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;短期记忆 Short-term Memory&amp;lt;/font&amp;gt;''', 仅指短期存储的信息，故二者不同。工作记忆是认知心理学、神经心理学和神经科学的核心理论概念。&lt;br /&gt;
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== 历史 History ==&lt;br /&gt;
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The term &amp;quot;working memory&amp;quot; was coined by [[George Armitage Miller|Miller]], [[Eugene Galanter|Galanter]], and [[Karl H. Pribram|Pribram]],&amp;lt;ref name=&amp;quot;isbn0-03-010075-5&amp;quot;&amp;gt;{{cite book |author1=Pribram, Karl H. |author2=Miller, George A. |author3=Galanter, Eugene |title=Plans and the structure of behavior |publisher=Holt, Rinehart and Winston |location=New York |year=1960 |pages=[https://archive.org/details/plansstructureo00mill/page/65 65] |isbn=978-0-03-010075-8 |oclc=190675 |url-access=registration |url=https://archive.org/details/plansstructureo00mill/page/65 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|author=Baddeley A |title=Working memory: looking back and looking forward |journal=Nature Reviews Neuroscience |volume=4 |issue=10 |pages=829–39 |date=October 2003 |pmid=14523382 |doi=10.1038/nrn1201}}&amp;lt;/ref&amp;gt; and was used in the 1960s in the context of theories that likened the mind to a computer. In 1968, [[Atkinson–Shiffrin memory model|Atkinson and Shiffrin]]&amp;lt;ref name=&amp;quot;Atkinson Shiffrin 1968&amp;quot;&amp;gt;{{cite book | last1 = Atkinson    | first1 = R.C. | last2 = Shiffrin | first2 = R.M.  | title = Human Memory: A Proposed System and its Control Processes | volume = 2 |pages = 89–195| editor1 = Kenneth W Spence |editor2= Janet T Spence | work = The psychology of learning and motivation | publisher = Academic Press | year = 1968 | isbn = 978-0-12-543302-0 |oclc = 185468704 |doi = 10.1016/S0079-7421(08)60422-3}}&amp;lt;/ref&amp;gt; used the term to describe their &amp;quot;short-term store&amp;quot;. What we now call working memory was formerly referred to variously as a &amp;quot;short-term store&amp;quot; or [[short-term memory]], primary memory, immediate memory, operant memory, and provisional memory.&amp;lt;ref name=&amp;quot;Fuster 1997&amp;quot;&amp;gt;{{cite book |author=Fuster, Joaquin M. |title=The prefrontal cortex: anatomy, physiology, and neuropsychology of the frontal lobe |publisher=Lippincott-Raven |location=Philadelphia |year=1997 |isbn=978-0-397-51849-4 |oclc=807338522 }}{{Page needed|date=September 2010}}&amp;lt;/ref&amp;gt; Short-term memory is the ability to remember information over a brief period (in the order of seconds). Most theorists today use the concept of working memory to replace or include the older concept of short-term memory, marking a stronger emphasis on the notion of manipulating information rather than mere maintenance.&lt;br /&gt;
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The term &amp;quot;working memory&amp;quot; was coined by Miller, Galanter, and Pribram, and was used in the 1960s in the context of theories that likened the mind to a computer. In 1968, Atkinson and Shiffrin used the term to describe their &amp;quot;short-term store&amp;quot;. What we now call working memory was formerly referred to variously as a &amp;quot;short-term store&amp;quot; or short-term memory, primary memory, immediate memory, operant memory, and provisional memory. Short-term memory is the ability to remember information over a brief period (in the order of seconds). Most theorists today use the concept of working memory to replace or include the older concept of short-term memory, marking a stronger emphasis on the notion of manipulating information rather than mere maintenance.&lt;br /&gt;
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“'''&amp;lt;font color=&amp;quot;#ff800&amp;quot;&amp;gt;工作记忆 Working Memory&amp;lt;/font&amp;gt;'''”这个术语由米勒 Miller、加兰特 Galanter和普里布拉姆 Pribram 提出，在20世纪60年代用于把大脑类比作计算机的理论中。1968年，阿特金森 Atkinson和谢福林 Shiffrin 用该术语来表述“短期存储”。我们现在所说的工作记忆就是之前的“短期存储”、“短期记忆”、“初级记忆”、“即时记忆”、“操作记忆”或“临时记忆”。短期记忆是在再短时间内（以秒为单位）记住信息的能力。大多数理论学者现在使用“工作记忆”概念取代或包含早期“短期记忆”的概念，体现出更强调信息操纵的观念。&lt;br /&gt;
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The earliest mention of experiments on the neural basis of working memory can be traced back to more than 100 years ago, when [[Eduard Hitzig|Hitzig]] and [[David Ferrier|Ferrier]] described [[ablation]] experiments of the [[prefrontal cortex]] (PFC); they concluded that the frontal cortex was important for cognitive rather than sensory processes.&amp;lt;ref name=Fuster1&amp;gt;{{Cite book|last1= Fuster|first1= Joaquin |title= The prefrontal cortex |page= 126 |url= https://books.google.com/books?id=zuZlvNICdhUC&amp;amp;pg=PT140 |edition= 4 |year= 2008 |publisher= Elsevier |location= Oxford, UK |isbn= 978-0-12-373644-4}}&amp;lt;/ref&amp;gt; In 1935 and 1936, Carlyle Jacobsen and colleagues were the first to show the deleterious effect of prefrontal ablation on delayed response.&amp;lt;ref name=Fuster1 /&amp;gt;&amp;lt;ref name=Benton&amp;gt;{{Cite book|last1= Benton|first1= A.&amp;amp;nbsp;L.|editor1-first= Harvey,&amp;amp;nbsp;S.|editor1-last= Levin|editor2-first= Howard,&amp;amp;nbsp;M.|editor2-last= Eisenberg|editor3-first= Arthur,&amp;amp;nbsp;L.|editor3-last= Benton|title= Frontal lobe function and dysfunction|chapter-url= https://books.google.com/books?id=9b1htO0V0rwC&amp;amp;pg=PA19&amp;amp;lpg=PA19&amp;amp;dq=Jacobsen++prefrontal+ablation&amp;amp;q=Jacobsen%20%20prefrontal%20ablation|year= 1991|publisher= Oxford University Press|location= New York|isbn= 978-0-19-506284-7|page= 19|chapter= The prefrontal region:Its early history}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The earliest mention of experiments on the neural basis of working memory can be traced back to more than 100 years ago, when Hitzig and Ferrier described ablation experiments of the prefrontal cortex (PFC); they concluded that the frontal cortex was important for cognitive rather than sensory processes. In 1935 and 1936, Carlyle Jacobsen and colleagues were the first to show the deleterious effect of prefrontal ablation on delayed response.&lt;br /&gt;
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提及工作记忆神经学基础的实验最早可追溯到100多年前希齐格 Hitzig 和费里尔 Ferrier 用于描述前额叶皮质消融实验研究（PFC），当时得出结论认为额叶皮层对认知程序比对感官程序更重要。在1935年和1936年， 卡莱尔 · 雅各布森 Carlyle Jacobsen及其同事们首次揭示了前额叶切除对延时反映的不良影响。&lt;br /&gt;
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== 理论 Theories ==&lt;br /&gt;
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Numerous models have been proposed for how working memory functions, both anatomically and cognitively. Of those, the two that have been most influential are summarized below.&lt;br /&gt;
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Numerous models have been proposed for how working memory functions, both anatomically and cognitively. Of those, the two that have been most influential are summarized below.&lt;br /&gt;
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在解刨学和认知学上，神经模型已经提出工作记忆发挥功能的机制，其中最有影响力的两个模型概括如下：&lt;br /&gt;
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=== 多组件模型 The multicomponent model ===&lt;br /&gt;
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{{Main|Baddeley's model of working memory}}&lt;br /&gt;
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[[File:Baddeley and Hitch's Working Memory Model.png|thumb|300px|巴德利 Baddeley和希池 Hitch 的工作记忆模型]]&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）图片按照 [图1：中文加英文]进行修改&lt;br /&gt;
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Baddeley and Hitch's model of working memory&lt;br /&gt;
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巴德利 Baddeley和希池 Hitch 的工作记忆模型&lt;br /&gt;
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In 1974, [[Alan Baddeley|Baddeley]] and [[Graham Hitch|Hitch]]&amp;lt;ref name=&amp;quot;Baddeley Hitch 1974&amp;quot;&amp;gt;{{cite book | last1 = Baddeley    | first1 = Alan D.  | last2 = Hitch | first2 = Graham  | title = Working Memory | volume = 2 | editor = Gordon H. Bower | work = The psychology of learning and motivation | publisher = Academic Press | year = 1974 | pages = 47–89 | isbn = 978-0-12-543308-2 |oclc = 777285348 |doi= 10.1016/S0079-7421(08)60452-1}}&amp;lt;/ref&amp;gt; introduced the [[Baddeley's model of working memory|multicomponent model of working memory]]. The theory proposed a model containing three components: the central executive, the phonological loop, and the visuospatial sketchpad with the central executive functioning as a control center of sorts, directing info between the phonological and visuospatial components.&amp;lt;ref name=&amp;quot;Levin 2011&amp;quot;&amp;gt;{{Cite book|title = Working Memory : Capacity, Developments and Improvement Techniques|last = Levin|first = E.S.|publisher = [[Nova Science Publishers, Inc.]]|year = 2011|location = New York}}&amp;lt;/ref&amp;gt; The [[Baddeley's model of working memory#Central executive|central executive]] is responsible for, among other things, directing [[attention]] to relevant information, suppressing irrelevant information and inappropriate actions, and coordinating cognitive processes when more than one task is simultaneously performed. A &amp;quot;central executive&amp;quot; is responsible for supervising the integration of information and for coordinating subordinate systems responsible for the short-term maintenance of information. One subordinate system, the [[phonological loop]] (PL), stores phonological information (that is, the sound of language) and prevents its decay by continuously refreshing it in a [[memory rehearsal|rehearsal]] loop. It can, for example, maintain a seven-digit telephone number for as long as one repeats the number to oneself again and again.&amp;lt;ref&amp;gt;{{Cite book|title = Variations in psychology|last = Weiten|first = W.|publisher = Wadsworth|year = 2013|location = New York|pages = 281–282|edition = 9}}&amp;lt;/ref&amp;gt; The other subordinate system, the [[Baddeley's model of working memory#Visuospatial sketchpad|visuospatial sketchpad]], stores visual and spatial information. It can be used, for example, for constructing and manipulating visual images and for representing mental maps. The sketchpad can be further broken down into a visual subsystem (dealing with such phenomena as shape, colour, and texture), and a spatial subsystem (dealing with location).&lt;br /&gt;
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In 1974, Baddeley and Hitch introduced the multicomponent model of working memory. The theory proposed a model containing three components: the central executive, the phonological loop, and the visuospatial sketchpad with the central executive functioning as a control center of sorts, directing info between the phonological and visuospatial components. The central executive is responsible for, among other things, directing attention to relevant information, suppressing irrelevant information and inappropriate actions, and coordinating cognitive processes when more than one task is simultaneously performed. A &amp;quot;central executive&amp;quot; is responsible for supervising the integration of information and for coordinating subordinate systems responsible for the short-term maintenance of information. One subordinate system, the phonological loop (PL), stores phonological information (that is, the sound of language) and prevents its decay by continuously refreshing it in a rehearsal loop. It can, for example, maintain a seven-digit telephone number for as long as one repeats the number to oneself again and again. The other subordinate system, the visuospatial sketchpad, stores visual and spatial information. It can be used, for example, for constructing and manipulating visual images and for representing mental maps. The sketchpad can be further broken down into a visual subsystem (dealing with such phenomena as shape, colour, and texture), and a spatial subsystem (dealing with location).&lt;br /&gt;
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1974年，巴德利 Baddeley和希池 Hitch提出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;工作记忆多组件模型 Multicomponent Model of Working Memory&amp;lt;/font&amp;gt;'''，是一个包含三个组件的模型：中央执行器组件、语音回路组件、视觉绘板组件，其中'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;中央执行器 Central Executive&amp;lt;/font&amp;gt;'''作为某种控制中心，负责疏导语音回路和视觉绘板之间的信息传递。中央处理器还负责对有关信息的注意力引导，对无关信息及不当行为的抑制，对多任务同时执行时认知程序的协调等。中央执行器还负责监督信息的整合、以及对负责短期信息维护的子系统间的协调。'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;语音回路（PL） Phonological Loop (PL)&amp;lt;/font&amp;gt;'''存储语音信息并不断刷新以防止其衰退，例如一个7位数的电话号码只要持续刷新就可一直保持。而'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;视觉绘板 Visuospatial Sketchpad&amp;lt;/font&amp;gt;'''存储视觉和空间信息，例如构建、操控视觉图像及展现精神世界。视觉绘板还可进一步分为视觉子系统（处理形状、颜色和纹理等现象）和空间子系统（处理位置）。&lt;br /&gt;
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In 2000, Baddeley extended the model by adding a fourth component, the [[Baddeley's model of working memory#Episodic buffer|episodic buffer]], which holds representations that integrate phonological, visual, and spatial information, and possibly information not covered by the subordinate systems (e.g.,&amp;amp;nbsp;semantic information, musical information). The episodic buffer is also the link between working memory and long-term memory.&amp;lt;ref name=&amp;quot;Weiten 2013 281–282&amp;quot;&amp;gt;{{Cite book|title = Variations in psychology|last = Weiten|first = W.|publisher = Wadsworth|year = 2013|location = Belmont, CA|pages = 281–282|edition = 9}}&amp;lt;/ref&amp;gt; The component is episodic because it is assumed to bind information into a unitary episodic representation. The episodic buffer resembles Tulving's concept of [[episodic memory]], but it differs in that the episodic buffer is a temporary store.&amp;lt;ref&amp;gt;{{cite journal | url=http://nbu.bg/cogs/events/2002/materials/Markus/ep_bufer.pdf | title=The episodic buffer: a new component of working memory? | author=Baddeley, A. D. | journal=Trends Cogn. Sci. | year=2000 | volume=4 | issue=11 | pages=417–423 | doi=10.1016/S1364-6613(00)01538-2 | pmid=11058819}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In 2000, Baddeley extended the model by adding a fourth component, the episodic buffer, which holds representations that integrate phonological, visual, and spatial information, and possibly information not covered by the subordinate systems (e.g.,&amp;amp;nbsp;semantic information, musical information). The episodic buffer is also the link between working memory and long-term memory. The component is episodic because it is assumed to bind information into a unitary episodic representation. The episodic buffer resembles Tulving's concept of episodic memory, but it differs in that the episodic buffer is a temporary store.&lt;br /&gt;
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2000年，巴德利 Baddeley 增加了第四个组件——'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;情景缓冲区 Episodic Buffer&amp;lt;/font&amp;gt;'''扩展了该模型。情景缓冲区包含并一体化地描述语音、视觉、空间信息，及可能未被子系统涵盖的信息（例如语义、音乐）。情景缓冲区也是工作记忆和长期记忆之间的枢纽。该组件的基本假设是把信息绑定到单一情节表示，因此是情节性的。情景缓冲区与图尔文 Tulving'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;情景记忆 Episodic Memory&amp;lt;/font&amp;gt;'''的概念类似，不同之处在于情景缓冲区是临时存储。&lt;br /&gt;
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=== 作为长期记忆一部分的工作记忆 Working memory as part of long-term memory ===&lt;br /&gt;
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{{Annotated image|caption=The central executive of working memory is retrieving memory from long-term memory.|image=WorkingMemory Label Free.jpg|width=320|height=179|image-width=320|image-left=0|image-top=0|annotations={{Annotation|130|15|Central Executive|font-weight=bold|font-size=10}}&lt;br /&gt;
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{{Annotation|10|160|Long-term Memory|font-weight=bold|font-size=10}}}}[[Anders Ericsson]] and [[Walter Kintsch]]&amp;lt;ref&amp;gt;{{cite journal|year=1995|title=Long-term working memory.|journal=Psychological Review|volume=102|issue=2|pages=211–245|doi=10.1037/0033-295X.102.2.211|pmid=7740089|author=Ericsson, K. A.|author2=Kintsch, W.|lastauthoramp=y}}&amp;lt;/ref&amp;gt; have introduced the notion of &amp;quot;long-term working memory&amp;quot;, which they define as a set of &amp;quot;retrieval structures&amp;quot; in long-term memory that enable seamless access to the information relevant for everyday tasks. In this way, parts of long-term memory effectively function as working memory. In a similar vein, [[Nelson Cowan|Cowan]] does not regard working memory as a separate system from [[long-term memory]]. Representations in working memory are a subset of representations in long-term memory. Working memory is organized into two embedded levels. The first consists of long-term memory representations that are activated. There can be many of these—there is theoretically no limit to the activation of representations in long-term memory. The second level is called the focus of attention. The focus is regarded as having a limited capacity and holds up to four of the activated representations.&amp;lt;ref name=&amp;quot;Cowan 1995&amp;quot;&amp;gt;{{cite book |author=Cowan, Nelson |title=Attention and memory: an integrated framework |publisher=Oxford University Press |location=Oxford [Oxfordshire] |year=1995 |isbn=978-0-19-506760-6 |oclc=30475237 }}{{Page needed|date=September 2010}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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}}Anders Ericsson and Walter Kintsch have introduced the notion of &amp;quot;long-term working memory&amp;quot;, which they define as a set of &amp;quot;retrieval structures&amp;quot; in long-term memory that enable seamless access to the information relevant for everyday tasks. In this way, parts of long-term memory effectively function as working memory. In a similar vein, Cowan does not regard working memory as a separate system from long-term memory. Representations in working memory are a subset of representations in long-term memory. Working memory is organized into two embedded levels. The first consists of long-term memory representations that are activated. There can be many of these—there is theoretically no limit to the activation of representations in long-term memory. The second level is called the focus of attention. The focus is regarded as having a limited capacity and holds up to four of the activated representations.&lt;br /&gt;
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安德斯 · 埃里克森 Anders Ericsson 和沃尔特 · 金奇  Walter Kintsch 引入了“'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;长期工作记忆 Long-term Working Memory&amp;lt;/font&amp;gt;'''”的概念，其定义为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;长期记忆 Long-term Memory&amp;lt;/font&amp;gt;'''中能让人无缝获取日常所需信息的一组“检索结构” 。即一部分长期记忆有效地发挥了工作记忆的功能。同样，考恩 Cowan 并不认为工作记忆是独立于长期记忆的系统。工作记忆中的表征是长期记忆中表征的一个子集。工作记忆被组织成两个嵌入层次。第一层包括被激活的长期记忆表征（可能很多，鉴于理论上在长时记忆中表征的激活是没有上限的）。第二层叫做注意力焦点，焦点是一个最多可容纳四个激活表征的有限能力。&lt;br /&gt;
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Oberauer has extended Cowan's model by adding a third component, a more narrow focus of attention that holds only one chunk at a time. The one-element focus is embedded in the four-element focus and serves to select a single chunk for processing. For example, four digits can be held in mind at the same time in Cowan's &amp;quot;focus of attention&amp;quot;. When the individual wishes to perform a process on each of these digits—for example, adding the number two to each digit—separate processing is required for each digit since most individuals cannot perform several mathematical processes in parallel.&amp;lt;ref&amp;gt;{{Cite journal|title = Attention, working memory, and long-term memory in multimedia learning: A integrated perspective based on process models of working memory|last = Schweppe|first = J.|date = 2014|journal = Educational Psychology Review|doi = 10.1007/s10648-013-9242-2|issue = 2|volume = 26|page = 289}}&amp;lt;/ref&amp;gt; Oberauer's attentional component selects one of the digits for processing and then shifts the attentional focus to the next digit, continuing until all digits have been processed.&amp;lt;ref&amp;gt;{{Cite journal|author=Oberauer K |title=Access to information in working memory: exploring the focus of attention |journal=Journal of Experimental Psychology: Learning, Memory, and Cognition |volume=28 |issue=3 |pages=411–21 |date=May 2002 |pmid=12018494 |doi=10.1037/0278-7393.28.3.411|citeseerx=10.1.1.163.4979 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Oberauer has extended Cowan's model by adding a third component, a more narrow focus of attention that holds only one chunk at a time. The one-element focus is embedded in the four-element focus and serves to select a single chunk for processing. For example, four digits can be held in mind at the same time in Cowan's &amp;quot;focus of attention&amp;quot;. When the individual wishes to perform a process on each of these digits—for example, adding the number two to each digit—separate processing is required for each digit since most individuals cannot perform several mathematical processes in parallel. Oberauer's attentional component selects one of the digits for processing and then shifts the attentional focus to the next digit, continuing until all digits have been processed.&lt;br /&gt;
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奥伯奥尔 Oberauer 通过添加第三个组件扩展了考恩 Cowan 的模型，第三个组件是一个更窄的注意焦点，一次只能容纳一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;组块 Chunk&amp;lt;/font&amp;gt;'''。一元素焦点系统嵌入在四元素焦点系统中，用于选择要处理的单个块。例如，在考恩 Cowan 的“注意力焦点”中，四个数字可以同时出现在脑海中。当个体要对每个数字进行处理时（例如，将数字2加到每个数字）就要对每个数字进行独立处理（因大多数个人不能同时进行多个数学处理）。奥伯奥尔 Oberauer 的注意力组件将选择其中一个数字进行处理，然后将注意力的焦点转到下一个数字，直到所有数字都处理完毕。&lt;br /&gt;
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== 容量 Capacity ==&lt;br /&gt;
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Working memory is widely acknowledged as having limited capacity. An early quantification of the capacity limit associated with short-term memory was the &amp;quot;[[The Magical Number Seven, Plus or Minus Two|magical number seven]]&amp;quot; suggested by Miller in 1956.&amp;lt;ref name=&amp;quot;miller&amp;quot;&amp;gt;{{Cite journal|author=Miller GA |title=The magical number seven plus or minus two: some limits on our capacity for processing information |journal=Psychological Review |volume=63 |issue=2 |pages=81–97 |date=March 1956 |pmid=13310704 |doi=10.1037/h0043158|citeseerx=10.1.1.308.8071 }} Republished: {{Cite journal|author=Miller GA |title=The magical number seven, plus or minus two: some limits on our capacity for processing information. 1956 |journal=Psychological Review |volume=101 |issue=2 |pages=343–52 |date=April 1994 |pmid=8022966 |doi=10.1037/0033-295X.101.2.343}}&amp;lt;/ref&amp;gt; He claimed that the information-processing capacity of young adults is around seven elements, which he called &amp;quot;chunks&amp;quot;, regardless of whether the elements are digits, letters, words, or other units. Later research revealed this number depends on the category of chunks used (e.g., span may be around seven for digits, six for letters, and five for words), and even on features of the [[chunking (psychology)|chunks]] within a category. For instance, span is lower for long than short words. In general, memory span for verbal contents (digits, letters, words, etc.) depends on the phonological complexity of the content (i.e., the number of phonemes, the number of syllables),&amp;lt;ref&amp;gt;{{Cite journal|last=Service|first=Elisabet|date=1998-05-01|title=The Effect of Word Length on Immediate Serial Recall Depends on Phonological Complexity, Not Articulatory Duration|journal=The Quarterly Journal of Experimental Psychology Section A|volume=51|issue=2|pages=283–304|doi=10.1080/713755759|issn=0272-4987}}&amp;lt;/ref&amp;gt; and on the lexical status of the contents (whether the contents are words known to the person or not).&amp;lt;ref&amp;gt;{{Cite journal|first1=Charles |last1=Hulme |first2=Steven |last2=Roodenrys |first3=Gordon |last3=Brown |first4=Robin |last4=Mercer |date=November 1995 |title=The role of long-term memory mechanisms in memory span |journal=British Journal of Psychology |volume=86 |issue=4 |pages=527–36 |doi=10.1111/j.2044-8295.1995.tb02570.x}}&amp;lt;/ref&amp;gt; Several other factors affect a person's measured span, and therefore it is difficult to pin down the capacity of short-term or working memory to a number of chunks. Nonetheless, Cowan proposed that working memory has a capacity of about four chunks in young adults (and fewer in children and old adults).&amp;lt;ref&amp;gt;{{Cite journal|first1=Nelson |last1=Cowan |year=2001 |title=The magical number 4 in short-term memory: A reconsideration of mental storage capacity |journal=Behavioral and Brain Sciences |volume=24 |issue=1 |pages=87–185 |doi=10.1017/S0140525X01003922 |pmid=11515286|doi-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Working memory is widely acknowledged as having limited capacity. An early quantification of the capacity limit associated with short-term memory was the &amp;quot;magical number seven&amp;quot; suggested by Miller in 1956. He claimed that the information-processing capacity of young adults is around seven elements, which he called &amp;quot;chunks&amp;quot;, regardless of whether the elements are digits, letters, words, or other units. Later research revealed this number depends on the category of chunks used (e.g., span may be around seven for digits, six for letters, and five for words), and even on features of the chunks within a category. For instance, span is lower for long than short words. In general, memory span for verbal contents (digits, letters, words, etc.) depends on the phonological complexity of the content (i.e., the number of phonemes, the number of syllables), and on the lexical status of the contents (whether the contents are words known to the person or not). Several other factors affect a person's measured span, and therefore it is difficult to pin down the capacity of short-term or working memory to a number of chunks. Nonetheless, Cowan proposed that working memory has a capacity of about four chunks in young adults (and fewer in children and old adults).&lt;br /&gt;
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通说认为工作记忆容量有限，一个对短期记忆的早期量化是1956年米勒 Miller提出的“'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;神奇数字7 The Magical Number Seven&amp;lt;/font&amp;gt;'''”。他主张年轻人的信息处理能力大约是7个元素，称之为组块（chunk），组块内容可以是数字、字母、单词或其他单元。后续的研究发现，这个数字的大小取决于所用组块的类别（例如规模可能在约7个数字、6个字母、5个单词）甚至取决于该类别中组块的特征。例如，长词的组块数会低于短词的组块数。一般而言口头内容（数字、字母、单词）记忆规模取决于内容的音系复杂度（即音素、音节的量）以及所用词汇状态（内容所用单词是否为主体所知）。还有其他若干因素会影响可测量的记忆规模，因此难以确定短期记忆或工作记忆的组块数。尽管如此，考恩 Cowan主张年轻成人的工作记忆容量大约是4个组块（儿童和老年人则更少）。&lt;br /&gt;
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Whereas most adults can repeat about seven digits in correct order, some individuals have shown impressive enlargements of their digit span—up to 80 digits. This feat is possible by extensive training on an encoding strategy by which the digits in a list are grouped (usually in groups of three to five) and these groups are encoded as a single unit (a chunk). For this to succeed, participants must be able to recognize the groups as some known string of digits. One person studied by Ericsson and his colleagues, for example, used an extensive knowledge of racing times from the history of sports in the process of coding chunks: several such chunks could then be combined into a higher-order chunk, forming a hierarchy of chunks. In this way, only some chunks at the highest level of the hierarchy must be retained in working memory, and for retrieval the chunks are unpacked. That is, the chunks in working memory act as retrieval cues that point to the digits they contain. Practicing memory skills such as these does not expand working memory capacity proper: it is the capacity to transfer (and retrieve) information from long-term memory that is improved, according to Ericsson and Kintsch (1995; see also Gobet &amp;amp; Simon, 2000&amp;lt;ref name=&amp;quot;Gobet F 2000 551–70&amp;quot;&amp;gt;{{Cite journal|date=November 2000|title=Some shortcomings of long-term working memory|journal=British Journal of Psychology|volume=91|issue=Pt 4|pages=551–70|doi=10.1348/000712600161989|pmid=11104178|author=Gobet F|url=http://bura.brunel.ac.uk/handle/2438/807|type=Submitted manuscript}}&amp;lt;/ref&amp;gt;).&lt;br /&gt;
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Whereas most adults can repeat about seven digits in correct order, some individuals have shown impressive enlargements of their digit span—up to 80 digits. This feat is possible by extensive training on an encoding strategy by which the digits in a list are grouped (usually in groups of three to five) and these groups are encoded as a single unit (a chunk). For this to succeed, participants must be able to recognize the groups as some known string of digits. One person studied by Ericsson and his colleagues, for example, used an extensive knowledge of racing times from the history of sports in the process of coding chunks: several such chunks could then be combined into a higher-order chunk, forming a hierarchy of chunks. In this way, only some chunks at the highest level of the hierarchy must be retained in working memory, and for retrieval the chunks are unpacked. That is, the chunks in working memory act as retrieval cues that point to the digits they contain. Practicing memory skills such as these does not expand working memory capacity proper: it is the capacity to transfer (and retrieve) information from long-term memory that is improved, according to Ericsson and Kintsch (1995; see also Gobet &amp;amp; Simon, 2000).&lt;br /&gt;
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大多数成年人能够正确地重复大约7个数字，但有些个体显示出显著扩大的数字记忆规模——高达80个数字。这种技术可以通过对编码策略的广泛训练来实现。按编码策略将列表中的数字分组（通常分3到5组）并将这些组编码为一个独立单元（一个组块）。要实现这一点，参与者必须能够将组块识别为某些已知的数字字符串。例如，埃里克森 Ericsson 和他的同事的研究对象利用了体育历史中比赛时间的广泛知识来编写代码组块: 几个这样的组块可组合成一个更高级的组块，形成组块层次结构。如此，只有层次结构最高级别的一些组块必须保持在工作记忆中，且这些组块是开放于检索的。也就是说，工作记忆中的组块作为提取线索发挥作用，提取它们所指向的数字内容。埃里克森 Ericsson 和 金茨 Kintsch （1995; 参见 Gobet &amp;amp; Simon，2000）认为，练习这种记忆技术并不能真正提高工作记忆容量，所提高的是从长期记忆中传递（和检索）信息的容量。&lt;br /&gt;
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=== 测量和关联 Measures and correlates ===&lt;br /&gt;
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Working memory capacity can be tested by a variety of tasks. A commonly used measure is a dual-task paradigm, combining a [[memory span]] measure with a concurrent processing task, sometimes referred to as &amp;quot;complex span&amp;quot;. Daneman and Carpenter invented the first version of this kind of task, the &amp;quot;[[reading span]]&amp;quot;, in 1980.&amp;lt;ref&amp;gt;{{Cite journal|first1=Meredyth |last1=Daneman |first2=Patricia A. |last2=Carpenter |date=August 1980 |title=Individual differences in working memory and reading |journal=Journal of Verbal Learning &amp;amp; Verbal Behavior |volume=19 |issue=4 |pages=450–66 |doi=10.1016/S0022-5371(80)90312-6}}&amp;lt;/ref&amp;gt; Subjects read a number of sentences (usually between two and six) and tried to remember the last word of each sentence. At the end of the list of sentences, they repeated back the words in their correct order. Other tasks that do not have this dual-task nature have also been shown to be good measures of working memory capacity.&amp;lt;ref&amp;gt;{{Cite journal|last2=Süss|first2=H.-M.|last3=Schulze|first3=R.|last4=Wilhelm|first4=O.|last5=Wittmann|first5=W.&amp;amp;nbsp;W.|date=December 2000|title=Working memory capacity—facets of a cognitive ability construct|journal=Personality and Individual Differences|volume=29|issue=6|pages=1017–45|doi=10.1016/S0191-8869(99)00251-2|first1=K.|last1=Oberauer}}&amp;lt;/ref&amp;gt; Whereas Daneman and Carpenter believed that the combination of &amp;quot;storage&amp;quot; (maintenance) and processing is needed to measure working memory capacity, we know now that the capacity of working memory can be measured with short-term memory tasks that have no additional processing component.&amp;lt;ref&amp;gt;{{Cite journal|last1=Unsworth|first1=Nash|last2=Engle|first2=Randall W.|title=On the division of short-term and working memory: An examination of simple and complex span and their relation to higher order abilities.|journal=Psychological Bulletin|volume=133|issue=6|pages=1038–1066|doi=10.1037/0033-2909.133.6.1038|pmid=17967093|year=2007}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last=Colom, R. Abad, F. J. Quiroga, M. A. Shih, P. C. Flores-Mendoza, C.|year=2008|title=Working memory and intelligence are highly related constructs, but why?|journal=Intelligence|volume=36|issue=6|pages=584–606|doi=10.1016/j.intell.2008.01.002}}&amp;lt;/ref&amp;gt; Conversely, working memory capacity can also be measured with certain processing tasks that don't involve maintenance of information.&amp;lt;ref&amp;gt;{{Cite journal|last=Oberauer, K. Süß, H.-M. Wilhelm, O. Wittmann, W. W.|year=2003|title=The multiple faces of working memory - storage, processing, supervision, and coordination|doi=10.1016/s0160-2896(02)00115-0|journal=Intelligence|volume=31|issue=2|pages=167–193|url=https://www.zora.uzh.ch/id/eprint/97155/1/intelligence.pdf}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last=Chuderski|first=Adam|date=2013-09-25|title=The relational integration task explains fluid reasoning above and beyond other working memory tasks|journal=Memory &amp;amp; Cognition|language=en|volume=42|issue=3|pages=448–463|doi=10.3758/s13421-013-0366-x|issn=0090-502X|pmc=3969517|pmid=24222318}}&amp;lt;/ref&amp;gt; The question of what features a task must have to qualify as a good measure of working memory capacity is a topic of ongoing research.&lt;br /&gt;
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Working memory capacity can be tested by a variety of tasks. A commonly used measure is a dual-task paradigm, combining a memory span measure with a concurrent processing task, sometimes referred to as &amp;quot;complex span&amp;quot;. Daneman and Carpenter invented the first version of this kind of task, the &amp;quot;reading span&amp;quot;, in 1980. Subjects read a number of sentences (usually between two and six) and tried to remember the last word of each sentence. At the end of the list of sentences, they repeated back the words in their correct order. Other tasks that do not have this dual-task nature have also been shown to be good measures of working memory capacity. Whereas Daneman and Carpenter believed that the combination of &amp;quot;storage&amp;quot; (maintenance) and processing is needed to measure working memory capacity, we know now that the capacity of working memory can be measured with short-term memory tasks that have no additional processing component. Conversely, working memory capacity can also be measured with certain processing tasks that don't involve maintenance of information. The question of what features a task must have to qualify as a good measure of working memory capacity is a topic of ongoing research.&lt;br /&gt;
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工作记忆容量可以通过一系列任务来测试。一个常用的度量方法是双任务范例，它将'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;记忆广度测度 Memory Span Measure&amp;lt;/font&amp;gt;'''与并发处理任务（有时称为“复杂规模”）结合起来。1980年，丹曼 Daneman 和 卡朋特 Carpenter 发明了这类任务的第一个版本——“阅读广度”。受试者阅读大量的句子（通常2至6个） ，并努力记住每个句子的最后一个单词。句子阅读完后他们按照自己认为正确的顺序复述单词。还有一些其他非双重任务性质的任务也是测量工作记忆容量的好办法。丹曼 Daneman 和 卡朋特 Carpenter 相信“存储”（维护）和加工的结合是测量工作记忆容量所必须的，现在我们知道工作记忆的容量既可以用没有额外处理组件的短时记忆任务来测量，也可以用不涉及信息维护的某些处理任务来衡量。至于用于测量工作记忆容量的好的任务方案应当具备哪些特征，是一个尚在研究中的课题。&lt;br /&gt;
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Measures of working-memory capacity are strongly related to performance in other complex cognitive tasks, such as reading comprehension, problem solving, and with measures of [[intelligence quotient]].&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Conway AR, Kane MJ, Engle RW |title=Working memory capacity and its relation to general intelligence |journal=Trends in Cognitive Sciences |volume=7 |issue=12 |pages=547–52 |date=December 2003 |pmid=14643371 |doi=10.1016/j.tics.2003.10.005|citeseerx=10.1.1.538.4967 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Measures of working-memory capacity are strongly related to performance in other complex cognitive tasks, such as reading comprehension, problem solving, and with measures of intelligence quotient.&lt;br /&gt;
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工作记忆容量的测度与其他复杂认知任务中的表现有强相关关系，例如阅读理解、问题解决和智商。&lt;br /&gt;
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Some researchers have argued&amp;lt;ref&amp;gt;{{Cite journal|author=Engle, R. W.|author2=Tuholski, S. W.|author3=Laughlin, J. E.|author4=Conway, A. R. |title=Working memory, short-term memory, and general fluid intelligence: a latent-variable approach |journal=Journal of Experimental Psychology: General |volume=128 |issue=3 |pages=309–31 |date=September 1999 |pmid=10513398 |doi=10.1037/0096-3445.128.3.309|url=https://semanticscholar.org/paper/cf15817ee5f9c1536ee4da2c4c018555600ca91b}}&amp;lt;/ref&amp;gt; that working-memory capacity reflects the efficiency of executive functions, most notably the ability to maintain multiple task-relevant representations in the face of distracting irrelevant information; and that such tasks seem to reflect individual differences in the ability to focus and maintain attention, particularly when other events are serving to capture attention. Both working memory and executive functions rely strongly, though not exclusively, on frontal brain areas.&amp;lt;ref name=&amp;quot;Kane MJ, Engle RW 2002 637–71&amp;quot;&amp;gt;{{Cite journal|doi=10.3758/BF03196323|author=Kane, M. J.|author2=Engle, R. W.|title=The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: an individual-differences perspective |journal=Psychonomic Bulletin &amp;amp; Review |volume=9 |issue=4 |pages=637–71 |date=December 2002 |pmid=12613671 |url=http://pbr.psychonomic-journals.org/cgi/pmidlookup?view=long&amp;amp;pmid=12613671|doi-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Some researchers have argued that working-memory capacity reflects the efficiency of executive functions, most notably the ability to maintain multiple task-relevant representations in the face of distracting irrelevant information; and that such tasks seem to reflect individual differences in the ability to focus and maintain attention, particularly when other events are serving to capture attention. Both working memory and executive functions rely strongly, though not exclusively, on frontal brain areas.&lt;br /&gt;
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一些研究人员主张，工作记忆容量反映出执行功能的效率，其中最具代表性的是在面对分散注意力的不相关信息时维持多个任务相关表征的能力; 且这样的任务似乎也反映出在集中注意力和保持注意力方面的个体能力差异（特别是当其他事件能吸引注意力时）。工作记忆和执行功能都非常依赖（但不限于）额叶大脑区域。&lt;br /&gt;
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Other researchers have argued that the capacity of working memory is better characterized as the ability to mentally form relations between elements, or to grasp relations in given information. This idea has been advanced, among others, by Graeme Halford, who illustrated it by our limited ability to understand statistical interactions between variables.&amp;lt;ref&amp;gt;{{Cite journal|author=Halford, G. S.|author2=Baker, R.|author3=McCredden, J. E.|author4=Bain, J. D. |title=How many variables can humans process? |journal=Psychological Science |volume=16 |issue=1 |pages=70–76 |date=January 2005 |pmid=15660854 |doi=10.1111/j.0956-7976.2005.00782.x}}&amp;lt;/ref&amp;gt; These authors asked people to compare written statements about the relations between several variables to graphs illustrating the same or a different relation, as in the following sentence: &amp;quot;If the cake is from France, then it has more sugar if it is made with chocolate than if it is made with cream, but if the cake is from Italy, then it has more sugar if it is made with cream than if it is made of chocolate&amp;quot;. This statement describes a relation between three variables (country, ingredient, and amount of sugar), which is the maximum most individuals can understand. The capacity limit apparent here is obviously not a memory limit (all relevant information can be seen continuously) but a limit to how many relationships are discerned simultaneously.&lt;br /&gt;
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Other researchers have argued that the capacity of working memory is better characterized as the ability to mentally form relations between elements, or to grasp relations in given information. This idea has been advanced, among others, by Graeme Halford, who illustrated it by our limited ability to understand statistical interactions between variables. These authors asked people to compare written statements about the relations between several variables to graphs illustrating the same or a different relation, as in the following sentence: &amp;quot;If the cake is from France, then it has more sugar if it is made with chocolate than if it is made with cream, but if the cake is from Italy, then it has more sugar if it is made with cream than if it is made of chocolate&amp;quot;. This statement describes a relation between three variables (country, ingredient, and amount of sugar), which is the maximum most individuals can understand. The capacity limit apparent here is obviously not a memory limit (all relevant information can be seen continuously) but a limit to how many relationships are discerned simultaneously.&lt;br /&gt;
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另一些研究人员主张，用心理上形成或抓取元素间关系的能力来描述工作记忆容量更佳。Graeme Halford 格雷姆 · 哈尔福德在用我们理解变量之间统计交互作用的有限能力时形成并提出了这个想法。这些发起人要求人们把关于几个变量之间关系的书面陈述与相应的图示（说明相同或不同关系）进行比较，例如: ”如果蛋糕来自法国，那么用巧克力做的比用奶油做的含糖量高，但如果蛋糕来自意大利，那么用奶油做的比用巧克力做的含糖量高”。这个陈述描述了三个变量之间的关系（国家、成分和糖量） ，这是大多数人能够理解的最大值。这里的容量限制显然不是记忆量限制（所有相关信息都可完整看到） ，而是同时识别关系量的限制。&lt;br /&gt;
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=== 工作记忆容量的试验研究 Experimental studies of working-memory capacity ===&lt;br /&gt;
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There are several hypotheses about the nature of the capacity limit. One is that a limited pool of cognitive resources is needed to keep representations active and thereby available for processing, and for carrying out processes.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite journal|author=Just, M. A.|author2=Carpenter, P. A. |title=A capacity theory of comprehension: individual differences in working memory |journal=Psychological Review |volume=99 |issue=1 |pages=122–49 |date=January 1992 |pmid=1546114 |doi=10.1037/0033-295X.99.1.122|url=http://repository.cmu.edu/cgi/viewcontent.cgi?article=1730&amp;amp;context=psychology }}&amp;lt;/ref&amp;gt; Another hypothesis is that memory traces in working memory decay within a few seconds, unless refreshed through rehearsal, and because the speed of rehearsal is limited, we can maintain only a limited amount of information.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.3758/BF03198549|author=Towse, J. N.|author2=Hitch, G. J.|author3=Hutton, U.|title=On the interpretation of working memory span in adults |journal=Memory &amp;amp; Cognition |volume=28 |issue=3 |pages=341–8 |date=April 2000 |pmid=10881551|doi-access=free }}&amp;lt;/ref&amp;gt; Yet another idea is that representations held in working memory interfere with each other.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Waugh NC, Norman DA |title=Primary Memory |journal=Psychological Review |volume=72 |issue= 2|pages=89–104 |date=March 1965 |pmid=14282677 |doi=10.1037/h0021797}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There are several hypotheses about the nature of the capacity limit. One is that a limited pool of cognitive resources is needed to keep representations active and thereby available for processing, and for carrying out processes. Another hypothesis is that memory traces in working memory decay within a few seconds, unless refreshed through rehearsal, and because the speed of rehearsal is limited, we can maintain only a limited amount of information. Yet another idea is that representations held in working memory interfere with each other.&lt;br /&gt;
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关于容量极限的性质有几种假设。一种观点认为其性质是一种前提性有限认知资源池，作为保持记忆表征激活进而处理的前提，另一种观点认为工作记忆若不反复刷新将会在几秒内衰退，而刷新速率是有限的，所以我们只能维持一定的信息量。还有观点认为容量极限是处于工作记忆中表征之间互相干涉的结果。&lt;br /&gt;
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====衰变理论 Decay theories====&lt;br /&gt;
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The assumption that the contents of short-term or working memory [[decay theory|decay]] over time, unless decay is prevented by rehearsal, goes back to the early days of experimental research on short-term memory.&amp;lt;ref&amp;gt;{{Cite journal|last=Brown, J.|year=1958|title=Some tests of the decay theory of immediate memory|journal=Quarterly Journal of Experimental Psychology|volume=10|pages=12–21|doi=10.1080/17470215808416249}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|author1=Peterson, L. R. |author2=Peterson, M. J.|year=1959|title=Short-term retention of individual verbal items|journal=Journal of Experimental Psychology|volume=58|issue=3|pages=193–198|doi=10.1037/h0049234|pmid=14432252|citeseerx=10.1.1.227.1807}}&amp;lt;/ref&amp;gt; It is also an important assumption in the multi-component theory of working memory.&amp;lt;ref&amp;gt;{{Cite book|title=Working memory|author1=Baddeley, A. D.|publisher=Clarendon|year=1986|location=Oxford}}&amp;lt;/ref&amp;gt; The most elaborate decay-based theory of working memory to date is the &amp;quot;time-based resource sharing model&amp;quot;.&amp;lt;ref&amp;gt;{{Cite journal|date=March 2004|title=Time constraints and resource sharing in adults' working memory spans|journal=Journal of Experimental Psychology: General|volume=133|issue=1|pages=83–100|doi=10.1037/0096-3445.133.1.83|pmid=14979753|vauthors=Barrouillet P, Bernardin S, Camos V|citeseerx=10.1.1.379.9208}}&amp;lt;/ref&amp;gt; This theory assumes that representations in working memory decay unless they are refreshed. Refreshing them requires an attentional mechanism that is also needed for any concurrent processing task. When there are small time intervals in which the processing task does not require attention, this time can be used to refresh memory traces. The theory therefore predicts that the amount of forgetting depends on the temporal density of attentional demands of the processing task—this density is called &amp;quot;cognitive load&amp;quot;. The cognitive load depends on two variables, the rate at which the processing task requires individual steps to be carried out, and the duration of each step. For example, if the processing task consists of adding digits, then having to add another digit every half second places a higher cognitive load on the system than having to add another digit every two seconds. In a series of experiments, Barrouillet and colleagues have shown that memory for lists of letters depends neither on the number of processing steps nor the total time of processing but on cognitive load.&amp;lt;ref&amp;gt;{{citation|title=Time and cognitive load in working memory|date=May 2007|journal=J Exp Psychol Learn Mem Cogn|vauthors=Barrouillet P, Bernardin S, Portrat S, Vergauwe E, Camos V|volume=33|issue=3|pages=570–585|doi=10.1037/0278-7393.33.3.570|pmid=17470006|url=https://archive-ouverte.unige.ch/unige:88299}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The assumption that the contents of short-term or working memory decay over time, unless decay is prevented by rehearsal, goes back to the early days of experimental research on short-term memory. It is also an important assumption in the multi-component theory of working memory. The most elaborate decay-based theory of working memory to date is the &amp;quot;time-based resource sharing model&amp;quot;. This theory assumes that representations in working memory decay unless they are refreshed. Refreshing them requires an attentional mechanism that is also needed for any concurrent processing task. When there are small time intervals in which the processing task does not require attention, this time can be used to refresh memory traces. The theory therefore predicts that the amount of forgetting depends on the temporal density of attentional demands of the processing task—this density is called &amp;quot;cognitive load&amp;quot;. The cognitive load depends on two variables, the rate at which the processing task requires individual steps to be carried out, and the duration of each step. For example, if the processing task consists of adding digits, then having to add another digit every half second places a higher cognitive load on the system than having to add another digit every two seconds. In a series of experiments, Barrouillet and colleagues have shown that memory for lists of letters depends neither on the number of processing steps nor the total time of processing but on cognitive load.&lt;br /&gt;
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该理论假设短期记忆或工作记忆的内容会随着时间的推移而'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;衰退 Decay&amp;lt;/font&amp;gt;'''，除非通过刷新来防止衰退，这种理论可追溯到短期记忆早期的实验研究。这也是工作记忆多元理论中的一个重要假设。迄今为止，最详尽的基于衰减假设的工作记忆理论是“基于时间的资源共享模型”。该理论假设工作记忆中不断衰退的表征需要刷新维持，而刷新需要注意力机制，而注意力又对于任何并发进程任务都是必需的。当进程任务存在不需要注意力的微小时间间隔时，该时间可刷新记忆痕迹。因此，该理论预测遗忘量取决于进程任务临时所需注意力的密度，这种密度叫做“认知负荷”。认知负荷取决于两个变量，一是进程任务需要单个步骤执行的速率，二是每个步骤的持续时间。例如，如果处理任务包括添加数字，那么每半秒添加一个数字会比每两秒添加一个数字给系统带来更大的认知负荷。在一系列的实验中，巴鲁耶 Barrouillet 及其同事已证明字母列表的记忆并不取决于处理步骤数量或者处理总时间，而是取决于认知负荷。&lt;br /&gt;
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==== 资源理论 Resource theories====&lt;br /&gt;
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Resource theories assume that the capacity of working memory is a limited resource that must be shared between all representations that need to be maintained in working memory simultaneously.&amp;lt;ref&amp;gt;{{Cite journal|last1=Ma|first1=W. J.|author2=Husain, M.|author3=Bays, P. M.|year=2014|title=Changing concepts of working memory|journal=Nature Reviews Neuroscience|volume=17|issue=3|pages=347–356|doi=10.1038/nn.3655|pmid=24569831|pmc=4159388}}&amp;lt;/ref&amp;gt; Some resource theorists also assume that maintenance and concurrent processing share the same resource;&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt; this can explain why maintenance is typically impaired by a concurrent processing demand. Resource theories have been very successful in explaining data from tests of working memory for simple visual features, such as colors or orientations of bars. An ongoing debate is whether the resource is a continuous quantity that can be subdivided among any number of items in working memory, or whether it consists of a small number of discrete &amp;quot;slots&amp;quot;, each of which can be assigned to one memory item, so that only a limited number of about 3 items can be maintained in working memory at all.&amp;lt;ref&amp;gt;{{Cite journal|last1=van den Berg|first1=Ronald|last2=Awh|first2=Edward|last3=Ma|first3=Wei Ji|title=Factorial comparison of working memory models.|journal=Psychological Review|volume=121|issue=1|pages=124–149|doi=10.1037/a0035234|pmc=4159389|pmid=24490791|year=2014}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Resource theories assume that the capacity of working memory is a limited resource that must be shared between all representations that need to be maintained in working memory simultaneously. Some resource theorists also assume that maintenance and concurrent processing share the same resource;&lt;br /&gt;
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资源理论认为工作记忆容量是一种有限的资源，这种资源被所有需要同时保存在工作记忆中的表征共享。一些资源理论学者假设维护和并行处理也占用同样的资源;&lt;br /&gt;
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==== 干涉理论 Interference theories====&lt;br /&gt;
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Several forms of [[Interference theory|interference]] have been discussed by theorists. One of the oldest ideas is that new items simply replace older ones in working memory. Another form of interference is retrieval competition. For example, when the task is to remember a list of 7 words in their order, we need to start recall with the first word. While trying to retrieve the first word, the second word, which is represented in proximity, is accidentally retrieved as well, and the two compete for being recalled. Errors in serial recall tasks are often confusions of neighboring items on a memory list (so-called transpositions), showing that retrieval competition plays a role in limiting our ability to recall lists in order, and probably also in other working memory tasks. A third form of interference is the distortion of representations by superposition: When multiple representations are added on top of each other, each of them is blurred by the presence of all the others.&amp;lt;ref&amp;gt;{{Cite journal|last1=Oberauer|first1=Klaus|last2=Lewandowsky|first2=Stephan|last3=Farrell|first3=Simon|last4=Jarrold|first4=Christopher|last5=Greaves|first5=Martin|date=2012-06-20|title=Modeling working memory: An interference model of complex span|journal=Psychonomic Bulletin &amp;amp; Review|language=en|volume=19|issue=5|pages=779–819|doi=10.3758/s13423-012-0272-4|pmid=22715024|issn=1069-9384|url=http://doc.rero.ch/record/320568/files/13423_2012_Article_272.pdf}}&amp;lt;/ref&amp;gt; A fourth form of interference assumed by some authors is feature overwriting.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1016/j.jml.2006.08.009 |title=A formal model of capacity limits in working memory |date=November 2006 |first1=Klaus |last1=Oberauer |first2=Reinhold |last2=Kliegl |journal=Journal of Memory and Language |volume=55 |issue=4 |pages=601–26|doi-access=free }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1007/s00221-010-2501-2 |pmid=21132280 |title=Distractor frequency influences performance in vibrotactile working memory |year=2011 |first1=T. |last1=Bancroft |first2=P. |last2=Servos |journal=Experimental Brain Research |volume=208 |issue=4 |pages=529–32}}&amp;lt;/ref&amp;gt; The idea is that each word, digit, or other item in working memory is represented as a bundle of features, and when two items share some features, one of them steals the features from the other. The more items are held in working memory, and the more their features overlap, the more each of them will be degraded by the loss of some features.&lt;br /&gt;
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Several forms of interference have been discussed by theorists. One of the oldest ideas is that new items simply replace older ones in working memory. Another form of interference is retrieval competition. For example, when the task is to remember a list of 7 words in their order, we need to start recall with the first word. While trying to retrieve the first word, the second word, which is represented in proximity, is accidentally retrieved as well, and the two compete for being recalled. Errors in serial recall tasks are often confusions of neighboring items on a memory list (so-called transpositions), showing that retrieval competition plays a role in limiting our ability to recall lists in order, and probably also in other working memory tasks. A third form of interference is the distortion of representations by superposition: When multiple representations are added on top of each other, each of them is blurred by the presence of all the others. A fourth form of interference assumed by some authors is feature overwriting. The idea is that each word, digit, or other item in working memory is represented as a bundle of features, and when two items share some features, one of them steals the features from the other. The more items are held in working memory, and the more their features overlap, the more each of them will be degraded by the loss of some features.&lt;br /&gt;
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理论家们讨论过几种形式的干涉。最初的观点之一是，新事物只是单纯地取代了工作记忆中的旧事物。另一种干涉形式是检索竞争。例如当任务是顺序记住7个单词时，需要从第一个单词开始回忆，而在试图检索第一个单词时，第二个单词也会意外地被检索到，而这两个单词会竞争忆起。连续回忆任务中的错误通常是记忆列表中相邻项目的混淆(即所谓的换位) ，这表明检索竞争限制了我们顺序回忆列表的能力，在其他工作记忆任务中也可能有这种限制。第三种形式的干涉是叠表征的变形: 当多重表征叠加在一起时，每一表征都因所有其他表征而模糊不清。一些发起人认为的第四种干涉形式是特征覆盖。该观点认为工作记忆中的每个单词、数字或其他项目都被表示为一系列特征，当两个项目共享某些特征时，其中一个就会窃取另一个的特征。工作记忆中保存的条目越多则重叠的特征越多，每个条目由于其某些特征丢失而减损越多。&lt;br /&gt;
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==== 极限 Limitations ====&lt;br /&gt;
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None of these hypotheses can explain the experimental data entirely. The resource hypothesis, for example, was meant to explain the trade-off between maintenance and processing: The more information must be maintained in working memory, the slower and more error prone concurrent processes become, and with a higher demand on concurrent processing memory suffers. This trade-off has been investigated by tasks like the reading-span task described above. It has been found that the amount of trade-off depends on the similarity of the information to be remembered and the information to be processed. For example, remembering numbers while processing spatial information, or remembering spatial information while processing numbers, impair each other much less than when material of the same kind must be remembered and processed.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1016/j.jml.2006.07.009 |title=The relationship between processing and storage in working memory span: Not two sides of the same coin |date=February 2007 |first1=Yukio |last1=Maehara |first2=Satoru |last2=Saito |journal=Journal of Memory and Language |volume=56 |issue=2 |pages=212–228}}&amp;lt;/ref&amp;gt; Also, remembering words and processing digits, or remembering digits and processing words, is easier than remembering and processing materials of the same category.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1076/anec.6.2.99.784 |title=Selection from Working Memory: on the Relationship between Processing and Storage Components |date=June 1999 |last1=Li |first1=Karen Z.H. |journal=Aging, Neuropsychology, and Cognition |volume=6 |issue=2 |pages=99–116}}&amp;lt;/ref&amp;gt; These findings are also difficult to explain for the decay hypothesis, because decay of memory representations should depend only on how long the processing task delays rehearsal or recall, not on the content of the processing task. A further problem for the decay hypothesis comes from experiments in which the recall of a list of letters was delayed, either by instructing participants to recall at a slower pace, or by instructing them to say an irrelevant word once or three times in between recall of each letter. Delaying recall had virtually no effect on recall accuracy.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.3758/BF03196705|vauthors=Lewandowsky S, Duncan M, Brown GD |title=Time does not cause forgetting in short-term serial recall |journal=Psychonomic Bulletin &amp;amp; Review |volume=11 |issue=5 |pages=771–90 |date=October 2004 |pmid=15732687 |url=http://pbr.psychonomic-journals.org/cgi/pmidlookup?view=long&amp;amp;pmid=15732687|doi-access=free }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Oberauer K, Lewandowsky S |title=Forgetting in immediate serial recall: decay, temporal distinctiveness, or interference? |journal=Psychological Review |volume=115 |issue=3 |pages=544–76 |date=July 2008 |pmid=18729591 |doi=10.1037/0033-295X.115.3.544|url=https://api.research-repository.uwa.edu.au/files/1546099/11204_PID11204.pdf }}&amp;lt;/ref&amp;gt; The [[interference theory]] seems to fare best with explaining why the similarity between memory contents and the contents of concurrent processing tasks affects how much they impair each other. More similar materials are more likely to be confused, leading to retrieval competition.&lt;br /&gt;
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None of these hypotheses can explain the experimental data entirely. The resource hypothesis, for example, was meant to explain the trade-off between maintenance and processing: The more information must be maintained in working memory, the slower and more error prone concurrent processes become, and with a higher demand on concurrent processing memory suffers. This trade-off has been investigated by tasks like the reading-span task described above. It has been found that the amount of trade-off depends on the similarity of the information to be remembered and the information to be processed. For example, remembering numbers while processing spatial information, or remembering spatial information while processing numbers, impair each other much less than when material of the same kind must be remembered and processed. Also, remembering words and processing digits, or remembering digits and processing words, is easier than remembering and processing materials of the same category. These findings are also difficult to explain for the decay hypothesis, because decay of memory representations should depend only on how long the processing task delays rehearsal or recall, not on the content of the processing task. A further problem for the decay hypothesis comes from experiments in which the recall of a list of letters was delayed, either by instructing participants to recall at a slower pace, or by instructing them to say an irrelevant word once or three times in between recall of each letter. Delaying recall had virtually no effect on recall accuracy. The interference theory seems to fare best with explaining why the similarity between memory contents and the contents of concurrent processing tasks affects how much they impair each other. More similar materials are more likely to be confused, leading to retrieval competition.&lt;br /&gt;
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这些假说都不能完全解释实验数据。例如，'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;资源理论 Resource Theories&amp;lt;/font&amp;gt;'''旨在解释维护和加工之间的平衡: 工作记忆中所必须保存的信息越多，则并发过程就变得越慢、越容易出错，且对并发加工记忆的要求也越高。这种平衡已通过前述的阅读广度任务等进行了研究。研究发现，平衡量取决于所要记忆或处理的信息的相似性。例如，在处理空间信息时记忆数字，或者在处理数字时记忆空间信息的相互干渉都比在记忆或处理同类材料时要小得多。此外，记忆单词时处理数字，或记忆数字时处理单词，也比记忆和处理同一类别材料时更容易。对于衰退假来说这些发现也很难解释，因为记忆表征的衰退应该只取决于处理任务延迟刷新的时间，而不取决于处理任务的内容。'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;衰退假说 Decay Theories&amp;lt;/font&amp;gt;'''的另一个问题来自于延迟回忆字母列表的实验，要么要求参与者以较慢的速度回忆，要么要求他们在回忆每个字母的间隔说一个不相关单词一至三次。但延迟回忆对回忆准确率几乎没有影响。'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;干扰理论 Interference Theories&amp;lt;/font&amp;gt;'''似乎最好地解释了记忆内容和同时处理任务内容之间的相似性影响它们彼此之间减损程度的原因在于：材料越相似就越容易混淆，导致检索竞争。&lt;br /&gt;
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== 发展 Development ==&lt;br /&gt;
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The capacity of working memory increases gradually over childhood&amp;lt;ref name=&amp;quot;ReferenceA&amp;quot;&amp;gt;{{cite journal | doi = 10.1037/0012-1649.40.2.177 | last1 = Gathercole | first1 = S. E. | last2 = Pickering | first2 = S. J. | last3 = Ambridge | first3 = B. | last4 = Wearing | first4 = H. | year = 2004 | title = The structure of working memory from 4 to 15 years of age | journal = Developmental Psychology | volume = 40 | issue = 2| pages = 177–190 | pmid = 14979759 | citeseerx = 10.1.1.529.2727 }}&amp;lt;/ref&amp;gt; and declines gradually in old age.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1037/0894-4105.8.4.535 | last1 = Salthouse | first1 = T. A. | year = 1994 | title = The aging of working memory | journal = Neuropsychology | volume = 8 | issue = 4| pages = 535–543 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The capacity of working memory increases gradually over childhood and declines gradually in old age.&lt;br /&gt;
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工作记忆的容量在儿童期逐渐增加，在老年期逐渐下降。&lt;br /&gt;
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=== 儿童期 Childhood ===&lt;br /&gt;
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{{Main|Neo-Piagetian theories of cognitive development}}&lt;br /&gt;
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Measures of performance on tests of working memory increase continuously between early childhood and adolescence, while the structure of correlations between different tests remains largely constant.&amp;lt;ref name=&amp;quot;ReferenceA&amp;quot; /&amp;gt; Starting with work in the Neo-Piagetian tradition,&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1016/0001-6918(70)90108-3 | last1 = Pascual-Leone | first1 = J. | year = 1970 | title = A mathematical model for the transition rule in Piaget's developmental stages | journal = Acta Psychologica | volume = 32 | pages = 301–345 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Case, R. (1985). Intellectual development. Birth to adulthood. New York: Academic Press.&amp;lt;/ref&amp;gt; theorists have argued that the growth of working-memory capacity is a major driving force of cognitive development. This hypothesis has received substantial empirical support from studies showing that the capacity of working memory is a strong predictor of cognitive abilities in childhood.&amp;lt;ref&amp;gt;Jarrold, C., &amp;amp; Bayliss, D. M. (2007). Variation in working memory due to typical and atypical development. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake &amp;amp; J. N. Towse (Eds.), Variation in working memory (pp. 137–161). New York: Oxford University Press.&amp;lt;/ref&amp;gt; Particularly strong evidence for a role of working memory for development comes from a longitudinal study showing that working-memory capacity at one age predicts reasoning ability at a later age.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1111/j.1467-9280.2007.01895.x | last1 = Kail | first1 = R. | year = 2007 | title = Longitudinal evidence that increases in processing speed and working memory enhance children's reasoning | journal = Psychological Science | volume = 18 | issue = 4| pages = 312–313 | pmid = 17470254 }}&amp;lt;/ref&amp;gt; Studies in the Neo-Piagetian tradition have added to this picture by analyzing the complexity of cognitive tasks in terms of the number of items or relations that have to be considered simultaneously for a solution. Across a broad range of tasks, children manage task versions of the same level of complexity at about the same age, consistent with the view that working memory capacity limits the complexity they can handle at a given age.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1016/S0010-0285(02)00002-6 | last1 = Andrews | first1 = G. | last2 = Halford | first2 = G. S. | year = 2002 | title = A cognitive complexity metric applied to cognitive development | journal = Cognitive Psychology | volume = 45 | issue = 2| pages = 153–219 | pmid = 12528901 }}&amp;lt;/ref&amp;gt; Although neuroscience studies support the notion that children rely on prefrontal cortex for performing various working memory tasks, an [[fMRI]] meta-analysis on children compared to adults performing the n back task revealed lack of consistent prefrontal cortex activation in children, while posterior regions including the [[insular cortex]] and [[cerebellum]] remain intact.&amp;lt;ref name= &amp;quot;cf&amp;quot;&amp;gt;Yaple, Z., Arsalidou, M (2018). N-back working memory task: Meta-analysis of normative fMRI studies with children, Child Development, 89(6), 2010-2022.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Measures of performance on tests of working memory increase continuously between early childhood and adolescence, while the structure of correlations between different tests remains largely constant. theorists have argued that the growth of working-memory capacity is a major driving force of cognitive development. This hypothesis has received substantial empirical support from studies showing that the capacity of working memory is a strong predictor of cognitive abilities in childhood. Particularly strong evidence for a role of working memory for development comes from a longitudinal study showing that working-memory capacity at one age predicts reasoning ability at a later age. Studies in the Neo-Piagetian tradition have added to this picture by analyzing the complexity of cognitive tasks in terms of the number of items or relations that have to be considered simultaneously for a solution. Across a broad range of tasks, children manage task versions of the same level of complexity at about the same age, consistent with the view that working memory capacity limits the complexity they can handle at a given age. Although neuroscience studies support the notion that children rely on prefrontal cortex for performing various working memory tasks, an fMRI meta-analysis on children compared to adults performing the n back task revealed lack of consistent prefrontal cortex activation in children, while posterior regions including the insular cortex and cerebellum remain intact.&lt;br /&gt;
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工作记忆的测试成绩在儿童早期和青少年期间不断增加，而不同测试之间的相关性结构基本保持不变。理论学者主张工作记忆容量的增长是认知发展的主要驱动力之一。这一假设得到了大量实证研究的支持，研究表明工作记忆能力是童年认知能力的一个强预测因子。工作记忆对发展所起作用的有力证明来自一项追踪研究，该研究表明某年龄工作记忆能力可预测后续年龄的推理能力。 对新皮亚杰传统的的研究也增加到这一图景，该研究分析了认知任务复杂性（情境下需要同时考虑的项目及关系的数量）。在一系列广泛的任务中，相同年龄段的儿童可处理大约同等难度的任务，这与特定年龄的工作记忆容量限制他们能够处理的复杂度的观点一致。虽然神经科学研究支持儿童依靠脑前额叶皮层来完成各种各种工作记忆任务，但一项功能性磁共振成象元分析对比了儿童和成人在n back任务的表现，发现相较而言儿童缺乏持续的脑前额叶皮层激活，而后部区域包括到叶皮质和小脑都没问题。&lt;br /&gt;
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=== 老化 Aging ===&lt;br /&gt;
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Working memory is among the cognitive functions most sensitive to decline in [[old age]].&amp;lt;ref name=&amp;quot;Hertzog 2003&amp;quot;&amp;gt;{{cite journal |vauthors=Hertzog C, Dixon RA, Hultsch DF, MacDonald SW |title=Latent change models of adult cognition: are changes in processing speed and working memory associated with changes in episodic memory? |journal=Psychol Aging |volume=18 |issue=4 |pages=755–69 |date=December 2003 |pmid=14692862 |doi=10.1037/0882-7974.18.4.755 }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Park, D. C. 2002&amp;quot;&amp;gt;{{cite journal |vauthors=Park DC, Lautenschlager G, Hedden T, Davidson NS, Smith AD, Smith PK |title=Models of visuospatial and verbal memory across the adult life span |journal=Psychol Aging |volume=17 |issue=2 |pages=299–320 |date=June 2002 |pmid=12061414 |doi= 10.1037/0882-7974.17.2.299 }}&amp;lt;/ref&amp;gt; Several explanations have been offered for this decline in psychology. One is the processing speed theory of cognitive aging by Tim Salthouse.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1037/0033-295X.103.3.403 | last1 = Salthouse | first1 = T. A. | year = 1996 | title = The processing speed theory of adult age differences in cognition | journal = Psychological Review | volume = 103 | issue = 3| pages = 403–428 | pmid = 8759042 | citeseerx = 10.1.1.464.585 }}&amp;lt;/ref&amp;gt; Drawing on the finding of general slowing of cognitive processes as people grow older, Salthouse argues that slower processing leaves more time for working-memory contents to decay, thus reducing effective capacity. However, the decline of working-memory capacity cannot be entirely attributed to slowing because capacity declines more in old age than speed.&amp;lt;ref name=&amp;quot;Park, D. C. 2002&amp;quot; /&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1016/0010-0277(95)00689-3 | last1 = Mayr | first1 = U. | last2 = Kliegl | first2 = R. | last3 = Krampe | first3 = R. T. | year = 1996 | title = Sequential and coordinative processing dynamics in figural transformation across the life span | journal = Cognition | volume = 59 | issue = 1| pages = 61–90 | pmid = 8857471 }}&amp;lt;/ref&amp;gt; Another proposal is the inhibition hypothesis advanced by [[Lynn Hasher]] and Rose Zacks.&amp;lt;ref&amp;gt;Hasher, L., &amp;amp; Zacks, R.&amp;amp;nbsp;T. (1988). Working memory, comprehension, and aging: A review and new view. In G. H. Bower (Ed.), ''The psychology of learning and motivation'', ''Vol. 22'', (pp. 193–225). New York: Academic Press.&amp;lt;/ref&amp;gt; This theory assumes a general deficit in old age in the ability to inhibit irrelevant, or no-longer relevant, information. Therefore, working memory tends to be cluttered with irrelevant contents that reduce the effective capacity for relevant content. The assumption of an inhibition deficit in old age has received much empirical support&amp;lt;ref&amp;gt;Hasher, L., Zacks, R.&amp;amp;nbsp;T., &amp;amp; May, C.&amp;amp;nbsp;P. (1999). Inhibitory control, circadian arousal, and age. In D.&amp;amp;nbsp;Gopher &amp;amp; A.&amp;amp;nbsp;Koriat (Eds.), ''Attention and Performance'' (pp. 653–675). Cambridge, MA: MIT Press.&amp;lt;/ref&amp;gt; but, so far, it is not clear whether the decline in inhibitory ability fully explains the decline of working-memory capacity. An explanation on the neural level of the decline of working memory and other cognitive functions in old age has been proposed by West.&amp;lt;ref&amp;gt;{{cite journal | doi = 10.1037/0033-2909.120.2.272 | last1 = West | first1 = R.&amp;amp;nbsp;L. | year = 1996 | title = An application of prefrontal cortex function theory to cognitive aging | journal = Psychological Bulletin | volume = 120 | issue = 2| pages = 272–292 | pmid = 8831298 }}&amp;lt;/ref&amp;gt; She argued that working memory depends to a large degree on the [[pre-frontal cortex]], which deteriorates more than other brain regions as we grow old.  Age related decline in working memory can be briefly reversed using low intensity transcranial stimulation, synchronizing rhythms in bilateral frontal and left temporal lobe areas.&amp;lt;ref&amp;gt;{{Cite news|url=https://www.theguardian.com/science/2019/apr/08/scientists-use-electrical-pulses-reverse-memory-decline-ageing|title=Scientists reverse memory decline using electrical pulses|last=Devlin, H.|date=2019-04-08|work=The Guardian|access-date=2019-04-09|language=en-GB|issn=0261-3077}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Working memory is among the cognitive functions most sensitive to decline in old age. Several explanations have been offered for this decline in psychology. One is the processing speed theory of cognitive aging by Tim Salthouse. Drawing on the finding of general slowing of cognitive processes as people grow older, Salthouse argues that slower processing leaves more time for working-memory contents to decay, thus reducing effective capacity. However, the decline of working-memory capacity cannot be entirely attributed to slowing because capacity declines more in old age than speed. Another proposal is the inhibition hypothesis advanced by Lynn Hasher and Rose Zacks. This theory assumes a general deficit in old age in the ability to inhibit irrelevant, or no-longer relevant, information. Therefore, working memory tends to be cluttered with irrelevant contents that reduce the effective capacity for relevant content. The assumption of an inhibition deficit in old age has received much empirical support but, so far, it is not clear whether the decline in inhibitory ability fully explains the decline of working-memory capacity. An explanation on the neural level of the decline of working memory and other cognitive functions in old age has been proposed by West. She argued that working memory depends to a large degree on the pre-frontal cortex, which deteriorates more than other brain regions as we grow old.  Age related decline in working memory can be briefly reversed using low intensity transcranial stimulation, synchronizing rhythms in bilateral frontal and left temporal lobe areas.&lt;br /&gt;
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在老年期一系列认知功能的衰退中，工作记忆最为敏感。心理学上对这种衰退有几种解释。一个是提姆 · 萨尔特豪斯 Tim Salthouse 的认知老化之加工速度理论。普遍而言，人的认知过程随着年龄增长而变慢，萨尔豪斯 Salthouse 基于这一发现，提出变慢的处理过程导致工作记忆内容有更多的时间衰减，从而降低其有效容量的主张。然而，工作记忆容量的下降不能完全归因于慢，因为老年期的容量下降比处理速度下降更快。另一个是 琳恩·哈什尔 Lynn Hasher 和 罗丝·扎克 Rose Zacks 提出的抑制假说。该理论假设老年人在抑制不相关或不再相关的信息方面普遍能力不足。因此，工作记忆往往被不相关内容所干扰，从而降低了相关内容的有效容量。老年抑制能力缺失的假设得到了大量实证研究的支持，但抑制能力的下降是否完全解释了工作记忆能力的下降，目前为止还尚不清楚。韦斯特  West对老年期工作记忆及其他认知功能的衰退提出了一种神经层面的解释，她认为工作记忆在很大程度上取决于前额叶皮层，而随着年龄的增长，前额叶皮层比其他大脑区域更容易衰退。年龄导致的工作记忆衰退可通过低强度经颅刺激的低强度、双侧额叶或左侧颞叶的同步节律得到短暂逆转。&lt;br /&gt;
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== 训练 Training ==&lt;br /&gt;
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{{further|Working memory training|Neurobiological effects of physical exercise#Cognitive control and memory}}&lt;br /&gt;
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Torkel Klingberg was the first to investigate whether intensive training of working memory has beneficial effects on other cognitive functions. His pioneering study suggested that working memory can be improved by training in ADHD patients through computerized programs.&amp;lt;ref&amp;gt;{{Cite journal|author=Klingberg, T.|author2=Forssberg, H.|author3=Westerberg, H. |title=Training of working memory in children with ADHD |journal=Journal of Clinical and Experimental Neuropsychology |volume=24 |issue=6 |pages=781–91 |date=September 2002 |pmid=12424652 |doi=10.1076/jcen.24.6.781.8395|citeseerx=10.1.1.326.5165}}&amp;lt;/ref&amp;gt; This study has found that a period of [[working memory training]] increases a range of cognitive abilities and increases IQ test scores. Another study of the same group&amp;lt;ref&amp;gt;{{Cite journal|date=January 2004|title=Increased prefrontal and parietal activity after training of working memory|journal=Nature Neuroscience|volume=7|issue=1|pages=75–9|doi=10.1038/nn1165|pmid=14699419|vauthors=Olesen PJ, Westerberg H, Klingberg T}}&amp;lt;/ref&amp;gt; has shown that, after training, measured brain activity related to working memory increased in the prefrontal cortex, an area that many researchers have associated with working memory functions. It has been shown in one study that working memory training increases the density of [[prefrontal cortex|prefrontal]] and [[parietal cortex|parietal]] [[dopamine receptor]]s (specifically, [[DRD1]]) in test persons.&amp;lt;ref&amp;gt;{{Cite journal|date=February 2009|title=Changes in cortical dopamine D1 receptor binding associated with cognitive training|journal=Science|volume=323|issue=5915|pages=800–2|bibcode=2009Sci...323..800M|doi=10.1126/science.1166102|pmid=19197069|author=McNab, F.|author2=Varrone, A.|author3=Farde, L.|display-authors=etal}}&amp;lt;/ref&amp;gt; However, subsequent work with the same training program has failed to replicate the beneficial effects of training on cognitive performance. A meta-analytic summary of research with Klingberg's training program up to 2011 shows that this training has at best a negligible effect on tests of intelligence and of attention&amp;lt;ref&amp;gt;{{Cite journal|last=Hulme, C. &amp;amp; Melby-Lervåg, M.|year=2012|title=Current evidence does not support the claims made for CogMed working memory training|journal=Journal of Applied Research in Memory and Cognition|volume=1|issue=3|pages=197–200|doi=10.1016/j.jarmac.2012.06.006}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Torkel Klingberg was the first to investigate whether intensive training of working memory has beneficial effects on other cognitive functions. His pioneering study suggested that working memory can be improved by training in ADHD patients through computerized programs. This study has found that a period of working memory training increases a range of cognitive abilities and increases IQ test scores. Another study of the same group has shown that, after training, measured brain activity related to working memory increased in the prefrontal cortex, an area that many researchers have associated with working memory functions. It has been shown in one study that working memory training increases the density of prefrontal and parietal dopamine receptors (specifically, DRD1) in test persons. However, subsequent work with the same training program has failed to replicate the beneficial effects of training on cognitive performance. A meta-analytic summary of research with Klingberg's training program up to 2011 shows that this training has at best a negligible effect on tests of intelligence and of attention&lt;br /&gt;
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托克尔 · 克林伯格 Torkel Klingberg 是第一个研究工作记忆强化训练是否对其他认知功能有益的人。他开创性的研究表明ADHD患者的工作记忆经电脑程序训练得到改善。该研究发现进行一定的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;工作记忆训练 Working Memory Training&amp;lt;/font&amp;gt;'''可提高一系列的认知能力及 IQ 测试成绩。对同一群体的另一项研究表明，训练之后大脑活动测度与脑前额叶外皮层的增加呈正相关，被许多研究人员认为该区域关乎工作记忆功能。还有一项研究表明，工作记忆训练能增加受试者前额叶和顶叶多巴胺受体(特别是 DRD1)的密度。然而，同样训练方案的后续工作未能再现这些有益影响。一份关于截至2011年的克林伯格 Klingberg 训练方案研究的元分析总结表明，对于智力和注意力测试这种训练充其量只有微不足道的效果。&lt;br /&gt;
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In another influential study, training with a working memory task (the dual [[n-back]] task) has improved performance on a fluid [[intelligence test]] in healthy young adults.&amp;lt;ref&amp;gt;{{Cite journal|author=Jaeggi, S.M.|author2=Buschkuehl, M.|author3= Jonides, J.|author4=Perrig, W. J.|title=Improving fluid intelligence with training on working memory |journal=Proceedings of the National Academy of Sciences of the United States of America |volume=105 |issue=19 |pages=6829–33 |date=May 2008 |pmid=18443283 |pmc=2383929 |doi=10.1073/pnas.0801268105|bibcode=2008PNAS..105.6829J }}&amp;lt;/ref&amp;gt; The improvement of fluid intelligence by training with the n-back task was replicated in 2010,&amp;lt;ref name=&amp;quot;JaeggiStuder-Luethi2010&amp;quot;&amp;gt;{{cite journal| last1=Jaeggi| first1=Susanne M.| last2=Studer-Luethi| first2=Barbara| last3=Buschkuehl|first3=Martin| last4=Su|first4=Yi-Fen|last5=Jonides|first5=John|last6=Perrig|first6=Walter J.|title=The relationship between n-back performance and matrix reasoning – implications for training and transfer|journal=Intelligence|volume=38|issue=6|year=2010|pages=625–635|issn=0160-2896|doi=10.1016/j.intell.2010.09.001}}&amp;lt;/ref&amp;gt; but two studies published in 2012 failed to reproduce the effect.&amp;lt;ref name=&amp;quot;RedickShipstead2013&amp;quot;&amp;gt;{{cite journal|last1=Redick|first1=Thomas S.| last2=Shipstead| first2=Zach|last3=Harrison|first3=Tyler L.|last4=Hicks|first4=Kenny L.|last5=Fried|first5=David E.|last6=Hambrick|first6=David Z.|last7=Kane|first7=Michael J.|last8=Engle|first8=Randall W.|title=No evidence of intelligence improvement after working memory training: A randomized, placebo-controlled study|journal=Journal of Experimental Psychology: General|volume=142| issue=2|year=2013| pages=359–379| pmid=22708717|issn=1939-2222| doi=10.1037/a0029082}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;ChooiThompson2012&amp;quot;&amp;gt;{{cite journal| last1=Chooi| first1=Weng-Tink| last2=Thompson| first2=Lee A.| title=Working memory training does not improve intelligence in healthy young adults| journal=Intelligence| volume=40|issue=6| year=2012| pages=531–542| issn=0160-2896| doi=10.1016/j.intell.2012.07.004}}&amp;lt;/ref&amp;gt; The combined evidence from about 30 experimental studies on the effectiveness of working-memory training has been evaluated by several meta-analyses.&amp;lt;ref&amp;gt;{{Cite journal|last1=Au|first1=Jacky|last2=Sheehan|first2=Ellen|last3=Tsai|first3=Nancy|last4=Duncan|first4=Greg J.|last5=Buschkuehl|first5=Martin|last6=Jaeggi|first6=Susanne M.|date=2014-08-08|title=Improving fluid intelligence with training on working memory: a meta-analysis|journal=Psychonomic Bulletin &amp;amp; Review|language=en|volume=22|issue=2|pages=366–377|doi=10.3758/s13423-014-0699-x|pmid=25102926|issn=1069-9384|url=http://www.escholarship.org/uc/item/1mj701dj|type=Submitted manuscript}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last1=Melby-Lervåg|first1=Monica|last2=Redick|first2=Thomas S.|last3=Hulme|first3=Charles|date=2016-07-29|title=Working Memory Training Does Not Improve Performance on Measures of Intelligence or Other Measures of &amp;quot;Far Transfer&amp;quot;|journal=Perspectives on Psychological Science|language=en|volume=11|issue=4|pages=512–534|doi=10.1177/1745691616635612|pmc=4968033|pmid=27474138}}&amp;lt;/ref&amp;gt; The authors of these meta-analyses disagree in their conclusions as to whether or not working-memory training improves intelligence. Yet, these meta-analyses agree in their estimate of the size of the effect of working-memory training: If there is such an effect, it is likely to be small.&lt;br /&gt;
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In another influential study, training with a working memory task (the dual n-back task) has improved performance on a fluid intelligence test in healthy young adults. The improvement of fluid intelligence by training with the n-back task was replicated in 2010, but two studies published in 2012 failed to reproduce the effect. The combined evidence from about 30 experimental studies on the effectiveness of working-memory training has been evaluated by several meta-analyses. The authors of these meta-analyses disagree in their conclusions as to whether or not working-memory training improves intelligence. Yet, these meta-analyses agree in their estimate of the size of the effect of working-memory training: If there is such an effect, it is likely to be small.&lt;br /&gt;
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在另一项有影响力的研究中，工作记忆任务('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;双 n-back 任务 The Dual n-back Task)&amp;lt;/font&amp;gt;'''训练提高了健康青年在流体智力测试中的表现。2010年再现了通过 n-back 任务训练提高流体智力的实验，但2012年发表的两项研究未能重现这一效果。一些元分析对约30个关于工作记忆训练有效性实验研究的综合证据进行了评估，对工作记忆训练是否能提高智力，分析者呈否定意见。然而，这些元分析对工作记忆训练效果的达成一致的是: 若确有提高效果，那可能也非常小。&lt;br /&gt;
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== 脑内 In the brain ==&lt;br /&gt;
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=== 信息维持的神经机制 Neural mechanisms of maintaining information ===&lt;br /&gt;
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The first insights into the neuronal and neurotransmitter basis of working memory came from animal research. The work of Jacobsen&amp;lt;ref&amp;gt;{{Cite journal|author=Jacobsen CF|title= Studies of cerebral function in primates |journal=Comparative Psychology Monographs |volume=13 |issue=3 |pages=1–68 |year=1938 |oclc=250695441 }}&amp;lt;/ref&amp;gt; and Fulton in the 1930s first showed that lesions to the PFC impaired spatial working memory performance in monkeys. The later work of [[Joaquin Fuster]]&amp;lt;ref&amp;gt;{{Cite journal|author=Fuster JM |title=Unit activity in prefrontal cortex during delayed-response performance: neuronal correlates of transient memory |journal=Journal of Neurophysiology |volume=36 |issue=1 |pages=61–78 |date=January 1973 |pmid=4196203 |doi=10.1152/jn.1973.36.1.61 }}&amp;lt;/ref&amp;gt; recorded the electrical activity of neurons in the PFC of monkeys while they were doing a delayed matching task. In that task, the monkey sees how the experimenter places a bit of food under one of two identical-looking cups. A shutter is then lowered for a variable delay period, screening off the cups from the monkey's view. After the delay, the shutter opens and the monkey is allowed to retrieve the food from under the cups. Successful retrieval in the first attempt – something the animal can achieve after some training on the task – requires holding the location of the food in memory over the delay period. Fuster found neurons in the PFC that fired mostly during the delay period, suggesting that they were involved in representing the food location while it was invisible. Later research has shown similar delay-active neurons also in the posterior [[parietal cortex]], the [[thalamus]], the [[Caudate nucleus|caudate]], and the [[globus pallidus]].&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Ashby FG, Ell SW, Valentin VV, Casale MB |title=FROST: a distributed neurocomputational model of working memory maintenance |journal=Journal of Cognitive Neuroscience |volume=17 |issue=11 |pages=1728–43 |date=November 2005 |pmid=16269109 |doi=10.1162/089892905774589271|citeseerx=10.1.1.456.7179 }}&amp;lt;/ref&amp;gt; The work of [[Patricia Goldman-Rakic|Goldman-Rakic]] and others showed that principal sulcal, dorsolateral PFC interconnects with all of these brain regions, and that neuronal microcircuits within PFC are able to maintain information in working memory through recurrent excitatory glutamate networks of pyramidal cells that continue to fire throughout the delay period.&amp;lt;ref&amp;gt;{{Cite journal|author=Goldman-Rakic PS|title= Cellular basis of working memory |journal=Neuron |volume=14 |issue= 3 |pages=447–485 |year=1995 | pmid = 7695894 | doi = 10.1016/0896-6273(95)90304-6 }}&amp;lt;/ref&amp;gt; These circuits are tuned by lateral inhibition from GABAergic interneurons.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Rao SG, Williams GV, Goldman-Rakic PS |title= Destruction and creation of spatial tuning by disinhibition: GABA(A) blockade of prefrontal cortical neurons engaged by working memory |journal=Journal of Neuroscience |volume=20 |pages=485–494 |year=2000|pmid=10627624 |pmc= 6774140 |issue=1|doi= 10.1523/JNEUROSCI.20-01-00485.2000 }}&amp;lt;/ref&amp;gt; The neuromodulatory arousal systems markedly alter PFC working memory function; for example, either too little or too much dopamine or norepinephrine impairs PFC network firing&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1016/j.tics.2010.05.003|author1=Arnsten AFT |author2=Paspalas CD |author3=Gamo NJ |author4=Y. Y |author5=Wang M |title= Dynamic Network Connectivity: A new form of neuroplasticity|journal=Trends in Cognitive Sciences|volume=14 |pages=365–375 |year=2010|issue=8|pmid=20554470|pmc=2914830}}&amp;lt;/ref&amp;gt; and working memory performance.&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1146/annurev.neuro.051508.135535|vauthors=Robbins TW, Arnsten AF |title= The neuropsychopharmacology of fronto-executive function: monoaminergic modulation |journal=Annu Rev Neurosci|volume=32 |pages=267–287 |year=2009|pmid=19555290|pmc=2863127}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The first insights into the neuronal and neurotransmitter basis of working memory came from animal research. The work of Jacobsen and Fulton in the 1930s first showed that lesions to the PFC impaired spatial working memory performance in monkeys. The later work of Joaquin Fuster recorded the electrical activity of neurons in the PFC of monkeys while they were doing a delayed matching task. In that task, the monkey sees how the experimenter places a bit of food under one of two identical-looking cups. A shutter is then lowered for a variable delay period, screening off the cups from the monkey's view. After the delay, the shutter opens and the monkey is allowed to retrieve the food from under the cups. Successful retrieval in the first attempt – something the animal can achieve after some training on the task – requires holding the location of the food in memory over the delay period. Fuster found neurons in the PFC that fired mostly during the delay period, suggesting that they were involved in representing the food location while it was invisible. Later research has shown similar delay-active neurons also in the posterior parietal cortex, the thalamus, the caudate, and the globus pallidus. The work of Goldman-Rakic and others showed that principal sulcal, dorsolateral PFC interconnects with all of these brain regions, and that neuronal microcircuits within PFC are able to maintain information in working memory through recurrent excitatory glutamate networks of pyramidal cells that continue to fire throughout the delay period. These circuits are tuned by lateral inhibition from GABAergic interneurons. The neuromodulatory arousal systems markedly alter PFC working memory function; for example, either too little or too much dopamine or norepinephrine impairs PFC network firing and working memory performance.&lt;br /&gt;
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关于工作记忆的神经元和神经递质基础的初次见解来自动物研究。雅各布森 Jacobsen 和富尔顿 Fulton在20世纪30年代的研究首次表明猴子的空间工作记忆能力因PFC的损害而减损。华金 · 福斯特 Joaquin Fuster 的后续工作记录了猴子在完成延迟匹配任务时 PFC 中神经元的电活动。在该任务中，猴子看到实验人员在两个同样杯子中的一个下面放了一点食物。然后一个挡板降下挡住猴子对杯子的视线一段时间（延迟变量）。之后挡板打开，允许猴子从杯子下面取出食物。在第一次尝试中它成功地提取食物——系动物经过一些训练后能够完成的任务——要求动物在延迟期维持食物位置的记忆。福斯特发现延迟期间PFC中的大部分神经元激活了，表明这些神经元参与了在看不到食物期间对其位置的记忆维持。后来的研究发现后顶叶皮层、丘脑、尾状核和苍白球也有类似的延迟活动神经元。高德马・拉齐克 Goldman-Rakic 等人的研究表明，脊髓背外侧的PFC与所有这些大脑区域相互连接，PFC内的神经元微回路能够通过反复兴奋的锥体细胞谷氨酸网络来维持工作记忆中的信息，这些神经元网络在整个延迟期间是持续激活的。这些回路是由GABA能中间神经元的侧抑制调节的。神经调节性唤起系统显著改变了PFC工作记忆功能; 例如，过多或过少的多巴胺或去甲肾上腺素会减损PFC神经网络放电和工作记忆表现。&lt;br /&gt;
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The research described above on persistent firing of certain neurons in the delay period of working memory tasks shows that the brain has a mechanism of keeping representations active without external input. Keeping representations active, however, is not enough if the task demands maintaining more than one chunk of information. In addition, the components and features of each chunk must be bound together to prevent them from being mixed up. For example, if a red triangle and a green square must be remembered at the same time, one must make sure that &amp;quot;red&amp;quot; is bound to &amp;quot;triangle&amp;quot; and &amp;quot;green&amp;quot; is bound to &amp;quot;square&amp;quot;. One way of establishing such bindings is by having the neurons that represent features of the same chunk fire in synchrony, and those that represent features belonging to different chunks fire out of sync.&amp;lt;ref&amp;gt;{{Cite journal|date=August 2001|title=A cortical mechanism for binding in visual working memory|journal=Journal of Cognitive Neuroscience|volume=13|issue=6|pages=766–85|doi=10.1162/08989290152541430|pmid=11564321|vauthors=Raffone A, Wolters G}}&amp;lt;/ref&amp;gt; In the example, neurons representing redness would fire in synchrony with neurons representing the triangular shape, but out of sync with those representing the square shape. So far, there is no direct evidence that working memory uses this binding mechanism, and other mechanisms have been proposed as well.&amp;lt;ref&amp;gt;{{Cite book|title=The unity of consciousness: Binding, integration, and dissociation|last2=Busby|first2=Richard S.|last3=Soto|first3=Rodolfo|publisher=Oxford University Press|year=2003|isbn=978-0-19-850857-1|location=Oxford|pages=168–90|chapter=Three forms of binding and their neural substrates: Alternatives to temporal synchrony|oclc=50747505|first1=Randall C.|last1=O'Reilly|editor1-first=Axel|editor1-last=Cleeremans|chapterurl=http://psycnet.apa.org/psycinfo/2003-88180-008}}&amp;lt;/ref&amp;gt; It has been speculated that synchronous firing of neurons involved in working memory oscillate with frequencies in the [[theta rhythm|theta]] band (4 to 8&amp;amp;nbsp;Hz). Indeed, the power of theta frequency in the EEG increases with working memory load,&amp;lt;ref&amp;gt;{{Cite book|title=Handbook of binding and memory|publisher=Oxford University Press|year=2006|location=Oxford|pages=115–144|chapter=Binding principles in the theta frequency range|last1=Klimesch|first1=W.|editor1-first=H. D.|editor1-last=Zimmer|editor2-first=A.|editor2-last=Mecklinger|editor3-first=U.|editor3-last=Lindenberger}}&amp;lt;/ref&amp;gt; and oscillations in the theta band measured over different parts of the skull become more coordinated when the person tries to remember the binding between two components of information.&amp;lt;ref&amp;gt;{{Cite journal|date=May 2007|title=Binding of verbal and spatial information in human working memory involves large-scale neural synchronization at theta frequency|journal=NeuroImage|volume=35|issue=4|pages=1654–62|doi=10.1016/j.neuroimage.2007.02.011|pmid=17379539|vauthors=Wu X, Chen X, Li Z, Han S, Zhang D}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The research described above on persistent firing of certain neurons in the delay period of working memory tasks shows that the brain has a mechanism of keeping representations active without external input. Keeping representations active, however, is not enough if the task demands maintaining more than one chunk of information. In addition, the components and features of each chunk must be bound together to prevent them from being mixed up. For example, if a red triangle and a green square must be remembered at the same time, one must make sure that &amp;quot;red&amp;quot; is bound to &amp;quot;triangle&amp;quot; and &amp;quot;green&amp;quot; is bound to &amp;quot;square&amp;quot;. One way of establishing such bindings is by having the neurons that represent features of the same chunk fire in synchrony, and those that represent features belonging to different chunks fire out of sync. In the example, neurons representing redness would fire in synchrony with neurons representing the triangular shape, but out of sync with those representing the square shape. So far, there is no direct evidence that working memory uses this binding mechanism, and other mechanisms have been proposed as well. It has been speculated that synchronous firing of neurons involved in working memory oscillate with frequencies in the theta band (4 to 8&amp;amp;nbsp;Hz). Indeed, the power of theta frequency in the EEG increases with working memory load, and oscillations in the theta band measured over different parts of the skull become more coordinated when the person tries to remember the binding between two components of information.&lt;br /&gt;
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上述关于工作记忆任务延迟期间某些神经元持续放电的研究表明，大脑有一种机制能在没有外部输入的情况下保持表征活跃。但不足以应对需要维护多个信息块的任务。此外每个组块的组件和特性必须绑定在一起，以防止和其它混淆。例如，如果必须同时记住一个红色三角形和一个绿色正方形，就必须确保“红色”与“三角形”绑定，而“绿色”与“正方形”绑定。建立这种结合的一种方法是让表现同一组块特征的神经元以同步激活，而那些表现不同组块特征的神经元则不同步激活。在这个例子中，代表红色的神经元会与代表三角形的神经元同步激活，但与代表正方形的神经元不同步。目前还没有直接的证据表明工作记忆使用这种结合机制，学界也提出了一些其他机制。工作记忆相关神经元的同步激活据推测是在θ波段(4ー8赫兹)振荡。脑电图θ频率的能量确实随工作记忆负荷的增加而增加，当被试试图记住信息的两个组成部分之间的联系时，在头骨不同部位测量到 θ 波段的振荡变得更加协调。&lt;br /&gt;
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=== 脑内定位 Localization in the brain ===&lt;br /&gt;
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Localization of brain functions in humans has become much easier with the advent of [[brain imaging]] methods ([[Positron emission tomography|PET]] and [[fMRI]]). This research has confirmed that areas in the PFC are involved in working memory functions. During the 1990s much debate has centered on the different functions of the ventrolateral (i.e.,&amp;amp;nbsp;lower areas) and the [[Dorsolateral prefrontal cortex|dorsolateral (higher) areas of the PFC]]. A human lesion study provides additional evidence for the role of the [[dorsolateral prefrontal cortex]] in working memory.&amp;lt;ref&amp;gt;{{cite journal|last2=Koenigs|first2=Michael|last3=Grafman|first3=Jordan|year=2013|title=Dorsolateral prefrontal contributions to human working memory|journal=Cortex|volume=49|issue=5|pages=1195–1205|doi=10.1016/j.cortex.2012.05.022|pmid=22789779|last1=Barbey|first1=Aron K.|pmc=3495093}}&amp;lt;/ref&amp;gt; One view was that the dorsolateral areas are responsible for spatial working memory and the ventrolateral areas for non-spatial working memory. Another view proposed a functional distinction, arguing that ventrolateral areas are mostly involved in pure maintenance of information, whereas dorsolateral areas are more involved in tasks requiring some processing of the memorized material. The debate is not entirely resolved but most of the evidence supports the functional distinction.&amp;lt;ref&amp;gt;{{Cite journal|author=Owen, A. M.|title=The functional organization of working memory processes within human lateral frontal cortex: the contribution of functional neuroimaging |journal=The European Journal of Neuroscience |volume=9 |issue=7 |pages=1329–39 |date=July 1997 |pmid=9240390 |doi=10.1111/j.1460-9568.1997.tb01487.x}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Localization of brain functions in humans has become much easier with the advent of brain imaging methods (PET and fMRI). This research has confirmed that areas in the PFC are involved in working memory functions. During the 1990s much debate has centered on the different functions of the ventrolateral (i.e.,&amp;amp;nbsp;lower areas) and the dorsolateral (higher) areas of the PFC. A human lesion study provides additional evidence for the role of the dorsolateral prefrontal cortex in working memory. One view was that the dorsolateral areas are responsible for spatial working memory and the ventrolateral areas for non-spatial working memory. Another view proposed a functional distinction, arguing that ventrolateral areas are mostly involved in pure maintenance of information, whereas dorsolateral areas are more involved in tasks requiring some processing of the memorized material. The debate is not entirely resolved but most of the evidence supports the functional distinction.&lt;br /&gt;
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脑成像方法（PET和fMRI）的出现让人脑功能定位更加容易。一项研究已经证实PFC一些区域参与工作记忆功能。在20世纪90年代，很多讨论集中在腹外侧区（即较低区域）和背外侧区（较高区域）的不同功能上。一项人体损伤研究为背外侧脑前额叶外皮在工作记忆中的作用提供了额外的证据。一种观点认为，背外侧区负责空间工作记忆，腹外侧区负责非空间工作记忆。另一种观点提出了功能区分，认为腹外侧区域主要涉及纯粹的信息维护，而背外侧区域则更多涉及需要对记忆材料进行某些处理的任务。分歧并没有完全解决，但大多数证据支持功能区分说。&lt;br /&gt;
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Brain imaging has revealed that working memory functions are not limited to the PFC. A review of numerous studies&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Smith EE, Jonides J |title=Storage and executive processes in the frontal lobes |journal=Science |volume=283 |issue=5408 |pages=1657–61 |date=March 1999 |pmid=10073923 |doi=10.1126/science.283.5408.1657|citeseerx=10.1.1.207.8961 }}&amp;lt;/ref&amp;gt; shows areas of activation during working memory tasks scattered over a large part of the cortex. There is a tendency for spatial tasks to recruit more right-hemisphere areas, and for verbal and object working memory to recruit more left-hemisphere areas. The activation during verbal working memory tasks can be broken down into one component reflecting maintenance, in the left posterior parietal cortex, and a component reflecting subvocal rehearsal, in the left frontal cortex (Broca's area, known to be involved in speech production).&amp;lt;ref&amp;gt;{{Cite journal|author=Smith, E. E.|author2=Jonides, J.|author3=Marshuetz, C.|author4=Koeppe, R. A.|title=Components of verbal working memory: evidence from neuroimaging |journal=Proceedings of the National Academy of Sciences of the United States of America |volume=95 |issue=3 |pages=876–82 |date=February 1998 |pmid=9448254 |pmc=33811 |doi=10.1073/pnas.95.3.876|bibcode=1998PNAS...95..876S }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Brain imaging has revealed that working memory functions are not limited to the PFC. A review of numerous studies shows areas of activation during working memory tasks scattered over a large part of the cortex. There is a tendency for spatial tasks to recruit more right-hemisphere areas, and for verbal and object working memory to recruit more left-hemisphere areas. The activation during verbal working memory tasks can be broken down into one component reflecting maintenance, in the left posterior parietal cortex, and a component reflecting subvocal rehearsal, in the left frontal cortex (Broca's area, known to be involved in speech production).&lt;br /&gt;
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脑成像显示工作记忆功能并不局限于PFC。大量研究的综述表明，工作记忆任务中的激活区域分布在大脑皮层的很大片。空间任务倾向于使用更多的右半球区域，言语和物体工作记忆倾向于使用更多的左半球区域。非文字工作记忆任务中的激活可以分解为在左后顶叶皮层的反映维持的组件，以及在左额叶皮层的反映次声练习的组件（已知与语言产生有关的Broca区域）。&lt;br /&gt;
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There is an emerging consensus that most working memory tasks recruit a network of PFC and parietal areas. A study has shown that during a working memory task the connectivity between these areas increases.&amp;lt;ref&amp;gt;{{Cite journal|author=Honey, G. D.|author2=Fu, C. H.|author3=Kim, J.|title=Effects of verbal working memory load on corticocortical connectivity modeled by path analysis of functional magnetic resonance imaging data |journal=NeuroImage |volume=17 |issue=2 |pages=573–82 |date=October 2002 |pmid=12377135 |doi=10.1016/S1053-8119(02)91193-6|display-authors=etal}}&amp;lt;/ref&amp;gt; Another study has demonstrated that these areas are necessary for working memory, and not simply activated accidentally during working memory tasks, by temporarily blocking them through [[transcranial magnetic stimulation]] (TMS), thereby producing an impairment in task performance.&amp;lt;ref&amp;gt;{{Cite journal|author=Mottaghy, F. M.|title=Interfering with working memory in humans |journal=Neuroscience |volume=139 |issue=1 |pages=85–90 |date=April 2006 |pmid=16337091 |doi=10.1016/j.neuroscience.2005.05.037}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is an emerging consensus that most working memory tasks recruit a network of PFC and parietal areas. A study has shown that during a working memory task the connectivity between these areas increases. Another study has demonstrated that these areas are necessary for working memory, and not simply activated accidentally during working memory tasks, by temporarily blocking them through transcranial magnetic stimulation (TMS), thereby producing an impairment in task performance.&lt;br /&gt;
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这一观点正在形成共识：大多数工作记忆任务使用PFC顶叶区域组成的网络。一项研究表明工作记忆任务中这些区域之间的连通性增加了。另一项研究表明这些区域是工作记忆的必要组成部分，而非单纯在工作任务中因经颅磁刺激（TMS）被意外激活而导致人物表现受损。&lt;br /&gt;
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A current debate concerns the function of these brain areas. The PFC has been found to be active in a variety of tasks that require executive functions.&amp;lt;ref name=&amp;quot;Kane MJ, Engle RW 2002 637–71&amp;quot; /&amp;gt; This has led some researchers to argue that the role of PFC in working memory is in controlling attention, selecting strategies, and manipulating information in working memory, but not in maintenance of information. The maintenance function is attributed to more posterior areas of the brain, including the parietal cortex.&amp;lt;ref&amp;gt;{{Cite journal|author=Curtis, C. E.|author2=D'Esposito, M.|title=Persistent activity in the prefrontal cortex during working memory |journal=Trends in Cognitive Sciences |volume=7 |issue=9 |pages=415–423 |date=September 2003 |pmid=12963473 |doi=10.1016/S1364-6613(03)00197-9|citeseerx=10.1.1.319.8928}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Postle&amp;quot;&amp;gt;{{Cite journal|author=Postle BR |title=Working memory as an emergent property of the mind and brain |journal=Neuroscience |volume=139 |issue=1 |pages=23–38 |date=April 2006 |pmid=16324795 |pmc=1428794 |doi=10.1016/j.neuroscience.2005.06.005}}&amp;lt;/ref&amp;gt; Other authors interpret the activity in parietal cortex as reflecting [[executive functions]], because the same area is also activated in other tasks requiring attention but not memory.&amp;lt;ref&amp;gt;{{Cite journal|author=Collette, F.|author2= Hogge, M.|author3= Salmon, E.|author4=Van der Linden, M.|title=Exploration of the neural substrates of executive functioning by functional neuroimaging |journal=Neuroscience |volume=139 |issue=1 |pages=209–21 |date=April 2006 |pmid=16324796 |doi=10.1016/j.neuroscience.2005.05.035|hdl= 2268/5937|hdl-access=free }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A current debate concerns the function of these brain areas. The PFC has been found to be active in a variety of tasks that require executive functions. Other authors interpret the activity in parietal cortex as reflecting executive functions, because the same area is also activated in other tasks requiring attention but not memory.&lt;br /&gt;
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目前的辩论是关于不同大脑区域的功能。研究发现在许多需要执行功能的任务PFC都呈活性。其他研究者把顶叶皮层的活动理解为对执行功能的反映，因为在其他需要注意力而不是记忆的任务中该区域也呈活性。&lt;br /&gt;
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A 2003 meta-analysis of 60 neuroimaging studies found left [[Frontal lobe|frontal]] cortex was involved in low-task demand verbal working memory and right [[Frontal lobe|frontal]] cortex for spatial working memory. Brodmann's areas (BAs) [[Brodmann area 6|6]], [[Brodmann area 8|8]], and [[Brodmann area 9|9]], in the [[Superior frontal gyrus|superior frontal cortex]] was involved when working memory must be continuously updated and when memory for temporal order had to be maintained. Right Brodmann [[Brodmann area 10|10]] and [[Brodmann area 47|47]] in the ventral frontal cortex were involved more frequently with demand for manipulation such as dual-task requirements or mental operations, and Brodmann 7 in the [[posterior parietal cortex]] was also involved in all types of executive function.&amp;lt;ref&amp;gt;{{Cite journal|title = Neuroimaging studies of working memory: a meta-analysis|journal = Cognitive, Affective &amp;amp; Behavioral Neuroscience|date = 2003-12-01|issn = 1530-7026|pmid = 15040547|pages = 255–274|volume = 3|issue = 4|first1 = Tor D.|last1 = Wager|first2 = Edward E.|last2 = Smith|doi=10.3758/cabn.3.4.255|doi-access = free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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A 2003 meta-analysis of 60 neuroimaging studies found left frontal cortex was involved in low-task demand verbal working memory and right frontal cortex for spatial working memory. Brodmann's areas (BAs) 6, 8, and 9, in the superior frontal cortex was involved when working memory must be continuously updated and when memory for temporal order had to be maintained. Right Brodmann 10 and 47 in the ventral frontal cortex were involved more frequently with demand for manipulation such as dual-task requirements or mental operations, and Brodmann 7 in the posterior parietal cortex was also involved in all types of executive function.&lt;br /&gt;
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2003年对60项神经成像研究的综合分析发现左额叶皮层参与低任务需求的语言工作记忆，而右额叶皮层参与空间工作记忆。Brodmann 大脑上额叶皮层区域(BAs)6、8、9号区域参与需要不断更新的工作以及和需要维持时间顺序的工作记忆。腹侧额叶皮层的右布罗德曼 Brodmann 10和47号区域较高频参与需要双重任务或心理操作的工作记忆，其中后顶叶皮层的布罗德曼Brodmann 7号区域还参与到所有类型的执行功能。&lt;br /&gt;
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Working memory has been suggested to involve two processes with different neuroanatomical locations in the frontal and parietal lobes.&amp;lt;ref name=&amp;quot;Bledowski&amp;quot;&amp;gt;{{Cite journal|author=Bledowski, C.|author2=Rahm, B.|author3=Rowe, J. B. |title=What 'works' in working memory? Separate systems for selection and updating of critical information |journal=The Journal of Neuroscience |volume=29 |issue=43 |pages=13735–41 |date=October 2009 |pmid=19864586 |doi=10.1523/JNEUROSCI.2547-09.2009 |pmc=2785708}}&amp;lt;/ref&amp;gt; First, a selection operation that retrieves the most relevant item, and second an updating operation that changes the focus of attention made upon it. Updating the attentional focus has been found to involve the transient activation in the caudal [[superior frontal sulcus]] and [[posterior parietal cortex]], while increasing demands on selection selectively changes activation in the rostral superior frontal sulcus and posterior cingulate/[[precuneus]].&amp;lt;ref name=&amp;quot;Bledowski&amp;quot; /&amp;gt;&lt;br /&gt;
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Working memory has been suggested to involve two processes with different neuroanatomical locations in the frontal and parietal lobes. First, a selection operation that retrieves the most relevant item, and second an updating operation that changes the focus of attention made upon it. Updating the attentional focus has been found to involve the transient activation in the caudal superior frontal sulcus and posterior parietal cortex, while increasing demands on selection selectively changes activation in the rostral superior frontal sulcus and posterior cingulate/precuneus.&lt;br /&gt;
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通说认为工作记忆参与位于额叶和顶叶两个神经解剖学上位置不同的两种过程。首先是检索最相关项的选择操作，其次是更改关注焦点的更新操作。更新操作包括额上沟尾部和后顶叶皮质的短暂激活，选择操作随选择的需求增加而选择性地发生额上沟和后扣带回/楔前叶激活。&lt;br /&gt;
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Articulating the differential function of brain regions involved in working memory is dependent on tasks able to distinguish these functions.&amp;lt;ref name=&amp;quot;Coltheart-2006&amp;quot;&amp;gt;{{Cite journal  | last1 = Coltheart | first1 = M. | title = What has functional neuroimaging told us about the mind (so far)? | journal = Cortex | volume = 42 | issue = 3 | pages = 323–31 |date=Apr 2006 | doi = 10.1016/S0010-9452(08)70358-7 | pmid = 16771037 }}&amp;lt;/ref&amp;gt; Most brain imaging studies of working memory have used recognition tasks such as delayed recognition of one or several stimuli, or the n-back task, in which each new stimulus in a long series must be compared to the one presented n steps back in the series. The advantage of recognition tasks is that they require minimal movement (just pressing one of two keys), making fixation of the head in the scanner easier. Experimental research and research on individual differences in working memory, however, has used largely recall tasks (e.g.,&amp;amp;nbsp;the [[reading span task]], see below). It is not clear to what degree recognition and recall tasks reflect the same processes and the same capacity limitations.&lt;br /&gt;
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Articulating the differential function of brain regions involved in working memory is dependent on tasks able to distinguish these functions. Most brain imaging studies of working memory have used recognition tasks such as delayed recognition of one or several stimuli, or the n-back task, in which each new stimulus in a long series must be compared to the one presented n steps back in the series. The advantage of recognition tasks is that they require minimal movement (just pressing one of two keys), making fixation of the head in the scanner easier. Experimental research and research on individual differences in working memory, however, has used largely recall tasks (e.g.,&amp;amp;nbsp;the reading span task, see below). It is not clear to what degree recognition and recall tasks reflect the same processes and the same capacity limitations.&lt;br /&gt;
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阐明与工作记忆相关大脑区域的不同功能，取决于能够区分这些功能的任务。大多数关于工作记忆的脑成像研究都使用了识别任务，比如延迟识别一个或多个刺激，或 n-back 任务，即一个长系列中的每个新刺激都需与该系列中的一个n步后的刺激进行比较。识别任务的优势在于只需要最低限度的运动（只需二选一按键），使头部扫描的定位更加容易。然而，关于工作记忆个体差异的实验研究大量使用了回忆任务（例如，阅读广度任务，见下文）。至于识别和回忆任务能在多大程度上反映相同过程和相同能力的极限，目前尚不清楚。&lt;br /&gt;
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Brain imaging studies have been conducted with the reading span task or related tasks. Increased activation during these tasks was found in the PFC and, in several studies, also in the [[anterior cingulate cortex]] (ACC). People performing better on the task showed larger increase of activation in these areas, and their activation was correlated more over time, suggesting that their neural activity in these two areas was better coordinated, possibly due to stronger connectivity.&amp;lt;ref&amp;gt;{{Cite journal|author=Kondo, H.|author2=Osaka, N.|author3=Osaka, M.|title=Cooperation of the anterior cingulate cortex and dorsolateral prefrontal cortex for attention shifting |journal=NeuroImage |volume=23 |issue=2 |pages=670–9 |date=October 2004 |pmid=15488417 |doi=10.1016/j.neuroimage.2004.06.014}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Osaka N, Osaka M, Kondo H, Morishita M, Fukuyama H, Shibasaki H |title=The neural basis of executive function in working memory: an fMRI study based on individual differences |journal=NeuroImage |volume=21 |issue=2 |pages=623–31 |date=February 2004 |pmid=14980565 |doi=10.1016/j.neuroimage.2003.09.069}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Brain imaging studies have been conducted with the reading span task or related tasks. Increased activation during these tasks was found in the PFC and, in several studies, also in the anterior cingulate cortex (ACC). People performing better on the task showed larger increase of activation in these areas, and their activation was correlated more over time, suggesting that their neural activity in these two areas was better coordinated, possibly due to stronger connectivity.&lt;br /&gt;
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脑成像研究已用于进行阅读广度任务或相关任务并发现在这些任务中PFC的激活增加，在几项研究中还发现前扣带皮层(ACC)的激活增强。任务表现更好的人的这些区域也发生大幅的激活增加，且随时间推移其相关性更强，表明他们这两个区域的神经活动协调度更高，可能的原因是区域间更强的连接性。&lt;br /&gt;
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=== 神经模型 Neural models ===&lt;br /&gt;
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One approach to modeling the neurophysiology and the functioning of working memory is [[PBWM|prefrontal cortex basal ganglia working memory (PBWM)]]. In this model, the prefrontal cortex works hand-in-hand with the basal ganglia to accomplish the tasks of working memory. Many studies have shown this to be the case.&amp;lt;ref&amp;gt;{{Cite journal|last1=Baier|first1=B.|last2=Karnath|first2=H.-O.|last3=Dieterich|first3=M.|last4=Birklein|first4=F.|last5=Heinze|first5=C.|last6=Muller|first6=N. G.|date=2010-07-21|title=Keeping Memory Clear and Stable--The Contribution of Human Basal Ganglia and Prefrontal Cortex to Working Memory|journal=Journal of Neuroscience|volume=30|issue=29|pages=9788–9792|doi=10.1523/jneurosci.1513-10.2010|pmid=20660261|pmc=6632833|issn=0270-6474|doi-access=free}}&amp;lt;/ref&amp;gt; One used ablation techniques in patients who had suffered from seizures and had damage to the prefrontal cortex and basal ganglia.&amp;lt;ref name=&amp;quot;:2&amp;quot; /&amp;gt; Researchers found that such damage resulted in decreased capacity to carry out the executive function of working memory.&amp;lt;ref name=&amp;quot;:2&amp;quot;&amp;gt;{{Cite journal|last1=Voytek|first1=B.|last2=Knight|first2=R. T.|date=2010-10-04|title=Prefrontal cortex and basal ganglia contributions to visual working memory|journal=Proceedings of the National Academy of Sciences|volume=107|issue=42|pages=18167–18172|doi=10.1073/pnas.1007277107|pmid=20921401|issn=0027-8424|doi-access=free}}&amp;lt;/ref&amp;gt; Additional research conducted on patients with brain alterations due to methamphetamine use found that training working memory increases volume in the basal ganglia.&amp;lt;ref&amp;gt;{{Cite journal|last1=Brooks|first1=S. J.|last2=Burch|first2=K. H.|last3=Maiorana|first3=S. A.|last4=Cocolas|first4=E.|last5=Schioth|first5=H. B.|last6=Nilsson|first6=E. K.|last7=Kamaloodien|first7=K.|last8=Stein|first8=D. J.|date=2016-02-01|title=Psychological intervention with working memory training increases basal ganglia volume: A VBM study of inpatient treatment for methamphetamine use|url=http://www.sciencedirect.com/science/article/pii/S2213158216301541|journal=NeuroImage: Clinical|language=en|volume=12|pages=478–491|doi=10.1016/j.nicl.2016.08.019|pmid=27625988|issn=2213-1582|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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One approach to modeling the neurophysiology and the functioning of working memory is prefrontal cortex basal ganglia working memory (PBWM). In this model, the prefrontal cortex works hand-in-hand with the basal ganglia to accomplish the tasks of working memory. Many studies have shown this to be the case. One used ablation techniques in patients who had suffered from seizures and had damage to the prefrontal cortex and basal ganglia. Additional research conducted on patients with brain alterations due to methamphetamine use found that training working memory increases volume in the basal ganglia.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;前额叶皮质基底节工作记忆记忆模型 Prefrontal Cortex Basal Ganglia Working Memory (PBWM)&amp;lt;/font&amp;gt;'''是神经生理学和工作记忆功能模型的一种。&lt;br /&gt;
在该模型中脑前额叶外皮与基底神经节协力共同完成工作记忆的任务，已有许多研究证明相符，例如使用消融技术治疗脑前额叶外皮和基底神经节受损、癫痫发作患者的案例。&lt;br /&gt;
此外还有对因服用甲基苯丙胺而导致大脑改变的病人进行工作记忆训练而增加了基底神经节的容量的案例。&lt;br /&gt;
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=== 神经生理学的压力效果 Effects of stress on neurophysiology ===&lt;br /&gt;
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Working memory is impaired by acute and chronic psychological stress. This phenomenon was first discovered in animal studies by Arnsten and colleagues,&amp;lt;ref&amp;gt;{{Cite journal|doi=10.1126/science.280.5370.1711|author=Arnsten, A. F.|title=The biology of being frazzled |journal=Science |volume=280 |issue=5370 |pages=1711–2 |date=June 1998 |pmid=9660710}}&amp;lt;/ref&amp;gt; who have shown that stress-induced [[catecholamine]] release in PFC rapidly decreases PFC neuronal firing and impairs working memory performance through feedforward, intracellular signaling pathways.&amp;lt;ref&amp;gt;{{Cite journal|author=Arnsten, AF |title=Stress signalling pathways that impair prefrontal cortex structure and function |journal=Nature Reviews Neuroscience |volume=10 |issue=6 |pages=410–22 |date=June 2009 |pmid=19455173|pmc=2907136 |doi=10.1038/nrn2648}}&amp;lt;/ref&amp;gt; Exposure to chronic stress leads to more profound working memory deficits and additional architectural changes in PFC, including dendritic atrophy and spine loss,&amp;lt;ref&amp;gt;{{Cite journal|author=Radley, J. J.|author2= Rocher, A. B.|author3=Miller, M.|author4= Janssen, W. G.|author5=Liston, C.|author6=Hof, P. R.|author7=McEwen, B. S.|author8=Morrison, J. H.|title=Repeated stress induces dendritic spine loss in the rat medial prefrontal cortex |journal=Cereb Cortex |volume=16 |issue=3 |pages=313–20 |date=Mar 2006 |pmid=15901656 |doi=10.1093/cercor/bhi104|doi-access=free}}&amp;lt;/ref&amp;gt; which can be prevented by inhibition of protein kinase C signaling.&amp;lt;ref&amp;gt;{{Cite journal|author=Hains, A. B.|author2=Vu, M. A.|author3=Maciejewski, P. K.|author4= van Dyck, C. H. |authorlink4=Christopher H. van Dyck |author5=Gottron, M.|author6= Arnsten, A. F. |title=Inhibition of protein kinase C signaling protects prefrontal cortex dendritic spines and cognition from the effects of chronic stress |journal=Proceedings of the National Academy of Sciences|volume=106 |issue=42 |pages=17957–62 |date=Oct 2009 |pmid=19805148|pmc=2742406 |doi=10.1073/pnas.0908563106|bibcode=2009PNAS..10617957H }}&amp;lt;/ref&amp;gt; [[fMRI]] research has extended this research to humans, and confirms that reduced working memory caused by acute stress links to reduced activation of the PFC, and stress increased levels of [[catecholamine]]s.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Qin S, Hermans EJ, van Marle HJ, Luo J, Fernández G |title=Acute psychological stress reduces working memory-related activity in the dorsolateral prefrontal cortex |journal=Biological Psychiatry |volume=66 |issue=1 |pages=25–32 |date=July 2009 |pmid=19403118 |doi=10.1016/j.biopsych.2009.03.006}}&amp;lt;/ref&amp;gt; Imaging studies of medical students undergoing stressful exams have also shown weakened PFC functional connectivity, consistent with the animal studies.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Liston C, McEwen BS, Casey BJ |title=Psychosocial stress reversibly disrupts prefrontal processing and attentional control |journal=Proceedings of the National Academy of Sciences|volume=106 |issue=3 |pages=912–7 |date=Jan 2009 |pmid=19139412|pmc=2621252 |doi=10.1073/pnas.0807041106|bibcode=2009PNAS..106..912L }}&amp;lt;/ref&amp;gt; The marked effects of stress on PFC structure and function may help to explain how stress can cause or exacerbate mental illness.&lt;br /&gt;
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Working memory is impaired by acute and chronic psychological stress. This phenomenon was first discovered in animal studies by Arnsten and colleagues, who have shown that stress-induced catecholamine release in PFC rapidly decreases PFC neuronal firing and impairs working memory performance through feedforward, intracellular signaling pathways. Exposure to chronic stress leads to more profound working memory deficits and additional architectural changes in PFC, including dendritic atrophy and spine loss, which can be prevented by inhibition of protein kinase C signaling. fMRI research has extended this research to humans, and confirms that reduced working memory caused by acute stress links to reduced activation of the PFC, and stress increased levels of catecholamines. Imaging studies of medical students undergoing stressful exams have also shown weakened PFC functional connectivity, consistent with the animal studies. The marked effects of stress on PFC structure and function may help to explain how stress can cause or exacerbate mental illness.&lt;br /&gt;
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急性和慢性心理压力会损害工作记忆。这种现象最早是由 安斯登 Arnsten 和他的同事们在动物实验中发现的，他们发现应激诱导PFC中儿茶酚胺的释放可迅速降低PFC神经元的放电，并通过前馈和细胞内信号通路损害工作记忆。长期暴露在压力下会导致更深层次工作记忆的缺陷和PFC额外的结构变化，包括树突萎缩和脊柱丧失，这些都可以通过抑制蛋白激酶C信号来预防。功能磁共振成像的研究已经将这项研究扩展到人类，并证实了急性压力导致工作记忆减少会降低PFC的激活，压力会导致儿茶酚胺水平提高。医学院学生在经历紧张的考试后的成像研究也表明 PFC功能连接性减弱，与动物实验结果一致。压力对PFC结构和功能的显著影响可能有助于解释压力如何导致或加重精神疾病。&lt;br /&gt;
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The more stress in one's life, the lower the efficiency of working memory in performing simple cognitive tasks. Students who performed exercises that reduced the intrusion of negative thoughts showed an increase in their working memory capacity. Mood states (positive or negative) can have an influence on the neurotransmitter dopamine, which in turn can affect problem solving.&amp;lt;ref&amp;gt;{{cite book|last=Revlin|first=Russell|title=Human Cognition : Theory and Practice.|year=2007|publisher=Worth Pub|location=New York, NY|isbn=978-0-7167-5667-5|page=147|edition=International}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The more stress in one's life, the lower the efficiency of working memory in performing simple cognitive tasks. Students who performed exercises that reduced the intrusion of negative thoughts showed an increase in their working memory capacity. Mood states (positive or negative) can have an influence on the neurotransmitter dopamine, which in turn can affect problem solving.&lt;br /&gt;
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生活中压力越大，工作记忆在完成简单认知任务时的效率就越低。对减少负面思想入侵进行练习的学生其工作记忆容量有所增加。情绪状态(积极或消极)会影响神经递质多巴胺，从而影响问题解决。&lt;br /&gt;
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=== 神经生理学的酒精效果 Effects of alcohol on neurophysiology ===&lt;br /&gt;
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Alcohol abuse can result in brain damage which impairs working memory.&amp;lt;ref name=&amp;quot;pmid21466500&amp;quot;&amp;gt;{{cite journal |vauthors=van Holst RJ, Schilt T |title=Drug-related decrease in neuropsychological functions of abstinent drug users |journal=Curr Drug Abuse Rev |volume=4 |issue=1 |pages=42–56 | date=March 2011 |pmid=21466500 |doi= 10.2174/1874473711104010042}}&amp;lt;/ref&amp;gt; Alcohol has an effect on the [[Blood-oxygen-level dependent|blood-oxygen-level-dependent]] (BOLD) response. The BOLD response correlates increased blood oxygenation with brain activity, which makes this response a useful tool for measuring neuronal activity.&amp;lt;ref&amp;gt;{{cite journal | author = Jacobus J.|author2=Tapert S. F. | year = 2013 | title = Neurotoxic Effects of Alcohol in Adolescence | journal = [[Annual Review of Clinical Psychology]] | volume = 9 | issue = 1| pages = 703–721 | doi = 10.1146/annurev-clinpsy-050212-185610 | pmc = 3873326 | pmid=23245341}}&amp;lt;/ref&amp;gt; The BOLD response affects regions of the brain such as the basal ganglia and thalamus when performing a working memory task. Adolescents who start drinking at a young age show a decreased BOLD response in these brain regions.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Weiland BJ, Nigg JT, Welsh RC, Yau WY, Zubieta JK | displayauthors=etal | year = 2012 | title = Resiliency in adolescents at high risk for substance abuse: flexible adaptation via subthalamic nucleus and linkage to drinking and drug use in early adulthood | journal = Alcohol. Clin. Exp. Res. | volume = 36 | issue = 8| pages = 1355–64 | doi=10.1111/j.1530-0277.2012.01741.x| pmc = 3412943 | pmid=22587751}}&amp;lt;/ref&amp;gt; Alcohol dependent young women in particular exhibit less of a BOLD response in parietal and frontal cortices when performing a spatial working memory task.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Tapert SF, Brown GG, Kindermann SS, Cheung EH, Frank LR, Brown SA | year = 2001 | title = fMRI measurement of brain dysfunction in alcohol-dependent young women | journal = Alcohol. Clin. Exp. Res. | volume = 25 | issue = 2| pages = 236–45 | doi=10.1111/j.1530-0277.2001.tb02204.x | pmid=11236838}}&amp;lt;/ref&amp;gt; Binge drinking, specifically, can also affect one's performance on working memory tasks, particularly visual working memory.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Ferrett HL, Carey PD, Thomas KG, Tapert SF, Fein G | year = 2010 | title = Neuropsychological performance of South African treatment-naive adolescents with alcohol dependence | journal = Drug Alcohol Depend | volume = 110 | issue = 1–2| pages = 8–14 | doi=10.1016/j.drugalcdep.2010.01.019| pmc = 4456395 | pmid=20227839}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | vauthors = Crego A, Holguin SR, Parada M, Mota N, Corral M, Cadaveira F | year = 2009 | title = Binge drinking affects attentional and visual working memory processing in young university students | journal = Alcohol. Clin. Exp. Res. | volume = 33 | issue = 11| pages = 1870–79 | doi=10.1111/j.1530-0277.2009.01025.x| pmid = 19673739 | hdl = 10347/16832 | hdl-access = free }}&amp;lt;/ref&amp;gt; Additionally, there seems to be a gender difference in regards to how alcohol affects working memory. While women perform better on verbal working memory tasks after consuming alcohol compared to men, they appear to perform worse on spatial working memory tasks as indicated by less brain activity.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Greenstein JE, Kassel JD, Wardle MC, Veilleux JC, Evatt DP, Heinz AJ, Yates MC | year = 2010 | title = The separate and combined effects of nicotine and alcohol on working memory capacity in nonabstinent smokers | journal = [[Experimental and Clinical Psychopharmacology]] | volume = 18 | issue = 2| pages = 120–128 | doi = 10.1037/a0018782 | pmid = 20384423 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | vauthors = Squeglia LM, Schweinsburg AD, Pulido C, Tapert SF | year = 2011 | title = Adolescent binge drinking linked to abnormal spatial working memory brain activation: Differential gender effects | journal = Alcoholism: Clinical and Experimental Research | volume = 35 | issue = 10| pages = 1831–1841 | doi = 10.1111/j.1530-0277.2011.01527.x | pmc = 3183294 | pmid=21762178}}&amp;lt;/ref&amp;gt; Finally, age seems to be an additional factor. Older adults are more susceptible than others to the effects of alcohol on working memory.&amp;lt;ref&amp;gt;{{cite journal | vauthors = Boissoneault J, Sklar A, Prather R, Nixon SJ | year = 2014 | title = Acute effects of moderate alcohol on psychomotor, set shifting, and working memory function in older and younger social drinkers | journal = Journal of Studies on Alcohol and Drugs | volume = 75 | issue = 5| pages = 870–879 | doi = 10.15288/jsad.2014.75.870 | pmc = 4161706 | pmid=25208205}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Alcohol abuse can result in brain damage which impairs working memory. Alcohol has an effect on the blood-oxygen-level-dependent (BOLD) response. The BOLD response correlates increased blood oxygenation with brain activity, which makes this response a useful tool for measuring neuronal activity. The BOLD response affects regions of the brain such as the basal ganglia and thalamus when performing a working memory task. Adolescents who start drinking at a young age show a decreased BOLD response in these brain regions. Alcohol dependent young women in particular exhibit less of a BOLD response in parietal and frontal cortices when performing a spatial working memory task. Binge drinking, specifically, can also affect one's performance on working memory tasks, particularly visual working memory. Additionally, there seems to be a gender difference in regards to how alcohol affects working memory. While women perform better on verbal working memory tasks after consuming alcohol compared to men, they appear to perform worse on spatial working memory tasks as indicated by less brain activity. Finally, age seems to be an additional factor. Older adults are more susceptible than others to the effects of alcohol on working memory.&lt;br /&gt;
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酗酒会导致大脑损伤，从而损害工作记忆。酒精影响'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;血氧水平依赖性 Blood-Oxygen-Level-Dependent（BOLD）&amp;lt;/font&amp;gt;'''反应。BOLD反应把血氧含量增加与大脑活动联系起来，故这种反应是测量神经元活动的有用指标。在执行工作记忆任务时，BOLD反应影响大脑的基底神经节和丘脑等区域。从小就喝酒的青少年其大脑区域的BOLD反应降低。特别是酒精依赖的年轻女性在执行空间工作记忆任务时，顶叶和额叶皮层的BOLD反应较少。酗酒可以且特别影响工作记忆任务的表现，特别是视觉工作记忆。此外，在酒精影响工作记忆方面似乎也存在性别差异。与男性相比，女性在饮酒后的非文字工作记忆任务中表现得更好，但在空间工作记忆任务中的表现似乎更差（表现为更少的大脑活动）。最后，年龄似乎是一个额外的因素。老年人比其他人更容易受到酒精对工作记忆的影响。&lt;br /&gt;
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== 基因 Genetics ==&lt;br /&gt;
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=== 行为基因 Behavioral genetics ===&lt;br /&gt;
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Individual differences in working-memory capacity are to some extent [[heritable]]; that is, about half of the variation between individuals is related to differences in their genes.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last1=Engelhardt|first1=Laura E.|last2=Mann|first2=Frank D.|last3=Briley|first3=Daniel A.|last4=Church|first4=Jessica A.|last5=Harden|first5=K. Paige|last6=Tucker-Drob|first6=Elliot M.|title=Strong genetic overlap between executive functions and intelligence.|journal=Journal of Experimental Psychology: General|volume=145|issue=9|pages=1141–1159|doi=10.1037/xge0000195|pmc=5001920|pmid=27359131|year=2016}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Ando 615–624&amp;quot;&amp;gt;{{Cite journal|last1=Ando|first1=Juko|last2=Ono|first2=Yutaka|last3=Wright|first3=Margaret J.|title=Genetic Structure of Spatial and Verbal Working Memory|journal=Behavior Genetics|language=en|volume=31|issue=6|pages=615–624|doi=10.1023/A:1013353613591|pmid=11838538|issn=0001-8244|year=2001}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last1=Blokland|first1=Gabriëlla A. M.|last2=McMahon|first2=Katie L.|last3=Thompson|first3=Paul M.|last4=Martin|first4=Nicholas G.|last5=de Zubicaray|first5=Greig I.|last6=Wright|first6=Margaret J.|date=2011-07-27|title=Heritability of Working Memory Brain Activation|journal=Journal of Neuroscience|volume=31|issue=30|pages=10882–10890|doi=10.1523/jneurosci.5334-10.2011|pmid=21795540|pmc=3163233}}&amp;lt;/ref&amp;gt; The genetic component of variability of working-memory capacity is largely shared with that of fluid intelligence.&amp;lt;ref name=&amp;quot;Ando 615–624&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
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Individual differences in working-memory capacity are to some extent heritable; that is, about half of the variation between individuals is related to differences in their genes. The genetic component of variability of working-memory capacity is largely shared with that of fluid intelligence.&lt;br /&gt;
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工作记忆能力的个体差异在某种程度上是遗传的，即个体间的约一半的差异与其基因差异有关。工作记忆容量变异性的遗传成分与流体智力的遗传成分大致相同。&lt;br /&gt;
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=== 识别个别基因的尝试 Attempts to identify individual genes ===&lt;br /&gt;
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Little is known about which genes are related to the functioning of working memory. Within the theoretical framework of the multi-component model, one candidate gene has been proposed, namely [[ROBO1]] for the hypothetical [[phonological loop]] component of working memory.&amp;lt;ref&amp;gt;{{Cite journal|last=Bates|first=Timothy|date=2011|title=Genetic Variance in a Component of the Language Acquisition Device: ROBO1 Polymorphisms Associated with Phonological Buffer Deficits|journal=Behavior Genetics|volume=41|issue=1|pages=50–7|doi=10.1007/s10519-010-9402-9|pmid=20949370}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Little is known about which genes are related to the functioning of working memory. Within the theoretical framework of the multi-component model, one candidate gene has been proposed, namely ROBO1 for the hypothetical phonological loop component of working memory.&lt;br /&gt;
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至于哪些基因与工作记忆的功能有关，我们知之甚少。多成分模型的理论框架提出了一个候选基因，即工作记忆的假设语音环成分ROBO1。&lt;br /&gt;
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== 在学术成就方面的角色 Role in academic achievement ==&lt;br /&gt;
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Working memory capacity is correlated with learning outcomes in literacy and numeracy. Initial evidence for this relation comes from the correlation between working-memory capacity and reading comprehension, as first observed by Daneman and Carpenter (1980)&amp;lt;ref&amp;gt;{{Cite journal|title = Individual differences in working memory and reading|journal = Journal of Verbal Learning and Verbal Behavior|date = 1980-08-01|pages = 450–466|volume = 19|issue = 4|doi = 10.1016/S0022-5371(80)90312-6|first1 = Meredyth|last1 = Daneman|first2 = Patricia A.|last2 = Carpenter}}&amp;lt;/ref&amp;gt; and confirmed in a later meta-analytic review of several studies.&amp;lt;ref&amp;gt;{{Cite journal|last1=Daneman|first1=Meredyth|last2=Merikle|first2=Philip M.|title=Working memory and language comprehension: A meta-analysis|journal=Psychonomic Bulletin &amp;amp; Review|language=en|volume=3|issue=4|pages=422–433|doi=10.3758/BF03214546|pmid=24213976|issn=1069-9384|year=1996|doi-access=free}}&amp;lt;/ref&amp;gt; Subsequent work found that working memory performance in primary school children accurately predicted performance in mathematical problem solving.&amp;lt;ref&amp;gt;{{Cite journal|last1=Swanson|first1=H. Lee|last2=Beebe-Frankenberger|first2=Margaret|year=2004|title=The Relationship Between Working Memory and Mathematical Problem Solving in Children at Risk and Not at Risk for Serious Math Difficulties|journal=Journal of Educational Psychology|volume=96|issue=3|pages=471–491|doi=10.1037/0022-0663.96.3.471}}&amp;lt;/ref&amp;gt; One longitudinal study showed that a child's working memory at 5 years old is a better predictor of academic success than IQ.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Alloway TP, Alloway RG |title=Investigating the predictive roles of working memory and IQ in academic attainment |journal=Journal of Experimental Child Psychology |volume=106|issue=1|pages= 20–9|year=2010|pmid=20018296 |doi=10.1016/j.jecp.2009.11.003|url=https://www.pure.ed.ac.uk/ws/files/11958608/Investigating_the_predictive_roles_of_working_memory_and_IQ_in_academic_attainment.pdf }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Working memory capacity is correlated with learning outcomes in literacy and numeracy. Initial evidence for this relation comes from the correlation between working-memory capacity and reading comprehension, as first observed by Daneman and Carpenter (1980) and confirmed in a later meta-analytic review of several studies. Subsequent work found that working memory performance in primary school children accurately predicted performance in mathematical problem solving. One longitudinal study showed that a child's working memory at 5 years old is a better predictor of academic success than IQ.&lt;br /&gt;
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工作记忆容量与识字和算术能力的学习成果相关。这种关系的初步证据来自于工作记忆容量和阅读理解之间的相关性，丹尼曼 Daneman 和 卡朋特 Carpenter 在1980年首次观察到这一现象，在后来的几项研究的综合分析中也得到证实。随后的研究发现小学生的工作记忆表现能准确地预测数学问题解决的表现。一项追踪研究表明，孩子5岁时的工作记忆比智商更能预测他的学术成就。&lt;br /&gt;
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In a large-scale screening study, one in ten children in mainstream classrooms were identified with working memory deficits. The majority of them performed very poorly in academic achievements, independent of their IQ.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Alloway TP, Gathercole SE, Kirkwood H, Elliott J |title=The cognitive and behavioral characteristics of children with low working memory |journal=Child Development |volume=80 |issue=2 |pages=606–21 |year=2009 |pmid=19467014 |doi=10.1111/j.1467-8624.2009.01282.x|hdl=1893/978 |hdl-access=free }}&amp;lt;/ref&amp;gt; Similarly, working memory deficits have been identified in national curriculum low-achievers as young as seven years of age.&amp;lt;ref&amp;gt;{{Cite journal|title = Working memory deficits in children with low achievements in the national curriculum at 7 years of age|journal = British Journal of Educational Psychology|date = 2000-06-01|issn = 2044-8279|pages = 177–194|volume = 70|issue = 2|doi = 10.1348/000709900158047|language = en|first1 = Susan E.|last1 = Gathercole|first2 = Susan J.|last2 = Pickering|pmid=10900777}}&amp;lt;/ref&amp;gt; Without appropriate intervention, these children lag behind their peers. A recent study of 37 school-age children with significant learning disabilities has shown that working memory capacity at baseline measurement, but not IQ, predicts learning outcomes two years later.&amp;lt;ref&amp;gt;{{Cite journal|first1=Tracy Packiam |last1=Alloway |year=2009 |journal=European Journal of Psychological Assessment |volume=25 |issue=2 |pages=92–8 |doi=10.1027/1015-5759.25.2.92 |title=Working Memory, but Not IQ, Predicts Subsequent Learning in Children with Learning Difficulties|hdl=1893/1005 |hdl-access=free }}&amp;lt;/ref&amp;gt; This suggests that working memory impairments are associated with low learning outcomes and constitute a high risk factor for educational underachievement for children. In children with learning disabilities such as [[dyslexia]], [[ADHD]], and developmental coordination disorder, a similar pattern is evident.&amp;lt;ref&amp;gt;{{cite book | last1 = Pickering | first1 = Susan J. | title = Working memory in dyslexia | editor1 = Tracy Packiam Alloway |editor2=Susan E Gathercole | work = Working memory and neurodevelopmental disorders | publisher = Psychology Press | year = 2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =   63692704}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1 = Wagner | first1 = Richard K. | last2 = Muse | first2 = Andrea | title = Short-term memory deficits in developmental dyslexia | editor1 = Tracy Packiam Alloway|editor2=Susan E Gathercole | work = Working memory and neurodevelopmental disorders | publisher = Psychology Press | year = 2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =  63692704}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1 = Roodenrys  | first1 = Steve  | title = Working memory function in attention deficit hyperactivity disorder | editor1 =  Tracy Packiam Alloway|editor2=Susan E Gathercole | work = orking memory and neurodevelopmental disorders | publisher =  Psychology Press | year =  2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =   63692704}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last1 = Alloway | first1 = Tracy Packiam | title = Working memory skills in children with developmental coordination disorder | editor1 =  Tracy Packiam Alloway|editor2=Susan E Gathercole | work = orking memory and neurodevelopmental disorders | publisher =  Psychology Press | year =  2006 | location = New York, NY | isbn = 978-1-84169-560-0 |oclc =   63692704}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a large-scale screening study, one in ten children in mainstream classrooms were identified with working memory deficits. The majority of them performed very poorly in academic achievements, independent of their IQ. Similarly, working memory deficits have been identified in national curriculum low-achievers as young as seven years of age. Without appropriate intervention, these children lag behind their peers. A recent study of 37 school-age children with significant learning disabilities has shown that working memory capacity at baseline measurement, but not IQ, predicts learning outcomes two years later. This suggests that working memory impairments are associated with low learning outcomes and constitute a high risk factor for educational underachievement for children. In children with learning disabilities such as dyslexia, ADHD, and developmental coordination disorder, a similar pattern is evident.&lt;br /&gt;
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在一项大规模的筛查研究中，主流教室中十分之一的儿童被确定为工作记忆缺陷。他们中的大多数在学术成就上表现非常贫乏，这与他们的智商无关。同样，国家课程标准把早至7岁的工作记忆缺陷儿童定性为低成就学生。如果没有适当的干预，这些孩子就会落后于同龄人。最近一项针对37名显著学习障碍的学龄儿童的研究表明，基线测量的工作记忆能力而非智商，可预测其两年后的学习结果。表明工作记忆障碍与低学习成绩有关，并成为儿童教育成绩不佳的高风险因素。在有学习障碍的儿童中，如诵读困难、多动症和失用症，类似模式是显著的。&lt;br /&gt;
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== 与注意力的关系 Relation to attention ==&lt;br /&gt;
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There is some evidence that optimal working memory performance links to the neural ability to focus attention on task-relevant information and to ignore distractions,&amp;lt;ref&amp;gt;{{Cite journal|date=March 2009|title=Neural suppression of irrelevant information underlies optimal working memory performance|journal=The Journal of Neuroscience|volume=29|issue=10|pages=3059–66|doi=10.1523/JNEUROSCI.4621-08.2009|pmc=2704557|pmid=19279242|author=Zanto, T. P.|author2=Gazzaley, A.}}&amp;lt;/ref&amp;gt; and that practice-related improvement in working memory is due to increasing these abilities.&amp;lt;ref&amp;gt;{{cite journal|last2=Zanto|first2=T.&amp;amp;nbsp;P.|last3=Rutman|first3=A.&amp;amp;nbsp;M.|last4=Clapp|first4=W.&amp;amp;nbsp;C.|last5=Gazzaley|first5=A.|year=2009|title=Practice-related improvement in working memory is modulated by changes in processing external interference|journal=Journal of Neurophysiology|volume=102|issue=3|pages=1779–89|doi=10.1152/jn.00179.2009|pmc=2746773|pmid=19587320|last1=Berry|first1=A.&amp;amp;nbsp;S.}}&amp;lt;/ref&amp;gt; One line of research suggests a link between the working memory capacities of a person and their ability to control the orientation of attention to stimuli in the environment.&amp;lt;ref name=&amp;quot;attention09&amp;quot;&amp;gt;{{Cite journal|vauthors=Fukuda K, Vogel EK |title=Human variation in overriding attentional capture |journal=The Journal of Neuroscience |volume=29 |issue=27 |pages=8726–33 |date=July 2009 |pmid=19587279 |pmc=6664881 |doi=10.1523/JNEUROSCI.2145-09.2009}}&amp;lt;/ref&amp;gt; Such control enables people to attend to information important for their current goals, and to ignore goal-irrelevant stimuli that tend to capture their attention due to their sensory [[salience (neuroscience)|saliency]] (such as an ambulance siren). The direction of attention according to one's goals is assumed to rely on &amp;quot;top-down&amp;quot; signals from the pre-frontal cortex (PFC) that biases processing in [[posterior cortex|posterior cortical areas]].&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Desimone R, Duncan J |title=Neural mechanisms of selective visual attention |journal=Annual Review of Neuroscience |volume=18 |pages=193–222 |year=1995 |pmid=7605061 |doi=10.1146/annurev.ne.18.030195.001205}}&amp;lt;/ref&amp;gt; Capture of attention by salient stimuli is assumed to be driven by &amp;quot;bottom-up&amp;quot; signals from subcortical structures and the primary sensory cortices.&amp;lt;ref&amp;gt;{{Cite journal|vauthors=Yantis S, Jonides J |title=Abrupt visual onsets and selective attention: voluntary versus automatic allocation |journal=Journal of Experimental Psychology. Human Perception and Performance |volume=16 |issue=1 |pages=121–34 |date=February 1990 |pmid=2137514 |url=http://content.apa.org/journals/xhp/16/1/121 |doi=10.1037/0096-1523.16.1.121|citeseerx=10.1.1.211.5016 }}&amp;lt;/ref&amp;gt; The ability to override &amp;quot;bottom-up&amp;quot; capture of attention differs between individuals, and this difference has been found to correlate with their performance in a working-memory test for visual information.&amp;lt;ref name=&amp;quot;attention09&amp;quot; /&amp;gt; Another study, however, found no correlation between the ability to override attentional capture and measures of more general working-memory capacity.&amp;lt;ref&amp;gt;{{Cite journal|last1=Mall|first1=Jonathan T.|last2=Morey|first2=Candice C.|last3=Wolff|first3=Michael J.|last4=Lehnert|first4=Franziska|date=2014-01-09|title=Visual selective attention is equally functional for individuals with low and high working memory capacity: Evidence from accuracy and eye movements|journal=Attention, Perception, &amp;amp; Psychophysics|language=en|volume=76|issue=7|pages=1998–2014|doi=10.3758/s13414-013-0610-2|pmid=24402698|issn=1943-3921|url=http://orca.cf.ac.uk/105362/1/Morey.%20Visual%20selective.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is some evidence that optimal working memory performance links to the neural ability to focus attention on task-relevant information and to ignore distractions, and that practice-related improvement in working memory is due to increasing these abilities. One line of research suggests a link between the working memory capacities of a person and their ability to control the orientation of attention to stimuli in the environment. Such control enables people to attend to information important for their current goals, and to ignore goal-irrelevant stimuli that tend to capture their attention due to their sensory saliency (such as an ambulance siren). The direction of attention according to one's goals is assumed to rely on &amp;quot;top-down&amp;quot; signals from the pre-frontal cortex (PFC) that biases processing in posterior cortical areas. Capture of attention by salient stimuli is assumed to be driven by &amp;quot;bottom-up&amp;quot; signals from subcortical structures and the primary sensory cortices. The ability to override &amp;quot;bottom-up&amp;quot; capture of attention differs between individuals, and this difference has been found to correlate with their performance in a working-memory test for visual information.&lt;br /&gt;
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有证据表明，较佳的工作记忆表现与集中注意力于任务相关信息并忽略干扰的神经能力有关，也就是说因练习而来的工作记忆改善实际上是上述能力改善的结果。一项研究表明，工作记忆能力和人对环境刺激的注意力方向的控制能力之间存在联系。这种控制让人得以关注对其当前目标重要的信息，忽略与目标无关的刺激，这些刺激由于其感官显著性（如救护车警报器）而倾向于吸引注意力。基于个体目标的注意力方向依赖于前额叶皮质(PFC)“自上而下”的信号，这种信号偏向于后皮质区的处理过程。显著刺激而获取的注意力受由皮层下结构和初级感觉皮层的“自下而上”的信号所驱动。&lt;br /&gt;
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== 与神经系统疾病的关系 Relationship with neural disorders ==&lt;br /&gt;
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An impairment of working memory functioning is normally seen in several neural disorders:&lt;br /&gt;
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An impairment of working memory functioning is normally seen in several neural disorders:&lt;br /&gt;
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工作记忆功能障碍通常见于以下神经系统疾病:&lt;br /&gt;
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'''ADHD:''' Several authors&amp;lt;ref&amp;gt;Barkley; Castellanos and Tannock; Pennington and Ozonoff; Schachar (according to the source)&amp;lt;/ref&amp;gt; have proposed that symptoms of [[ADHD]] arise from a primary deficit in a specific executive function (EF) domain such as working memory, response inhibition or a more general weakness in executive control.&amp;lt;ref name=&amp;quot;WillcuttDoyle2005&amp;quot;&amp;gt;{{cite journal|date=June 2005|title=Validity of the executive function theory of attention-deficit/hyperactivity disorder: a meta-analytic review|journal=Biol. Psychiatry|volume=57|issue=11|pages=1336–46|doi=10.1016/j.biopsych.2005.02.006|pmid=15950006|vauthors=Willcutt EG, Doyle AE, Nigg JT, Faraone SV, Pennington BF}}&amp;lt;/ref&amp;gt; A meta-analytical review cites several studies that found significant lower group results for ADHD in spatial and verbal working memory tasks, and in several other EF tasks. However, the authors concluded that EF weaknesses neither are necessary nor sufficient to cause all cases of ADHD.&amp;lt;ref name=&amp;quot;WillcuttDoyle2005&amp;quot; /&amp;gt;&lt;br /&gt;
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ADHD: Several authors have proposed that symptoms of ADHD arise from a primary deficit in a specific executive function (EF) domain such as working memory, response inhibition or a more general weakness in executive control. A meta-analytical review cites several studies that found significant lower group results for ADHD in spatial and verbal working memory tasks, and in several other EF tasks. However, the authors concluded that EF weaknesses neither are necessary nor sufficient to cause all cases of ADHD.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;注意力缺陷多动障碍（ADHD）&amp;lt;/font&amp;gt;''': 一些研究者提出ADHD 的症状源于一个特定 '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;执行功能（EF） Executive Function (EF)&amp;lt;/font&amp;gt;'''领域的原发性缺陷，如工作记忆、反应抑制或执行控制方面更普遍的缺陷。一项综合分析综述引用了几项研究，这些研究发现在空间和语言工作记忆任务及其他几项EF任务中，ADHD有较低的群体成绩。然而，研究者的结论是EF缺陷既非必要也不足以引起所有的ADHD病例。&lt;br /&gt;
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Several [[neurotransmitters]], such as [[dopamine]] and [[glutamate]] may be both involved in ADHD and working memory. Both are associated with the [[frontal lobe|frontal]] brain, self-direction and self-regulation, but [[Causality|cause–effect]] have not been confirmed, so it is unclear whether working memory dysfunction leads to ADHD, or ADHD distractibility leads to poor functionality of working memory, or if there is some other connection.&amp;lt;ref&amp;gt;[http://guilfordjournals.com/doi/abs/10.1521/adhd.2008.16.6.8 Working Memory as a Core Deficit in ADHD: Preliminary Findings and Implications] – 2008&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Clark Blackwell 2007&amp;quot;&amp;gt;{{cite journal|date=June 2007|title=Association between response inhibition and working memory in adult ADHD: a link to right frontal cortex pathology?|journal=Biol. Psychiatry|volume=61|issue=12|pages=1395–401|doi=10.1016/j.biopsych.2006.07.020|pmid=17046725|vauthors=Clark L, Blackwell AD, Aron AR, etal}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roodenrys Koloski 2001&amp;quot;&amp;gt;{{cite journal|last2=Koloski|first2=Natasha|last3=Grainger|first3=Jessica|year=2001|title=Working memory function in attention deficit hyperactivity disordered and reading disabled children|journal=British Journal of Developmental Psychology|volume=19|issue=3|pages=325–337|doi=10.1348/026151001166128|issn=0261-510X|last1=Roodenrys|first1=Steven}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Several neurotransmitters, such as dopamine and glutamate may be both involved in ADHD and working memory. Both are associated with the frontal brain, self-direction and self-regulation, but cause–effect have not been confirmed, so it is unclear whether working memory dysfunction leads to ADHD, or ADHD distractibility leads to poor functionality of working memory, or if there is some other connection.&lt;br /&gt;
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多巴胺和谷氨酸盐等多种神经递质可能都与ADHD和工作记忆有关。两者都与额叶大脑、自我定向和自我调节有关，但其因果关系尚未得到证实，所以目前尚不清楚是工作记忆功能障碍导致 ADHD，还是注意力分散导致ADHD工作记忆功能低下，或者是否存在其他联系。&lt;br /&gt;
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'''Parkinson's disease''':&amp;amp;nbsp;Patients with [[Parkinson's]] show signs of a reduced verbal function of working memory. They wanted to find if the reduction is due to a lack of ability to focus on relevant tasks, or a low amount of memory capacity. Twenty-one patients with Parkinson's were tested in comparison to the control group of 28 participants of the same age. The researchers found that both hypotheses were the reason working memory function is reduced which did not fully agree with their hypothesis that it is either one or the other.&amp;lt;ref&amp;gt;{{Cite journal|pmc=2929336|title=Visual working memory deficits in patients with Parkinson's disease are due to both reduced storage capacity and impaired ability to filter out irrelevant information|last=Lee|first=Eun-Young|date=5 August 2010|journal=Brain|volume=133|issue=9|pages=2677–2689|doi=10.1093/brain/awq197|pmid=20688815}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Parkinson's disease:&amp;amp;nbsp;Patients with Parkinson's show signs of a reduced verbal function of working memory. They wanted to find if the reduction is due to a lack of ability to focus on relevant tasks, or a low amount of memory capacity. Twenty-one patients with Parkinson's were tested in comparison to the control group of 28 participants of the same age. The researchers found that both hypotheses were the reason working memory function is reduced which did not fully agree with their hypothesis that it is either one or the other.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;帕金森病 Parkinson's Disease&amp;lt;/font&amp;gt;''': 帕金森病患者表现出工作记忆语言功能的减退。研究者想知道这种减少是因为缺乏专注于相关任务的能力，还是因为记忆容量太小。他们对21名帕金森病患者与28名同龄对照组进行了测试。研究人员发现二者都是工作记忆功能减退的原因，而非他们先前假设的原因在二者之一。&lt;br /&gt;
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'''Alzheimer's disease''': As [[Alzheimer's disease]] becomes more serious, less working memory functions. There is one study that focuses on the neural connections and fluidity of working memory in mice brains. Half of the mice were given an injection that is similar to Alzheimer's effects, and the other half were not. Then they were expected to go through a maze that is a task to test working memory. The study help answer questions about how Alzheimer's can deteriorate the working memory and ultimately obliterate memory functions.&amp;lt;ref&amp;gt;{{Cite journal|last=Tiaotiao|first=Liu|date=December 2014|title=Functional connectivity in a rat model of Alzheimer's disease during a working memory task|journal=Current Alzheimer Research|volume=11|issue=10|pages=981–991|doi=10.2174/1567205011666141107125912 |pmid=25387338}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Alzheimer's disease: As Alzheimer's disease becomes more serious, less working memory functions. There is one study that focuses on the neural connections and fluidity of working memory in mice brains. Half of the mice were given an injection that is similar to Alzheimer's effects, and the other half were not. Then they were expected to go through a maze that is a task to test working memory. The study help answer questions about how Alzheimer's can deteriorate the working memory and ultimately obliterate memory functions.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;阿尔茨海默病 Alzheimer's Disease&amp;lt;/font&amp;gt;''': 工作记忆功能随着阿尔茨海默病病情加重而降低。在一项针对老鼠大脑中的神经连接和工作记忆的流动性的研究中，一半的老鼠注射了类似于阿尔茨海默氏症的药物，另一半则没有。然后让它们穿越一个迷宫，即一个工作记忆测试任务。这项研究有助于回答老年痴呆症是如何损害工作记忆并最终消除记忆功能的。&lt;br /&gt;
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'''Huntington's disease''':&amp;amp;nbsp;A group of researchers hosted a study that researched the function and connectivity of working memory over a 30-month longitudinal experiment. It found that there were certain places in the brain where most connectivity was decreased in pre-[[Huntington disease]]d patients, in comparison to the control group that remained consistently functional.&amp;lt;ref&amp;gt;{{Cite journal|last=Poudel|first=Govinda R.|date=January 2015|title=Functional changes during working memory in Huntington's disease: 30-month longitudinal data from the IMAGE-HD study|journal=Brain Structure and Function|volume=220|issue=1|pages=501–512|pmid=24240602|doi=10.1007/s00429-013-0670-z}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Huntington's disease:&amp;amp;nbsp;A group of researchers hosted a study that researched the function and connectivity of working memory over a 30-month longitudinal experiment. It found that there were certain places in the brain where most connectivity was decreased in pre-Huntington diseased patients, in comparison to the control group that remained consistently functional.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;亨廷顿氏病 Huntington's Disease&amp;lt;/font&amp;gt;''': 一组研究人员进行了一项研究工作记忆的功能和连接性的为期30个月的纵向实验。研究发现亨廷顿症患者大脑中特定部位的连接性降低，而对照组功能持续正常。&lt;br /&gt;
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== 参见 See also ==&lt;br /&gt;
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* [[多重记忆模型 Atkinson–Shiffrin memory model]]&lt;br /&gt;
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* {{Section link|Prefrontal cortex|注意力和记忆 Attention and memory}}&lt;br /&gt;
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* [[孤独症与工作记忆 Autism and working memory]]&lt;br /&gt;
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* [[模糊痕迹理论 Fuzzy-trace theory]]&lt;br /&gt;
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* [[中期记忆 Intermediate-term memory]]&lt;br /&gt;
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* [[记忆与老化 Memory and aging]]&lt;br /&gt;
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* [[PBWM|前额叶基底节工作记忆 Prefrontal cortex basal ganglia working memory (PBWM)]]&lt;br /&gt;
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* [[意识结构 Cognitive architecture]]&lt;br /&gt;
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* [[提姆・沙丽斯 Tim Shallice]]&lt;br /&gt;
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== 参考文献 References ==&lt;br /&gt;
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{{Reflist|33em}}&lt;br /&gt;
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== 外部链接 External links ==&lt;br /&gt;
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* [http://psych.colorado.edu/~miyake/MWM%20Chapter%201.pdf Models of Working Memory (Mechanisms of Active Maintenance and Executive Control)]&lt;br /&gt;
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{{Memory}}&lt;br /&gt;
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{{Dyslexia}}&lt;br /&gt;
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[[Category:Memory processes]]&lt;br /&gt;
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Category:Memory processes&lt;br /&gt;
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分类: 记忆过程&lt;br /&gt;
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[[Category:Problem solving]]&lt;br /&gt;
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Category:Problem solving&lt;br /&gt;
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分类: 解决问题&lt;br /&gt;
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[[Category:Human behavior]]&lt;br /&gt;
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Category:Human behavior&lt;br /&gt;
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分类: 人类行为&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Working memory]]. Its edit history can be viewed at [[工作记忆/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E4%BA%92%E4%BF%A1%E6%81%AF&amp;diff=13096</id>
		<title>互信息</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E4%BA%92%E4%BF%A1%E6%81%AF&amp;diff=13096"/>
		<updated>2020-08-20T16:19:50Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 参见 See also */&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{Information theory}}&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）在篇首注明由谁谁翻译生产~&lt;br /&gt;
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[[File:Entropy-mutual-information-relative-entropy-relation-diagram.svg|thumb|256px|right|[[Venn diagram]] showing additive and subtractive relationships various information measures associated with correlated variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. The area contained by both circles is the [[joint entropy]] &lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）图片应该按照[图1：英文+中文]&lt;br /&gt;
&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;. The circle on the left (red and violet) is the [[Entropy (information theory)|individual entropy]] &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;, with the red being the [[conditional entropy]] &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;. The circle on the right (blue and violet) is &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;, with the blue being &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;. The violet is the [[mutual information]] &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;.  这里的维恩图显示了各种信息间的交并补运算关系关系，这些信息都可以用来度量变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的各种相关性。图中所有面积（包括两个圆圈）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''联合熵 Joint entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;。左侧的整个圆圈表示变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''独立熵 Individual entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;，红色（差集）部分表示X的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''条件熵 Conditional entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;。右侧的整个圆圈表示变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的独立熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;，蓝色（差集）部分表示X的条件熵&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;。两个圆中间的交集部分（紫色的部分）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''互信息 Mutual information，MI'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;）。]]&lt;br /&gt;
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Venn diagram showing additive and subtractive relationships various information measures associated with correlated variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. The area contained by both circles is the joint entropy &amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;. The circle on the left (red and violet) is the individual entropy &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;, with the red being the conditional entropy &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;. The circle on the right (blue and violet) is &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;, with the blue being &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;. The violet is the mutual information &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Venn diagram showing additive and subtractive relationships various information measures associated with correlated variables 𝑋 and 𝑌. The area contained by both circles is the joint entropy H(𝑋,𝑌). The circle on the left (red and violet) is the individual entropy H(𝑋), with the red being the conditional entropy H(𝑋|𝑌). The circle on the right (blue and violet) is H(𝑌), with the blue being H(𝑌|𝑋). The violet is the mutual information I(𝑋;𝑌).&lt;br /&gt;
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这里的维恩图显示了各种信息间的交并补运算关系关系，这些信息都可以用来度量变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的各种相关性。图中所有面积（包括两个圆圈）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''联合熵 Joint entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;。左侧的整个圆圈表示变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''独立熵 Individual entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;，红色（差集）部分表示X的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''条件熵 Conditional entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;。右侧的整个圆圈表示变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的独立熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;，蓝色（差集）部分表示X的条件熵&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;。两个圆中间的交集部分（紫色的部分）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''互信息 Mutual information，MI'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;）。&lt;br /&gt;
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In [[probability theory]] and [[information theory]], the '''mutual information''' ('''MI''') of two [[random variable]]s is a measure of the mutual [[Statistical dependence|dependence]] between the two variables. More specifically, it quantifies the &amp;quot;amount of information&amp;quot; (in [[unit of measurement|unit]]s such as [[shannon (unit)|shannon]]s, commonly called bits) obtained about one random variable through observing the other random variable.  The concept of mutual information is intricately linked to that of [[Entropy (information theory)|entropy]] of a random variable, a fundamental notion in information theory that quantifies the expected &amp;quot;[[Information content|amount of information]]&amp;quot; held in a random variable.&lt;br /&gt;
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In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically, it quantifies the &amp;quot;amount of information&amp;quot; (in units such as shannons, commonly called bits) obtained about one random variable through observing the other random variable.  The concept of mutual information is intricately linked to that of entropy of a random variable, a fundamental notion in information theory that quantifies the expected &amp;quot;amount of information&amp;quot; held in a random variable.&lt;br /&gt;
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在&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''概率论 Probability theory'''&amp;lt;/font&amp;gt;和&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''信息论 Information theory'''&amp;lt;/font&amp;gt;理论中，两个随机变量的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''互信息 Mutual Information，MI'''&amp;lt;/font&amp;gt;是两个变量之间相互依赖程度的度量。更具体地说，它量化了通过观察一个随机变量而可以获得的关于另一个随机变量的“信息量”（单位如''香农 Shannons''，通常称为比特）。互信息的概念与随机变量的熵之间有着错综复杂的联系，熵是信息论中的一个基本概念，它量化了随机变量中所包含的预期“信息量”。&lt;br /&gt;
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Not limited to real-valued random variables and linear dependence like the [[correlation coefficient]], MI is more general and determines how different the [[joint distribution]] of the pair &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; is to the product of the marginal distributions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. MI is the [[expected value]] of the [[pointwise mutual information]] (PMI).&lt;br /&gt;
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Not limited to real-valued random variables and linear dependence like the correlation coefficient, MI is more general and determines how different the joint distribution of the pair &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; is to the product of the marginal distributions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. MI is the expected value of the pointwise mutual information (PMI).&lt;br /&gt;
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不仅限于实值随机变量和线性依赖之类的的相关系数，互信息表示的关系其实更加普遍，它决定了一对变量&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;的联合分布与&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''边缘分布 Marginal distributions'''&amp;lt;/font&amp;gt;之积的不同程度。互信息是'''点互信息 Pointwise mutual information，PMI'''的期望值。&lt;br /&gt;
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Mutual Information is also known as [[information gain]].&lt;br /&gt;
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Mutual Information is also known as information gain.&lt;br /&gt;
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互信息也称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''信息增益 Information gain'''&amp;lt;/font&amp;gt;。&lt;br /&gt;
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== 定义 Definition ==&lt;br /&gt;
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Let &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; be a pair of random variables with values over the space &amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;. If their joint distribution is &amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt; and the marginal distributions are &amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;, the mutual information is defined as&lt;br /&gt;
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Let &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; be a pair of random variables with values over the space &amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;. If their joint distribution is &amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt; and the marginal distributions are &amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;, the mutual information is defined as&lt;br /&gt;
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设一对随机变量&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;的参数空间为&amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;。若它们之间的的联合概率分布为&amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt;，边缘分布分别为&amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;，则它们之间的互信息定义为：&lt;br /&gt;
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[[文件:MI pic1.png|左|缩略图]]&lt;br /&gt;
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where &amp;lt;math&amp;gt;D_{\mathrm{KL}}&amp;lt;/math&amp;gt; is the [[Kullback–Leibler divergence]].&lt;br /&gt;
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其中&amp;lt;math&amp;gt;D_{\mathrm{KL}}&amp;lt;/math&amp;gt;表示&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''相对熵 Relative entropy，又称Kullback-Leibler散度'''&amp;lt;/font&amp;gt;。&lt;br /&gt;
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Notice, as per property of the [[Kullback–Leibler divergence]], that &amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt; is equal to zero precisely when the joint distribution coincides with the product of the marginals, i.e. when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent (and hence observing &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; tells you nothing about &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;In general &amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt; is non-negative, it is a measure of the price for encoding &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; as a pair of independent random variables, when in reality they are not.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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需要注意的是，根据Kullback–Leibler散度的性质，当两个随机变量的联合分布与其分别的边缘分布的乘积相等时，即当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相互独立的时，&amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt;等于零（因此已知&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的信息并不能得到任何关于&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的信息）。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;一般来说，&amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt;是非负的，因为它是将&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;作为一对独立随机变量来编码进而来进行价格（价值）度量的，但实际上它们并不一定是非负的。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
== 关于离散分布的PMF In terms of PMFs for discrete distributions ==&lt;br /&gt;
&lt;br /&gt;
The mutual information of two jointly discrete random variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is calculated as a double sum:&amp;lt;ref name=cover1991&amp;gt;{{cite book|last1=Cover|first1=T.M.|last2=Thomas|first2=J.A.|title=Elements of Information Theory|url=https://archive.org/details/elementsofinform0000cove|url-access=registration|date=1991|isbn=978-0-471-24195-9|edition=Wiley}}&amp;lt;/ref&amp;gt;{{rp|20}}&lt;br /&gt;
&lt;br /&gt;
The mutual information of two jointly discrete random variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is calculated as a double sum:&lt;br /&gt;
&lt;br /&gt;
两个联合分布的离散型随机变量X和Y的互信息计算表现为双和的形式：&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic2.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is the [[joint distribution|joint probability ''mass'' function]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the [[marginal probability]] mass functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is the joint probability mass function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability mass functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;概率质量函数 Probability mass functions&amp;lt;/font&amp;gt;'''，而&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt;分别是数学&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边缘概率质量函数 Marginal probability mass functions&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意首字母大写&lt;br /&gt;
&lt;br /&gt;
== 连续分布的PDF In terms of PDFs for continuous distributions ==&lt;br /&gt;
&lt;br /&gt;
In the case of jointly continuous random variables, the double sum is replaced by a [[double integral]]:&amp;lt;ref name=cover1991 /&amp;gt;{{rp|251}}&lt;br /&gt;
&lt;br /&gt;
In the case of jointly continuous random variables, the double sum is replaced by a double integral:&lt;br /&gt;
&lt;br /&gt;
在联合分布的随机变量为连续型的情况下，公式中的二重求和用二重积分代替:&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic3.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is now the joint probability ''density'' function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability density functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is now the joint probability density function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability density functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
式中，&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的联合概率密度函数，而&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt;分别是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边缘概率密度函数 Probability density function&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If the [[Logarithm|log base]] 2 is used, the units of mutual information are [[bit|bits]].&lt;br /&gt;
&lt;br /&gt;
If the log base 2 is used, the units of mutual information are bits.&lt;br /&gt;
&lt;br /&gt;
如果以2为底取对数，则互信息的单位为''位 bit''。&lt;br /&gt;
&lt;br /&gt;
== 动机 Motivation ==&lt;br /&gt;
&lt;br /&gt;
Intuitively, mutual information measures the information that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; share: It measures how much knowing one of these variables reduces uncertainty about the other. For example, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does not give any information about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa, so their mutual information is zero.  At the other extreme, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; then all information conveyed by &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is shared with &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; determines the value of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa. As a result, in this case the mutual information is the same as the uncertainty contained in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) alone, namely the [[information entropy|entropy]] of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). Moreover, this mutual information is the same as the entropy of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and as the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. (A very special case of this is when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are the same random variable.)&lt;br /&gt;
&lt;br /&gt;
Intuitively, mutual information measures the information that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; share: It measures how much knowing one of these variables reduces uncertainty about the other. For example, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does not give any information about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa, so their mutual information is zero.  At the other extreme, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; then all information conveyed by &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is shared with &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; determines the value of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa. As a result, in this case the mutual information is the same as the uncertainty contained in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) alone, namely the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). Moreover, this mutual information is the same as the entropy of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and as the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. (A very special case of this is when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are the same random variable.)&lt;br /&gt;
&lt;br /&gt;
直观地说，相互信息衡量了&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的信息共享程度：它衡量了当已知其中一个变量后可以减少另一个变量多少的不确定性。例如，若&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相互独立的，那么已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;不会得到关于&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的任何信息，反之亦然，因此它们之间的互信息为零。而另一种极端情况就是，若&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;确定函数&amp;lt;/font&amp;gt;'''，而&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;也是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;自身的确定函数，则&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;传递的所有信息都与&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;共享：即已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;就可以知道&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的值，反之亦然。因此，在这种情况下，互信息与仅包含在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;）中的不确定性相同，即&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;）的熵相同。此外，这种情况下互信息与&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的熵和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的熵相同。（一个非常特殊的情况是当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相同的随机变量。）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Mutual information is a measure of the inherent dependence expressed in the [[joint distribution]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; relative to the joint distribution of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; under the assumption of independence. Mutual information therefore measures dependence in the following sense: &amp;lt;math&amp;gt;\operatorname{I}(X;Y)=0&amp;lt;/math&amp;gt; [[if and only if]] &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent random variables.  This is easy to see in one direction: if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then &amp;lt;math&amp;gt;p_{(X,Y)}(x,y)=p_X(x) \cdot p_Y(y)&amp;lt;/math&amp;gt;, and therefore:&lt;br /&gt;
&lt;br /&gt;
Mutual information is a measure of the inherent dependence expressed in the joint distribution of 𝑋 and 𝑌 relative to the joint distribution of 𝑋 and 𝑌 under the assumption of independence. Mutual information therefore measures dependence in the following sense: I(𝑋;𝑌)=0 if and only if 𝑋 and 𝑌 are independent random variables. This is easy to see in one direction: if 𝑋 and 𝑌 are independent, then 𝑝(𝑋,𝑌)(𝑥,𝑦)=𝑝𝑋(𝑥)⋅𝑝𝑌(𝑦), and therefore:&lt;br /&gt;
&lt;br /&gt;
互信息是在独立假设下，&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的联合分布相对于其内在相关性的度量。因此互信息是在以下条件下定义相关性的：&amp;lt;math&amp;gt;\operatorname{I}(X;Y)=0&amp;lt;/math&amp;gt;当且仅当&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是独立随机变量时。这很容易从一个方向看出：如果&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是独立的，那么&amp;lt;math&amp;gt;p_{(X,Y)}(x,y)=p_X(x) \cdot p_Y(y)&amp;lt;/math&amp;gt;，因此：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; \log{ \left( \frac{p_{(X,Y)}(x,y)}{p_X(x)\,p_Y(y)} \right) } = \log 1 = 0 .&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Moreover, mutual information is nonnegative (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt; see below) and [[Symmetric function|symmetric]] (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt; see below).&lt;br /&gt;
&lt;br /&gt;
Moreover, mutual information is nonnegative (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt; see below) and symmetric (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt; see below).&lt;br /&gt;
&lt;br /&gt;
此外，互信息是非负的（例如：（&amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt;，见下文）和对称的（即&amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt;，见下文）。&lt;br /&gt;
&lt;br /&gt;
== 与其他量的关系 Relation to other quantities ==&lt;br /&gt;
&lt;br /&gt;
=== 非负性 Nonnegativity ===&lt;br /&gt;
&lt;br /&gt;
Using [[Jensen's inequality]] on the definition of mutual information we can show that &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, i.e.&amp;lt;ref name=cover1991 /&amp;gt;{{rp|28}}&lt;br /&gt;
&lt;br /&gt;
Using Jensen's inequality on the definition of mutual information we can show that &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, i.e.&lt;br /&gt;
&lt;br /&gt;
利用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;琴生不等式 Jensen's inequality&amp;lt;/font&amp;gt;'''对互信息的定义进行推导，我们可以证明&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;是非负的，即:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 对称性 Symmetry===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 条件熵与联合熵的关系 Relation to conditional and joint entropy ===&lt;br /&gt;
&lt;br /&gt;
Mutual information can be equivalently expressed as:&lt;br /&gt;
&lt;br /&gt;
Mutual information can be equivalently expressed as:&lt;br /&gt;
&lt;br /&gt;
互信息也可以等价地表示为:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic4.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt; are the marginal [[information entropy|entropies]], &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt; are the [[conditional entropy|conditional entropies]], and &amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt; is the [[joint entropy]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
其中&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边际熵 Marginal entropy&amp;lt;/font&amp;gt;'''，&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;表示'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;条件熵 Conditional entropy&amp;lt;/font&amp;gt;'''，&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合熵 Joint entropy&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Notice the analogy to the union, difference, and intersection of two sets: in this respect, all the formulas given above are apparent from the Venn diagram reported at the beginning of the article.&lt;br /&gt;
&lt;br /&gt;
注意两个集合的并集、差集和交集的类比：在这方面，上面给出的所有公式都可以从文章开头的维恩图中看出。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In terms of a communication channel in which the output &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a noisy version of the input &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;, these relations are summarised in the figure:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
就输出&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是输入&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的噪声版本的通信信道而言，这些关系如图中总结所示：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:Figchannel2017ab.svg|thumb| The relationships between information theoretic quantities 信息论量之间的关系]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Because &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, consequently, &amp;lt;math&amp;gt;H(X) \ge H(X|Y)&amp;lt;/math&amp;gt;. Here we give the detailed deduction of &amp;lt;math&amp;gt;\operatorname{I}(X;Y)=H(Y)-H(Y|X)&amp;lt;/math&amp;gt; for the case of jointly discrete random variables:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
因为&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;是非负的，因此&amp;lt;math&amp;gt;H(X) \ge H(X|Y)&amp;lt;/math&amp;gt;。这里我们给出了联合离散随机变量情形下结论&amp;lt;math&amp;gt;\operatorname{I}(X;Y)=H(Y)-H(Y|X)&amp;lt;/math&amp;gt;的详细推导过程：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic5.png|居中|800px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The proofs of the other identities above are similar. The proof of the general case (not just discrete) is similar, with integrals replacing sums.&lt;br /&gt;
&lt;br /&gt;
同理，上述其他恒等式的证明方法都是是相似的。一般情况(不仅仅是离散情况)的证明是类似的，用积分代替求和。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Intuitively, if entropy &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt; is regarded as a measure of uncertainty about a random variable, then &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt; is a measure of what &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does ''not'' say about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. This is &amp;quot;the amount of uncertainty remaining about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; after &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is known&amp;quot;, and thus the right side of the second of these equalities can be read as &amp;quot;the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, minus the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; which remains after &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is known&amp;quot;, which is equivalent to &amp;quot;the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; which is removed by knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;&amp;quot;. This corroborates the intuitive meaning of mutual information as the amount of information (that is, reduction in uncertainty) that knowing either variable provides about the other.&lt;br /&gt;
&lt;br /&gt;
Intuitively, if entropy 𝐻(𝑌) is regarded as a measure of uncertainty about a random variable, then 𝐻(𝑌|𝑋) is a measure of what 𝑋 does not say about 𝑌. This is &amp;quot;the amount of uncertainty remaining about 𝑌 after 𝑋 is known&amp;quot;, and thus the right side of the second of these equalities can be read as &amp;quot;the amount of uncertainty in 𝑌, minus the amount of uncertainty in 𝑌 which remains after 𝑋 is known&amp;quot;, which is equivalent to &amp;quot;the amount of uncertainty in 𝑌 which is removed by knowing 𝑋&amp;quot;. This corroborates the intuitive meaning of mutual information as the amount of information (that is, reduction in uncertainty) that knowing either variable provides about the other.&lt;br /&gt;
&lt;br /&gt;
理论上来说，如果熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;被视为随机变量不确定性的度量，那么&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;则是对&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;没有说明&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的程度的度量。也就是“已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;后，关于&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;剩余的不确定性”的度量，因此这些等式中第二个等式的右侧可以解读为“&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;中的不确定性量，减去已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;后仍然存在的不确定性的量”，相当于“已知后消除的&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;中的不确定性量”&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;&amp;quot;.这证实了相互信息的直观含义就是了解其中一个变量提供的关于另一个变量的信息量（即不确定性的减少程度）。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note that in the discrete case &amp;lt;math&amp;gt;H(X|X) = 0&amp;lt;/math&amp;gt; and therefore &amp;lt;math&amp;gt;H(X) = \operatorname{I}(X;X)&amp;lt;/math&amp;gt;. Thus &amp;lt;math&amp;gt;\operatorname{I}(X; X) \ge \operatorname{I}(X; Y)&amp;lt;/math&amp;gt;, and one can formulate the basic principle that a variable contains at least as much information about itself as any other variable can provide.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
注意，在离散情况下，&amp;lt;math&amp;gt;H(X|X) = 0&amp;lt;/math&amp;gt;，因此&amp;lt;math&amp;gt;H(X) = \operatorname{I}(X;X)&amp;lt;/math&amp;gt;。所以，&amp;lt;math&amp;gt;\operatorname{I}(X; X) \ge \operatorname{I}(X; Y)&amp;lt;/math&amp;gt;，据此我们可以得到一个基本结论，那就是一个变量至少包含与任何其他变量所能提供的关于自身的信息量的这么多信息。&lt;br /&gt;
&lt;br /&gt;
=== 与相对熵的关系 Relation to Kullback–Leibler divergence ===&lt;br /&gt;
&lt;br /&gt;
For jointly discrete or jointly continuous pairs &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;, &lt;br /&gt;
&lt;br /&gt;
For jointly discrete or jointly continuous pairs &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;, &lt;br /&gt;
&lt;br /&gt;
对于联合的离散或连续分布变量对&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;，&lt;br /&gt;
&lt;br /&gt;
mutual information is the [[Kullback–Leibler divergence]] of the product of the [[marginal distribution]]s, &amp;lt;math&amp;gt;p_X \cdot p_Y&amp;lt;/math&amp;gt;, from the [[joint distribution]] &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;, that is,&lt;br /&gt;
&lt;br /&gt;
mutual information is the Kullback–Leibler divergence of the product of the marginal distributions, 𝑝𝑋⋅𝑝𝑌, from the joint distribution 𝑝(𝑋,𝑌), that is,&lt;br /&gt;
&lt;br /&gt;
互信息是边缘分布乘积的相对熵 &amp;lt;math&amp;gt;D_{KL}&amp;lt;/math&amp;gt;，也就是联合分布&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;的乘积，即：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic6.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Furthermore, let &amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt; be the conditional mass or density function. Then, we have the identity&lt;br /&gt;
&lt;br /&gt;
Furthermore, let &amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt; be the conditional mass or density function. Then, we have the identity&lt;br /&gt;
&lt;br /&gt;
进一步地，设&amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt;为条件质量或密度函数。那么，我们就可以给出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic7.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The proof for jointly discrete random variables is as follows:&lt;br /&gt;
&lt;br /&gt;
The proof for jointly discrete random variables is as follows:&lt;br /&gt;
&lt;br /&gt;
联合离散随机变量的证明如下:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic8.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Similarly this identity can be established for jointly continuous random variables.&lt;br /&gt;
&lt;br /&gt;
Similarly this identity can be established for jointly continuous random variables.&lt;br /&gt;
&lt;br /&gt;
这个恒等式在联合、连续的随机变量情况下同样成立。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note that here the Kullback–Leibler divergence involves integration over the values of the random variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; only, and the expression &amp;lt;math&amp;gt;D_\text{KL}(p_{X|Y} \parallel p_X)&amp;lt;/math&amp;gt; still denotes a random variable because &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is random. Thus mutual information can also be understood as the [[expected value|expectation]] of the Kullback–Leibler divergence of the [[univariate distribution]] &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; from the [[conditional distribution]] &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; given &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: the more different the distributions &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; are on average, the greater the [[Kullback–Leibler divergence|information gain]].&lt;br /&gt;
&lt;br /&gt;
Note that here the Kullback–Leibler divergence involves integration over the values of the random variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; only, and the expression &amp;lt;math&amp;gt;D_\text{KL}(p_{X|Y} \parallel p_X)&amp;lt;/math&amp;gt; still denotes a random variable because &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is random. Thus mutual information can also be understood as the expectation of the Kullback–Leibler divergence of the univariate distribution &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; from the conditional distribution &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; given &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: the more different the distributions &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; are on average, the greater the information gain.&lt;br /&gt;
&lt;br /&gt;
因此，互信息也可以理解为X的单变量分布&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;与给定&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的条件分布&amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt;的相对熵的期望：平均分布&amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;的分布差异越大，信息增益越大。&lt;br /&gt;
&lt;br /&gt;
=== 互信息的贝叶斯估计 Bayesian estimation of mutual information ===&lt;br /&gt;
&lt;br /&gt;
It is well-understood how to do Bayesian estimation of the mutual information of a joint distribution based on samples of that distribution. &lt;br /&gt;
&lt;br /&gt;
It is well-understood how to do Bayesian estimation of the mutual information of a joint distribution based on samples of that distribution. &lt;br /&gt;
&lt;br /&gt;
如何根据联合分布的样本对联合分布的互信息进行贝叶斯估计，是一个众所周知的问题&lt;br /&gt;
&lt;br /&gt;
The first work to do this, which also showed how to do Bayesian estimation of many other information-theoretic properties besides mutual information, was &amp;lt;ref&amp;gt;{{cite journal | last1 = Wolpert | first1 = D.H. | last2 = Wolf | first2 = D.R. | year = 1995 | title = Estimating functions of probability distributions from a finite set of samples | journal = Physical Review E | volume = 52 | issue = 6 | pages = 6841–6854 | doi = 10.1103/PhysRevE.52.6841 | pmid = 9964199 | citeseerx = 10.1.1.55.7122 | bibcode = 1995PhRvE..52.6841W }}&amp;lt;/ref&amp;gt;. Subsequent researchers have rederived &amp;lt;ref&amp;gt;{{cite journal | last1 = Hutter | first1 = M. | year = 2001 | title = Distribution of Mutual Information | journal = Advances in Neural Information Processing Systems 2001 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
and extended &amp;lt;ref&amp;gt;{{cite journal | last1 = Archer | first1 = E. | last2 = Park | first2 = I.M. | last3 = Pillow | first3 = J. | year = 2013 | title = Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data | journal = Entropy| volume = 15 | issue = 12 | pages = 1738–1755 | doi = 10.3390/e15051738 | citeseerx = 10.1.1.294.4690 | bibcode = 2013Entrp..15.1738A }}&amp;lt;/ref&amp;gt;this analysis. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
关于这方面的第一项工作是文献[2]。后来的研究人员重新推导了文献[3]中的内容，并扩展了关于[4]的分析。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
See &amp;lt;ref&amp;gt;{{cite journal | last1 = Wolpert | first1 = D.H | last2 = DeDeo | first2 = S. | year = 2013 | title = Estimating Functions of Distributions Defined over Spaces of Unknown Size | journal = Entropy | volume = 15 | issue = 12 | pages = 4668–4699 | doi = 10.3390/e15114668 | arxiv = 1311.4548 | bibcode = 2013Entrp..15.4668W }}&amp;lt;/ref&amp;gt;for a recent paper based on a prior specifically tailored to estimation of mutual information per se. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
最近的一篇论文[5]，该论文基于一个专门针对相互信息本身估计的先验知识。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Besides, recently an estimation method accounting for continuous and multivariate outputs,  &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, was proposed in &amp;lt;ref&amp;gt;{{citation| journal = [[PLOS Computational Biology]]|volume = 15|issue = 7|pages = e1007132|doi = 10.1371/journal.pcbi.1007132|pmid = 31299056|pmc = 6655862|title=Information-theoretic analysis of multivariate single-cell signaling responses|author1= Tomasz Jetka|author2= Karol Nienaltowski|author3= Tomasz Winarski| author4=Slawomir Blonski| author5= Michal Komorowski|year=2019|bibcode = 2019PLSCB..15E7132J|arxiv = 1808.05581}}&amp;lt;/ref&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
此外，最近文献[6]提出了一种考虑连续多种输出变量𝑌的估计方法。&lt;br /&gt;
&lt;br /&gt;
=== 独立性假设 Independence assumptions ===&lt;br /&gt;
&lt;br /&gt;
The Kullback-Leibler divergence formulation of the mutual information is predicated on that one is interested in comparing &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; to the fully factorized [[outer product]] &amp;lt;math&amp;gt;p(x) \cdot p(y)&amp;lt;/math&amp;gt;. In many problems, such as [[non-negative matrix factorization]], one is interested in less extreme factorizations; specifically, one wishes to compare &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; to a low-rank matrix approximation in some unknown variable &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;; that is, to what degree one might have&lt;br /&gt;
&lt;br /&gt;
The Kullback-Leibler divergence formulation of the mutual information is predicated on that one is interested in comparing 𝑝(𝑥,𝑦) to the fully factorized outer product 𝑝(𝑥)⋅𝑝(𝑦). In many problems, such as non-negative matrix factorization, one is interested in '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;less extreme factorizations&amp;lt;/font&amp;gt;'''; specifically, one wishes to compare 𝑝(𝑥,𝑦) to a low-rank matrix approximation in some unknown variable 𝑤; that is, to what degree one might have&lt;br /&gt;
&lt;br /&gt;
相互信息的Kullback-Leibler散度公式是基于这样一个结论的：人们会更关注将&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;与完全分解的外积&amp;lt;math&amp;gt;p(x) \cdot p(y)&amp;lt;/math&amp;gt;进行比较。在许多问题中，例如非负矩阵因式分解中，人们对'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;较不极端的&amp;lt;/font&amp;gt;'''因式分解感兴趣；具体地说，人们希望将&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;与某个未知变量&amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;中的低秩矩阵近似进行比较；也就是说，在多大程度上可能会有这样的结果：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;p(x,y)\approx \sum_w p^\prime (x,w) p^{\prime\prime}(w,y)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Alternately, one might be interested in knowing how much more information &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; carries over its factorization. In such a case, the excess information that the full distribution &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; carries over the matrix factorization is given by the Kullback-Leibler divergence&lt;br /&gt;
&lt;br /&gt;
Alternately, one might be interested in knowing how much more information 𝑝(𝑥,𝑦) carries over its factorization. In such a case, the excess information that the full distribution 𝑝(𝑥,𝑦) carries over the matrix factorization is given by the Kullback-Leibler divergence&lt;br /&gt;
&lt;br /&gt;
另一方面，人们可能有兴趣知道在因子分解过程中，有&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;携带了多少信息。在这种情况下，全分布&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;通过矩阵因子分解所携带的多余信息由Kullback-Leibler散度给出&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I}_{LRMA} = \sum_{y \in \mathcal{Y}} \sum_{x \in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p(x,y) \log{ \left(\frac{p(x,y)}{\sum_w p^\prime (x,w) p^{\prime\prime}(w,y)}&lt;br /&gt;
&lt;br /&gt;
      \right) }},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The conventional definition of the mutual information is recovered in the extreme case that the process &amp;lt;math&amp;gt;W&amp;lt;/math&amp;gt; has only one value for &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
The conventional definition of the mutual information is recovered in the extreme case that the process &amp;lt;math&amp;gt;W&amp;lt;/math&amp;gt; has only one value for &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
在过程&amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;只有一个值的极端情况下，可以使用传统的互信息定义。&lt;br /&gt;
&lt;br /&gt;
== 变形 Variations ==&lt;br /&gt;
&lt;br /&gt;
Several variations on mutual information have been proposed to suit various needs.  Among these are normalized variants and generalizations to more than two variables.&lt;br /&gt;
&lt;br /&gt;
Several variations on mutual information have been proposed to suit various needs.  Among these are normalized variants and generalizations to more than two variables.&lt;br /&gt;
&lt;br /&gt;
为了适应不同的需要，已经提出了几种互信息的变形。其中包括对两个以上变量的规范化变量和泛化。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 度量 Metric ===&lt;br /&gt;
&lt;br /&gt;
Many applications require a [[metric (mathematics)|metric]], that is, a distance measure between pairs of points. The quantity&lt;br /&gt;
&lt;br /&gt;
Many applications require a metric, that is, a distance measure between pairs of points. The quantity&lt;br /&gt;
&lt;br /&gt;
许多应用需要一个度量，即点对之间的距离度量。这个量：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\begin{align}&lt;br /&gt;
&lt;br /&gt;
d(X,Y) &amp;amp;= H(X,Y) - \operatorname{I}(X;Y) \\&lt;br /&gt;
&lt;br /&gt;
       &amp;amp;= H(X) + H(Y) - 2\operatorname{I}(X;Y) \\&lt;br /&gt;
&lt;br /&gt;
       &amp;amp;= H(X|Y) + H(Y|X)&lt;br /&gt;
&lt;br /&gt;
\end{align}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
satisfies the properties of a metric ([[triangle inequality]], [[non-negative|non-negativity]], [[identity of indiscernibles|indiscernability]] and symmetry). This distance metric is also known as the [[variation of information]].&lt;br /&gt;
&lt;br /&gt;
satisfies the properties of a metric (triangle inequality, non-negativity, indiscernability and symmetry). This distance metric is also known as the variation of information.&lt;br /&gt;
&lt;br /&gt;
满足度量的性质（三角形不等式、非负性、不可除性和对称性）。这种距离度量也称为信息的变化。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If &amp;lt;math&amp;gt;X, Y&amp;lt;/math&amp;gt; are discrete random variables then all the entropy terms are non-negative, so &amp;lt;math&amp;gt;0 \le d(X,Y) \le H(X,Y)&amp;lt;/math&amp;gt; and one can define a normalized distance&lt;br /&gt;
&lt;br /&gt;
If 𝑋,𝑌 are discrete random variables then all the entropy terms are non-negative, so 0≤𝑑(𝑋,𝑌)≤𝐻(𝑋,𝑌) and one can define a normalized distance&lt;br /&gt;
&lt;br /&gt;
如果&amp;lt;math&amp;gt;X, Y&amp;lt;/math&amp;gt;是离散随机变量，那么所有熵项都是非负的，因此&amp;lt;math&amp;gt;0 \le d(X,Y) \le H(X,Y)&amp;lt;/math&amp;gt;，可以定义一个标准化距离：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D(X,Y) = \frac{d(X, Y)}{H(X, Y)} \le 1.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The metric &amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt; is a universal metric, in that if any other distance measure places &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; close-by, then the &amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt; will also judge them close.&amp;lt;ref&amp;gt;{{cite journal|arxiv=q-bio/0311039|last1=Kraskov|first1=Alexander|title=Hierarchical Clustering Based on Mutual Information|last2=Stögbauer|first2=Harald|last3= Andrzejak|first3=Ralph G.|last4=Grassberger|first4=Peter|year=2003|bibcode=2003q.bio....11039K}}&amp;lt;/ref&amp;gt;{{dubious|see talk page|date=November 2014}}&lt;br /&gt;
&lt;br /&gt;
The metric 𝐷 is a universal metric, in that if any other distance measure places 𝑋 and 𝑌 close-by, then the 𝐷 will also judge them close.&lt;br /&gt;
&lt;br /&gt;
度量&amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt;是一种通用度量，即如果任何其他距离度量将&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;认为是近的，则&amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt;也将判断它们接近。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Plugging in the definitions shows that&lt;br /&gt;
&lt;br /&gt;
Plugging in the definitions shows that&lt;br /&gt;
&lt;br /&gt;
从如下定义可以看出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D(X,Y) = 1 - \frac{\operatorname{I}(X; Y)}{H(X, Y)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In a set-theoretic interpretation of information (see the figure for [[Conditional entropy]]), this is effectively the [[Jaccard index|Jaccard distance]] between &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
In a set-theoretic interpretation of information (see the figure for Conditional entropy), this is effectively the Jaccard distance between 𝑋 and 𝑌.&lt;br /&gt;
&lt;br /&gt;
在信息的集合论解释中（参见条件熵的图），这实际上就是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;之间的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;杰卡德距离 Jaccard distance&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Finally,&lt;br /&gt;
&lt;br /&gt;
Finally,&lt;br /&gt;
&lt;br /&gt;
最后,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D^\prime(X, Y) = 1 - \frac{\operatorname{I}(X; Y)}{\max\left\{H(X), H(Y)\right\}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
is also a metric.&lt;br /&gt;
&lt;br /&gt;
is also a metric.&lt;br /&gt;
&lt;br /&gt;
也是一种度量标准。&lt;br /&gt;
&lt;br /&gt;
=== 条件互信息 Conditional mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|Conditional mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Sometimes it is useful to express the mutual information of two random variables conditioned on a third.&lt;br /&gt;
&lt;br /&gt;
Sometimes it is useful to express the mutual information of two random variables conditioned on a third.&lt;br /&gt;
&lt;br /&gt;
有时度量两个随机变量在以第三个随机变量为条件的情况下的相互信息也是有意义的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{Equation box 1&lt;br /&gt;
&lt;br /&gt;
|indent =&lt;br /&gt;
&lt;br /&gt;
|title=&lt;br /&gt;
&lt;br /&gt;
|equation = &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \mathbb{E}_Z [D_{\mathrm{KL}}( P_{(X,Y)|Z} \| P_{X|Z} \otimes P_{Y|Z} )]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
|cellpadding= 1&lt;br /&gt;
&lt;br /&gt;
|border&lt;br /&gt;
&lt;br /&gt;
|border colour = #0073CF&lt;br /&gt;
&lt;br /&gt;
|background colour=#F5FFFA}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For jointly [[discrete random variable|discrete random variables]] this takes the form&lt;br /&gt;
&lt;br /&gt;
For jointly discrete random variables this takes the form&lt;br /&gt;
&lt;br /&gt;
对于联合离散随机变量，这采用以下形式：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z)  =  \sum_{z\in \mathcal{Z}} \sum_{y\in \mathcal{Y}} \sum_{x\in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p_Z(z)\, p_{X,Y|Z}(x,y|z) &lt;br /&gt;
&lt;br /&gt;
        \log\left[\frac{p_{X,Y|Z}(x,y|z)}{p_{X|Z}\,(x|z)p_{Y|Z}(y|z)}\right]},&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
可以简化为&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \sum_{z\in \mathcal{Z}} \sum_{y\in \mathcal{Y}} \sum_{x\in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
      p_{X,Y,Z}(x,y,z) \log \frac{p_{X,Y,Z}(x,y,z)p_{Z}(z)}{p_{X,Z}(x,z)p_{Y,Z}(y,z)}.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For jointly [[continuous random variable|continuous random variables]] this takes the form&lt;br /&gt;
&lt;br /&gt;
For jointly continuous random variables this takes the form&lt;br /&gt;
&lt;br /&gt;
对于联合连续的随机变量，其形式为：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z)  =  \int_{\mathcal{Z}} \int_{\mathcal{Y}} \int_{\mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p_Z(z)\, p_{X,Y|Z}(x,y|z) &lt;br /&gt;
&lt;br /&gt;
        \log\left[\frac{p_{X,Y|Z}(x,y|z)}{p_{X|Z}\,(x|z)p_{Y|Z}(y|z)}\right]} dx dy dz,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
可以简化为&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \int_{\mathcal{Z}} \int_{\mathcal{Y}} \int_{\mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
      p_{X,Y,Z}(x,y,z) \log \frac{p_{X,Y,Z}(x,y,z)p_{Z}(z)}{p_{X,Z}(x,z)p_{Y,Z}(y,z)} dx dy dz.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Conditioning on a third random variable may either increase or decrease the mutual information, but it is always true that&lt;br /&gt;
&lt;br /&gt;
Conditioning on a third random variable may either increase or decrease the mutual information, but it is always true that&lt;br /&gt;
&lt;br /&gt;
第三个随机变量的条件作用可能增加或减少互信息，但下式始终是成立的：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I}(X;Y|Z) \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
for discrete, jointly distributed random variables &amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;. This result has been used as a basic building block for proving other [[inequalities in information theory]].&lt;br /&gt;
&lt;br /&gt;
for discrete, jointly distributed random variables &amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;. This result has been used as a basic building block for proving other inequalities in information theory.&lt;br /&gt;
&lt;br /&gt;
对于离散的、联合分布的随机变量&amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;。这一结果被用作证明信息论中其他不等式的基本组成部分。&lt;br /&gt;
&lt;br /&gt;
=== 多元互信息 Multivariate mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|Multivariate mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several generalizations of mutual information to more than two random variables have been proposed, such as [[total correlation]] (or multi-information) and [[interaction information]]. The expression and study of multivariate higher-degree mutual-information was achieved in two seemingly independent works: McGill (1954) &amp;lt;ref&amp;gt;{{cite journal | last1 = McGill| first1 = W. | year = 1954 | title = Multivariate information transmission | journal = Psychometrika | volume = 19 | issue = 1 | pages = 97–116 | doi = 10.1007/BF02289159 }}&amp;lt;/ref&amp;gt; who called these functions “interaction information”, and Hu Kuo Ting (1962) &amp;lt;ref&amp;gt;{{cite journal | last1 = Hu| first1 = K.T. | year = 1962 | title = On the Amount of Information | journal = Theory Probab. Appl. | volume = 7 | issue = 4 |  pages = 439–447 | doi = 10.1137/1107041 }}&amp;lt;/ref&amp;gt; who also first proved the possible negativity of mutual-information for degrees higher than 2 and justified algebraically the intuitive correspondence to Venn diagrams  &amp;lt;ref name=e21090869&amp;gt;{{cite journal | last1 = Baudot | first1 = P. | last2 = Tapia | first2 = M. | last3 = Bennequin | first3 = D. | last4 = Goaillard | first4 = J.M. | year = 2019 | title = Topological Information Data Analysis | doi = 10.3390/e21090869 | journal = Entropy | volume = 21 | issue = 9| at = 869 | bibcode = 2019Entrp..21..869B | arxiv = 1907.04242 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Several generalizations of mutual information to more than two random variables have been proposed, such as total correlation (or multi-information) and interaction information. The expression and study of multivariate higher-degree mutual-information was achieved in two seemingly independent works: McGill (1954)  who called these functions “interaction information”, and Hu Kuo Ting (1962)  who also first proved the possible negativity of mutual-information for degrees higher than 2 and justified algebraically the intuitive correspondence to Venn diagrams  &lt;br /&gt;
&lt;br /&gt;
目前提出了许多将互信息推广到两个以上随机变量的方法，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;全相关 Total correlation&amp;lt;/font&amp;gt;'''（或'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;多信息 Multi-information&amp;lt;/font&amp;gt;'''）以及'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;交互信息 Interaction information&amp;lt;/font&amp;gt;'''。多元高阶互信息的表达和研究是在两部看似独立的著作中实现的：McGill（1954年）在文献[8]中将这些函数统称为“互信息”，胡国亭（1962年）也在文献[9]中首次证明了大于2度的互信息可能是负的，并在文献[10]中用代数的方法证明了互信息和维恩图的直观对应关系。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X_1;X_1) = H(X_1)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
and for &amp;lt;math&amp;gt;n &amp;gt; 1,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and for 𝑛&amp;gt;1,&lt;br /&gt;
&lt;br /&gt;
而对于𝑛&amp;gt;1，有：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X_1;\,...\,;X_n)&lt;br /&gt;
&lt;br /&gt;
 = \operatorname{I}(X_1;\,...\,;X_{n-1}) &lt;br /&gt;
&lt;br /&gt;
    - \operatorname{I}(X_1;\,...\,;X_{n-1}|X_n),&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where (as above) we define&lt;br /&gt;
&lt;br /&gt;
where (as above) we define&lt;br /&gt;
&lt;br /&gt;
综上所述，我们定义：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
I(X_1;\ldots;X_{n-1}|X_{n}) = \mathbb{E}_{X_{n}} [D_{\mathrm{KL}}( P_{(X_1,\ldots,X_{n-1})|X_{n}} \| P_{X_1|X_{n}} \otimes\cdots\otimes P_{X_{n-1}|X_{n}} )].&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(This definition of multivariate mutual information is identical to that of [[interaction information]] except for a change in sign when the number of random variables is odd.)&lt;br /&gt;
&lt;br /&gt;
(This definition of multivariate mutual information is identical to that of interaction information except for a change in sign when the number of random variables is odd.)&lt;br /&gt;
&lt;br /&gt;
（这个多元互信息的定义与互信息的定义相同，对于随机变量的数目为奇数时符号的变化除外。）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== 多元统计独立性 Multivariate statistical independence ====&lt;br /&gt;
&lt;br /&gt;
The multivariate mutual-information functions generalize the pairwise independence case that states that &amp;lt;math&amp;gt;X_1,X_2&amp;lt;/math&amp;gt; if and only if &amp;lt;math&amp;gt;I(X_1;X_2)=0&amp;lt;/math&amp;gt;, to arbitrary numerous variable. n variables are mutually independent if and only if the  &amp;lt;math&amp;gt;2^n-n-1&amp;lt;/math&amp;gt; mutual information functions vanish &amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt;n \ge k \ge 2&amp;lt;/math&amp;gt; (theorem 2  &amp;lt;ref name=e21090869/&amp;gt;). In this sense, the &amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt; can be used as a refined statistical independence criterion.&lt;br /&gt;
&lt;br /&gt;
The multivariate mutual-information functions generalize the pairwise independence case that states that 𝑋1,𝑋2 if and only if 𝐼(𝑋1;𝑋2)=0, to arbitrary numerous variable. n variables are mutually independent if and only if the 2𝑛−𝑛−1 mutual information functions vanish 𝐼(𝑋1;...;𝑋𝑘)=0 with 𝑛≥𝑘≥2 (theorem 2). In this sense, the 𝐼(𝑋1;...;𝑋𝑘)=0 can be used as a refined statistical independence criterion.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
多元互信息函数将&amp;lt;math&amp;gt;I(X_1;X_2)=0&amp;lt;/math&amp;gt;当且仅当&amp;lt;math&amp;gt;X_1,X_2&amp;lt;/math&amp;gt;两两独立的情况推广到任意多变量。即当且仅当&amp;lt;math&amp;gt;2^n-n-1&amp;lt;/math&amp;gt;的互信息函数为&amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt;且math&amp;gt;n \ge k \ge 2&amp;lt;/math&amp;gt;时，n个变量相互独立（定理2）。从这个意义上讲，&amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt;可以用作一个精确的统计独立性标准。&lt;br /&gt;
&lt;br /&gt;
==== 应用 Applications ====&lt;br /&gt;
&lt;br /&gt;
For 3 variables, Brenner et al. applied multivariate mutual information to neural coding and called its negativity &amp;quot;synergy&amp;quot; &amp;lt;ref&amp;gt;{{cite journal | last1 = Brenner | first1 = N. | last2 = Strong | first2 = S. | last3 = Koberle | first3 = R. | last4 = Bialek | first4 = W. | year = 2000 | title = Synergy in a Neural Code | doi = 10.1162/089976600300015259 | pmid = 10935917 | journal = Neural Comput | volume = 12 | issue = 7 | pages = 1531–1552 }}&amp;lt;/ref&amp;gt; and Watkinson et al. applied it to genetic expression &amp;lt;ref&amp;gt;{{cite journal | last1 = Watkinson | first1 = J. | last2 = Liang | first2 = K. | last3 = Wang | first3 = X. | last4 = Zheng | first4 = T.| last5 = Anastassiou | first5 = D. | year = 2009 | title = Inference of Regulatory Gene Interactions from Expression Data Using Three-Way Mutual Information | doi = 10.1111/j.1749-6632.2008.03757.x | pmid = 19348651 | journal = Chall. Syst. Biol. Ann. N. Y. Acad. Sci. | volume = 1158 | issue = 1 | pages = 302–313 | bibcode = 2009NYASA1158..302W | url = https://semanticscholar.org/paper/cb09223a34b08e6dcbf696385d9ab76fd9f37aa4 }}&amp;lt;/ref&amp;gt;. For arbitrary k variables, Tapia et al. applied multivariate mutual information to gene expression  &amp;lt;ref name=s41598&amp;gt;{{cite journal|last1=Tapia|first1=M.|last2=Baudot|first2=P.|last3=Formizano-Treziny|first3=C.|last4=Dufour|first4=M.|last5=Goaillard|first5=J.M.|year=2018|title=Neurotransmitter identity and electrophysiological phenotype are genetically coupled in midbrain dopaminergic neurons|doi= 10.1038/s41598-018-31765-z|pmid=30206240|pmc=6134142|journal=Sci. Rep.|volume=8|issue=1|pages=13637|bibcode=2018NatSR...813637T}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=e21090869/&amp;gt;). It can be zero, positive, or negative &amp;lt;ref&amp;gt;{{cite journal | last1 = Hu| first1 = K.T. | year = 1962 | title = On the Amount of Information | journal = Theory Probab. Appl. | volume = 7 | issue = 4 |  pages = 439–447 | doi = 10.1137/1107041 }}&amp;lt;/ref&amp;gt;. The positivity corresponds to relations generalizing the pairwise correlations, nullity corresponds to a refined notion of independence, and negativity detects high dimensional &amp;quot;emergent&amp;quot; relations and clusterized datapoints &amp;lt;ref name=s41598/&amp;gt;). &lt;br /&gt;
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For 3 variables, Brenner et al. applied multivariate mutual information to neural coding and called its negativity &amp;quot;synergy&amp;quot;  and Watkinson et al. applied it to genetic expression . For arbitrary k variables, Tapia et al. applied multivariate mutual information to gene expression   . '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;The positivity corresponds to relations generalizing the pairwise correlations, nullity corresponds to a refined notion of independence, and negativity detects high dimensional &amp;quot;emergent&amp;quot; relations and clusterized datapoints &amp;lt;/font&amp;gt;'''. &lt;br /&gt;
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对于3个变量，Brenner等人将多变量互信息应用到神经编码中，并将其称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;负面“协同作用” Negativity &amp;quot;synergy&amp;quot;&amp;lt;/font&amp;gt;'''，接着Watkinson 等人将其应用到基因表达上。对于任意k个变量，Tapia 等人将多元互信息应用于基因表达——'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;正性对应于一般化成对相关性的关系，无效性对应于一个精确的独立性概念，负性检测高维“涌现”关系和聚合数据点&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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One high-dimensional generalization scheme which maximizes the mutual information between the joint distribution and other target variables is found to be useful in [[feature selection]].&amp;lt;ref&amp;gt;{{cite book|author1=Christopher D. Manning |author2=Prabhakar Raghavan |author3=Hinrich Schütze | title = An Introduction to Information Retrieval| publisher = [[Cambridge University Press]]| year = 2008| isbn = 978-0-521-86571-5 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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One high-dimensional generalization scheme which maximizes the mutual information between the joint distribution and other target variables is found to be useful in feature selection.&lt;br /&gt;
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目前已经提出了一种能够最大化联合分布与其他目标变量之间的互信息的高维推广方案，该方法可用于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 特征选择 Feature selection&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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Mutual information is also used in the area of signal processing as a [[Similarity measure|measure of similarity]] between two signals. For example, FMI metric&amp;lt;ref&amp;gt;{{cite journal | last1 = Haghighat | first1 = M. B. A. | last2 = Aghagolzadeh | first2 = A. | last3 = Seyedarabi | first3 = H. | year = 2011 | title = A non-reference image fusion metric based on mutual information of image features | doi = 10.1016/j.compeleceng.2011.07.012 | journal = Computers &amp;amp; Electrical Engineering | volume = 37 | issue = 5| pages = 744–756 }}&amp;lt;/ref&amp;gt; is an image fusion performance measure that makes use of mutual information in order to measure the amount of information that the fused image contains about the source images. The [[Matlab]] code for this metric can be found at.&amp;lt;ref&amp;gt;{{cite web|url=http://www.mathworks.com/matlabcentral/fileexchange/45926-feature-mutual-information-fmi-image-fusion-metric|title=Feature Mutual Information (FMI) metric for non-reference image fusion - File Exchange - MATLAB Central|author=|date=|website=www.mathworks.com|accessdate=4 April 2018}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Mutual information is also used in the area of signal processing as a measure of similarity between two signals. For example, FMI metric is an image fusion performance measure that makes use of mutual information in order to measure the amount of information that the fused image contains about the source images. The Matlab code for this metric can be found at.&lt;br /&gt;
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互信息也用于信号处理领域，用来进行两个信号之间的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;相似性度量 Similarity measure&amp;lt;/font&amp;gt;'''。例如，FMI 度量是一种利用互信息来度量融合图像包含的关于源图像的信息量的图像融合性能度量。这个度量的 Matlab 代码可以在参考文献[17]中找到。&lt;br /&gt;
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=== 定向信息 Directed information ===&lt;br /&gt;
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[[Directed information]], &amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&amp;lt;/math&amp;gt;,  measures the amount of information that flows from the process  &amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt; to &amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt; denotes the vector &amp;lt;math&amp;gt;X_1, X_2, ..., X_n&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt; denotes &amp;lt;math&amp;gt;Y_1, Y_2, ..., Y_n&amp;lt;/math&amp;gt;. The term ''directed information'' was coined by [[James Massey]] and is defined as&lt;br /&gt;
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Directed information, I(𝑋𝑛→𝑌𝑛), measures the amount of information that flows from the process 𝑋𝑛 to 𝑌𝑛, where 𝑋𝑛 denotes the vector 𝑋1,𝑋2,...,𝑋𝑛 and 𝑌𝑛 denotes 𝑌1,𝑌2,...,𝑌𝑛. The term directed information was coined by James Massey and is defined as：&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;定向信息 Directed information&amp;lt;/font&amp;gt;'''&amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&amp;lt;/math&amp;gt;度量从&amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt;流向&amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;的过程中的信息量，其中&amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt;表示为向量&amp;lt;math&amp;gt;X_1, X_2, ..., X_n&amp;lt;/math&amp;gt;，&amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;表示为&amp;lt;math&amp;gt;Y_1, Y_2, ..., Y_n&amp;lt;/math&amp;gt;。定向信息这个术语是由 James Massey 创造的，它被定义为：&lt;br /&gt;
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:&amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&lt;br /&gt;
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= \sum_{i=1}^n \operatorname{I}\left(X^i; Y_i|Y^{i-1}\right)&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Note that if &amp;lt;math&amp;gt;n=1&amp;lt;/math&amp;gt;, the directed information becomes the mutual information. Directed information has many applications in problems where [[causality]] plays an important role, such as [[Channel capacity|capacity of channel]] with feedback.&amp;lt;ref&amp;gt;{{cite conference|last1=Massey|first1=James|title=Causality, Feedback And Directed Informatio|date=1990|book-title=Proc. 1990 Intl. Symp. on Info. Th. and its Applications, Waikiki, Hawaii, Nov. 27-30, 1990|citeseerx=10.1.1.36.5688}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal|last1=Permuter|first1=Haim Henry|last2=Weissman|first2=Tsachy|last3=Goldsmith|first3=Andrea J.|title=Finite State Channels With Time-Invariant Deterministic Feedback|journal=IEEE Transactions on Information Theory|date=February 2009|volume=55|issue=2|pages=644–662|doi=10.1109/TIT.2008.2009849|arxiv=cs/0608070}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Note that if 𝑛=1, the directed information becomes the mutual information. Directed information has many applications in problems where causality plays an important role, such as capacity of channel with feedback.&lt;br /&gt;
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注意，当&amp;lt;math&amp;gt;n=1&amp;lt;/math&amp;gt;时，则定向信息成为互信息。定向信息在因果关系问题中有着广泛的应用，如反馈'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;信道容量问题 Channel capacity&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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=== 标准化变形 Normalized variants ===&lt;br /&gt;
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Normalized variants of the mutual information are provided by the ''coefficients of constraint'',{{sfn|Coombs|Dawes|Tversky|1970}} [[uncertainty coefficient]]&amp;lt;ref name=pressflannery&amp;gt;{{Cite book|last1=Press|first1=WH|last2=Teukolsky |first2=SA|last3=Vetterling|first3=WT|last4=Flannery|first4=BP|year=2007|title=Numerical Recipes: The Art of Scientific Computing|edition=3rd|publisher=Cambridge University Press|location=New York|isbn=978-0-521-88068-8|chapter=Section 14.7.3. Conditional Entropy and Mutual Information|chapter-url=http://apps.nrbook.com/empanel/index.html#pg=758}}&amp;lt;/ref&amp;gt; or proficiency:&amp;lt;ref name=JimWhite&amp;gt;{{Cite conference| last1= White |first1= Jim | last2= Steingold | first2=Sam | last3= Fournelle | first3=Connie | title = Performance Metrics for Group-Detection Algorithms | conference = Interface 2004 | url = http://www.interfacesymposia.org/I04/I2004Proceedings/WhiteJim/WhiteJim.paper.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Normalized variants of the mutual information are provided by the coefficients of constraint, uncertainty coefficient or proficiency:&lt;br /&gt;
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互信息的规范化变量由约束系数、不确定系数或熟练程度组成: &lt;br /&gt;
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:&amp;lt;math&amp;gt;&lt;br /&gt;
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C_{XY} = \frac{\operatorname{I}(X;Y)}{H(Y)}&lt;br /&gt;
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~~~~\mbox{和}~~~~ &lt;br /&gt;
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C_{YX} = \frac{\operatorname{I}(X;Y)}{H(X)}.&lt;br /&gt;
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&amp;lt;/math&amp;gt;&lt;br /&gt;
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The two coefficients have a value ranging in [0, 1], but are not necessarily equal. In some cases a symmetric measure may be desired, such as the following ''[[Redundancy (information theory)|redundancy]]''{{Citation needed|date=July 2008}} measure:&lt;br /&gt;
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The two coefficients have a value ranging in [0, 1], but are not necessarily equal. In some cases a symmetric measure may be desired, such as the following redundancy measure:&lt;br /&gt;
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这两个系数的值范围均为[0,1]，但不一定是相等的。在某些情况下，可能需要一个对称的度量，例如下面的冗余度量:&lt;br /&gt;
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:&amp;lt;math&amp;gt;R = \frac{\operatorname{I}(X;Y)}{H(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which attains a minimum of zero when the variables are independent and a maximum value of&lt;br /&gt;
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which attains a minimum of zero when the variables are independent and a maximum value of&lt;br /&gt;
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当变量是独立的时候，它的最小值为零，最大值可以达到：&lt;br /&gt;
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:&amp;lt;math&amp;gt;R_\max = \frac{\min\left\{H(X), H(Y)\right\}}{H(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
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when one variable becomes completely redundant with the knowledge of the other.  See also ''[[Redundancy (information theory)]]''. &lt;br /&gt;
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when one variable becomes completely redundant with the knowledge of the other.  See also Redundancy (information theory). &lt;br /&gt;
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当一个变量与另一个变量的知识完全多余时。参见冗余(信息论)。&lt;br /&gt;
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Another symmetrical measure is the ''symmetric uncertainty'' {{harv|Witten|Frank|2005}}, given by&lt;br /&gt;
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Another symmetrical measure is the symmetric uncertainty , given by&lt;br /&gt;
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另一个对称度量是对称不确定度，由下式表示：&lt;br /&gt;
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:&amp;lt;math&amp;gt;U(X, Y) = 2R = 2\frac{\operatorname{I}(X;Y)}{Ha(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which represents the [[harmonic mean]] of the two uncertainty coefficients &amp;lt;math&amp;gt;C_{XY}, C_{YX}&amp;lt;/math&amp;gt;.&amp;lt;ref name=pressflannery /&amp;gt;&lt;br /&gt;
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which represents the harmonic mean of the two uncertainty coefficients &amp;lt;math&amp;gt;C_{XY}, C_{YX}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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它表示两个不确定系数的调和平均数。&lt;br /&gt;
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If we consider mutual information as a special case of the [[total correlation]] or [[dual total correlation]], the normalized version are respectively,&lt;br /&gt;
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If we consider mutual information as a special case of the total correlation or dual total correlation, the normalized version are respectively,&lt;br /&gt;
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如果我们把互信息看作是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;总相关 Total correlation&amp;lt;/font&amp;gt;'''或'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;对偶总相关 Dual total correlation&amp;lt;/font&amp;gt;'''的特殊情况，则其标准化版本分别为,&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{\operatorname{I}(X;Y)}{\min\left[ H(X),H(Y)\right]}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;\frac{\operatorname{I}(X;Y)}{H(X,Y)} \; .&amp;lt;/math&amp;gt;&lt;br /&gt;
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This normalized version also known as '''Information Quality Ratio (IQR)''' which quantifies the amount of information of a variable based on another variable against total uncertainty:&amp;lt;ref name=DRWijaya&amp;gt;{{Cite journal| last1= Wijaya |first1= Dedy Rahman | last2= Sarno| first2=Riyanarto| last3= Zulaika | first3=Enny| title = Information Quality Ratio as a novel metric for mother wavelet selection| journal = Chemometrics and Intelligent Laboratory Systems| journal = Chemometrics and Intelligent Laboratory Systems| volume = 160| pages = 59–71| doi = 10.1016/j.chemolab.2016.11.012|year= 2017 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This normalized version also known as Information Quality Ratio (IQR) which quantifies the amount of information of a variable based on another variable against total uncertainty:&lt;br /&gt;
这个标准化版本也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;信息质量比率 Information Quality Ratio，IQR&amp;lt;/font&amp;gt;''' ，它根据另一个变量量化了一个变量的信息量，来对抗总的不确定性: &lt;br /&gt;
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:&amp;lt;math&amp;gt;IQR(X, Y) = \operatorname{E}[\operatorname{I}(X;Y)] &lt;br /&gt;
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= \frac{\operatorname{I}(X;Y)}{H(X, Y)} &lt;br /&gt;
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= \frac{\sum_{x \in X} \sum_{y \in Y} p(x, y) \log {p(x)p(y)}}{\sum_{x \in X} \sum_{y \in Y} p(x, y) \log {p(x, y)}} - 1&amp;lt;/math&amp;gt;&lt;br /&gt;
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There's a normalization&amp;lt;ref name=&amp;quot;strehl-jmlr02&amp;quot;&amp;gt;{{cite journal| title = Cluster Ensembles – A Knowledge Reuse Framework for Combining Multiple Partitions| journal = The Journal of Machine Learning Research| pages = 583–617 | volume = 3 | year = 2003| last1 = Strehl | first1 = Alexander | last2 = Ghosh | first2 = Joydeep| doi=10.1162/153244303321897735| url=http://www.jmlr.org/papers/volume3/strehl02a/strehl02a.pdf}}&amp;lt;/ref&amp;gt; which derives from first thinking of mutual information as an analogue to [[covariance]] (thus [[Entropy (information theory)|Shannon entropy]] is analogous to [[variance]]).  Then the normalized mutual information is calculated akin to the [[Pearson product-moment correlation coefficient|Pearson correlation coefficient]],&lt;br /&gt;
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There's a normalization which derives from first thinking of mutual information as an analogue to [[covariance]] (thus [[Entropy (information theory)|Shannon entropy]] is analogous to [[variance]]).  Then the normalized mutual information is calculated akin to the [[Pearson product-moment correlation coefficient|Pearson correlation coefficient]],&lt;br /&gt;
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有一个标准化的名字——它起源于最初把互信息看作是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;协方差 Covariance&amp;lt;/font&amp;gt;'''的类比（因此香农熵类似于方差）。然后计算归一化互信息类似于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;皮尔森相关系数 Pearson product-moment&amp;lt;/font&amp;gt;'''：&lt;br /&gt;
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:&amp;lt;math&amp;gt;&lt;br /&gt;
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\frac{\operatorname{I}(X;Y)}{\sqrt{H(X)H(Y)}}\; .&lt;br /&gt;
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&amp;lt;/math&amp;gt;&lt;br /&gt;
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=== 加权变量 Weighted variants ===&lt;br /&gt;
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In the traditional formulation of the mutual information,&lt;br /&gt;
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In the traditional formulation of the mutual information,&lt;br /&gt;
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在互信息的传统表述中：&lt;br /&gt;
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:&amp;lt;math&amp;gt; \operatorname{I}(X;Y) &lt;br /&gt;
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 = \sum_{y \in Y} \sum_{x \in X} p(x, y) \log \frac{p(x, y)}{p(x)\,p(y)}, &amp;lt;/math&amp;gt;&lt;br /&gt;
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each ''event'' or ''object''  specified by &amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; is weighted by the corresponding  probability &amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;.  This assumes that all objects or events are equivalent ''apart from'' their probability of occurrence.  However, in some applications it may be the case that certain objects or events are more ''significant'' than others, or that certain patterns of association are more semantically important than others.&lt;br /&gt;
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each event or object  specified by &amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; is weighted by the corresponding  probability &amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;.  This assumes that all objects or events are equivalent apart from their probability of occurrence.  However, in some applications it may be the case that certain objects or events are more significant than others, or that certain patterns of association are more semantically important than others.&lt;br /&gt;
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&amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; 指定的每个事件或对象都由相应的概率&amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;进行加权。这假设所有的物体或事件除了发生的概率外都是相等的。然而，在某些应用场景中，某些对象或事件可能比其他对象或事件更重要，或者某些关联模式在语义上比其他模式更重要。&lt;br /&gt;
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&lt;br /&gt;
For example, the deterministic mapping &amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt; may be viewed as stronger than the deterministic mapping &amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;, although these relationships would yield the same mutual information.  This is because the mutual information is not sensitive at all to any inherent ordering in the variable values ({{harvnb|Cronbach|1954}}, {{harvnb|Coombs|Dawes|Tversky|1970}}, {{harvnb|Lockhead|1970}}), and is therefore not sensitive at all to the '''form''' of the relational mapping between the associated variables.  If it is desired that the former relation—showing agreement on all variable values—be judged stronger than the later relation, then it is possible to use the following ''weighted mutual information'' {{harv|Guiasu|1977}}.&lt;br /&gt;
&lt;br /&gt;
For example, the deterministic mapping {(1,1),(2,2),(3,3)} may be viewed as stronger than the deterministic mapping {(1,3),(2,1),(3,2)}, although these relationships would yield the same mutual information. This is because the mutual information is not sensitive at all to any inherent ordering in the variable values, and is therefore not sensitive at all to the form of the relational mapping between the associated variables. If it is desired that the former relation—showing agreement on all variable values—be judged stronger than the later relation, then it is possible to use the following weighted mutual information.&lt;br /&gt;
&lt;br /&gt;
例如，确定性映射&amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt;可能被视为比确定性映射&amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;更强，尽管这些关系产生的互信息是相同的。这是因为互信息对变量值的任何内在顺序都不敏感，因此对关联变量之间的关系映射形式一点也不敏感。如果希望对所有变量值表示一致的前一个关系比后一个关系强，则可以使用以下加权互信息的方法：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; \operatorname{I}(X;Y) = \sum_{y \in Y} \sum_{x \in X} w(x,y) p(x,y) \log \frac{p(x,y)}{p(x)\,p(y)}, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which places a weight &amp;lt;math&amp;gt;w(x,y)&amp;lt;/math&amp;gt; on the probability of each variable value co-occurrence, &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;. This allows that certain probabilities may carry more or less significance than others, thereby allowing the quantification of relevant ''holistic'' or ''[[Prägnanz]]'' factors.  In the above example, using larger relative weights for &amp;lt;math&amp;gt;w(1,1)&amp;lt;/math&amp;gt;, &amp;lt;math&amp;gt;w(2,2)&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;w(3,3)&amp;lt;/math&amp;gt; would have the effect of assessing greater ''informativeness'' for the relation  &amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt; than for the relation &amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;, which may be desirable in some cases of pattern recognition, and the like.  This weighted mutual information is a form of weighted KL-Divergence, which is known to take negative values for some inputs,&amp;lt;ref name=&amp;quot;weighted-kl&amp;quot;&amp;gt;{{cite journal | last1 = Kvålseth | first1 = T. O. | year = 1991 | title = The relative useful information measure: some comments | url = | journal = Information Sciences | volume = 56 | issue = 1| pages = 35–38 | doi=10.1016/0020-0255(91)90022-m}}&amp;lt;/ref&amp;gt; and there are examples where the weighted mutual information also takes negative values.&amp;lt;ref&amp;gt;{{cite dissertation|title=Feature Selection Via Joint Likelihood|first=A. |last=Pocock|year=2012|url=http://www.cs.man.ac.uk/~gbrown/publications/pocockPhDthesis.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which places a weight 𝑤(𝑥,𝑦) on the probability of each variable value co-occurrence, 𝑝(𝑥,𝑦). This allows that certain probabilities may carry more or less significance than others, thereby allowing the quantification of relevant holistic or Prägnanz factors. In the above example, using larger relative weights for 𝑤(1,1), 𝑤(2,2), and 𝑤(3,3) would have the effect of assessing greater informativeness for the relation {(1,1),(2,2),(3,3)} than for the relation {(1,3),(2,1),(3,2)}, which may be desirable in some cases of pattern recognition, and the like. This weighted mutual information is a form of weighted KL-Divergence, which is known to take negative values for some inputs,[24] and there are examples where the weighted mutual information also takes negative values.[25]&lt;br /&gt;
&lt;br /&gt;
设每个变量值同时出现的概率&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;的权重为&amp;lt;math&amp;gt;w(x,y)&amp;lt;/math&amp;gt;。这使得某些概率可能比其他概率具有更多（或更少）的重要性，从而可以量化整个相关的整体或其中的Prägnanz因素。在上面的例子中，对&amp;lt;math&amp;gt;w(1,1)&amp;lt;/math&amp;gt;、&amp;lt;math&amp;gt;w(2,2)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;w(3,3)&amp;lt;/math&amp;gt;使用更大的相对权重与评估关系&amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt;比关系&amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;更大的信息性的效果是一样的，这在一些模式识别等情况下是可行的。这种加权互信息是加权KL散度的一种形式，已知它对某些输入取负值，并且在一些例子中加权互信息也取负值。&lt;br /&gt;
&lt;br /&gt;
=== 调整后的互信息 Adjusted mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|adjusted mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
A probability distribution can be viewed as a [[partition of a set]].  One may then ask: if a set were partitioned randomly, what would the distribution of probabilities be?  What would the expectation value of the mutual information be? The [[adjusted mutual information]] or AMI subtracts the expectation value of the MI, so that the AMI is zero when two different distributions are random, and one when two distributions are identical.  The AMI is defined in analogy to the [[adjusted Rand index]] of two different partitions of a set.&lt;br /&gt;
&lt;br /&gt;
A probability distribution can be viewed as a partition of a set.  One may then ask: if a set were partitioned randomly, what would the distribution of probabilities be?  What would the expectation value of the mutual information be? The adjusted mutual information or AMI subtracts the expectation value of the MI, so that the AMI is zero when two different distributions are random, and one when two distributions are identical.  The AMI is defined in analogy to the adjusted Rand index of two different partitions of a set.&lt;br /&gt;
&lt;br /&gt;
概率分布可以被看作是集合划分。然后有人可能会问: 如果一个集合被随机分割，概率的分布会是什么？相互信息的期望值是什么？我们用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;调整后的互信息 Adjusted mutual information&amp;lt;/font&amp;gt;'''或 AMI 减去 MI 的期望值，这样当两个不同的分布是随机的时候 AMI 为零，当两个分布是相同的时候 AMI 为零。AMI的定义类似于一个集合的两个不同分区的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;调整后的Rand指数 Adjusted Rand index&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
=== 绝对互信息 Absolute mutual information ===&amp;lt;!-- This section is linked from Kolmogorov complexity --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Using the ideas of [[Kolmogorov complexity]], one can consider the mutual information of two sequences independent of any probability distribution:&lt;br /&gt;
&lt;br /&gt;
Using the ideas of Kolmogorov complexity, one can consider the mutual information of two sequences independent of any probability distribution:&lt;br /&gt;
&lt;br /&gt;
利用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;柯氏复杂性 Kolmogorov complexity&amp;lt;/font&amp;gt;'''的思想，我们可以考虑两个序列的互信息，这两个序列独立于任何概率分布序列:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}_K(X;Y) = K(X) - K(X|Y).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
To establish that this quantity is symmetric up to a logarithmic factor (&amp;lt;math&amp;gt;\operatorname{I}_K(X;Y) \approx \operatorname{I}_K(Y;X)&amp;lt;/math&amp;gt;) one requires the [[chain rule for Kolmogorov complexity]] {{Harvard citation|Li|Vitányi|1997}}. Approximations of this quantity via [[Data compression|compression]] can be used to define a [[Metric (mathematics)|distance measure]] to perform a [[hierarchical clustering]] of sequences without having any [[domain knowledge]] of the sequences {{Harvard citation|Cilibrasi|Vitányi|2005}}.&lt;br /&gt;
&lt;br /&gt;
To establish that this quantity is symmetric up to a logarithmic factor (I𝐾(𝑋;𝑌)≈I𝐾(𝑌;𝑋)) one requires the chain rule for Kolmogorov complexity.Approximations of this quantity via compression can be used to define a distance measure to perform a hierarchical clustering of sequences without having any domain knowledge of the sequences.&lt;br /&gt;
&lt;br /&gt;
为了确定这个量在对数因子&amp;lt;math&amp;gt;\operatorname{I}_K(X;Y) \approx \operatorname{I}_K(Y;X)&amp;lt;/math&amp;gt;是对称的，需要'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; Kolmogorov复杂性的链式规则 Chain rule for Kolmogorov complexity&amp;lt;/font&amp;gt;'''。通过压缩对这个量的近似值可以用来定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;距离度量 Distance measure&amp;lt;/font&amp;gt;'''来执行序列的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;层次聚类 Hierarchical clustering&amp;lt;/font&amp;gt;'''，而不需要序列的任何领域知识。&lt;br /&gt;
&lt;br /&gt;
=== 线性相关 Linear correlation ===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Unlike correlation coefficients, such as the [[product moment correlation coefficient]], mutual information contains information about all dependence—linear and nonlinear—and not just linear dependence as the correlation coefficient measures. However, in the narrow case that the joint distribution for &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a [[bivariate normal distribution]] (implying in particular that both marginal distributions are normally distributed), there is an exact relationship between &amp;lt;math&amp;gt;\operatorname{I}&amp;lt;/math&amp;gt; and the correlation coefficient &amp;lt;math&amp;gt;\rho&amp;lt;/math&amp;gt; {{harv|Gel'fand|Yaglom|1957}}.&lt;br /&gt;
&lt;br /&gt;
Unlike correlation coefficients, such as the product moment correlation coefficient, mutual information contains information about all dependence—linear and nonlinear—and not just linear dependence as the correlation coefficient measures. However, in the narrow case that the joint distribution for &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a bivariate normal distribution (implying in particular that both marginal distributions are normally distributed), there is an exact relationship between &amp;lt;math&amp;gt;\operatorname{I}&amp;lt;/math&amp;gt; and the correlation coefficient &amp;lt;math&amp;gt;\rho&amp;lt;/math&amp;gt; .&lt;br /&gt;
&lt;br /&gt;
互信息不同于相关系数，如乘积矩相关系数，互信息包含所有相关信息ーー线性和非线性ーー而不仅仅是相关系数的线性相关。然而，在数学 x / math 和数学 y / math 的联合分布是二元正态分布(特别是边际分布都是正态分布)的狭义情况下，数学运算子{ i } / math 与相关系数 math / rho / math 之间存在精确的关系。&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I} = -\frac{1}{2} \log\left(1 - \rho^2\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The equation above can be derived as follows for a bivariate Gaussian:&lt;br /&gt;
&lt;br /&gt;
The equation above can be derived as follows for a bivariate Gaussian:&lt;br /&gt;
&lt;br /&gt;
对于双变量高斯分布，上面的公式可以推导如下:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\begin{align}&lt;br /&gt;
&lt;br /&gt;
  \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    X_1 \\&lt;br /&gt;
&lt;br /&gt;
    X_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix}  &amp;amp;\sim \mathcal{N} \left( \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    \mu_1 \\&lt;br /&gt;
&lt;br /&gt;
    \mu_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix}, \Sigma \right),\qquad&lt;br /&gt;
&lt;br /&gt;
  \Sigma = \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    \sigma^2_1           &amp;amp; \rho\sigma_1\sigma_2 \\&lt;br /&gt;
&lt;br /&gt;
    \rho\sigma_1\sigma_2 &amp;amp; \sigma^2_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix} \\&lt;br /&gt;
&lt;br /&gt;
       H(X_i) &amp;amp;= \frac{1}{2}\log\left(2\pi e \sigma_i^2\right) = \frac{1}{2} + \frac{1}{2}\log(2\pi) + \log\left(\sigma_i\right), \quad i\in\{1, 2\} \\&lt;br /&gt;
&lt;br /&gt;
  H(X_1, X_2) &amp;amp;= \frac{1}{2}\log\left[(2\pi e)^2|\Sigma|\right] = 1 + \log(2\pi) + \log\left(\sigma_1 \sigma_2\right) + \frac{1}{2}\log\left(1 - \rho^2\right) \\&lt;br /&gt;
&lt;br /&gt;
\end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Therefore, &lt;br /&gt;
&lt;br /&gt;
Therefore, &lt;br /&gt;
&lt;br /&gt;
所以,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
  \operatorname{I}\left(X_1; X_2\right) &lt;br /&gt;
&lt;br /&gt;
= H\left(X_1\right) + H\left(X_2\right) - H\left(X_1, X_2\right)  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= -\frac{1}{2}\log\left(1 - \rho^2\right)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 对于离散数据 For discrete data ===&lt;br /&gt;
&lt;br /&gt;
When &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are limited to be in a discrete number of states, observation data is summarized in a [[contingency table]], with row variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;i&amp;lt;/math&amp;gt;) and column variable &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;j&amp;lt;/math&amp;gt;).  Mutual information is one of the measures of [[association (statistics)|association]] or [[correlation and dependence|correlation]] between the row and column variables.  Other measures of association include [[Pearson's chi-squared test]] statistics, [[G-test]] statistics, etc. In fact, mutual information is equal to [[G-test]] statistics divided by &amp;lt;math&amp;gt;2N&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt; is the sample size.&lt;br /&gt;
&lt;br /&gt;
When 𝑋 and 𝑌 are limited to be in a discrete number of states, observation data is summarized in a contingency table, with row variable 𝑋 (or 𝑖) and column variable 𝑌 (or 𝑗). Mutual information is one of the measures of association or correlation between the row and column variables. Other measures of association include Pearson's chi-squared test statistics, G-test statistics, etc. In fact, mutual information is equal to G-test statistics divided by 2𝑁, where 𝑁 is the sample size.&lt;br /&gt;
&lt;br /&gt;
当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;被限制为离散状态时，观测数据汇总在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;列联表 Contingency table&amp;lt;/font&amp;gt;'''中，列变量为行变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;i&amp;lt;/math&amp;gt;）和列变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;j&amp;lt;/math&amp;gt;）。互信息是行和列变量之间关联或相关性的度量之一。其他关联度量包括Pearson卡方检验统计量、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;G检验 G-test&amp;lt;/font&amp;gt;'''统计量等。事实上，互信息等于G检验统计量除以&amp;lt;math&amp;gt;2N&amp;lt;/math&amp;gt;，其中&amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt;为样本量。&lt;br /&gt;
&lt;br /&gt;
== 应用 Applications ==&lt;br /&gt;
&lt;br /&gt;
In many applications, one wants to maximize mutual information (thus increasing dependencies), which is often equivalent to minimizing [[conditional entropy]].  Examples include:&lt;br /&gt;
&lt;br /&gt;
In many applications, one wants to maximize mutual information (thus increasing dependencies), which is often equivalent to minimizing conditional entropy.  Examples include:&lt;br /&gt;
&lt;br /&gt;
在许多应用场景中，需要最大化互信息（从而增加依赖关系），这通常相当于最小化条件熵。例如:&lt;br /&gt;
&lt;br /&gt;
* In [[search engine technology]], mutual information between phrases and contexts is used as a feature for [[k-means clustering]] to discover semantic clusters (concepts).&amp;lt;ref name=magerman&amp;gt;[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.78.4178&amp;amp;rep=rep1&amp;amp;type=pdf Parsing a Natural Language Using Mutual Information Statistics] by David M. Magerman and Mitchell P. Marcus&amp;lt;/ref&amp;gt;  For example, the mutual information of a bigram might be calculated as:&lt;br /&gt;
&lt;br /&gt;
{{Equation box 1&lt;br /&gt;
&lt;br /&gt;
|indent=::&lt;br /&gt;
&lt;br /&gt;
|equation=&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;MI(x,y) = \log \frac{P_{X,Y}(x,y)}{P_X(x) P_Y(y)} \approx log \frac{\frac{f_{XY}}{B}}{\frac{f_X}{U} \frac{f_Y}{U}} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
|cellpadding= 6&lt;br /&gt;
&lt;br /&gt;
|border&lt;br /&gt;
&lt;br /&gt;
|border colour = #0073CF&lt;br /&gt;
&lt;br /&gt;
|background colour=#F5FFFA}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt; is the number of times the bigram xy appears in the corpus, &amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt; is the number of times the unigram x appears in the corpus, B is the total number of bigrams, and U is the total number of unigrams.&amp;lt;ref name=magerman/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 where &amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt; is the number of times the bigram xy appears in the corpus, &amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt; is the number of times the unigram x appears in the corpus, B is the total number of bigrams, and U is the total number of unigrams.&lt;br /&gt;
&lt;br /&gt;
其中&amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt;是 bigram XY 在语料库中出现的次数，&amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt;是 unigram x 在语料库中出现的次数，b 是 bigrams 的总数，u 是 unigrams 的总数。&lt;br /&gt;
&lt;br /&gt;
* In [[telecommunications]], the [[channel capacity]] is equal to the mutual information, maximized over all input distributions.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In telecommunications, the channel capacity is equal to the mutual information, maximized over all input distributions.&lt;br /&gt;
&lt;br /&gt;
在所有的通信信道中，信息的最大化分配是在所有的通信信道上进行的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Discriminative model|Discriminative training]] procedures for [[hidden Markov model]]s have been proposed based on the [[maximum mutual information]] (MMI) criterion.&lt;br /&gt;
&lt;br /&gt;
Discriminative training procedures for hidden Markov models have been proposed based on the maximum mutual information (MMI) criterion.&lt;br /&gt;
&lt;br /&gt;
现在已经提出了基于最大互信息（MMI）准则的隐马尔可夫模型判别训练方法。&lt;br /&gt;
&lt;br /&gt;
* [[Nucleic acid secondary structure|RNA secondary structure]] prediction from a [[multiple sequence alignment]].&lt;br /&gt;
&lt;br /&gt;
RNA secondary structure prediction from a multiple sequence alignment.&lt;br /&gt;
&lt;br /&gt;
从多序列比对预测RNA二级结构。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Phylogenetic profiling]] prediction from pairwise present and disappearance of functionally link [[gene]]s.&lt;br /&gt;
&lt;br /&gt;
Phylogenetic profiling prediction from pairwise present and disappearance of functionally link genes.&lt;br /&gt;
&lt;br /&gt;
功能连锁基因成对存在与消失的系统发育模式预测。&lt;br /&gt;
&lt;br /&gt;
* Mutual information has been used as a criterion for [[feature selection]] and feature transformations in [[machine learning]]. It can be used to characterize both the relevance and redundancy of variables, such as the [[minimum redundancy feature selection]].&lt;br /&gt;
&lt;br /&gt;
Mutual information has been used as a criterion for feature selection and feature transformations in machine learning. It can be used to characterize both the relevance and redundancy of variables, such as the minimum redundancy feature selection.&lt;br /&gt;
&lt;br /&gt;
在机器学习中，互信息作为特征选择和特征转换的准则。它可以用来表征变量的相关性和冗余性，例如最小冗余特征选择。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Mutual information is used in determining the similarity of two different [[cluster analysis|clusterings]] of a dataset.  As such, it provides some advantages over the traditional [[Rand index]].&lt;br /&gt;
&lt;br /&gt;
Mutual information is used in determining the similarity of two different clusterings of a dataset. As such, it provides some advantages over the traditional Rand index.&lt;br /&gt;
&lt;br /&gt;
互信息用于确定数据集中两个不同聚类的相似性。因此，它与传统的Rand指数相比具有一定的优势。&lt;br /&gt;
&lt;br /&gt;
* Mutual information of words is often used as a significance function for the computation of [[collocation]]s in [[corpus linguistics]]. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt; words of another, goes up with &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Mutual information of words is often used as a significance function for the computation of collocations in corpus linguistics. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within 𝑁 words of another, goes up with 𝑁.&lt;br /&gt;
&lt;br /&gt;
在语料库语言学中，词的互信息常常被用作计算搭配的意义函数。这增加了复杂性，即没有一个单词实例是两个不同单词的实例；相反，我们统计两个单词相邻或非常接近的实例；这稍微使计算复杂化，因为一个单词出现在另一个单词的𝑁单词中的预期概率会增加。&lt;br /&gt;
&lt;br /&gt;
* Mutual information is used in [[medical imaging]] for [[image registration]]. Given a reference image (for example, a brain scan), and a second image which needs to be put into the same [[coordinate system]] as the reference image, this image is deformed until the mutual information between it and the reference image is maximized.&lt;br /&gt;
&lt;br /&gt;
Mutual information is used in medical imaging for image registration. Given a reference image (for example, a brain scan), and a second image which needs to be put into the same coordinate system as the reference image, this image is deformed until the mutual information between it and the reference image is maximized.&lt;br /&gt;
&lt;br /&gt;
在医学成像中，利用互信息进行图像配准。给定一个参考图像（例如，脑部扫描），以及需要将第二个图像放入与参考图像相同的坐标系中，该图像会发生变形，直到其与参考图像之间的互信息最大化。&lt;br /&gt;
&lt;br /&gt;
* Detection of [[phase synchronization]] in [[time series]] analysis&lt;br /&gt;
&lt;br /&gt;
Detection of phase synchronization in time series analysis&lt;br /&gt;
&lt;br /&gt;
时间序列分析中的相位同步检测。&lt;br /&gt;
&lt;br /&gt;
* In the [[infomax]] method for neural-net and other machine learning, including the infomax-based [[Independent component analysis]] algorithm&lt;br /&gt;
&lt;br /&gt;
In the infomax method for neural-net and other machine learning, including the infomax-based Independent component analysis algorithm.&lt;br /&gt;
&lt;br /&gt;
在infomax方法中用于神经网络等机器学习，包括基于infomax的独立分量分析算法&lt;br /&gt;
&lt;br /&gt;
* Average mutual information in [[delay embedding theorem]] is used for determining the ''embedding delay'' parameter.&lt;br /&gt;
&lt;br /&gt;
Average mutual information in delay embedding theorem is used for determining the embedding delay parameter.&lt;br /&gt;
&lt;br /&gt;
利用延迟嵌入定理中的平均互信息确定嵌入延迟参数。&lt;br /&gt;
&lt;br /&gt;
* Mutual information between [[genes]] in [[microarray|expression microarray]] data is used by the ARACNE algorithm for reconstruction of [[gene regulatory network|gene networks]].&lt;br /&gt;
&lt;br /&gt;
Mutual information between genes in expression microarray data is used by the ARACNE algorithm for reconstruction of gene networks.&lt;br /&gt;
&lt;br /&gt;
ARACNE算法利用表达微阵列数据中基因间的互信息来重构基因网络。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* In [[statistical mechanics]], [[Loschmidt's paradox]] may be expressed in terms of mutual information.&amp;lt;ref name=everett56&amp;gt;[[Hugh Everett]] [https://www.pbs.org/wgbh/nova/manyworlds/pdf/dissertation.pdf Theory of the Universal Wavefunction], Thesis, Princeton University, (1956, 1973), pp 1–140 (page 30)&amp;lt;/ref&amp;gt;&amp;lt;ref name=everett57&amp;gt;{{cite journal | last1 = Everett | first1 = Hugh | authorlink = Hugh Everett | year = 1957 | title = Relative State Formulation of Quantum Mechanics | url = http://www.univer.omsk.su/omsk/Sci/Everett/paper1957.html | journal = Reviews of Modern Physics | volume = 29 | issue = 3 | pages = 454–462 | doi = 10.1103/revmodphys.29.454 | bibcode = 1957RvMP...29..454E | access-date = 2012-07-16 | archive-url = https://web.archive.org/web/20111027191052/http://www.univer.omsk.su/omsk/Sci/Everett/paper1957.html | archive-date = 2011-10-27 | url-status = dead }}&amp;lt;/ref&amp;gt; Loschmidt noted that it must be impossible to determine a physical law which lacks [[time reversal symmetry]] (e.g. the [[second law of thermodynamics]]) only from physical laws which have this symmetry. He pointed out that the [[H-theorem]] of [[Boltzmann]] made the assumption that the velocities of particles in a gas  were permanently uncorrelated, which removed the time symmetry inherent in the H-theorem. It can be shown that if a system is described by a probability density in [[phase space]], then [[Liouville's theorem (Hamiltonian)|Liouville's theorem]] implies that the joint information (negative of the joint entropy) of the distribution remains constant in time. The joint information is equal to the mutual information plus the sum of all the marginal information (negative of the marginal entropies) for each particle coordinate. Boltzmann's assumption amounts to ignoring the mutual information in the calculation of entropy, which yields the thermodynamic entropy (divided by Boltzmann's constant).&lt;br /&gt;
&lt;br /&gt;
In statistical mechanics, Loschmidt's paradox may be expressed in terms of mutual information.[27][28] Loschmidt noted that it must be impossible to determine a physical law which lacks time reversal symmetry (e.g. the second law of thermodynamics) only from physical laws which have this symmetry. He pointed out that the H-theorem of Boltzmann made the assumption that the velocities of particles in a gas were permanently uncorrelated, which removed the time symmetry inherent in the H-theorem. It can be shown that if a system is described by a probability density in phase space, then Liouville's theorem implies that the joint information (negative of the joint entropy) of the distribution remains constant in time. The joint information is equal to the mutual information plus the sum of all the marginal information (negative of the marginal entropies) for each particle coordinate. Boltzmann's assumption amounts to ignoring the mutual information in the calculation of entropy, which yields the thermodynamic entropy (divided by Boltzmann's constant).&lt;br /&gt;
&lt;br /&gt;
在统计力学中，Loschmidt悖论可以用相互信息来表示。Loschmidt指出，只有从具有这种对称性的物理定律中确定缺乏时间反转对称性的物理定律（例如热力学第二定律）是不可能的。他指出，玻尔兹曼的H-定理假设气体中粒子的速度是永久不相关的，这就消除了H-定理固有的时间对称性。可以证明，如果系统在相空间中用概率密度来描述，那么Liouville定理意味着分布的联合信息（联合熵的负）在时间上保持不变。关节信息等于互信息加上每个粒子坐标的所有边缘信息（负的边缘熵）之和。玻尔兹曼的假设相当于在熵的计算中忽略了相互信息，从而得到了热力学熵（除以玻尔兹曼常数）。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* The mutual information is used to learn the structure of [[Bayesian network]]s/[[dynamic Bayesian network]]s, which is thought to explain the causal relationship between random variables, as exemplified by the GlobalMIT toolkit:&amp;lt;ref&amp;gt;{{Google Code|globalmit|GlobalMIT}}&amp;lt;/ref&amp;gt; learning the globally optimal dynamic Bayesian network with the Mutual Information Test criterion.&lt;br /&gt;
&lt;br /&gt;
The mutual information is used to learn the structure of Bayesian networks/dynamic Bayesian networks, which is thought to explain the causal relationship between random variables, as exemplified by the GlobalMIT toolkit:[29] learning the globally optimal dynamic Bayesian network with the Mutual Information Test criterion.&lt;br /&gt;
&lt;br /&gt;
互信息用于学习贝叶斯网络/动态贝叶斯网络的结构，被认为是用来解释随机变量之间的因果关系，如GlobalMIT工具包[29]用互信息检验准则学习全局最优动态贝叶斯网络。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Popular cost function in [[decision tree learning]].&lt;br /&gt;
&lt;br /&gt;
Popular cost function in decision tree learning.&lt;br /&gt;
&lt;br /&gt;
作为决策树学习中常用的代价函数。&lt;br /&gt;
&lt;br /&gt;
* The mutual information is used in [[cosmology]] to test the influence of large-scale environments on galaxy properties in the [[Galaxy Zoo]].&lt;br /&gt;
&lt;br /&gt;
The mutual information is used in cosmology to test the influence of large-scale environments on galaxy properties in the Galaxy Zoo.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;星系 Galaxy Zoo&amp;lt;/font&amp;gt;'''中，利用互信息在宇宙学中测试大尺度环境对星系性质的影响。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* The mutual information was used in [[Solar Physics]]  to derive the solar [[differential rotation]] profile, a travel-time deviation map for sunspots, and a time–distance diagram from quiet-Sun measurements&amp;lt;ref&amp;gt;{{cite journal|last1=Keys|first1=Dustin|last2=Kholikov|first2=Shukur|last3=Pevtsov|first3=Alexei A.|title=Application of Mutual Information Methods in Time Distance Helioseismology|journal=Solar Physics|date=February 2015|volume=290|issue=3|pages=659–671|doi=10.1007/s11207-015-0650-y|arxiv=1501.05597|bibcode=2015SoPh..290..659K}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The mutual information was used in Solar Physics to derive the solar differential rotation profile, a travel-time deviation map for sunspots, and a time–distance diagram from quiet-Sun measurements.&lt;br /&gt;
&lt;br /&gt;
在太阳物理学中，相互信息被用于推导太阳差分自转剖面图、太阳黑子的旅行时间偏差图和安静太阳测量的时间-距离图。&lt;br /&gt;
&lt;br /&gt;
* Used in Invariant Information Clustering to automatically train neural network classifiers and image segmenters given no labelled data.&amp;lt;ref name=iic&amp;gt;[https://arxiv.org/abs/1807.06653 Invariant Information Clustering for Unsupervised Image Classification and Segmentation] by Xu Ji, Joao Henriques and Andrea Vedaldi&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Used in Invariant Information Clustering to automatically train neural network classifiers and image segmenters given no labelled data.&lt;br /&gt;
&lt;br /&gt;
用于不变信息聚类，在没有标记数据的情况下自动训练神经网络分类器和图像分割器。&lt;br /&gt;
&lt;br /&gt;
== 参见 See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Pointwise mutual information]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Quantum mutual information]]&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）记得翻译一下这里&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）记得图片以及专业名词的标准格式~以及see also的完整&lt;br /&gt;
&lt;br /&gt;
== 注释 Notes ==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;br /&gt;
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&lt;br /&gt;
== 参考资料 References ==&lt;br /&gt;
&lt;br /&gt;
* {{cite journal|last1=Baudot|first1=P.|last2=Tapia|first2=M.|last3=Bennequin|first3=D.|last4=Goaillard|first4=J.M.|title=Topological Information Data Analysis|journal=Entropy|volume=21|issue=9|at=869|year=2019|doi= 10.3390/e21090869|bibcode=2019Entrp..21..869B|arxiv=1907.04242}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* {{cite journal&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
  | last1 = Cilibrasi&lt;br /&gt;
&lt;br /&gt;
  | last1 = Cilibrasi&lt;br /&gt;
&lt;br /&gt;
1塞利布拉西&lt;br /&gt;
&lt;br /&gt;
  | first1 = R.&lt;br /&gt;
&lt;br /&gt;
  | first1 = R.&lt;br /&gt;
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1 r.&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
| first2保罗&lt;br /&gt;
&lt;br /&gt;
  | last2 = Vitányi&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
压缩聚类&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
美国电气和电子工程师协会信息理论杂志&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | volume = 51&lt;br /&gt;
&lt;br /&gt;
第51卷&lt;br /&gt;
&lt;br /&gt;
  | issue = 4&lt;br /&gt;
&lt;br /&gt;
  | issue = 4&lt;br /&gt;
&lt;br /&gt;
第四期&lt;br /&gt;
&lt;br /&gt;
  | pages = 1523–1545&lt;br /&gt;
&lt;br /&gt;
  | pages = 1523–1545&lt;br /&gt;
&lt;br /&gt;
第1523-1545页&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | year = 2005&lt;br /&gt;
&lt;br /&gt;
2005年&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | url = http://www.cwi.nl/~paulv/papers/cluster.pdf&lt;br /&gt;
&lt;br /&gt;
Http://www.cwi.nl/~paulv/papers/cluster.pdf&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
不会有事的&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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* {{cite journal|first1=I.M.|last1=Gel'fand|first2=A.M.|last2=Yaglom|year=1957|title=Calculation of amount of information about a random function contained in another such function|journal= American Mathematical Society Translations: Series 2 |volume = 12 | pages = 199–246 |ref=harv}} English translation of original in ''Uspekhi Matematicheskikh Nauk'' '''12'''&amp;amp;nbsp;(1):&amp;amp;nbsp;3-52.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
* {{cite book&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
  | last1 = Li&lt;br /&gt;
&lt;br /&gt;
  | last1 = Li&lt;br /&gt;
&lt;br /&gt;
最后一个李&lt;br /&gt;
&lt;br /&gt;
  | first1 = Ming&lt;br /&gt;
&lt;br /&gt;
  | first1 = Ming&lt;br /&gt;
&lt;br /&gt;
1 Ming&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
| first2保罗&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
标题: 柯氏复杂性及其应用介绍&lt;br /&gt;
&lt;br /&gt;
  | location = New York&lt;br /&gt;
&lt;br /&gt;
  | location = New York&lt;br /&gt;
&lt;br /&gt;
| 地点: 纽约&lt;br /&gt;
&lt;br /&gt;
  | publisher = [[Springer-Verlag]]&lt;br /&gt;
&lt;br /&gt;
  | publisher = Springer-Verlag&lt;br /&gt;
&lt;br /&gt;
| 出版商 Springer-Verlag&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  |date=February 1997&lt;br /&gt;
&lt;br /&gt;
1997年2月&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | isbn = 978-0-387-94868-3&lt;br /&gt;
&lt;br /&gt;
[国际标准图书编号978-0-387-94868-3]&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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| ref harv }&lt;br /&gt;
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* [[Athanasios Papoulis]]. ''Probability, Random Variables, and Stochastic Processes'', second edition. New York: McGraw-Hill, 1984. ''(See Chapter 15.)''&lt;br /&gt;
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* {{cite journal|author=Peng, H.C. |author2=Long, F. |author3=Ding, C. |lastauthoramp=yes |title=Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy|journal=IEEE Transactions on Pattern Analysis and Machine Intelligence|volume=27|issue=8|pages=1226–1238|year=2005|url=http://research.janelia.org/peng/proj/mRMR/index.htm|doi=10.1109/tpami.2005.159|pmid=16119262|citeseerx=10.1.1.63.5765}}&lt;br /&gt;
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* {{cite journal|author1=Andre S. Ribeiro |author2=Stuart A. Kauffman |author3=Jason Lloyd-Price |author4=Bjorn Samuelsson |author5=Joshua Socolar  |last-author-amp=yes |year=2008|title=Mutual Information in Random Boolean models of regulatory networks|journal=Physical Review E|volume=77|issue=1|pages=011901 |arxiv=0707.3642|doi=10.1103/physreve.77.011901 |pmid=18351870 |bibcode=2008PhRvE..77a1901R}}&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
  | last1 = Wells&lt;br /&gt;
&lt;br /&gt;
  | last1 = Wells&lt;br /&gt;
&lt;br /&gt;
1 Wells&lt;br /&gt;
&lt;br /&gt;
  | first1 = W.M. III&lt;br /&gt;
&lt;br /&gt;
  | first1 = W.M. III&lt;br /&gt;
&lt;br /&gt;
首先是 w.m。三&lt;br /&gt;
&lt;br /&gt;
  | last2 = Viola&lt;br /&gt;
&lt;br /&gt;
  | last2 = Viola&lt;br /&gt;
&lt;br /&gt;
2 Viola&lt;br /&gt;
&lt;br /&gt;
  | first2 = P.&lt;br /&gt;
&lt;br /&gt;
  | first2 = P.&lt;br /&gt;
&lt;br /&gt;
| first2 p.&lt;br /&gt;
&lt;br /&gt;
  | last3 = Atsumi&lt;br /&gt;
&lt;br /&gt;
  | last3 = Atsumi&lt;br /&gt;
&lt;br /&gt;
3 Atsumi&lt;br /&gt;
&lt;br /&gt;
  | first3 = H.&lt;br /&gt;
&lt;br /&gt;
  | first3 = H.&lt;br /&gt;
&lt;br /&gt;
第一个3 h。&lt;br /&gt;
&lt;br /&gt;
  | last4 = Nakajima&lt;br /&gt;
&lt;br /&gt;
  | last4 = Nakajima&lt;br /&gt;
&lt;br /&gt;
| 最后4名中岛&lt;br /&gt;
&lt;br /&gt;
  | first4 = S.&lt;br /&gt;
&lt;br /&gt;
  | first4 = S.&lt;br /&gt;
&lt;br /&gt;
4 s.&lt;br /&gt;
&lt;br /&gt;
  | last5 = Kikinis&lt;br /&gt;
&lt;br /&gt;
  | last5 = Kikinis&lt;br /&gt;
&lt;br /&gt;
最后5个 Kikinis&lt;br /&gt;
&lt;br /&gt;
  | first5 = R.&lt;br /&gt;
&lt;br /&gt;
  | first5 = R.&lt;br /&gt;
&lt;br /&gt;
| first5 r.&lt;br /&gt;
&lt;br /&gt;
  | title = Multi-modal volume registration by maximization of mutual information&lt;br /&gt;
&lt;br /&gt;
  | title = Multi-modal volume registration by maximization of mutual information&lt;br /&gt;
&lt;br /&gt;
最大化互信息的多模态卷注册&lt;br /&gt;
&lt;br /&gt;
  | journal = Medical Image Analysis&lt;br /&gt;
&lt;br /&gt;
  | journal = Medical Image Analysis&lt;br /&gt;
&lt;br /&gt;
医学图像分析&lt;br /&gt;
&lt;br /&gt;
  | volume = 1&lt;br /&gt;
&lt;br /&gt;
  | volume = 1&lt;br /&gt;
&lt;br /&gt;
第一卷&lt;br /&gt;
&lt;br /&gt;
  | issue = 1&lt;br /&gt;
&lt;br /&gt;
  | issue = 1&lt;br /&gt;
&lt;br /&gt;
第一期&lt;br /&gt;
&lt;br /&gt;
  | pages = 35–51&lt;br /&gt;
&lt;br /&gt;
  | pages = 35–51&lt;br /&gt;
&lt;br /&gt;
第35-51页&lt;br /&gt;
&lt;br /&gt;
  | year = 1996&lt;br /&gt;
&lt;br /&gt;
  | year = 1996&lt;br /&gt;
&lt;br /&gt;
1996年&lt;br /&gt;
&lt;br /&gt;
  | pmid = 9873920&lt;br /&gt;
&lt;br /&gt;
  | pmid = 9873920&lt;br /&gt;
&lt;br /&gt;
9873920&lt;br /&gt;
&lt;br /&gt;
  | doi = 10.1016/S1361-8415(01)80004-9&lt;br /&gt;
&lt;br /&gt;
  | doi = 10.1016/S1361-8415(01)80004-9&lt;br /&gt;
&lt;br /&gt;
| doi 10.1016 / S1361-8415(01)80004-9&lt;br /&gt;
&lt;br /&gt;
  | url = http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | url = http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
Http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | ref = harv&lt;br /&gt;
&lt;br /&gt;
  | ref = harv&lt;br /&gt;
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不会有事的&lt;br /&gt;
&lt;br /&gt;
  | access-date = 2010-08-05&lt;br /&gt;
&lt;br /&gt;
  | access-date = 2010-08-05&lt;br /&gt;
&lt;br /&gt;
2010-08-05&lt;br /&gt;
&lt;br /&gt;
  | archive-url = https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | archive-url = https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
| 档案-网址 https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | archive-date = 2008-09-06&lt;br /&gt;
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  | archive-date = 2008-09-06&lt;br /&gt;
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2008-09-06&lt;br /&gt;
&lt;br /&gt;
  | url-status = dead&lt;br /&gt;
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  | url-status = dead&lt;br /&gt;
&lt;br /&gt;
状态死机&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
* {{cite journal | last1 = Pandey | first1 = Biswajit | last2 = Sarkar | first2 = Suman | year = 2017 | title = How much a galaxy knows about its large-scale environment?: An information theoretic perspective | url = | journal = Monthly Notices of the Royal Astronomical Society Letters| volume = 467 | issue = 1| page = L6 | doi=10.1093/mnrasl/slw250| arxiv = 1611.00283| bibcode = 2017MNRAS.467L...6P}}&lt;br /&gt;
&lt;br /&gt;
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[[Category:Information theory]]&lt;br /&gt;
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Category:Information theory&lt;br /&gt;
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范畴: 信息论&lt;br /&gt;
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[[Category:Entropy and information]]&lt;br /&gt;
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Category:Entropy and information&lt;br /&gt;
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类别: 熵和信息&lt;br /&gt;
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&amp;lt;noinclude&amp;gt;&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Mutual information]]. Its edit history can be viewed at [[互信息/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E4%BA%92%E4%BF%A1%E6%81%AF&amp;diff=13095</id>
		<title>互信息</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E4%BA%92%E4%BF%A1%E6%81%AF&amp;diff=13095"/>
		<updated>2020-08-20T16:15:24Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* 关于离散分布的PMF In terms of PMFs for discrete distributions */&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{Information theory}}&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）在篇首注明由谁谁翻译生产~&lt;br /&gt;
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[[File:Entropy-mutual-information-relative-entropy-relation-diagram.svg|thumb|256px|right|[[Venn diagram]] showing additive and subtractive relationships various information measures associated with correlated variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. The area contained by both circles is the [[joint entropy]] &lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）图片应该按照[图1：英文+中文]&lt;br /&gt;
&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;. The circle on the left (red and violet) is the [[Entropy (information theory)|individual entropy]] &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;, with the red being the [[conditional entropy]] &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;. The circle on the right (blue and violet) is &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;, with the blue being &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;. The violet is the [[mutual information]] &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;.  这里的维恩图显示了各种信息间的交并补运算关系关系，这些信息都可以用来度量变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的各种相关性。图中所有面积（包括两个圆圈）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''联合熵 Joint entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;。左侧的整个圆圈表示变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''独立熵 Individual entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;，红色（差集）部分表示X的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''条件熵 Conditional entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;。右侧的整个圆圈表示变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的独立熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;，蓝色（差集）部分表示X的条件熵&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;。两个圆中间的交集部分（紫色的部分）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''互信息 Mutual information，MI'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;）。]]&lt;br /&gt;
&lt;br /&gt;
Venn diagram showing additive and subtractive relationships various information measures associated with correlated variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. The area contained by both circles is the joint entropy &amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;. The circle on the left (red and violet) is the individual entropy &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;, with the red being the conditional entropy &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;. The circle on the right (blue and violet) is &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;, with the blue being &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;. The violet is the mutual information &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Venn diagram showing additive and subtractive relationships various information measures associated with correlated variables 𝑋 and 𝑌. The area contained by both circles is the joint entropy H(𝑋,𝑌). The circle on the left (red and violet) is the individual entropy H(𝑋), with the red being the conditional entropy H(𝑋|𝑌). The circle on the right (blue and violet) is H(𝑌), with the blue being H(𝑌|𝑋). The violet is the mutual information I(𝑋;𝑌).&lt;br /&gt;
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这里的维恩图显示了各种信息间的交并补运算关系关系，这些信息都可以用来度量变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的各种相关性。图中所有面积（包括两个圆圈）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''联合熵 Joint entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;。左侧的整个圆圈表示变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''独立熵 Individual entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;，红色（差集）部分表示X的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''条件熵 Conditional entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;。右侧的整个圆圈表示变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的独立熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;，蓝色（差集）部分表示X的条件熵&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;。两个圆中间的交集部分（紫色的部分）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''互信息 Mutual information，MI'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;）。&lt;br /&gt;
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In [[probability theory]] and [[information theory]], the '''mutual information''' ('''MI''') of two [[random variable]]s is a measure of the mutual [[Statistical dependence|dependence]] between the two variables. More specifically, it quantifies the &amp;quot;amount of information&amp;quot; (in [[unit of measurement|unit]]s such as [[shannon (unit)|shannon]]s, commonly called bits) obtained about one random variable through observing the other random variable.  The concept of mutual information is intricately linked to that of [[Entropy (information theory)|entropy]] of a random variable, a fundamental notion in information theory that quantifies the expected &amp;quot;[[Information content|amount of information]]&amp;quot; held in a random variable.&lt;br /&gt;
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In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically, it quantifies the &amp;quot;amount of information&amp;quot; (in units such as shannons, commonly called bits) obtained about one random variable through observing the other random variable.  The concept of mutual information is intricately linked to that of entropy of a random variable, a fundamental notion in information theory that quantifies the expected &amp;quot;amount of information&amp;quot; held in a random variable.&lt;br /&gt;
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在&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''概率论 Probability theory'''&amp;lt;/font&amp;gt;和&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''信息论 Information theory'''&amp;lt;/font&amp;gt;理论中，两个随机变量的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''互信息 Mutual Information，MI'''&amp;lt;/font&amp;gt;是两个变量之间相互依赖程度的度量。更具体地说，它量化了通过观察一个随机变量而可以获得的关于另一个随机变量的“信息量”（单位如''香农 Shannons''，通常称为比特）。互信息的概念与随机变量的熵之间有着错综复杂的联系，熵是信息论中的一个基本概念，它量化了随机变量中所包含的预期“信息量”。&lt;br /&gt;
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Not limited to real-valued random variables and linear dependence like the [[correlation coefficient]], MI is more general and determines how different the [[joint distribution]] of the pair &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; is to the product of the marginal distributions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. MI is the [[expected value]] of the [[pointwise mutual information]] (PMI).&lt;br /&gt;
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Not limited to real-valued random variables and linear dependence like the correlation coefficient, MI is more general and determines how different the joint distribution of the pair &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; is to the product of the marginal distributions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. MI is the expected value of the pointwise mutual information (PMI).&lt;br /&gt;
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不仅限于实值随机变量和线性依赖之类的的相关系数，互信息表示的关系其实更加普遍，它决定了一对变量&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;的联合分布与&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''边缘分布 Marginal distributions'''&amp;lt;/font&amp;gt;之积的不同程度。互信息是'''点互信息 Pointwise mutual information，PMI'''的期望值。&lt;br /&gt;
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Mutual Information is also known as [[information gain]].&lt;br /&gt;
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Mutual Information is also known as information gain.&lt;br /&gt;
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互信息也称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''信息增益 Information gain'''&amp;lt;/font&amp;gt;。&lt;br /&gt;
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== 定义 Definition ==&lt;br /&gt;
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Let &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; be a pair of random variables with values over the space &amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;. If their joint distribution is &amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt; and the marginal distributions are &amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;, the mutual information is defined as&lt;br /&gt;
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Let &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; be a pair of random variables with values over the space &amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;. If their joint distribution is &amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt; and the marginal distributions are &amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;, the mutual information is defined as&lt;br /&gt;
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设一对随机变量&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;的参数空间为&amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;。若它们之间的的联合概率分布为&amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt;，边缘分布分别为&amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;，则它们之间的互信息定义为：&lt;br /&gt;
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[[文件:MI pic1.png|左|缩略图]]&lt;br /&gt;
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where &amp;lt;math&amp;gt;D_{\mathrm{KL}}&amp;lt;/math&amp;gt; is the [[Kullback–Leibler divergence]].&lt;br /&gt;
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其中&amp;lt;math&amp;gt;D_{\mathrm{KL}}&amp;lt;/math&amp;gt;表示&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''相对熵 Relative entropy，又称Kullback-Leibler散度'''&amp;lt;/font&amp;gt;。&lt;br /&gt;
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Notice, as per property of the [[Kullback–Leibler divergence]], that &amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt; is equal to zero precisely when the joint distribution coincides with the product of the marginals, i.e. when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent (and hence observing &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; tells you nothing about &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;In general &amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt; is non-negative, it is a measure of the price for encoding &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; as a pair of independent random variables, when in reality they are not.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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需要注意的是，根据Kullback–Leibler散度的性质，当两个随机变量的联合分布与其分别的边缘分布的乘积相等时，即当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相互独立的时，&amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt;等于零（因此已知&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的信息并不能得到任何关于&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的信息）。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;一般来说，&amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt;是非负的，因为它是将&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;作为一对独立随机变量来编码进而来进行价格（价值）度量的，但实际上它们并不一定是非负的。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
== 关于离散分布的PMF In terms of PMFs for discrete distributions ==&lt;br /&gt;
&lt;br /&gt;
The mutual information of two jointly discrete random variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is calculated as a double sum:&amp;lt;ref name=cover1991&amp;gt;{{cite book|last1=Cover|first1=T.M.|last2=Thomas|first2=J.A.|title=Elements of Information Theory|url=https://archive.org/details/elementsofinform0000cove|url-access=registration|date=1991|isbn=978-0-471-24195-9|edition=Wiley}}&amp;lt;/ref&amp;gt;{{rp|20}}&lt;br /&gt;
&lt;br /&gt;
The mutual information of two jointly discrete random variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is calculated as a double sum:&lt;br /&gt;
&lt;br /&gt;
两个联合分布的离散型随机变量X和Y的互信息计算表现为双和的形式：&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic2.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is the [[joint distribution|joint probability ''mass'' function]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the [[marginal probability]] mass functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is the joint probability mass function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability mass functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;概率质量函数 Probability mass functions&amp;lt;/font&amp;gt;'''，而&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt;分别是数学&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边缘概率质量函数 Marginal probability mass functions&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意首字母大写&lt;br /&gt;
&lt;br /&gt;
== 连续分布的PDF In terms of PDFs for continuous distributions ==&lt;br /&gt;
&lt;br /&gt;
In the case of jointly continuous random variables, the double sum is replaced by a [[double integral]]:&amp;lt;ref name=cover1991 /&amp;gt;{{rp|251}}&lt;br /&gt;
&lt;br /&gt;
In the case of jointly continuous random variables, the double sum is replaced by a double integral:&lt;br /&gt;
&lt;br /&gt;
在联合分布的随机变量为连续型的情况下，公式中的二重求和用二重积分代替:&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic3.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is now the joint probability ''density'' function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability density functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is now the joint probability density function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability density functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
式中，&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的联合概率密度函数，而&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt;分别是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边缘概率密度函数 Probability density function&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If the [[Logarithm|log base]] 2 is used, the units of mutual information are [[bit|bits]].&lt;br /&gt;
&lt;br /&gt;
If the log base 2 is used, the units of mutual information are bits.&lt;br /&gt;
&lt;br /&gt;
如果以2为底取对数，则互信息的单位为''位 bit''。&lt;br /&gt;
&lt;br /&gt;
== 动机 Motivation ==&lt;br /&gt;
&lt;br /&gt;
Intuitively, mutual information measures the information that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; share: It measures how much knowing one of these variables reduces uncertainty about the other. For example, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does not give any information about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa, so their mutual information is zero.  At the other extreme, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; then all information conveyed by &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is shared with &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; determines the value of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa. As a result, in this case the mutual information is the same as the uncertainty contained in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) alone, namely the [[information entropy|entropy]] of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). Moreover, this mutual information is the same as the entropy of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and as the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. (A very special case of this is when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are the same random variable.)&lt;br /&gt;
&lt;br /&gt;
Intuitively, mutual information measures the information that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; share: It measures how much knowing one of these variables reduces uncertainty about the other. For example, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does not give any information about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa, so their mutual information is zero.  At the other extreme, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; then all information conveyed by &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is shared with &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; determines the value of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa. As a result, in this case the mutual information is the same as the uncertainty contained in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) alone, namely the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). Moreover, this mutual information is the same as the entropy of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and as the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. (A very special case of this is when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are the same random variable.)&lt;br /&gt;
&lt;br /&gt;
直观地说，相互信息衡量了&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的信息共享程度：它衡量了当已知其中一个变量后可以减少另一个变量多少的不确定性。例如，若&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相互独立的，那么已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;不会得到关于&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的任何信息，反之亦然，因此它们之间的互信息为零。而另一种极端情况就是，若&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;确定函数&amp;lt;/font&amp;gt;'''，而&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;也是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;自身的确定函数，则&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;传递的所有信息都与&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;共享：即已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;就可以知道&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的值，反之亦然。因此，在这种情况下，互信息与仅包含在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;）中的不确定性相同，即&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;）的熵相同。此外，这种情况下互信息与&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的熵和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的熵相同。（一个非常特殊的情况是当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相同的随机变量。）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Mutual information is a measure of the inherent dependence expressed in the [[joint distribution]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; relative to the joint distribution of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; under the assumption of independence. Mutual information therefore measures dependence in the following sense: &amp;lt;math&amp;gt;\operatorname{I}(X;Y)=0&amp;lt;/math&amp;gt; [[if and only if]] &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent random variables.  This is easy to see in one direction: if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then &amp;lt;math&amp;gt;p_{(X,Y)}(x,y)=p_X(x) \cdot p_Y(y)&amp;lt;/math&amp;gt;, and therefore:&lt;br /&gt;
&lt;br /&gt;
Mutual information is a measure of the inherent dependence expressed in the joint distribution of 𝑋 and 𝑌 relative to the joint distribution of 𝑋 and 𝑌 under the assumption of independence. Mutual information therefore measures dependence in the following sense: I(𝑋;𝑌)=0 if and only if 𝑋 and 𝑌 are independent random variables. This is easy to see in one direction: if 𝑋 and 𝑌 are independent, then 𝑝(𝑋,𝑌)(𝑥,𝑦)=𝑝𝑋(𝑥)⋅𝑝𝑌(𝑦), and therefore:&lt;br /&gt;
&lt;br /&gt;
互信息是在独立假设下，&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的联合分布相对于其内在相关性的度量。因此互信息是在以下条件下定义相关性的：&amp;lt;math&amp;gt;\operatorname{I}(X;Y)=0&amp;lt;/math&amp;gt;当且仅当&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是独立随机变量时。这很容易从一个方向看出：如果&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是独立的，那么&amp;lt;math&amp;gt;p_{(X,Y)}(x,y)=p_X(x) \cdot p_Y(y)&amp;lt;/math&amp;gt;，因此：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; \log{ \left( \frac{p_{(X,Y)}(x,y)}{p_X(x)\,p_Y(y)} \right) } = \log 1 = 0 .&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Moreover, mutual information is nonnegative (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt; see below) and [[Symmetric function|symmetric]] (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt; see below).&lt;br /&gt;
&lt;br /&gt;
Moreover, mutual information is nonnegative (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt; see below) and symmetric (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt; see below).&lt;br /&gt;
&lt;br /&gt;
此外，互信息是非负的（例如：（&amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt;，见下文）和对称的（即&amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt;，见下文）。&lt;br /&gt;
&lt;br /&gt;
== 与其他量的关系 Relation to other quantities ==&lt;br /&gt;
&lt;br /&gt;
=== 非负性 Nonnegativity ===&lt;br /&gt;
&lt;br /&gt;
Using [[Jensen's inequality]] on the definition of mutual information we can show that &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, i.e.&amp;lt;ref name=cover1991 /&amp;gt;{{rp|28}}&lt;br /&gt;
&lt;br /&gt;
Using Jensen's inequality on the definition of mutual information we can show that &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, i.e.&lt;br /&gt;
&lt;br /&gt;
利用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;琴生不等式 Jensen's inequality&amp;lt;/font&amp;gt;'''对互信息的定义进行推导，我们可以证明&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;是非负的，即:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 对称性 Symmetry===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 条件熵与联合熵的关系 Relation to conditional and joint entropy ===&lt;br /&gt;
&lt;br /&gt;
Mutual information can be equivalently expressed as:&lt;br /&gt;
&lt;br /&gt;
Mutual information can be equivalently expressed as:&lt;br /&gt;
&lt;br /&gt;
互信息也可以等价地表示为:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic4.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt; are the marginal [[information entropy|entropies]], &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt; are the [[conditional entropy|conditional entropies]], and &amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt; is the [[joint entropy]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
其中&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边际熵 Marginal entropy&amp;lt;/font&amp;gt;'''，&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;表示'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;条件熵 Conditional entropy&amp;lt;/font&amp;gt;'''，&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合熵 Joint entropy&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Notice the analogy to the union, difference, and intersection of two sets: in this respect, all the formulas given above are apparent from the Venn diagram reported at the beginning of the article.&lt;br /&gt;
&lt;br /&gt;
注意两个集合的并集、差集和交集的类比：在这方面，上面给出的所有公式都可以从文章开头的维恩图中看出。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In terms of a communication channel in which the output &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a noisy version of the input &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;, these relations are summarised in the figure:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
就输出&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是输入&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的噪声版本的通信信道而言，这些关系如图中总结所示：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:Figchannel2017ab.svg|thumb| The relationships between information theoretic quantities 信息论量之间的关系]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Because &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, consequently, &amp;lt;math&amp;gt;H(X) \ge H(X|Y)&amp;lt;/math&amp;gt;. Here we give the detailed deduction of &amp;lt;math&amp;gt;\operatorname{I}(X;Y)=H(Y)-H(Y|X)&amp;lt;/math&amp;gt; for the case of jointly discrete random variables:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
因为&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;是非负的，因此&amp;lt;math&amp;gt;H(X) \ge H(X|Y)&amp;lt;/math&amp;gt;。这里我们给出了联合离散随机变量情形下结论&amp;lt;math&amp;gt;\operatorname{I}(X;Y)=H(Y)-H(Y|X)&amp;lt;/math&amp;gt;的详细推导过程：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic5.png|居中|800px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The proofs of the other identities above are similar. The proof of the general case (not just discrete) is similar, with integrals replacing sums.&lt;br /&gt;
&lt;br /&gt;
同理，上述其他恒等式的证明方法都是是相似的。一般情况(不仅仅是离散情况)的证明是类似的，用积分代替求和。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Intuitively, if entropy &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt; is regarded as a measure of uncertainty about a random variable, then &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt; is a measure of what &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does ''not'' say about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. This is &amp;quot;the amount of uncertainty remaining about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; after &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is known&amp;quot;, and thus the right side of the second of these equalities can be read as &amp;quot;the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, minus the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; which remains after &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is known&amp;quot;, which is equivalent to &amp;quot;the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; which is removed by knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;&amp;quot;. This corroborates the intuitive meaning of mutual information as the amount of information (that is, reduction in uncertainty) that knowing either variable provides about the other.&lt;br /&gt;
&lt;br /&gt;
Intuitively, if entropy 𝐻(𝑌) is regarded as a measure of uncertainty about a random variable, then 𝐻(𝑌|𝑋) is a measure of what 𝑋 does not say about 𝑌. This is &amp;quot;the amount of uncertainty remaining about 𝑌 after 𝑋 is known&amp;quot;, and thus the right side of the second of these equalities can be read as &amp;quot;the amount of uncertainty in 𝑌, minus the amount of uncertainty in 𝑌 which remains after 𝑋 is known&amp;quot;, which is equivalent to &amp;quot;the amount of uncertainty in 𝑌 which is removed by knowing 𝑋&amp;quot;. This corroborates the intuitive meaning of mutual information as the amount of information (that is, reduction in uncertainty) that knowing either variable provides about the other.&lt;br /&gt;
&lt;br /&gt;
理论上来说，如果熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;被视为随机变量不确定性的度量，那么&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;则是对&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;没有说明&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的程度的度量。也就是“已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;后，关于&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;剩余的不确定性”的度量，因此这些等式中第二个等式的右侧可以解读为“&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;中的不确定性量，减去已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;后仍然存在的不确定性的量”，相当于“已知后消除的&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;中的不确定性量”&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;&amp;quot;.这证实了相互信息的直观含义就是了解其中一个变量提供的关于另一个变量的信息量（即不确定性的减少程度）。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note that in the discrete case &amp;lt;math&amp;gt;H(X|X) = 0&amp;lt;/math&amp;gt; and therefore &amp;lt;math&amp;gt;H(X) = \operatorname{I}(X;X)&amp;lt;/math&amp;gt;. Thus &amp;lt;math&amp;gt;\operatorname{I}(X; X) \ge \operatorname{I}(X; Y)&amp;lt;/math&amp;gt;, and one can formulate the basic principle that a variable contains at least as much information about itself as any other variable can provide.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
注意，在离散情况下，&amp;lt;math&amp;gt;H(X|X) = 0&amp;lt;/math&amp;gt;，因此&amp;lt;math&amp;gt;H(X) = \operatorname{I}(X;X)&amp;lt;/math&amp;gt;。所以，&amp;lt;math&amp;gt;\operatorname{I}(X; X) \ge \operatorname{I}(X; Y)&amp;lt;/math&amp;gt;，据此我们可以得到一个基本结论，那就是一个变量至少包含与任何其他变量所能提供的关于自身的信息量的这么多信息。&lt;br /&gt;
&lt;br /&gt;
=== 与相对熵的关系 Relation to Kullback–Leibler divergence ===&lt;br /&gt;
&lt;br /&gt;
For jointly discrete or jointly continuous pairs &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;, &lt;br /&gt;
&lt;br /&gt;
For jointly discrete or jointly continuous pairs &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;, &lt;br /&gt;
&lt;br /&gt;
对于联合的离散或连续分布变量对&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;，&lt;br /&gt;
&lt;br /&gt;
mutual information is the [[Kullback–Leibler divergence]] of the product of the [[marginal distribution]]s, &amp;lt;math&amp;gt;p_X \cdot p_Y&amp;lt;/math&amp;gt;, from the [[joint distribution]] &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;, that is,&lt;br /&gt;
&lt;br /&gt;
mutual information is the Kullback–Leibler divergence of the product of the marginal distributions, 𝑝𝑋⋅𝑝𝑌, from the joint distribution 𝑝(𝑋,𝑌), that is,&lt;br /&gt;
&lt;br /&gt;
互信息是边缘分布乘积的相对熵 &amp;lt;math&amp;gt;D_{KL}&amp;lt;/math&amp;gt;，也就是联合分布&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;的乘积，即：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic6.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Furthermore, let &amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt; be the conditional mass or density function. Then, we have the identity&lt;br /&gt;
&lt;br /&gt;
Furthermore, let &amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt; be the conditional mass or density function. Then, we have the identity&lt;br /&gt;
&lt;br /&gt;
进一步地，设&amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt;为条件质量或密度函数。那么，我们就可以给出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic7.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The proof for jointly discrete random variables is as follows:&lt;br /&gt;
&lt;br /&gt;
The proof for jointly discrete random variables is as follows:&lt;br /&gt;
&lt;br /&gt;
联合离散随机变量的证明如下:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic8.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Similarly this identity can be established for jointly continuous random variables.&lt;br /&gt;
&lt;br /&gt;
Similarly this identity can be established for jointly continuous random variables.&lt;br /&gt;
&lt;br /&gt;
这个恒等式在联合、连续的随机变量情况下同样成立。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note that here the Kullback–Leibler divergence involves integration over the values of the random variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; only, and the expression &amp;lt;math&amp;gt;D_\text{KL}(p_{X|Y} \parallel p_X)&amp;lt;/math&amp;gt; still denotes a random variable because &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is random. Thus mutual information can also be understood as the [[expected value|expectation]] of the Kullback–Leibler divergence of the [[univariate distribution]] &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; from the [[conditional distribution]] &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; given &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: the more different the distributions &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; are on average, the greater the [[Kullback–Leibler divergence|information gain]].&lt;br /&gt;
&lt;br /&gt;
Note that here the Kullback–Leibler divergence involves integration over the values of the random variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; only, and the expression &amp;lt;math&amp;gt;D_\text{KL}(p_{X|Y} \parallel p_X)&amp;lt;/math&amp;gt; still denotes a random variable because &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is random. Thus mutual information can also be understood as the expectation of the Kullback–Leibler divergence of the univariate distribution &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; from the conditional distribution &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; given &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: the more different the distributions &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; are on average, the greater the information gain.&lt;br /&gt;
&lt;br /&gt;
因此，互信息也可以理解为X的单变量分布&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;与给定&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的条件分布&amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt;的相对熵的期望：平均分布&amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;的分布差异越大，信息增益越大。&lt;br /&gt;
&lt;br /&gt;
=== 互信息的贝叶斯估计 Bayesian estimation of mutual information ===&lt;br /&gt;
&lt;br /&gt;
It is well-understood how to do Bayesian estimation of the mutual information of a joint distribution based on samples of that distribution. &lt;br /&gt;
&lt;br /&gt;
It is well-understood how to do Bayesian estimation of the mutual information of a joint distribution based on samples of that distribution. &lt;br /&gt;
&lt;br /&gt;
如何根据联合分布的样本对联合分布的互信息进行贝叶斯估计，是一个众所周知的问题&lt;br /&gt;
&lt;br /&gt;
The first work to do this, which also showed how to do Bayesian estimation of many other information-theoretic properties besides mutual information, was &amp;lt;ref&amp;gt;{{cite journal | last1 = Wolpert | first1 = D.H. | last2 = Wolf | first2 = D.R. | year = 1995 | title = Estimating functions of probability distributions from a finite set of samples | journal = Physical Review E | volume = 52 | issue = 6 | pages = 6841–6854 | doi = 10.1103/PhysRevE.52.6841 | pmid = 9964199 | citeseerx = 10.1.1.55.7122 | bibcode = 1995PhRvE..52.6841W }}&amp;lt;/ref&amp;gt;. Subsequent researchers have rederived &amp;lt;ref&amp;gt;{{cite journal | last1 = Hutter | first1 = M. | year = 2001 | title = Distribution of Mutual Information | journal = Advances in Neural Information Processing Systems 2001 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
and extended &amp;lt;ref&amp;gt;{{cite journal | last1 = Archer | first1 = E. | last2 = Park | first2 = I.M. | last3 = Pillow | first3 = J. | year = 2013 | title = Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data | journal = Entropy| volume = 15 | issue = 12 | pages = 1738–1755 | doi = 10.3390/e15051738 | citeseerx = 10.1.1.294.4690 | bibcode = 2013Entrp..15.1738A }}&amp;lt;/ref&amp;gt;this analysis. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
关于这方面的第一项工作是文献[2]。后来的研究人员重新推导了文献[3]中的内容，并扩展了关于[4]的分析。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
See &amp;lt;ref&amp;gt;{{cite journal | last1 = Wolpert | first1 = D.H | last2 = DeDeo | first2 = S. | year = 2013 | title = Estimating Functions of Distributions Defined over Spaces of Unknown Size | journal = Entropy | volume = 15 | issue = 12 | pages = 4668–4699 | doi = 10.3390/e15114668 | arxiv = 1311.4548 | bibcode = 2013Entrp..15.4668W }}&amp;lt;/ref&amp;gt;for a recent paper based on a prior specifically tailored to estimation of mutual information per se. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
最近的一篇论文[5]，该论文基于一个专门针对相互信息本身估计的先验知识。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Besides, recently an estimation method accounting for continuous and multivariate outputs,  &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, was proposed in &amp;lt;ref&amp;gt;{{citation| journal = [[PLOS Computational Biology]]|volume = 15|issue = 7|pages = e1007132|doi = 10.1371/journal.pcbi.1007132|pmid = 31299056|pmc = 6655862|title=Information-theoretic analysis of multivariate single-cell signaling responses|author1= Tomasz Jetka|author2= Karol Nienaltowski|author3= Tomasz Winarski| author4=Slawomir Blonski| author5= Michal Komorowski|year=2019|bibcode = 2019PLSCB..15E7132J|arxiv = 1808.05581}}&amp;lt;/ref&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
此外，最近文献[6]提出了一种考虑连续多种输出变量𝑌的估计方法。&lt;br /&gt;
&lt;br /&gt;
=== 独立性假设 Independence assumptions ===&lt;br /&gt;
&lt;br /&gt;
The Kullback-Leibler divergence formulation of the mutual information is predicated on that one is interested in comparing &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; to the fully factorized [[outer product]] &amp;lt;math&amp;gt;p(x) \cdot p(y)&amp;lt;/math&amp;gt;. In many problems, such as [[non-negative matrix factorization]], one is interested in less extreme factorizations; specifically, one wishes to compare &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; to a low-rank matrix approximation in some unknown variable &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;; that is, to what degree one might have&lt;br /&gt;
&lt;br /&gt;
The Kullback-Leibler divergence formulation of the mutual information is predicated on that one is interested in comparing 𝑝(𝑥,𝑦) to the fully factorized outer product 𝑝(𝑥)⋅𝑝(𝑦). In many problems, such as non-negative matrix factorization, one is interested in '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;less extreme factorizations&amp;lt;/font&amp;gt;'''; specifically, one wishes to compare 𝑝(𝑥,𝑦) to a low-rank matrix approximation in some unknown variable 𝑤; that is, to what degree one might have&lt;br /&gt;
&lt;br /&gt;
相互信息的Kullback-Leibler散度公式是基于这样一个结论的：人们会更关注将&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;与完全分解的外积&amp;lt;math&amp;gt;p(x) \cdot p(y)&amp;lt;/math&amp;gt;进行比较。在许多问题中，例如非负矩阵因式分解中，人们对'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;较不极端的&amp;lt;/font&amp;gt;'''因式分解感兴趣；具体地说，人们希望将&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;与某个未知变量&amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;中的低秩矩阵近似进行比较；也就是说，在多大程度上可能会有这样的结果：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;p(x,y)\approx \sum_w p^\prime (x,w) p^{\prime\prime}(w,y)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Alternately, one might be interested in knowing how much more information &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; carries over its factorization. In such a case, the excess information that the full distribution &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; carries over the matrix factorization is given by the Kullback-Leibler divergence&lt;br /&gt;
&lt;br /&gt;
Alternately, one might be interested in knowing how much more information 𝑝(𝑥,𝑦) carries over its factorization. In such a case, the excess information that the full distribution 𝑝(𝑥,𝑦) carries over the matrix factorization is given by the Kullback-Leibler divergence&lt;br /&gt;
&lt;br /&gt;
另一方面，人们可能有兴趣知道在因子分解过程中，有&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;携带了多少信息。在这种情况下，全分布&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;通过矩阵因子分解所携带的多余信息由Kullback-Leibler散度给出&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I}_{LRMA} = \sum_{y \in \mathcal{Y}} \sum_{x \in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p(x,y) \log{ \left(\frac{p(x,y)}{\sum_w p^\prime (x,w) p^{\prime\prime}(w,y)}&lt;br /&gt;
&lt;br /&gt;
      \right) }},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The conventional definition of the mutual information is recovered in the extreme case that the process &amp;lt;math&amp;gt;W&amp;lt;/math&amp;gt; has only one value for &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
The conventional definition of the mutual information is recovered in the extreme case that the process &amp;lt;math&amp;gt;W&amp;lt;/math&amp;gt; has only one value for &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
在过程&amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;只有一个值的极端情况下，可以使用传统的互信息定义。&lt;br /&gt;
&lt;br /&gt;
== 变形 Variations ==&lt;br /&gt;
&lt;br /&gt;
Several variations on mutual information have been proposed to suit various needs.  Among these are normalized variants and generalizations to more than two variables.&lt;br /&gt;
&lt;br /&gt;
Several variations on mutual information have been proposed to suit various needs.  Among these are normalized variants and generalizations to more than two variables.&lt;br /&gt;
&lt;br /&gt;
为了适应不同的需要，已经提出了几种互信息的变形。其中包括对两个以上变量的规范化变量和泛化。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 度量 Metric ===&lt;br /&gt;
&lt;br /&gt;
Many applications require a [[metric (mathematics)|metric]], that is, a distance measure between pairs of points. The quantity&lt;br /&gt;
&lt;br /&gt;
Many applications require a metric, that is, a distance measure between pairs of points. The quantity&lt;br /&gt;
&lt;br /&gt;
许多应用需要一个度量，即点对之间的距离度量。这个量：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\begin{align}&lt;br /&gt;
&lt;br /&gt;
d(X,Y) &amp;amp;= H(X,Y) - \operatorname{I}(X;Y) \\&lt;br /&gt;
&lt;br /&gt;
       &amp;amp;= H(X) + H(Y) - 2\operatorname{I}(X;Y) \\&lt;br /&gt;
&lt;br /&gt;
       &amp;amp;= H(X|Y) + H(Y|X)&lt;br /&gt;
&lt;br /&gt;
\end{align}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
satisfies the properties of a metric ([[triangle inequality]], [[non-negative|non-negativity]], [[identity of indiscernibles|indiscernability]] and symmetry). This distance metric is also known as the [[variation of information]].&lt;br /&gt;
&lt;br /&gt;
satisfies the properties of a metric (triangle inequality, non-negativity, indiscernability and symmetry). This distance metric is also known as the variation of information.&lt;br /&gt;
&lt;br /&gt;
满足度量的性质（三角形不等式、非负性、不可除性和对称性）。这种距离度量也称为信息的变化。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If &amp;lt;math&amp;gt;X, Y&amp;lt;/math&amp;gt; are discrete random variables then all the entropy terms are non-negative, so &amp;lt;math&amp;gt;0 \le d(X,Y) \le H(X,Y)&amp;lt;/math&amp;gt; and one can define a normalized distance&lt;br /&gt;
&lt;br /&gt;
If 𝑋,𝑌 are discrete random variables then all the entropy terms are non-negative, so 0≤𝑑(𝑋,𝑌)≤𝐻(𝑋,𝑌) and one can define a normalized distance&lt;br /&gt;
&lt;br /&gt;
如果&amp;lt;math&amp;gt;X, Y&amp;lt;/math&amp;gt;是离散随机变量，那么所有熵项都是非负的，因此&amp;lt;math&amp;gt;0 \le d(X,Y) \le H(X,Y)&amp;lt;/math&amp;gt;，可以定义一个标准化距离：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D(X,Y) = \frac{d(X, Y)}{H(X, Y)} \le 1.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The metric &amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt; is a universal metric, in that if any other distance measure places &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; close-by, then the &amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt; will also judge them close.&amp;lt;ref&amp;gt;{{cite journal|arxiv=q-bio/0311039|last1=Kraskov|first1=Alexander|title=Hierarchical Clustering Based on Mutual Information|last2=Stögbauer|first2=Harald|last3= Andrzejak|first3=Ralph G.|last4=Grassberger|first4=Peter|year=2003|bibcode=2003q.bio....11039K}}&amp;lt;/ref&amp;gt;{{dubious|see talk page|date=November 2014}}&lt;br /&gt;
&lt;br /&gt;
The metric 𝐷 is a universal metric, in that if any other distance measure places 𝑋 and 𝑌 close-by, then the 𝐷 will also judge them close.&lt;br /&gt;
&lt;br /&gt;
度量&amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt;是一种通用度量，即如果任何其他距离度量将&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;认为是近的，则&amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt;也将判断它们接近。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Plugging in the definitions shows that&lt;br /&gt;
&lt;br /&gt;
Plugging in the definitions shows that&lt;br /&gt;
&lt;br /&gt;
从如下定义可以看出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D(X,Y) = 1 - \frac{\operatorname{I}(X; Y)}{H(X, Y)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In a set-theoretic interpretation of information (see the figure for [[Conditional entropy]]), this is effectively the [[Jaccard index|Jaccard distance]] between &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
In a set-theoretic interpretation of information (see the figure for Conditional entropy), this is effectively the Jaccard distance between 𝑋 and 𝑌.&lt;br /&gt;
&lt;br /&gt;
在信息的集合论解释中（参见条件熵的图），这实际上就是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;之间的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;杰卡德距离 Jaccard distance&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Finally,&lt;br /&gt;
&lt;br /&gt;
Finally,&lt;br /&gt;
&lt;br /&gt;
最后,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D^\prime(X, Y) = 1 - \frac{\operatorname{I}(X; Y)}{\max\left\{H(X), H(Y)\right\}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
is also a metric.&lt;br /&gt;
&lt;br /&gt;
is also a metric.&lt;br /&gt;
&lt;br /&gt;
也是一种度量标准。&lt;br /&gt;
&lt;br /&gt;
=== 条件互信息 Conditional mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|Conditional mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Sometimes it is useful to express the mutual information of two random variables conditioned on a third.&lt;br /&gt;
&lt;br /&gt;
Sometimes it is useful to express the mutual information of two random variables conditioned on a third.&lt;br /&gt;
&lt;br /&gt;
有时度量两个随机变量在以第三个随机变量为条件的情况下的相互信息也是有意义的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{Equation box 1&lt;br /&gt;
&lt;br /&gt;
|indent =&lt;br /&gt;
&lt;br /&gt;
|title=&lt;br /&gt;
&lt;br /&gt;
|equation = &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \mathbb{E}_Z [D_{\mathrm{KL}}( P_{(X,Y)|Z} \| P_{X|Z} \otimes P_{Y|Z} )]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
|cellpadding= 1&lt;br /&gt;
&lt;br /&gt;
|border&lt;br /&gt;
&lt;br /&gt;
|border colour = #0073CF&lt;br /&gt;
&lt;br /&gt;
|background colour=#F5FFFA}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For jointly [[discrete random variable|discrete random variables]] this takes the form&lt;br /&gt;
&lt;br /&gt;
For jointly discrete random variables this takes the form&lt;br /&gt;
&lt;br /&gt;
对于联合离散随机变量，这采用以下形式：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z)  =  \sum_{z\in \mathcal{Z}} \sum_{y\in \mathcal{Y}} \sum_{x\in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p_Z(z)\, p_{X,Y|Z}(x,y|z) &lt;br /&gt;
&lt;br /&gt;
        \log\left[\frac{p_{X,Y|Z}(x,y|z)}{p_{X|Z}\,(x|z)p_{Y|Z}(y|z)}\right]},&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
可以简化为&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \sum_{z\in \mathcal{Z}} \sum_{y\in \mathcal{Y}} \sum_{x\in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
      p_{X,Y,Z}(x,y,z) \log \frac{p_{X,Y,Z}(x,y,z)p_{Z}(z)}{p_{X,Z}(x,z)p_{Y,Z}(y,z)}.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For jointly [[continuous random variable|continuous random variables]] this takes the form&lt;br /&gt;
&lt;br /&gt;
For jointly continuous random variables this takes the form&lt;br /&gt;
&lt;br /&gt;
对于联合连续的随机变量，其形式为：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z)  =  \int_{\mathcal{Z}} \int_{\mathcal{Y}} \int_{\mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p_Z(z)\, p_{X,Y|Z}(x,y|z) &lt;br /&gt;
&lt;br /&gt;
        \log\left[\frac{p_{X,Y|Z}(x,y|z)}{p_{X|Z}\,(x|z)p_{Y|Z}(y|z)}\right]} dx dy dz,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
可以简化为&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \int_{\mathcal{Z}} \int_{\mathcal{Y}} \int_{\mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
      p_{X,Y,Z}(x,y,z) \log \frac{p_{X,Y,Z}(x,y,z)p_{Z}(z)}{p_{X,Z}(x,z)p_{Y,Z}(y,z)} dx dy dz.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Conditioning on a third random variable may either increase or decrease the mutual information, but it is always true that&lt;br /&gt;
&lt;br /&gt;
Conditioning on a third random variable may either increase or decrease the mutual information, but it is always true that&lt;br /&gt;
&lt;br /&gt;
第三个随机变量的条件作用可能增加或减少互信息，但下式始终是成立的：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I}(X;Y|Z) \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
for discrete, jointly distributed random variables &amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;. This result has been used as a basic building block for proving other [[inequalities in information theory]].&lt;br /&gt;
&lt;br /&gt;
for discrete, jointly distributed random variables &amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;. This result has been used as a basic building block for proving other inequalities in information theory.&lt;br /&gt;
&lt;br /&gt;
对于离散的、联合分布的随机变量&amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;。这一结果被用作证明信息论中其他不等式的基本组成部分。&lt;br /&gt;
&lt;br /&gt;
=== 多元互信息 Multivariate mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|Multivariate mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several generalizations of mutual information to more than two random variables have been proposed, such as [[total correlation]] (or multi-information) and [[interaction information]]. The expression and study of multivariate higher-degree mutual-information was achieved in two seemingly independent works: McGill (1954) &amp;lt;ref&amp;gt;{{cite journal | last1 = McGill| first1 = W. | year = 1954 | title = Multivariate information transmission | journal = Psychometrika | volume = 19 | issue = 1 | pages = 97–116 | doi = 10.1007/BF02289159 }}&amp;lt;/ref&amp;gt; who called these functions “interaction information”, and Hu Kuo Ting (1962) &amp;lt;ref&amp;gt;{{cite journal | last1 = Hu| first1 = K.T. | year = 1962 | title = On the Amount of Information | journal = Theory Probab. Appl. | volume = 7 | issue = 4 |  pages = 439–447 | doi = 10.1137/1107041 }}&amp;lt;/ref&amp;gt; who also first proved the possible negativity of mutual-information for degrees higher than 2 and justified algebraically the intuitive correspondence to Venn diagrams  &amp;lt;ref name=e21090869&amp;gt;{{cite journal | last1 = Baudot | first1 = P. | last2 = Tapia | first2 = M. | last3 = Bennequin | first3 = D. | last4 = Goaillard | first4 = J.M. | year = 2019 | title = Topological Information Data Analysis | doi = 10.3390/e21090869 | journal = Entropy | volume = 21 | issue = 9| at = 869 | bibcode = 2019Entrp..21..869B | arxiv = 1907.04242 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Several generalizations of mutual information to more than two random variables have been proposed, such as total correlation (or multi-information) and interaction information. The expression and study of multivariate higher-degree mutual-information was achieved in two seemingly independent works: McGill (1954)  who called these functions “interaction information”, and Hu Kuo Ting (1962)  who also first proved the possible negativity of mutual-information for degrees higher than 2 and justified algebraically the intuitive correspondence to Venn diagrams  &lt;br /&gt;
&lt;br /&gt;
目前提出了许多将互信息推广到两个以上随机变量的方法，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;全相关 Total correlation&amp;lt;/font&amp;gt;'''（或'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;多信息 Multi-information&amp;lt;/font&amp;gt;'''）以及'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;交互信息 Interaction information&amp;lt;/font&amp;gt;'''。多元高阶互信息的表达和研究是在两部看似独立的著作中实现的：McGill（1954年）在文献[8]中将这些函数统称为“互信息”，胡国亭（1962年）也在文献[9]中首次证明了大于2度的互信息可能是负的，并在文献[10]中用代数的方法证明了互信息和维恩图的直观对应关系。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X_1;X_1) = H(X_1)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
and for &amp;lt;math&amp;gt;n &amp;gt; 1,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and for 𝑛&amp;gt;1,&lt;br /&gt;
&lt;br /&gt;
而对于𝑛&amp;gt;1，有：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X_1;\,...\,;X_n)&lt;br /&gt;
&lt;br /&gt;
 = \operatorname{I}(X_1;\,...\,;X_{n-1}) &lt;br /&gt;
&lt;br /&gt;
    - \operatorname{I}(X_1;\,...\,;X_{n-1}|X_n),&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where (as above) we define&lt;br /&gt;
&lt;br /&gt;
where (as above) we define&lt;br /&gt;
&lt;br /&gt;
综上所述，我们定义：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
I(X_1;\ldots;X_{n-1}|X_{n}) = \mathbb{E}_{X_{n}} [D_{\mathrm{KL}}( P_{(X_1,\ldots,X_{n-1})|X_{n}} \| P_{X_1|X_{n}} \otimes\cdots\otimes P_{X_{n-1}|X_{n}} )].&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(This definition of multivariate mutual information is identical to that of [[interaction information]] except for a change in sign when the number of random variables is odd.)&lt;br /&gt;
&lt;br /&gt;
(This definition of multivariate mutual information is identical to that of interaction information except for a change in sign when the number of random variables is odd.)&lt;br /&gt;
&lt;br /&gt;
（这个多元互信息的定义与互信息的定义相同，对于随机变量的数目为奇数时符号的变化除外。）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== 多元统计独立性 Multivariate statistical independence ====&lt;br /&gt;
&lt;br /&gt;
The multivariate mutual-information functions generalize the pairwise independence case that states that &amp;lt;math&amp;gt;X_1,X_2&amp;lt;/math&amp;gt; if and only if &amp;lt;math&amp;gt;I(X_1;X_2)=0&amp;lt;/math&amp;gt;, to arbitrary numerous variable. n variables are mutually independent if and only if the  &amp;lt;math&amp;gt;2^n-n-1&amp;lt;/math&amp;gt; mutual information functions vanish &amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt;n \ge k \ge 2&amp;lt;/math&amp;gt; (theorem 2  &amp;lt;ref name=e21090869/&amp;gt;). In this sense, the &amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt; can be used as a refined statistical independence criterion.&lt;br /&gt;
&lt;br /&gt;
The multivariate mutual-information functions generalize the pairwise independence case that states that 𝑋1,𝑋2 if and only if 𝐼(𝑋1;𝑋2)=0, to arbitrary numerous variable. n variables are mutually independent if and only if the 2𝑛−𝑛−1 mutual information functions vanish 𝐼(𝑋1;...;𝑋𝑘)=0 with 𝑛≥𝑘≥2 (theorem 2). In this sense, the 𝐼(𝑋1;...;𝑋𝑘)=0 can be used as a refined statistical independence criterion.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
多元互信息函数将&amp;lt;math&amp;gt;I(X_1;X_2)=0&amp;lt;/math&amp;gt;当且仅当&amp;lt;math&amp;gt;X_1,X_2&amp;lt;/math&amp;gt;两两独立的情况推广到任意多变量。即当且仅当&amp;lt;math&amp;gt;2^n-n-1&amp;lt;/math&amp;gt;的互信息函数为&amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt;且math&amp;gt;n \ge k \ge 2&amp;lt;/math&amp;gt;时，n个变量相互独立（定理2）。从这个意义上讲，&amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt;可以用作一个精确的统计独立性标准。&lt;br /&gt;
&lt;br /&gt;
==== 应用 Applications ====&lt;br /&gt;
&lt;br /&gt;
For 3 variables, Brenner et al. applied multivariate mutual information to neural coding and called its negativity &amp;quot;synergy&amp;quot; &amp;lt;ref&amp;gt;{{cite journal | last1 = Brenner | first1 = N. | last2 = Strong | first2 = S. | last3 = Koberle | first3 = R. | last4 = Bialek | first4 = W. | year = 2000 | title = Synergy in a Neural Code | doi = 10.1162/089976600300015259 | pmid = 10935917 | journal = Neural Comput | volume = 12 | issue = 7 | pages = 1531–1552 }}&amp;lt;/ref&amp;gt; and Watkinson et al. applied it to genetic expression &amp;lt;ref&amp;gt;{{cite journal | last1 = Watkinson | first1 = J. | last2 = Liang | first2 = K. | last3 = Wang | first3 = X. | last4 = Zheng | first4 = T.| last5 = Anastassiou | first5 = D. | year = 2009 | title = Inference of Regulatory Gene Interactions from Expression Data Using Three-Way Mutual Information | doi = 10.1111/j.1749-6632.2008.03757.x | pmid = 19348651 | journal = Chall. Syst. Biol. Ann. N. Y. Acad. Sci. | volume = 1158 | issue = 1 | pages = 302–313 | bibcode = 2009NYASA1158..302W | url = https://semanticscholar.org/paper/cb09223a34b08e6dcbf696385d9ab76fd9f37aa4 }}&amp;lt;/ref&amp;gt;. For arbitrary k variables, Tapia et al. applied multivariate mutual information to gene expression  &amp;lt;ref name=s41598&amp;gt;{{cite journal|last1=Tapia|first1=M.|last2=Baudot|first2=P.|last3=Formizano-Treziny|first3=C.|last4=Dufour|first4=M.|last5=Goaillard|first5=J.M.|year=2018|title=Neurotransmitter identity and electrophysiological phenotype are genetically coupled in midbrain dopaminergic neurons|doi= 10.1038/s41598-018-31765-z|pmid=30206240|pmc=6134142|journal=Sci. Rep.|volume=8|issue=1|pages=13637|bibcode=2018NatSR...813637T}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=e21090869/&amp;gt;). It can be zero, positive, or negative &amp;lt;ref&amp;gt;{{cite journal | last1 = Hu| first1 = K.T. | year = 1962 | title = On the Amount of Information | journal = Theory Probab. Appl. | volume = 7 | issue = 4 |  pages = 439–447 | doi = 10.1137/1107041 }}&amp;lt;/ref&amp;gt;. The positivity corresponds to relations generalizing the pairwise correlations, nullity corresponds to a refined notion of independence, and negativity detects high dimensional &amp;quot;emergent&amp;quot; relations and clusterized datapoints &amp;lt;ref name=s41598/&amp;gt;). &lt;br /&gt;
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For 3 variables, Brenner et al. applied multivariate mutual information to neural coding and called its negativity &amp;quot;synergy&amp;quot;  and Watkinson et al. applied it to genetic expression . For arbitrary k variables, Tapia et al. applied multivariate mutual information to gene expression   . '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;The positivity corresponds to relations generalizing the pairwise correlations, nullity corresponds to a refined notion of independence, and negativity detects high dimensional &amp;quot;emergent&amp;quot; relations and clusterized datapoints &amp;lt;/font&amp;gt;'''. &lt;br /&gt;
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对于3个变量，Brenner等人将多变量互信息应用到神经编码中，并将其称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;负面“协同作用” Negativity &amp;quot;synergy&amp;quot;&amp;lt;/font&amp;gt;'''，接着Watkinson 等人将其应用到基因表达上。对于任意k个变量，Tapia 等人将多元互信息应用于基因表达——'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;正性对应于一般化成对相关性的关系，无效性对应于一个精确的独立性概念，负性检测高维“涌现”关系和聚合数据点&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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One high-dimensional generalization scheme which maximizes the mutual information between the joint distribution and other target variables is found to be useful in [[feature selection]].&amp;lt;ref&amp;gt;{{cite book|author1=Christopher D. Manning |author2=Prabhakar Raghavan |author3=Hinrich Schütze | title = An Introduction to Information Retrieval| publisher = [[Cambridge University Press]]| year = 2008| isbn = 978-0-521-86571-5 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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One high-dimensional generalization scheme which maximizes the mutual information between the joint distribution and other target variables is found to be useful in feature selection.&lt;br /&gt;
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目前已经提出了一种能够最大化联合分布与其他目标变量之间的互信息的高维推广方案，该方法可用于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 特征选择 Feature selection&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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Mutual information is also used in the area of signal processing as a [[Similarity measure|measure of similarity]] between two signals. For example, FMI metric&amp;lt;ref&amp;gt;{{cite journal | last1 = Haghighat | first1 = M. B. A. | last2 = Aghagolzadeh | first2 = A. | last3 = Seyedarabi | first3 = H. | year = 2011 | title = A non-reference image fusion metric based on mutual information of image features | doi = 10.1016/j.compeleceng.2011.07.012 | journal = Computers &amp;amp; Electrical Engineering | volume = 37 | issue = 5| pages = 744–756 }}&amp;lt;/ref&amp;gt; is an image fusion performance measure that makes use of mutual information in order to measure the amount of information that the fused image contains about the source images. The [[Matlab]] code for this metric can be found at.&amp;lt;ref&amp;gt;{{cite web|url=http://www.mathworks.com/matlabcentral/fileexchange/45926-feature-mutual-information-fmi-image-fusion-metric|title=Feature Mutual Information (FMI) metric for non-reference image fusion - File Exchange - MATLAB Central|author=|date=|website=www.mathworks.com|accessdate=4 April 2018}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Mutual information is also used in the area of signal processing as a measure of similarity between two signals. For example, FMI metric is an image fusion performance measure that makes use of mutual information in order to measure the amount of information that the fused image contains about the source images. The Matlab code for this metric can be found at.&lt;br /&gt;
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互信息也用于信号处理领域，用来进行两个信号之间的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;相似性度量 Similarity measure&amp;lt;/font&amp;gt;'''。例如，FMI 度量是一种利用互信息来度量融合图像包含的关于源图像的信息量的图像融合性能度量。这个度量的 Matlab 代码可以在参考文献[17]中找到。&lt;br /&gt;
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=== 定向信息 Directed information ===&lt;br /&gt;
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[[Directed information]], &amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&amp;lt;/math&amp;gt;,  measures the amount of information that flows from the process  &amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt; to &amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt; denotes the vector &amp;lt;math&amp;gt;X_1, X_2, ..., X_n&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt; denotes &amp;lt;math&amp;gt;Y_1, Y_2, ..., Y_n&amp;lt;/math&amp;gt;. The term ''directed information'' was coined by [[James Massey]] and is defined as&lt;br /&gt;
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Directed information, I(𝑋𝑛→𝑌𝑛), measures the amount of information that flows from the process 𝑋𝑛 to 𝑌𝑛, where 𝑋𝑛 denotes the vector 𝑋1,𝑋2,...,𝑋𝑛 and 𝑌𝑛 denotes 𝑌1,𝑌2,...,𝑌𝑛. The term directed information was coined by James Massey and is defined as：&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;定向信息 Directed information&amp;lt;/font&amp;gt;'''&amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&amp;lt;/math&amp;gt;度量从&amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt;流向&amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;的过程中的信息量，其中&amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt;表示为向量&amp;lt;math&amp;gt;X_1, X_2, ..., X_n&amp;lt;/math&amp;gt;，&amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;表示为&amp;lt;math&amp;gt;Y_1, Y_2, ..., Y_n&amp;lt;/math&amp;gt;。定向信息这个术语是由 James Massey 创造的，它被定义为：&lt;br /&gt;
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:&amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&lt;br /&gt;
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= \sum_{i=1}^n \operatorname{I}\left(X^i; Y_i|Y^{i-1}\right)&amp;lt;/math&amp;gt;.&lt;br /&gt;
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Note that if &amp;lt;math&amp;gt;n=1&amp;lt;/math&amp;gt;, the directed information becomes the mutual information. Directed information has many applications in problems where [[causality]] plays an important role, such as [[Channel capacity|capacity of channel]] with feedback.&amp;lt;ref&amp;gt;{{cite conference|last1=Massey|first1=James|title=Causality, Feedback And Directed Informatio|date=1990|book-title=Proc. 1990 Intl. Symp. on Info. Th. and its Applications, Waikiki, Hawaii, Nov. 27-30, 1990|citeseerx=10.1.1.36.5688}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal|last1=Permuter|first1=Haim Henry|last2=Weissman|first2=Tsachy|last3=Goldsmith|first3=Andrea J.|title=Finite State Channels With Time-Invariant Deterministic Feedback|journal=IEEE Transactions on Information Theory|date=February 2009|volume=55|issue=2|pages=644–662|doi=10.1109/TIT.2008.2009849|arxiv=cs/0608070}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Note that if 𝑛=1, the directed information becomes the mutual information. Directed information has many applications in problems where causality plays an important role, such as capacity of channel with feedback.&lt;br /&gt;
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注意，当&amp;lt;math&amp;gt;n=1&amp;lt;/math&amp;gt;时，则定向信息成为互信息。定向信息在因果关系问题中有着广泛的应用，如反馈'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;信道容量问题 Channel capacity&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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=== 标准化变形 Normalized variants ===&lt;br /&gt;
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Normalized variants of the mutual information are provided by the ''coefficients of constraint'',{{sfn|Coombs|Dawes|Tversky|1970}} [[uncertainty coefficient]]&amp;lt;ref name=pressflannery&amp;gt;{{Cite book|last1=Press|first1=WH|last2=Teukolsky |first2=SA|last3=Vetterling|first3=WT|last4=Flannery|first4=BP|year=2007|title=Numerical Recipes: The Art of Scientific Computing|edition=3rd|publisher=Cambridge University Press|location=New York|isbn=978-0-521-88068-8|chapter=Section 14.7.3. Conditional Entropy and Mutual Information|chapter-url=http://apps.nrbook.com/empanel/index.html#pg=758}}&amp;lt;/ref&amp;gt; or proficiency:&amp;lt;ref name=JimWhite&amp;gt;{{Cite conference| last1= White |first1= Jim | last2= Steingold | first2=Sam | last3= Fournelle | first3=Connie | title = Performance Metrics for Group-Detection Algorithms | conference = Interface 2004 | url = http://www.interfacesymposia.org/I04/I2004Proceedings/WhiteJim/WhiteJim.paper.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Normalized variants of the mutual information are provided by the coefficients of constraint, uncertainty coefficient or proficiency:&lt;br /&gt;
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互信息的规范化变量由约束系数、不确定系数或熟练程度组成: &lt;br /&gt;
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:&amp;lt;math&amp;gt;&lt;br /&gt;
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C_{XY} = \frac{\operatorname{I}(X;Y)}{H(Y)}&lt;br /&gt;
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~~~~\mbox{和}~~~~ &lt;br /&gt;
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C_{YX} = \frac{\operatorname{I}(X;Y)}{H(X)}.&lt;br /&gt;
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&amp;lt;/math&amp;gt;&lt;br /&gt;
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The two coefficients have a value ranging in [0, 1], but are not necessarily equal. In some cases a symmetric measure may be desired, such as the following ''[[Redundancy (information theory)|redundancy]]''{{Citation needed|date=July 2008}} measure:&lt;br /&gt;
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The two coefficients have a value ranging in [0, 1], but are not necessarily equal. In some cases a symmetric measure may be desired, such as the following redundancy measure:&lt;br /&gt;
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这两个系数的值范围均为[0,1]，但不一定是相等的。在某些情况下，可能需要一个对称的度量，例如下面的冗余度量:&lt;br /&gt;
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:&amp;lt;math&amp;gt;R = \frac{\operatorname{I}(X;Y)}{H(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which attains a minimum of zero when the variables are independent and a maximum value of&lt;br /&gt;
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which attains a minimum of zero when the variables are independent and a maximum value of&lt;br /&gt;
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当变量是独立的时候，它的最小值为零，最大值可以达到：&lt;br /&gt;
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:&amp;lt;math&amp;gt;R_\max = \frac{\min\left\{H(X), H(Y)\right\}}{H(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
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when one variable becomes completely redundant with the knowledge of the other.  See also ''[[Redundancy (information theory)]]''. &lt;br /&gt;
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when one variable becomes completely redundant with the knowledge of the other.  See also Redundancy (information theory). &lt;br /&gt;
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当一个变量与另一个变量的知识完全多余时。参见冗余(信息论)。&lt;br /&gt;
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Another symmetrical measure is the ''symmetric uncertainty'' {{harv|Witten|Frank|2005}}, given by&lt;br /&gt;
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Another symmetrical measure is the symmetric uncertainty , given by&lt;br /&gt;
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另一个对称度量是对称不确定度，由下式表示：&lt;br /&gt;
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:&amp;lt;math&amp;gt;U(X, Y) = 2R = 2\frac{\operatorname{I}(X;Y)}{Ha(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which represents the [[harmonic mean]] of the two uncertainty coefficients &amp;lt;math&amp;gt;C_{XY}, C_{YX}&amp;lt;/math&amp;gt;.&amp;lt;ref name=pressflannery /&amp;gt;&lt;br /&gt;
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which represents the harmonic mean of the two uncertainty coefficients &amp;lt;math&amp;gt;C_{XY}, C_{YX}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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它表示两个不确定系数的调和平均数。&lt;br /&gt;
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If we consider mutual information as a special case of the [[total correlation]] or [[dual total correlation]], the normalized version are respectively,&lt;br /&gt;
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If we consider mutual information as a special case of the total correlation or dual total correlation, the normalized version are respectively,&lt;br /&gt;
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如果我们把互信息看作是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;总相关 Total correlation&amp;lt;/font&amp;gt;'''或'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;对偶总相关 Dual total correlation&amp;lt;/font&amp;gt;'''的特殊情况，则其标准化版本分别为,&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{\operatorname{I}(X;Y)}{\min\left[ H(X),H(Y)\right]}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;\frac{\operatorname{I}(X;Y)}{H(X,Y)} \; .&amp;lt;/math&amp;gt;&lt;br /&gt;
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This normalized version also known as '''Information Quality Ratio (IQR)''' which quantifies the amount of information of a variable based on another variable against total uncertainty:&amp;lt;ref name=DRWijaya&amp;gt;{{Cite journal| last1= Wijaya |first1= Dedy Rahman | last2= Sarno| first2=Riyanarto| last3= Zulaika | first3=Enny| title = Information Quality Ratio as a novel metric for mother wavelet selection| journal = Chemometrics and Intelligent Laboratory Systems| journal = Chemometrics and Intelligent Laboratory Systems| volume = 160| pages = 59–71| doi = 10.1016/j.chemolab.2016.11.012|year= 2017 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This normalized version also known as Information Quality Ratio (IQR) which quantifies the amount of information of a variable based on another variable against total uncertainty:&lt;br /&gt;
这个标准化版本也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;信息质量比率 Information Quality Ratio，IQR&amp;lt;/font&amp;gt;''' ，它根据另一个变量量化了一个变量的信息量，来对抗总的不确定性: &lt;br /&gt;
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:&amp;lt;math&amp;gt;IQR(X, Y) = \operatorname{E}[\operatorname{I}(X;Y)] &lt;br /&gt;
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= \frac{\operatorname{I}(X;Y)}{H(X, Y)} &lt;br /&gt;
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= \frac{\sum_{x \in X} \sum_{y \in Y} p(x, y) \log {p(x)p(y)}}{\sum_{x \in X} \sum_{y \in Y} p(x, y) \log {p(x, y)}} - 1&amp;lt;/math&amp;gt;&lt;br /&gt;
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There's a normalization&amp;lt;ref name=&amp;quot;strehl-jmlr02&amp;quot;&amp;gt;{{cite journal| title = Cluster Ensembles – A Knowledge Reuse Framework for Combining Multiple Partitions| journal = The Journal of Machine Learning Research| pages = 583–617 | volume = 3 | year = 2003| last1 = Strehl | first1 = Alexander | last2 = Ghosh | first2 = Joydeep| doi=10.1162/153244303321897735| url=http://www.jmlr.org/papers/volume3/strehl02a/strehl02a.pdf}}&amp;lt;/ref&amp;gt; which derives from first thinking of mutual information as an analogue to [[covariance]] (thus [[Entropy (information theory)|Shannon entropy]] is analogous to [[variance]]).  Then the normalized mutual information is calculated akin to the [[Pearson product-moment correlation coefficient|Pearson correlation coefficient]],&lt;br /&gt;
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There's a normalization which derives from first thinking of mutual information as an analogue to [[covariance]] (thus [[Entropy (information theory)|Shannon entropy]] is analogous to [[variance]]).  Then the normalized mutual information is calculated akin to the [[Pearson product-moment correlation coefficient|Pearson correlation coefficient]],&lt;br /&gt;
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有一个标准化的名字——它起源于最初把互信息看作是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;协方差 Covariance&amp;lt;/font&amp;gt;'''的类比（因此香农熵类似于方差）。然后计算归一化互信息类似于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;皮尔森相关系数 Pearson product-moment&amp;lt;/font&amp;gt;'''：&lt;br /&gt;
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:&amp;lt;math&amp;gt;&lt;br /&gt;
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\frac{\operatorname{I}(X;Y)}{\sqrt{H(X)H(Y)}}\; .&lt;br /&gt;
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&amp;lt;/math&amp;gt;&lt;br /&gt;
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=== 加权变量 Weighted variants ===&lt;br /&gt;
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In the traditional formulation of the mutual information,&lt;br /&gt;
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In the traditional formulation of the mutual information,&lt;br /&gt;
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在互信息的传统表述中：&lt;br /&gt;
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:&amp;lt;math&amp;gt; \operatorname{I}(X;Y) &lt;br /&gt;
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 = \sum_{y \in Y} \sum_{x \in X} p(x, y) \log \frac{p(x, y)}{p(x)\,p(y)}, &amp;lt;/math&amp;gt;&lt;br /&gt;
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each ''event'' or ''object''  specified by &amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; is weighted by the corresponding  probability &amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;.  This assumes that all objects or events are equivalent ''apart from'' their probability of occurrence.  However, in some applications it may be the case that certain objects or events are more ''significant'' than others, or that certain patterns of association are more semantically important than others.&lt;br /&gt;
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each event or object  specified by &amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; is weighted by the corresponding  probability &amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;.  This assumes that all objects or events are equivalent apart from their probability of occurrence.  However, in some applications it may be the case that certain objects or events are more significant than others, or that certain patterns of association are more semantically important than others.&lt;br /&gt;
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&amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; 指定的每个事件或对象都由相应的概率&amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;进行加权。这假设所有的物体或事件除了发生的概率外都是相等的。然而，在某些应用场景中，某些对象或事件可能比其他对象或事件更重要，或者某些关联模式在语义上比其他模式更重要。&lt;br /&gt;
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&lt;br /&gt;
For example, the deterministic mapping &amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt; may be viewed as stronger than the deterministic mapping &amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;, although these relationships would yield the same mutual information.  This is because the mutual information is not sensitive at all to any inherent ordering in the variable values ({{harvnb|Cronbach|1954}}, {{harvnb|Coombs|Dawes|Tversky|1970}}, {{harvnb|Lockhead|1970}}), and is therefore not sensitive at all to the '''form''' of the relational mapping between the associated variables.  If it is desired that the former relation—showing agreement on all variable values—be judged stronger than the later relation, then it is possible to use the following ''weighted mutual information'' {{harv|Guiasu|1977}}.&lt;br /&gt;
&lt;br /&gt;
For example, the deterministic mapping {(1,1),(2,2),(3,3)} may be viewed as stronger than the deterministic mapping {(1,3),(2,1),(3,2)}, although these relationships would yield the same mutual information. This is because the mutual information is not sensitive at all to any inherent ordering in the variable values, and is therefore not sensitive at all to the form of the relational mapping between the associated variables. If it is desired that the former relation—showing agreement on all variable values—be judged stronger than the later relation, then it is possible to use the following weighted mutual information.&lt;br /&gt;
&lt;br /&gt;
例如，确定性映射&amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt;可能被视为比确定性映射&amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;更强，尽管这些关系产生的互信息是相同的。这是因为互信息对变量值的任何内在顺序都不敏感，因此对关联变量之间的关系映射形式一点也不敏感。如果希望对所有变量值表示一致的前一个关系比后一个关系强，则可以使用以下加权互信息的方法：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; \operatorname{I}(X;Y) = \sum_{y \in Y} \sum_{x \in X} w(x,y) p(x,y) \log \frac{p(x,y)}{p(x)\,p(y)}, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which places a weight &amp;lt;math&amp;gt;w(x,y)&amp;lt;/math&amp;gt; on the probability of each variable value co-occurrence, &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;. This allows that certain probabilities may carry more or less significance than others, thereby allowing the quantification of relevant ''holistic'' or ''[[Prägnanz]]'' factors.  In the above example, using larger relative weights for &amp;lt;math&amp;gt;w(1,1)&amp;lt;/math&amp;gt;, &amp;lt;math&amp;gt;w(2,2)&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;w(3,3)&amp;lt;/math&amp;gt; would have the effect of assessing greater ''informativeness'' for the relation  &amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt; than for the relation &amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;, which may be desirable in some cases of pattern recognition, and the like.  This weighted mutual information is a form of weighted KL-Divergence, which is known to take negative values for some inputs,&amp;lt;ref name=&amp;quot;weighted-kl&amp;quot;&amp;gt;{{cite journal | last1 = Kvålseth | first1 = T. O. | year = 1991 | title = The relative useful information measure: some comments | url = | journal = Information Sciences | volume = 56 | issue = 1| pages = 35–38 | doi=10.1016/0020-0255(91)90022-m}}&amp;lt;/ref&amp;gt; and there are examples where the weighted mutual information also takes negative values.&amp;lt;ref&amp;gt;{{cite dissertation|title=Feature Selection Via Joint Likelihood|first=A. |last=Pocock|year=2012|url=http://www.cs.man.ac.uk/~gbrown/publications/pocockPhDthesis.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which places a weight 𝑤(𝑥,𝑦) on the probability of each variable value co-occurrence, 𝑝(𝑥,𝑦). This allows that certain probabilities may carry more or less significance than others, thereby allowing the quantification of relevant holistic or Prägnanz factors. In the above example, using larger relative weights for 𝑤(1,1), 𝑤(2,2), and 𝑤(3,3) would have the effect of assessing greater informativeness for the relation {(1,1),(2,2),(3,3)} than for the relation {(1,3),(2,1),(3,2)}, which may be desirable in some cases of pattern recognition, and the like. This weighted mutual information is a form of weighted KL-Divergence, which is known to take negative values for some inputs,[24] and there are examples where the weighted mutual information also takes negative values.[25]&lt;br /&gt;
&lt;br /&gt;
设每个变量值同时出现的概率&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;的权重为&amp;lt;math&amp;gt;w(x,y)&amp;lt;/math&amp;gt;。这使得某些概率可能比其他概率具有更多（或更少）的重要性，从而可以量化整个相关的整体或其中的Prägnanz因素。在上面的例子中，对&amp;lt;math&amp;gt;w(1,1)&amp;lt;/math&amp;gt;、&amp;lt;math&amp;gt;w(2,2)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;w(3,3)&amp;lt;/math&amp;gt;使用更大的相对权重与评估关系&amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt;比关系&amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;更大的信息性的效果是一样的，这在一些模式识别等情况下是可行的。这种加权互信息是加权KL散度的一种形式，已知它对某些输入取负值，并且在一些例子中加权互信息也取负值。&lt;br /&gt;
&lt;br /&gt;
=== 调整后的互信息 Adjusted mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|adjusted mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
A probability distribution can be viewed as a [[partition of a set]].  One may then ask: if a set were partitioned randomly, what would the distribution of probabilities be?  What would the expectation value of the mutual information be? The [[adjusted mutual information]] or AMI subtracts the expectation value of the MI, so that the AMI is zero when two different distributions are random, and one when two distributions are identical.  The AMI is defined in analogy to the [[adjusted Rand index]] of two different partitions of a set.&lt;br /&gt;
&lt;br /&gt;
A probability distribution can be viewed as a partition of a set.  One may then ask: if a set were partitioned randomly, what would the distribution of probabilities be?  What would the expectation value of the mutual information be? The adjusted mutual information or AMI subtracts the expectation value of the MI, so that the AMI is zero when two different distributions are random, and one when two distributions are identical.  The AMI is defined in analogy to the adjusted Rand index of two different partitions of a set.&lt;br /&gt;
&lt;br /&gt;
概率分布可以被看作是集合划分。然后有人可能会问: 如果一个集合被随机分割，概率的分布会是什么？相互信息的期望值是什么？我们用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;调整后的互信息 Adjusted mutual information&amp;lt;/font&amp;gt;'''或 AMI 减去 MI 的期望值，这样当两个不同的分布是随机的时候 AMI 为零，当两个分布是相同的时候 AMI 为零。AMI的定义类似于一个集合的两个不同分区的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;调整后的Rand指数 Adjusted Rand index&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
=== 绝对互信息 Absolute mutual information ===&amp;lt;!-- This section is linked from Kolmogorov complexity --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Using the ideas of [[Kolmogorov complexity]], one can consider the mutual information of two sequences independent of any probability distribution:&lt;br /&gt;
&lt;br /&gt;
Using the ideas of Kolmogorov complexity, one can consider the mutual information of two sequences independent of any probability distribution:&lt;br /&gt;
&lt;br /&gt;
利用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;柯氏复杂性 Kolmogorov complexity&amp;lt;/font&amp;gt;'''的思想，我们可以考虑两个序列的互信息，这两个序列独立于任何概率分布序列:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}_K(X;Y) = K(X) - K(X|Y).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
To establish that this quantity is symmetric up to a logarithmic factor (&amp;lt;math&amp;gt;\operatorname{I}_K(X;Y) \approx \operatorname{I}_K(Y;X)&amp;lt;/math&amp;gt;) one requires the [[chain rule for Kolmogorov complexity]] {{Harvard citation|Li|Vitányi|1997}}. Approximations of this quantity via [[Data compression|compression]] can be used to define a [[Metric (mathematics)|distance measure]] to perform a [[hierarchical clustering]] of sequences without having any [[domain knowledge]] of the sequences {{Harvard citation|Cilibrasi|Vitányi|2005}}.&lt;br /&gt;
&lt;br /&gt;
To establish that this quantity is symmetric up to a logarithmic factor (I𝐾(𝑋;𝑌)≈I𝐾(𝑌;𝑋)) one requires the chain rule for Kolmogorov complexity.Approximations of this quantity via compression can be used to define a distance measure to perform a hierarchical clustering of sequences without having any domain knowledge of the sequences.&lt;br /&gt;
&lt;br /&gt;
为了确定这个量在对数因子&amp;lt;math&amp;gt;\operatorname{I}_K(X;Y) \approx \operatorname{I}_K(Y;X)&amp;lt;/math&amp;gt;是对称的，需要'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; Kolmogorov复杂性的链式规则 Chain rule for Kolmogorov complexity&amp;lt;/font&amp;gt;'''。通过压缩对这个量的近似值可以用来定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;距离度量 Distance measure&amp;lt;/font&amp;gt;'''来执行序列的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;层次聚类 Hierarchical clustering&amp;lt;/font&amp;gt;'''，而不需要序列的任何领域知识。&lt;br /&gt;
&lt;br /&gt;
=== 线性相关 Linear correlation ===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Unlike correlation coefficients, such as the [[product moment correlation coefficient]], mutual information contains information about all dependence—linear and nonlinear—and not just linear dependence as the correlation coefficient measures. However, in the narrow case that the joint distribution for &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a [[bivariate normal distribution]] (implying in particular that both marginal distributions are normally distributed), there is an exact relationship between &amp;lt;math&amp;gt;\operatorname{I}&amp;lt;/math&amp;gt; and the correlation coefficient &amp;lt;math&amp;gt;\rho&amp;lt;/math&amp;gt; {{harv|Gel'fand|Yaglom|1957}}.&lt;br /&gt;
&lt;br /&gt;
Unlike correlation coefficients, such as the product moment correlation coefficient, mutual information contains information about all dependence—linear and nonlinear—and not just linear dependence as the correlation coefficient measures. However, in the narrow case that the joint distribution for &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a bivariate normal distribution (implying in particular that both marginal distributions are normally distributed), there is an exact relationship between &amp;lt;math&amp;gt;\operatorname{I}&amp;lt;/math&amp;gt; and the correlation coefficient &amp;lt;math&amp;gt;\rho&amp;lt;/math&amp;gt; .&lt;br /&gt;
&lt;br /&gt;
互信息不同于相关系数，如乘积矩相关系数，互信息包含所有相关信息ーー线性和非线性ーー而不仅仅是相关系数的线性相关。然而，在数学 x / math 和数学 y / math 的联合分布是二元正态分布(特别是边际分布都是正态分布)的狭义情况下，数学运算子{ i } / math 与相关系数 math / rho / math 之间存在精确的关系。&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I} = -\frac{1}{2} \log\left(1 - \rho^2\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The equation above can be derived as follows for a bivariate Gaussian:&lt;br /&gt;
&lt;br /&gt;
The equation above can be derived as follows for a bivariate Gaussian:&lt;br /&gt;
&lt;br /&gt;
对于双变量高斯分布，上面的公式可以推导如下:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\begin{align}&lt;br /&gt;
&lt;br /&gt;
  \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    X_1 \\&lt;br /&gt;
&lt;br /&gt;
    X_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix}  &amp;amp;\sim \mathcal{N} \left( \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    \mu_1 \\&lt;br /&gt;
&lt;br /&gt;
    \mu_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix}, \Sigma \right),\qquad&lt;br /&gt;
&lt;br /&gt;
  \Sigma = \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    \sigma^2_1           &amp;amp; \rho\sigma_1\sigma_2 \\&lt;br /&gt;
&lt;br /&gt;
    \rho\sigma_1\sigma_2 &amp;amp; \sigma^2_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix} \\&lt;br /&gt;
&lt;br /&gt;
       H(X_i) &amp;amp;= \frac{1}{2}\log\left(2\pi e \sigma_i^2\right) = \frac{1}{2} + \frac{1}{2}\log(2\pi) + \log\left(\sigma_i\right), \quad i\in\{1, 2\} \\&lt;br /&gt;
&lt;br /&gt;
  H(X_1, X_2) &amp;amp;= \frac{1}{2}\log\left[(2\pi e)^2|\Sigma|\right] = 1 + \log(2\pi) + \log\left(\sigma_1 \sigma_2\right) + \frac{1}{2}\log\left(1 - \rho^2\right) \\&lt;br /&gt;
&lt;br /&gt;
\end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Therefore, &lt;br /&gt;
&lt;br /&gt;
Therefore, &lt;br /&gt;
&lt;br /&gt;
所以,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
  \operatorname{I}\left(X_1; X_2\right) &lt;br /&gt;
&lt;br /&gt;
= H\left(X_1\right) + H\left(X_2\right) - H\left(X_1, X_2\right)  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= -\frac{1}{2}\log\left(1 - \rho^2\right)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 对于离散数据 For discrete data ===&lt;br /&gt;
&lt;br /&gt;
When &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are limited to be in a discrete number of states, observation data is summarized in a [[contingency table]], with row variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;i&amp;lt;/math&amp;gt;) and column variable &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;j&amp;lt;/math&amp;gt;).  Mutual information is one of the measures of [[association (statistics)|association]] or [[correlation and dependence|correlation]] between the row and column variables.  Other measures of association include [[Pearson's chi-squared test]] statistics, [[G-test]] statistics, etc. In fact, mutual information is equal to [[G-test]] statistics divided by &amp;lt;math&amp;gt;2N&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt; is the sample size.&lt;br /&gt;
&lt;br /&gt;
When 𝑋 and 𝑌 are limited to be in a discrete number of states, observation data is summarized in a contingency table, with row variable 𝑋 (or 𝑖) and column variable 𝑌 (or 𝑗). Mutual information is one of the measures of association or correlation between the row and column variables. Other measures of association include Pearson's chi-squared test statistics, G-test statistics, etc. In fact, mutual information is equal to G-test statistics divided by 2𝑁, where 𝑁 is the sample size.&lt;br /&gt;
&lt;br /&gt;
当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;被限制为离散状态时，观测数据汇总在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;列联表 Contingency table&amp;lt;/font&amp;gt;'''中，列变量为行变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;i&amp;lt;/math&amp;gt;）和列变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;j&amp;lt;/math&amp;gt;）。互信息是行和列变量之间关联或相关性的度量之一。其他关联度量包括Pearson卡方检验统计量、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;G检验 G-test&amp;lt;/font&amp;gt;'''统计量等。事实上，互信息等于G检验统计量除以&amp;lt;math&amp;gt;2N&amp;lt;/math&amp;gt;，其中&amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt;为样本量。&lt;br /&gt;
&lt;br /&gt;
== 应用 Applications ==&lt;br /&gt;
&lt;br /&gt;
In many applications, one wants to maximize mutual information (thus increasing dependencies), which is often equivalent to minimizing [[conditional entropy]].  Examples include:&lt;br /&gt;
&lt;br /&gt;
In many applications, one wants to maximize mutual information (thus increasing dependencies), which is often equivalent to minimizing conditional entropy.  Examples include:&lt;br /&gt;
&lt;br /&gt;
在许多应用场景中，需要最大化互信息（从而增加依赖关系），这通常相当于最小化条件熵。例如:&lt;br /&gt;
&lt;br /&gt;
* In [[search engine technology]], mutual information between phrases and contexts is used as a feature for [[k-means clustering]] to discover semantic clusters (concepts).&amp;lt;ref name=magerman&amp;gt;[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.78.4178&amp;amp;rep=rep1&amp;amp;type=pdf Parsing a Natural Language Using Mutual Information Statistics] by David M. Magerman and Mitchell P. Marcus&amp;lt;/ref&amp;gt;  For example, the mutual information of a bigram might be calculated as:&lt;br /&gt;
&lt;br /&gt;
{{Equation box 1&lt;br /&gt;
&lt;br /&gt;
|indent=::&lt;br /&gt;
&lt;br /&gt;
|equation=&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;MI(x,y) = \log \frac{P_{X,Y}(x,y)}{P_X(x) P_Y(y)} \approx log \frac{\frac{f_{XY}}{B}}{\frac{f_X}{U} \frac{f_Y}{U}} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
|cellpadding= 6&lt;br /&gt;
&lt;br /&gt;
|border&lt;br /&gt;
&lt;br /&gt;
|border colour = #0073CF&lt;br /&gt;
&lt;br /&gt;
|background colour=#F5FFFA}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt; is the number of times the bigram xy appears in the corpus, &amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt; is the number of times the unigram x appears in the corpus, B is the total number of bigrams, and U is the total number of unigrams.&amp;lt;ref name=magerman/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 where &amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt; is the number of times the bigram xy appears in the corpus, &amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt; is the number of times the unigram x appears in the corpus, B is the total number of bigrams, and U is the total number of unigrams.&lt;br /&gt;
&lt;br /&gt;
其中&amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt;是 bigram XY 在语料库中出现的次数，&amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt;是 unigram x 在语料库中出现的次数，b 是 bigrams 的总数，u 是 unigrams 的总数。&lt;br /&gt;
&lt;br /&gt;
* In [[telecommunications]], the [[channel capacity]] is equal to the mutual information, maximized over all input distributions.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In telecommunications, the channel capacity is equal to the mutual information, maximized over all input distributions.&lt;br /&gt;
&lt;br /&gt;
在所有的通信信道中，信息的最大化分配是在所有的通信信道上进行的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Discriminative model|Discriminative training]] procedures for [[hidden Markov model]]s have been proposed based on the [[maximum mutual information]] (MMI) criterion.&lt;br /&gt;
&lt;br /&gt;
Discriminative training procedures for hidden Markov models have been proposed based on the maximum mutual information (MMI) criterion.&lt;br /&gt;
&lt;br /&gt;
现在已经提出了基于最大互信息（MMI）准则的隐马尔可夫模型判别训练方法。&lt;br /&gt;
&lt;br /&gt;
* [[Nucleic acid secondary structure|RNA secondary structure]] prediction from a [[multiple sequence alignment]].&lt;br /&gt;
&lt;br /&gt;
RNA secondary structure prediction from a multiple sequence alignment.&lt;br /&gt;
&lt;br /&gt;
从多序列比对预测RNA二级结构。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Phylogenetic profiling]] prediction from pairwise present and disappearance of functionally link [[gene]]s.&lt;br /&gt;
&lt;br /&gt;
Phylogenetic profiling prediction from pairwise present and disappearance of functionally link genes.&lt;br /&gt;
&lt;br /&gt;
功能连锁基因成对存在与消失的系统发育模式预测。&lt;br /&gt;
&lt;br /&gt;
* Mutual information has been used as a criterion for [[feature selection]] and feature transformations in [[machine learning]]. It can be used to characterize both the relevance and redundancy of variables, such as the [[minimum redundancy feature selection]].&lt;br /&gt;
&lt;br /&gt;
Mutual information has been used as a criterion for feature selection and feature transformations in machine learning. It can be used to characterize both the relevance and redundancy of variables, such as the minimum redundancy feature selection.&lt;br /&gt;
&lt;br /&gt;
在机器学习中，互信息作为特征选择和特征转换的准则。它可以用来表征变量的相关性和冗余性，例如最小冗余特征选择。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Mutual information is used in determining the similarity of two different [[cluster analysis|clusterings]] of a dataset.  As such, it provides some advantages over the traditional [[Rand index]].&lt;br /&gt;
&lt;br /&gt;
Mutual information is used in determining the similarity of two different clusterings of a dataset. As such, it provides some advantages over the traditional Rand index.&lt;br /&gt;
&lt;br /&gt;
互信息用于确定数据集中两个不同聚类的相似性。因此，它与传统的Rand指数相比具有一定的优势。&lt;br /&gt;
&lt;br /&gt;
* Mutual information of words is often used as a significance function for the computation of [[collocation]]s in [[corpus linguistics]]. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt; words of another, goes up with &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Mutual information of words is often used as a significance function for the computation of collocations in corpus linguistics. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within 𝑁 words of another, goes up with 𝑁.&lt;br /&gt;
&lt;br /&gt;
在语料库语言学中，词的互信息常常被用作计算搭配的意义函数。这增加了复杂性，即没有一个单词实例是两个不同单词的实例；相反，我们统计两个单词相邻或非常接近的实例；这稍微使计算复杂化，因为一个单词出现在另一个单词的𝑁单词中的预期概率会增加。&lt;br /&gt;
&lt;br /&gt;
* Mutual information is used in [[medical imaging]] for [[image registration]]. Given a reference image (for example, a brain scan), and a second image which needs to be put into the same [[coordinate system]] as the reference image, this image is deformed until the mutual information between it and the reference image is maximized.&lt;br /&gt;
&lt;br /&gt;
Mutual information is used in medical imaging for image registration. Given a reference image (for example, a brain scan), and a second image which needs to be put into the same coordinate system as the reference image, this image is deformed until the mutual information between it and the reference image is maximized.&lt;br /&gt;
&lt;br /&gt;
在医学成像中，利用互信息进行图像配准。给定一个参考图像（例如，脑部扫描），以及需要将第二个图像放入与参考图像相同的坐标系中，该图像会发生变形，直到其与参考图像之间的互信息最大化。&lt;br /&gt;
&lt;br /&gt;
* Detection of [[phase synchronization]] in [[time series]] analysis&lt;br /&gt;
&lt;br /&gt;
Detection of phase synchronization in time series analysis&lt;br /&gt;
&lt;br /&gt;
时间序列分析中的相位同步检测。&lt;br /&gt;
&lt;br /&gt;
* In the [[infomax]] method for neural-net and other machine learning, including the infomax-based [[Independent component analysis]] algorithm&lt;br /&gt;
&lt;br /&gt;
In the infomax method for neural-net and other machine learning, including the infomax-based Independent component analysis algorithm.&lt;br /&gt;
&lt;br /&gt;
在infomax方法中用于神经网络等机器学习，包括基于infomax的独立分量分析算法&lt;br /&gt;
&lt;br /&gt;
* Average mutual information in [[delay embedding theorem]] is used for determining the ''embedding delay'' parameter.&lt;br /&gt;
&lt;br /&gt;
Average mutual information in delay embedding theorem is used for determining the embedding delay parameter.&lt;br /&gt;
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利用延迟嵌入定理中的平均互信息确定嵌入延迟参数。&lt;br /&gt;
&lt;br /&gt;
* Mutual information between [[genes]] in [[microarray|expression microarray]] data is used by the ARACNE algorithm for reconstruction of [[gene regulatory network|gene networks]].&lt;br /&gt;
&lt;br /&gt;
Mutual information between genes in expression microarray data is used by the ARACNE algorithm for reconstruction of gene networks.&lt;br /&gt;
&lt;br /&gt;
ARACNE算法利用表达微阵列数据中基因间的互信息来重构基因网络。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* In [[statistical mechanics]], [[Loschmidt's paradox]] may be expressed in terms of mutual information.&amp;lt;ref name=everett56&amp;gt;[[Hugh Everett]] [https://www.pbs.org/wgbh/nova/manyworlds/pdf/dissertation.pdf Theory of the Universal Wavefunction], Thesis, Princeton University, (1956, 1973), pp 1–140 (page 30)&amp;lt;/ref&amp;gt;&amp;lt;ref name=everett57&amp;gt;{{cite journal | last1 = Everett | first1 = Hugh | authorlink = Hugh Everett | year = 1957 | title = Relative State Formulation of Quantum Mechanics | url = http://www.univer.omsk.su/omsk/Sci/Everett/paper1957.html | journal = Reviews of Modern Physics | volume = 29 | issue = 3 | pages = 454–462 | doi = 10.1103/revmodphys.29.454 | bibcode = 1957RvMP...29..454E | access-date = 2012-07-16 | archive-url = https://web.archive.org/web/20111027191052/http://www.univer.omsk.su/omsk/Sci/Everett/paper1957.html | archive-date = 2011-10-27 | url-status = dead }}&amp;lt;/ref&amp;gt; Loschmidt noted that it must be impossible to determine a physical law which lacks [[time reversal symmetry]] (e.g. the [[second law of thermodynamics]]) only from physical laws which have this symmetry. He pointed out that the [[H-theorem]] of [[Boltzmann]] made the assumption that the velocities of particles in a gas  were permanently uncorrelated, which removed the time symmetry inherent in the H-theorem. It can be shown that if a system is described by a probability density in [[phase space]], then [[Liouville's theorem (Hamiltonian)|Liouville's theorem]] implies that the joint information (negative of the joint entropy) of the distribution remains constant in time. The joint information is equal to the mutual information plus the sum of all the marginal information (negative of the marginal entropies) for each particle coordinate. Boltzmann's assumption amounts to ignoring the mutual information in the calculation of entropy, which yields the thermodynamic entropy (divided by Boltzmann's constant).&lt;br /&gt;
&lt;br /&gt;
In statistical mechanics, Loschmidt's paradox may be expressed in terms of mutual information.[27][28] Loschmidt noted that it must be impossible to determine a physical law which lacks time reversal symmetry (e.g. the second law of thermodynamics) only from physical laws which have this symmetry. He pointed out that the H-theorem of Boltzmann made the assumption that the velocities of particles in a gas were permanently uncorrelated, which removed the time symmetry inherent in the H-theorem. It can be shown that if a system is described by a probability density in phase space, then Liouville's theorem implies that the joint information (negative of the joint entropy) of the distribution remains constant in time. The joint information is equal to the mutual information plus the sum of all the marginal information (negative of the marginal entropies) for each particle coordinate. Boltzmann's assumption amounts to ignoring the mutual information in the calculation of entropy, which yields the thermodynamic entropy (divided by Boltzmann's constant).&lt;br /&gt;
&lt;br /&gt;
在统计力学中，Loschmidt悖论可以用相互信息来表示。Loschmidt指出，只有从具有这种对称性的物理定律中确定缺乏时间反转对称性的物理定律（例如热力学第二定律）是不可能的。他指出，玻尔兹曼的H-定理假设气体中粒子的速度是永久不相关的，这就消除了H-定理固有的时间对称性。可以证明，如果系统在相空间中用概率密度来描述，那么Liouville定理意味着分布的联合信息（联合熵的负）在时间上保持不变。关节信息等于互信息加上每个粒子坐标的所有边缘信息（负的边缘熵）之和。玻尔兹曼的假设相当于在熵的计算中忽略了相互信息，从而得到了热力学熵（除以玻尔兹曼常数）。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* The mutual information is used to learn the structure of [[Bayesian network]]s/[[dynamic Bayesian network]]s, which is thought to explain the causal relationship between random variables, as exemplified by the GlobalMIT toolkit:&amp;lt;ref&amp;gt;{{Google Code|globalmit|GlobalMIT}}&amp;lt;/ref&amp;gt; learning the globally optimal dynamic Bayesian network with the Mutual Information Test criterion.&lt;br /&gt;
&lt;br /&gt;
The mutual information is used to learn the structure of Bayesian networks/dynamic Bayesian networks, which is thought to explain the causal relationship between random variables, as exemplified by the GlobalMIT toolkit:[29] learning the globally optimal dynamic Bayesian network with the Mutual Information Test criterion.&lt;br /&gt;
&lt;br /&gt;
互信息用于学习贝叶斯网络/动态贝叶斯网络的结构，被认为是用来解释随机变量之间的因果关系，如GlobalMIT工具包[29]用互信息检验准则学习全局最优动态贝叶斯网络。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Popular cost function in [[decision tree learning]].&lt;br /&gt;
&lt;br /&gt;
Popular cost function in decision tree learning.&lt;br /&gt;
&lt;br /&gt;
作为决策树学习中常用的代价函数。&lt;br /&gt;
&lt;br /&gt;
* The mutual information is used in [[cosmology]] to test the influence of large-scale environments on galaxy properties in the [[Galaxy Zoo]].&lt;br /&gt;
&lt;br /&gt;
The mutual information is used in cosmology to test the influence of large-scale environments on galaxy properties in the Galaxy Zoo.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;星系 Galaxy Zoo&amp;lt;/font&amp;gt;'''中，利用互信息在宇宙学中测试大尺度环境对星系性质的影响。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* The mutual information was used in [[Solar Physics]]  to derive the solar [[differential rotation]] profile, a travel-time deviation map for sunspots, and a time–distance diagram from quiet-Sun measurements&amp;lt;ref&amp;gt;{{cite journal|last1=Keys|first1=Dustin|last2=Kholikov|first2=Shukur|last3=Pevtsov|first3=Alexei A.|title=Application of Mutual Information Methods in Time Distance Helioseismology|journal=Solar Physics|date=February 2015|volume=290|issue=3|pages=659–671|doi=10.1007/s11207-015-0650-y|arxiv=1501.05597|bibcode=2015SoPh..290..659K}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The mutual information was used in Solar Physics to derive the solar differential rotation profile, a travel-time deviation map for sunspots, and a time–distance diagram from quiet-Sun measurements.&lt;br /&gt;
&lt;br /&gt;
在太阳物理学中，相互信息被用于推导太阳差分自转剖面图、太阳黑子的旅行时间偏差图和安静太阳测量的时间-距离图。&lt;br /&gt;
&lt;br /&gt;
* Used in Invariant Information Clustering to automatically train neural network classifiers and image segmenters given no labelled data.&amp;lt;ref name=iic&amp;gt;[https://arxiv.org/abs/1807.06653 Invariant Information Clustering for Unsupervised Image Classification and Segmentation] by Xu Ji, Joao Henriques and Andrea Vedaldi&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Used in Invariant Information Clustering to automatically train neural network classifiers and image segmenters given no labelled data.&lt;br /&gt;
&lt;br /&gt;
用于不变信息聚类，在没有标记数据的情况下自动训练神经网络分类器和图像分割器。&lt;br /&gt;
&lt;br /&gt;
== 参见 See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Pointwise mutual information]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Quantum mutual information]]&lt;br /&gt;
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&lt;br /&gt;
== 注释 Notes ==&lt;br /&gt;
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&amp;lt;references /&amp;gt;&lt;br /&gt;
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== 参考资料 References ==&lt;br /&gt;
&lt;br /&gt;
* {{cite journal|last1=Baudot|first1=P.|last2=Tapia|first2=M.|last3=Bennequin|first3=D.|last4=Goaillard|first4=J.M.|title=Topological Information Data Analysis|journal=Entropy|volume=21|issue=9|at=869|year=2019|doi= 10.3390/e21090869|bibcode=2019Entrp..21..869B|arxiv=1907.04242}}&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
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  | last1 = Cilibrasi&lt;br /&gt;
&lt;br /&gt;
  | last1 = Cilibrasi&lt;br /&gt;
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1塞利布拉西&lt;br /&gt;
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  | first1 = R.&lt;br /&gt;
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  | first1 = R.&lt;br /&gt;
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1 r.&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
| first2保罗&lt;br /&gt;
&lt;br /&gt;
  | last2 = Vitányi&lt;br /&gt;
&lt;br /&gt;
  | last2 = Vitányi&lt;br /&gt;
&lt;br /&gt;
  | last2 = Vitányi&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
压缩聚类&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | journal = IEEE Transactions on Information Theory&lt;br /&gt;
&lt;br /&gt;
美国电气和电子工程师协会信息理论杂志&lt;br /&gt;
&lt;br /&gt;
  | volume = 51&lt;br /&gt;
&lt;br /&gt;
  | volume = 51&lt;br /&gt;
&lt;br /&gt;
第51卷&lt;br /&gt;
&lt;br /&gt;
  | issue = 4&lt;br /&gt;
&lt;br /&gt;
  | issue = 4&lt;br /&gt;
&lt;br /&gt;
第四期&lt;br /&gt;
&lt;br /&gt;
  | pages = 1523–1545&lt;br /&gt;
&lt;br /&gt;
  | pages = 1523–1545&lt;br /&gt;
&lt;br /&gt;
第1523-1545页&lt;br /&gt;
&lt;br /&gt;
  | year = 2005&lt;br /&gt;
&lt;br /&gt;
  | year = 2005&lt;br /&gt;
&lt;br /&gt;
2005年&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | url = http://www.cwi.nl/~paulv/papers/cluster.pdf&lt;br /&gt;
&lt;br /&gt;
Http://www.cwi.nl/~paulv/papers/cluster.pdf&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
10.1109 / TIT. 2005.844059&lt;br /&gt;
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&lt;br /&gt;
不会有事的&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
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  }}&lt;br /&gt;
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  }}&lt;br /&gt;
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&lt;br /&gt;
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* {{cite journal|first1=I.M.|last1=Gel'fand|first2=A.M.|last2=Yaglom|year=1957|title=Calculation of amount of information about a random function contained in another such function|journal= American Mathematical Society Translations: Series 2 |volume = 12 | pages = 199–246 |ref=harv}} English translation of original in ''Uspekhi Matematicheskikh Nauk'' '''12'''&amp;amp;nbsp;(1):&amp;amp;nbsp;3-52.&lt;br /&gt;
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* {{cite book|last=Guiasu|first=Silviu|year=1977|title=Information Theory with Applications|publisher=McGraw-Hill, New York|isbn=978-0-07-025109-0|ref=harv}}&lt;br /&gt;
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  | last1 = Li&lt;br /&gt;
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  | last1 = Li&lt;br /&gt;
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最后一个李&lt;br /&gt;
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  | first1 = Ming&lt;br /&gt;
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  | first1 = Ming&lt;br /&gt;
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1 Ming&lt;br /&gt;
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  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
| first2保罗&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
标题: 柯氏复杂性及其应用介绍&lt;br /&gt;
&lt;br /&gt;
  | location = New York&lt;br /&gt;
&lt;br /&gt;
  | location = New York&lt;br /&gt;
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| 地点: 纽约&lt;br /&gt;
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  | publisher = [[Springer-Verlag]]&lt;br /&gt;
&lt;br /&gt;
  | publisher = Springer-Verlag&lt;br /&gt;
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| 出版商 Springer-Verlag&lt;br /&gt;
&lt;br /&gt;
  |date=February 1997&lt;br /&gt;
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  |date=February 1997&lt;br /&gt;
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1997年2月&lt;br /&gt;
&lt;br /&gt;
  | isbn = 978-0-387-94868-3&lt;br /&gt;
&lt;br /&gt;
  | isbn = 978-0-387-94868-3&lt;br /&gt;
&lt;br /&gt;
[国际标准图书编号978-0-387-94868-3]&lt;br /&gt;
&lt;br /&gt;
  | ref=harv }}&lt;br /&gt;
&lt;br /&gt;
  | ref=harv }}&lt;br /&gt;
&lt;br /&gt;
| ref harv }&lt;br /&gt;
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* David J. C. MacKay. ''[http://www.inference.phy.cam.ac.uk/mackay/itila/book.html Information Theory, Inference, and Learning Algorithms]'' Cambridge: Cambridge University Press, 2003. {{isbn|0-521-64298-1}} (available free online)&lt;br /&gt;
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* [[Athanasios Papoulis]]. ''Probability, Random Variables, and Stochastic Processes'', second edition. New York: McGraw-Hill, 1984. ''(See Chapter 15.)''&lt;br /&gt;
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* {{cite journal|author=Peng, H.C. |author2=Long, F. |author3=Ding, C. |lastauthoramp=yes |title=Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy|journal=IEEE Transactions on Pattern Analysis and Machine Intelligence|volume=27|issue=8|pages=1226–1238|year=2005|url=http://research.janelia.org/peng/proj/mRMR/index.htm|doi=10.1109/tpami.2005.159|pmid=16119262|citeseerx=10.1.1.63.5765}}&lt;br /&gt;
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* {{cite journal|author1=Andre S. Ribeiro |author2=Stuart A. Kauffman |author3=Jason Lloyd-Price |author4=Bjorn Samuelsson |author5=Joshua Socolar  |last-author-amp=yes |year=2008|title=Mutual Information in Random Boolean models of regulatory networks|journal=Physical Review E|volume=77|issue=1|pages=011901 |arxiv=0707.3642|doi=10.1103/physreve.77.011901 |pmid=18351870 |bibcode=2008PhRvE..77a1901R}}&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
  | last1 = Wells&lt;br /&gt;
&lt;br /&gt;
  | last1 = Wells&lt;br /&gt;
&lt;br /&gt;
1 Wells&lt;br /&gt;
&lt;br /&gt;
  | first1 = W.M. III&lt;br /&gt;
&lt;br /&gt;
  | first1 = W.M. III&lt;br /&gt;
&lt;br /&gt;
首先是 w.m。三&lt;br /&gt;
&lt;br /&gt;
  | last2 = Viola&lt;br /&gt;
&lt;br /&gt;
  | last2 = Viola&lt;br /&gt;
&lt;br /&gt;
2 Viola&lt;br /&gt;
&lt;br /&gt;
  | first2 = P.&lt;br /&gt;
&lt;br /&gt;
  | first2 = P.&lt;br /&gt;
&lt;br /&gt;
| first2 p.&lt;br /&gt;
&lt;br /&gt;
  | last3 = Atsumi&lt;br /&gt;
&lt;br /&gt;
  | last3 = Atsumi&lt;br /&gt;
&lt;br /&gt;
3 Atsumi&lt;br /&gt;
&lt;br /&gt;
  | first3 = H.&lt;br /&gt;
&lt;br /&gt;
  | first3 = H.&lt;br /&gt;
&lt;br /&gt;
第一个3 h。&lt;br /&gt;
&lt;br /&gt;
  | last4 = Nakajima&lt;br /&gt;
&lt;br /&gt;
  | last4 = Nakajima&lt;br /&gt;
&lt;br /&gt;
| 最后4名中岛&lt;br /&gt;
&lt;br /&gt;
  | first4 = S.&lt;br /&gt;
&lt;br /&gt;
  | first4 = S.&lt;br /&gt;
&lt;br /&gt;
4 s.&lt;br /&gt;
&lt;br /&gt;
  | last5 = Kikinis&lt;br /&gt;
&lt;br /&gt;
  | last5 = Kikinis&lt;br /&gt;
&lt;br /&gt;
最后5个 Kikinis&lt;br /&gt;
&lt;br /&gt;
  | first5 = R.&lt;br /&gt;
&lt;br /&gt;
  | first5 = R.&lt;br /&gt;
&lt;br /&gt;
| first5 r.&lt;br /&gt;
&lt;br /&gt;
  | title = Multi-modal volume registration by maximization of mutual information&lt;br /&gt;
&lt;br /&gt;
  | title = Multi-modal volume registration by maximization of mutual information&lt;br /&gt;
&lt;br /&gt;
最大化互信息的多模态卷注册&lt;br /&gt;
&lt;br /&gt;
  | journal = Medical Image Analysis&lt;br /&gt;
&lt;br /&gt;
  | journal = Medical Image Analysis&lt;br /&gt;
&lt;br /&gt;
医学图像分析&lt;br /&gt;
&lt;br /&gt;
  | volume = 1&lt;br /&gt;
&lt;br /&gt;
  | volume = 1&lt;br /&gt;
&lt;br /&gt;
第一卷&lt;br /&gt;
&lt;br /&gt;
  | issue = 1&lt;br /&gt;
&lt;br /&gt;
  | issue = 1&lt;br /&gt;
&lt;br /&gt;
第一期&lt;br /&gt;
&lt;br /&gt;
  | pages = 35–51&lt;br /&gt;
&lt;br /&gt;
  | pages = 35–51&lt;br /&gt;
&lt;br /&gt;
第35-51页&lt;br /&gt;
&lt;br /&gt;
  | year = 1996&lt;br /&gt;
&lt;br /&gt;
  | year = 1996&lt;br /&gt;
&lt;br /&gt;
1996年&lt;br /&gt;
&lt;br /&gt;
  | pmid = 9873920&lt;br /&gt;
&lt;br /&gt;
  | pmid = 9873920&lt;br /&gt;
&lt;br /&gt;
9873920&lt;br /&gt;
&lt;br /&gt;
  | doi = 10.1016/S1361-8415(01)80004-9&lt;br /&gt;
&lt;br /&gt;
  | doi = 10.1016/S1361-8415(01)80004-9&lt;br /&gt;
&lt;br /&gt;
| doi 10.1016 / S1361-8415(01)80004-9&lt;br /&gt;
&lt;br /&gt;
  | url = http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | url = http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
Http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | ref = harv&lt;br /&gt;
&lt;br /&gt;
  | ref = harv&lt;br /&gt;
&lt;br /&gt;
不会有事的&lt;br /&gt;
&lt;br /&gt;
  | access-date = 2010-08-05&lt;br /&gt;
&lt;br /&gt;
  | access-date = 2010-08-05&lt;br /&gt;
&lt;br /&gt;
2010-08-05&lt;br /&gt;
&lt;br /&gt;
  | archive-url = https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | archive-url = https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
| 档案-网址 https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
&lt;br /&gt;
  | archive-date = 2008-09-06&lt;br /&gt;
&lt;br /&gt;
  | archive-date = 2008-09-06&lt;br /&gt;
&lt;br /&gt;
2008-09-06&lt;br /&gt;
&lt;br /&gt;
  | url-status = dead&lt;br /&gt;
&lt;br /&gt;
  | url-status = dead&lt;br /&gt;
&lt;br /&gt;
状态死机&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
&lt;br /&gt;
* {{cite journal | last1 = Pandey | first1 = Biswajit | last2 = Sarkar | first2 = Suman | year = 2017 | title = How much a galaxy knows about its large-scale environment?: An information theoretic perspective | url = | journal = Monthly Notices of the Royal Astronomical Society Letters| volume = 467 | issue = 1| page = L6 | doi=10.1093/mnrasl/slw250| arxiv = 1611.00283| bibcode = 2017MNRAS.467L...6P}}&lt;br /&gt;
&lt;br /&gt;
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[[Category:Information theory]]&lt;br /&gt;
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Category:Information theory&lt;br /&gt;
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范畴: 信息论&lt;br /&gt;
&lt;br /&gt;
[[Category:Entropy and information]]&lt;br /&gt;
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Category:Entropy and information&lt;br /&gt;
&lt;br /&gt;
类别: 熵和信息&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Mutual information]]. Its edit history can be viewed at [[互信息/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E4%BA%92%E4%BF%A1%E6%81%AF&amp;diff=13094</id>
		<title>互信息</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E4%BA%92%E4%BF%A1%E6%81%AF&amp;diff=13094"/>
		<updated>2020-08-20T16:13:51Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{Information theory}}&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）在篇首注明由谁谁翻译生产~&lt;br /&gt;
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[[File:Entropy-mutual-information-relative-entropy-relation-diagram.svg|thumb|256px|right|[[Venn diagram]] showing additive and subtractive relationships various information measures associated with correlated variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. The area contained by both circles is the [[joint entropy]] &lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）图片应该按照[图1：英文+中文]&lt;br /&gt;
&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;. The circle on the left (red and violet) is the [[Entropy (information theory)|individual entropy]] &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;, with the red being the [[conditional entropy]] &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;. The circle on the right (blue and violet) is &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;, with the blue being &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;. The violet is the [[mutual information]] &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;.  这里的维恩图显示了各种信息间的交并补运算关系关系，这些信息都可以用来度量变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的各种相关性。图中所有面积（包括两个圆圈）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''联合熵 Joint entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;。左侧的整个圆圈表示变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''独立熵 Individual entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;，红色（差集）部分表示X的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''条件熵 Conditional entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;。右侧的整个圆圈表示变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的独立熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;，蓝色（差集）部分表示X的条件熵&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;。两个圆中间的交集部分（紫色的部分）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''互信息 Mutual information，MI'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;）。]]&lt;br /&gt;
&lt;br /&gt;
Venn diagram showing additive and subtractive relationships various information measures associated with correlated variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. The area contained by both circles is the joint entropy &amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;. The circle on the left (red and violet) is the individual entropy &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;, with the red being the conditional entropy &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;. The circle on the right (blue and violet) is &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;, with the blue being &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;. The violet is the mutual information &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Venn diagram showing additive and subtractive relationships various information measures associated with correlated variables 𝑋 and 𝑌. The area contained by both circles is the joint entropy H(𝑋,𝑌). The circle on the left (red and violet) is the individual entropy H(𝑋), with the red being the conditional entropy H(𝑋|𝑌). The circle on the right (blue and violet) is H(𝑌), with the blue being H(𝑌|𝑋). The violet is the mutual information I(𝑋;𝑌).&lt;br /&gt;
&lt;br /&gt;
这里的维恩图显示了各种信息间的交并补运算关系关系，这些信息都可以用来度量变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的各种相关性。图中所有面积（包括两个圆圈）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''联合熵 Joint entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;。左侧的整个圆圈表示变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''独立熵 Individual entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;，红色（差集）部分表示X的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''条件熵 Conditional entropy'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;。右侧的整个圆圈表示变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的独立熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;，蓝色（差集）部分表示X的条件熵&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;。两个圆中间的交集部分（紫色的部分）表示二者的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''互信息 Mutual information，MI'''&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;）。&lt;br /&gt;
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In [[probability theory]] and [[information theory]], the '''mutual information''' ('''MI''') of two [[random variable]]s is a measure of the mutual [[Statistical dependence|dependence]] between the two variables. More specifically, it quantifies the &amp;quot;amount of information&amp;quot; (in [[unit of measurement|unit]]s such as [[shannon (unit)|shannon]]s, commonly called bits) obtained about one random variable through observing the other random variable.  The concept of mutual information is intricately linked to that of [[Entropy (information theory)|entropy]] of a random variable, a fundamental notion in information theory that quantifies the expected &amp;quot;[[Information content|amount of information]]&amp;quot; held in a random variable.&lt;br /&gt;
&lt;br /&gt;
In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically, it quantifies the &amp;quot;amount of information&amp;quot; (in units such as shannons, commonly called bits) obtained about one random variable through observing the other random variable.  The concept of mutual information is intricately linked to that of entropy of a random variable, a fundamental notion in information theory that quantifies the expected &amp;quot;amount of information&amp;quot; held in a random variable.&lt;br /&gt;
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在&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''概率论 Probability theory'''&amp;lt;/font&amp;gt;和&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''信息论 Information theory'''&amp;lt;/font&amp;gt;理论中，两个随机变量的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; '''互信息 Mutual Information，MI'''&amp;lt;/font&amp;gt;是两个变量之间相互依赖程度的度量。更具体地说，它量化了通过观察一个随机变量而可以获得的关于另一个随机变量的“信息量”（单位如''香农 Shannons''，通常称为比特）。互信息的概念与随机变量的熵之间有着错综复杂的联系，熵是信息论中的一个基本概念，它量化了随机变量中所包含的预期“信息量”。&lt;br /&gt;
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Not limited to real-valued random variables and linear dependence like the [[correlation coefficient]], MI is more general and determines how different the [[joint distribution]] of the pair &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; is to the product of the marginal distributions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. MI is the [[expected value]] of the [[pointwise mutual information]] (PMI).&lt;br /&gt;
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Not limited to real-valued random variables and linear dependence like the correlation coefficient, MI is more general and determines how different the joint distribution of the pair &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; is to the product of the marginal distributions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. MI is the expected value of the pointwise mutual information (PMI).&lt;br /&gt;
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不仅限于实值随机变量和线性依赖之类的的相关系数，互信息表示的关系其实更加普遍，它决定了一对变量&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;的联合分布与&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''边缘分布 Marginal distributions'''&amp;lt;/font&amp;gt;之积的不同程度。互信息是'''点互信息 Pointwise mutual information，PMI'''的期望值。&lt;br /&gt;
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Mutual Information is also known as [[information gain]].&lt;br /&gt;
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Mutual Information is also known as information gain.&lt;br /&gt;
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互信息也称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''信息增益 Information gain'''&amp;lt;/font&amp;gt;。&lt;br /&gt;
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== 定义 Definition ==&lt;br /&gt;
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Let &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; be a pair of random variables with values over the space &amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;. If their joint distribution is &amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt; and the marginal distributions are &amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;, the mutual information is defined as&lt;br /&gt;
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Let &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; be a pair of random variables with values over the space &amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;. If their joint distribution is &amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt; and the marginal distributions are &amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;, the mutual information is defined as&lt;br /&gt;
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设一对随机变量&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;的参数空间为&amp;lt;math&amp;gt;\mathcal{X}\times\mathcal{Y}&amp;lt;/math&amp;gt;。若它们之间的的联合概率分布为&amp;lt;math&amp;gt;P_{(X,Y)}&amp;lt;/math&amp;gt;，边缘分布分别为&amp;lt;math&amp;gt;P_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;P_Y&amp;lt;/math&amp;gt;，则它们之间的互信息定义为：&lt;br /&gt;
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[[文件:MI pic1.png|左|缩略图]]&lt;br /&gt;
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where &amp;lt;math&amp;gt;D_{\mathrm{KL}}&amp;lt;/math&amp;gt; is the [[Kullback–Leibler divergence]].&lt;br /&gt;
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其中&amp;lt;math&amp;gt;D_{\mathrm{KL}}&amp;lt;/math&amp;gt;表示&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''相对熵 Relative entropy，又称Kullback-Leibler散度'''&amp;lt;/font&amp;gt;。&lt;br /&gt;
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Notice, as per property of the [[Kullback–Leibler divergence]], that &amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt; is equal to zero precisely when the joint distribution coincides with the product of the marginals, i.e. when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent (and hence observing &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; tells you nothing about &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;In general &amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt; is non-negative, it is a measure of the price for encoding &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt; as a pair of independent random variables, when in reality they are not.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
需要注意的是，根据Kullback–Leibler散度的性质，当两个随机变量的联合分布与其分别的边缘分布的乘积相等时，即当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相互独立的时，&amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt;等于零（因此已知&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的信息并不能得到任何关于&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的信息）。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;一般来说，&amp;lt;math&amp;gt;I(X;Y)&amp;lt;/math&amp;gt;是非负的，因为它是将&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;作为一对独立随机变量来编码进而来进行价格（价值）度量的，但实际上它们并不一定是非负的。&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
== 关于离散分布的PMF In terms of PMFs for discrete distributions ==&lt;br /&gt;
&lt;br /&gt;
The mutual information of two jointly discrete random variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is calculated as a double sum:&amp;lt;ref name=cover1991&amp;gt;{{cite book|last1=Cover|first1=T.M.|last2=Thomas|first2=J.A.|title=Elements of Information Theory|url=https://archive.org/details/elementsofinform0000cove|url-access=registration|date=1991|isbn=978-0-471-24195-9|edition=Wiley}}&amp;lt;/ref&amp;gt;{{rp|20}}&lt;br /&gt;
&lt;br /&gt;
The mutual information of two jointly discrete random variables &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is calculated as a double sum:&lt;br /&gt;
&lt;br /&gt;
两个联合分布的离散型随机变量X和Y的互信息计算表现为双和的形式：&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic2.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is the [[joint distribution|joint probability ''mass'' function]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the [[marginal probability]] mass functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is the joint probability mass function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability mass functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;概率质量函数 Probability mass functions&amp;lt;/font&amp;gt;'''，而&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt;分别是数学&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边缘概率质量函数 Marginal probability mass functions&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
== 连续分布的PDF In terms of PDFs for continuous distributions ==&lt;br /&gt;
&lt;br /&gt;
In the case of jointly continuous random variables, the double sum is replaced by a [[double integral]]:&amp;lt;ref name=cover1991 /&amp;gt;{{rp|251}}&lt;br /&gt;
&lt;br /&gt;
In the case of jointly continuous random variables, the double sum is replaced by a double integral:&lt;br /&gt;
&lt;br /&gt;
在联合分布的随机变量为连续型的情况下，公式中的二重求和用二重积分代替:&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic3.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is now the joint probability ''density'' function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability density functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt; is now the joint probability density function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt; are the marginal probability density functions of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; respectively.&lt;br /&gt;
&lt;br /&gt;
式中，&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的联合概率密度函数，而&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_Y&amp;lt;/math&amp;gt;分别是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边缘概率密度函数 Probability density function&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If the [[Logarithm|log base]] 2 is used, the units of mutual information are [[bit|bits]].&lt;br /&gt;
&lt;br /&gt;
If the log base 2 is used, the units of mutual information are bits.&lt;br /&gt;
&lt;br /&gt;
如果以2为底取对数，则互信息的单位为''位 bit''。&lt;br /&gt;
&lt;br /&gt;
== 动机 Motivation ==&lt;br /&gt;
&lt;br /&gt;
Intuitively, mutual information measures the information that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; share: It measures how much knowing one of these variables reduces uncertainty about the other. For example, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does not give any information about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa, so their mutual information is zero.  At the other extreme, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; then all information conveyed by &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is shared with &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; determines the value of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa. As a result, in this case the mutual information is the same as the uncertainty contained in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) alone, namely the [[information entropy|entropy]] of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). Moreover, this mutual information is the same as the entropy of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and as the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. (A very special case of this is when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are the same random variable.)&lt;br /&gt;
&lt;br /&gt;
Intuitively, mutual information measures the information that &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; share: It measures how much knowing one of these variables reduces uncertainty about the other. For example, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does not give any information about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa, so their mutual information is zero.  At the other extreme, if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a deterministic function of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; then all information conveyed by &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is shared with &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; determines the value of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and vice versa. As a result, in this case the mutual information is the same as the uncertainty contained in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;) alone, namely the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;). Moreover, this mutual information is the same as the entropy of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and as the entropy of &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. (A very special case of this is when &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are the same random variable.)&lt;br /&gt;
&lt;br /&gt;
直观地说，相互信息衡量了&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的信息共享程度：它衡量了当已知其中一个变量后可以减少另一个变量多少的不确定性。例如，若&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相互独立的，那么已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;不会得到关于&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的任何信息，反之亦然，因此它们之间的互信息为零。而另一种极端情况就是，若&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;确定函数&amp;lt;/font&amp;gt;'''，而&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;也是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;自身的确定函数，则&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;传递的所有信息都与&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;共享：即已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;就可以知道&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的值，反之亦然。因此，在这种情况下，互信息与仅包含在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;）中的不确定性相同，即&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;）的熵相同。此外，这种情况下互信息与&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的熵和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的熵相同。（一个非常特殊的情况是当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是相同的随机变量。）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Mutual information is a measure of the inherent dependence expressed in the [[joint distribution]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; relative to the joint distribution of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; under the assumption of independence. Mutual information therefore measures dependence in the following sense: &amp;lt;math&amp;gt;\operatorname{I}(X;Y)=0&amp;lt;/math&amp;gt; [[if and only if]] &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent random variables.  This is easy to see in one direction: if &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are independent, then &amp;lt;math&amp;gt;p_{(X,Y)}(x,y)=p_X(x) \cdot p_Y(y)&amp;lt;/math&amp;gt;, and therefore:&lt;br /&gt;
&lt;br /&gt;
Mutual information is a measure of the inherent dependence expressed in the joint distribution of 𝑋 and 𝑌 relative to the joint distribution of 𝑋 and 𝑌 under the assumption of independence. Mutual information therefore measures dependence in the following sense: I(𝑋;𝑌)=0 if and only if 𝑋 and 𝑌 are independent random variables. This is easy to see in one direction: if 𝑋 and 𝑌 are independent, then 𝑝(𝑋,𝑌)(𝑥,𝑦)=𝑝𝑋(𝑥)⋅𝑝𝑌(𝑦), and therefore:&lt;br /&gt;
&lt;br /&gt;
互信息是在独立假设下，&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的联合分布相对于其内在相关性的度量。因此互信息是在以下条件下定义相关性的：&amp;lt;math&amp;gt;\operatorname{I}(X;Y)=0&amp;lt;/math&amp;gt;当且仅当&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是独立随机变量时。这很容易从一个方向看出：如果&amp;lt;math&amp;gt;X&amp;lt;/math和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是独立的，那么&amp;lt;math&amp;gt;p_{(X,Y)}(x,y)=p_X(x) \cdot p_Y(y)&amp;lt;/math&amp;gt;，因此：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; \log{ \left( \frac{p_{(X,Y)}(x,y)}{p_X(x)\,p_Y(y)} \right) } = \log 1 = 0 .&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Moreover, mutual information is nonnegative (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt; see below) and [[Symmetric function|symmetric]] (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt; see below).&lt;br /&gt;
&lt;br /&gt;
Moreover, mutual information is nonnegative (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt; see below) and symmetric (i.e. &amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt; see below).&lt;br /&gt;
&lt;br /&gt;
此外，互信息是非负的（例如：（&amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt;，见下文）和对称的（即&amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt;，见下文）。&lt;br /&gt;
&lt;br /&gt;
== 与其他量的关系 Relation to other quantities ==&lt;br /&gt;
&lt;br /&gt;
=== 非负性 Nonnegativity ===&lt;br /&gt;
&lt;br /&gt;
Using [[Jensen's inequality]] on the definition of mutual information we can show that &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, i.e.&amp;lt;ref name=cover1991 /&amp;gt;{{rp|28}}&lt;br /&gt;
&lt;br /&gt;
Using Jensen's inequality on the definition of mutual information we can show that &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, i.e.&lt;br /&gt;
&lt;br /&gt;
利用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;琴生不等式 Jensen's inequality&amp;lt;/font&amp;gt;'''对互信息的定义进行推导，我们可以证明&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;是非负的，即:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\operatorname{I}(X;Y) \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 对称性 Symmetry===&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\operatorname{I}(X;Y) = \operatorname{I}(Y;X)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 条件熵与联合熵的关系 Relation to conditional and joint entropy ===&lt;br /&gt;
&lt;br /&gt;
Mutual information can be equivalently expressed as:&lt;br /&gt;
&lt;br /&gt;
Mutual information can be equivalently expressed as:&lt;br /&gt;
&lt;br /&gt;
互信息也可以等价地表示为:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic4.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt; are the marginal [[information entropy|entropies]], &amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt; are the [[conditional entropy|conditional entropies]], and &amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt; is the [[joint entropy]] of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
其中&amp;lt;math&amp;gt;H(X)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边际熵 Marginal entropy&amp;lt;/font&amp;gt;'''，&amp;lt;math&amp;gt;H(X|Y)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;表示'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;条件熵 Conditional entropy&amp;lt;/font&amp;gt;'''，&amp;lt;math&amp;gt;H(X,Y)&amp;lt;/math&amp;gt;是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合熵 Joint entropy&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Notice the analogy to the union, difference, and intersection of two sets: in this respect, all the formulas given above are apparent from the Venn diagram reported at the beginning of the article.&lt;br /&gt;
&lt;br /&gt;
注意两个集合的并集、差集和交集的类比：在这方面，上面给出的所有公式都可以从文章开头的维恩图中看出。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In terms of a communication channel in which the output &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a noisy version of the input &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;, these relations are summarised in the figure:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
就输出&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;是输入&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的噪声版本的通信信道而言，这些关系如图中总结所示：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[File:Figchannel2017ab.svg|thumb| The relationships between information theoretic quantities 信息论量之间的关系]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Because &amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt; is non-negative, consequently, &amp;lt;math&amp;gt;H(X) \ge H(X|Y)&amp;lt;/math&amp;gt;. Here we give the detailed deduction of &amp;lt;math&amp;gt;\operatorname{I}(X;Y)=H(Y)-H(Y|X)&amp;lt;/math&amp;gt; for the case of jointly discrete random variables:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
因为&amp;lt;math&amp;gt;\operatorname{I}(X;Y)&amp;lt;/math&amp;gt;是非负的，因此&amp;lt;math&amp;gt;H(X) \ge H(X|Y)&amp;lt;/math&amp;gt;。这里我们给出了联合离散随机变量情形下结论&amp;lt;math&amp;gt;\operatorname{I}(X;Y)=H(Y)-H(Y|X)&amp;lt;/math&amp;gt;的详细推导过程：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic5.png|居中|800px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The proofs of the other identities above are similar. The proof of the general case (not just discrete) is similar, with integrals replacing sums.&lt;br /&gt;
&lt;br /&gt;
同理，上述其他恒等式的证明方法都是是相似的。一般情况(不仅仅是离散情况)的证明是类似的，用积分代替求和。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Intuitively, if entropy &amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt; is regarded as a measure of uncertainty about a random variable, then &amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt; is a measure of what &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; does ''not'' say about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;. This is &amp;quot;the amount of uncertainty remaining about &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; after &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is known&amp;quot;, and thus the right side of the second of these equalities can be read as &amp;quot;the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, minus the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; which remains after &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; is known&amp;quot;, which is equivalent to &amp;quot;the amount of uncertainty in &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; which is removed by knowing &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;&amp;quot;. This corroborates the intuitive meaning of mutual information as the amount of information (that is, reduction in uncertainty) that knowing either variable provides about the other.&lt;br /&gt;
&lt;br /&gt;
Intuitively, if entropy 𝐻(𝑌) is regarded as a measure of uncertainty about a random variable, then 𝐻(𝑌|𝑋) is a measure of what 𝑋 does not say about 𝑌. This is &amp;quot;the amount of uncertainty remaining about 𝑌 after 𝑋 is known&amp;quot;, and thus the right side of the second of these equalities can be read as &amp;quot;the amount of uncertainty in 𝑌, minus the amount of uncertainty in 𝑌 which remains after 𝑋 is known&amp;quot;, which is equivalent to &amp;quot;the amount of uncertainty in 𝑌 which is removed by knowing 𝑋&amp;quot;. This corroborates the intuitive meaning of mutual information as the amount of information (that is, reduction in uncertainty) that knowing either variable provides about the other.&lt;br /&gt;
&lt;br /&gt;
理论上来说，如果熵&amp;lt;math&amp;gt;H(Y)&amp;lt;/math&amp;gt;被视为随机变量不确定性的度量，那么&amp;lt;math&amp;gt;H(Y|X)&amp;lt;/math&amp;gt;则是对&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;没有说明&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的程度的度量。也就是“已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;后，关于&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;剩余的不确定性”的度量，因此这些等式中第二个等式的右侧可以解读为“&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;中的不确定性量，减去已知&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;后仍然存在的不确定性的量”，相当于“已知后消除的&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;中的不确定性量”&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;&amp;quot;.这证实了相互信息的直观含义就是了解其中一个变量提供的关于另一个变量的信息量（即不确定性的减少程度）。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note that in the discrete case &amp;lt;math&amp;gt;H(X|X) = 0&amp;lt;/math&amp;gt; and therefore &amp;lt;math&amp;gt;H(X) = \operatorname{I}(X;X)&amp;lt;/math&amp;gt;. Thus &amp;lt;math&amp;gt;\operatorname{I}(X; X) \ge \operatorname{I}(X; Y)&amp;lt;/math&amp;gt;, and one can formulate the basic principle that a variable contains at least as much information about itself as any other variable can provide.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
注意，在离散情况下，&amp;lt;math&amp;gt;H(X|X) = 0&amp;lt;/math&amp;gt;，因此&amp;lt;math&amp;gt;H(X) = \operatorname{I}(X;X)&amp;lt;/math&amp;gt;。所以，&amp;lt;math&amp;gt;\operatorname{I}(X; X) \ge \operatorname{I}(X; Y)&amp;lt;/math&amp;gt;，据此我们可以得到一个基本结论，那就是一个变量至少包含与任何其他变量所能提供的关于自身的信息量的这么多信息。&lt;br /&gt;
&lt;br /&gt;
=== 与相对熵的关系 Relation to Kullback–Leibler divergence ===&lt;br /&gt;
&lt;br /&gt;
For jointly discrete or jointly continuous pairs &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;, &lt;br /&gt;
&lt;br /&gt;
For jointly discrete or jointly continuous pairs &amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;, &lt;br /&gt;
&lt;br /&gt;
对于联合的离散或连续分布变量对&amp;lt;math&amp;gt;(X,Y)&amp;lt;/math&amp;gt;，&lt;br /&gt;
&lt;br /&gt;
mutual information is the [[Kullback–Leibler divergence]] of the product of the [[marginal distribution]]s, &amp;lt;math&amp;gt;p_X \cdot p_Y&amp;lt;/math&amp;gt;, from the [[joint distribution]] &amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;, that is,&lt;br /&gt;
&lt;br /&gt;
mutual information is the Kullback–Leibler divergence of the product of the marginal distributions, 𝑝𝑋⋅𝑝𝑌, from the joint distribution 𝑝(𝑋,𝑌), that is,&lt;br /&gt;
&lt;br /&gt;
互信息是边缘分布乘积的相对熵 &amp;lt;math&amp;gt;D_{KL}&amp;lt;/math&amp;gt;，也就是联合分布&amp;lt;math&amp;gt;p_{(X,Y)}&amp;lt;/math&amp;gt;的乘积，即：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic6.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Furthermore, let &amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt; be the conditional mass or density function. Then, we have the identity&lt;br /&gt;
&lt;br /&gt;
Furthermore, let &amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt; be the conditional mass or density function. Then, we have the identity&lt;br /&gt;
&lt;br /&gt;
进一步地，设&amp;lt;math&amp;gt;p_{X|Y=y}(x) = p_{(X,Y)}(x,y) / p_Y(y)&amp;lt;/math&amp;gt;为条件质量或密度函数。那么，我们就可以给出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic7.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The proof for jointly discrete random variables is as follows:&lt;br /&gt;
&lt;br /&gt;
The proof for jointly discrete random variables is as follows:&lt;br /&gt;
&lt;br /&gt;
联合离散随机变量的证明如下:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[文件:MI pic8.png|居中|缩略图]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Similarly this identity can be established for jointly continuous random variables.&lt;br /&gt;
&lt;br /&gt;
Similarly this identity can be established for jointly continuous random variables.&lt;br /&gt;
&lt;br /&gt;
这个恒等式在联合、连续的随机变量情况下同样成立。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note that here the Kullback–Leibler divergence involves integration over the values of the random variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; only, and the expression &amp;lt;math&amp;gt;D_\text{KL}(p_{X|Y} \parallel p_X)&amp;lt;/math&amp;gt; still denotes a random variable because &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is random. Thus mutual information can also be understood as the [[expected value|expectation]] of the Kullback–Leibler divergence of the [[univariate distribution]] &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; from the [[conditional distribution]] &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; given &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: the more different the distributions &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; are on average, the greater the [[Kullback–Leibler divergence|information gain]].&lt;br /&gt;
&lt;br /&gt;
Note that here the Kullback–Leibler divergence involves integration over the values of the random variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; only, and the expression &amp;lt;math&amp;gt;D_\text{KL}(p_{X|Y} \parallel p_X)&amp;lt;/math&amp;gt; still denotes a random variable because &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is random. Thus mutual information can also be understood as the expectation of the Kullback–Leibler divergence of the univariate distribution &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; from the conditional distribution &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; of &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; given &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;: the more different the distributions &amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt; are on average, the greater the information gain.&lt;br /&gt;
&lt;br /&gt;
因此，互信息也可以理解为X的单变量分布&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;与给定&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;的&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;的条件分布&amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt;的相对熵的期望：平均分布&amp;lt;math&amp;gt;p_{X|Y}&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;p_X&amp;lt;/math&amp;gt;的分布差异越大，信息增益越大。&lt;br /&gt;
&lt;br /&gt;
=== 互信息的贝叶斯估计 Bayesian estimation of mutual information ===&lt;br /&gt;
&lt;br /&gt;
It is well-understood how to do Bayesian estimation of the mutual information of a joint distribution based on samples of that distribution. &lt;br /&gt;
&lt;br /&gt;
It is well-understood how to do Bayesian estimation of the mutual information of a joint distribution based on samples of that distribution. &lt;br /&gt;
&lt;br /&gt;
如何根据联合分布的样本对联合分布的互信息进行贝叶斯估计，是一个众所周知的问题&lt;br /&gt;
&lt;br /&gt;
The first work to do this, which also showed how to do Bayesian estimation of many other information-theoretic properties besides mutual information, was &amp;lt;ref&amp;gt;{{cite journal | last1 = Wolpert | first1 = D.H. | last2 = Wolf | first2 = D.R. | year = 1995 | title = Estimating functions of probability distributions from a finite set of samples | journal = Physical Review E | volume = 52 | issue = 6 | pages = 6841–6854 | doi = 10.1103/PhysRevE.52.6841 | pmid = 9964199 | citeseerx = 10.1.1.55.7122 | bibcode = 1995PhRvE..52.6841W }}&amp;lt;/ref&amp;gt;. Subsequent researchers have rederived &amp;lt;ref&amp;gt;{{cite journal | last1 = Hutter | first1 = M. | year = 2001 | title = Distribution of Mutual Information | journal = Advances in Neural Information Processing Systems 2001 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
and extended &amp;lt;ref&amp;gt;{{cite journal | last1 = Archer | first1 = E. | last2 = Park | first2 = I.M. | last3 = Pillow | first3 = J. | year = 2013 | title = Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data | journal = Entropy| volume = 15 | issue = 12 | pages = 1738–1755 | doi = 10.3390/e15051738 | citeseerx = 10.1.1.294.4690 | bibcode = 2013Entrp..15.1738A }}&amp;lt;/ref&amp;gt;this analysis. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
关于这方面的第一项工作是文献[2]。后来的研究人员重新推导了文献[3]中的内容，并扩展了关于[4]的分析。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
See &amp;lt;ref&amp;gt;{{cite journal | last1 = Wolpert | first1 = D.H | last2 = DeDeo | first2 = S. | year = 2013 | title = Estimating Functions of Distributions Defined over Spaces of Unknown Size | journal = Entropy | volume = 15 | issue = 12 | pages = 4668–4699 | doi = 10.3390/e15114668 | arxiv = 1311.4548 | bibcode = 2013Entrp..15.4668W }}&amp;lt;/ref&amp;gt;for a recent paper based on a prior specifically tailored to estimation of mutual information per se. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
最近的一篇论文[5]，该论文基于一个专门针对相互信息本身估计的先验知识。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Besides, recently an estimation method accounting for continuous and multivariate outputs,  &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;, was proposed in &amp;lt;ref&amp;gt;{{citation| journal = [[PLOS Computational Biology]]|volume = 15|issue = 7|pages = e1007132|doi = 10.1371/journal.pcbi.1007132|pmid = 31299056|pmc = 6655862|title=Information-theoretic analysis of multivariate single-cell signaling responses|author1= Tomasz Jetka|author2= Karol Nienaltowski|author3= Tomasz Winarski| author4=Slawomir Blonski| author5= Michal Komorowski|year=2019|bibcode = 2019PLSCB..15E7132J|arxiv = 1808.05581}}&amp;lt;/ref&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
此外，最近文献[6]提出了一种考虑连续多种输出变量𝑌的估计方法。&lt;br /&gt;
&lt;br /&gt;
=== 独立性假设 Independence assumptions ===&lt;br /&gt;
&lt;br /&gt;
The Kullback-Leibler divergence formulation of the mutual information is predicated on that one is interested in comparing &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; to the fully factorized [[outer product]] &amp;lt;math&amp;gt;p(x) \cdot p(y)&amp;lt;/math&amp;gt;. In many problems, such as [[non-negative matrix factorization]], one is interested in less extreme factorizations; specifically, one wishes to compare &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; to a low-rank matrix approximation in some unknown variable &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;; that is, to what degree one might have&lt;br /&gt;
&lt;br /&gt;
The Kullback-Leibler divergence formulation of the mutual information is predicated on that one is interested in comparing 𝑝(𝑥,𝑦) to the fully factorized outer product 𝑝(𝑥)⋅𝑝(𝑦). In many problems, such as non-negative matrix factorization, one is interested in '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;less extreme factorizations&amp;lt;/font&amp;gt;'''; specifically, one wishes to compare 𝑝(𝑥,𝑦) to a low-rank matrix approximation in some unknown variable 𝑤; that is, to what degree one might have&lt;br /&gt;
&lt;br /&gt;
相互信息的Kullback-Leibler散度公式是基于这样一个结论的：人们会更关注将&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;与完全分解的外积&amp;lt;math&amp;gt;p(x) \cdot p(y)&amp;lt;/math&amp;gt;进行比较。在许多问题中，例如非负矩阵因式分解中，人们对'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;较不极端的&amp;lt;/font&amp;gt;'''因式分解感兴趣；具体地说，人们希望将&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;与某个未知变量&amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;中的低秩矩阵近似进行比较；也就是说，在多大程度上可能会有这样的结果：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;p(x,y)\approx \sum_w p^\prime (x,w) p^{\prime\prime}(w,y)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Alternately, one might be interested in knowing how much more information &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; carries over its factorization. In such a case, the excess information that the full distribution &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt; carries over the matrix factorization is given by the Kullback-Leibler divergence&lt;br /&gt;
&lt;br /&gt;
Alternately, one might be interested in knowing how much more information 𝑝(𝑥,𝑦) carries over its factorization. In such a case, the excess information that the full distribution 𝑝(𝑥,𝑦) carries over the matrix factorization is given by the Kullback-Leibler divergence&lt;br /&gt;
&lt;br /&gt;
另一方面，人们可能有兴趣知道在因子分解过程中，有&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;携带了多少信息。在这种情况下，全分布&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;通过矩阵因子分解所携带的多余信息由Kullback-Leibler散度给出&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I}_{LRMA} = \sum_{y \in \mathcal{Y}} \sum_{x \in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p(x,y) \log{ \left(\frac{p(x,y)}{\sum_w p^\prime (x,w) p^{\prime\prime}(w,y)}&lt;br /&gt;
&lt;br /&gt;
      \right) }},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The conventional definition of the mutual information is recovered in the extreme case that the process &amp;lt;math&amp;gt;W&amp;lt;/math&amp;gt; has only one value for &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
The conventional definition of the mutual information is recovered in the extreme case that the process &amp;lt;math&amp;gt;W&amp;lt;/math&amp;gt; has only one value for &amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
在过程&amp;lt;math&amp;gt;w&amp;lt;/math&amp;gt;只有一个值的极端情况下，可以使用传统的互信息定义。&lt;br /&gt;
&lt;br /&gt;
== 变形 Variations ==&lt;br /&gt;
&lt;br /&gt;
Several variations on mutual information have been proposed to suit various needs.  Among these are normalized variants and generalizations to more than two variables.&lt;br /&gt;
&lt;br /&gt;
Several variations on mutual information have been proposed to suit various needs.  Among these are normalized variants and generalizations to more than two variables.&lt;br /&gt;
&lt;br /&gt;
为了适应不同的需要，已经提出了几种互信息的变形。其中包括对两个以上变量的规范化变量和泛化。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 度量 Metric ===&lt;br /&gt;
&lt;br /&gt;
Many applications require a [[metric (mathematics)|metric]], that is, a distance measure between pairs of points. The quantity&lt;br /&gt;
&lt;br /&gt;
Many applications require a metric, that is, a distance measure between pairs of points. The quantity&lt;br /&gt;
&lt;br /&gt;
许多应用需要一个度量，即点对之间的距离度量。这个量：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\begin{align}&lt;br /&gt;
&lt;br /&gt;
d(X,Y) &amp;amp;= H(X,Y) - \operatorname{I}(X;Y) \\&lt;br /&gt;
&lt;br /&gt;
       &amp;amp;= H(X) + H(Y) - 2\operatorname{I}(X;Y) \\&lt;br /&gt;
&lt;br /&gt;
       &amp;amp;= H(X|Y) + H(Y|X)&lt;br /&gt;
&lt;br /&gt;
\end{align}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
satisfies the properties of a metric ([[triangle inequality]], [[non-negative|non-negativity]], [[identity of indiscernibles|indiscernability]] and symmetry). This distance metric is also known as the [[variation of information]].&lt;br /&gt;
&lt;br /&gt;
satisfies the properties of a metric (triangle inequality, non-negativity, indiscernability and symmetry). This distance metric is also known as the variation of information.&lt;br /&gt;
&lt;br /&gt;
满足度量的性质（三角形不等式、非负性、不可除性和对称性）。这种距离度量也称为信息的变化。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If &amp;lt;math&amp;gt;X, Y&amp;lt;/math&amp;gt; are discrete random variables then all the entropy terms are non-negative, so &amp;lt;math&amp;gt;0 \le d(X,Y) \le H(X,Y)&amp;lt;/math&amp;gt; and one can define a normalized distance&lt;br /&gt;
&lt;br /&gt;
If 𝑋,𝑌 are discrete random variables then all the entropy terms are non-negative, so 0≤𝑑(𝑋,𝑌)≤𝐻(𝑋,𝑌) and one can define a normalized distance&lt;br /&gt;
&lt;br /&gt;
如果&amp;lt;math&amp;gt;X, Y&amp;lt;/math&amp;gt;是离散随机变量，那么所有熵项都是非负的，因此&amp;lt;math&amp;gt;0 \le d(X,Y) \le H(X,Y)&amp;lt;/math&amp;gt;，可以定义一个标准化距离：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D(X,Y) = \frac{d(X, Y)}{H(X, Y)} \le 1.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The metric &amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt; is a universal metric, in that if any other distance measure places &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; close-by, then the &amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt; will also judge them close.&amp;lt;ref&amp;gt;{{cite journal|arxiv=q-bio/0311039|last1=Kraskov|first1=Alexander|title=Hierarchical Clustering Based on Mutual Information|last2=Stögbauer|first2=Harald|last3= Andrzejak|first3=Ralph G.|last4=Grassberger|first4=Peter|year=2003|bibcode=2003q.bio....11039K}}&amp;lt;/ref&amp;gt;{{dubious|see talk page|date=November 2014}}&lt;br /&gt;
&lt;br /&gt;
The metric 𝐷 is a universal metric, in that if any other distance measure places 𝑋 and 𝑌 close-by, then the 𝐷 will also judge them close.&lt;br /&gt;
&lt;br /&gt;
度量&amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt;是一种通用度量，即如果任何其他距离度量将&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;认为是近的，则&amp;lt;math&amp;gt;D&amp;lt;/math&amp;gt;也将判断它们接近。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Plugging in the definitions shows that&lt;br /&gt;
&lt;br /&gt;
Plugging in the definitions shows that&lt;br /&gt;
&lt;br /&gt;
从如下定义可以看出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D(X,Y) = 1 - \frac{\operatorname{I}(X; Y)}{H(X, Y)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In a set-theoretic interpretation of information (see the figure for [[Conditional entropy]]), this is effectively the [[Jaccard index|Jaccard distance]] between &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
In a set-theoretic interpretation of information (see the figure for Conditional entropy), this is effectively the Jaccard distance between 𝑋 and 𝑌.&lt;br /&gt;
&lt;br /&gt;
在信息的集合论解释中（参见条件熵的图），这实际上就是&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;之间的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;杰卡德距离 Jaccard distance&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Finally,&lt;br /&gt;
&lt;br /&gt;
Finally,&lt;br /&gt;
&lt;br /&gt;
最后,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;D^\prime(X, Y) = 1 - \frac{\operatorname{I}(X; Y)}{\max\left\{H(X), H(Y)\right\}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
is also a metric.&lt;br /&gt;
&lt;br /&gt;
is also a metric.&lt;br /&gt;
&lt;br /&gt;
也是一种度量标准。&lt;br /&gt;
&lt;br /&gt;
=== 条件互信息 Conditional mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|Conditional mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Sometimes it is useful to express the mutual information of two random variables conditioned on a third.&lt;br /&gt;
&lt;br /&gt;
Sometimes it is useful to express the mutual information of two random variables conditioned on a third.&lt;br /&gt;
&lt;br /&gt;
有时度量两个随机变量在以第三个随机变量为条件的情况下的相互信息也是有意义的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{Equation box 1&lt;br /&gt;
&lt;br /&gt;
|indent =&lt;br /&gt;
&lt;br /&gt;
|title=&lt;br /&gt;
&lt;br /&gt;
|equation = &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \mathbb{E}_Z [D_{\mathrm{KL}}( P_{(X,Y)|Z} \| P_{X|Z} \otimes P_{Y|Z} )]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
|cellpadding= 1&lt;br /&gt;
&lt;br /&gt;
|border&lt;br /&gt;
&lt;br /&gt;
|border colour = #0073CF&lt;br /&gt;
&lt;br /&gt;
|background colour=#F5FFFA}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For jointly [[discrete random variable|discrete random variables]] this takes the form&lt;br /&gt;
&lt;br /&gt;
For jointly discrete random variables this takes the form&lt;br /&gt;
&lt;br /&gt;
对于联合离散随机变量，这采用以下形式：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z)  =  \sum_{z\in \mathcal{Z}} \sum_{y\in \mathcal{Y}} \sum_{x\in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p_Z(z)\, p_{X,Y|Z}(x,y|z) &lt;br /&gt;
&lt;br /&gt;
        \log\left[\frac{p_{X,Y|Z}(x,y|z)}{p_{X|Z}\,(x|z)p_{Y|Z}(y|z)}\right]},&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
可以简化为&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \sum_{z\in \mathcal{Z}} \sum_{y\in \mathcal{Y}} \sum_{x\in \mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
      p_{X,Y,Z}(x,y,z) \log \frac{p_{X,Y,Z}(x,y,z)p_{Z}(z)}{p_{X,Z}(x,z)p_{Y,Z}(y,z)}.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For jointly [[continuous random variable|continuous random variables]] this takes the form&lt;br /&gt;
&lt;br /&gt;
For jointly continuous random variables this takes the form&lt;br /&gt;
&lt;br /&gt;
对于联合连续的随机变量，其形式为：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z)  =  \int_{\mathcal{Z}} \int_{\mathcal{Y}} \int_{\mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
    {p_Z(z)\, p_{X,Y|Z}(x,y|z) &lt;br /&gt;
&lt;br /&gt;
        \log\left[\frac{p_{X,Y|Z}(x,y|z)}{p_{X|Z}\,(x|z)p_{Y|Z}(y|z)}\right]} dx dy dz,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
which can be simplified as&lt;br /&gt;
&lt;br /&gt;
可以简化为&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X;Y|Z) = \int_{\mathcal{Z}} \int_{\mathcal{Y}} \int_{\mathcal{X}}&lt;br /&gt;
&lt;br /&gt;
      p_{X,Y,Z}(x,y,z) \log \frac{p_{X,Y,Z}(x,y,z)p_{Z}(z)}{p_{X,Z}(x,z)p_{Y,Z}(y,z)} dx dy dz.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Conditioning on a third random variable may either increase or decrease the mutual information, but it is always true that&lt;br /&gt;
&lt;br /&gt;
Conditioning on a third random variable may either increase or decrease the mutual information, but it is always true that&lt;br /&gt;
&lt;br /&gt;
第三个随机变量的条件作用可能增加或减少互信息，但下式始终是成立的：&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I}(X;Y|Z) \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
for discrete, jointly distributed random variables &amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;. This result has been used as a basic building block for proving other [[inequalities in information theory]].&lt;br /&gt;
&lt;br /&gt;
for discrete, jointly distributed random variables &amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;. This result has been used as a basic building block for proving other inequalities in information theory.&lt;br /&gt;
&lt;br /&gt;
对于离散的、联合分布的随机变量&amp;lt;math&amp;gt;X,Y,Z&amp;lt;/math&amp;gt;。这一结果被用作证明信息论中其他不等式的基本组成部分。&lt;br /&gt;
&lt;br /&gt;
=== 多元互信息 Multivariate mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|Multivariate mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several generalizations of mutual information to more than two random variables have been proposed, such as [[total correlation]] (or multi-information) and [[interaction information]]. The expression and study of multivariate higher-degree mutual-information was achieved in two seemingly independent works: McGill (1954) &amp;lt;ref&amp;gt;{{cite journal | last1 = McGill| first1 = W. | year = 1954 | title = Multivariate information transmission | journal = Psychometrika | volume = 19 | issue = 1 | pages = 97–116 | doi = 10.1007/BF02289159 }}&amp;lt;/ref&amp;gt; who called these functions “interaction information”, and Hu Kuo Ting (1962) &amp;lt;ref&amp;gt;{{cite journal | last1 = Hu| first1 = K.T. | year = 1962 | title = On the Amount of Information | journal = Theory Probab. Appl. | volume = 7 | issue = 4 |  pages = 439–447 | doi = 10.1137/1107041 }}&amp;lt;/ref&amp;gt; who also first proved the possible negativity of mutual-information for degrees higher than 2 and justified algebraically the intuitive correspondence to Venn diagrams  &amp;lt;ref name=e21090869&amp;gt;{{cite journal | last1 = Baudot | first1 = P. | last2 = Tapia | first2 = M. | last3 = Bennequin | first3 = D. | last4 = Goaillard | first4 = J.M. | year = 2019 | title = Topological Information Data Analysis | doi = 10.3390/e21090869 | journal = Entropy | volume = 21 | issue = 9| at = 869 | bibcode = 2019Entrp..21..869B | arxiv = 1907.04242 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Several generalizations of mutual information to more than two random variables have been proposed, such as total correlation (or multi-information) and interaction information. The expression and study of multivariate higher-degree mutual-information was achieved in two seemingly independent works: McGill (1954)  who called these functions “interaction information”, and Hu Kuo Ting (1962)  who also first proved the possible negativity of mutual-information for degrees higher than 2 and justified algebraically the intuitive correspondence to Venn diagrams  &lt;br /&gt;
&lt;br /&gt;
目前提出了许多将互信息推广到两个以上随机变量的方法，如'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;全相关 Total correlation&amp;lt;/font&amp;gt;'''（或'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;多信息 Multi-information&amp;lt;/font&amp;gt;'''）以及'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;交互信息 Interaction information&amp;lt;/font&amp;gt;'''。多元高阶互信息的表达和研究是在两部看似独立的著作中实现的：McGill（1954年）在文献[8]中将这些函数统称为“互信息”，胡国亭（1962年）也在文献[9]中首次证明了大于2度的互信息可能是负的，并在文献[10]中用代数的方法证明了互信息和维恩图的直观对应关系。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X_1;X_1) = H(X_1)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
and for &amp;lt;math&amp;gt;n &amp;gt; 1,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and for 𝑛&amp;gt;1,&lt;br /&gt;
&lt;br /&gt;
而对于𝑛&amp;gt;1，有：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}(X_1;\,...\,;X_n)&lt;br /&gt;
&lt;br /&gt;
 = \operatorname{I}(X_1;\,...\,;X_{n-1}) &lt;br /&gt;
&lt;br /&gt;
    - \operatorname{I}(X_1;\,...\,;X_{n-1}|X_n),&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where (as above) we define&lt;br /&gt;
&lt;br /&gt;
where (as above) we define&lt;br /&gt;
&lt;br /&gt;
综上所述，我们定义：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
I(X_1;\ldots;X_{n-1}|X_{n}) = \mathbb{E}_{X_{n}} [D_{\mathrm{KL}}( P_{(X_1,\ldots,X_{n-1})|X_{n}} \| P_{X_1|X_{n}} \otimes\cdots\otimes P_{X_{n-1}|X_{n}} )].&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(This definition of multivariate mutual information is identical to that of [[interaction information]] except for a change in sign when the number of random variables is odd.)&lt;br /&gt;
&lt;br /&gt;
(This definition of multivariate mutual information is identical to that of interaction information except for a change in sign when the number of random variables is odd.)&lt;br /&gt;
&lt;br /&gt;
（这个多元互信息的定义与互信息的定义相同，对于随机变量的数目为奇数时符号的变化除外。）&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==== 多元统计独立性 Multivariate statistical independence ====&lt;br /&gt;
&lt;br /&gt;
The multivariate mutual-information functions generalize the pairwise independence case that states that &amp;lt;math&amp;gt;X_1,X_2&amp;lt;/math&amp;gt; if and only if &amp;lt;math&amp;gt;I(X_1;X_2)=0&amp;lt;/math&amp;gt;, to arbitrary numerous variable. n variables are mutually independent if and only if the  &amp;lt;math&amp;gt;2^n-n-1&amp;lt;/math&amp;gt; mutual information functions vanish &amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt;n \ge k \ge 2&amp;lt;/math&amp;gt; (theorem 2  &amp;lt;ref name=e21090869/&amp;gt;). In this sense, the &amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt; can be used as a refined statistical independence criterion.&lt;br /&gt;
&lt;br /&gt;
The multivariate mutual-information functions generalize the pairwise independence case that states that 𝑋1,𝑋2 if and only if 𝐼(𝑋1;𝑋2)=0, to arbitrary numerous variable. n variables are mutually independent if and only if the 2𝑛−𝑛−1 mutual information functions vanish 𝐼(𝑋1;...;𝑋𝑘)=0 with 𝑛≥𝑘≥2 (theorem 2). In this sense, the 𝐼(𝑋1;...;𝑋𝑘)=0 can be used as a refined statistical independence criterion.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
多元互信息函数将&amp;lt;math&amp;gt;I(X_1;X_2)=0&amp;lt;/math&amp;gt;当且仅当&amp;lt;math&amp;gt;X_1,X_2&amp;lt;/math&amp;gt;两两独立的情况推广到任意多变量。即当且仅当&amp;lt;math&amp;gt;2^n-n-1&amp;lt;/math&amp;gt;的互信息函数为&amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt;且math&amp;gt;n \ge k \ge 2&amp;lt;/math&amp;gt;时，n个变量相互独立（定理2）。从这个意义上讲，&amp;lt;math&amp;gt;I(X_1;...;X_k)=0&amp;lt;/math&amp;gt;可以用作一个精确的统计独立性标准。&lt;br /&gt;
&lt;br /&gt;
==== 应用 Applications ====&lt;br /&gt;
&lt;br /&gt;
For 3 variables, Brenner et al. applied multivariate mutual information to neural coding and called its negativity &amp;quot;synergy&amp;quot; &amp;lt;ref&amp;gt;{{cite journal | last1 = Brenner | first1 = N. | last2 = Strong | first2 = S. | last3 = Koberle | first3 = R. | last4 = Bialek | first4 = W. | year = 2000 | title = Synergy in a Neural Code | doi = 10.1162/089976600300015259 | pmid = 10935917 | journal = Neural Comput | volume = 12 | issue = 7 | pages = 1531–1552 }}&amp;lt;/ref&amp;gt; and Watkinson et al. applied it to genetic expression &amp;lt;ref&amp;gt;{{cite journal | last1 = Watkinson | first1 = J. | last2 = Liang | first2 = K. | last3 = Wang | first3 = X. | last4 = Zheng | first4 = T.| last5 = Anastassiou | first5 = D. | year = 2009 | title = Inference of Regulatory Gene Interactions from Expression Data Using Three-Way Mutual Information | doi = 10.1111/j.1749-6632.2008.03757.x | pmid = 19348651 | journal = Chall. Syst. Biol. Ann. N. Y. Acad. Sci. | volume = 1158 | issue = 1 | pages = 302–313 | bibcode = 2009NYASA1158..302W | url = https://semanticscholar.org/paper/cb09223a34b08e6dcbf696385d9ab76fd9f37aa4 }}&amp;lt;/ref&amp;gt;. For arbitrary k variables, Tapia et al. applied multivariate mutual information to gene expression  &amp;lt;ref name=s41598&amp;gt;{{cite journal|last1=Tapia|first1=M.|last2=Baudot|first2=P.|last3=Formizano-Treziny|first3=C.|last4=Dufour|first4=M.|last5=Goaillard|first5=J.M.|year=2018|title=Neurotransmitter identity and electrophysiological phenotype are genetically coupled in midbrain dopaminergic neurons|doi= 10.1038/s41598-018-31765-z|pmid=30206240|pmc=6134142|journal=Sci. Rep.|volume=8|issue=1|pages=13637|bibcode=2018NatSR...813637T}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=e21090869/&amp;gt;). It can be zero, positive, or negative &amp;lt;ref&amp;gt;{{cite journal | last1 = Hu| first1 = K.T. | year = 1962 | title = On the Amount of Information | journal = Theory Probab. Appl. | volume = 7 | issue = 4 |  pages = 439–447 | doi = 10.1137/1107041 }}&amp;lt;/ref&amp;gt;. The positivity corresponds to relations generalizing the pairwise correlations, nullity corresponds to a refined notion of independence, and negativity detects high dimensional &amp;quot;emergent&amp;quot; relations and clusterized datapoints &amp;lt;ref name=s41598/&amp;gt;). &lt;br /&gt;
&lt;br /&gt;
For 3 variables, Brenner et al. applied multivariate mutual information to neural coding and called its negativity &amp;quot;synergy&amp;quot;  and Watkinson et al. applied it to genetic expression . For arbitrary k variables, Tapia et al. applied multivariate mutual information to gene expression   . '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;The positivity corresponds to relations generalizing the pairwise correlations, nullity corresponds to a refined notion of independence, and negativity detects high dimensional &amp;quot;emergent&amp;quot; relations and clusterized datapoints &amp;lt;/font&amp;gt;'''. &lt;br /&gt;
&lt;br /&gt;
对于3个变量，Brenner等人将多变量互信息应用到神经编码中，并将其称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;负面“协同作用” Negativity &amp;quot;synergy&amp;quot;&amp;lt;/font&amp;gt;'''，接着Watkinson 等人将其应用到基因表达上。对于任意k个变量，Tapia 等人将多元互信息应用于基因表达——'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;正性对应于一般化成对相关性的关系，无效性对应于一个精确的独立性概念，负性检测高维“涌现”关系和聚合数据点&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
One high-dimensional generalization scheme which maximizes the mutual information between the joint distribution and other target variables is found to be useful in [[feature selection]].&amp;lt;ref&amp;gt;{{cite book|author1=Christopher D. Manning |author2=Prabhakar Raghavan |author3=Hinrich Schütze | title = An Introduction to Information Retrieval| publisher = [[Cambridge University Press]]| year = 2008| isbn = 978-0-521-86571-5 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
One high-dimensional generalization scheme which maximizes the mutual information between the joint distribution and other target variables is found to be useful in feature selection.&lt;br /&gt;
&lt;br /&gt;
目前已经提出了一种能够最大化联合分布与其他目标变量之间的互信息的高维推广方案，该方法可用于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 特征选择 Feature selection&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
Mutual information is also used in the area of signal processing as a [[Similarity measure|measure of similarity]] between two signals. For example, FMI metric&amp;lt;ref&amp;gt;{{cite journal | last1 = Haghighat | first1 = M. B. A. | last2 = Aghagolzadeh | first2 = A. | last3 = Seyedarabi | first3 = H. | year = 2011 | title = A non-reference image fusion metric based on mutual information of image features | doi = 10.1016/j.compeleceng.2011.07.012 | journal = Computers &amp;amp; Electrical Engineering | volume = 37 | issue = 5| pages = 744–756 }}&amp;lt;/ref&amp;gt; is an image fusion performance measure that makes use of mutual information in order to measure the amount of information that the fused image contains about the source images. The [[Matlab]] code for this metric can be found at.&amp;lt;ref&amp;gt;{{cite web|url=http://www.mathworks.com/matlabcentral/fileexchange/45926-feature-mutual-information-fmi-image-fusion-metric|title=Feature Mutual Information (FMI) metric for non-reference image fusion - File Exchange - MATLAB Central|author=|date=|website=www.mathworks.com|accessdate=4 April 2018}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Mutual information is also used in the area of signal processing as a measure of similarity between two signals. For example, FMI metric is an image fusion performance measure that makes use of mutual information in order to measure the amount of information that the fused image contains about the source images. The Matlab code for this metric can be found at.&lt;br /&gt;
&lt;br /&gt;
互信息也用于信号处理领域，用来进行两个信号之间的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;相似性度量 Similarity measure&amp;lt;/font&amp;gt;'''。例如，FMI 度量是一种利用互信息来度量融合图像包含的关于源图像的信息量的图像融合性能度量。这个度量的 Matlab 代码可以在参考文献[17]中找到。&lt;br /&gt;
&lt;br /&gt;
=== 定向信息 Directed information ===&lt;br /&gt;
&lt;br /&gt;
[[Directed information]], &amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&amp;lt;/math&amp;gt;,  measures the amount of information that flows from the process  &amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt; to &amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt; denotes the vector &amp;lt;math&amp;gt;X_1, X_2, ..., X_n&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt; denotes &amp;lt;math&amp;gt;Y_1, Y_2, ..., Y_n&amp;lt;/math&amp;gt;. The term ''directed information'' was coined by [[James Massey]] and is defined as&lt;br /&gt;
&lt;br /&gt;
Directed information, I(𝑋𝑛→𝑌𝑛), measures the amount of information that flows from the process 𝑋𝑛 to 𝑌𝑛, where 𝑋𝑛 denotes the vector 𝑋1,𝑋2,...,𝑋𝑛 and 𝑌𝑛 denotes 𝑌1,𝑌2,...,𝑌𝑛. The term directed information was coined by James Massey and is defined as：&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;定向信息 Directed information&amp;lt;/font&amp;gt;'''&amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&amp;lt;/math&amp;gt;度量从&amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt;流向&amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;的过程中的信息量，其中&amp;lt;math&amp;gt;X^n&amp;lt;/math&amp;gt;表示为向量&amp;lt;math&amp;gt;X_1, X_2, ..., X_n&amp;lt;/math&amp;gt;，&amp;lt;math&amp;gt;Y^n&amp;lt;/math&amp;gt;表示为&amp;lt;math&amp;gt;Y_1, Y_2, ..., Y_n&amp;lt;/math&amp;gt;。定向信息这个术语是由 James Massey 创造的，它被定义为：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I}\left(X^n \to Y^n\right)&lt;br /&gt;
&lt;br /&gt;
= \sum_{i=1}^n \operatorname{I}\left(X^i; Y_i|Y^{i-1}\right)&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Note that if &amp;lt;math&amp;gt;n=1&amp;lt;/math&amp;gt;, the directed information becomes the mutual information. Directed information has many applications in problems where [[causality]] plays an important role, such as [[Channel capacity|capacity of channel]] with feedback.&amp;lt;ref&amp;gt;{{cite conference|last1=Massey|first1=James|title=Causality, Feedback And Directed Informatio|date=1990|book-title=Proc. 1990 Intl. Symp. on Info. Th. and its Applications, Waikiki, Hawaii, Nov. 27-30, 1990|citeseerx=10.1.1.36.5688}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal|last1=Permuter|first1=Haim Henry|last2=Weissman|first2=Tsachy|last3=Goldsmith|first3=Andrea J.|title=Finite State Channels With Time-Invariant Deterministic Feedback|journal=IEEE Transactions on Information Theory|date=February 2009|volume=55|issue=2|pages=644–662|doi=10.1109/TIT.2008.2009849|arxiv=cs/0608070}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that if 𝑛=1, the directed information becomes the mutual information. Directed information has many applications in problems where causality plays an important role, such as capacity of channel with feedback.&lt;br /&gt;
&lt;br /&gt;
注意，当&amp;lt;math&amp;gt;n=1&amp;lt;/math&amp;gt;时，则定向信息成为互信息。定向信息在因果关系问题中有着广泛的应用，如反馈'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;信道容量问题 Channel capacity&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
=== 标准化变形 Normalized variants ===&lt;br /&gt;
&lt;br /&gt;
Normalized variants of the mutual information are provided by the ''coefficients of constraint'',{{sfn|Coombs|Dawes|Tversky|1970}} [[uncertainty coefficient]]&amp;lt;ref name=pressflannery&amp;gt;{{Cite book|last1=Press|first1=WH|last2=Teukolsky |first2=SA|last3=Vetterling|first3=WT|last4=Flannery|first4=BP|year=2007|title=Numerical Recipes: The Art of Scientific Computing|edition=3rd|publisher=Cambridge University Press|location=New York|isbn=978-0-521-88068-8|chapter=Section 14.7.3. Conditional Entropy and Mutual Information|chapter-url=http://apps.nrbook.com/empanel/index.html#pg=758}}&amp;lt;/ref&amp;gt; or proficiency:&amp;lt;ref name=JimWhite&amp;gt;{{Cite conference| last1= White |first1= Jim | last2= Steingold | first2=Sam | last3= Fournelle | first3=Connie | title = Performance Metrics for Group-Detection Algorithms | conference = Interface 2004 | url = http://www.interfacesymposia.org/I04/I2004Proceedings/WhiteJim/WhiteJim.paper.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Normalized variants of the mutual information are provided by the coefficients of constraint, uncertainty coefficient or proficiency:&lt;br /&gt;
&lt;br /&gt;
互信息的规范化变量由约束系数、不确定系数或熟练程度组成: &lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
C_{XY} = \frac{\operatorname{I}(X;Y)}{H(Y)}&lt;br /&gt;
&lt;br /&gt;
~~~~\mbox{和}~~~~ &lt;br /&gt;
&lt;br /&gt;
C_{YX} = \frac{\operatorname{I}(X;Y)}{H(X)}.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The two coefficients have a value ranging in [0, 1], but are not necessarily equal. In some cases a symmetric measure may be desired, such as the following ''[[Redundancy (information theory)|redundancy]]''{{Citation needed|date=July 2008}} measure:&lt;br /&gt;
&lt;br /&gt;
The two coefficients have a value ranging in [0, 1], but are not necessarily equal. In some cases a symmetric measure may be desired, such as the following redundancy measure:&lt;br /&gt;
&lt;br /&gt;
这两个系数的值范围均为[0,1]，但不一定是相等的。在某些情况下，可能需要一个对称的度量，例如下面的冗余度量:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;R = \frac{\operatorname{I}(X;Y)}{H(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which attains a minimum of zero when the variables are independent and a maximum value of&lt;br /&gt;
&lt;br /&gt;
which attains a minimum of zero when the variables are independent and a maximum value of&lt;br /&gt;
&lt;br /&gt;
当变量是独立的时候，它的最小值为零，最大值可以达到：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;R_\max = \frac{\min\left\{H(X), H(Y)\right\}}{H(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
when one variable becomes completely redundant with the knowledge of the other.  See also ''[[Redundancy (information theory)]]''. &lt;br /&gt;
&lt;br /&gt;
when one variable becomes completely redundant with the knowledge of the other.  See also Redundancy (information theory). &lt;br /&gt;
&lt;br /&gt;
当一个变量与另一个变量的知识完全多余时。参见冗余(信息论)。&lt;br /&gt;
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Another symmetrical measure is the ''symmetric uncertainty'' {{harv|Witten|Frank|2005}}, given by&lt;br /&gt;
&lt;br /&gt;
Another symmetrical measure is the symmetric uncertainty , given by&lt;br /&gt;
&lt;br /&gt;
另一个对称度量是对称不确定度，由下式表示：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;U(X, Y) = 2R = 2\frac{\operatorname{I}(X;Y)}{Ha(X) + H(Y)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which represents the [[harmonic mean]] of the two uncertainty coefficients &amp;lt;math&amp;gt;C_{XY}, C_{YX}&amp;lt;/math&amp;gt;.&amp;lt;ref name=pressflannery /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which represents the harmonic mean of the two uncertainty coefficients &amp;lt;math&amp;gt;C_{XY}, C_{YX}&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
它表示两个不确定系数的调和平均数。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If we consider mutual information as a special case of the [[total correlation]] or [[dual total correlation]], the normalized version are respectively,&lt;br /&gt;
&lt;br /&gt;
If we consider mutual information as a special case of the total correlation or dual total correlation, the normalized version are respectively,&lt;br /&gt;
&lt;br /&gt;
如果我们把互信息看作是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;总相关 Total correlation&amp;lt;/font&amp;gt;'''或'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;对偶总相关 Dual total correlation&amp;lt;/font&amp;gt;'''的特殊情况，则其标准化版本分别为,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\frac{\operatorname{I}(X;Y)}{\min\left[ H(X),H(Y)\right]}&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;\frac{\operatorname{I}(X;Y)}{H(X,Y)} \; .&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This normalized version also known as '''Information Quality Ratio (IQR)''' which quantifies the amount of information of a variable based on another variable against total uncertainty:&amp;lt;ref name=DRWijaya&amp;gt;{{Cite journal| last1= Wijaya |first1= Dedy Rahman | last2= Sarno| first2=Riyanarto| last3= Zulaika | first3=Enny| title = Information Quality Ratio as a novel metric for mother wavelet selection| journal = Chemometrics and Intelligent Laboratory Systems| journal = Chemometrics and Intelligent Laboratory Systems| volume = 160| pages = 59–71| doi = 10.1016/j.chemolab.2016.11.012|year= 2017 }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This normalized version also known as Information Quality Ratio (IQR) which quantifies the amount of information of a variable based on another variable against total uncertainty:&lt;br /&gt;
这个标准化版本也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;信息质量比率 Information Quality Ratio，IQR&amp;lt;/font&amp;gt;''' ，它根据另一个变量量化了一个变量的信息量，来对抗总的不确定性: &lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;IQR(X, Y) = \operatorname{E}[\operatorname{I}(X;Y)] &lt;br /&gt;
&lt;br /&gt;
= \frac{\operatorname{I}(X;Y)}{H(X, Y)} &lt;br /&gt;
&lt;br /&gt;
= \frac{\sum_{x \in X} \sum_{y \in Y} p(x, y) \log {p(x)p(y)}}{\sum_{x \in X} \sum_{y \in Y} p(x, y) \log {p(x, y)}} - 1&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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There's a normalization&amp;lt;ref name=&amp;quot;strehl-jmlr02&amp;quot;&amp;gt;{{cite journal| title = Cluster Ensembles – A Knowledge Reuse Framework for Combining Multiple Partitions| journal = The Journal of Machine Learning Research| pages = 583–617 | volume = 3 | year = 2003| last1 = Strehl | first1 = Alexander | last2 = Ghosh | first2 = Joydeep| doi=10.1162/153244303321897735| url=http://www.jmlr.org/papers/volume3/strehl02a/strehl02a.pdf}}&amp;lt;/ref&amp;gt; which derives from first thinking of mutual information as an analogue to [[covariance]] (thus [[Entropy (information theory)|Shannon entropy]] is analogous to [[variance]]).  Then the normalized mutual information is calculated akin to the [[Pearson product-moment correlation coefficient|Pearson correlation coefficient]],&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
There's a normalization which derives from first thinking of mutual information as an analogue to [[covariance]] (thus [[Entropy (information theory)|Shannon entropy]] is analogous to [[variance]]).  Then the normalized mutual information is calculated akin to the [[Pearson product-moment correlation coefficient|Pearson correlation coefficient]],&lt;br /&gt;
&lt;br /&gt;
有一个标准化的名字——它起源于最初把互信息看作是'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;协方差 Covariance&amp;lt;/font&amp;gt;'''的类比（因此香农熵类似于方差）。然后计算归一化互信息类似于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;皮尔森相关系数 Pearson product-moment&amp;lt;/font&amp;gt;'''：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\frac{\operatorname{I}(X;Y)}{\sqrt{H(X)H(Y)}}\; .&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== 加权变量 Weighted variants ===&lt;br /&gt;
&lt;br /&gt;
In the traditional formulation of the mutual information,&lt;br /&gt;
&lt;br /&gt;
In the traditional formulation of the mutual information,&lt;br /&gt;
&lt;br /&gt;
在互信息的传统表述中：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; \operatorname{I}(X;Y) &lt;br /&gt;
&lt;br /&gt;
 = \sum_{y \in Y} \sum_{x \in X} p(x, y) \log \frac{p(x, y)}{p(x)\,p(y)}, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
each ''event'' or ''object''  specified by &amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; is weighted by the corresponding  probability &amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;.  This assumes that all objects or events are equivalent ''apart from'' their probability of occurrence.  However, in some applications it may be the case that certain objects or events are more ''significant'' than others, or that certain patterns of association are more semantically important than others.&lt;br /&gt;
&lt;br /&gt;
each event or object  specified by &amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; is weighted by the corresponding  probability &amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;.  This assumes that all objects or events are equivalent apart from their probability of occurrence.  However, in some applications it may be the case that certain objects or events are more significant than others, or that certain patterns of association are more semantically important than others.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;(x, y)&amp;lt;/math&amp;gt; 指定的每个事件或对象都由相应的概率&amp;lt;math&amp;gt;p(x, y)&amp;lt;/math&amp;gt;进行加权。这假设所有的物体或事件除了发生的概率外都是相等的。然而，在某些应用场景中，某些对象或事件可能比其他对象或事件更重要，或者某些关联模式在语义上比其他模式更重要。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For example, the deterministic mapping &amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt; may be viewed as stronger than the deterministic mapping &amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;, although these relationships would yield the same mutual information.  This is because the mutual information is not sensitive at all to any inherent ordering in the variable values ({{harvnb|Cronbach|1954}}, {{harvnb|Coombs|Dawes|Tversky|1970}}, {{harvnb|Lockhead|1970}}), and is therefore not sensitive at all to the '''form''' of the relational mapping between the associated variables.  If it is desired that the former relation—showing agreement on all variable values—be judged stronger than the later relation, then it is possible to use the following ''weighted mutual information'' {{harv|Guiasu|1977}}.&lt;br /&gt;
&lt;br /&gt;
For example, the deterministic mapping {(1,1),(2,2),(3,3)} may be viewed as stronger than the deterministic mapping {(1,3),(2,1),(3,2)}, although these relationships would yield the same mutual information. This is because the mutual information is not sensitive at all to any inherent ordering in the variable values, and is therefore not sensitive at all to the form of the relational mapping between the associated variables. If it is desired that the former relation—showing agreement on all variable values—be judged stronger than the later relation, then it is possible to use the following weighted mutual information.&lt;br /&gt;
&lt;br /&gt;
例如，确定性映射&amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt;可能被视为比确定性映射&amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;更强，尽管这些关系产生的互信息是相同的。这是因为互信息对变量值的任何内在顺序都不敏感，因此对关联变量之间的关系映射形式一点也不敏感。如果希望对所有变量值表示一致的前一个关系比后一个关系强，则可以使用以下加权互信息的方法：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; \operatorname{I}(X;Y) = \sum_{y \in Y} \sum_{x \in X} w(x,y) p(x,y) \log \frac{p(x,y)}{p(x)\,p(y)}, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which places a weight &amp;lt;math&amp;gt;w(x,y)&amp;lt;/math&amp;gt; on the probability of each variable value co-occurrence, &amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;. This allows that certain probabilities may carry more or less significance than others, thereby allowing the quantification of relevant ''holistic'' or ''[[Prägnanz]]'' factors.  In the above example, using larger relative weights for &amp;lt;math&amp;gt;w(1,1)&amp;lt;/math&amp;gt;, &amp;lt;math&amp;gt;w(2,2)&amp;lt;/math&amp;gt;, and &amp;lt;math&amp;gt;w(3,3)&amp;lt;/math&amp;gt; would have the effect of assessing greater ''informativeness'' for the relation  &amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt; than for the relation &amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;, which may be desirable in some cases of pattern recognition, and the like.  This weighted mutual information is a form of weighted KL-Divergence, which is known to take negative values for some inputs,&amp;lt;ref name=&amp;quot;weighted-kl&amp;quot;&amp;gt;{{cite journal | last1 = Kvålseth | first1 = T. O. | year = 1991 | title = The relative useful information measure: some comments | url = | journal = Information Sciences | volume = 56 | issue = 1| pages = 35–38 | doi=10.1016/0020-0255(91)90022-m}}&amp;lt;/ref&amp;gt; and there are examples where the weighted mutual information also takes negative values.&amp;lt;ref&amp;gt;{{cite dissertation|title=Feature Selection Via Joint Likelihood|first=A. |last=Pocock|year=2012|url=http://www.cs.man.ac.uk/~gbrown/publications/pocockPhDthesis.pdf}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
which places a weight 𝑤(𝑥,𝑦) on the probability of each variable value co-occurrence, 𝑝(𝑥,𝑦). This allows that certain probabilities may carry more or less significance than others, thereby allowing the quantification of relevant holistic or Prägnanz factors. In the above example, using larger relative weights for 𝑤(1,1), 𝑤(2,2), and 𝑤(3,3) would have the effect of assessing greater informativeness for the relation {(1,1),(2,2),(3,3)} than for the relation {(1,3),(2,1),(3,2)}, which may be desirable in some cases of pattern recognition, and the like. This weighted mutual information is a form of weighted KL-Divergence, which is known to take negative values for some inputs,[24] and there are examples where the weighted mutual information also takes negative values.[25]&lt;br /&gt;
&lt;br /&gt;
设每个变量值同时出现的概率&amp;lt;math&amp;gt;p(x,y)&amp;lt;/math&amp;gt;的权重为&amp;lt;math&amp;gt;w(x,y)&amp;lt;/math&amp;gt;。这使得某些概率可能比其他概率具有更多（或更少）的重要性，从而可以量化整个相关的整体或其中的Prägnanz因素。在上面的例子中，对&amp;lt;math&amp;gt;w(1,1)&amp;lt;/math&amp;gt;、&amp;lt;math&amp;gt;w(2,2)&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;w(3,3)&amp;lt;/math&amp;gt;使用更大的相对权重与评估关系&amp;lt;math&amp;gt;\{(1,1),(2,2),(3,3)\}&amp;lt;/math&amp;gt;比关系&amp;lt;math&amp;gt;\{(1,3),(2,1),(3,2)\}&amp;lt;/math&amp;gt;更大的信息性的效果是一样的，这在一些模式识别等情况下是可行的。这种加权互信息是加权KL散度的一种形式，已知它对某些输入取负值，并且在一些例子中加权互信息也取负值。&lt;br /&gt;
&lt;br /&gt;
=== 调整后的互信息 Adjusted mutual information ===&lt;br /&gt;
&lt;br /&gt;
{{Main|adjusted mutual information}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
A probability distribution can be viewed as a [[partition of a set]].  One may then ask: if a set were partitioned randomly, what would the distribution of probabilities be?  What would the expectation value of the mutual information be? The [[adjusted mutual information]] or AMI subtracts the expectation value of the MI, so that the AMI is zero when two different distributions are random, and one when two distributions are identical.  The AMI is defined in analogy to the [[adjusted Rand index]] of two different partitions of a set.&lt;br /&gt;
&lt;br /&gt;
A probability distribution can be viewed as a partition of a set.  One may then ask: if a set were partitioned randomly, what would the distribution of probabilities be?  What would the expectation value of the mutual information be? The adjusted mutual information or AMI subtracts the expectation value of the MI, so that the AMI is zero when two different distributions are random, and one when two distributions are identical.  The AMI is defined in analogy to the adjusted Rand index of two different partitions of a set.&lt;br /&gt;
&lt;br /&gt;
概率分布可以被看作是集合划分。然后有人可能会问: 如果一个集合被随机分割，概率的分布会是什么？相互信息的期望值是什么？我们用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;调整后的互信息 Adjusted mutual information&amp;lt;/font&amp;gt;'''或 AMI 减去 MI 的期望值，这样当两个不同的分布是随机的时候 AMI 为零，当两个分布是相同的时候 AMI 为零。AMI的定义类似于一个集合的两个不同分区的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;调整后的Rand指数 Adjusted Rand index&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
&lt;br /&gt;
=== 绝对互信息 Absolute mutual information ===&amp;lt;!-- This section is linked from Kolmogorov complexity --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Using the ideas of [[Kolmogorov complexity]], one can consider the mutual information of two sequences independent of any probability distribution:&lt;br /&gt;
&lt;br /&gt;
Using the ideas of Kolmogorov complexity, one can consider the mutual information of two sequences independent of any probability distribution:&lt;br /&gt;
&lt;br /&gt;
利用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;柯氏复杂性 Kolmogorov complexity&amp;lt;/font&amp;gt;'''的思想，我们可以考虑两个序列的互信息，这两个序列独立于任何概率分布序列:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
\operatorname{I}_K(X;Y) = K(X) - K(X|Y).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
To establish that this quantity is symmetric up to a logarithmic factor (&amp;lt;math&amp;gt;\operatorname{I}_K(X;Y) \approx \operatorname{I}_K(Y;X)&amp;lt;/math&amp;gt;) one requires the [[chain rule for Kolmogorov complexity]] {{Harvard citation|Li|Vitányi|1997}}. Approximations of this quantity via [[Data compression|compression]] can be used to define a [[Metric (mathematics)|distance measure]] to perform a [[hierarchical clustering]] of sequences without having any [[domain knowledge]] of the sequences {{Harvard citation|Cilibrasi|Vitányi|2005}}.&lt;br /&gt;
&lt;br /&gt;
To establish that this quantity is symmetric up to a logarithmic factor (I𝐾(𝑋;𝑌)≈I𝐾(𝑌;𝑋)) one requires the chain rule for Kolmogorov complexity.Approximations of this quantity via compression can be used to define a distance measure to perform a hierarchical clustering of sequences without having any domain knowledge of the sequences.&lt;br /&gt;
&lt;br /&gt;
为了确定这个量在对数因子&amp;lt;math&amp;gt;\operatorname{I}_K(X;Y) \approx \operatorname{I}_K(Y;X)&amp;lt;/math&amp;gt;是对称的，需要'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; Kolmogorov复杂性的链式规则 Chain rule for Kolmogorov complexity&amp;lt;/font&amp;gt;'''。通过压缩对这个量的近似值可以用来定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;距离度量 Distance measure&amp;lt;/font&amp;gt;'''来执行序列的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;层次聚类 Hierarchical clustering&amp;lt;/font&amp;gt;'''，而不需要序列的任何领域知识。&lt;br /&gt;
&lt;br /&gt;
=== 线性相关 Linear correlation ===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Unlike correlation coefficients, such as the [[product moment correlation coefficient]], mutual information contains information about all dependence—linear and nonlinear—and not just linear dependence as the correlation coefficient measures. However, in the narrow case that the joint distribution for &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a [[bivariate normal distribution]] (implying in particular that both marginal distributions are normally distributed), there is an exact relationship between &amp;lt;math&amp;gt;\operatorname{I}&amp;lt;/math&amp;gt; and the correlation coefficient &amp;lt;math&amp;gt;\rho&amp;lt;/math&amp;gt; {{harv|Gel'fand|Yaglom|1957}}.&lt;br /&gt;
&lt;br /&gt;
Unlike correlation coefficients, such as the product moment correlation coefficient, mutual information contains information about all dependence—linear and nonlinear—and not just linear dependence as the correlation coefficient measures. However, in the narrow case that the joint distribution for &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; is a bivariate normal distribution (implying in particular that both marginal distributions are normally distributed), there is an exact relationship between &amp;lt;math&amp;gt;\operatorname{I}&amp;lt;/math&amp;gt; and the correlation coefficient &amp;lt;math&amp;gt;\rho&amp;lt;/math&amp;gt; .&lt;br /&gt;
&lt;br /&gt;
互信息不同于相关系数，如乘积矩相关系数，互信息包含所有相关信息ーー线性和非线性ーー而不仅仅是相关系数的线性相关。然而，在数学 x / math 和数学 y / math 的联合分布是二元正态分布(特别是边际分布都是正态分布)的狭义情况下，数学运算子{ i } / math 与相关系数 math / rho / math 之间存在精确的关系。&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\operatorname{I} = -\frac{1}{2} \log\left(1 - \rho^2\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The equation above can be derived as follows for a bivariate Gaussian:&lt;br /&gt;
&lt;br /&gt;
The equation above can be derived as follows for a bivariate Gaussian:&lt;br /&gt;
&lt;br /&gt;
对于双变量高斯分布，上面的公式可以推导如下:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\begin{align}&lt;br /&gt;
&lt;br /&gt;
  \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    X_1 \\&lt;br /&gt;
&lt;br /&gt;
    X_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix}  &amp;amp;\sim \mathcal{N} \left( \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    \mu_1 \\&lt;br /&gt;
&lt;br /&gt;
    \mu_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix}, \Sigma \right),\qquad&lt;br /&gt;
&lt;br /&gt;
  \Sigma = \begin{pmatrix}&lt;br /&gt;
&lt;br /&gt;
    \sigma^2_1           &amp;amp; \rho\sigma_1\sigma_2 \\&lt;br /&gt;
&lt;br /&gt;
    \rho\sigma_1\sigma_2 &amp;amp; \sigma^2_2&lt;br /&gt;
&lt;br /&gt;
  \end{pmatrix} \\&lt;br /&gt;
&lt;br /&gt;
       H(X_i) &amp;amp;= \frac{1}{2}\log\left(2\pi e \sigma_i^2\right) = \frac{1}{2} + \frac{1}{2}\log(2\pi) + \log\left(\sigma_i\right), \quad i\in\{1, 2\} \\&lt;br /&gt;
&lt;br /&gt;
  H(X_1, X_2) &amp;amp;= \frac{1}{2}\log\left[(2\pi e)^2|\Sigma|\right] = 1 + \log(2\pi) + \log\left(\sigma_1 \sigma_2\right) + \frac{1}{2}\log\left(1 - \rho^2\right) \\&lt;br /&gt;
&lt;br /&gt;
\end{align}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Therefore, &lt;br /&gt;
&lt;br /&gt;
Therefore, &lt;br /&gt;
&lt;br /&gt;
所以,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
  \operatorname{I}\left(X_1; X_2\right) &lt;br /&gt;
&lt;br /&gt;
= H\left(X_1\right) + H\left(X_2\right) - H\left(X_1, X_2\right)  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= -\frac{1}{2}\log\left(1 - \rho^2\right)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== 对于离散数据 For discrete data ===&lt;br /&gt;
&lt;br /&gt;
When &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; are limited to be in a discrete number of states, observation data is summarized in a [[contingency table]], with row variable &amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;i&amp;lt;/math&amp;gt;) and column variable &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; (or &amp;lt;math&amp;gt;j&amp;lt;/math&amp;gt;).  Mutual information is one of the measures of [[association (statistics)|association]] or [[correlation and dependence|correlation]] between the row and column variables.  Other measures of association include [[Pearson's chi-squared test]] statistics, [[G-test]] statistics, etc. In fact, mutual information is equal to [[G-test]] statistics divided by &amp;lt;math&amp;gt;2N&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt; is the sample size.&lt;br /&gt;
&lt;br /&gt;
When 𝑋 and 𝑌 are limited to be in a discrete number of states, observation data is summarized in a contingency table, with row variable 𝑋 (or 𝑖) and column variable 𝑌 (or 𝑗). Mutual information is one of the measures of association or correlation between the row and column variables. Other measures of association include Pearson's chi-squared test statistics, G-test statistics, etc. In fact, mutual information is equal to G-test statistics divided by 2𝑁, where 𝑁 is the sample size.&lt;br /&gt;
&lt;br /&gt;
当&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;被限制为离散状态时，观测数据汇总在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;列联表 Contingency table&amp;lt;/font&amp;gt;'''中，列变量为行变量&amp;lt;math&amp;gt;X&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;i&amp;lt;/math&amp;gt;）和列变量&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt;（或&amp;lt;math&amp;gt;j&amp;lt;/math&amp;gt;）。互信息是行和列变量之间关联或相关性的度量之一。其他关联度量包括Pearson卡方检验统计量、'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;G检验 G-test&amp;lt;/font&amp;gt;'''统计量等。事实上，互信息等于G检验统计量除以&amp;lt;math&amp;gt;2N&amp;lt;/math&amp;gt;，其中&amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt;为样本量。&lt;br /&gt;
&lt;br /&gt;
== 应用 Applications ==&lt;br /&gt;
&lt;br /&gt;
In many applications, one wants to maximize mutual information (thus increasing dependencies), which is often equivalent to minimizing [[conditional entropy]].  Examples include:&lt;br /&gt;
&lt;br /&gt;
In many applications, one wants to maximize mutual information (thus increasing dependencies), which is often equivalent to minimizing conditional entropy.  Examples include:&lt;br /&gt;
&lt;br /&gt;
在许多应用场景中，需要最大化互信息（从而增加依赖关系），这通常相当于最小化条件熵。例如:&lt;br /&gt;
&lt;br /&gt;
* In [[search engine technology]], mutual information between phrases and contexts is used as a feature for [[k-means clustering]] to discover semantic clusters (concepts).&amp;lt;ref name=magerman&amp;gt;[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.78.4178&amp;amp;rep=rep1&amp;amp;type=pdf Parsing a Natural Language Using Mutual Information Statistics] by David M. Magerman and Mitchell P. Marcus&amp;lt;/ref&amp;gt;  For example, the mutual information of a bigram might be calculated as:&lt;br /&gt;
&lt;br /&gt;
{{Equation box 1&lt;br /&gt;
&lt;br /&gt;
|indent=::&lt;br /&gt;
&lt;br /&gt;
|equation=&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;MI(x,y) = \log \frac{P_{X,Y}(x,y)}{P_X(x) P_Y(y)} \approx log \frac{\frac{f_{XY}}{B}}{\frac{f_X}{U} \frac{f_Y}{U}} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
|cellpadding= 6&lt;br /&gt;
&lt;br /&gt;
|border&lt;br /&gt;
&lt;br /&gt;
|border colour = #0073CF&lt;br /&gt;
&lt;br /&gt;
|background colour=#F5FFFA}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt; is the number of times the bigram xy appears in the corpus, &amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt; is the number of times the unigram x appears in the corpus, B is the total number of bigrams, and U is the total number of unigrams.&amp;lt;ref name=magerman/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 where &amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt; is the number of times the bigram xy appears in the corpus, &amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt; is the number of times the unigram x appears in the corpus, B is the total number of bigrams, and U is the total number of unigrams.&lt;br /&gt;
&lt;br /&gt;
其中&amp;lt;math&amp;gt;f_{XY}&amp;lt;/math&amp;gt;是 bigram XY 在语料库中出现的次数，&amp;lt;math&amp;gt;f_{X}&amp;lt;/math&amp;gt;是 unigram x 在语料库中出现的次数，b 是 bigrams 的总数，u 是 unigrams 的总数。&lt;br /&gt;
&lt;br /&gt;
* In [[telecommunications]], the [[channel capacity]] is equal to the mutual information, maximized over all input distributions.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In telecommunications, the channel capacity is equal to the mutual information, maximized over all input distributions.&lt;br /&gt;
&lt;br /&gt;
在所有的通信信道中，信息的最大化分配是在所有的通信信道上进行的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Discriminative model|Discriminative training]] procedures for [[hidden Markov model]]s have been proposed based on the [[maximum mutual information]] (MMI) criterion.&lt;br /&gt;
&lt;br /&gt;
Discriminative training procedures for hidden Markov models have been proposed based on the maximum mutual information (MMI) criterion.&lt;br /&gt;
&lt;br /&gt;
现在已经提出了基于最大互信息（MMI）准则的隐马尔可夫模型判别训练方法。&lt;br /&gt;
&lt;br /&gt;
* [[Nucleic acid secondary structure|RNA secondary structure]] prediction from a [[multiple sequence alignment]].&lt;br /&gt;
&lt;br /&gt;
RNA secondary structure prediction from a multiple sequence alignment.&lt;br /&gt;
&lt;br /&gt;
从多序列比对预测RNA二级结构。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Phylogenetic profiling]] prediction from pairwise present and disappearance of functionally link [[gene]]s.&lt;br /&gt;
&lt;br /&gt;
Phylogenetic profiling prediction from pairwise present and disappearance of functionally link genes.&lt;br /&gt;
&lt;br /&gt;
功能连锁基因成对存在与消失的系统发育模式预测。&lt;br /&gt;
&lt;br /&gt;
* Mutual information has been used as a criterion for [[feature selection]] and feature transformations in [[machine learning]]. It can be used to characterize both the relevance and redundancy of variables, such as the [[minimum redundancy feature selection]].&lt;br /&gt;
&lt;br /&gt;
Mutual information has been used as a criterion for feature selection and feature transformations in machine learning. It can be used to characterize both the relevance and redundancy of variables, such as the minimum redundancy feature selection.&lt;br /&gt;
&lt;br /&gt;
在机器学习中，互信息作为特征选择和特征转换的准则。它可以用来表征变量的相关性和冗余性，例如最小冗余特征选择。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Mutual information is used in determining the similarity of two different [[cluster analysis|clusterings]] of a dataset.  As such, it provides some advantages over the traditional [[Rand index]].&lt;br /&gt;
&lt;br /&gt;
Mutual information is used in determining the similarity of two different clusterings of a dataset. As such, it provides some advantages over the traditional Rand index.&lt;br /&gt;
&lt;br /&gt;
互信息用于确定数据集中两个不同聚类的相似性。因此，它与传统的Rand指数相比具有一定的优势。&lt;br /&gt;
&lt;br /&gt;
* Mutual information of words is often used as a significance function for the computation of [[collocation]]s in [[corpus linguistics]]. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt; words of another, goes up with &amp;lt;math&amp;gt;N&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Mutual information of words is often used as a significance function for the computation of collocations in corpus linguistics. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within 𝑁 words of another, goes up with 𝑁.&lt;br /&gt;
&lt;br /&gt;
在语料库语言学中，词的互信息常常被用作计算搭配的意义函数。这增加了复杂性，即没有一个单词实例是两个不同单词的实例；相反，我们统计两个单词相邻或非常接近的实例；这稍微使计算复杂化，因为一个单词出现在另一个单词的𝑁单词中的预期概率会增加。&lt;br /&gt;
&lt;br /&gt;
* Mutual information is used in [[medical imaging]] for [[image registration]]. Given a reference image (for example, a brain scan), and a second image which needs to be put into the same [[coordinate system]] as the reference image, this image is deformed until the mutual information between it and the reference image is maximized.&lt;br /&gt;
&lt;br /&gt;
Mutual information is used in medical imaging for image registration. Given a reference image (for example, a brain scan), and a second image which needs to be put into the same coordinate system as the reference image, this image is deformed until the mutual information between it and the reference image is maximized.&lt;br /&gt;
&lt;br /&gt;
在医学成像中，利用互信息进行图像配准。给定一个参考图像（例如，脑部扫描），以及需要将第二个图像放入与参考图像相同的坐标系中，该图像会发生变形，直到其与参考图像之间的互信息最大化。&lt;br /&gt;
&lt;br /&gt;
* Detection of [[phase synchronization]] in [[time series]] analysis&lt;br /&gt;
&lt;br /&gt;
Detection of phase synchronization in time series analysis&lt;br /&gt;
&lt;br /&gt;
时间序列分析中的相位同步检测。&lt;br /&gt;
&lt;br /&gt;
* In the [[infomax]] method for neural-net and other machine learning, including the infomax-based [[Independent component analysis]] algorithm&lt;br /&gt;
&lt;br /&gt;
In the infomax method for neural-net and other machine learning, including the infomax-based Independent component analysis algorithm.&lt;br /&gt;
&lt;br /&gt;
在infomax方法中用于神经网络等机器学习，包括基于infomax的独立分量分析算法&lt;br /&gt;
&lt;br /&gt;
* Average mutual information in [[delay embedding theorem]] is used for determining the ''embedding delay'' parameter.&lt;br /&gt;
&lt;br /&gt;
Average mutual information in delay embedding theorem is used for determining the embedding delay parameter.&lt;br /&gt;
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利用延迟嵌入定理中的平均互信息确定嵌入延迟参数。&lt;br /&gt;
&lt;br /&gt;
* Mutual information between [[genes]] in [[microarray|expression microarray]] data is used by the ARACNE algorithm for reconstruction of [[gene regulatory network|gene networks]].&lt;br /&gt;
&lt;br /&gt;
Mutual information between genes in expression microarray data is used by the ARACNE algorithm for reconstruction of gene networks.&lt;br /&gt;
&lt;br /&gt;
ARACNE算法利用表达微阵列数据中基因间的互信息来重构基因网络。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* In [[statistical mechanics]], [[Loschmidt's paradox]] may be expressed in terms of mutual information.&amp;lt;ref name=everett56&amp;gt;[[Hugh Everett]] [https://www.pbs.org/wgbh/nova/manyworlds/pdf/dissertation.pdf Theory of the Universal Wavefunction], Thesis, Princeton University, (1956, 1973), pp 1–140 (page 30)&amp;lt;/ref&amp;gt;&amp;lt;ref name=everett57&amp;gt;{{cite journal | last1 = Everett | first1 = Hugh | authorlink = Hugh Everett | year = 1957 | title = Relative State Formulation of Quantum Mechanics | url = http://www.univer.omsk.su/omsk/Sci/Everett/paper1957.html | journal = Reviews of Modern Physics | volume = 29 | issue = 3 | pages = 454–462 | doi = 10.1103/revmodphys.29.454 | bibcode = 1957RvMP...29..454E | access-date = 2012-07-16 | archive-url = https://web.archive.org/web/20111027191052/http://www.univer.omsk.su/omsk/Sci/Everett/paper1957.html | archive-date = 2011-10-27 | url-status = dead }}&amp;lt;/ref&amp;gt; Loschmidt noted that it must be impossible to determine a physical law which lacks [[time reversal symmetry]] (e.g. the [[second law of thermodynamics]]) only from physical laws which have this symmetry. He pointed out that the [[H-theorem]] of [[Boltzmann]] made the assumption that the velocities of particles in a gas  were permanently uncorrelated, which removed the time symmetry inherent in the H-theorem. It can be shown that if a system is described by a probability density in [[phase space]], then [[Liouville's theorem (Hamiltonian)|Liouville's theorem]] implies that the joint information (negative of the joint entropy) of the distribution remains constant in time. The joint information is equal to the mutual information plus the sum of all the marginal information (negative of the marginal entropies) for each particle coordinate. Boltzmann's assumption amounts to ignoring the mutual information in the calculation of entropy, which yields the thermodynamic entropy (divided by Boltzmann's constant).&lt;br /&gt;
&lt;br /&gt;
In statistical mechanics, Loschmidt's paradox may be expressed in terms of mutual information.[27][28] Loschmidt noted that it must be impossible to determine a physical law which lacks time reversal symmetry (e.g. the second law of thermodynamics) only from physical laws which have this symmetry. He pointed out that the H-theorem of Boltzmann made the assumption that the velocities of particles in a gas were permanently uncorrelated, which removed the time symmetry inherent in the H-theorem. It can be shown that if a system is described by a probability density in phase space, then Liouville's theorem implies that the joint information (negative of the joint entropy) of the distribution remains constant in time. The joint information is equal to the mutual information plus the sum of all the marginal information (negative of the marginal entropies) for each particle coordinate. Boltzmann's assumption amounts to ignoring the mutual information in the calculation of entropy, which yields the thermodynamic entropy (divided by Boltzmann's constant).&lt;br /&gt;
&lt;br /&gt;
在统计力学中，Loschmidt悖论可以用相互信息来表示。Loschmidt指出，只有从具有这种对称性的物理定律中确定缺乏时间反转对称性的物理定律（例如热力学第二定律）是不可能的。他指出，玻尔兹曼的H-定理假设气体中粒子的速度是永久不相关的，这就消除了H-定理固有的时间对称性。可以证明，如果系统在相空间中用概率密度来描述，那么Liouville定理意味着分布的联合信息（联合熵的负）在时间上保持不变。关节信息等于互信息加上每个粒子坐标的所有边缘信息（负的边缘熵）之和。玻尔兹曼的假设相当于在熵的计算中忽略了相互信息，从而得到了热力学熵（除以玻尔兹曼常数）。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* The mutual information is used to learn the structure of [[Bayesian network]]s/[[dynamic Bayesian network]]s, which is thought to explain the causal relationship between random variables, as exemplified by the GlobalMIT toolkit:&amp;lt;ref&amp;gt;{{Google Code|globalmit|GlobalMIT}}&amp;lt;/ref&amp;gt; learning the globally optimal dynamic Bayesian network with the Mutual Information Test criterion.&lt;br /&gt;
&lt;br /&gt;
The mutual information is used to learn the structure of Bayesian networks/dynamic Bayesian networks, which is thought to explain the causal relationship between random variables, as exemplified by the GlobalMIT toolkit:[29] learning the globally optimal dynamic Bayesian network with the Mutual Information Test criterion.&lt;br /&gt;
&lt;br /&gt;
互信息用于学习贝叶斯网络/动态贝叶斯网络的结构，被认为是用来解释随机变量之间的因果关系，如GlobalMIT工具包[29]用互信息检验准则学习全局最优动态贝叶斯网络。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* Popular cost function in [[decision tree learning]].&lt;br /&gt;
&lt;br /&gt;
Popular cost function in decision tree learning.&lt;br /&gt;
&lt;br /&gt;
作为决策树学习中常用的代价函数。&lt;br /&gt;
&lt;br /&gt;
* The mutual information is used in [[cosmology]] to test the influence of large-scale environments on galaxy properties in the [[Galaxy Zoo]].&lt;br /&gt;
&lt;br /&gt;
The mutual information is used in cosmology to test the influence of large-scale environments on galaxy properties in the Galaxy Zoo.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;星系 Galaxy Zoo&amp;lt;/font&amp;gt;'''中，利用互信息在宇宙学中测试大尺度环境对星系性质的影响。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* The mutual information was used in [[Solar Physics]]  to derive the solar [[differential rotation]] profile, a travel-time deviation map for sunspots, and a time–distance diagram from quiet-Sun measurements&amp;lt;ref&amp;gt;{{cite journal|last1=Keys|first1=Dustin|last2=Kholikov|first2=Shukur|last3=Pevtsov|first3=Alexei A.|title=Application of Mutual Information Methods in Time Distance Helioseismology|journal=Solar Physics|date=February 2015|volume=290|issue=3|pages=659–671|doi=10.1007/s11207-015-0650-y|arxiv=1501.05597|bibcode=2015SoPh..290..659K}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The mutual information was used in Solar Physics to derive the solar differential rotation profile, a travel-time deviation map for sunspots, and a time–distance diagram from quiet-Sun measurements.&lt;br /&gt;
&lt;br /&gt;
在太阳物理学中，相互信息被用于推导太阳差分自转剖面图、太阳黑子的旅行时间偏差图和安静太阳测量的时间-距离图。&lt;br /&gt;
&lt;br /&gt;
* Used in Invariant Information Clustering to automatically train neural network classifiers and image segmenters given no labelled data.&amp;lt;ref name=iic&amp;gt;[https://arxiv.org/abs/1807.06653 Invariant Information Clustering for Unsupervised Image Classification and Segmentation] by Xu Ji, Joao Henriques and Andrea Vedaldi&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Used in Invariant Information Clustering to automatically train neural network classifiers and image segmenters given no labelled data.&lt;br /&gt;
&lt;br /&gt;
用于不变信息聚类，在没有标记数据的情况下自动训练神经网络分类器和图像分割器。&lt;br /&gt;
&lt;br /&gt;
== 参见 See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Pointwise mutual information]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Quantum mutual information]]&lt;br /&gt;
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&lt;br /&gt;
== 注释 Notes ==&lt;br /&gt;
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&amp;lt;references /&amp;gt;&lt;br /&gt;
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== 参考资料 References ==&lt;br /&gt;
&lt;br /&gt;
* {{cite journal|last1=Baudot|first1=P.|last2=Tapia|first2=M.|last3=Bennequin|first3=D.|last4=Goaillard|first4=J.M.|title=Topological Information Data Analysis|journal=Entropy|volume=21|issue=9|at=869|year=2019|doi= 10.3390/e21090869|bibcode=2019Entrp..21..869B|arxiv=1907.04242}}&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
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  | last1 = Cilibrasi&lt;br /&gt;
&lt;br /&gt;
  | last1 = Cilibrasi&lt;br /&gt;
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1塞利布拉西&lt;br /&gt;
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  | first1 = R.&lt;br /&gt;
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  | first1 = R.&lt;br /&gt;
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1 r.&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
| first2保罗&lt;br /&gt;
&lt;br /&gt;
  | last2 = Vitányi&lt;br /&gt;
&lt;br /&gt;
  | last2 = Vitányi&lt;br /&gt;
&lt;br /&gt;
  | last2 = Vitányi&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
压缩聚类&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | journal = IEEE Transactions on Information Theory&lt;br /&gt;
&lt;br /&gt;
美国电气和电子工程师协会信息理论杂志&lt;br /&gt;
&lt;br /&gt;
  | volume = 51&lt;br /&gt;
&lt;br /&gt;
  | volume = 51&lt;br /&gt;
&lt;br /&gt;
第51卷&lt;br /&gt;
&lt;br /&gt;
  | issue = 4&lt;br /&gt;
&lt;br /&gt;
  | issue = 4&lt;br /&gt;
&lt;br /&gt;
第四期&lt;br /&gt;
&lt;br /&gt;
  | pages = 1523–1545&lt;br /&gt;
&lt;br /&gt;
  | pages = 1523–1545&lt;br /&gt;
&lt;br /&gt;
第1523-1545页&lt;br /&gt;
&lt;br /&gt;
  | year = 2005&lt;br /&gt;
&lt;br /&gt;
  | year = 2005&lt;br /&gt;
&lt;br /&gt;
2005年&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
  | url = http://www.cwi.nl/~paulv/papers/cluster.pdf&lt;br /&gt;
&lt;br /&gt;
Http://www.cwi.nl/~paulv/papers/cluster.pdf&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
10.1109 / TIT. 2005.844059&lt;br /&gt;
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&lt;br /&gt;
不会有事的&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
| arxiv = cs/0312044&lt;br /&gt;
&lt;br /&gt;
  }}&lt;br /&gt;
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  }}&lt;br /&gt;
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  }}&lt;br /&gt;
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&lt;br /&gt;
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* {{cite journal|first1=I.M.|last1=Gel'fand|first2=A.M.|last2=Yaglom|year=1957|title=Calculation of amount of information about a random function contained in another such function|journal= American Mathematical Society Translations: Series 2 |volume = 12 | pages = 199–246 |ref=harv}} English translation of original in ''Uspekhi Matematicheskikh Nauk'' '''12'''&amp;amp;nbsp;(1):&amp;amp;nbsp;3-52.&lt;br /&gt;
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* {{cite book|last=Guiasu|first=Silviu|year=1977|title=Information Theory with Applications|publisher=McGraw-Hill, New York|isbn=978-0-07-025109-0|ref=harv}}&lt;br /&gt;
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  | last1 = Li&lt;br /&gt;
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  | last1 = Li&lt;br /&gt;
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最后一个李&lt;br /&gt;
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  | first1 = Ming&lt;br /&gt;
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  | first1 = Ming&lt;br /&gt;
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1 Ming&lt;br /&gt;
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  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
  | first2 = Paul&lt;br /&gt;
&lt;br /&gt;
| first2保罗&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
标题: 柯氏复杂性及其应用介绍&lt;br /&gt;
&lt;br /&gt;
  | location = New York&lt;br /&gt;
&lt;br /&gt;
  | location = New York&lt;br /&gt;
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| 地点: 纽约&lt;br /&gt;
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  | publisher = [[Springer-Verlag]]&lt;br /&gt;
&lt;br /&gt;
  | publisher = Springer-Verlag&lt;br /&gt;
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| 出版商 Springer-Verlag&lt;br /&gt;
&lt;br /&gt;
  |date=February 1997&lt;br /&gt;
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  |date=February 1997&lt;br /&gt;
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1997年2月&lt;br /&gt;
&lt;br /&gt;
  | isbn = 978-0-387-94868-3&lt;br /&gt;
&lt;br /&gt;
  | isbn = 978-0-387-94868-3&lt;br /&gt;
&lt;br /&gt;
[国际标准图书编号978-0-387-94868-3]&lt;br /&gt;
&lt;br /&gt;
  | ref=harv }}&lt;br /&gt;
&lt;br /&gt;
  | ref=harv }}&lt;br /&gt;
&lt;br /&gt;
| ref harv }&lt;br /&gt;
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* David J. C. MacKay. ''[http://www.inference.phy.cam.ac.uk/mackay/itila/book.html Information Theory, Inference, and Learning Algorithms]'' Cambridge: Cambridge University Press, 2003. {{isbn|0-521-64298-1}} (available free online)&lt;br /&gt;
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* [[Athanasios Papoulis]]. ''Probability, Random Variables, and Stochastic Processes'', second edition. New York: McGraw-Hill, 1984. ''(See Chapter 15.)''&lt;br /&gt;
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* {{cite journal|author=Peng, H.C. |author2=Long, F. |author3=Ding, C. |lastauthoramp=yes |title=Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy|journal=IEEE Transactions on Pattern Analysis and Machine Intelligence|volume=27|issue=8|pages=1226–1238|year=2005|url=http://research.janelia.org/peng/proj/mRMR/index.htm|doi=10.1109/tpami.2005.159|pmid=16119262|citeseerx=10.1.1.63.5765}}&lt;br /&gt;
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* {{cite journal|author1=Andre S. Ribeiro |author2=Stuart A. Kauffman |author3=Jason Lloyd-Price |author4=Bjorn Samuelsson |author5=Joshua Socolar  |last-author-amp=yes |year=2008|title=Mutual Information in Random Boolean models of regulatory networks|journal=Physical Review E|volume=77|issue=1|pages=011901 |arxiv=0707.3642|doi=10.1103/physreve.77.011901 |pmid=18351870 |bibcode=2008PhRvE..77a1901R}}&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
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1 Wells&lt;br /&gt;
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  | first1 = W.M. III&lt;br /&gt;
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  | first1 = W.M. III&lt;br /&gt;
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首先是 w.m。三&lt;br /&gt;
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  | last2 = Viola&lt;br /&gt;
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  | last2 = Viola&lt;br /&gt;
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2 Viola&lt;br /&gt;
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  | first2 = P.&lt;br /&gt;
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  | first2 = P.&lt;br /&gt;
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| first2 p.&lt;br /&gt;
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  | last3 = Atsumi&lt;br /&gt;
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  | last3 = Atsumi&lt;br /&gt;
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3 Atsumi&lt;br /&gt;
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  | first3 = H.&lt;br /&gt;
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  | first3 = H.&lt;br /&gt;
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第一个3 h。&lt;br /&gt;
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  | last4 = Nakajima&lt;br /&gt;
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  | last4 = Nakajima&lt;br /&gt;
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| 最后4名中岛&lt;br /&gt;
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  | first4 = S.&lt;br /&gt;
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4 s.&lt;br /&gt;
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  | last5 = Kikinis&lt;br /&gt;
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最后5个 Kikinis&lt;br /&gt;
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  | first5 = R.&lt;br /&gt;
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  | first5 = R.&lt;br /&gt;
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| first5 r.&lt;br /&gt;
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  | title = Multi-modal volume registration by maximization of mutual information&lt;br /&gt;
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  | title = Multi-modal volume registration by maximization of mutual information&lt;br /&gt;
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最大化互信息的多模态卷注册&lt;br /&gt;
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  | journal = Medical Image Analysis&lt;br /&gt;
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  | journal = Medical Image Analysis&lt;br /&gt;
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医学图像分析&lt;br /&gt;
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第一期&lt;br /&gt;
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  | pages = 35–51&lt;br /&gt;
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  | year = 1996&lt;br /&gt;
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  | year = 1996&lt;br /&gt;
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1996年&lt;br /&gt;
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  | pmid = 9873920&lt;br /&gt;
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9873920&lt;br /&gt;
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  | doi = 10.1016/S1361-8415(01)80004-9&lt;br /&gt;
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  | doi = 10.1016/S1361-8415(01)80004-9&lt;br /&gt;
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| doi 10.1016 / S1361-8415(01)80004-9&lt;br /&gt;
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  | url = http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
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  | url = http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
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Http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
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  | ref = harv&lt;br /&gt;
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  | ref = harv&lt;br /&gt;
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不会有事的&lt;br /&gt;
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  | access-date = 2010-08-05&lt;br /&gt;
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  | access-date = 2010-08-05&lt;br /&gt;
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2010-08-05&lt;br /&gt;
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  | archive-url = https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
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  | archive-url = https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
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| 档案-网址 https://web.archive.org/web/20080906201633/http://www.ai.mit.edu/people/sw/papers/mia.pdf&lt;br /&gt;
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  | archive-date = 2008-09-06&lt;br /&gt;
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状态死机&lt;br /&gt;
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* {{cite journal | last1 = Pandey | first1 = Biswajit | last2 = Sarkar | first2 = Suman | year = 2017 | title = How much a galaxy knows about its large-scale environment?: An information theoretic perspective | url = | journal = Monthly Notices of the Royal Astronomical Society Letters| volume = 467 | issue = 1| page = L6 | doi=10.1093/mnrasl/slw250| arxiv = 1611.00283| bibcode = 2017MNRAS.467L...6P}}&lt;br /&gt;
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[[Category:Information theory]]&lt;br /&gt;
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Category:Information theory&lt;br /&gt;
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范畴: 信息论&lt;br /&gt;
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Category:Entropy and information&lt;br /&gt;
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类别: 熵和信息&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Mutual information]]. Its edit history can be viewed at [[互信息/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12896</id>
		<title>热力学第二定律</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12896"/>
		<updated>2020-08-18T04:36:21Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{short description|Law of physics}}&lt;br /&gt;
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{{Thermodynamics|laws}}&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 全文审校中，heat一般统一译为“热”，caloric 或者 caloric of heat 译为“热量”。这一点是否准确，有待各位同学和专家的批评指正&lt;br /&gt;
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The '''second law of thermodynamics''' states that the total [[entropy]] of an [[isolated system]] can never decrease over time, and is constant if and only if all processes are reversible.&amp;lt;ref&amp;gt;http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node38.html#SECTION05224000000000000000&amp;lt;/ref&amp;gt; Isolated systems spontaneously evolve towards [[thermodynamic equilibrium]], the state with maximum entropy. &lt;br /&gt;
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The second law of thermodynamics states that the total entropy of an isolated system can never decrease over time, and is constant if and only if all processes are reversible. Isolated systems spontaneously evolve towards thermodynamic equilibrium, the state with maximum entropy. &lt;br /&gt;
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&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第二定律 Second Law Of Thermodynamics'''&amp;lt;/font&amp;gt;指出，&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''孤立系统Isolated System'''&amp;lt;/font&amp;gt;的总熵永远不会随着时间而减少，且当且仅当所有过程都是可逆时，总熵才恒定。孤立系统自发地到达到热力学平衡状态，此时为熵最大的状态。&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in [[thermodynamic equilibrium]], or is undergoing a (fictive) [[Reversible process (thermodynamics)|reversible process]]. In all processes that occur, including [[spontaneous process]]es,&amp;lt;ref&amp;gt;Atkins and de Paula, p.78&amp;lt;/ref&amp;gt; the total entropy of the system and its surroundings increases and the process is [[Irreversible process|irreversible in the thermodynamic sense]]. The increase in entropy accounts for the irreversibility of natural processes, and the [[Arrow of time|asymmetry between future and past]].&amp;lt;ref&amp;gt;{{cite book|last=Zohuri|first=Bahman|title=Dimensional Analysis Beyond the Pi Theorem|url=https://books.google.com/books?id=pRVuDQAAQBAJ|year=2016|publisher=Springer|isbn=978-3-319-45726-0|page=[https://books.google.com.ph/books?id=pRVuDQAAQBAJ&amp;amp;pg=PA111&amp;amp;dq=%22increase+in+entropy+accounts+for+the+irreversibility+of+natural+processes+and+the+asymmetry+between+future+and+past.%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ved=0ahUKEwj6spb61tbaAhUFS7wKHfftDtIQ6AEIKDAA#v=onepage&amp;amp;q=%22increase%20in%20entropy%20accounts%20for%20the%20irreversibility%20of%20natural%20processes%20and%20the%20asymmetry%20between%20future%20and%20past.%22 111]}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in thermodynamic equilibrium, or is undergoing a (fictive) reversible process. In all processes that occur, including spontaneous processes, the total entropy of the system and its surroundings increases and the process is irreversible in the thermodynamic sense. The increase in entropy accounts for the irreversibility of natural processes, and the asymmetry between future and past.&lt;br /&gt;
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系统及其周围环境的总熵在理想情况下可以保持不变，在这种情况下，系统处于热力学平衡状态，或者正在经历一个假想的可逆过程。所有过程中，包括&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''自发过程 Spontaneous Processes'''&amp;lt;/font&amp;gt;，系统及其周围环境的总熵增加，这一过程在热力学意义上是不可逆的。熵的增加解释了自然过程的不可逆性，以及未来和过去之间的不对称性。&lt;br /&gt;
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Historically, the second law was an [[Empirical evidence|empirical finding]] that was accepted as an axiom of [[thermodynamics|thermodynamic theory]].  [[Statistical mechanics]], classical or [[quantum thermodynamics|quantum]], explains the microscopic origin of the law.&lt;br /&gt;
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Historically, the second law was an empirical finding that was accepted as an axiom of thermodynamic theory.  Statistical mechanics, classical or quantum, explains the microscopic origin of the law.&lt;br /&gt;
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从历史上看，第二定律是一个经验性的发现，它被认为是热力学理论中的公理。经典统计力学、量子统计力学都可以解释这个定律的微观起源。&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist [[Nicolas Léonard Sadi Carnot|Sadi Carnot]], who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as [[Carnot's theorem (thermodynamics)|Carnot's rule]] or limit.&amp;lt;ref&amp;gt;Jaffe, R.L., Taylor, W. (2018). ''The Physics of Energy'', Cambridge University Press, Cambridge UK, pages 150, 151, 259, 772, 743.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist Sadi Carnot, who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as Carnot's rule or limit.&lt;br /&gt;
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'''热力学第二定律'''可以使用多种方法表述。它的第一个公式归功于法国科学家'''卡诺Sadi Carnot'''&amp;lt;/font&amp;gt;，卡诺在1824年证明了在热机中将热转化为功的效率有一个上限。第二定律的这个方面也被称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺规则Carnot's Rule'''&amp;lt;/font&amp;gt;或&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺限制Carnot's Limit'''&amp;lt;/font&amp;gt;。&lt;br /&gt;
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'''热力学第二定律 Second Law of Thermodynamics'''也是热力学的四条基本定律之一，它表述了热力学过程的不可逆性——孤立系统自发地朝着热力学平衡方向（即最大熵状态）演化，另一种表述为：第二类永动机永不可能实现。&lt;br /&gt;
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--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）这里是不是少了一段原文？&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）The second law has been expressed in many ways. Its first formulation is credited to the French scientist Sadi Carnot, who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is often named after Carnot.[4] 这个是对应的原文 可能是百科进行了迭代&lt;br /&gt;
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==Introduction引言==&lt;br /&gt;
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[[File:Heat flow hot to cold.png|thumb|upright|Heat flow from hot water to cold water. 热总是从热水流向冷水]]&lt;br /&gt;
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The [[first law of thermodynamics]] provides the definition of the [[internal energy]] of a [[thermodynamic system]], and expresses the law of [[conservation of energy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 40–41.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Munster A. (1970), pp. 8–9, 50–51.&amp;lt;/ref&amp;gt; The second law is concerned with the direction of natural processes.&amp;lt;ref&amp;gt;{{harvnb|Mandl|1988}}&amp;lt;/ref&amp;gt; It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such [[Phenomenon|phenomena]] are accounted for in terms of [[entropy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 79–107.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994), Section 71, pp. 113–154.&amp;lt;/ref&amp;gt; If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, {{math|''S''}}, increases.&lt;br /&gt;
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The first law of thermodynamics provides the definition of the internal energy of a thermodynamic system, and expresses the law of conservation of energy. The second law is concerned with the direction of natural processes. It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such phenomena are accounted for in terms of entropy. If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&lt;br /&gt;
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'''热力学第一定律 First Law Of Thermodynamics'''定义了热力学系统所涉及到的'''内能 Internal Energy'''，并体现了能量守恒定律。热力学第二定律与'''自然过程Natural Processes'''的方向有关。它断言自然过程只在一种意义上进行，且不可逆 。例如，当有了传导和辐射的（传播）路径时，热总是自发地从一个较热的物体流向一个较冷的物体。这种现象可以用'''熵Entropy'''来解释。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;若一个'''孤立系统Isolated System'''最初在具有隔热内壁的系统内维持热力学平衡，通过一些操作使内壁透热，则该系统可自发地演变，最终达到一个新的内部热力学平衡，且其总熵{{math|''S''}}增加。If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy ({{math|d''S''}}) of a system is defined to result from an infinitesimal transfer of heat ({{math|δ''Q''}}) to a [[closed system]] (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature ({{math|''T''}}) of the system in equilibrium and the surroundings which supply the heat:&amp;lt;ref&amp;gt;Bailyn, M. (1994), p. 120.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy () of a system is defined to result from an infinitesimal transfer of heat () to a closed system (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature () of the system in equilibrium and the surroundings which supply the heat:&lt;br /&gt;
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在假想的可逆过程中，系统的熵的无穷小增量&amp;lt;math&amp;gt;dS&amp;lt;/math&amp;gt;被定义为由无穷小的热&amp;lt;math&amp;gt;δQ&amp;lt;/math&amp;gt;传递到一个封闭系统(允许能量进入或出去，但不允许物质传递的系统）除以该平衡系统和提供热的环境的共同温度 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat ({{mvar|δ}}) and infinitesimal amounts of entropy ({{mvar|d}}) because entropy is a [[function of state]], while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the [[Clausius Theorem|inequality]] &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt; Mortimer, R. G. ''Physical Chemistry''. 3rd ed., p. 120, Academic Press, 2008. &amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;FermiBook&amp;quot;&amp;gt; Fermi, E. ''Thermodynamics'', footnote on p. 48, Dover Publications,1956 (still in print). &amp;lt;/ref&amp;gt; &lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat () and infinitesimal amounts of entropy () because entropy is a function of state, while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the inequality  &lt;br /&gt;
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用不同的符号''δ''和''d''表示无穷小量的热和无穷小量的熵，因为熵是状态函数，而热和功一样，并不是状态函数。对于实际上可能存在的不与环境发生物质交换的无穷小过程，第二定律要求系统熵增量满足不等式：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature ({{math|''T''}}) and the temperature of the surroundings ({{math|''T''}}&amp;lt;sub&amp;gt;''surr''&amp;lt;/sub&amp;gt;).&lt;br /&gt;
&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Adkins, C.J. (1968/1983), p. 75.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt; &lt;br /&gt;
Note that the equality still applies for pure heat flow,&lt;br /&gt;
&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt; Schmidt-Rohr, K. (2014). &amp;quot;Expansion Work without the External Pressure, and Thermodynamics in Terms of Quasistatic Irreversible Processes&amp;quot; ''J. Chem. Educ.'' '''91''': 402-409.  https://dx.doi.org/10.1021/ed3008704 &amp;lt;/ref&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature () and the temperature of the surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;).Note that the equality still applies for pure heat flow。&lt;br /&gt;
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这是因为在这种情况下的一般过程可能包括周围环境对系统所做的功，该功在系统内部会产生摩擦或粘滞效应，此时一个化学反应可能正在系统内部进行，或因为热传递实际上是不可逆地发生，系统温度&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;和周围环境温度&amp;lt;math&amp;gt;T_surr&amp;lt;/math&amp;gt;之间的差异驱动了热传递的发生。注意该等式也适用于'''纯热流Pure Heat Flow'''&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(actually possible quasistatic irreversible process without composition change 实际上可能的,不改变成分的准静态不可逆性).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;&amp;gt;Oxtoby, D. W; Gillis, H.P., [[Laurie Butler|Butler, L. J.]] (2015).''Principles of Modern Chemistry'', Brooks Cole. p. 617.  {{ISBN|978-1305079113}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; Introducing a set of internal variables &amp;lt;math&amp;gt;\xi&amp;lt;/math&amp;gt; to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure ''P'' and temperature ''T'')&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.[16] [11] Introducing a set of internal variables {\displaystyle \xi }\xi  to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure P and temperature T)[15] from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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这种方法是通过测量'''热容曲线 Heat Capacity Curves'''和相变中熵的变化，来准确测定纯物质的绝对熵的基础，比如'''量热法calorimetry'''。&lt;br /&gt;
为了描述一个热力学系统在物理平衡状态下(要求有明确定义的等压P和等温T)偏离化学平衡状态，引入一组内部变量&amp;lt;math&amp;gt;x_i&amp;lt;/math&amp;gt;,可以用该等式&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} - \frac{1}{T} \sum_{j} \, \Xi_{j} \,\delta \xi_j \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(closed system, actually possible quasistatic irreversible process 封闭系统，实际可能的准静态不可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of ''the second principle of thermodynamics'' – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&amp;lt;ref&amp;gt; Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769–781.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of the second principle of thermodynamics – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&lt;br /&gt;
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第二项代表内部变量的功，这些内部变量可能受到外部影响的干扰，但是系统不能通过内部变量做任何正功。这种说法介绍了热力学系统在时间上演化不可能逆转的性质，并且可以被认为是热力学第二原理的另外一种相当于熵原理的表述。该公式可以被看作使用'''熵Entropy'''的热力学第二定律等价表述&lt;br /&gt;
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The [[zeroth law of thermodynamics]] in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body.&amp;lt;ref name=dugdale&amp;gt;{{cite book|author=J. S. Dugdale|title=Entropy and its Physical Meaning|publisher=Taylor &amp;amp; Francis|year=1996|isbn=978-0-7484-0569-5|page=13|quote=This law is the basis of temperature.}}&amp;lt;/ref&amp;gt; For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows{{how?|date=August 2018}} a distinguished temperature scale, which defines an absolute, [[thermodynamic temperature]], independent of the properties of any particular reference thermometric body.&amp;lt;ref&amp;gt;[[Mark Zemansky|Zemansky, M.W.]] (1968), pp. 207–209.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Quinn, T.J. (1983), p. 8.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The zeroth law of thermodynamics in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body. For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows a distinguished temperature scale, which defines an absolute, thermodynamic temperature, independent of the properties of any particular reference thermometric body.&lt;br /&gt;
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热力学第零定律是指如果两个热力学系统都与第三个热力学系统处于热平衡(温度相同)状态，则它们彼此也必定处于热平衡状态。热力学第零定律在它这个简短叙述中让人们认识到热平衡关系中的两个物体具有相同的温度，特别是当一个被测物体与一个参考测温物体具有相同的温度时，对于两个处于热平衡状态的物体，有无限多的'''&amp;lt;font color = '#ff8000'&amp;gt;经验温标empirical temperature scales&amp;lt;/font&amp;gt;'''，这通常取决于特定参考温度体的性质。热力学第二定律允许区分'''&amp;lt;font color = '#ff8000'&amp;gt;温度标度temperature scale&amp;lt;/font&amp;gt;'''，它定义了一个绝对的热力学温度，与任何特定的参考温度体的性质无关。&lt;br /&gt;
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==Various statements of the law热力学第二定律的不同表述==&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways,&amp;lt;ref name=MIT&amp;gt;{{cite web|title=Concept and Statements of the Second Law|url=http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node37.html|accessdate=2010-10-07 |publisher=web.mit.edu}}&amp;lt;/ref&amp;gt; the most prominent classical statements{{sfnp|Lieb|Yngvason|1999}} being the statement by [[Rudolf Clausius]] (1854), the statement by [[William Thomson, 1st Baron Kelvin|Lord Kelvin]] (1851), and the statement in axiomatic thermodynamics by [[Constantin Carathéodory]] (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.{{sfnp|Rao|2004|p=213}}&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways, the most prominent classical statements being the statement by Rudolf Clausius (1854), the statement by Lord Kelvin (1851), and the statement in axiomatic thermodynamics by Constantin Carathéodory (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.&lt;br /&gt;
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热力学第二定律可以用许多特定的方式来表达，最突出的经典陈述是 '''克劳修斯 Rudolf Clausius''' (1854)表述，'''开尔文 克劳修斯 Kelvin Clausius''' (1851)表述，以及康斯坦丁·卡拉西奥多里 Constantin Carathéodory(1909)在'''&amp;lt;font color = '#ff8000'&amp;gt;公理化热力学axiomatic thermodynamics&amp;lt;/font&amp;gt;'''中的表述。这些表述用一般的物理术语来描述定律，引用某些过程的不可能性。克劳修斯和开尔文表述被证明是等价的。&lt;br /&gt;
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===Carnot's principle卡诺原理===&lt;br /&gt;
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The historical origin&amp;lt;ref&amp;gt;[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986).&amp;lt;/ref&amp;gt; of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a [[Carnot heat engine]], fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the [[caloric theory]] of heat was seriously considered, before the recognition of the [[first law of thermodynamics]], and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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The historical origin of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a Carnot heat engine, fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the caloric theory of heat was seriously considered, before the recognition of the first law of thermodynamics, and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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热力学第二定律的历史起源是'''卡诺原理Carnot's principle'''。&lt;br /&gt;
它指的是'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机Carnot heat engine&amp;lt;/font&amp;gt;'''的一个循环，卡诺热机以'''&amp;lt;font color = '#ff8000'&amp;gt;准静态quasi-static&amp;lt;/font&amp;gt;'''的极限慢速运转，因此热和功在子系统之间进行传递，子系统总是处于它们自己内部的热力学平衡状态。&lt;br /&gt;
卡诺热机是研究热机效率的工程师特别感兴趣的理想装置。&lt;br /&gt;
当卡诺发现卡诺原理时，'''&amp;lt;font color = '#ff8000'&amp;gt;热量理论caloric theory of heat&amp;lt;/font&amp;gt;'''还没有得到重视，热力学第一定律还没有得到承认，熵的概念还没有数学表达。&lt;br /&gt;
根据第一定律的解释，它在物理上等同于热力学第二定律，并沿用至今。&lt;br /&gt;
在热力学第一定律被发现之前，卡诺最初的论点是从热量理论的观点出发的。&lt;br /&gt;
下面是他书中的一些例子：&lt;br /&gt;
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::...''wherever there exists a difference of temperature, motive power can be produced.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 51.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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...wherever there exists a difference of temperature, motive power can be produced.&lt;br /&gt;
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……只要有温差，就能产生动力。&lt;br /&gt;
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::The production of motive power is then due in steam engines not to an actual consumption of caloric, but ''to its transportation from a warm body to a cold body ...''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 46.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The production of motive power is then due in steam engines not to an actual consumption of caloric, but to its transportation from a warm body to a cold body ...&lt;br /&gt;
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动力的产生不是由于蒸汽机实际消耗的热量，而是由于它从一个较热的物体转移到一个较冷的物体……。&lt;br /&gt;
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::''The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 68.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.&lt;br /&gt;
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热的原动力与实现热的媒介无关，热的量完全取决于两个物体之间的温度，最后是热量的传递。&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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用现代术语，卡诺原理可能更为准确:&lt;br /&gt;
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::The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]] (1980), Chapter 5.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983), pp. 56–58.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Münster, A. (1970), p. 11.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998), pp.67–75.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008), p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Eu, B.C. (2002), pp. 32–35.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&lt;br /&gt;
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准静态卡诺循环或可逆卡诺循环的效率只取决于两种热源的温度，而且无论工作物质是什么，效率是相同的。使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。 A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;/font&amp;gt;''' &lt;br /&gt;
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===Clausius statement克劳修斯表述===&lt;br /&gt;
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The German scientist [[Rudolf Clausius]] laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work.{{sfnp|Clausius|1850}} His formulation of the second law, which was published in German in 1854, is known as the ''Clausius statement'':&lt;br /&gt;
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The German scientist Rudolf Clausius laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work. His formulation of the second law, which was published in German in 1854, is known as the Clausius statement:&lt;br /&gt;
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1850年，德国科学家'''鲁道夫·克劳修斯 Rudolf Clausius''' 通过研究热传递和功之间的关系，为热力学第二定律奠定了基础。他在1854年用德语发表的论文中所提及的热力学第二定律定义被称为克劳修斯表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.{{sfnp|Clausius|1854|p=86}}&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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不可能把热从低温物体传递到高温物体而不产生其他影响。 &lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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克劳修斯的表述使用了“'''&amp;lt;font color = '#ff8000'&amp;gt;热通道Passage Of Heat&amp;lt;/font&amp;gt;'''”的概念。&lt;br /&gt;
在热力学的讨论中，通常这意味着“能量作为热的形式的净转移” ，而不是指其他方式的转移。&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of [[refrigeration]], for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of refrigeration, for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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如果不对系统外部做功，热就不能自发地从冷区流向热区，这一点从制冷的普通经验中也可以看出。在冰箱中，只有在外部媒介也就是制冷系统的强制作用下热才会从冷区流到热区。&lt;br /&gt;
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===Kelvin statements开尔文表述===&lt;br /&gt;
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[[William Thomson, 1st Baron Kelvin|Lord Kelvin]] expressed the second law in several wordings.&lt;br /&gt;
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Lord Kelvin expressed the second law in several wordings.&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文勋爵 Lord Kelvin&amp;lt;/font&amp;gt;''' 表述了热力学第二定律。&lt;br /&gt;
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::It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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不可能从单一热源取热使之完全转换为有用的功而不产生其他影响。&lt;br /&gt;
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::It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.{{sfnp|Thomson|1851}}&lt;br /&gt;
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It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.&lt;br /&gt;
不可能通过无生命物质的作用，将物质的任何部分冷却到低于周围物体最低的温度并产生'''&amp;lt;font color = '#ff8000'&amp;gt;机械效应 Mechanical Effect&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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===Equivalence of the Clausius and the Kelvin statements克劳修斯和开尔文表述的等价性===&lt;br /&gt;
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[[Image:Deriving Kelvin Statement from Clausius Statement.svg|thumb|Derive Kelvin Statement from Clausius Statement从克劳修斯表述推导出开尔文表述]]&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed [[Carnot engine]] as shown by the figure. The [[Heat engine#Efficiency|efficiency]] of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; from the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the [[first law of thermodynamics]], as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed Carnot engine as shown by the figure. The efficiency of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat from &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the first law of thermodynamics, as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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假设有一个热机违反了开尔文定理: 也就是说，这个热机以循环的方式吸收热并将其完全转化为功，而且不产生任何影响。现在将其与反向卡诺机相比较，如图所示。&lt;br /&gt;
普通热机的效率为η，反向热机的效率为1/η。这对联合热机的净效应和唯一效应是&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; 将热从较冷热源转移到较热热源，这违反了克劳修斯表述。（这是能量守恒定律的结果，因为系统的总能量保持不变&amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;，所以&amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt;。）因此，违反开尔文表述意味着违反克劳修斯表述，即克劳修斯表述暗示了开尔文表述。我们可以用类似的方式证明开尔文表述暗示了克劳修斯表述，因此两者是等价的。&lt;br /&gt;
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===Planck's proposition普朗克命题===&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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普朗克提出了直接来自经验的如下命题。这有时被认为是他对热力学第二定律的表述，但他认为这是热力学第二定律推导的起点。&lt;br /&gt;
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::It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 86.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 319.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&lt;br /&gt;
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不可能建造一台发动机，使其在一个完整的循环中工作，并且除了提高重量和冷却热储以外不会产生任何效果。&lt;br /&gt;
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===Relation between Kelvin's statement and Planck's proposition 开尔文表述与普朗克命题的关系===&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;[[Kelvin-Planck statement]]&amp;quot; of the law, as for example in the text by [[Dirk ter Haar|ter Haar]] and [[Harald Wergeland|Wergeland]].&amp;lt;ref&amp;gt;[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966), p. 17.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;Kelvin-Planck statement&amp;quot; of the law, as for example in the text by ter Haar and Wergeland.&lt;br /&gt;
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教科书中几乎总是用“'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文-普朗克表述 Kelvin-Planck Statement&amp;lt;/font&amp;gt;'''”来称呼该定律，例如'''&amp;lt;font color = '#ff8000'&amp;gt;德克·特哈尔 Diek ter Haar&amp;lt;/font&amp;gt;''' 和'''&amp;lt;font color = '#ff8000'&amp;gt;哈拉尔德·沃格兰 Harald Wergeland&amp;lt;/font&amp;gt;''' 就是这样表述的。&lt;br /&gt;
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The '''Kelvin–Planck statement''' (or the ''heat engine statement'') of the second law of thermodynamics states that &lt;br /&gt;
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The Kelvin–Planck statement (or the heat engine statement) of the second law of thermodynamics states that &lt;br /&gt;
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热力学第二定律的开尔文-普朗克表述（或称“'''&amp;lt;font color = '#ff8000'&amp;gt;热机表述 Heat Engine Statement&amp;lt;/font&amp;gt;'''”）指出&lt;br /&gt;
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::It is impossible to devise a [[thermodynamic cycle|cyclically]] operating device, the sole effect of which is to absorb energy in the form of heat from a single [[heat reservoir|thermal reservoir]] and to deliver an equivalent amount of [[Work (physics)|work]].&amp;lt;ref name=&amp;quot;Rao&amp;quot;&amp;gt;{{cite book|last=Rao|first=Y. V. C.|title=Chemical Engineering Thermodynamics|publisher=Universities Press|isbn=978-81-7371-048-3|page=158|year=1997}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to devise a cyclically operating device, the sole effect of which is to absorb energy in the form of heat from a single thermal reservoir and to deliver an equivalent amount of work.&lt;br /&gt;
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设计一种唯一效果是从单一热源吸收热并提供等量的功的循环运行装置是不可能的。&lt;br /&gt;
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===Planck's statement 普朗克表述===&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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普朗克表述第二定律如下。&lt;br /&gt;
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::Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&amp;lt;ref name=&amp;quot;Planck 100&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 100.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Planck 463&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 463, translation by Uffink, J. (2003), p. 131.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roberts &amp;amp; Miller 382&amp;quot;&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 382. This source is partly verbatim from Planck's statement, but does not cite Planck. This source calls the statement the principle of the increase of entropy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&lt;br /&gt;
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自然界中发生的任一过程都是沿参与其中的所有物体的熵之和增加的方向进行的。在极限情况中，即对于可逆过程，熵的总和保持不变。&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for ''irreversible phenomena''.&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for irreversible phenomena.&lt;br /&gt;
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与普朗克表述非常相似的是'''&amp;lt;font color = '#ff8000'&amp;gt;乌伦贝克 Uhlenbeck&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;福特 Ford&amp;lt;/font&amp;gt;'''关于不可逆现象的表述。&lt;br /&gt;
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::... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&amp;lt;ref&amp;gt;[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963), p. 16.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&lt;br /&gt;
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……在从一个平衡态到另一个平衡态的不可逆或自发的变化中（例如，当两个物体 A 和 B 接触时的温度平衡过程），熵总是增加。&lt;br /&gt;
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===Principle of Carathéodory 卡拉西奥多里原理===&lt;br /&gt;
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&amp;lt;!-- [[Caratheodory's principle]] redirects here --&amp;gt;&lt;br /&gt;
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&amp;lt;!-- Caratheodory's principle redirects here --&amp;gt;&lt;br /&gt;
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—— caratheodory 的原理在这里重新定向——&lt;br /&gt;
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[[Constantin Carathéodory]] formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&amp;lt;ref&amp;gt;[[Constantin Carathéodory|Carathéodory, C.]] (1909).&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Constantin Carathéodory formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;康斯坦丁·卡拉西奥多里 Constantin Carathéodory&amp;lt;/font&amp;gt;'''在纯数学公理的基础上进行了热力学'''&amp;lt;font color = '#ff8000'&amp;gt;公理化formulated&amp;lt;/font&amp;gt;'''阐明。他对第二定律的陈述被称为'''&amp;lt;font color = '#ff8000'&amp;gt;卡拉西奥多里原理 Principle of Carathéodory&amp;lt;/font&amp;gt;'''，可以这样表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 68.&amp;lt;/ref&amp;gt;&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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在绝热封闭系统的任意状态 S 附近，总有从 S 出发不可达的状态。&lt;br /&gt;
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With this formulation, he described the concept of [[adiabatic accessibility]] for the first time and provided the foundation for a new subfield of classical thermodynamics, often called [[Ruppeiner geometry|geometrical thermodynamics]]. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic [[process function]], in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;Sychev1991&amp;quot;&amp;gt;{{cite book |last=Sychev |first=V. V. |title=The Differential Equations of Thermodynamics |year=1991 |publisher=Taylor &amp;amp; Francis |isbn=978-1-56032-121-7}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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With this formulation, he described the concept of adiabatic accessibility for the first time and provided the foundation for a new subfield of classical thermodynamics, often called geometrical thermodynamics. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic process function, in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;. &lt;br /&gt;
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通过这个阐明，他首次描述了'''&amp;lt;font color = '#ff8000'&amp;gt;绝热可达性 Adiabatic Accessibility&amp;lt;/font&amp;gt;'''的概念，并为经典热力学的一个新的子领域，即通常所说的'''&amp;lt;font color = '#ff8000'&amp;gt;几何热力学  Geometrical Thermodynamics&amp;lt;/font&amp;gt;'''&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;奠定了基础&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;。由卡拉西奥多里原理可以推出，作为热的能量的准静态转移是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数holonomic process function&amp;lt;/font&amp;gt;'''即&amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）准静态转移的热量值是一个可积过程函数 存疑&lt;br /&gt;
 --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）本句的修改供讨论。可积函数的英文应该是Integrable function。但是什么是完整的函数存疑，是连续的函数？&lt;br /&gt;
 --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）这里建议标注一下'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数 holonomic process function&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）奠定了基础为何要删????????????????????????????????????????&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;&amp;gt;Münster, A. (1970), p. 45.&amp;lt;/ref&amp;gt;{{sfnp|Lieb|Yngvason|1999|p=49}}&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 69.&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium. &lt;br /&gt;
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尽管在教科书几乎惯称卡拉西奥多里原理也是第二定律的一种表述，并认为其与克劳修斯表述或开尔文-普朗克表述等价，但事实并非如此。为了得到第二定律的所有内容，需要对卡拉西奥多里原理补充普朗克表述，即等量功总是增加一个最初处于自身内部热力学平衡的封闭系统的内部能量。&lt;br /&gt;
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===Planck's principle 普朗克原理===&lt;br /&gt;
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In 1926, [[Max Planck]] wrote an important paper on the basics of thermodynamics.&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Uffink, J. (2003), pp. 129–132.&amp;lt;/ref&amp;gt; He indicated the principle&lt;br /&gt;
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In 1926, Max Planck wrote an important paper on the basics of thermodynamics. He indicated the principle&lt;br /&gt;
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1926年，'''&amp;lt;font color = '#ff8000'&amp;gt;马克斯·普朗克 Max Planck&amp;lt;/font&amp;gt;'''写了一篇关于热力学基础的重要论文。他指出了以下原理&lt;br /&gt;
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::The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt;{{sfnp |Lieb|Yngvason|1999|p=49}}&lt;br /&gt;
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The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&lt;br /&gt;
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一个封闭系统的内部能量因绝热过程增加，在整个过程中，系统的体积保持不变。&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot;&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]], Muncaster, R.G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 15.&amp;lt;/ref&amp;gt; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 81.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 457, Wikipedia editor's translation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&lt;br /&gt;
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这个公式没有提到热，没有提到温度，甚至没有提到熵，也不一定隐含地依赖于这些概念，但它暗示了第二定律的内容。一个密切相关的表述为，“摩擦力从来不做正功。”普朗克写道: “摩擦生热是不可逆的。”&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 149.&amp;lt;/ref&amp;gt; It is relevant that for a system at constant volume and [[Mole (unit)|mole numbers]], the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above. It is relevant that for a system at constant volume and mole numbers, the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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这个普朗克定理没有提到熵，是用物理术语来表述的。它与上面给出的开尔文表述密切相关。相关的是，对于恒定体积和摩尔数的系统，熵是内能的单调函数。然而，普朗克的这个原理实际上并不是普朗克对第二定律的首选表述（见前面小节），而是依赖于熵的概念。&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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Borgnakke 和 Sonntag 提出的以下表述在某种意义上是对普朗克原理的补充。他们没有将其作为第二定律的完整表述:&lt;br /&gt;
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::... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&amp;lt;ref&amp;gt;Borgnakke, C., Sonntag., R.E. (2009), p. 304.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&lt;br /&gt;
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……只有一种方法可以减少（封闭）系统的熵，将热从系统中转移出去。&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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与普朗克之前提出的原理不同，这一原理明确地用熵的变化来表示。从系统中去除物质也可以减少系统的熵。&lt;br /&gt;
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===Statement for a system that has a known expression of its internal energy as a function of its extensive state variables 一个其内能有已知表达式（其扩展状态变量的函数）的系统的表述===&lt;br /&gt;
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The second law has been shown to be equivalent to the [[internal energy]] ''U'' being a weakly [[convex function]], when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;ref&amp;gt;{{cite book |last1=van Gool |first1=W. |last2=Bruggink |first2=J.J.C. (Eds) |url= |title=Energy and time in the economic and physical sciences |publisher=North-Holland |year=1985 |pages=41–56 |quote= |isbn=978-0-444-87748-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Grubbström | first1 = Robert W. | doi = 10.1016/j.apenergy.2007.01.003 | title = An Attempt to Introduce Dynamics Into Generalised Exergy Considerations| journal = Applied Energy| volume = 84| issue = 7–8 | pages = 701–718 | year = 2007}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...). &lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;写成广泛性质（质量，体积，熵……）的函数时，第二定律被证明等价于弱凸函数内能 U。The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Corollaries 推论==&lt;br /&gt;
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===Perpetual motion of the second kind 第二类永动机===&lt;br /&gt;
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{{main article|Perpetual motion}}&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of [[first law of thermodynamics]] by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of first law of thermodynamics by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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在第二定律建立之前，许多志在发明永动机的人试图通过提取环境的巨大内能作为机器动力，以突破'''热力学第一定律 First Law of Thermodynamics''' 的限制。这种机器被称为“'''第二类永动机 Perpetual Motion Machine of the Second Kind'''”。热力学第二定律表明这种机器是不可能的。&lt;br /&gt;
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===Carnot theorem 卡诺定理===&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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Carnot's theorem (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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'''卡诺定理 Carnot's Theorem'''（1824）是一条限制任何可能的热机的最大效率的原理。效率完全取决于热源中热和冷之间的温差。 卡诺定理指出:&lt;br /&gt;
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*All irreversible heat engines between two heat reservoirs are less efficient than a [[Carnot engine]] operating between the same reservoirs.&lt;br /&gt;
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*All reversible heat engines between two heat reservoirs are equally efficient with a Carnot engine operating between the same reservoirs.&lt;br /&gt;
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* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;不可逆热机的效率低于在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机 Carnot Engine&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;可逆热机的效率与在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的卡诺机相等。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）改成同一个正确吗??????????????????????????&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as [[thermodynamic reversibility]]. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the [[Carnot cycle]]'s reversibility and was condemned to be less efficient.&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as thermodynamic reversibility. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the Carnot cycle's reversibility and was condemned to be less efficient.&lt;br /&gt;
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在他的理想模型中，热转化为功的过程可以通过逆转循环的运动而恢复，这个概念后来被称为'''&amp;lt;font color = '#ff8000'&amp;gt;热力学可逆性 Thermodynamic Reversibility&amp;lt;/font&amp;gt;'''。然而，卡诺进一步假定，一些热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;损失了，并没有转化为机械功。因此，没有一个真实的热机能够实现'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺循环 Carnot Cycle&amp;lt;/font&amp;gt;'''的可逆性，并且被认为效率较低。&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete [[caloric theory]]), rather than [[entropy]], this was an early insight into the second law.&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete caloric theory), rather than entropy, this was an early insight into the second law.&lt;br /&gt;
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该理论尽管是用热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;表述的（见被取代的'''&amp;lt;font color = '#ff8000'&amp;gt;热质说&amp;lt;/font&amp;gt;'''），而不是熵，但是它是对第二定律的早期认识。&lt;br /&gt;
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===Clausius inequality 克劳修斯不等式===&lt;br /&gt;
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The [[Clausius theorem]] (1854) states that in a cyclic process&lt;br /&gt;
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The Clausius theorem (1854) states that in a cyclic process&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;克劳修斯定理 Clausius Theorem&amp;lt;/font&amp;gt;'''（1854）指出，在一个循环的过程中&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T} \leq 0.&amp;lt;/math&amp;gt;&lt;br /&gt;
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The equality holds in the reversible case&amp;lt;ref&amp;gt;[http://scienceworld.wolfram.com/physics/ClausiusTheorem.html ''Clausius theorem''] at [[Wolfram Research]]&amp;lt;/ref&amp;gt; and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function [[entropy]]. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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The equality holds in the reversible case and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function entropy. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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等号在可逆情况下成立，严格不等号在不可逆情况下成立。可逆情况下引入状态函数熵。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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  --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）末句存疑&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我也没看懂，按照字面意思修改了一下&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）感觉修改后的句子还是怪怪的，这里标成疑难句吧 '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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===Thermodynamic temperature 热力学温度===&lt;br /&gt;
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{{main article|Thermodynamic temperature}}&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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对于任意热机，效率为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\eta = \frac {W_n}{q_H} = \frac{q_H-q_C}{q_H} = 1 - \frac{q_C}{q_H} \qquad (1)&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; is for the net work done per cycle. Thus the efficiency depends only on q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;.&lt;br /&gt;
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其中 ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; 表示每个循环所做的净功。因此效率只取决于 q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;。&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
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Carnot's theorem states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
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卡诺定理指出，所有在相同热源间运行的可逆热机的效率是相同的。&lt;br /&gt;
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Thus, any reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
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Thus, any reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
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因此，任何在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;和''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间运行的可逆热机必须具有相同的效率，也就是说，效率只是温度的函数:&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{q_C}{q_H} = f(T_H,T_C)\qquad (2).&amp;lt;/math&amp;gt;&lt;br /&gt;
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In addition, a reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
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In addition, a reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; andT&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
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另外，在温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间工作的可逆热机必须具有与由分别在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和（中间）温度 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间、在 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间的两个循环组成的系统效率相同。只有下式成立才会出现这种情况:&lt;br /&gt;
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: &amp;lt;math&amp;gt;f(T_1,T_3) = \frac{q_3}{q_1} = \frac{q_2 q_3} {q_1 q_2} = f(T_1,T_2)f(T_2,T_3).&amp;lt;/math&amp;gt;&lt;br /&gt;
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Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the [[triple point]] of water. Then for any ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the triple point of water. Then for any T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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现在考虑如下情形，&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; 是一个固定的参考温度: 水的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''&amp;lt;font color = '#ff8000'&amp;gt;三相点 Triple Point&amp;lt;/font&amp;gt;'''&amp;lt;/font&amp;gt;的温度。则对于任意 T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{f(T_1,T_3)}{f(T_1,T_2)} = \frac{273.16 \cdot f(T_1,T_3)}{273.16 \cdot f(T_1,T_2)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
因此，如果热力学温度被定义为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;T = 273.16 \cdot f(T_1,T) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
then the function ''f'', viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
then the function f, viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
那么函数 ''f'' 作为热力学温度的函数，为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{T_3}{T_2},&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
and the reference temperature ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used{{snd}}the choice here corresponds to the [[Kelvin]] scale.)&lt;br /&gt;
&lt;br /&gt;
and the reference temperature T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used the choice here corresponds to the Kelvin scale.)&lt;br /&gt;
&lt;br /&gt;
参考温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 的值为273.16。（任何参考温度和任何正值均可用——此处的选择对应开尔文标度。）&lt;br /&gt;
&lt;br /&gt;
===Entropy 熵===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{main article|Entropy (classical thermodynamics)}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the [[Clausius theorem|Clausius equality]], for a reversible process&lt;br /&gt;
&lt;br /&gt;
According to the Clausius equality, for a reversible process&lt;br /&gt;
&lt;br /&gt;
根据克劳修斯等式，对可逆过程有&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
这意味着线积分 &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; 对于可逆过程是路径无关的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot; /&amp;gt; satisfies&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer satisfies&lt;br /&gt;
&lt;br /&gt;
所以我们可以定义一个叫做熵的状态函数 S，对于可逆过程或者纯热传递满足&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \frac{\delta Q}{T} \!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the [[third law of thermodynamics]], which states that ''S'' = 0 at [[absolute zero]] for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the third law of thermodynamics, which states that S = 0 at absolute zero for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
据此，只有对上述公式进行积分，才能得到熵的差值。为了获得绝对值，我们需要&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第三定律 Third Law of Thermodynamics'''&amp;lt;/font&amp;gt;，它指出&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝对零度 Absolute Zero'''&amp;lt;/font&amp;gt;下完美晶体的 ''S'' = 0。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
对于任意不可逆过程，由于熵是一个状态函数，我们总是可以将初始状态和最终状态与一个虚拟的可逆过程联系起来，并在这条路径上积分以计算熵的差值。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the [[Clausius inequality]] on this loop,&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the Clausius inequality on this loop,&lt;br /&gt;
&lt;br /&gt;
现在把可逆过程逆过来，将其与上述不可逆过程结合。把克劳修斯不等式应用到这个循环,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;-\Delta S+\int\frac{\delta Q}{T}=\oint\frac{\delta Q}{T}&amp;lt; 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
故,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta S \ge \int \frac{\delta Q}{T} \,\!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
如果变换可逆，等号成立。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an [[adiabatic process]], then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an adiabatic process, then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
注意，若该过程是一个&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝热过程 Adiabatic Process'''&amp;lt;/font&amp;gt;，则&amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;，故&amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work 能量，可用的有用工作===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{See also|Exergy}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an ''unlimited'' heat reservoir at temperature ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' and pressure ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' {{snd}}so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an unlimited heat reservoir at temperature T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; and pressure P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
考虑将第二定律应用于孤立系统(称为整体系统或宇宙)是一个重要而具有启发性的理想情形。该系统由两部分组成：研究关心的子系统和子系统的周围环境。因为想象的环境非常大，以至于它们可以被视为一个温度为 T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 且压力为 P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 的无限热源，因此无论有多少热被转移到（或来自）子系统，周围的温度将保持T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;；无论子系统的体积膨胀（或收缩）有多大，周围环境的压力都将保持不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Whatever changes to ''dS'' and ''dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy ''S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;'' of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
Whatever changes to dS and dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt; of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
无论子系统和周围环境单独地发生什么熵的变化 ''dS''和dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;&amp;lt;/font&amp;gt;，根据第二定律，孤立总体系统的熵S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;不能减小。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the [[first law of thermodynamics]], the change ''dU'' in the internal energy of the sub-system is the sum of the heat ''δq'' added to the sub-system, ''less'' any work ''δw'' done ''by'' the sub-system, ''plus'' any net chemical energy entering the sub-system ''d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;'', so that:&lt;br /&gt;
&lt;br /&gt;
According to the first law of thermodynamics, the change dU in the internal energy of the sub-system is the sum of the heat δq added to the sub-system, less any work δw done by the sub-system, plus any net chemical energy entering the sub-system d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, so that:&lt;br /&gt;
&lt;br /&gt;
根据热力学第一定律，子系统内能的变化 dU 是加在子系统上的热δq的和&amp;lt;font color = 'blue'&amp;gt;&amp;lt;/font&amp;gt;，减去子系统所做的任何功w，再加上进入子系统的任何净化学能 d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;，因此&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the [[chemical potential]]s of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the chemical potentials of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
其中μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;是外部环境中'''&amp;lt;font color = '#ff8000'&amp;gt;化学形态 chemical species&amp;lt;/font&amp;gt;'''的化学势。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
现在热量离开热源进入子系统是&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学△ qtr (- dS r) le tr dS / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
在这个过程中，首先使用了经典热力学中熵的定义(在统计热力学中，熵变、温度和吸收热量之间的关系'''&amp;lt;font color = '#32CD32'&amp;gt;可以将其推导出来 can be derived&amp;lt;/font&amp;gt;''') ，然后从上面的公式可以推导出第二定律的不等式。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work ''δw'' done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work δw done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
因此，子系统所做的任何净功δw必须服从&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学增量 w  le-dU + tds + sum  mu { iR } dN i，/ math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work ''δw'' done by the subsystem into the ''useful'' work ''δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt;'' that can be done ''by'' the sub-system, over and beyond the work ''p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV'' done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work δw done by the subsystem into the useful work δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; that can be done by the sub-system, over and beyond the work p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
将子系统所做的功δw划分为子系统可以完成的有用功δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; ，除了子系统在周围外部压力下膨胀所做的功p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV外，给出以下可用功（'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''）关系式:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the ''availability'' or ''[[exergy]]'' ''E'' of the subsystem,&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the availability or exergy E of the subsystem,&lt;br /&gt;
&lt;br /&gt;
为方便起见，可以把右边定义为热力学势的精确导数，称为子系统的'''&amp;lt;font color = 'ff8000'&amp;gt;可用性 Availability &amp;lt;/font&amp;gt;'''或'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
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The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
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The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
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&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;因此，第二定律意味着，对于任何可以简单地被视为分为一个子系统和一个与之接触的无限温度和压力'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;热源 Reservoir&amp;lt;/font&amp;gt;''' 的过程，The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&amp;lt;/font&amp;gt;&lt;br /&gt;
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: &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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i.e. the change in the subsystem's exergy plus the useful work done ''by'' the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done ''on'' the system) must be less than or equal to zero.&lt;br /&gt;
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i.e. the change in the subsystem's exergy plus the useful work done by the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done on the system) must be less than or equal to zero.&lt;br /&gt;
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也就是。子系统有用能的变化加上子系统所做的有用功(或者，子系统有用能的变化减去除了'''&amp;lt;font color = '#ff8000'&amp;gt;压力热源&amp;lt;/font&amp;gt;'''外任何对系统做的功&amp;lt;/font&amp;gt;)必须小于或等于零。&lt;br /&gt;
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In sum, if a proper ''infinite-reservoir-like'' reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in ''E'' for an irreversible process and no change for a reversible process.&lt;br /&gt;
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In sum, if a proper infinite-reservoir-like reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in E for an irreversible process and no change for a reversible process.&lt;br /&gt;
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总之，如果选择一个合适的类似于无限库的参考状态作为现实世界中的系统环境，&lt;br /&gt;
则第二定律预测不可逆过程的''E''值减少，可逆过程的''E''值不变。&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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This expression together with the associated reference state permits a [[design engineer]] working at the macroscopic scale (above the [[thermodynamic limit]]) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (''Also, see [[process engineer]]''). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (''See [[Exergy efficiency|second law efficiency]]''.)&lt;br /&gt;
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This expression together with the associated reference state permits a design engineer working at the macroscopic scale (above the thermodynamic limit) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (Also, see process engineer). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (See second law efficiency.)&lt;br /&gt;
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这个表达式和相关的参考状态允许设计工程师在宏观尺度（高于热力学极限）下使用第二定律，而无需直接测量或考虑整个孤立系统中的熵变。（另见'''&amp;lt;font color = '#ff8000'&amp;gt;工艺工程师process engineer&amp;lt;/font&amp;gt;'''）。这些变化已经在假设中被考虑到，该假设认为所考虑的系统可以在不改变参考状态的情况下与参考状态达到平衡。将其与可逆理想&amp;lt;font color = 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;进行比较，还可以找到一个过程或过程集合的效率（见'''&amp;lt;font color = '#ff8000'&amp;gt;第二定律效率second law efficiency&amp;lt;/font&amp;gt;'''）&lt;br /&gt;
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This approach to the Second Law is widely utilized in [[engineering]] practice, [[environmental accounting]], [[systems ecology]], and other disciplines.&lt;br /&gt;
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This approach to the Second Law is widely utilized in engineering practice, environmental accounting, systems ecology, and other disciplines.&lt;br /&gt;
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第二定律的这种方法被广泛应用于'''&amp;lt;font color = '#ff8000'&amp;gt;工程实践engineering practice&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;环境会计environmental accounting&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;系统生态学systems ecology&amp;lt;/font&amp;gt;'''等其他学科。&lt;br /&gt;
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===The second law in chemical thermodynamics 化学热力学的第二定律===&lt;br /&gt;
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For a [[spontaneous process|spontaneous chemical process]] in a closed system at constant temperature and pressure without non-''PV'' work, the Clausius inequality Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;'' transforms into a condition for the change in [[Gibbs free energy]] &lt;br /&gt;
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For a spontaneous chemical process in a closed system at constant temperature and pressure without non-PV work, the Clausius inequality ΔS &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt; transforms into a condition for the change in Gibbs free energy &lt;br /&gt;
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对于一个恒温恒压封闭系统中的自发化学过程，在没有 non-PV 功的情况下，克劳修斯不等式Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;''由于'''&amp;lt;font color = '#ff8000'&amp;gt;吉布斯自由能Gibbs free energy&amp;lt;/font&amp;gt;'''的变化而转化为：&amp;lt;/font&amp;gt;&lt;br /&gt;
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: &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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or d''G'' &amp;lt; 0. For a similar process at constant temperature and volume, the change in [[Helmholtz free energy]] must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;/&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; The chemical equilibrium condition at constant ''T'' and ''p'' without electrical work is d''G'' = 0.&lt;br /&gt;
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or dG &amp;lt; 0. For a similar process at constant temperature and volume, the change in Helmholtz free energy must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products. The chemical equilibrium condition at constant T and p without electrical work is dG = 0.&lt;br /&gt;
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或者 dG &amp;lt; 0。对于一个相似的恒温恒压过程，'''&amp;lt;font color = '#ff8000'&amp;gt;亥姆霍兹自由能 Helmholtz free energy &amp;lt;/font&amp;gt;'''的变化一定是负的， &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;。因此，一个负的自由能(G 或 A)变化是过程自发的必要条件。这是热力学第二定律在化学中最有用的形式，其中自由能的变化可以通过'''&amp;lt;font color = '#ff8000'&amp;gt;表列生成焓 Tabulated Enthalpies of Formation&amp;lt;/font&amp;gt;'''和反应物及产物的标准摩尔熵来计算。在温度和压力&amp;lt;/font&amp;gt;不变的情况下，化学平衡条件是 dG = 0。&lt;br /&gt;
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  -- [[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） tabulated enthalpies of formation 表列生成焓？？&lt;br /&gt;
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==History历史==&lt;br /&gt;
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{{See also|History of entropy}}&lt;br /&gt;
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[[File:Sadi Carnot.jpeg|thumb|upright|Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique]].]]&lt;br /&gt;
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Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique.]]&lt;br /&gt;
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尼古拉·莱昂纳尔·萨迪·卡诺穿着传统的巴黎综合理工学院制服&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to [[Nicolas Léonard Sadi Carnot]] in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to Nicolas Léonard Sadi Carnot in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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卡诺在1824年提出热转化为机械功的第一个理论。他是第一个正确认识到了转换效率取决于发动机和环境之间的温差的人。&lt;br /&gt;
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Recognizing the significance of [[James Prescott Joule]]'s work on the conservation of energy, [[Rudolf Clausius]] was the first to formulate the second law during 1850, in this form: heat does not flow ''spontaneously'' from cold to hot bodies. While common knowledge now, this was contrary to the [[caloric theory]] of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
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Recognizing the significance of James Prescott Joule's work on the conservation of energy, Rudolf Clausius was the first to formulate the second law during 1850, in this form: heat does not flow spontaneously from cold to hot bodies. While common knowledge now, this was contrary to the caloric theory of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''认识到'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;焦耳James Prescott Joule&amp;lt;/font&amp;gt;'''在能量守恒方面工作的重要性后，在1850年提出了第二定律的第一个公式，在这个公式中: 热不会自发地从冷物体流向热物体。虽然现在这是常识，但是这与当时流行的热理论相反，当时的热理论认为热是一种流体。从这些他推断出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 萨迪卡诺定律the principle of Sadi Carnot&amp;lt;/font&amp;gt;'''和熵的定义(1865年)。&lt;br /&gt;
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Established during the 19th century, the [[Kelvin-Planck statement|Kelvin-Planck statement of the Second Law]] says, &amp;quot;It is impossible for any device that operates on a [[cyclic process|cycle]] to receive heat from a single [[heat reservoir|reservoir]] and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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Established during the 19th century, the Kelvin-Planck statement of the Second Law says, &amp;quot;It is impossible for any device that operates on a cycle to receive heat from a single reservoir and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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19世纪提出的开尔文-普朗克第二陈述(Kelvin-Planck)表示：“任何循环运行的设备都不可能从单个热源接收热并产生净功。”这被证明与克劳修斯的陈述等价。&lt;br /&gt;
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The [[ergodic hypothesis]] is also important for the [[Boltzmann]] approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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The ergodic hypothesis is also important for the Boltzmann approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;遍历假设ergodic hypothesis&amp;lt;/font&amp;gt;'''对'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼方法Boltzmann approach&amp;lt;/font&amp;gt;'''也很重要。遍历假设认为在很长一段时间内，在具有相同能量的微观态相空间的某些区域所花费的时间与这个区域的体积成正比，即在很长一段时间内，所有可访问的微观状态出现/成立的可能性都是一样的。等价于说，&amp;lt;/font&amp;gt;它表明时间平均值和统计集合的平均值是相同的。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 觉得加上出现/成立好一点？&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a [[Macroscopic bodies|macroscopic system]]. This doctrine is obsolescent.&amp;lt;ref&amp;gt;Denbigh, K.G., Denbigh, J.S. (1985). ''Entropy in Relation to Incomplete Knowledge'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-25677-1}}, pp. 43–44.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Grandy, W.T., Jr (2008). ''Entropy and the Time Evolution of Macroscopic Systems'', Oxford University Press, Oxford, {{ISBN|978-0-19-954617-6}}, pp. 55–58.&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lambert&amp;gt;[http://entropysite.oxy.edu Entropy Sites — A Guide] Content selected by [[Frank L. Lambert]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a macroscopic system. This doctrine is obsolescent.&lt;br /&gt;
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克劳修斯还提出了一种传统的学说，他认为熵可以被理解为宏观系统中的'''&amp;lt;font color = '#ff8000'&amp;gt;分子“无序”molecular 'disorder'&amp;lt;/font&amp;gt;'''，但这种学说已经过时了。&lt;br /&gt;
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===Account given by Clausius作者: 克劳修斯===&lt;br /&gt;
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[[File:Clausius-1.jpg|thumb|upright|Rudolf Clausius]]&lt;br /&gt;
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Rudolf Clausius&lt;br /&gt;
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鲁道夫 · 克劳修斯&lt;br /&gt;
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In 1856, the German physicist [[Rudolf Clausius]] stated what he called the &amp;quot;second fundamental theorem in the [[mechanical theory of heat]]&amp;quot; in the following form:{{sfnp|Clausius|1867}}&lt;br /&gt;
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In 1856, the German physicist Rudolf Clausius stated what he called the &amp;quot;second fundamental theorem in the mechanical theory of heat&amp;quot; in the following form:&lt;br /&gt;
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1856年，德国物理学家'''&amp;lt;font color = '#ff8000'&amp;gt;鲁道夫 • 克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''阐述了他所谓的“热力学理论中的第二个基本定理second fundamental theorem in the mechanical theory of heat” ，其形式如下:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''Q'' is heat, ''T'' is temperature and ''N'' is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
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where Q is heat, T is temperature and N is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
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其中 Q 是热，T 是温度，N 是一个循环过程中所有非补偿的相变的“等价值”。后来在1865年，克劳修斯将“等价值”定义为熵。基于这个理论，同一年，第二定律最著名的版本在4月24日苏黎世哲学学会的一次演讲中被提出，在演讲的最后克劳修斯总结道:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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宇宙的熵趋于最大&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. [[universe]], as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. universe, as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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这句话是第二定律最著名的陈述。由于其语言松散模糊，如“宇宙universe”，和缺乏具体的条件，如“开放open”，“封闭closed”，或“孤立isolated”，许多人认为这一简单的陈述意味着热力学第二定律几乎适用于每一个可以想象的主题。这不是真的；这句话只是一个更广泛和更精确的描述的简化版本。&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an [[isolated system]] undergoing an arbitrary transformation is:&lt;br /&gt;
&lt;br /&gt;
In terms of time variation, the mathematical statement of the second law for an isolated system undergoing an arbitrary transformation is:&lt;br /&gt;
&lt;br /&gt;
就时间变化而言，&amp;lt;font color = 'blue'&amp;gt;一个&amp;lt;/font&amp;gt;经历任意变换的孤立系统&amp;lt;font color = 'blue'&amp;gt;的&amp;lt;/font&amp;gt;第二定律的数学表述是:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where: ''S'' is the entropy of the system and&lt;br /&gt;
&lt;br /&gt;
 S is the entropy of the system and&lt;br /&gt;
&lt;br /&gt;
: ''t'' is [[time]].&lt;br /&gt;
&lt;br /&gt;
 t is time.&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
这里''S'' 是系统的熵，T是时间&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
&lt;br /&gt;
!-- 可逆过程需要与周围环境保持平衡。这对于一个孤立的系统是不可能的。因此，关于可逆过程的讨论已经转移到对封闭系统的分析----&lt;br /&gt;
&lt;br /&gt;
The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
&lt;br /&gt;
The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
&lt;br /&gt;
平衡后用等号。另一种表述孤立系统第二定律的方法是：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of [[entropy production]] by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of entropy production by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
用&amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt;表示系统内所有进程'''&amp;lt;font color = '#ff8000'&amp;gt;熵产生Entropy Production&amp;lt;/font&amp;gt;'''的速率之和。这个公式的优点是它显示了熵产生的效果。熵产生率是一个非常重要的概念，因为它决定（或限制）热机的效率。乘以环境温度&amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt;，它给出所谓的耗散能&amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
&lt;br /&gt;
The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
&lt;br /&gt;
封闭系统的第二定律(允许热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;交换和移动边界，但不允许物质交换)的表达式是:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here : &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
Here&lt;br /&gt;
这里&amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt;是进入系统的热流，&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; 是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;进入系统时的温度。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
&lt;br /&gt;
The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
&lt;br /&gt;
只有在系统内发生可逆过程的情况下等号才成立&amp;lt;/font&amp;gt;如果发生不可逆过程（在实际操作系统中就是这种情况）,则“＞”成立。如果系统有多处供热，必须求相应项的代数和。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 因为是中文环境所以统一用中文标点&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For open systems (also allowing exchange of matter):&lt;br /&gt;
&lt;br /&gt;
For open systems (also allowing exchange of matter):&lt;br /&gt;
&lt;br /&gt;
对于开放系统(也允许物质交换) :&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
&lt;br /&gt;
Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
&lt;br /&gt;
这里&amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; 是进入系统的熵流，与进入系统的物质流有关。它不应该与熵的时间导数混淆。如果物质在几个地方被供给，需要取这些贡献的代数和。&lt;br /&gt;
&lt;br /&gt;
==Statistical mechanics==&lt;br /&gt;
&lt;br /&gt;
统计力学&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Statistical mechanics]] gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a [[microstate (statistical mechanics)|microstate]] of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where ''N'' is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
&lt;br /&gt;
Statistical mechanics gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a microstate of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where N is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
&lt;br /&gt;
统计力学通过假设物质是由不断运动的原子和分子组成的，来对第二定律给出了解释。系统中每个粒子的一组特定的位置和速度称为系统的微观状态，由于系统的不断运动，系统不断地改变其微观状态。统计力学假设，在平衡状态下，系统处于&amp;lt;s&amp;gt;的&amp;lt;/s&amp;gt;每个微观状态的可能性是相等的。这个假设的提出直接导致第二定律必须子啊统计学意义上成立&amp;lt;/font&amp;gt;也就是说，第二定律在平均意义上成立，其中统计学变异取决于数量级1/{{radic|''N''}}，其中 N 是系统中粒子数&amp;lt;/font&amp;gt;。在日常(宏观)情况下，违反第二定律的概率几乎为零。然而，对于粒子数量很少的系统，热力学参数，包括熵，可能显示出与第二定律预测结果的显著的统计偏差。经典热力学理论不处理这些统计变量。&lt;br /&gt;
&lt;br /&gt;
（by Jie XIANG) 在通过假定一种物质由不断运动的原子和分子组成的前提下，统计力学对热力学第二定律进行了解释。系统中每个粒子其特定的位置和速度组成为系统的微观状态，由于（原子和分子的）不断运动，系统也持续改变其微观状态。统计力学假设，在系统力平衡的情况下，其微观状态其实是等可能发生的，进而能够得出结论：热力学第二定律必须在统计学意义上成立。也就是说，第二定律将保持均值不变， 其统计变化为1 /√N，N为系统中的粒子数。在日常(宏观)情况下，违反热力学第二定律的概率几乎为零，但是，对于粒子数量非常少的系统，其热力学参数（包括熵）可能会显示出与第二定律所预测的明显统计偏差。然而经典热力学理论并不处理这些统计变量。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 为什么会有两个？迷茫。&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）是不是两个译者翻译的？如果第二段翻译不用，可以括号或删除线标一下&lt;br /&gt;
&lt;br /&gt;
==Derivation from statistical mechanics==&lt;br /&gt;
&lt;br /&gt;
从统计力学导出&lt;br /&gt;
&lt;br /&gt;
{{Further information|H-theorem}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The first mechanical argument of the [[Kinetic theory of gases]] that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to [[James Clerk Maxwell]] in 1860;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Gyenis | first1 = Balazs | doi = 10.1016/j.shpsb.2017.01.001 | title = Maxwell and the normal distribution: A colored story of probability, independence, and tendency towards equilibrium | journal = Studies in History and Philosophy of Modern Physics | volume = 57 | pages = 53–65 | year = 2017| arxiv = 1702.01411 | bibcode = 2017SHPMP..57...53G }}&amp;lt;/ref&amp;gt; [[Ludwig Boltzmann]] with his [[H-theorem]] of 1872 also argued that due to collisions gases should over time tend toward the [[Maxwell–Boltzmann distribution]].&lt;br /&gt;
&lt;br /&gt;
The first mechanical argument of the Kinetic theory of gases that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to James Clerk Maxwell in 1860; Ludwig Boltzmann with his H-theorem of 1872 also argued that due to collisions gases should over time tend toward the Maxwell–Boltzmann distribution.&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;气体动力学Kinetic theory of gases&amp;lt;/font&amp;gt;'''理论的第一个力学论证由'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦James Clerk Maxwell&amp;lt;/font&amp;gt;'''在1860年给出，指出分子碰撞引起温度均衡化，因此整体趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;平衡 Equilibrium &amp;lt;/font&amp;gt;'''； '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼Ludwig Boltzmann&amp;lt;/font&amp;gt;'''在1872年提出的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; H 定理H-theorem&amp;lt;/font&amp;gt;'''也认为，气体由于碰撞应该随着时间的推移趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦-波兹曼分布Maxwell–Boltzmann distribution&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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Due to [[Loschmidt's paradox]], derivations of the Second Law have to make an assumption regarding the past, namely that the system is [[Correlation and dependence|uncorrelated]] at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a [[boundary condition]], and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the [[Big Bang]]), though [[Boltzmann brain|other scenarios]] have also been suggested.&amp;lt;ref name=&amp;quot;Hawking AOT&amp;quot;&amp;gt;{{cite journal|last=Hawking|first=SW|title=Arrow of time in cosmology|journal=Phys. Rev. D|year=1985|volume=32|issue=10|pages=2489–2495|doi=10.1103/PhysRevD.32.2489|pmid=9956019|bibcode = 1985PhRvD..32.2489H }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last = Greene | first = Brian | authorlink = Brian Greene | title = The Fabric of the Cosmos | url = https://archive.org/details/fabricofcosmossp00gree | url-access = registration | publisher = Alfred A. Knopf | year = 2004 | page = [https://archive.org/details/fabricofcosmossp00gree/page/171 171] | isbn = 978-0-375-41288-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lebowitz&amp;gt;{{cite journal|last=Lebowitz|first=Joel L.|title= Boltzmann's Entropy and Time's Arrow|journal=Physics Today|date=September 1993|volume=46|issue=9|pages=32–38|url=http://users.df.uba.ar/ariel/materias/FT3_2008_1C/papers_pdf/lebowitz_370.pdf|accessdate=2013-02-22|doi=10.1063/1.881363|bibcode = 1993PhT....46i..32L }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Due to Loschmidt's paradox, derivations of the Second Law have to make an assumption regarding the past, namely that the system is uncorrelated at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a boundary condition, and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the Big Bang), though other scenarios have also been suggested.&lt;br /&gt;
&lt;br /&gt;
由于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论Loschmidt's paradox&amp;lt;/font&amp;gt;'''，第二定律的导出必须对过去做出一个假设，即系统在过去的某个时刻是不相关的；这样的假设允许进行简单的概率处理。这个假设通常被认为是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边界条件boundary condition&amp;lt;/font&amp;gt;'''，因此热力学第二定律最终是过去某个地方的初始条件的结果，可能是在宇宙的开始('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;大爆炸 the Big Bang&amp;lt;/font&amp;gt;''') ，尽管也有人提出了其他场景。&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the [[Statistical mechanics#Fundamental postulate|fundamental postulate]], also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy.{{citation needed|date=August 2012}} The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
&lt;br /&gt;
Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the fundamental postulate, also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy. The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
&lt;br /&gt;
基于这些假设，在统计力学中，第二定律不是一个假设，而是'''统计力学基本假设Statistical mechanics#Fundamental postulate|fundamental postulate'''的一个结果，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;等先验概率假设 equal prior probability postulate&amp;lt;/font&amp;gt;'''。这个基本假设表明，只要一个人清楚地知道，简单的概率论证只适用于未来，而对于过去，有辅助的信息来源告诉我们，它是低熵的。如果我们把熵的概念限制在热平衡系统中，那么热力学第二定律的第一部分即热孤立系统的熵只能增加，是等先验概率假设的一个显然结果。处于热平衡状态的孤立系统且具有能量&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;的熵表示为：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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其中&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 是处于 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;E +\delta E&amp;lt;/math这个小区间内的量子态数目。这里的 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 是一个宏观上很小的固定能量区间。严格地说，这意味着熵取决于对&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;的选择。然而在热力学极限下（例如无穷大系统的极限），狭义的熵(单位体积或单位质量的熵)不依赖于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;。&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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假设我们有一个孤立系统，其宏观状态由许多变量指定。这些宏观变量可以是总体积、活塞在系统中的位置等。从而&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;将取决于这些变量的值。如果某个变量不是固定的（我们不会在某个位置夹住活塞) ，那么因为在平衡状态下到达所有可到达状态的可能性是相等的，平衡状态下的自由变量会使 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，因为这是平衡状态下最可能的情况。&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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如果该变量最初固定到某个值然后释放，当达到新的平衡时，变量将自我调整使得 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，这意味着熵将增加或保持不变（如果变量初始固定的值恰好是平衡值）。&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's [[H-theorem]], however, proves that the quantity {{math|''H''}} increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's H-theorem, however, proves that the quantity  increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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假设我们初始位于一个平衡状态，突然移除了对一个变量的约束。我们做完这件事的时候，可达到的微观状态的数为&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;，但是系统还没有达到平衡，所以系统处于某些可达到的状态的实际概率还不等于先验概率 &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;。我们已经知道，最终的平衡状态相对于之前的平衡状态，熵会增加或者保持不变。然而，玻耳兹曼的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;H定理H-theorem&amp;lt;/font&amp;gt;'''证明系统在不处于平衡态的期间，那个量作为时间的函数单调增加。&lt;br /&gt;
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===Derivation of the entropy change for reversible processes===&lt;br /&gt;
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可逆过程熵变的推导&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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热力学第二定律的第二部分指出，经历可逆过程的系统的熵变为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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其中温度定义为:&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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See [[Microcanonical ensemble|here]] for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the [[adiabatic theorem]] of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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See here for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the adiabatic theorem of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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请参阅'''此处Microcanonical ensemble|here'''查看该定义的正当性。假设系统有一些可以改变的外部参数 x。一般来说，系统的能量本征态将依赖于 x。根据量子力学的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;绝热定理adiabatic theorem&amp;lt;/font&amp;gt;'''，在系统哈密顿量无限缓慢变化的极限下，系统将保持在相同的'''&amp;lt;font color = '#ff8000'&amp;gt;能量本征态 energy eigenstate&amp;lt;/font&amp;gt;'''，因此系统的能量会随着其所在能量本征态的能量变化而变化。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能量本征态 不懂翻译是否正确&lt;br /&gt;
  --[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)我觉得是这样的--[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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对于外部变量 x 可以定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;广义力generalized force&amp;lt;/font&amp;gt;''' X ，因此如果 x 增加 dx，那么&amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; 就是系统所做的功。例如，如果 x 是体积，那么 X 就是压强。一个已知处于能量本征态&amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt;的系统的广义力为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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由于系统可以在&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 区间内的任意能量本征态内，我们将系统的广义力定义为上述表达式的期望值:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
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为了计算平均值，我们按照能量本征态来划分&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt;，通过计算有多少能量本征态的&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;值在区间在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;之间。把这个数字叫做为 &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;，我们有:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The average defining the generalized force can now be written:&lt;br /&gt;
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The average defining the generalized force can now be written:&lt;br /&gt;
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根据平均值定义的广义力现在可以写成:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
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We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
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我们可以把它和由恒定能量 E 下的 x 导出来的熵联系起来。假定我们把 x 改变至 x + dx。然后因为能量本征态依赖于 x，  &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 将会改变，这导致能量本征态进入或超出&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; 之间的范围。让我们再次关注&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; 处于 &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt; 之间的能量本征态。由于这些能量本征态的能量增加了 Y dx，所有这些在 E-Y dx 到 E 之间能量本征态都从 E 以下移动到 E 以上。 因此有&lt;br /&gt;
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: &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
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such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
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这些的能量本征态。如果&amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;，则所有这些能量本征态将移动到 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;的范围内，使得&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增加。从&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上的能量本征态数目为 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;。它们的差&lt;br /&gt;
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: &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
因此是 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增长的净贡献。请注意如果 Y dx 大于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;，那么将会有能量本征态从 E 以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上。它们在&amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;中都有计数，因此上述表达式在这种情况下也是有效的。&lt;br /&gt;
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Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
&lt;br /&gt;
Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
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将上面的表达式表示为对 E 的导数，并且对 Y 求和得到表达式:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;的对数关于x的导数由以下方式给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
第一项是集约型的，即它不能根据系统大小进行缩放。相反，最后一项跟随逆系统的大小而缩放，因此将在热力学极限中消失。因此我们发现:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Combining this with&lt;br /&gt;
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Combining this with&lt;br /&gt;
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将这个和下面式子结合&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Gives:&lt;br /&gt;
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Gives:&lt;br /&gt;
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给出：&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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===Derivation for systems described by the canonical ensemble===&lt;br /&gt;
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正则系综系统的推导&lt;br /&gt;
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If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the [[canonical ensemble]]:&lt;br /&gt;
&lt;br /&gt;
If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the canonical ensemble:&lt;br /&gt;
&lt;br /&gt;
如果一个系统与某个温度为T的热浴热接触，那么在平衡状态下，关于能量本征值的概率分布值由'''&amp;lt;font color = '#ff8000'&amp;gt;正则系综canonical ensemble&amp;lt;/font&amp;gt;'''给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the [[Partition function (statistical mechanics)|partition function]]. We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the partition function. &amp;lt;font color = 'red'&amp;gt;We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. &amp;lt;/font&amp;gt;It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
这里 Z 是一个使所有概率之和归一化到 1 的因子，这个函数被称为'''&amp;lt;font color = '#ff8000'&amp;gt;配分函数Partition function (statistical mechanics)|partition function&amp;lt;/font&amp;gt;'''。现在我们考虑对温度和能级所依赖的外部参数的无限小的可逆改变。它遵循熵的一般公式:&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能级依赖温度吗？即“现在我们考虑……的可逆改变”当中，“on which the energy levels depend”修饰（1）in the external parameters，还是（2）in the temperature and in the external parameters&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）修饰in the external parameters&lt;br /&gt;
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&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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that&lt;br /&gt;
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that&lt;br /&gt;
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以及&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
&lt;br /&gt;
Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
&lt;br /&gt;
把正则系综的数学形式 &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; 插入，可以得到:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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生命体&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as [[What is Life?|Erwin Schrödinger]], [[Léon Brillouin]]&amp;lt;ref&amp;gt;Léon Brillouin [https://books.google.com/books?hl=en&amp;amp;lr=&amp;amp;id=tPXVbiw_1P0C ''Science and Information Theory''] (Academic Press, 1962) (Dover, 2004)&amp;lt;/ref&amp;gt; and [[Life and Energy|Isaac Asimov]]. It is also the topic of current{{When|date=July 2019}} research.{{Citation needed|date=July 2019}}&lt;br /&gt;
&lt;br /&gt;
There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as Erwin Schrödinger, Léon Brillouin and Isaac Asimov. It is also the topic of current research.&lt;br /&gt;
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表述热力学主要有两种方式：(a)描述从一种热力学平衡状态到另一种状态的路径，(b)通过系统保持不变但周围环境的总熵增加的循环过程。这两种方法有助于理解生命过程。这个话题大大超出了本文的范围，但是已经有一些研究者考虑过这个问题，比如'''&amp;lt;font color = '#ff8000'&amp;gt;薛定谔Erwin Schrödinger&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;布里渊Léon Brillouin&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;阿西莫夫Isaac Asimov&amp;lt;/font&amp;gt;'''。这也是当前研究的主题。&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of [[metabolism]], give out breakdown products and heat. Plants [[Photosynthesis|take in radiative energy]] from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
&lt;br /&gt;
To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of metabolism, give out breakdown products and heat. Plants take in radiative energy from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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从近似的角度来看，生命体可以被认为是(b)的一个例子。近似地，一只动物的身体状态每天循环，使得它几乎没有什么变化。动物吸收食物、水和氧气，经过'''&amp;lt;font color = '#ff8000'&amp;gt;新陈代谢metabolism&amp;lt;/font&amp;gt;'''，输出分解的产物和热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;。植物吸收来自太阳的辐射能量，这可以认为是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;，以及二氧化碳和水，然后它们释放氧气。它们就是这样生长的。&amp;lt;font color = 'blue'&amp;gt;它们&amp;lt;/font&amp;gt;最终会死亡，尸体腐烂，大部分重新变成二氧化碳和水。这可以看作是一个循环过程。总的来说，阳光来自一个高温的源——太阳，它的能量被传递到一个较低的温度源，即向太空辐射。这个过程使得植物周围环境的熵增加。因此从循环过程的角度来看，动物和植物服从热力学第二定律。简单的热机效率概念很难适用于这个问题，因为它们假定系统是封闭的。&lt;br /&gt;
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From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to [[Non-equilibrium thermodynamics|unsettled current debate or research]]. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to unsettled current debate or research. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
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从(a)的热力学观点考虑，即考虑从一个平衡状态到另一个平衡状态的路径，只会产生一个粗略近似的图像，因为生命体从来不会处于热力学平衡状态。生物体经常必须被认为是开放的系统，因为它们吸收营养物质并排出废弃物。开放系统热力学目前通常从一个热力学平衡状态到另一个状态的路径的角度来考虑，或者是考虑局部热力学平衡近似下的流。生命体的问题可以通过假定一个流不变的稳态的近似来进一步简化。对于这样的近似，目前有很多关于熵产生的一般原理的未解决的争论或研究。尽管如此，从热力学第二定律的这个角度出发衍生出来的想法对生物是有启发意义的。&lt;br /&gt;
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==Gravitational systems==&lt;br /&gt;
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== Gravitational systems 重力系统 ==&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive [[heat capacity]], meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;&amp;gt;Grandy, W.T. (Jr) (2008), p. 151.&amp;lt;/ref&amp;gt; Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive heat capacity, meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it. Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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在不需要对其广义相对论解释的系统中，物体始终具有正热容，这意味着温度随能量而升高。因此，当能量从高温物体流向低温物体时，发射源温度降低而冷源温度升高；因此，温差会随着时间的流逝而减小。对于引力很重要并且需要广义相对论的系统而言，情况并非总是如此。这样的系统可以自发地向质量和能量不均匀的分布转变。这适用于大规模的宇宙，因此可能很难或不可能对它应用第二定律。除此之外，广义相对论描述的系统的热力学超出了本文的范围。&lt;br /&gt;
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==Non-equilibrium states==&lt;br /&gt;
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== Non-equilibrium states 非平衡状态 ==&lt;br /&gt;
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The theory of classical or [[thermodynamic equilibrium|equilibrium thermodynamics]] is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Callen, H.B. (1960/1985), p. 15.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The theory of classical or equilibrium thermodynamics is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&lt;br /&gt;
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经典热力学或平衡热力学理论是理想化的。其主要假定或假设（通常甚至没有明确地陈述），是基于系统处在自身内部的热力学平衡状态。通常，在自然界可能发现的，在给定时间包含物理系统的空间区域，其热力学平衡状态并不是能用最严格的术语来表示。用较宽泛的术语来说，整个宇宙中没有任何东西是或曾经是真正处于精确的热力学平衡状态中。&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of [[thermodynamic equilibrium]]. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable [[thermal fluctuations|fluctuations]]. There is an exception, the case of [[critical point (thermodynamics)|critical states]], which exhibit to the naked eye the phenomenon of [[critical opalescence]]. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of thermodynamic equilibrium. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable fluctuations. There is an exception, the case of critical states, which exhibit to the naked eye the phenomenon of critical opalescence. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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为了进行物理分析，通常做一个热力学平衡的假设就足够方便可行。 这样的假设可能依赖于反复试验和试错来证明其合理性。如果假设是合理的，那么它通常会非常有价值，因为它使热力学理论成为可能。平衡假设的要素是，观察到的系统会无限期地保持不变，并且因为系统中有很多粒子，以至于完全可以忽略其微粒的本质。通常在这种平衡假设下，不存在一个宏观上可检测到的波动。临界状态是一个例外，肉眼可以观察到临界'''&amp;lt;font color = '#ff8000'&amp;gt;乳光现象opalescence&amp;lt;/font&amp;gt;'''。对于临界状态的实验室研究，需要非常长的观察时间。&lt;br /&gt;
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In all cases, the assumption of [[thermodynamic equilibrium]], once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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In all cases, the assumption of thermodynamic equilibrium, once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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在所有情况下，一旦做出了热力学平衡的假设，则作为一个结果意味着假定中的能改变系统熵的候选波动不存在。&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 190.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&lt;br /&gt;
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物理系统很容易发生内部宏观变化，其速度之快足以使熵的恒定性假设失效。或物理系统中的粒子太少，以至于微粒的本质在可观测的波动中显而易见。那么热力学平衡的假设就会被放弃。对于非平衡态，熵没有绝对的通俗定义。&lt;br /&gt;
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There are intermediate cases, in which the assumption of local [[thermodynamic equilibrium]] is a very good approximation,&amp;lt;ref&amp;gt;Gyarmati, I. (1967/1970), pp. 4-14.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Glansdorff, P., Prigogine, I. (1971).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003).&amp;lt;/ref&amp;gt; but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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There are intermediate cases, in which the assumption of local thermodynamic equilibrium is a very good approximation, but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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还有一些中间情况，其中局部热力学平衡的假设是一个非常好的近似，但严格地说它仍然是一个近似值，不是理论上的理想值。&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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对于一般的非平衡状态，考虑其他量的统计力学定义可能是有用的，这些量可以方便地称为“熵”，但是它们不应该与第二定律正确定义的熵混淆或合并。这些其他量确实属于统计力学，而不属于第二定律的主要领域——热力学。&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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宏观上可观察到的波动的物理学超出了本文的范围。&lt;br /&gt;
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==Arrow of time==&lt;br /&gt;
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== Arrow of time 时间之箭 ==&lt;br /&gt;
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时间之箭&lt;br /&gt;
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{{Further information|Entropy (arrow of time)}}Thermodynamic Asymmetry in Time&lt;br /&gt;
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Thermodynamic Asymmetry in Time&lt;br /&gt;
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时间中的热力学不对称性&lt;br /&gt;
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{{See also|Arrow of time}}&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with notions that have been observed of the fundamental laws of physics, namely [[CPT symmetry]], since the second law applies statistically, it is hypothesized, on time-asymmetric ''boundary conditions''.&amp;lt;ref&amp;gt;{{cite web|first=Craig|last=Callender|url=https://plato.stanford.edu/archives/fall2011/entries/time-thermo/|title=Thermodynamic Asymmetry in Time|encyclopedia=Stanford Encyclopedia of Philosophy|date=29 July 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with symmetries observed in the fundamental laws of physics (particularly CPT symmetry) since the second law applies statistically on time-asymmetric boundary conditions.[78] The second law has been related to the difference between moving forwards and backwards in time, or to the principle that cause precedes effect (the causal arrow of time, or causality).[79]&lt;br /&gt;
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热力学第二定律是在时间方向上不对称的物理定律。这与在物理学基本定律中观察到的对称性概念（特别是CPT对称性）&amp;lt;s&amp;gt;并&amp;lt;/s&amp;gt;没有冲突，因为第二定律在统计上适用于时间非对称边界条件。第二定律与时间向前和向后移动之间的差异有关，或者与原因先于结果的原理（时间的因果关系或因果关系）有关。&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect ([[Arrow of time#The causal arrow of time|the causal arrow of time]]).&amp;lt;ref&amp;gt;{{cite book | first = J.J.| last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1|display-authors=etal}} chapter 6&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect (the causal arrow of time).&lt;br /&gt;
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第二定律被提出来侧面解释时间向前和向后移动的区别，例如为什么原因先于结果(因果关系的时间箭头)。&lt;br /&gt;
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==Irreversibility==&lt;br /&gt;
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== Irreversibility 不可逆性 ==&lt;br /&gt;
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Irreversibility in [[thermodynamic process]]es is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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Irreversibility in thermodynamic processes is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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热力学过程中的不可逆性是热力学作用不对称特性的结果，而不是物体内部任何不可逆的微观性质的结果。热力学作用是对参与体施加的宏观外部干预，并非来自其内部属性。由于没有认识到这一点，产生了被称为“悖论”的说法。&lt;br /&gt;
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=== Loschmidt's paradox 洛施密特悖论 ===&lt;br /&gt;
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{{main article|Loschmidt's paradox}}&lt;br /&gt;
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[[Loschmidt's paradox]], also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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Loschmidt's paradox, also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论 Loschmidt's paradox&amp;lt;/font&amp;gt;'''，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;可逆性悖论reversibility paradox&amp;lt;/font&amp;gt;'''，它反驳说，从描述宏观系统微观演化的时间对称动力学中，不可能推导出不可逆过程。&lt;br /&gt;
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In the opinion of [[Erwin Schrödinger|Schrödinger]], &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropy{{snd}}or for that matter, all other irreversible statements{{snd}}so that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot;&amp;lt;ref&amp;gt;[[Erwin Schrödinger|Schrödinger, E.]] (1950), p.&amp;amp;nbsp;192.&amp;lt;/ref&amp;gt; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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In the opinion of Schrödinger, &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropyor for that matter, all other irreversible statementsso that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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薛定谔的认为：“现在很明显，您必须以何种方式重新制定熵定律（亦或者所有其他不可逆陈述）以使它们能够从可逆模型中得出。你不能只谈论一个孤立的系统，而应该至少谈论两个。你可以暂时认为它们与世界其它地方是孤立的，但并不总是相互孤立的。”这两个系统被隔离内壁彼此分开，直到被热力学（由热力学定律设想出来的）作用而拆除。热力学作用是从外部施加的，不受支配系统组成部分的可逆微观动力学定律的制约。这是不可逆转的原因。本文中第二定律的陈述符合薛定谔的的建议。 因果关系在逻辑上先于第二定律，而不是由第二定律推导而来。&lt;br /&gt;
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=== Poincaré recurrence theorem 庞加莱始态复现定理 ===&lt;br /&gt;
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{{Main article|Poincaré recurrence theorem}}&lt;br /&gt;
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The [[Poincaré recurrence theorem]] considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics. Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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The Poincaré recurrence theorem considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics.Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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庞加莱始态复现定理考虑了孤立物理系统的理论微观描述。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）又叫递归定理吗？存疑 &lt;br /&gt;
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经过热力学作用去除隔离内壁之后，便可以认为其是热力学系统的模型。在足够长的时间后，系统将返回到非常接近初始状态的微观定义状态。庞加莱复现时间是指回归前经过的时间长度。它极其漫长，可能比宇宙的寿命还要长，并且对那个被热力学作用拆除的内壁的几何形状敏感。复现定理可能被认为是明显与热力学第二定律相矛盾的。但是，更显而易见的是，它只是通过移除两个系统之间的内壁而形成的隔离系统中热力学平衡的微观模型。对所有典型的热力学系统的实际目的，人们无法观察到如此之长的复现时间很长（比宇宙的寿命长很多倍）。尽管如此，还是有人会想像一个机会可以等待庞加莱复现的出现，然后重新插入被热力学作用去除的内壁。然后很明显，不可逆性的出现是由于庞加莱复现完全不可预测的特性，因为仅仅给出了初始状态是热力学平衡之一，就像宏观热力学的情况一样。即使一个人可以等那么长时间，他也没有实际操作的可能性来选择合适的时间重新插入内壁。庞加莱始态复现定理为洛施密特悖论提供了一个解决方案。如果一个孤立的热力学系统能以多倍于平均庞加莱复现时间的长度下被监控，则该系统的热力学行为在时间反转下将变得恒定。&lt;br /&gt;
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[[File:James-clerk-maxwell3.jpg|thumb|upright|James Clerk Maxwell]]&lt;br /&gt;
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James Clerk Maxwell&lt;br /&gt;
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詹姆斯·克拉克·麦克斯韦&lt;br /&gt;
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=== Maxwell's demon 麦克斯韦妖 ===&lt;br /&gt;
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{{main article|Maxwell's demon}}&lt;br /&gt;
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[[James Clerk Maxwell]] imagined one container divided into two parts, ''A'' and ''B''. Both parts are filled with the same [[gas]] at equal temperatures and placed next to each other, separated by a wall. Observing the [[molecule]]s on both sides, an imaginary [[demon]] guards a microscopic trapdoor in the wall. When a faster-than-average molecule from ''A'' flies towards the trapdoor, the demon opens it, and the molecule will fly from ''A'' to ''B''. The average [[speed]] of the molecules in ''B'' will have increased while in ''A'' they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in ''A'' and increases in ''B'', contrary to the second law of thermodynamics.&lt;br /&gt;
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James Clerk Maxwell imagined one container divided into two parts, A and B. Both parts are filled with the same gas at equal temperatures and placed next to each other, separated by a wall. Observing the molecules on both sides, an imaginary demon guards a microscopic trapdoor in the wall. When a faster-than-average molecule from A flies towards the trapdoor, the demon opens it, and the molecule will fly from A to B. The average speed of the molecules in B will have increased while in A they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in A and increases in B, contrary to the second law of thermodynamics.&lt;br /&gt;
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'''麦克斯韦 James Clerk Maxwell'''设想一个容器分为A和B两部分。两部分均在相同温度下充满相同的气体，并彼此相邻由内壁隔开。一个虚构的妖精看守着一个内壁上的微型陷门，并观察者内壁两边的分子。当来自A的速度快于平均水平的分子飞向门时，妖精将门打开，该分子将从A飞向B。B中分子的平均速度将增加，而A中分子的平均速度将降低。由于平均分子速度与温度相对应，因此与热力学第二定律相反，温度在A中降低，在B中升高。&lt;br /&gt;
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One response to this question was suggested in 1929 by [[Leó Szilárd]] and later by [[Léon Brillouin]]. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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One response to this question was suggested in 1929 by Leó Szilárd and later by Léon Brillouin. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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1929年，Leó Szilárd和后来的 Léon Brillouin 对这个问题提出了一个答案。Szilárd指出，现实生活中的麦克斯韦妖需要一些测量分子速度的方法，而获取信息的过程需要消耗能量。&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between ''A'' and ''B''. It is therefore performing [[thermodynamic operation]]s on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between A and B. It is therefore performing thermodynamic operations on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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麦克斯韦的“妖”重复地改变 A 和 B 之间壁的热透性。因此，它是在微观尺度上执行热力学操作，而不仅仅是观察普通的自发或自然的宏观热力学过程。&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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语录&lt;br /&gt;
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{{quote|The law that entropy always increases holds, I think, the supreme position among the [[Laws of science|laws of Nature]]. If someone points out to you that your pet theory of the [[universe]] is in disagreement with [[Maxwell's equations]] – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.|Sir [[Arthur Stanley Eddington]], ''The Nature of the Physical World'' (1927)}}&lt;br /&gt;
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The law that entropy always increases holds, I think, the supreme position among the laws of Nature. If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equations – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.&lt;br /&gt;
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— Sir Arthur Stanley Eddington, The Nature of the Physical World (1927)&lt;br /&gt;
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我认为，熵总是增加的定律在自然定律中占有至高无上的地位。如果有人指出您的宇宙宠物理论杜撰的宇宙理论与麦克斯韦方程不符，那么麦克斯韦方程就遇到麻烦了。如果发现您的理论与观察不符，那么，可能是这些实验学家搞砸了。但是，如果发现您的理论违反了热力学第二定律，那么就没有希望了。除了在深深的耻辱中崩溃，别无他法。&lt;br /&gt;
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—亚瑟·斯坦利·爱丁顿爵士，《自然世界》（1927年）&lt;br /&gt;
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{{quote|There have been nearly as many formulations of the second law as there have been discussions of it.|Philosopher / Physicist [[Percy Williams Bridgman|P.W. Bridgman]], (1941)}}&lt;br /&gt;
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There have been nearly as many formulations of the second law as there have been discussions of it.&lt;br /&gt;
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— Philosopher / Physicist P.W. Bridgman, (1941)&lt;br /&gt;
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关于第二定律的公式几乎与关于第二定律的讨论一样多。&lt;br /&gt;
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—哲学家/物理学家 布里奇曼（1941）&lt;br /&gt;
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{{quote|Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.|[[Clifford Truesdell|Truesdell, C.]], Muncaster, R. G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 17.}}&lt;br /&gt;
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Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.&lt;br /&gt;
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克劳修斯（Sir Clausius）是西伯利亚文“宇宙的能量是恒定的；宇宙的熵趋于最大。”的作者。连续热力学的目标远远不能解释“宇宙”，但是在该理论内，我们可以很容易地以某种类似于克劳修斯的方式得出明确的陈述，只是它仅仅指代一个简单的物体：一个有限大小的孤立物体。&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.  特雷斯德尔，C.，蒙卡斯特，R.G.（1980）。麦克斯韦的单原子气体动力学理论的基本原理，被作为“理性力学”的一个分支，纽约学术出版社，ISBN 0-12-701350-4，第1页. 17。&lt;br /&gt;
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==See also==&lt;br /&gt;
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*[[Clausius–Duhem inequality 克劳修斯－迪昂不等式]]&lt;br /&gt;
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*[[Fluctuation theorem 涨落定理]]&lt;br /&gt;
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*[[Heat death of the universe 热寂]]&lt;br /&gt;
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*[[History of thermodynamics 热力学发展史]]&lt;br /&gt;
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*[[Jarzynski equality Jarzynski恒等式]]&lt;br /&gt;
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*[[Laws of thermodynamics 热力学定律]]&lt;br /&gt;
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*[[Maximum entropy thermodynamics 最大熵热力学]]&lt;br /&gt;
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*[[Quantum thermodynamics 量子热力学]]&lt;br /&gt;
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*[[Reflections on the Motive Power of Fire 关于火的原动力的思考]]&lt;br /&gt;
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*[[Relativistic heat conduction 相对论的热传导]]&lt;br /&gt;
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*[[Thermal diode 热敏二极管]]&lt;br /&gt;
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*[[Thermodynamic equilibrium 热力学平衡]]&lt;br /&gt;
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==References==&lt;br /&gt;
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===Sources===&lt;br /&gt;
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资料来源&lt;br /&gt;
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*Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (1st edition 1968), third edition 1983, Cambridge University Press, Cambridge UK, {{ISBN|0-521-25445-0}}.&lt;br /&gt;
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*[[Peter Atkins|Atkins, P.W.]], de Paula, J. (2006). ''Atkins' Physical Chemistry'', eighth edition, W.H. Freeman, New York, {{ISBN|978-0-7167-8759-4}}.&lt;br /&gt;
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*Attard, P. (2012). ''Non-equilibrium Thermodynamics and Statistical Mechanics: Foundations and Applications'', Oxford University Press, Oxford UK, {{ISBN|978-0-19-966276-0}}.&lt;br /&gt;
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*Baierlein, R. (1999). ''Thermal Physics'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-59082-5}}.&lt;br /&gt;
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*Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics, New York, {{ISBN|0-88318-797-3}}.&lt;br /&gt;
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*{{Cite book|title=Concepts in thermal physics|last=Blundell|first=Stephen J.|last2=Blundell|authorlink1=Stephen Blundell|first2=Katherine M.|authorlink2=Katherine Blundell|publisher=[[Oxford University Press]]|year=2010|isbn=9780199562107|edition=2nd|location=Oxford|pages=|oclc=607907330|doi=10.1093/acprof:oso/9780199562091.001.0001 |url=http://cds.cern.ch/record/1235139}}&lt;br /&gt;
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*[[Ludwig Boltzmann|Boltzmann, L.]] (1896/1964). ''Lectures on Gas Theory'', translated by S.G. Brush, University of California Press, Berkeley.&lt;br /&gt;
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*Borgnakke, C., Sonntag., R.E. (2009). ''Fundamentals of Thermodynamics'', seventh edition, Wiley, {{ISBN|978-0-470-04192-5}}.&lt;br /&gt;
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*Buchdahl, H.A. (1966). ''The Concepts of Classical Thermodynamics'', Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Percy Williams Bridgman|Bridgman, P.W.]] (1943). ''The Nature of Thermodynamics'', Harvard University Press, Cambridge MA.&lt;br /&gt;
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*[[Herbert Callen|Callen, H.B.]] (1960/1985). ''Thermodynamics and an Introduction to Thermostatistics'', (1st edition 1960) 2nd edition 1985, Wiley, New York, {{ISBN|0-471-86256-8}}.&lt;br /&gt;
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*{{cite journal|author=C. Carathéodory|author1-link=Constantin Carathéodory&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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2010年3月15日 | 第355-386页 |  http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;ppn=ppn235181684_0067&amp;amp;dmdid=dmdlog_0033&amp;amp;l=1&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). ''The Second Law of Thermodynamics'', Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). The Second Law of Thermodynamics, Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können.(p. 363) | doi 10.1007 / bf01450409}.译文可以在这里找到[ http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf ]。同时，在 Kestin，j。(1976).热力学第二定律，Dowden，Hutchinson &amp;amp; Ross，Stroudsburg PA. 。&lt;br /&gt;
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*[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986). [http://www.worldcat.org/title/reflections-on-the-motive-power-of-fire-a-critical-edition-with-the-surviving-scientific-manuscripts-translated-and-edited-by-fox-robert/oclc/812944517&amp;amp;referer=brief_results ''Reflections on the motive power of fire''], Manchester University Press, Manchester UK, {{ISBN|0-7190-1741-6}}. [https://archive.org/stream/reflectionsonmot00carnrich#page/n7/mode/2up Also here.]&lt;br /&gt;
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*[[Sydney Chapman (mathematician)|Chapman, S.]], [[Thomas George Cowling|Cowling, T.G.]] (1939/1970). ''The Mathematical Theory of Non-uniform gases. An Account of the Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases'', third edition 1970, Cambridge University Press, London.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Ueber Die Bewegende Kraft Der Wärme Und Die Gesetze, Welche Sich Daraus Für Die Wärmelehre Selbst Ableiten Lassen|journal=Annalen der Physik|year=1850|volume=79|issue=4|pages=368–397, 500–524|url=http://gallica.bnf.fr/ark:/12148/bpt6k15164w/f518.image|accessdate=26 June 2012|doi=10.1002/andp.18501550403|bibcode = 1850AnP...155..500C |hdl=2027/uc1.$b242250|hdl-access=free}} Translated into English: {{cite journal|last=Clausius|first=R.|title=On the Moving Force of Heat, and the Laws regarding the Nature of Heat itself which are deducible therefrom|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1851| volume=2|series=4th|issue=VIII|pages=1–21; 102–119 |url=https://archive.org/stream/londonedinburghd02lond#page/1/mode/1up|accessdate=26 June 2012&lt;br /&gt;
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10.1080 / 14786445108646819}&lt;br /&gt;
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* {{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Über eine veränderte Form des zweiten Hauptsatzes der mechanischen Wärmetheorie|year=1854|journal=Annalen der Physik|volume=xciii|issue=12|pages=481–506|url=http://zfbb.thulb.uni-jena.de/servlets/MCRFileNodeServlet/jportal_derivate_00140956/18541691202_ftp.pdf|accessdate=24 March 2014|doi=10.1002/andp.18541691202&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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| bibcode 1854AnP... 169. 1856年7月 | 第2卷 | 第4页 | 第86页 |  https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=242014年3月&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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热力学理论及其在蒸汽机和物体物理性质中的应用 | 1867年 | 出版商 John van Voorst | 位置: 伦敦 |  https://archive.org/details/mechanicaltheor04claugoog|quote=editions:pwr_sbkwa8ic。 2012年6月19日&lt;br /&gt;
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*Denbigh, K. (1954/1981). ''The Principles of Chemical Equilibrium. With Applications in Chemistry and Chemical Engineering'', fourth edition, Cambridge University Press, Cambridge UK, {{ISBN|0-521-23682-7}}.&lt;br /&gt;
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*Eu, B.C. (2002). ''Generalized Thermodynamics. The Thermodynamics of Irreversible Processes and Generalized Hydrodynamics'', Kluwer Academic Publishers, Dordrecht, {{ISBN|1-4020-0788-4}}.&lt;br /&gt;
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*[[Josiah Willard Gibbs|Gibbs, J.W.]] (1876/1878). On the equilibrium of heterogeneous substances, ''Trans. Conn. Acad.'', '''3''': 108-248, 343-524, reprinted in ''The Collected Works of J. Willard Gibbs, Ph.D, LL. D.'', edited by W.R. Longley, R.G. Van Name, Longmans, Green &amp;amp; Co., New York, 1928, volume 1, pp.&amp;amp;nbsp;55–353.&lt;br /&gt;
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*Griem, H.R. (2005). ''Principles of Plasma Spectroscopy (Cambridge Monographs on Plasma Physics)'', Cambridge University Press, New York  {{ISBN|0-521-61941-6}}.&lt;br /&gt;
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*Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability, and Fluctuations'', Wiley-Interscience, London, 1971, {{ISBN|0-471-30280-5}}.&lt;br /&gt;
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*Grandy, W.T., Jr (2008). [http://global.oup.com/academic/product/entropy-and-the-time-evolution-of-macroscopic-systems-9780199546176?cc=au&amp;amp;lang=en&amp;amp; ''Entropy and the Time Evolution of Macroscopic Systems'']. Oxford University Press. {{ISBN|978-0-19-954617-6}}.&lt;br /&gt;
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*Greven, A., Keller, G., Warnecke (editors) (2003). ''Entropy'', Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1949). 'Statistical basis of thermodynamics', ''Research'', '''2''': 450–454.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1967). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', fifth revised edition, North Holland, Amsterdam.&lt;br /&gt;
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*Gyarmati, I. (1967/1970) ''Non-equilibrium Thermodynamics. Field Theory and Variational Principles'', translated by E. Gyarmati and W.F. Heinz, Springer, New York.&lt;br /&gt;
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*[[Charles Kittel|Kittel, C.]], [[Herbert Kroemer|Kroemer, H.]] (1969/1980). ''Thermal Physics'', second edition, Freeman, San Francisco CA, {{ISBN|0-7167-1088-9}}.&lt;br /&gt;
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*Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998). ''Modern Thermodynamics: From Heat Engines to Dissipative Structures'', John Wiley &amp;amp; Sons, Chichester, {{ISBN|0-471-97393-9}}.&lt;br /&gt;
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*Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics: Foundations, Applications, Frontiers'', Springer-Verlag, Berlin, {{ISBN|978-3-540-74252-4}}.&lt;br /&gt;
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*{{cite journal|ref=harv|title=The Physics and Mathematics of the Second Law of Thermodynamics|last1=Lieb |first1=E. H. |last2=Yngvason |first2=J.|journal=Physics Reports|volume=310|issue=1|pages=1–96 |year=1999|doi=10.1016/S0370-1573(98)00082-9|arxiv = cond-mat/9708200 |bibcode = 1999PhR...310....1L}}&lt;br /&gt;
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*Lieb, E.H., Yngvason, J. (2003). The Entropy of Classical Thermodynamics, pp.&amp;amp;nbsp;147–195, Chapter 8 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*{{cite book|ref=harv|first=F.|last=Mandl|title=Statistical physics|edition=second|year=1988|publisher=[[Wiley &amp;amp; Sons]]|isbn=978-0-471-91533-1}}&lt;br /&gt;
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*{{cite journal | last1 = Maxwell | first1 = J.C. | authorlink = James Clerk Maxwell | year = 1867 | title = On the dynamical theory of gases | url = | journal = Phil. Trans. R. Soc. Lond. | volume = 157 | issue = | pages = 49–88 | doi = 10.1098/rstl.1867.0004 }}&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985). ''Thermodynamics'', Pitman, London, {{ISBN|0-273-08577-8}}.&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003). Entropy in Nonequilibrium, pp.&amp;amp;nbsp;79–109, Chapter 5 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}.&lt;br /&gt;
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*[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1897/1903). [https://archive.org/stream/treatiseonthermo00planrich#page/100/mode/2up ''Treatise on Thermodynamics'', translated by A. Ogg, Longmans Green, London, p. 100.]&lt;br /&gt;
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*[[Max Planck|Planck. M.]] (1914). [https://archive.org/details/theoryofheatradi00planrich ''The Theory of Heat Radiation''], a translation by Masius, M. of the second German edition, P. Blakiston's Son &amp;amp; Co., Philadelphia.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1926). Über die Begründung des zweiten Hauptsatzes der Thermodynamik, ''Sitzungsberichte der Preussischen Akademie der Wissenschaften: Physikalisch-mathematische Klasse'': 453–463.&lt;br /&gt;
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* Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769-781.&lt;br /&gt;
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* {{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&lt;br /&gt;
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*Quinn, T.J. (1983). ''Temperature'', Academic Press, London, {{ISBN|0-12-569680-9}}.&lt;br /&gt;
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*{{cite book|ref=harv|first=Y.V.C.|last=Rao|title=An Introduction to thermodynamics|url=https://books.google.com/books?id=iYWiCXziWsEC&amp;amp;pg=PA213|date=2004|publisher=Universities Press|isbn=978-81-7371-461-0|page=213}}&lt;br /&gt;
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*Roberts, J.K., Miller, A.R. (1928/1960). ''Heat and Thermodynamics'', (first edition 1928), fifth edition, Blackie &amp;amp; Son Limited, Glasgow.&lt;br /&gt;
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*[[Erwin Schrödinger|Schrödinger, E.]] (1950). Irreversibility, ''Proc. R. Ir. Acad.'', '''A53''': 189–195.&lt;br /&gt;
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*[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966). ''Elements of Thermodynamics'', Addison-Wesley Publishing, Reading MA.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Thomson|first=W.|author-link=William Thomson, 1st Baron Kelvin|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Transactions of the Royal Society of Edinburgh|year=1851|volume=XX|issue=part II|pages=261–268; 289–298|url=https://www.biodiversitylibrary.org/item/126047#page/295/mode/1up}} Also published in {{cite journal|last=Thomson|first=W.|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Philos. Mag. |date=December 1852 |volume=IV |series=4 |issue=22 |page=13|url=https://archive.org/stream/londonedinburghp04maga#page/12/mode/2up |accessdate=25 June 2012}}&lt;br /&gt;
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*[[William Thomson, 1st Baron Kelvin|Thomson, W.]] (1852). ''On the universal tendency in nature to the dissipation of mechanical energy'' Philosophical Magazine, Ser. 4, p.&amp;amp;nbsp;304.&lt;br /&gt;
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*[[László Tisza|Tisza, L.]] (1966). ''Generalized Thermodynamics'', M.I.T Press, Cambridge MA.&lt;br /&gt;
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*[[Clifford Truesdell|Truesdell, C.]] (1980). ''The Tragicomical History of Thermodynamics 1822–1854'', Springer, New York, {{ISBN|0-387-90403-4}}.&lt;br /&gt;
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*Uffink, J. (2001). Bluff your way in the second law of thermodynamics, ''Stud. Hist. Phil. Mod. Phys.'', '''32'''(3): 305–394.&lt;br /&gt;
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*Uffink, J. (2003). Irreversibility and the Second Law of Thermodynamics, Chapter 7 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003), Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963). ''Lectures in Statistical Mechanics'', American Mathematical Society, Providence RI.&lt;br /&gt;
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*[[Mark Zemansky|Zemansky, M.W.]] (1968). ''Heat and Thermodynamics. An Intermediate Textbook'', fifth edition, McGraw-Hill Book Company, New York.&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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进一步阅读&lt;br /&gt;
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*Goldstein, Martin, and Inge F., 1993. ''The Refrigerator and the Universe''. Harvard Univ. Press. Chpts. 4–9 contain an introduction to the Second Law, one a bit less technical than this entry. {{ISBN|978-0-674-75324-2}}&lt;br /&gt;
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*Leff, Harvey S., and Rex, Andrew F. (eds.) 2003. ''Maxwell's Demon 2 : Entropy, classical and quantum information, computing''. Bristol UK; Philadelphia PA: [[Institute of Physics]]. {{ISBN|978-0-585-49237-7}}&lt;br /&gt;
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*{{Cite book | first = J.J. | last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1}}(technical).&lt;br /&gt;
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*{{cite book |title=Reflections on the Motive Power of Heat and on Machines Fitted to Develop That Power |last=Carnot |first=Sadi |editor=[[Robert Henry Thurston|Thurston, Robert Henry]] |year=1890 |publisher=J. Wiley &amp;amp; Sons |location=New York |isbn= |pages= }} ([https://books.google.com/books?id=tgdJAAAAIAAJ full text of 1897 ed.]) ([http://www.history.rochester.edu/steam/carnot/1943/ html])&lt;br /&gt;
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*Stephen Jay Kline (1999). ''The Low-Down on Entropy and Interpretive Thermodynamics'', La Cañada, CA: DCW Industries. {{ISBN|1-928729-01-0}}.&lt;br /&gt;
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*{{cite book | last1 = Kostic | first1 = M | year = 2011 | title = Revisiting The Second Law of Energy Degradation and Entropy Generation: From Sadi Carnot's Ingenious Reasoning to Holistic Generalization | journal = AIP Conf. Proc. | volume = 1411 | issue = 1| pages = 327–350 | doi = 10.1063/1.3665247 | isbn = 978-0-7354-0985-9 | bibcode = 2011AIPC.1411..327K | series = AIP Conference Proceedings | citeseerx = 10.1.1.405.1945 }} also at [https://web.archive.org/web/20130420222450/http://www.kostic.niu.edu/2ndLaw/Revisiting%20The%20Second%20Law%20of%20Energy%20Degradation%20and%20Entropy%20Generation%20-%20From%20Carnot%20to%20Holistic%20Generalization-4.pdf].&lt;br /&gt;
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==External links==&lt;br /&gt;
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==External links==&lt;br /&gt;
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外部链接&lt;br /&gt;
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*[[Stanford Encyclopedia of Philosophy]]: &amp;quot;[http://plato.stanford.edu/entries/statphys-statmech/ Philosophy of Statistical Mechanics]&amp;quot; – by Lawrence Sklar.&lt;br /&gt;
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*[http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node30.html ''Second law of thermodynamics''] in the MIT Course [http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/notes.html ''Unified Thermodynamics and Propulsion''] from Prof. Z. S. Spakovszky&lt;br /&gt;
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*[[E.T. Jaynes]], 1988, &amp;quot;[http://bayes.wustl.edu/etj/articles/ccarnot.pdf The evolution of Carnot's principle],&amp;quot; in G. J. Erickson and C. R. Smith (eds.)''Maximum-Entropy and Bayesian Methods in Science and Engineering, Vol'' 1: p.&amp;amp;nbsp;267.&lt;br /&gt;
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*[http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf Caratheodory, C., &amp;quot;Examination of the foundations of thermodynamics,&amp;quot; trans. by D. H. Delphenich]&lt;br /&gt;
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* [https://www.bbc.co.uk/programmes/p004y2bm The Second Law of Thermodynamics], BBC Radio 4 discussion with John Gribbin, Peter Atkins &amp;amp; Monica Grady (''In Our Time'', Dec. 16, 2004)&lt;br /&gt;
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* [http://mdpi.org/entropy/papers/e6010001.pdf [[Entropy (journal)]], 2004]&lt;br /&gt;
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* [https://www.journals.uchicago.edu/doi/abs/10.1086/663835 The Journal of the International Society for the History of Philosophy of Science, 2012]&lt;br /&gt;
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{{DEFAULTSORT:Second Law Of Thermodynamics}}&lt;br /&gt;
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[[Category:Concepts in physics]]&lt;br /&gt;
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Category:Concepts in physics&lt;br /&gt;
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分类: 物理概念&lt;br /&gt;
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[[Category:Laws of thermodynamics|2]]&lt;br /&gt;
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[[Category:Non-equilibrium thermodynamics]]&lt;br /&gt;
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Category:Non-equilibrium thermodynamics&lt;br /&gt;
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类别: 非平衡态热力学&lt;br /&gt;
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Category:Philosophy of thermal and statistical physics&lt;br /&gt;
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类别: 热力学和统计物理学哲学&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Second law of thermodynamics]]. Its edit history can be viewed at [[热力学第二定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%9B%BE%EF%BC%88%E6%8A%BD%E8%B1%A1%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B%EF%BC%89&amp;diff=12845</id>
		<title>图（抽象数据类型）</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%9B%BE%EF%BC%88%E6%8A%BD%E8%B1%A1%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B%EF%BC%89&amp;diff=12845"/>
		<updated>2020-08-18T00:58:17Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）在篇首写下 本词条由[[用户名]]初步翻译&lt;br /&gt;
此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。&lt;br /&gt;
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[[File:Directed.svg|160px|thumb|A [[directed graph]] with three [[Vertex (graph theory)|vertices]] (blue circles) and three [[Edge (graph theory)|edges]] (black arrows).]]&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）注意图的格式  转行写[图1： 英文加翻译内容]&lt;br /&gt;
A [[directed graph with three vertices (blue circles) and three edges (black arrows).]]&lt;br /&gt;
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一个[有三个顶点(蓝色圆圈)和三条边(黑色箭头)的有向图]&lt;br /&gt;
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In [[computer science]], a '''graph''' is an [[abstract data type]] that is meant to implement the [[Graph (discrete mathematics)|undirected graph]] and [[directed graph]] concepts from the field of [[graph theory]] within [[mathematics]].&lt;br /&gt;
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In computer science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics.&lt;br /&gt;
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在计算机科学中，图是一种抽象的数据类型，用来实现数学中图论领域中的无向图和有向图的概念。&lt;br /&gt;
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A graph data structure consists of a finite (and possibly mutable) [[Set (computer science)|set]] of ''vertices'' (also called ''nodes'' or ''points''), together with a set of unordered pairs of these vertices for an undirected graph or a set of ordered pairs for a directed graph. These pairs are known as ''edges'' (also called ''links'' or ''lines''), and for a directed graph are also known as ''arrows''. The vertices may be part of the graph structure, or may be external entities represented by integer indices or [[Reference (computer science)|references]].&lt;br /&gt;
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A graph data structure consists of a finite (and possibly mutable) set of vertices (also called nodes or points), together with a set of unordered pairs of these vertices for an undirected graph or a set of ordered pairs for a directed graph. These pairs are known as edges (also called links or lines), and for a directed graph are also known as arrows. The vertices may be part of the graph structure, or may be external entities represented by integer indices or references.&lt;br /&gt;
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一个图的数据结构由一个有限的(也可能是可变的)顶点集(也称为节点或点) ，以及一组无向图的无序顶点对或有向图的有序对组成。这些对称为边(也称为链接或直线) ，对于有向图，也称为箭头。顶点可以是图结构的一部分，也可以是由整数索引或引用表示的外部实体。&lt;br /&gt;
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A graph data structure may also associate to each edge some ''edge value'', such as a symbolic label or a numeric attribute (cost, capacity, length, etc.).&lt;br /&gt;
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A graph data structure may also associate to each edge some edge value, such as a symbolic label or a numeric attribute (cost, capacity, length, etc.).&lt;br /&gt;
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图形数据结构还可以为每个边关联一些边值，如符号标签或数字属性(成本、容量、长度等)。).&lt;br /&gt;
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==Operations==&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）章节名记得翻译&lt;br /&gt;
The basic operations provided by a graph data structure ''G'' usually include:&amp;lt;ref name=&amp;quot;gt-ops&amp;quot;&amp;gt;See, e.g. {{harvtxt|Goodrich|Tamassia|2015}}, Section 13.1.2: Operations on graphs, p. 360. For a more detailed set of operations, see {{citation|contribution=Chapter 6: Graphs and their data structures|pages=240–282|title=LEDA: A platform for combinatorial and geometric computing|first1=K.|last1=Mehlhorn|author1-link=Kurt Mehlhorn|first2=S.|last2=Näher|publisher=Cambridge University Press|year=1999}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The basic operations provided by a graph data structure G usually include:&lt;br /&gt;
&lt;br /&gt;
图形数据结构 G 提供的基本操作通常包括:&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）变量斜体&lt;br /&gt;
* &amp;lt;code&amp;gt;adjacent&amp;lt;/code&amp;gt;(''G'', ''x'', ''y''): tests whether there is an edge from the vertex ''x'' to the vertex ''y'';&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;neighbors&amp;lt;/code&amp;gt;(''G'', ''x''): lists all vertices ''y'' such that there is an edge from the vertex ''x'' to the vertex ''y'';&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;add_vertex&amp;lt;/code&amp;gt;(''G'', ''x''): adds the vertex ''x'', if it is not there;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;remove_vertex&amp;lt;/code&amp;gt;(''G'', ''x''): removes the vertex ''x'', if it is there;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;add_edge&amp;lt;/code&amp;gt;(''G'', ''x'', ''y''): adds the edge from the vertex ''x'' to the vertex ''y'', if it is not there;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;remove_edge&amp;lt;/code&amp;gt;(''G'', ''x'', ''y''): removes the edge from the vertex ''x'' to the vertex ''y'', if it is there;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;get_vertex_value&amp;lt;/code&amp;gt;(''G'', ''x''): returns the value associated with the vertex ''x'';&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;set_vertex_value&amp;lt;/code&amp;gt;(''G'', ''x'', ''v''): sets the value associated with the vertex ''x'' to ''v''.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Structures that associate values to the edges usually also provide:&amp;lt;ref name=&amp;quot;gt-ops&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Structures that associate values to the edges usually also provide:&lt;br /&gt;
&lt;br /&gt;
将值关联到边的结构通常还提供:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;get_edge_value&amp;lt;/code&amp;gt;(''G'', ''x'', ''y''): returns the value associated with the edge (''x'', ''y'');&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;code&amp;gt;set_edge_value&amp;lt;/code&amp;gt;(''G'', ''x'', ''y'', ''v''): sets the value associated with the edge (''x'', ''y'') to ''v''.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Representations==&lt;br /&gt;
&lt;br /&gt;
Different data structures for the representation of graphs are used in practice:&lt;br /&gt;
&lt;br /&gt;
Different data structures for the representation of graphs are used in practice:&lt;br /&gt;
&lt;br /&gt;
图形表示的不同数据结构在实践中使用:&lt;br /&gt;
&lt;br /&gt;
; [[Adjacency list]]&amp;lt;ref&amp;gt;{{harvtxt|Cormen|Leiserson|Rivest|Stein|2001}}, pp. 528–529; {{harvtxt|Goodrich|Tamassia|2015}}, pp. 361-362.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 Adjacency list&lt;br /&gt;
&lt;br /&gt;
邻接表&lt;br /&gt;
&lt;br /&gt;
: Vertices are stored as records or objects, and every vertex stores a [[list (computing)|list]] of adjacent vertices. This data structure allows the storage of additional data on the vertices. Additional data can be stored if edges are also stored as objects, in which case each vertex stores its incident edges and each edge stores its incident vertices.&lt;br /&gt;
&lt;br /&gt;
 Vertices are stored as records or objects, and every vertex stores a list of adjacent vertices. This data structure allows the storage of additional data on the vertices. Additional data can be stored if edges are also stored as objects, in which case each vertex stores its incident edges and each edge stores its incident vertices.&lt;br /&gt;
&lt;br /&gt;
顶点作为记录或对象存储，每个顶点存储一个相邻顶点列表。这种数据结构允许在顶点上存储额外的数据。如果边也存储为对象，那么可以存储额外的数据，在这种情况下，每个顶点存储它的关联边，每个边存储它的关联顶点。&lt;br /&gt;
&lt;br /&gt;
; [[Adjacency matrix]]&amp;lt;ref&amp;gt;{{harvtxt|Cormen|Leiserson|Rivest|Stein|2001}}, pp. 529–530; {{harvtxt|Goodrich|Tamassia|2015}}, p.&amp;amp;nbsp;363.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 Adjacency matrix&lt;br /&gt;
&lt;br /&gt;
邻接矩阵&lt;br /&gt;
&lt;br /&gt;
: A two-dimensional matrix, in which the rows represent source vertices and columns represent destination vertices. Data on edges and vertices must be stored externally. Only the cost for one edge can be stored between each pair of vertices.&lt;br /&gt;
&lt;br /&gt;
 A two-dimensional matrix, in which the rows represent source vertices and columns represent destination vertices. Data on edges and vertices must be stored externally. Only the cost for one edge can be stored between each pair of vertices.&lt;br /&gt;
&lt;br /&gt;
一个二维矩阵，其中行表示源顶点，列表示目标顶点。关于边和顶点的数据必须存储在外部。只有一个边的开销可以存储在每对顶点之间。&lt;br /&gt;
&lt;br /&gt;
; [[Incidence matrix]]&amp;lt;ref&amp;gt;{{harvtxt|Cormen|Leiserson|Rivest|Stein|2001}}, Exercise 22.1-7, p.&amp;amp;nbsp;531.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 Incidence matrix&lt;br /&gt;
&lt;br /&gt;
关联矩阵&lt;br /&gt;
&lt;br /&gt;
: A two-dimensional Boolean matrix, in which the rows represent the vertices and columns represent the edges. The entries indicate whether the vertex at a row is incident to the edge at a column.&lt;br /&gt;
&lt;br /&gt;
 A two-dimensional Boolean matrix, in which the rows represent the vertices and columns represent the edges. The entries indicate whether the vertex at a row is incident to the edge at a column.&lt;br /&gt;
&lt;br /&gt;
一个二维布尔矩阵，其中行表示顶点，列表示边。条目指示行上的顶点是否与列上的边相关联。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The following table gives the [[time complexity]] cost of performing various operations on graphs, for each of these representations, with |''V'' | the number of vertices and |''E'' | the number of edges.{{Citation needed|reason=Reliable source needed for the entire table below.|date=November 2011}} In the matrix representations, the entries encode the cost of following an edge. The cost of edges that are not present are assumed to be ∞.&lt;br /&gt;
&lt;br /&gt;
The following table gives the time complexity cost of performing various operations on graphs, for each of these representations, with |V | the number of vertices and |E | the number of edges. In the matrix representations, the entries encode the cost of following an edge. The cost of edges that are not present are assumed to be ∞.&lt;br /&gt;
&lt;br /&gt;
下表给出了在图上执行各种操作的时间复杂度，对于每个表示，用 | v | 顶点数和 | e | 边数。在矩阵表示中，条目对跟随边的代价进行编码。假定不存在的边的代价为∞。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
&lt;br /&gt;
{ | class = “ wikitable”&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
!&lt;br /&gt;
&lt;br /&gt;
!&lt;br /&gt;
&lt;br /&gt;
!&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Adjacency list&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Adjacency list&lt;br /&gt;
&lt;br /&gt;
!“ col” | 邻接表&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Adjacency matrix&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Adjacency matrix&lt;br /&gt;
&lt;br /&gt;
!范围 = “ col” | 邻接矩阵&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Incidence matrix&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Incidence matrix&lt;br /&gt;
&lt;br /&gt;
!范围 = “ col” | 关联矩阵&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; {{rh2|align=left}} | Store graph&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot;  | Store graph&lt;br /&gt;
&lt;br /&gt;
!Scope = “ row” | Store graph&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|+|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|+|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
(| v | + | e |)&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|^2)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|^2)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | ^ 2)&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | cdot | e |)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; {{rh2|align=left}} | Add vertex&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot;  | Add vertex&lt;br /&gt;
&lt;br /&gt;
!Scope = “ row” | Add vertex&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (1) &amp;lt;/math &amp;gt; &lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|^2)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|^2)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | ^ 2)&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | cdot | e |)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; {{rh2|align=left}} | Add edge&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot;  | Add edge&lt;br /&gt;
&lt;br /&gt;
!Scope = “ row” | Add edge&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (1) &amp;lt;/math &amp;gt; &lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (1) &amp;lt;/math &amp;gt; &lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | cdot | e |)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; {{rh2|align=left}} | Remove vertex&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot;  | Remove vertex&lt;br /&gt;
&lt;br /&gt;
!Scope = “ row” | 删除顶点&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| e |)&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|^2)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|^2)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | ^ 2)&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | cdot | e |)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; {{rh2|align=left}} | Remove edge&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot;  | Remove edge&lt;br /&gt;
&lt;br /&gt;
!Scope = “ row” | Remove edge&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v |) &amp;lt;/math &amp;gt; &lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (1) &amp;lt;/math &amp;gt; &lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|\cdot|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v | cdot | e |)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; {{rh2|align=left}} | Are vertices ''x'' and ''y'' adjacent (assuming that their storage positions are known)?&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot;  | Are vertices x and y adjacent (assuming that their storage positions are known)?&lt;br /&gt;
&lt;br /&gt;
!Scope = “ row” | 顶点 x 和 y 是否相邻(假设它们的存储位置已知) ？&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|V|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| v |) &amp;lt;/math &amp;gt; &lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (1) &amp;lt;/math &amp;gt; &lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt;math&amp;gt;O(|E|)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| &amp;lt; math &amp;gt; o (| e |)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot; {{rh2|align=left}} | Remarks&lt;br /&gt;
&lt;br /&gt;
! scope=&amp;quot;row&amp;quot;  | Remarks&lt;br /&gt;
&lt;br /&gt;
!Scope = “ row” | 备注&lt;br /&gt;
&lt;br /&gt;
| Slow to remove vertices and edges, because it needs to find all vertices or edges&lt;br /&gt;
&lt;br /&gt;
| Slow to remove vertices and edges, because it needs to find all vertices or edges&lt;br /&gt;
&lt;br /&gt;
移除顶点和边的速度很慢，因为它需要找到所有的顶点或边&lt;br /&gt;
&lt;br /&gt;
| Slow to add or remove vertices, because matrix must be resized/copied&lt;br /&gt;
&lt;br /&gt;
| Slow to add or remove vertices, because matrix must be resized/copied&lt;br /&gt;
&lt;br /&gt;
| 增加或删除顶点速度慢，因为矩阵必须调整大小/复制&lt;br /&gt;
&lt;br /&gt;
| Slow to add or remove vertices and edges, because matrix must be resized/copied&lt;br /&gt;
&lt;br /&gt;
| Slow to add or remove vertices and edges, because matrix must be resized/copied&lt;br /&gt;
&lt;br /&gt;
| 增加或删除顶点和边时速度慢，因为矩阵必须调整大小/复制&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Adjacency lists are generally preferred because they efficiently represent [[sparse graph]]s. An adjacency matrix is preferred if the graph is dense, that is the number of edges |''E'' | is close to the number of vertices squared, |''V'' |&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;, or if one must be able to quickly look up if there is an edge connecting two vertices.&amp;lt;ref name=&amp;quot;clrs&amp;quot;&amp;gt;{{citation |authorlink=Thomas H. Cormen |first=Thomas H. |last=Cormen |authorlink2=Charles E. Leiserson |first2=Charles E. |last2=Leiserson |authorlink3=Ronald L. Rivest |first3=Ronald L. |last3=Rivest |authorlink4=Clifford Stein |first4=Clifford |last4=Stein |year=2001 |title=[[Introduction to Algorithms]] |edition=Second |publisher=MIT Press and McGraw-Hill |isbn=0-262-03293-7 |chapter=Section 22.1: Representations of graphs |pages=527–531 }}.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;gt&amp;quot;&amp;gt;{{citation|title=Algorithm Design and Applications|first1=Michael T.|last1=Goodrich|author1-link=Michael T. Goodrich|first2=Roberto|last2=Tamassia|author2-link=Roberto Tamassia|publisher=Wiley|year=2015|contribution=Section 13.1: Graph terminology and representations|pages=355–364}}.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Adjacency lists are generally preferred because they efficiently represent sparse graphs. An adjacency matrix is preferred if the graph is dense, that is the number of edges |E | is close to the number of vertices squared, |V |&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;, or if one must be able to quickly look up if there is an edge connecting two vertices.&lt;br /&gt;
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邻接表通常是首选的，因为它们能有效地表示稀疏图。如果图是稠密的，那么邻接矩阵是首选的，即边的数目 | e | 接近于顶点的平方数，| v | &amp;lt; sup &amp;gt; 2 &amp;lt;/sup &amp;gt; ，或者如果有一条边连接两个顶点，那么必须能够快速查找。&lt;br /&gt;
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== Parallel Graph Representations ==&lt;br /&gt;
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The parallelization of graph problems faces significant challenges: Data-driven computations, unstructured problems, poor locality and high data access to computation ratio.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite book|last=Bader|first=David|url=http://www.ams.org/conm/588/|title=Graph Partitioning and Graph Clustering|last2=Meyerhenke|first2=Henning|last3=Sanders|first3=Peter|last4=Wagner|first4=Dorothea|date=January 2013|publisher=American Mathematical Society|isbn=978-0-8218-9038-7|series=Contemporary Mathematics|volume=588|language=en|doi=10.1090/conm/588/11709}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal|last=LUMSDAINE|first=ANDREW|last2=GREGOR|first2=DOUGLAS|last3=HENDRICKSON|first3=BRUCE|last4=BERRY|first4=JONATHAN|date=March 2007|title=CHALLENGES IN PARALLEL GRAPH PROCESSING|url=http://dx.doi.org/10.1142/s0129626407002843|journal=Parallel Processing Letters|volume=17|issue=01|pages=5–20|doi=10.1142/s0129626407002843|issn=0129-6264}}&amp;lt;/ref&amp;gt; The graph representation used for parallel architectures plays a significant role in facing those challenges. Poorly chosen representations may unnecessarily drive up the communication cost of the algorithm, which will decrease its [[scalability]]. In the following, shared and distributed memory architectures are considered.&lt;br /&gt;
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The parallelization of graph problems faces significant challenges: Data-driven computations, unstructured problems, poor locality and high data access to computation ratio. The graph representation used for parallel architectures plays a significant role in facing those challenges. Poorly chosen representations may unnecessarily drive up the communication cost of the algorithm, which will decrease its scalability. In the following, shared and distributed memory architectures are considered.&lt;br /&gt;
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图问题的并行化面临着重大的挑战: 数据驱动的计算、非结构化问题、局部性差和计算数据访问率高。用于并行架构的图表示在面对这些挑战时扮演着重要的角色。选择不当的表示可能会不必要地增加算法的通信代价，从而降低算法的可扩展性。在下面，我们将考虑共享和分布式内存架构。&lt;br /&gt;
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=== Shared memory ===&lt;br /&gt;
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In the case of a [[shared memory]] model, the graph representations used for parallel processing are the same as in the sequential case,&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite book|last=Sanders|first=Peter|url=https://www.springer.com/gp/book/9783030252083|title=Sequential and Parallel Algorithms and Data Structures: The Basic Toolbox|last2=Mehlhorn|first2=Kurt|last3=Dietzfelbinger|first3=Martin|last4=Dementiev|first4=Roman|date=2019|publisher=Springer International Publishing|isbn=978-3-030-25208-3|language=en}}&amp;lt;/ref&amp;gt; since parallel read-only access to the graph representation (e.g. an [[adjacency list]]) is efficient in shared memory.&lt;br /&gt;
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In the case of a shared memory model, the graph representations used for parallel processing are the same as in the sequential case, since parallel read-only access to the graph representation (e.g. an adjacency list) is efficient in shared memory.&lt;br /&gt;
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在共享内存模型的情况下，用于并行处理的图表示与顺序处理相同，因为对图表示的并行只读访问(例如:。邻接表)是共享内存的有效方法。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）通读一遍  注意多余符号的问题(例如:。邻接表)&lt;br /&gt;
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=== Distributed Memory ===&lt;br /&gt;
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In the [[distributed memory]] model, the usual approach is to [[Graph partition|partition]] the vertex set &amp;lt;math&amp;gt;V&amp;lt;/math&amp;gt; of the graph into &amp;lt;math&amp;gt;p&amp;lt;/math&amp;gt; sets &amp;lt;math&amp;gt;V_0, \dots, V_{p-1}&amp;lt;/math&amp;gt;. Here, &amp;lt;math&amp;gt;p&amp;lt;/math&amp;gt; is the amount of available processing elements (PE). The vertex set partitions are then distributed to the PEs with matching index, additionally to the corresponding edges. Every PE has its own [[Subgraph (graph theory)|subgraph]] representation, where edges with an endpoint in another partition require special attention. For standard communication interfaces like [[Message Passing Interface|MPI]], the ID of the PE owning the other endpoint has to be identifiable. During computation in a distributed graph algorithms, passing information along these edges implies communication.&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;&lt;br /&gt;
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In the distributed memory model, the usual approach is to partition the vertex set &amp;lt;math&amp;gt;V&amp;lt;/math&amp;gt; of the graph into &amp;lt;math&amp;gt;p&amp;lt;/math&amp;gt; sets &amp;lt;math&amp;gt;V_0, \dots, V_{p-1}&amp;lt;/math&amp;gt;. Here, &amp;lt;math&amp;gt;p&amp;lt;/math&amp;gt; is the amount of available processing elements (PE). The vertex set partitions are then distributed to the PEs with matching index, additionally to the corresponding edges. Every PE has its own subgraph representation, where edges with an endpoint in another partition require special attention. For standard communication interfaces like MPI, the ID of the PE owning the other endpoint has to be identifiable. During computation in a distributed graph algorithms, passing information along these edges implies communication.&lt;br /&gt;
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在分布式存储模型中，常用的方法是将图的顶点集合 &amp;lt; math &amp;gt; v &amp;lt;/math &amp;gt; 分解为 &amp;lt; math &amp;gt; p &amp;lt;/math &amp;gt; 集合 &amp;lt; math &amp;gt; v0，dots，v { p-1} &amp;lt;/math &amp;gt; 。这里，&amp;lt; math &amp;gt; p &amp;lt;/math &amp;gt; 是可用处理元素(PE)的数量。然后，顶点集合分区被分配到具有匹配索引的 pe 中，并附加到相应的边上。每个 PE 都有自己的子图表示法，其中带有另一个分区中端点的边需要特别注意。对于像 MPI 这样的标准通信接口，拥有其他端点的 PE 的 ID 必须是可识别的。在分布式图算法的计算过程中，沿着这些边传递信息意味着通信。&lt;br /&gt;
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[[Graph partition|Partitioning the graph]] needs to be done carefully - there is a trade-off between low communication and even size partitioning&amp;lt;ref&amp;gt;{{Cite web|url=https://www.graphengine.io/downloads/papers/ParallelProcessingOfGraphs.pdf|title=Parallel Processing of Graphs|last=|first=|date=|website=|url-status=live|archive-url=|archive-date=|access-date=}}&amp;lt;/ref&amp;gt; But partitioning a graph is a NP-hard problem, so it is not feasible to calculate them. Instead, the following heuristics are used.&lt;br /&gt;
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Partitioning the graph needs to be done carefully - there is a trade-off between low communication and even size partitioning But partitioning a graph is a NP-hard problem, so it is not feasible to calculate them. Instead, the following heuristics are used.&lt;br /&gt;
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图的划分需要仔细地进行——在低通信和甚至大小划分之间有一个权衡。但是图的划分是一个 np 难问题，因此计算它们是不可行的。相反，使用以下启发式。&lt;br /&gt;
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1D partitioning: Every processor gets &amp;lt;math&amp;gt;n/p&amp;lt;/math&amp;gt; vertices and the corresponding outgoing edges. This can be understood as a row-wise or column-wise decomposition of the adjacency matrix. For algorithms operating on this representation, this requires an All-to-All communication step as well as &amp;lt;math&amp;gt;\mathcal{O}(m)&amp;lt;/math&amp;gt; message buffer sizes, as each PE potentially has outgoing edges to every other PE.&amp;lt;ref name=&amp;quot;:2&amp;quot;&amp;gt;{{Cite web|url=https://dl.acm.org/doi/abs/10.1145/2063384.2063471|title=Parallel breadth-first search on distributed memory systems {{!}} Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis|website=dl.acm.org|language=EN|doi=10.1145/2063384.2063471|access-date=2020-02-06}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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1D partitioning: Every processor gets &amp;lt;math&amp;gt;n/p&amp;lt;/math&amp;gt; vertices and the corresponding outgoing edges. This can be understood as a row-wise or column-wise decomposition of the adjacency matrix. For algorithms operating on this representation, this requires an All-to-All communication step as well as &amp;lt;math&amp;gt;\mathcal{O}(m)&amp;lt;/math&amp;gt; message buffer sizes, as each PE potentially has outgoing edges to every other PE.&lt;br /&gt;
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1D 分区: 每个处理器都会得到 &amp;lt; math &amp;gt; n/p &amp;lt;/math &amp;gt; 顶点和相应的外出边。这可以理解为按行或按列对邻接矩阵进行分解。对于在这种表示形式上运行的算法，这需要一个 All-to-All 通信步骤以及 &amp;lt; math &amp;gt; mathcal { o }(m) &amp;lt;/math &amp;gt; 消息缓冲区大小，因为每个 PE 可能具有相对于其他 PE 的传出边缘。&lt;br /&gt;
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2D partitioning: Every processor gets a submatrix of the adjacency matrix. Assume the processors are aligned in a rectangle &amp;lt;math&amp;gt;p = p_r \times p_c&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;p_r&lt;br /&gt;
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2D partitioning: Every processor gets a submatrix of the adjacency matrix. Assume the processors are aligned in a rectangle &amp;lt;math&amp;gt;p = p_r \times p_c&amp;lt;/math&amp;gt;, where &amp;lt;math&amp;gt;p_r&lt;br /&gt;
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2 d 分区: 每个处理器都有一个邻接矩阵矩阵的子矩阵。假设处理器在一个矩形 &amp;lt; math &amp;gt; p = p _ r 乘以 p _ c &amp;lt;/math &amp;gt; 中对齐，其中 &amp;lt; math &amp;gt; p _ r&lt;br /&gt;
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&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_c&lt;br /&gt;
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&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;p_c&lt;br /&gt;
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[/math ]和[ math ]&lt;br /&gt;
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&amp;lt;/math&amp;gt; are the amount of processing elements in each row and column, respectively. Then each processor gets a [[submatrix]] of the adjacency matrix of dimension &amp;lt;math&amp;gt;(n/p_r)\times(n/p_c)&amp;lt;/math&amp;gt;. This can be visualized as a [[checkerboard]] pattern in a matrix.&amp;lt;ref name=&amp;quot;:2&amp;quot; /&amp;gt; Therefore, each processing unit can only have outgoing edges to PEs in the same row and column. This bounds the amount of communication partners for each PE to &amp;lt;math&amp;gt;p_r + p_c - 1&amp;lt;/math&amp;gt; out of &amp;lt;math&amp;gt;p = p_r \times p_c&amp;lt;/math&amp;gt; possible ones.&lt;br /&gt;
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&amp;lt;/math&amp;gt; are the amount of processing elements in each row and column, respectively. Then each processor gets a submatrix of the adjacency matrix of dimension &amp;lt;math&amp;gt;(n/p_r)\times(n/p_c)&amp;lt;/math&amp;gt;. This can be visualized as a checkerboard pattern in a matrix. Therefore, each processing unit can only have outgoing edges to PEs in the same row and column. This bounds the amount of communication partners for each PE to &amp;lt;math&amp;gt;p_r + p_c - 1&amp;lt;/math&amp;gt; out of &amp;lt;math&amp;gt;p = p_r \times p_c&amp;lt;/math&amp;gt; possible ones.&lt;br /&gt;
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&amp;lt;/math &amp;gt; 是每行和每列中处理元素的数量。然后每个处理器得到维数 &amp;lt; math &amp;gt; (n/p _ r)乘以(n/p _ c) &amp;lt;/math &amp;gt; 的邻接矩阵矩阵。这可以可视化为矩阵中的棋盘格模式。因此，每个处理单元只能在同一行和列中具有 pe 的外出边。这将每个 PE 的通信伙伴的数量限制为 &amp;lt; math &amp;gt; p _ r + p _ c-1 &amp;lt;/math &amp;gt; 出 &amp;lt; math &amp;gt; p = p _ r 乘以 p _ c &amp;lt;/math &amp;gt; 可能的伙伴。&lt;br /&gt;
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==See also==&lt;br /&gt;
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* [[Graph traversal]] for graph walking strategies&lt;br /&gt;
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* [[Graph database]] for graph (data structure) persistency&lt;br /&gt;
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* [[Graph rewriting]] for rule based transformations of graphs (graph data structures)&lt;br /&gt;
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* [[Graph drawing software]] for software, systems, and providers of systems for drawing graphs&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）see also记得翻译完全&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）可以看看之前发的链接“集智百科翻译团队新手指南”按着上面的要求再核对一下 比如专业名词标橙 疑难句标绿&lt;br /&gt;
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==References==&lt;br /&gt;
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{{reflist}}&lt;br /&gt;
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==External links==&lt;br /&gt;
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{{Commons category}}&lt;br /&gt;
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*[http://www.boost.org/libs/graph Boost Graph Library: a powerful C++ graph library] s.a. [[Boost (C++ libraries)]]&lt;br /&gt;
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*[https://networkx.github.com/ Networkx: a Python graph library]&lt;br /&gt;
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*[http://www.graphmatcher.com GraphMatcher] a java program to align directed/undirected graphs.&lt;br /&gt;
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*[http://graphblas.org GraphBLAS] A specification for a library interface for operations on graphs, with a particular focus on sparse graphs.&lt;br /&gt;
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{{Graph representations}}&lt;br /&gt;
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{{DEFAULTSORT:Graph (Abstract Data Type)}}&lt;br /&gt;
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[[Category:Graph theory]]&lt;br /&gt;
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Category:Graph theory&lt;br /&gt;
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范畴: 图论&lt;br /&gt;
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[[Category:Graph data structures| ]]&lt;br /&gt;
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Category:Abstract data types&lt;br /&gt;
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类别: 抽象数据类型&lt;br /&gt;
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[[Category:Graphs]]&lt;br /&gt;
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Category:Graphs&lt;br /&gt;
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分类: 图表&lt;br /&gt;
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[[Category:Hypergraphs]]&lt;br /&gt;
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Category:Hypergraphs&lt;br /&gt;
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分类: 超图&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Graph (abstract data type)]]. Its edit history can be viewed at [[图（抽象数据类型）/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%B1%82%E6%AC%A1&amp;diff=12839</id>
		<title>层次</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%B1%82%E6%AC%A1&amp;diff=12839"/>
		<updated>2020-08-18T00:35:10Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。&lt;br /&gt;
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{{Redirect|Subordinate|other uses|Subordination (disambiguation){{!}}Subordination}}&lt;br /&gt;
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{{short description|System of elements that are subordinated to each other}}&lt;br /&gt;
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A '''hierarchy''' (from the [[Ancient Greek|Greek]] ἱεραρχία ''hierarkhia'', &amp;quot;rule of a high priest&amp;quot;, from ''[[ordinary (officer)|hierarkhes]]'', &amp;quot;president of sacred rites&amp;quot;) is an arrangement of items (objects, names, values, categories, etc.) in which the items are represented as being &amp;quot;above&amp;quot;, &amp;quot;below&amp;quot;, or &amp;quot;at the same level as&amp;quot; one another. Hierarchy is an important concept in a wide variety of fields, such as [[philosophy]], [[mathematics]], [[computer science]], [[organizational theory]], [[systems theory]], and the [[social sciences]] (especially [[political philosophy]]).&lt;br /&gt;
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A hierarchy (from the Greek ἱεραρχία hierarkhia, &amp;quot;rule of a high priest&amp;quot;, from hierarkhes, &amp;quot;president of sacred rites&amp;quot;) is an arrangement of items (objects, names, values, categories, etc.) in which the items are represented as being &amp;quot;above&amp;quot;, &amp;quot;below&amp;quot;, or &amp;quot;at the same level as&amp;quot; one another. Hierarchy is an important concept in a wide variety of fields, such as philosophy, mathematics, computer science, organizational theory, systems theory, and the social sciences (especially political philosophy).&lt;br /&gt;
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层级(来自希腊的大祭司的统治，来自大祭司的统治，来自于大祭司的统治，来自于神圣仪式的总统)是一种项目的安排(对象，名字，价值观，类别等等)其中项目表示为“上面”、“下面”或“与其他项目处于同一水平”。等级是一个重要的概念，在各种各样的领域，如哲学，数学，计算机科学，组织行为学，系统理论，和社会科学(特别是政治哲学)。&lt;br /&gt;
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A hierarchy can link entities either directly or indirectly, and either vertically or diagonally. The only direct links in a hierarchy, insofar as they are hierarchical, are to one's immediate superior or to one of one's subordinates, although a system that is largely hierarchical can also incorporate alternative hierarchies. Hierarchical links can extend &amp;quot;vertically&amp;quot; upwards or downwards via multiple links in the same direction, following a [[path (graph theory)|path]]. All parts of the hierarchy that are not linked vertically to one another nevertheless can be &amp;quot;horizontally&amp;quot; linked through a path by traveling up the hierarchy to find a common direct or indirect superior, and then down again. This is akin to two [[co-worker]]s or [[Comrade|colleague]]s; each reports to a common superior, but they have the same relative amount of authority. Organizational forms exist that are both alternative and complementary to hierarchy. [[Heterarchy]] is one such form.&lt;br /&gt;
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A hierarchy can link entities either directly or indirectly, and either vertically or diagonally. The only direct links in a hierarchy, insofar as they are hierarchical, are to one's immediate superior or to one of one's subordinates, although a system that is largely hierarchical can also incorporate alternative hierarchies. Hierarchical links can extend &amp;quot;vertically&amp;quot; upwards or downwards via multiple links in the same direction, following a path. All parts of the hierarchy that are not linked vertically to one another nevertheless can be &amp;quot;horizontally&amp;quot; linked through a path by traveling up the hierarchy to find a common direct or indirect superior, and then down again. This is akin to two co-workers or colleagues; each reports to a common superior, but they have the same relative amount of authority. Organizational forms exist that are both alternative and complementary to hierarchy. Heterarchy is one such form.&lt;br /&gt;
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层次结构可以直接或间接地连接实体，也可以垂直或对角地连接。层次结构中唯一的直接联系，只要它们是等级的，就是与一个人的直接上级或者与一个人的下级的直接联系，尽管一个主要是等级结构的系统也可以包含替代的等级结构。层次链接可以延伸“垂直”向上或向下通过多个链接在同一方向，遵循一个路径。层次结构中没有垂直相连的所有部分都可以通过一条路径“水平”相连，即沿着层次结构向上走，找到一个共同的直接或间接的上级，然后再向下。这类似于两个同事或同事; 每个人向一个共同的上级汇报，但他们拥有相同的相对权限。组织形式的存在是层次结构的替代和补充。异质结构就是这样一种形式。&lt;br /&gt;
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==Nomenclature==&lt;br /&gt;
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{{see also| Glossary of graph theory| Taxonomy (general)| Structure}}&lt;br /&gt;
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Hierarchies have their own special vocabulary. These terms are easiest to understand when a hierarchy is diagrammed (see [[#Visualization|below]]).&lt;br /&gt;
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Hierarchies have their own special vocabulary. These terms are easiest to understand when a hierarchy is diagrammed (see below).&lt;br /&gt;
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等级制度有它们自己特殊的词汇。当层次结构用图表表示时，这些术语最容易理解(见下)。&lt;br /&gt;
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In an organizational context, the following terms are often used related to hierarchies:&amp;lt;ref name=&amp;quot;Dawkins&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;Architecture&amp;quot;/&amp;gt;&lt;br /&gt;
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In an organizational context, the following terms are often used related to hierarchies:&lt;br /&gt;
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在组织环境中，以下术语经常与层次结构相关:&lt;br /&gt;
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* '''[[Non-physical entity|Object]]''': one entity (e.g., a person, department or [[concept]] or element of arrangement or member of a set)&lt;br /&gt;
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* '''[[System]]''': the entire set of objects that are being arranged hierarchically (e.g., an administration)&lt;br /&gt;
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* '''[[Dimension]]''': another word for &amp;quot;system&amp;quot; from on-line analytical processing (e.g. cubes)&lt;br /&gt;
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* '''[[Element (mathematics)|Member]]''': an (element or object) at any (level or rank) in a (class-system, taxonomy or dimension)&lt;br /&gt;
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*'''Terms about Positioning'''&lt;br /&gt;
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**'''[[Ranking|Rank]]''': the relative [[value (ethics)|value]], worth, [[complexity]], [[Power (philosophy)|power]], importance, [[authority]], level etc. of an object&lt;br /&gt;
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**'''[[wikt:level#Noun|Level]] or Tier''': a set of objects with the same rank OR importance&lt;br /&gt;
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**'''[[Order of precedence|Ordering]]''': the arrangement of the (ranks or levels)&lt;br /&gt;
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**'''Hierarchy''': the arrangement of a particular set of members into (ranks or levels). Multiple hierarchies are possible per (dimension taxonomy or Classification-system), in which selected levels of the dimension are omitted to flatten the structure&lt;br /&gt;
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*'''Terms about Placement'''&lt;br /&gt;
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**'''[[wikt:hierarch|Hierarch]]''', the apex of the hierarchy, consisting of one single orphan (object or member) in the top level of a dimension. The root of an inverted-tree structure&lt;br /&gt;
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**'''[[wikt:member|Member]]''', a (member or node) in any level of a hierarchy in a dimension to which (superior and subordinate) members are attached &lt;br /&gt;
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**'''[[wikt:orphan|Orphan]]''', a member in any level of a dimension without a parent member. Often the apex of a disconnected branch. Orphans can be grafted back into the hierarchy by creating a relationship (interaction) with a parent in the immediately superior level&lt;br /&gt;
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**'''[[wikt:leaf|Leaf]]''', a member in any level of a dimension without subordinates in the hierarchy&lt;br /&gt;
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**'''[[wikt:neighbour|Neighbour]]''': a member adjacent to another member in the same (level or rank). Always a peer.&lt;br /&gt;
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**'''[[Superior (hierarchy)|Superior]]''': a higher level or an object ranked at a higher level (A parent or an ancestor)&lt;br /&gt;
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**'''[[wikt:subordinate|Subordinate]]''': a lower level or an object ranked at a lower level (A child or a descendant)&lt;br /&gt;
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** '''[[Family of sets|Collection]]''': all of the objects at one level (i.e. Peers)&lt;br /&gt;
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** '''[[wikt:peer|Peer]]''': an object with the same rank (and therefore at the same level)&lt;br /&gt;
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** '''[[Interpersonal relationship|Interaction]]''': the relationship between an object and its direct superior or subordinate (i.e. a superior/inferior pair)&lt;br /&gt;
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*** a '''direct''' interaction occurs when one object is on a level exactly one higher or one lower than the other (i.e., on a [[tree (graph theory)|tree]], the two objects have a line between them)&lt;br /&gt;
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** '''[[Distance (graph theory)|Distance]]''': the minimum number of connections between two objects, i.e., one less than the number of objects that need to be &amp;quot;crossed&amp;quot; to trace a [[path (graph theory)|path]] from one object to another&lt;br /&gt;
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** '''[[wikt:Span|Span]]''': a [[qualitative data|qualitative]] description of the width of a level when diagrammed, i.e., the number of subordinates an object has&lt;br /&gt;
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*'''Terms about Nature'''&lt;br /&gt;
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** '''[[wikt:attribute|Attribute]]''': a heritable characteristic of (members and their subordinates) in a level (e.g. ''hair-colour'')&lt;br /&gt;
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** '''[[wikt:attribute-value|Attribute-value]]''': the specific value of a heritable characteristic (e.g. ''Auburn'')&lt;br /&gt;
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In a mathematical context (in [[graph theory]]), the [[Glossary of graph theory|general terminology]] used is different.&lt;br /&gt;
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In a mathematical context (in graph theory), the general terminology used is different.&lt;br /&gt;
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在数学上下文中(在图论中) ，使用的一般术语是不同的。&lt;br /&gt;
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Most hierarchies use a more specific vocabulary pertaining to their subject, but the idea behind them is the same. For example, with [[data structure]]s, objects are known as [[node (computer science)|nodes]], superiors are called [[parent node|parents]] and subordinates are called [[child node|children]]. In a business setting, a superior is a [[supervisor|supervisor/boss]] and a peer is a [[Comrade|colleague]].&lt;br /&gt;
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Most hierarchies use a more specific vocabulary pertaining to their subject, but the idea behind them is the same. For example, with data structures, objects are known as nodes, superiors are called parents and subordinates are called children. In a business setting, a superior is a supervisor/boss and a peer is a colleague.&lt;br /&gt;
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大多数层次结构使用更具体的与其主题相关的词汇表，但其背后的思想是相同的。例如，对于数据结构，对象称为节点，上级称为父级，下级称为子级。在商业环境中，上司是主管/老板，同事是同事。&lt;br /&gt;
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===Degree of branching &amp;lt;span id=&amp;quot;Terminology&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;===&lt;br /&gt;
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[[Degree (graph theory)|Degree]] of [[Bifurcation theory|branching]] refers to the number of direct [[#Terminology|subordinates]] or children an object has (in graph theory, equivalent to the number of other [[vertex (graph theory)|vertices]] connected to via outgoing arcs, in a directed graph) a node has. Hierarchies can be categorized based on the &amp;quot;maximum degree&amp;quot;, the highest degree present in the system as a whole. Categorization in this way yields two broad classes: ''linear'' and ''branching''.&lt;br /&gt;
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Degree of branching refers to the number of direct subordinates or children an object has (in graph theory, equivalent to the number of other vertices connected to via outgoing arcs, in a directed graph) a node has. Hierarchies can be categorized based on the &amp;quot;maximum degree&amp;quot;, the highest degree present in the system as a whole. Categorization in this way yields two broad classes: linear and branching.&lt;br /&gt;
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分支度是指一个对象有多少个直接的下级或子级(在图论中，相当于一个有向图中通过外向弧连接的其他顶点的数量)。层次结构可以根据“最大程度”进行分类，这是整个系统中存在的最高程度。以这种方式进行分类可以得到两大类: 线性和分支。&lt;br /&gt;
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In a '''linear hierarchy'''&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt;, the maximum degree is 1.&amp;lt;ref name=&amp;quot;Dawkins&amp;quot;/&amp;gt; In other words, all of the objects can be visualized in a line-up, and each object (excluding the top and bottom ones) has exactly one direct subordinate and one direct superior. Note that this is referring to the ''objects'' and not the ''levels''; every hierarchy has this property with respect to levels, but normally each level can have an infinite number of objects. An example of a linear hierarchy is the [[hierarchy of life]].&lt;br /&gt;
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In a linear hierarchy&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt;, the maximum degree is 1. In other words, all of the objects can be visualized in a line-up, and each object (excluding the top and bottom ones) has exactly one direct subordinate and one direct superior. Note that this is referring to the objects and not the levels; every hierarchy has this property with respect to levels, but normally each level can have an infinite number of objects. An example of a linear hierarchy is the hierarchy of life.&lt;br /&gt;
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在一个线性层次结构中，按 wp: r # pla，这应该是粗体 &amp;gt; ，最大程度是1。换句话说，所有的对象都可以在一个列表中可视化，每个对象(不包括顶部和底部的对象)只有一个直接下属和一个直接上级。注意，这指的是对象而不是级别; 每个层次结构对于级别都有这个属性，但通常每个级别可以有无限个对象。线性等级的一个例子是生命的等级。&lt;br /&gt;
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In a '''branching hierarchy'''&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt;, one or more objects has a degree of 2 or more (and therefore the minimum degree is 2 or higher).&amp;lt;ref name=&amp;quot;Dawkins&amp;quot;/&amp;gt; For many people, the word &amp;quot;hierarchy&amp;quot; automatically evokes an image of a branching hierarchy.&amp;lt;ref name=&amp;quot;Dawkins&amp;quot;/&amp;gt; Branching hierarchies are present within numerous systems, including [[organization]]s and [[classification scheme]]s. The broad category of branching hierarchies can be further subdivided based on the degree.&lt;br /&gt;
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In a branching hierarchy&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt;, one or more objects has a degree of 2 or more (and therefore the minimum degree is 2 or higher). For many people, the word &amp;quot;hierarchy&amp;quot; automatically evokes an image of a branching hierarchy. Branching hierarchies are present within numerous systems, including organizations and classification schemes. The broad category of branching hierarchies can be further subdivided based on the degree.&lt;br /&gt;
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在一个分支层次结构中，按照 wp: r # pla，这应该是粗体 &amp;gt; ，一个或多个对象具有2或更高的度(因此最小度为2或更高)。对于许多人来说，“层次”这个词自动唤起了分支层次结构的想象。分支层次结构存在于许多系统中，包括组织和分类方案。分支层次的广义范畴可以根据程度进一步细分。&lt;br /&gt;
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A '''flat hierarchy'''&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt; is a branching hierarchy in which the maximum degree approaches infinity, i.e., that has a wide span.&amp;lt;ref name=&amp;quot;Architecture&amp;quot;&amp;gt;{{cite journal|last=Simon|first=Herbert A.|title=The Architecture of Complexity|journal=[[Proc. Am. Philos. Soc.]]|volume=106|issue=6|date=12 December 1962|pages=467–482|publisher=[[American Philosophical Society]]|issn=0003-049X|location=Philadelphia, Pennsylvania |jstor=985254 |citeseerx=10.1.1.110.961}}{{registration required}}&amp;lt;/ref&amp;gt; Most often, systems intuitively regarded as hierarchical have at most a moderate span. Therefore, a flat hierarchy is often not viewed as a hierarchy at all. For example, [[diamond]]s and [[graphite]] are flat hierarchies of numerous [[carbon]] atoms that can be further decomposed into subatomic particles.&lt;br /&gt;
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A flat hierarchy&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt; is a branching hierarchy in which the maximum degree approaches infinity, i.e., that has a wide span. Most often, systems intuitively regarded as hierarchical have at most a moderate span. Therefore, a flat hierarchy is often not viewed as a hierarchy at all. For example, diamonds and graphite are flat hierarchies of numerous carbon atoms that can be further decomposed into subatomic particles.&lt;br /&gt;
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按照 wp: r # pla，这应该是粗体的扁平层次结构 &amp;lt; ! ! -- 是一个分支层次结构，其中最大度接近无穷大，也就是说，它的跨度很大。最常见的情况是，直观上被认为是分层的系统最多只有一个中等的跨度。因此，平面层次结构通常根本不被视为层次结构。例如，钻石和石墨是由许多碳原子组成的扁平层次结构，这些碳原子可以进一步分解成亚原子粒子。&lt;br /&gt;
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An '''overlapping hierarchy'''&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt; is a branching hierarchy in which at least one object has two parent objects.&amp;lt;ref name=&amp;quot;Dawkins&amp;quot;/&amp;gt; For example, a [[graduate student]] can have two [[research supervisor|co-supervisors]] to whom the student reports directly and equally, and who have the same level of authority within the [[university]] hierarchy (i.e., they have the same [[list of academic ranks|position]] or [[tenure]] status).&lt;br /&gt;
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An overlapping hierarchy&amp;lt;!--per WP:R#PLA, this SHOULD be bold--&amp;gt; is a branching hierarchy in which at least one object has two parent objects. For example, a graduate student can have two co-supervisors to whom the student reports directly and equally, and who have the same level of authority within the university hierarchy (i.e., they have the same position or tenure status).&lt;br /&gt;
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重叠的层次结构 &amp;lt; ! -- 按照 wp: r # pla，这应该是粗体 -- &amp;gt; 是一个分支层次结构，其中至少有一个对象具有两个父对象。例如，一个研究生可以有两个联合主管，学生可以直接和平等地向他们汇报工作，而且他们在大学等级制度中的权力水平相同(即，他们拥有相同的职位或终身职位)。&lt;br /&gt;
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==History of the term==&lt;br /&gt;
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Possibly the first use of the English word &amp;quot;hierarchy&amp;quot; cited by the ''[[Oxford English Dictionary]]'' was in 1881, when it was used in reference to the three orders of three angels as depicted by [[Pseudo-Dionysius the Areopagite]] (5th–6th centuries). Pseudo-Dionysius used the related [[Ancient Greek|Greek]] word (ἱεραρχία ''hierarchia'') both in reference to the [[De Coelesti Hierarchia|celestial hierarchy]] and the [[ecclesiastical hierarchy]].&amp;lt;ref&amp;gt;[http://www.newadvent.org/cathen/07322c.htm CATHOLIC ENCYCLOPEDIA: Hierarchy&amp;lt;!-- Bot generated title --&amp;gt;]&amp;lt;/ref&amp;gt; The Greek term ἱεραρχία means &amp;quot;rule of a high priest&amp;quot;&amp;lt;ref&amp;gt;[https://www.etymonline.com/word/hierarchy &amp;quot;hierarchy&amp;quot;]. [[Online Etymology Dictionary]].&amp;lt;/ref&amp;gt; (from ἱεράρχης ''hierarches'', meaning &amp;quot;president of sacred rites, high-priest&amp;quot;&amp;lt;ref&amp;gt;[http://www.perseus.tufts.edu/hopper/text?doc=Perseus%3Atext%3A1999.04.0057%3Aentry%3Di%28era%2Frxhs ἱεράρχης],&lt;br /&gt;
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Possibly the first use of the English word &amp;quot;hierarchy&amp;quot; cited by the Oxford English Dictionary was in 1881, when it was used in reference to the three orders of three angels as depicted by Pseudo-Dionysius the Areopagite (5th–6th centuries). Pseudo-Dionysius used the related Greek word (ἱεραρχία hierarchia) both in reference to the celestial hierarchy and the ecclesiastical hierarchy. The Greek term ἱεραρχία means &amp;quot;rule of a high priest&amp;quot; (from ἱεράρχης hierarches, meaning &amp;quot;president of sacred rites, high-priest&amp;quot;&amp;lt;ref&amp;gt;[http://www.perseus.tufts.edu/hopper/text?doc=Perseus%3Atext%3A1999.04.0057%3Aentry%3Di%28era%2Frxhs ἱεράρχης],&lt;br /&gt;
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牛津英语词典引用的英语单词“等级”的第一次使用可能是在1881年，当时它被用来指伪狄奥尼修斯(5-6世纪)所描述的3个3级天使。伪狄奥尼修斯使用了相关的希腊词汇(something hierarchy)来指代天界等级和教会等级。希腊语“ something”的意思是“大祭司的统治”(来自于 http://www.perseus.tufts.edu/hopper/text?doc=perseus%3atext%3a1999.04.0057%3aentry%3di%28era%2frxhs  ，意思是“大祭司的神圣仪式的主席”),&lt;br /&gt;
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Henry George Liddell, Robert Scott, ''A Greek-English Lexicon'', on Perseus Digital Library&amp;lt;/ref&amp;gt; and that from ἱερεύς ''hiereus'', &amp;quot;priest&amp;quot;&amp;lt;ref&amp;gt;[http://www.perseus.tufts.edu/hopper/text?doc=Perseus%3Atext%3A1999.04.0057%3Aentry%3Di%28ereu%2Fs ἱερεύς], Henry George Liddell, Robert Scott, ''A Greek-English Lexicon'', on Perseus Digital Library&amp;lt;/ref&amp;gt; and ἀρχή ''arche'', amongst others &amp;quot;first place or power, rule&amp;quot;&amp;lt;ref&amp;gt;[http://www.perseus.tufts.edu/hopper/text?doc=Perseus%3Atext%3A1999.04.0057%3Aentry%3Da%29rxh%2F ἀρχή], Henry George Liddell, Robert Scott, ''A Greek-English Lexicon'', on Perseus Digital Library&amp;lt;/ref&amp;gt;), and Dionysius is credited with first use of it as an abstract noun. Since hierarchical churches, such as the [[Roman Catholicism|Roman Catholic]] (see [[Catholic Church hierarchy]]) and [[Eastern Orthodoxy|Eastern Orthodox]] churches, had tables of organization that were &amp;quot;hierarchical&amp;quot; in the modern sense of the word (traditionally with [[God in Christianity|God]] as the pinnacle or head of the hierarchy), the term came to refer to similar organizational methods in [[secular]] settings.&lt;br /&gt;
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Henry George Liddell, Robert Scott, A Greek-English Lexicon, on Perseus Digital Library&amp;lt;/ref&amp;gt; and that from ἱερεύς hiereus, &amp;quot;priest&amp;quot; and ἀρχή arche, amongst others &amp;quot;first place or power, rule&amp;quot;), and Dionysius is credited with first use of it as an abstract noun. Since hierarchical churches, such as the Roman Catholic (see Catholic Church hierarchy) and Eastern Orthodox churches, had tables of organization that were &amp;quot;hierarchical&amp;quot; in the modern sense of the word (traditionally with God as the pinnacle or head of the hierarchy), the term came to refer to similar organizational methods in secular settings.&lt;br /&gt;
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亨利·乔治·李道尔，Robert Scott，希腊语－英语词典，关于珀尔修斯数字图书馆 &amp;lt;/ref &amp;gt; 和那从 something 希雷斯，“牧师”和 something arche，其中包括“第一位置或权力，规则”) ，和 Dionysius 被记入第一次使用它作为抽象名词。由于等级制教会，如罗马天主教(见天主教会圣统制)和东正教教堂，有组织表是“等级”的现代意义上的话(传统上上帝作为顶峰或领导的等级) ，这个术语来指类似的组织方法在世俗的设置。&lt;br /&gt;
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=={{anchor|hierachy}}Visually representing hierarchies==&amp;lt;!--if you change this section's title, please also change the wikilinks throughout the article that link to it! --&amp;gt;&lt;br /&gt;
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==Visually representing hierarchies==&amp;lt;!--if you change this section's title, please also change the wikilinks throughout the article that link to it! --&amp;gt;&lt;br /&gt;
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= = = 视觉表现层次结构 = = = &amp;lt; ! -- 如果你更改这个部分的标题，请也更改文章中链接到它的 wikileink！--&amp;gt;&lt;br /&gt;
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[[File:Maslow's hierarchy of needs.png|thumb|right|200px|[[Maslow's hierarchy of needs|Maslow's hierarchy of human needs]]. This is an example of a hierarchy visualized with a triangle diagram.]]&lt;br /&gt;
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Maslow's hierarchy of human needs. This is an example of a hierarchy visualized with a triangle diagram.]]&lt;br /&gt;
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马斯洛的人类需求层次理论。这是一个用三角形图表可视化的层次结构的例子。]&lt;br /&gt;
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A hierarchy is typically depicted as a [[pyramid (geometry)|pyramid]], where the height of a level represents that level's status and width of a level represents the quantity of items at that level relative to the whole.&amp;lt;ref&amp;gt;{{cite book | title=Regions of War and Peace | publisher=University of Cambridge | author=Douglas Lemke | year=2002 | location=Cambridge | pages=49}}&amp;lt;/ref&amp;gt; For example, the few [[Board of Directors|Directors]] of a company could be at the [[apex (geometry)|apex]], and the [[Base (geometry)|base]] could be thousands of people who have no subordinates.&lt;br /&gt;
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A hierarchy is typically depicted as a pyramid, where the height of a level represents that level's status and width of a level represents the quantity of items at that level relative to the whole. For example, the few Directors of a company could be at the apex, and the base could be thousands of people who have no subordinates.&lt;br /&gt;
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层次结构通常被描述为一个金字塔，其中一个层次的高度代表该层次的状态，而一个层次的宽度代表该层次相对于整体的物品数量。例如，一个公司的少数几个董事可能处于顶峰，而基层可能是成千上万没有下属的人。&lt;br /&gt;
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These pyramids are typically diagrammed with a [[tree structure|tree]] or [[triangle]] [[diagram]] (but note that not all triangle/pyramid diagrams are hierarchical; for example, the 1992 [[History of USDA nutrition guides#Food Guide Pyramid|USDA food guide pyramid]]), both of which serve to emphasize the size differences between the levels. An example of a triangle diagram appears to the right. An [[organizational chart]] is the diagram of a hierarchy within an [[organization]], and is depicted in tree form in {{section link|#Organizations}}, below.&lt;br /&gt;
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These pyramids are typically diagrammed with a tree or triangle diagram (but note that not all triangle/pyramid diagrams are hierarchical; for example, the 1992 USDA food guide pyramid), both of which serve to emphasize the size differences between the levels. An example of a triangle diagram appears to the right. An organizational chart is the diagram of a hierarchy within an organization, and is depicted in tree form in , below.&lt;br /&gt;
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这些金字塔通常用树形或三角形图表绘制(但请注意，并非所有的三角形/金字塔图表都是层次分明的; 例如，1992年美国农业部食品指南金字塔) ，这两种图表都强调了各层次之间的大小差异。一个三角形图表的例子出现在右边。组织结构图是组织内部层次结构的图表，在下面的树形图中有所描述。&lt;br /&gt;
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More recently, as computers have allowed the storage and navigation of ever larger data sets, various methods have been developed to represent hierarchies in a manner that makes more efficient use of the available space on a computer's screen. Examples include [[fractal]] maps, [[treemapping|TreeMaps]] and [[Radial tree|Radial Trees]].&lt;br /&gt;
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More recently, as computers have allowed the storage and navigation of ever larger data sets, various methods have been developed to represent hierarchies in a manner that makes more efficient use of the available space on a computer's screen. Examples include fractal maps, TreeMaps and Radial Trees.&lt;br /&gt;
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最近，随着计算机允许存储和导航越来越大的数据集，各种方法被开发出来表示层次结构，以便更有效地利用计算机屏幕上的可用空间。例如分形图、树形图和辐射状树。&lt;br /&gt;
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==Visual hierarchy==&lt;br /&gt;
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In the design field, mainly graphic design, successful layouts and formatting of the content on documents are heavily dependent on the rules of [[visual hierarchy]]. Visual hierarchy is also important for proper organization of files on computers.&lt;br /&gt;
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In the design field, mainly graphic design, successful layouts and formatting of the content on documents are heavily dependent on the rules of visual hierarchy. Visual hierarchy is also important for proper organization of files on computers.&lt;br /&gt;
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在设计领域，主要是平面设计，文档内容的成功布局和格式化在很大程度上依赖于视觉层次规则。视觉层次对于正确组织计算机上的文件也很重要。&lt;br /&gt;
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An example of visually representing hierarchy is through the Nested clusters. The Nested clusters represents hierarchical relationships by using layers of information. The child element is within the parent element, such as in a [[Venn diagram]]. This structure of representing hierarchy is most effective in representing simple relationships. For example, when directing someone to open a file on a computer desktop, one may first direct them towards the main folder, then the subfolders within the main folder. They will keep opening files within the folders until the designated file is located.&lt;br /&gt;
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An example of visually representing hierarchy is through the Nested clusters. The Nested clusters represents hierarchical relationships by using layers of information. The child element is within the parent element, such as in a Venn diagram. This structure of representing hierarchy is most effective in representing simple relationships. For example, when directing someone to open a file on a computer desktop, one may first direct them towards the main folder, then the subfolders within the main folder. They will keep opening files within the folders until the designated file is located.&lt;br /&gt;
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可视化表示层次结构的一个示例是通过嵌套集群。嵌套集群通过使用信息层表示层次关系。子元素位于父元素中，例如在 Venn 图中。这种表示层次结构的结构在表示简单关系时最为有效。例如，当指示某人在计算机桌面上打开一个文件时，可以首先将他们指向主文件夹，然后是主文件夹中的子文件夹。他们会一直打开文件夹中的文件，直到找到指定的文件。&lt;br /&gt;
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For more complicated hierarchies, the stair structure represents hierarchical relationships through the use of visual stacking. Visually imagine the top of a downward staircase beginning at the left and descending on the right. The child elements are towards the bottom of the stairs and the parent elements are at the top. This structure is effective when representing more complicated hierarchies where steps are not placed in obvious sequences. Further steps are concealed unless all of the steps are revealed in sequence. In the computer desktop example, a file that is being sought after can only be found once another file is opened. The link for the desired file is within another document. All the steps must be completed until the final destination is reached.&lt;br /&gt;
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For more complicated hierarchies, the stair structure represents hierarchical relationships through the use of visual stacking. Visually imagine the top of a downward staircase beginning at the left and descending on the right. The child elements are towards the bottom of the stairs and the parent elements are at the top. This structure is effective when representing more complicated hierarchies where steps are not placed in obvious sequences. Further steps are concealed unless all of the steps are revealed in sequence. In the computer desktop example, a file that is being sought after can only be found once another file is opened. The link for the desired file is within another document. All the steps must be completed until the final destination is reached.&lt;br /&gt;
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对于更复杂的层次结构，楼梯结构通过使用可视化堆叠表示层次关系。从视觉上想象一下下楼梯的顶部，从左边开始，从右边下楼。子元素位于楼梯的底部，父元素位于顶部。当表示更复杂的层次结构时，这种结构非常有效，因为这些步骤没有放置在明显的序列中。进一步的步骤是隐藏的，除非所有的步骤是按顺序显示。在计算机桌面示例中，只有在打开另一个文件时才能找到正在寻找的文件。所需文件的链接位于另一个文档中。所有步骤都必须完成，直到到达最终目的地。&lt;br /&gt;
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==Informal representation==&lt;br /&gt;
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In plain English, a hierarchy can be thought of as a [[Set (mathematics)|set]] in which:&amp;lt;ref name=&amp;quot;Dawkins&amp;quot;&amp;gt;{{cite conference|last=Dawkins|first=Richard|authorlink=Richard Dawkins|title=Hierarchical organization: a candidate principle for ethology|conference=Growing points in ethology: based on a conference sponsored by St. John's College and King's College, Cambridge|editor1=Bateson, Paul Patrick Gordon |editor2=Hinde, Robert A.|year=1976|publisher=Cambridge University Press|location=Cambridge, England|isbn=0-521-29086-4|pages=7–54}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In plain English, a hierarchy can be thought of as a set in which:&lt;br /&gt;
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在简单的英语中，层次可以被看作是一个集合，其中:&lt;br /&gt;
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# No element is superior to itself, and&lt;br /&gt;
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 No element is superior to itself, and&lt;br /&gt;
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任何元素都不优于其本身，并且&lt;br /&gt;
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# One element, the ''hierarch'', is superior to all of the other elements in the set.&lt;br /&gt;
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 One element, the hierarch, is superior to all of the other elements in the set.&lt;br /&gt;
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其中一个元素，大师，优于集合中的所有其他元素。&lt;br /&gt;
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The first requirement is also interpreted to mean that a hierarchy can have no [[Cycle (graph theory)|circular relationships]]; the association between two objects is always [[Transitive relation|transitive]].&lt;br /&gt;
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The first requirement is also interpreted to mean that a hierarchy can have no circular relationships; the association between two objects is always transitive.&lt;br /&gt;
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第一个需求也被解释为层次结构不能有循环关系; 两个对象之间的关联总是可传递的。&lt;br /&gt;
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The second requirement asserts that a hierarchy must have a leader or [[root node|root]] that is common to all of the objects.&lt;br /&gt;
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The second requirement asserts that a hierarchy must have a leader or root that is common to all of the objects.&lt;br /&gt;
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第二个需求断言层次结构必须具有所有对象共有的领导者或根。&lt;br /&gt;
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==Mathematical representation==&lt;br /&gt;
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{{Main|Hierarchy (mathematics)}}&lt;br /&gt;
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Mathematically, in its most general form, a hierarchy is a [[partially ordered set]] or ''poset''.&amp;lt;ref name=&amp;quot;Lehmann&amp;quot;&amp;gt;{{cite conference|last=Lehmann|first=Fritz|title=Big Posets of Participatings and Thematic Roles|pages=50–74|conference=Conceptual structures: knowledge representation as interlingua—4th International Conference on Conceptual Structures, ICCS '96, Sydney, Australia, August 19–22, 1996—proceedings&lt;br /&gt;
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Mathematically, in its most general form, a hierarchy is a partially ordered set or poset.&amp;lt;ref name=&amp;quot;Lehmann&amp;quot;&amp;gt;{{cite conference|last=Lehmann|first=Fritz|title=Big Posets of Participatings and Thematic Roles|pages=50–74|conference=Conceptual structures: knowledge representation as interlingua—4th International Conference on Conceptual Structures, ICCS '96, Sydney, Australia, August 19–22, 1996—proceedings&lt;br /&gt;
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在数学上，从最一般的形式来看，层次结构是一个偏序集或偏序集。1996年8月19日至22日，在澳大利亚悉尼举行的第四届国际概念结构会议ー会议录&lt;br /&gt;
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|isbn=3-540-61534-2|year=1996|publisher=Springer|editor-last=Eklund|editor-first=Peter G.|editor2-last=Ellis|editor2-first=Gerard|editor3-last=Mann|editor3-first=Graham|series=Lecture Notes in Artificial Intelligence 115|location=Germany}}&amp;lt;/ref&amp;gt; The [[#Terminology|system]] in this case is the entire poset, which is constituted of elements. Within this system, each element shares a particular unambiguous property. Objects with the same property value are grouped together, and each of those resulting [[#Terminology|levels]] is referred to as a [[class (set theory)|class]].&lt;br /&gt;
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|isbn=3-540-61534-2|year=1996|publisher=Springer|editor-last=Eklund|editor-first=Peter G.|editor2-last=Ellis|editor2-first=Gerard|editor3-last=Mann|editor3-first=Graham|series=Lecture Notes in Artificial Intelligence 115|location=Germany}}&amp;lt;/ref&amp;gt; The system in this case is the entire poset, which is constituted of elements. Within this system, each element shares a particular unambiguous property. Objects with the same property value are grouped together, and each of those resulting levels is referred to as a class.&lt;br /&gt;
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[参考译文]本例中的系统是由元素组成的整个波集。在这个系统中，每个元素都具有一个明确的特性。具有相同属性值的对象组合在一起，每个产生的级别都称为类。&lt;br /&gt;
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&amp;quot;Hierarchy&amp;quot; is particularly used to refer to a poset in which the classes are organized in terms of increasing complexity. &amp;lt;!--Mathematically, a hierarchy can be depicted as a [[combinatorial]] [[object]].--&amp;gt;&lt;br /&gt;
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&amp;quot;Hierarchy&amp;quot; is particularly used to refer to a poset in which the classes are organized in terms of increasing complexity. &amp;lt;!--Mathematically, a hierarchy can be depicted as a combinatorial object.--&amp;gt;&lt;br /&gt;
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“层次结构”特别用来指按照不断增加的复杂性来组织类的偏序集。&amp;lt; ! ——从数学上讲，等级可以被描述为一个组合对象。 -- &amp;gt; &lt;br /&gt;
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Operations such as addition, subtraction, multiplication and division are often performed in a certain sequence or order. Usually, addition and subtraction are performed after multiplication and division has already been applied to a problem. The use of parenthesis is also a representation of hierarchy, for they show which operation is to be done prior to the following ones. For example:&lt;br /&gt;
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Operations such as addition, subtraction, multiplication and division are often performed in a certain sequence or order. Usually, addition and subtraction are performed after multiplication and division has already been applied to a problem. The use of parenthesis is also a representation of hierarchy, for they show which operation is to be done prior to the following ones. For example:&lt;br /&gt;
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诸如加、减、乘、除等运算通常是按照一定的顺序进行的。通常，加法和减法是在乘法和除法已经应用到一个问题之后进行的。圆括号的使用也是层次结构的一种表示，因为它们显示了在下列操作之前要完成的操作。例如:&lt;br /&gt;
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(2 + 5) × (7 - 4).&lt;br /&gt;
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(2 + 5) × (7 - 4).&lt;br /&gt;
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(2 + 5) × (7 - 4).&lt;br /&gt;
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In this problem, typically one would multiply 5 by 7 first, based on the rules of mathematical hierarchy. But when the parentheses are placed, one will know to do the operations within the parentheses first before continuing on with the problem. These rules are largely dominant in algebraic problems, ones that include several steps to solve. The use of hierarchy in mathematics is beneficial to quickly and efficiently solve a problem without having to go through the process of slowly dissecting the problem. Most of these rules are now known as the proper way into solving certain equations.&lt;br /&gt;
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In this problem, typically one would multiply 5 by 7 first, based on the rules of mathematical hierarchy. But when the parentheses are placed, one will know to do the operations within the parentheses first before continuing on with the problem. These rules are largely dominant in algebraic problems, ones that include several steps to solve. The use of hierarchy in mathematics is beneficial to quickly and efficiently solve a problem without having to go through the process of slowly dissecting the problem. Most of these rules are now known as the proper way into solving certain equations.&lt;br /&gt;
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在这个问题中，根据数学层次规则，一个人通常会先乘以5乘以7。但是当放置括号时，人们会知道在继续处理问题之前先在括号内做操作。这些规则在代数问题中占主导地位，这些问题包括需要解决的几个步骤。在数学中使用层次结构有利于快速有效地解决问题，而不必经历慢慢剖析问题的过程。这些规则中的大多数现在被认为是解决某些方程的正确方法。&lt;br /&gt;
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==Subtypes==&lt;br /&gt;
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===Nested hierarchy===&amp;lt;!--if you change this title, change the wiki links within the article that link to it!--&amp;gt;&lt;br /&gt;
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===Nested hierarchy===&amp;lt;!--if you change this title, change the wiki links within the article that link to it!--&amp;gt;&lt;br /&gt;
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= = = 嵌套层次结构 = = = = &amp;lt; ! -- 如果您更改此标题，请更改链接到该标题的文章中的 wiki 链接! -- &amp;gt; &lt;br /&gt;
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[[File:Russian-Matroshka no bg.jpg|200px|right|thumb|[[Matryoshka doll]]s, also known as ''nesting dolls'' or ''Russian dolls''. Each doll is encompassed inside another until the smallest one is reached. This is the concept of ''nesting''. When the concept is applied to [[set (mathematics)|sets]], the resulting ordering is a ''nested hierarchy''.]]&lt;br /&gt;
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[[Matryoshka dolls, also known as nesting dolls or Russian dolls. Each doll is encompassed inside another until the smallest one is reached. This is the concept of nesting. When the concept is applied to sets, the resulting ordering is a nested hierarchy.]]&lt;br /&gt;
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[俄罗斯套娃，又称嵌套娃娃或俄罗斯套娃。每个洋娃娃都被包裹在另一个洋娃娃里面，直到最小的洋娃娃被够到。这就是嵌套的概念。当这个概念应用于集合时，结果排序是一个嵌套的层次结构。]]&lt;br /&gt;
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A nested hierarchy or ''inclusion hierarchy'' is a hierarchical ordering of [[nested set]]s.&amp;lt;ref name=&amp;quot;natsocsci-ch4&amp;quot;&amp;gt;{{cite encyclopedia|title=Hierarchy, Complexity, Society|last=Lane|first=David|pages=81–120|encyclopedia=Hierarchy in Natural and Social Sciences|editor=Pumain, Denise|publisher=[[Springer-Verlag]]|location=New York, New York|year=2006|isbn=978-1-4020-4126-6}}&amp;lt;/ref&amp;gt; The concept of nesting is exemplified in Russian [[matryoshka doll]]s. Each doll is encompassed by another doll, all the way to the outer doll. The outer doll holds all of the inner dolls, the next outer doll holds all the remaining inner dolls, and so on. Matryoshkas represent a nested hierarchy where each level contains only one object, i.e., there is only one of each size of doll; a generalized nested hierarchy allows for multiple objects within levels but with each object having only one parent at each level. The general concept is both demonstrated and mathematically formulated in the following example:&lt;br /&gt;
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A nested hierarchy or inclusion hierarchy is a hierarchical ordering of nested sets. The concept of nesting is exemplified in Russian matryoshka dolls. Each doll is encompassed by another doll, all the way to the outer doll. The outer doll holds all of the inner dolls, the next outer doll holds all the remaining inner dolls, and so on. Matryoshkas represent a nested hierarchy where each level contains only one object, i.e., there is only one of each size of doll; a generalized nested hierarchy allows for multiple objects within levels but with each object having only one parent at each level. The general concept is both demonstrated and mathematically formulated in the following example:&lt;br /&gt;
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嵌套层次结构或包含层次结构是嵌套集的层次结构排序。嵌套的概念在俄罗斯套娃中得到了体现。每个娃娃都被另一个娃娃包围着，一直到外面的娃娃。外部的玩偶包含所有的内部玩偶，下一个外部的玩偶包含所有剩余的内部玩偶，等等。表示一个嵌套层次结构，其中每个层次只包含一个对象，也就是说，每个娃娃的大小只有一个; 一个广义的嵌套层次结构允许在层次中有多个对象，但每个对象在每个层次上只有一个父对象。一般概念在下面的例子中得到了证明和数学上的表述:&lt;br /&gt;
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: &amp;lt;math&amp;gt; \text{square} \subset \text{quadrilateral} \subset \text{polygon} \subset \text{shape} \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; \text{square} \subset \text{quadrilateral} \subset \text{polygon} \subset \text{shape} \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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如果你想知道更多的信息，请访问我的网站&lt;br /&gt;
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A square can always also be referred to as a quadrilateral, polygon or shape. In this way, it is a hierarchy. However, consider the set of polygons using this classification. A square can ''only'' be a quadrilateral; it can never be a [[triangle]], [[hexagon]], etc.&lt;br /&gt;
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A square can always also be referred to as a quadrilateral, polygon or shape. In this way, it is a hierarchy. However, consider the set of polygons using this classification. A square can only be a quadrilateral; it can never be a triangle, hexagon, etc.&lt;br /&gt;
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正方形也可以称为四边形、多边形或形状。这样看来，它是一个等级制度。但是，请考虑使用这种分类的多边形集。正方形只能是四边形，不能是三角形、六边形等等。&lt;br /&gt;
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Nested hierarchies are the organizational schemes behind [[Taxonomy (general)|taxonomies]] and systematic classifications. For example, using the original [[Linnaean taxonomy]] (the version he laid out in the 10th edition of ''[[Systema Naturae]]''), a human can be formulated as:&amp;lt;ref&amp;gt;{{cite book|title=Systema naturae per regna tria naturae :secundum classes, ordines, genera, species, cum characteribus, differentiis, synonymis, locis|last=Linnaei|first=Carl von|authorlink=Carl Linnaeus|year=1959|edition=10th|language=Latin|url=https://www.biodiversitylibrary.org/bibliography/542#|location=[[Stockholm]]|publisher=Impensis Direct|isbn=0-665-53008-0|accessdate=2011-09-24}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Nested hierarchies are the organizational schemes behind taxonomies and systematic classifications. For example, using the original Linnaean taxonomy (the version he laid out in the 10th edition of Systema Naturae), a human can be formulated as:&lt;br /&gt;
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嵌套的层次结构是分类法和系统分类法背后的组织方案。例如，使用最初的林奈分类法(他在《自然系统》第10版中列出的版本) ，人类可以被规划为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\text{H. sapiens} \subset \text{Homo} \subset \text{Primates} \subset \text{Mammalia} \subset \text{Animalia}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\text{H. sapiens} \subset \text{Homo} \subset \text{Primates} \subset \text{Mammalia} \subset \text{Animalia}&amp;lt;/math&amp;gt;&lt;br /&gt;
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如果你想知道更多的信息，请访问我们的网站&lt;br /&gt;
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Taxonomies may change frequently (as seen in [[biological classification|biological taxonomy]]), but the underlying concept of nested hierarchies is always the same.&lt;br /&gt;
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Taxonomies may change frequently (as seen in biological taxonomy), but the underlying concept of nested hierarchies is always the same.&lt;br /&gt;
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分类法可能会频繁更改(如在生物分类法中所见) ，但是嵌套层次结构的基本概念始终是相同的。&lt;br /&gt;
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In many programming taxonomies and syntax models (as well as fractals in mathematics), nested hierarchies, including Russian dolls, are also used to illustrate the properties of [[self-similarity]] and [[recursion]]. Recursion itself is included as a subset of hierarchical programming, and recursive thinking can be synonymous with a form of hierarchical thinking and logic.&amp;lt;ref name=Corballis&amp;gt;{{cite book |first=Michael |last=Corballis |title=The Recursive Mind  |publisher=Princeton University Press |year=2011 |isbn=978-0691145471}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In many programming taxonomies and syntax models (as well as fractals in mathematics), nested hierarchies, including Russian dolls, are also used to illustrate the properties of self-similarity and recursion. Recursion itself is included as a subset of hierarchical programming, and recursive thinking can be synonymous with a form of hierarchical thinking and logic.&lt;br /&gt;
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在许多编程分类法和语法模型(以及数学中的分形)中，嵌套的层次结构，包括俄罗斯娃娃，也被用来说明自相似和递归的性质。递归本身是层次编程的一个子集，递归思维可以是层次思维和逻辑的同义词。&lt;br /&gt;
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====Containment hierarchy====&lt;br /&gt;
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A containment hierarchy is a direct extrapolation of the [[#Nested hierarchy|nested hierarchy]] concept. All of the ordered sets are still nested, but every set must be &amp;quot;[[strict subset|strict]]&amp;quot;—no two sets can be identical. The shapes example above can be modified to demonstrate this:&lt;br /&gt;
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A containment hierarchy is a direct extrapolation of the nested hierarchy concept. All of the ordered sets are still nested, but every set must be &amp;quot;strict&amp;quot;—no two sets can be identical. The shapes example above can be modified to demonstrate this:&lt;br /&gt;
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包容层次结构是嵌套层次结构概念的直接外推。所有的有序集仍然是嵌套的，但是每个集合必须是“严格”的ーー没有两个集合是相同的。上面的图形例子可以通过修改来演示:&lt;br /&gt;
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: &amp;lt;math&amp;gt; \text{square} \subsetneq \text{quadrilateral} \subsetneq \text{polygon} \subsetneq \text{shape} \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; \text{square} \subsetneq \text{quadrilateral} \subsetneq \text{polygon} \subsetneq \text{shape} \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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如果你想知道更多，请点击这里查看更多&lt;br /&gt;
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The notation &amp;lt;math&amp;gt; x \subsetneq y \, &amp;lt;/math&amp;gt; means ''x'' is a subset of ''y'' but is not equal to&amp;amp;nbsp;''y''.&lt;br /&gt;
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The notation &amp;lt;math&amp;gt; x \subsetneq y \, &amp;lt;/math&amp;gt; means x is a subset of y but is not equal to&amp;amp;nbsp;y.&lt;br /&gt;
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符号 &amp;lt; math &amp;gt; x subsetneq y，&amp;lt;/math &amp;gt; 表示 x 是 y 的子集，但不等于 y。&lt;br /&gt;
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A general example of a containment hierarchy is demonstrated in [[inheritance (computer science)|class inheritance]] in [[object-oriented programming]].&lt;br /&gt;
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A general example of a containment hierarchy is demonstrated in class inheritance in object-oriented programming.&lt;br /&gt;
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一个包容层次结构的通用例子在面向对象程序设计的类继承中得到了演示。&lt;br /&gt;
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Two types of containment hierarchies are the ''subsumptive'' containment hierarchy and the ''compositional'' containment hierarchy. A subsumptive hierarchy &amp;quot;[[wikt:subsume|subsumes]]&amp;quot; its children, and a compositional hierarchy is &amp;quot;[[wikt:composed|composed]]&amp;quot; of its children. A hierarchy can also be both subsumptive ''and'' compositional{{example needed|date=August 2018}}.&amp;lt;ref name=&amp;quot;AI industrial&amp;quot;&amp;gt;{{cite encyclopedia|title=Industrial and Engineering Applications of Artificial Intelligence and Expert Systems|last=Kopisch|first=Manfred|last2=Günther|first2=Andreas|doi=10.1007/BFb0024994|editor-last=Belli|editor-first=Fevzi|encyclopedia=Industrial and engineering applications of artificial intelligence and expert systems: 5th international conference, IEA/AIE-92, Paderborn, Germany, June 9–12, 1992 : proceedings|year=1992|publisher=[[Springer Science+Business Media|Springer]]|pages=424–427|isbn=3-540-55601-X|series=Lecture Notes in Computer Science Series|volume=602|issn=0302-9743|editor6-last=Radermacher|editor8-first=Franz-Josef|chapter=Configuration of a passenger aircraft cabin based on conceptual hierarchy, constraints and flexible control}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Two types of containment hierarchies are the subsumptive containment hierarchy and the compositional containment hierarchy. A subsumptive hierarchy &amp;quot;subsumes&amp;quot; its children, and a compositional hierarchy is &amp;quot;composed&amp;quot; of its children. A hierarchy can also be both subsumptive and compositional.&lt;br /&gt;
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两种类型的包容层次结构是包含层次结构和组合包容层次结构。一个包含型层次结构“包含”其子层次结构，一个组合型层次结构“包含”其子层次结构。层次结构也可以是包含的和组合的。&lt;br /&gt;
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=====Subsumptive containment hierarchy=====&lt;br /&gt;
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A ''[[Category theory|subsumptive]]'' containment hierarchy is a classification of object classes from the general to the specific. Other names for this type of hierarchy are &amp;quot;taxonomic hierarchy&amp;quot; and &amp;quot;[[is-a|IS-A]] hierarchy&amp;quot;.&amp;lt;ref name=&amp;quot;Lehmann&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;ibm&amp;quot;&amp;gt;{{cite web|url=http://publib.boulder.ibm.com/infocenter/wtxdoc/v8r2m0/index.jsp?topic=/com.ibm.websphere.dtx.md.doc/concepts/c_map_design_Compositional_Hierarchy.htm|archive-url=https://archive.today/20130103052727/http://publib.boulder.ibm.com/infocenter/wtxdoc/v8r2m0/index.jsp?topic=/com.ibm.websphere.dtx.md.doc/concepts/c_map_design_Compositional_Hierarchy.htm|url-status=dead|archive-date=3 January 2013|title=Compositional hierarchy|work=WebSphere Transformation Extender Design Studio|accessdate=9 October 2009}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;sys model&amp;quot;&amp;gt;{{cite book|chapter=An advanced modeling environment based on a hybrid AI-OR approach|chapterurl=https://books.google.com/books?id=ds2eIQ6XZy0C&amp;amp;pg=PA366|pages=366–75|last=Funke|first=Birger|last2=Sebastian|first2=Hans-Jürgen|title=Systems modelling and optimization: proceedings of the 18th IFIP TC7 conference|volume=396|series=Research notes in mathematics series|editor1-last=Polis|editor1-first=Michael P.|editor2-last=Dontchev|editor2-first=Asen L.|editor3-last=Kall|editor3-first=Peter|editor4-last=Lascieka|editor4-first=Irena|editor5-last=Olbrot|editor5-first=Andrzej W.|publisher=[[CRC Press]]|year=1999|isbn=978-0-8493-0607-5}}&amp;lt;/ref&amp;gt; The last term describes the relationship between each level—a lower-level object &amp;quot;is a&amp;quot; member of the higher class. The taxonomical structure outlined above is a subsumptive containment hierarchy. Using again the example of Linnaean taxonomy, it can be seen that an object that is part of the level ''Mammalia'' &amp;quot;is a&amp;quot; member of the level ''Animalia''; more specifically, a human &amp;quot;is a&amp;quot; primate, a primate &amp;quot;is a&amp;quot; mammal, and so on. A subsumptive hierarchy can also be defined abstractly as a hierarchy of &amp;quot;[[concept]]s&amp;quot;.&amp;lt;ref name=&amp;quot;sys model&amp;quot;/&amp;gt; For example, with the Linnaean hierarchy outlined above, an entity name like ''Animalia'' is a way to group all the species that fit the [[wikt:conceptualization|conceptualization]] of an animal.&lt;br /&gt;
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A subsumptive containment hierarchy is a classification of object classes from the general to the specific. Other names for this type of hierarchy are &amp;quot;taxonomic hierarchy&amp;quot; and &amp;quot;IS-A hierarchy&amp;quot;. The last term describes the relationship between each level—a lower-level object &amp;quot;is a&amp;quot; member of the higher class. The taxonomical structure outlined above is a subsumptive containment hierarchy. Using again the example of Linnaean taxonomy, it can be seen that an object that is part of the level Mammalia &amp;quot;is a&amp;quot; member of the level Animalia; more specifically, a human &amp;quot;is a&amp;quot; primate, a primate &amp;quot;is a&amp;quot; mammal, and so on. A subsumptive hierarchy can also be defined abstractly as a hierarchy of &amp;quot;concepts&amp;quot;. For example, with the Linnaean hierarchy outlined above, an entity name like Animalia is a way to group all the species that fit the conceptualization of an animal.&lt;br /&gt;
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包容层次结构是对象类从一般到特定的分类。这类层次结构的其他名称是“分类层次结构”和“ IS-A 层次结构”。最后一个术语描述了每个级别之间的关系ーー较低级别的对象“是”较高级别的成员。上面概述的分类结构是一个包容性的层次结构。再次使用 Linnaean 分类的例子，可以看到，属于哺乳动物等级的物体“是”动物等级的成员; 更具体地说，人类“是”灵长类动物，灵长类动物“是”哺乳动物，等等。也可以抽象地将包含的层次结构定义为“概念”的层次结构。例如，根据林奈的等级划分，像动物这样的实体名称是对所有符合动物概念的物种进行分类的一种方法。&lt;br /&gt;
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=====Compositional containment hierarchy=====&lt;br /&gt;
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A ''compositional'' containment hierarchy is an ordering of the parts that make up a system—the system is &amp;quot;composed&amp;quot; of these parts.&amp;lt;ref name=&amp;quot;Parsons&amp;quot;&amp;gt;{{cite book|last=Parsons|first=David|title=Object Oriented Programming in C++|publisher=Cengage Learning|year=2002|pages=110–185|isbn=0-8264-5428-3}}&amp;lt;/ref&amp;gt; Most engineered structures, whether natural or artificial, can be broken down in this manner.&lt;br /&gt;
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A compositional containment hierarchy is an ordering of the parts that make up a system—the system is &amp;quot;composed&amp;quot; of these parts. Most engineered structures, whether natural or artificial, can be broken down in this manner.&lt;br /&gt;
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组合包容层次结构是组成系统的各个部分的顺序ー系统是由这些部分“组成”的。大多数工程结构，无论是自然的还是人工的，都可以用这种方式分解。&lt;br /&gt;
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The compositional hierarchy that every person encounters at every moment is the [[hierarchy of life]]. Every person can be reduced to [[organ system]]s, which are composed of [[organ (anatomy)|organs]], which are composed of [[tissue (biology)|tissues]], which are composed of [[cells (biology)|cells]], which are composed of [[molecule]]s, which are composed of [[atom]]s. In fact, the last two levels apply to all [[matter]], at least at the [[macroscopic scale]]. Moreover, each of these levels inherit all the properties of their [[#Terminology|children]].&lt;br /&gt;
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The compositional hierarchy that every person encounters at every moment is the hierarchy of life. Every person can be reduced to organ systems, which are composed of organs, which are composed of tissues, which are composed of cells, which are composed of molecules, which are composed of atoms. In fact, the last two levels apply to all matter, at least at the macroscopic scale. Moreover, each of these levels inherit all the properties of their children.&lt;br /&gt;
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每个人每时每刻都会遇到的构成层次就是生命的层次。每个人都可以归结为器官系统，器官系统是由组织构成的，组织是由细胞构成的，分子是由原子构成的。事实上，最后两个层次适用于所有物质，至少在宏观。此外，每个级别都继承了它们子级的所有属性。&lt;br /&gt;
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In this particular example, there are also ''[[emergent properties]]''—functions that are not seen at the lower level (e.g., [[cognition]] is not a property of [[neuron]]s but is of the [[Human brain|brain]])—and a scalar quality (molecules are bigger than atoms, cells are bigger than molecules, etc.). Both of these concepts commonly exist in compositional hierarchies, but they are not a required general property. These ''level hierarchies'' are characterized by bi-directional [[Causality|causation]].&amp;lt;ref name=&amp;quot;natsocsci-ch4&amp;quot;/&amp;gt; ''Upward causation'' involves lower-level entities causing some property of a higher level entity; children entities may interact to yield parent entities, and parents are composed at least partly by their children. ''[[Downward causation]]'' refers to the effect that the incorporation of entity ''x'' into a higher-level entity can have on ''x'''s properties and interactions. Furthermore, the entities found at each level are ''[[autonomous]]''.&lt;br /&gt;
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In this particular example, there are also emergent properties—functions that are not seen at the lower level (e.g., cognition is not a property of neurons but is of the brain)—and a scalar quality (molecules are bigger than atoms, cells are bigger than molecules, etc.). Both of these concepts commonly exist in compositional hierarchies, but they are not a required general property. These level hierarchies are characterized by bi-directional causation. Upward causation involves lower-level entities causing some property of a higher level entity; children entities may interact to yield parent entities, and parents are composed at least partly by their children. Downward causation refers to the effect that the incorporation of entity x into a higher-level entity can have on xs properties and interactions. Furthermore, the entities found at each level are autonomous.&lt;br /&gt;
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在这个特定的例子中，还有一些突发特性ーー在较低层次上看不到的功能(例如，认知不是神经元的特性，而是大脑的特性)ーー以及标量特性(分子比原子大，细胞比分子大，等等)。这两个概念通常都存在于组合层次结构中，但它们不是必需的一般属性。这些层次结构是拥有属性的双向因果关系。向上因果关系涉及较低层次的实体引起较高层次实体的某些属性; 儿童实体可能相互作用以产生父实体，父母至少部分由他们的子女组成。向下因果关系是指将实体 x 并入更高级别的实体可能对 x 的属性和交互产生的影响。此外，每个级别上的实体都是自治的。&lt;br /&gt;
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==Contexts and applications==&amp;lt;!--if you change this section's title, please also change the wikilinks throughout the article that link to it! --&amp;gt;&lt;br /&gt;
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==Contexts and applications==&amp;lt;!--if you change this section's title, please also change the wikilinks throughout the article that link to it! --&amp;gt;&lt;br /&gt;
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= = 上下文和应用 = = &amp;lt; ! ——如果你更改了这个部分的标题，请也更改文章中链接到它的 wikileink！--&amp;gt;&lt;br /&gt;
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According to Kulish, V. V. (2002), almost every system of organization applied to the world is arranged hierarchically.&amp;lt;ref name=&amp;quot;electrodynamics&amp;quot;&amp;gt;{{cite book|title=Hierarchical Methods: Hierarchy and hierarchical asymptotic methods in electrodynamics|last=Kulish|first=V. V.|isbn=1-4020-0757-4|year=2002|volume=1|publisher=[[Springer Science+Business Media|Springer]]|pages=xvii–xx; 49–71}}&amp;lt;/ref&amp;gt; By their common definitions, every [[nation]] has a government and every government is hierarchical.&amp;lt;ref&amp;gt;{{Cite book|contribution=government|title=Compact Oxford English Dictionary|contribution-url=http://www.askoxford.com/concise_oed/government?view=uk|isbn=978-0-19-861022-9|year=1991|title-link=Oxford English Dictionary|last1=Soanes|first1=Catherine|last2=Hawker|first2=Sara}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite book|contribution=nation|title=Compact Oxford English Dictionary|contribution-url=http://www.askoxford.com/concise_oed/nation?view=uk|isbn=978-0-19-861022-9|year=1991|title-link=Oxford English Dictionary|last1=Soanes|first1=Catherine|last2=Hawker|first2=Sara}}&amp;lt;/ref&amp;gt; Socioeconomic systems are stratified into a social hierarchy (the [[social stratification]] of societies), and all [[systematic name|systematic classification schemes]] ([[Taxonomy (general)|taxonomies]]) are hierarchical. Most [[organized religion]]s, regardless of their internal governance structures, operate as a hierarchy under [[God]]. Many [[Christian denomination]]s have an [[autocephalous]] [[ecclesiastical hierarchy]] of leadership. Families are viewed as a hierarchical structure in terms of [[cousinship]] (e.g., first cousin once removed, second cousin, etc.), [[ancestry]] (as depicted in a [[family tree]]) and [[inheritance]] ([[order of succession|succession]] and [[heir]]ship). All the requisites of a well-rounded life and [[lifestyle (sociology)|lifestyle]] can be organized using [[Maslow's hierarchy of needs|Maslow's hierarchy of human needs]]. [[Learning]] must often follow a hierarchical scheme—to learn [[differential equation]]s one must first learn [[calculus]]; to learn calculus one must first learn [[elementary algebra]]; and so on. Even [[nature]] itself has its own hierarchies, as numerous schemes such as [[Linnaean taxonomy]], the [[biological organisation|organization of life]], and [[biomass pyramid]]s attempt to document. Hierarchies are so infused into daily life that they are viewed as trivial.&amp;lt;ref name=&amp;quot;Dawkins&amp;quot;/&amp;gt;&amp;lt;ref name=&amp;quot;electrodynamics&amp;quot;/&amp;gt;&lt;br /&gt;
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According to Kulish, V. V. (2002), almost every system of organization applied to the world is arranged hierarchically. By their common definitions, every nation has a government and every government is hierarchical. Socioeconomic systems are stratified into a social hierarchy (the social stratification of societies), and all systematic classification schemes (taxonomies) are hierarchical. Most organized religions, regardless of their internal governance structures, operate as a hierarchy under God. Many Christian denominations have an autocephalous ecclesiastical hierarchy of leadership. Families are viewed as a hierarchical structure in terms of cousinship (e.g., first cousin once removed, second cousin, etc.), ancestry (as depicted in a family tree) and inheritance (succession and heirship). All the requisites of a well-rounded life and lifestyle can be organized using Maslow's hierarchy of human needs. Learning must often follow a hierarchical scheme—to learn differential equations one must first learn calculus; to learn calculus one must first learn elementary algebra; and so on. Even nature itself has its own hierarchies, as numerous schemes such as Linnaean taxonomy, the organization of life, and biomass pyramids attempt to document. Hierarchies are so infused into daily life that they are viewed as trivial.&lt;br /&gt;
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根据 Kulish v. v. (2002) ，几乎每个应用于世界的组织系统都是按等级排列的。按照他们的共同定义，每个国家都有一个政府，每个政府都是等级制度。社会经济系统被划分为一个社会等级(社会的社会阶层) ，所有的系统分类方案(分类法)都是分等级的。大多数有组织的宗教，不管它们的内部管理结构如何，都在上帝的统治下运作。许多基督教教派都有一个独立的教会领导层次。从表兄弟关系的角度来看，家庭被看作是一种等级结构(例如，第一代表兄弟，第二代表兄弟，等等)。) ，祖先(描述在一个家谱)和继承(继承和继承)。一个全面的生活和生活方式的所有必需品都可以用马斯洛的人类需求层次理论来组织。学习通常必须遵循一个层次结构---- 学习微分方程必须首先学习微积分; 学习微积分必须首先学习初等代数等等。甚至自然本身也有它自己的等级，许多计划，如林奈分类学，生命的组织，生物量金字塔试图记录下来。等级制度如此深入到日常生活中，以至于人们认为它们微不足道。&lt;br /&gt;
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While the above examples are often clearly depicted in a hierarchical form and are classic examples, hierarchies exist in numerous systems where this branching structure is not immediately apparent. For example, most [[postal code]] systems are hierarchical. Using the [[Postal codes in Canada|Canadian postal code system]] as an example, the top level's binding concept is the &amp;quot;[[forward sortation area|postal district]]&amp;quot;, and consists of 18 objects (letters). The next level down is the &amp;quot;zone&amp;quot;, where the objects are the digits 0–9. This is an example of an [[#Degree_of_branching|overlapping hierarchy]], because each of these 10 objects has 18 parents. The hierarchy continues downward to generate, in theory, 7,200,000 unique codes of the format ''A0A 0A0'' (the second and third letter position allow 20 objects each). Most [[library classification]] systems are also hierarchical. The [[Dewey Decimal Classification|Dewey Decimal System]] is regarded as infinitely hierarchical because there is no finite bound on the number of digits can be used after the decimal point.&amp;lt;ref name=&amp;quot;Dewey&amp;quot;&amp;gt;{{cite journal|title=Tracking Nuclear Sources|date=May–June 2009|last=Walker|first=Randy|publisher=wellservicingmagazine.com|pages=28–30|url=http://wellservicingmagazine.com/sites/default/files/pdfmag/WSM_MAYJUN09.PDF}}{{dead link|date=November 2017 |bot=InternetArchiveBot |fix-attempted=yes}} See also [[Dewey Decimal Classification|Wikipedia article]].&amp;lt;/ref&amp;gt;&lt;br /&gt;
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While the above examples are often clearly depicted in a hierarchical form and are classic examples, hierarchies exist in numerous systems where this branching structure is not immediately apparent. For example, most postal code systems are hierarchical. Using the Canadian postal code system as an example, the top level's binding concept is the &amp;quot;postal district&amp;quot;, and consists of 18 objects (letters). The next level down is the &amp;quot;zone&amp;quot;, where the objects are the digits 0–9. This is an example of an overlapping hierarchy, because each of these 10 objects has 18 parents. The hierarchy continues downward to generate, in theory, 7,200,000 unique codes of the format A0A 0A0 (the second and third letter position allow 20 objects each). Most library classification systems are also hierarchical. The Dewey Decimal System is regarded as infinitely hierarchical because there is no finite bound on the number of digits can be used after the decimal point.&lt;br /&gt;
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虽然上面的例子通常以层次形式清楚地描述，并且是经典的例子，但是层次结构存在于许多系统中，其中这种分支结构并不是很明显。例如，大多数邮政编码系统是分层的。以加拿大邮政编码系统为例，顶层的绑定概念是“ postal district” ，由18个对象(字母)组成。下一层是“ zone” ，其中的对象是数字0-9。这是一个重叠层次结构的例子，因为这10个对象中的每一个都有18个父对象。层次继续向下生成，理论上，720万个 A0A 0A0格式的唯一代码(第二个和第三个字母的位置允许每个20个对象)。大多数图书分类法系统也是分等级的。杜威十进制图书分类法被认为是无限层次的，因为在小数点之后可以使用的数字数量是没有限制的。&lt;br /&gt;
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[[File:Organizational chart.svg|thumb|200px|A simple [[hierarchical organization|organizational hierarchy]] depicted in the form of a [[tree structure|tree]]. Diagrams like this are called [[organizational chart]]s.]]&lt;br /&gt;
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organizational hierarchy depicted in the form of a tree. Diagrams like this are called organizational charts.]]&lt;br /&gt;
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以树的形式描述的组织层次结构。这样的图被称为组织结构图。]&lt;br /&gt;
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===Organizations===&lt;br /&gt;
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{{Main|Organizational structure|Hierarchical organization}}&lt;br /&gt;
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[[Organization]]s can be structured as a [[dominance hierarchy]]. In an organizational hierarchy, there is a single person or group with the most [[power (philosophy)|power]] and [[authority]], and each subsequent level represents a lesser authority. Most organizations are structured in this manner, including [[Forms of government|governments]], [[Company|companies]], [[militia]] and [[organized religion]]s. The units or persons within an organization are depicted hierarchically in an [[organizational chart]].&lt;br /&gt;
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Organizations can be structured as a dominance hierarchy. In an organizational hierarchy, there is a single person or group with the most power and authority, and each subsequent level represents a lesser authority. Most organizations are structured in this manner, including governments, companies, militia and organized religions. The units or persons within an organization are depicted hierarchically in an organizational chart.&lt;br /&gt;
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组织可以被构建成一个等级序列。在一个组织的层次结构中，有一个人或一个群体拥有最大的权力和权威，每个后续的层次代表一个较小的权威。大多数组织都是这样组织的，包括政府、公司、民兵和有组织的宗教。组织中的单位或人员在组织结构图中按等级进行描述。&lt;br /&gt;
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In a [[reverse hierarchy]], the conceptual [[pyramid (geometry)|pyramid]] of authority is turned upside-down, so that the apex is at the bottom and the base is at the top. This mode represents the idea that members of the higher rankings are responsible for the members of the lower rankings.&lt;br /&gt;
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In a reverse hierarchy, the conceptual pyramid of authority is turned upside-down, so that the apex is at the bottom and the base is at the top. This mode represents the idea that members of the higher rankings are responsible for the members of the lower rankings.&lt;br /&gt;
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在一个相反的等级制度中，权力的概念金字塔是颠倒的，因此顶点在底部，底部在顶部。这种模式代表了排名较高的成员对排名较低的成员负有责任的思想。&lt;br /&gt;
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=== Life===&lt;br /&gt;
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{{Main|Biological organisation#Fundamentals}}&lt;br /&gt;
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Empirically,  we observe in nature a large proportion of the (complex) biological systems, they  exhibit hierarchic structure. On theoretical grounds we could expect complex systems to be hierarchies in a world in which complexity had to evolve from simplicity. [[Systems theory|System]] hierarchies analysis performed in the 1950s,&amp;lt;ref&amp;gt;{{harvnb|Evans|1951}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{harvnb|Evans|1956}}&amp;lt;/ref&amp;gt; laid the empirical foundations for a [[Branches of science|field]] that would be, from the 1980s, '''hierarchical ecology'''.&amp;lt;ref&amp;gt;{{harvnb|Margalef|1975}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{harvnb|O'Neill|1986}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{harvnb|Wicken|Ulanowicz|1988}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{harvnb|Pumain|2006}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{harvnb|Jordan|Jørgensen|2012}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Empirically,  we observe in nature a large proportion of the (complex) biological systems, they  exhibit hierarchic structure. On theoretical grounds we could expect complex systems to be hierarchies in a world in which complexity had to evolve from simplicity. System hierarchies analysis performed in the 1950s, laid the empirical foundations for a field that would be, from the 1980s, hierarchical ecology.&lt;br /&gt;
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在实践中，我们观察到自然界中很大一部分(复杂的)生物系统呈现出等级结构。从理论上讲，我们可以期待复杂系统在一个复杂性必须从简单性演化的世界中成为层次结构。20世纪50年代进行的系统层次分析，为从20世纪80年代开始的层次生态学领域奠定了经验基础。&lt;br /&gt;
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The theoretical foundations are summarized by Thermodynamics.&lt;br /&gt;
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The theoretical foundations are summarized by Thermodynamics.&lt;br /&gt;
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用热力学方法总结了这些理论基础。&lt;br /&gt;
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When [[biological systems]] are modeled as [[physical system]]s, in its most general abstraction, they are [[Thermodynamic system#Open system|thermodynamic open systems]] that exhibit [[self-organisation|self-organised]] behavior, and the [[Set theory|set/subset]] relations between [[dissipative structures]] can be characterized in a hierarchy.&lt;br /&gt;
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When biological systems are modeled as physical systems, in its most general abstraction, they are thermodynamic open systems that exhibit self-organised behavior, and the set/subset relations between dissipative structures can be characterized in a hierarchy.&lt;br /&gt;
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当生物系统被模拟为物理系统时，在其最一般的抽象中，它们是表现出自组织行为的热力学开放系统，耗散结构之间的集合/子集关系可以用层次来刻画。&lt;br /&gt;
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===Computer graphic imaging===&lt;br /&gt;
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{{Main|3D modeling}}&lt;br /&gt;
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[[Computer-generated imagery|CGI]] and [[computer animation]] [[computer program|programs]] mostly use hierarchies for models. On a [[3D computer graphics|3D]] [[3d modeling|model]] of a [[human]] for example, the [[chest]] is a [[parent]] of the upper left arm, which is a parent of the lower left arm, which is a parent of the [[hand]]. This is used in [[3D modeling|modeling]] and [[animation]] for almost everything built as a 3D [[Digital data|digital]] model.&lt;br /&gt;
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CGI and computer animation programs mostly use hierarchies for models. On a 3D model of a human for example, the chest is a parent of the upper left arm, which is a parent of the lower left arm, which is a parent of the hand. This is used in modeling and animation for almost everything built as a 3D digital model.&lt;br /&gt;
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CGI 和计算机动画程序大多使用模型的层次结构。例如，在一个人的三维模型中，胸部是左上臂的母体，而左下臂是手的母体。这是用于建模和动画几乎所有建立的一个三维数字模型。&lt;br /&gt;
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===Linguistics===&lt;br /&gt;
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Many grammatical theories, such as [[phrase-structure grammar]], involve hierarchy.&lt;br /&gt;
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Many grammatical theories, such as phrase-structure grammar, involve hierarchy.&lt;br /&gt;
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许多语法理论，如短语结构语法，都涉及层次性。&lt;br /&gt;
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[[Direct–inverse language]]s such as [[Cree language|Cree]] and [[Mapudungun language|Mapudungun]] distinguish subject and object on [[verb]]s not by different subject and object markers, but via a hierarchy of persons.&lt;br /&gt;
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Direct–inverse languages such as Cree and Mapudungun distinguish subject and object on verbs not by different subject and object markers, but via a hierarchy of persons.&lt;br /&gt;
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克里语(Cree)和马普敦根语(Mapudungun)等正反语言不是通过不同的主语和宾语标记，而是通过人的等级来区分动词的主语和宾语。&lt;br /&gt;
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In this system, the three (or four with [[Algonquian languages]]) persons are placed in a hierarchy of [[salience (language)|salience]]. To distinguish which is subject and which object, ''inverse markers'' are used if the object outranks the subject.&lt;br /&gt;
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In this system, the three (or four with Algonquian languages) persons are placed in a hierarchy of salience. To distinguish which is subject and which object, inverse markers are used if the object outranks the subject.&lt;br /&gt;
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在这个系统中，3个人(或者4个阿尔冈昆诸语言)被放在显著的等级中。为了区分哪个是主语，哪个是宾语，如果宾语的级别高于主语，则使用反向标记。&lt;br /&gt;
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On the other hand, languages include a variety of phenomena that are not hierarchical. For example, the relationship between a pronoun and a prior noun phrase to which it refers, commonly crosses grammatical boundaries in non-hierarchical ways.&lt;br /&gt;
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On the other hand, languages include a variety of phenomena that are not hierarchical. For example, the relationship between a pronoun and a prior noun phrase to which it refers, commonly crosses grammatical boundaries in non-hierarchical ways.&lt;br /&gt;
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另一方面，语言包括各种不分等级的现象。例如，代词和它所指的名词短语之间的关系，通常以非等级的方式跨越语法界限。&lt;br /&gt;
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===Music===&lt;br /&gt;
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The structure of a musical composition is often understood hierarchically (for example by [[Heinrich Schenker]] (1768–1835, see [[Schenkerian analysis]]), and in the (1985) [[Generative theory of tonal music|Generative Theory of Tonal Music]], by composer [[Fred Lerdahl]] and linguist Ray [[Jackendoff]]). The sum of all notes in a piece is understood to be an all-inclusive surface, which can be reduced to successively more sparse and more fundamental types of motion. The levels of structure that operate in Schenker's theory are the foreground, which is seen in all the details of the musical score; the middle ground, which is roughly a summary of an essential contrapuntal progression and voice-leading; and the background or [[Ursatz]], which is one of only a few basic &amp;quot;long-range counterpoint&amp;quot; structures that are shared in the gamut of tonal music literature.&lt;br /&gt;
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The structure of a musical composition is often understood hierarchically (for example by Heinrich Schenker (1768–1835, see Schenkerian analysis), and in the (1985) Generative Theory of Tonal Music, by composer Fred Lerdahl and linguist Ray Jackendoff). The sum of all notes in a piece is understood to be an all-inclusive surface, which can be reduced to successively more sparse and more fundamental types of motion. The levels of structure that operate in Schenker's theory are the foreground, which is seen in all the details of the musical score; the middle ground, which is roughly a summary of an essential contrapuntal progression and voice-leading; and the background or Ursatz, which is one of only a few basic &amp;quot;long-range counterpoint&amp;quot; structures that are shared in the gamut of tonal music literature.&lt;br /&gt;
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音乐创作音乐的结构通常是按等级来理解的(例如 Heinrich Schenker (1768-1835，见 Schenkerian 分析) ，以及 Fred Lerdahl 和语言学家 Ray Jackendoff 在1985年的声调音乐生成理论)。一段乐曲中所有音符的总和被理解为一个包含所有音符的曲面，它可以简化为更加稀疏和更加基本的运动类型。在申克的理论中运作的结构层次是前景层次，这在音乐乐谱的所有细节中都可以看到; 中间层次，大致上是对位进行和主音的概括; 背景层次，即 Ursatz，这是调性音乐文学中仅有的几个共享的基本“远距离对位”结构之一。&lt;br /&gt;
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The [[pitch (music)|pitches]] and [[Musical form|form]] of [[Tonality|tonal]] music are organized hierarchically, all pitches deriving their importance from their relationship to a [[Tonic (music)|tonic]] [[Key signature|key]], and secondary themes in other keys are brought back to the tonic in a recapitulation of the primary theme. [[Susan McClary]] connects this specifically in the [[sonata-allegro form]] to the feminist hierarchy of gender (see above) in her book ''Feminine Endings'', even pointing out that primary themes were often previously called &amp;quot;masculine&amp;quot; and secondary themes &amp;quot;feminine.&amp;quot;&lt;br /&gt;
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The pitches and form of tonal music are organized hierarchically, all pitches deriving their importance from their relationship to a tonic key, and secondary themes in other keys are brought back to the tonic in a recapitulation of the primary theme. Susan McClary connects this specifically in the sonata-allegro form to the feminist hierarchy of gender (see above) in her book Feminine Endings, even pointing out that primary themes were often previously called &amp;quot;masculine&amp;quot; and secondary themes &amp;quot;feminine.&amp;quot;&lt;br /&gt;
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调性音乐的音高和形式是按等级组织的，所有音高的重要性来自于它们与主调的关系，其他调中的次要主题在主要主题的再现中被带回主调。苏珊 · 麦克拉里(Susan McClary)在她的《女性结局》(Feminine Endings)一书中将这一点在奏鸣曲式中具体地与女性主义的性别层次结构(见上文)联系起来，甚至指出，主要的主题通常以前被称为“阳性” ，次要&lt;br /&gt;
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==Criticisms of views, concerning distinctions of type and categories well as distinguishability ==&lt;br /&gt;
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In the work of diverse theorists such as [[William James]] (1842–1910), [[Michel Foucault]] (1926–1984) and [[Hayden White]], important critiques of hierarchical [[epistemology]] are advanced. James famously asserts in his work &amp;quot;Radical Empiricism&amp;quot; that clear distinctions of type and category are a constant but unwritten goal of scientific reasoning, so that when they are discovered, success is declared. But if aspects of the world are organized differently, involving inherent and intractable ambiguities, then scientific questions are often considered unresolved.&lt;br /&gt;
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In the work of diverse theorists such as William James (1842–1910), Michel Foucault (1926–1984) and Hayden White, important critiques of hierarchical epistemology are advanced. James famously asserts in his work &amp;quot;Radical Empiricism&amp;quot; that clear distinctions of type and category are a constant but unwritten goal of scientific reasoning, so that when they are discovered, success is declared. But if aspects of the world are organized differently, involving inherent and intractable ambiguities, then scientific questions are often considered unresolved.&lt;br /&gt;
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在威廉 · 詹姆斯(1842-1910)、米歇尔 · 福柯(1926-1984)和海登 · 怀特等不同理论家的著作中，提出了对等级认识论的重要批判。詹姆斯在他的著作“彻底的经验主义”中断言，明确的类型和范畴区分是科学推理的一个恒定但不成文的目标，因此，当他们被发现，成功是宣布。但是，如果世界的各个方面以不同的方式组织起来，涉及到固有的和难以解决的模糊性，那么科学问题通常被认为是没有解决的。&lt;br /&gt;
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Hierarchy in ethics emerged in Western Europe, West Asia and North Africa around the 1600s. In this aspect, the term hierarchy refers to how distinguishable they are from real to unreal. [[Feminists]], [[Marxists]], [[anarchists]], [[communists]], [[critical theorists]] and others, all of whom have multiple interpretations, criticize the hierarchies commonly found within human society, especially in social relationships. Hierarchies are present in all parts of society: in businesses, schools, families, etc. These relationships are often viewed as necessary. Entities that stand in hierarchical arrangements are animals, humans, plants, etc.&lt;br /&gt;
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Hierarchy in ethics emerged in Western Europe, West Asia and North Africa around the 1600s. In this aspect, the term hierarchy refers to how distinguishable they are from real to unreal. Feminists, Marxists, anarchists, communists, critical theorists and others, all of whom have multiple interpretations, criticize the hierarchies commonly found within human society, especially in social relationships. Hierarchies are present in all parts of society: in businesses, schools, families, etc. These relationships are often viewed as necessary. Entities that stand in hierarchical arrangements are animals, humans, plants, etc.&lt;br /&gt;
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17世纪左右，伦理学的等级制度在西欧、西亚和北非出现。在这方面，术语层次是指它们是如何从真实到非真实的区分。女权主义者、马克思主义者、无政府主义者、共产主义者、批判理论家和其他人，他们对人类社会中普遍存在的等级制度，尤其是社会关系中的等级制度，都有不同的解释。等级制度存在于社会的各个部分: 在企业、学校、家庭等等。这些关系通常被认为是必要的。站在等级结构中的实体是动物、人类、植物等等。&lt;br /&gt;
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===Ethics, behavioral psychology, philosophies of identity===&lt;br /&gt;
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[[File:Hierarchy Of Purposes.jpg|thumb|right|alt=|Career-oriented purposes can be diagrammed using a hierarchy describing how less important actions support a larger goal.]]&lt;br /&gt;
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Career-oriented purposes can be diagrammed using a hierarchy describing how less important actions support a larger goal.&lt;br /&gt;
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以事业为导向的目标可以用层次来描述，描述次要的行动如何支持一个更大的目标。&lt;br /&gt;
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In [[ethics]], various [[virtues]] are enumerated and sometimes organized hierarchically according to certain brands of [[virtue theory]].&lt;br /&gt;
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In ethics, various virtues are enumerated and sometimes organized hierarchically according to certain brands of virtue theory.&lt;br /&gt;
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在伦理学中，各种美德被列举出来，有时根据某些品牌的美德理论等级地组织起来。&lt;br /&gt;
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In some of these random examples, there is an asymmetry of 'compositional' significance between levels of structure, so that small parts of the whole hierarchical array depend, for their meaning, on their membership in larger parts. There is a hierarchy of activities in human life: productive activity serves or is guided by the moral life; the moral life is guided by practical reason; practical reason (used in moral and political life) serves contemplative reason (whereby we contemplate God). Practical reason sets aside time and resources for contemplative reason.&lt;br /&gt;
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In some of these random examples, there is an asymmetry of 'compositional' significance between levels of structure, so that small parts of the whole hierarchical array depend, for their meaning, on their membership in larger parts. There is a hierarchy of activities in human life: productive activity serves or is guided by the moral life; the moral life is guided by practical reason; practical reason (used in moral and political life) serves contemplative reason (whereby we contemplate God). Practical reason sets aside time and resources for contemplative reason.&lt;br /&gt;
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在一些随机的例子中，结构层次之间的组合意义是不对称的，因此整个层次数组的小部分依赖于它们在大部分中的隶属关系。人类生活中的活动有一个层次: 生产活动服务于或被道德生活所指导; 道德生活被实践理性所指导; 实践理性(用于道德和政治生活)服务于冥想理性(我们借以思考上帝)。实用理性为深思的理由留出时间和资源。&lt;br /&gt;
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==Examples of other applications==&lt;br /&gt;
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&amp;lt;!-- This section is for direct examples of a hierarchical system ONLY, and only ones that have not been summarized above. Methodologies belong in the appropriate section below. Related concepts are listed under the &amp;quot;See also&amp;quot; section. If you are uncertain where a link belongs, place it in the &amp;quot;See also&amp;quot; section. HINT: If you can't easily say what it's a hierarchy OF, it doesn't belong here (but that doesn't imply that if you can say what its a hierarchy of, it belongs here). --&amp;gt;&lt;br /&gt;
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&amp;lt;!-- This section is for direct examples of a hierarchical system ONLY, and only ones that have not been summarized above. Methodologies belong in the appropriate section below. Related concepts are listed under the &amp;quot;See also&amp;quot; section. If you are uncertain where a link belongs, place it in the &amp;quot;See also&amp;quot; section. HINT: If you can't easily say what it's a hierarchy OF, it doesn't belong here (but that doesn't imply that if you can say what its a hierarchy of, it belongs here). --&amp;gt;&lt;br /&gt;
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&amp;lt;！-- 本节仅供直接举例说明等级制度，仅供上文未概述的例子参考。方法学属于下面的适当部分。相关概念列在“请参阅”部分。如果您不确定链接属于哪个位置，请将其放在“请参阅”部分。提示: 如果你不能很容易地说出它的层次结构是什么，它就不属于这里(但这并不意味着如果你能说出它的层次结构是什么，它就属于这里)。--&amp;gt;&lt;br /&gt;
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====Information-based====&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;information-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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====Information-based====&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;information-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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= = = = = 信息为基础 = = = = &amp;lt; ! -- 是的，连字符是正确的，即使按照 wp: hyphen ー这个类别的逻辑标题是“信息为基础的层次结构” -- &amp;gt; &lt;br /&gt;
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* [[Library classification]]&lt;br /&gt;
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** [[Dewey Decimal Classification]]&lt;br /&gt;
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====City planning-based====&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;city planning-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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====City planning-based====&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;city planning-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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= = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = &lt;br /&gt;
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* [[Hierarchy of roads|Roads]]&lt;br /&gt;
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** [[Street hierarchy|Streets]]&lt;br /&gt;
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* [[Settlement hierarchy]]&lt;br /&gt;
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** [[Settlement hierarchy#Example of a settlement hierarchy|As of 2010]]&lt;br /&gt;
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** [[Ekistic units|As of 2100 (estimate according to Doxiadis, 1968)]]&lt;br /&gt;
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====Linguistics-based====&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;linguistics-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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====Linguistics-based====&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;linguistics-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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= = = 基于语言学的 = = = = = &amp;lt; ! -- 是的，连字符是正确的，即使按 wp: hyphen ー这个类别的逻辑标题是“基于语言学的层次” -- &amp;gt; &lt;br /&gt;
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* [[Tree model|Language family tree]]&lt;br /&gt;
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* [[Levels of adequacy|Levels of adequacy for evaluating grammars]]&lt;br /&gt;
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* [[Direct–inverse language]]s&lt;br /&gt;
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* [[Structural linguistics]]&lt;br /&gt;
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** [[Parse tree]]&lt;br /&gt;
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** [[Formal grammar]]s&lt;br /&gt;
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** [[Abstract syntax tree]]&lt;br /&gt;
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* [[Color terms#Basic color terms|Evolution of basic color terminology in languages]]&lt;br /&gt;
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====Power- or authority-based====&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;power- or authority-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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====Power- or authority-based====&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;power- or authority-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
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= = = 权力-或基于权威 = = = = = &amp;lt; ! -- 是的，连字符是正确的，即使按照 wp: hyphen ー这个类别的逻辑标题是“权力-或基于权威的层次结构” -- &amp;gt; &lt;br /&gt;
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* [[Noble ranks|Aristocratic hierarchies]]&lt;br /&gt;
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** In [[Royal and noble ranks#General chart of &amp;quot;translations&amp;quot; between languages|Europe]]&lt;br /&gt;
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** In [[Chinese nobility#Princehood and peerage|China]]&lt;br /&gt;
&lt;br /&gt;
* [[Ecclesiastical hierarchy|Ecclesiastical hierarchies]]&lt;br /&gt;
&lt;br /&gt;
** [[Catholic Church hierarchy]]&lt;br /&gt;
&lt;br /&gt;
** [[Priesthood (LDS Church)|LDS Church hierarchy]]&lt;br /&gt;
&lt;br /&gt;
** [[Kimbanguism#Hierarchy|Kimbanguist Church hierarchy]]&lt;br /&gt;
&lt;br /&gt;
** [[Raëlism#Member hierarchy|Raëlism Church hierarchy]]&lt;br /&gt;
&lt;br /&gt;
** see also [[autocephaly]]&lt;br /&gt;
&lt;br /&gt;
* Administrative branch of government geographical hierarchies&lt;br /&gt;
&lt;br /&gt;
** [[Administrative divisions of China (disambiguation)|Administrative divisions of China]] &amp;lt;!--do NOT disambiguate--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
** [[Administrative divisions of India]]&lt;br /&gt;
&lt;br /&gt;
** [[Administrative divisions of the United States]]&lt;br /&gt;
&lt;br /&gt;
** [[Administrative divisions of Russia]]&lt;br /&gt;
&lt;br /&gt;
* Political party hierarchies&lt;br /&gt;
&lt;br /&gt;
** [[Ranks and insignia of the Nazi Party|Nazi Party]]&lt;br /&gt;
&lt;br /&gt;
*** [[SS Ranks#Final SS ranks 1934–1945|SS]]&lt;br /&gt;
&lt;br /&gt;
*** [[Glossary of Nazi Germany#G|Hierarchy of subdivisions within the Gau]]&lt;br /&gt;
&lt;br /&gt;
** [[Communist Party of the Soviet Union#Structure|Communist Party of the Soviet Union]]&lt;br /&gt;
&lt;br /&gt;
** [[Communist Party of China]]&lt;br /&gt;
&lt;br /&gt;
* [[Command hierarchy|Chain of command]]&lt;br /&gt;
&lt;br /&gt;
** [[List of comparative military ranks|Military ranks]]&lt;br /&gt;
&lt;br /&gt;
** [[Military organization#Hierarchy of modern armies|Military units]]&lt;br /&gt;
&lt;br /&gt;
** [[Unified Combatant Command|U.S. Military Combatant Commands]]&lt;br /&gt;
&lt;br /&gt;
* [[Dominance hierarchy|Intraspecial dominance]]&lt;br /&gt;
&lt;br /&gt;
** [[Pecking order]]&lt;br /&gt;
&lt;br /&gt;
* [[Social stratification|Social classes]]&lt;br /&gt;
&lt;br /&gt;
** [[Caste system in India]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchical structure of Feudal Japan]]&lt;br /&gt;
&lt;br /&gt;
** [[Master race#White racist hierarchy|White racist hierarchy]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchy of Exclusion]] (Ender's Game)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{col-3}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
====Value-based====&amp;lt;!--value meaning both money and relative importance--&amp;gt;&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;value-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
====Value-based====&amp;lt;!--value meaning both money and relative importance--&amp;gt;&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;value-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= = = = = 基于价值的价值 = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = &lt;br /&gt;
&lt;br /&gt;
* [[Hierarchy of genres|Hierarchy of genres in art]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchy of evidence|Evidence]]&lt;br /&gt;
&lt;br /&gt;
* [[Maslow's hierarchy of needs|Human needs]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchy of precious substances|Precious substances]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchy of values|Judicial hierarchy of social values]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{col-3}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
====Perception-based====&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;perception-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
====Perception-based====&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;perception-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= = = 基于感知的感知 = = = = = &amp;lt; ! -- 是的，连字符是正确的，即使按照 wp: hyphen ー这个类别的逻辑标题是“基于感知的层级” -- &amp;gt; &lt;br /&gt;
&lt;br /&gt;
* [[Color wheel]]&lt;br /&gt;
&lt;br /&gt;
** [[Primary colors]]&lt;br /&gt;
&lt;br /&gt;
*** [[Secondary colors]]&lt;br /&gt;
&lt;br /&gt;
**** [[Tertiary colors]]&lt;br /&gt;
&lt;br /&gt;
{{col-end}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{col-begin}}&lt;br /&gt;
&lt;br /&gt;
{{col-3}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
====History-based====&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;history-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
====History-based====&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;history-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= = = 历史为基础 = = = = &amp;lt; ! -- 是的，连字符是正确的，即使按 wp: hyphen ー这个类别的逻辑标题是“基于历史的层级” -- &amp;gt; &lt;br /&gt;
&lt;br /&gt;
* [[Three-age system]]&lt;br /&gt;
&lt;br /&gt;
* [[Comparative history|Cyclic theory of civilization]]&lt;br /&gt;
&lt;br /&gt;
** [[Spengler's civilization model|Oswald Spengler]]&lt;br /&gt;
&lt;br /&gt;
** [[A Study of History#List of civilizations|Arnold J. Toynbee]]&lt;br /&gt;
&lt;br /&gt;
* [[Spiral dynamics]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{col-3}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
====Science-based====&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--[[WP:HYPHEN]]—this category's logical title is &amp;quot;science-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--WP:HYPHEN—this category's logical title is &amp;quot;science-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt; ! -- wp: hyphen ー这个类别的逻辑标题是&amp;quot;科学层次&amp;quot;&amp;gt; &lt;br /&gt;
&lt;br /&gt;
* [[Earth's location in the universe#Earth in the universe|Hierarchy of organization within the Universe]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical ternary star system|Star systems]]&lt;br /&gt;
&lt;br /&gt;
* [[Biological classification]]&lt;br /&gt;
&lt;br /&gt;
* [[Biological organization]]&lt;br /&gt;
&lt;br /&gt;
* [[Phylogenetic tree]]&lt;br /&gt;
&lt;br /&gt;
* [[Timeline of evolution|Evolutionary development]]&lt;br /&gt;
&lt;br /&gt;
* [[Ecological land classification#Hierarchy of classification levels in ecology compared to other fields|Hierarchy of ecological georegions]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{col-3}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
====Technology-based====&lt;br /&gt;
&lt;br /&gt;
* [[Memory hierarchy]]&lt;br /&gt;
&lt;br /&gt;
** [[Cache hierarchy]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical clustering|Clusters]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchy (object-oriented programming)|Class constructs]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical database model|Data organization]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchical query]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical Data Format|Data storage]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchical File System|Computer files (Macintosh)]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical control system|Devices]]&lt;br /&gt;
&lt;br /&gt;
* [[Classless inter-domain routing|IP addresses]]&lt;br /&gt;
&lt;br /&gt;
* [[Memory hierarchy|Memory]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchical page tables|Virtual memory allocation]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical internetworking model|Networks]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical cell structure|Radio cells]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical state machine|States (configurations)]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical name space|Web addresses]]&lt;br /&gt;
&lt;br /&gt;
* [[Structure]]&lt;br /&gt;
&lt;br /&gt;
** [[Data Structure]]&lt;br /&gt;
&lt;br /&gt;
* [[Inheritance (object-oriented programming)]]&lt;br /&gt;
&lt;br /&gt;
{{col-end}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
====Religion-based====&amp;lt;!--yes, that hyphen IS correct, even per [[WP:HYPHEN]]—this category's logical title is &amp;quot;religion- and mythology-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
====Religion-based====&amp;lt;!--yes, that hyphen IS correct, even per WP:HYPHEN—this category's logical title is &amp;quot;religion- and mythology-based hierarchies&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= = = = 基于宗教的 = = = = = = = = = = 是的，连字符是正确的，即使按照 wp: hyphen ー这个类别的逻辑标题是“基于宗教和神话的等级制度” -- &amp;gt; &lt;br /&gt;
&lt;br /&gt;
* Levels of consciousness&lt;br /&gt;
&lt;br /&gt;
** [[Chakra#The seven major chakras|Chakras]]&lt;br /&gt;
&lt;br /&gt;
** [[Great chain of being]]&lt;br /&gt;
&lt;br /&gt;
** [[Ray of Creation|G.I. Gurdjieff]]&lt;br /&gt;
&lt;br /&gt;
** [[Eight Circuit Model of Consciousness#The eight circuits|Timothy Leary]]&lt;br /&gt;
&lt;br /&gt;
* Levels of spiritual development&lt;br /&gt;
&lt;br /&gt;
** In [[Four stages of enlightenment|Theravada Buddhism]]&lt;br /&gt;
&lt;br /&gt;
** In [[Bhumi (Buddhism)|Mahayana Buddhism]]&lt;br /&gt;
&lt;br /&gt;
** In [[Initiation (Theosophy)|Theosophy]]&lt;br /&gt;
&lt;br /&gt;
* Ages in the evolution of society&lt;br /&gt;
&lt;br /&gt;
** In [[Astrological age#Past ages|Astrology]]&lt;br /&gt;
&lt;br /&gt;
** In [[Ages of Man|Hellenism (the Ancient Greek Religion)]]&lt;br /&gt;
&lt;br /&gt;
** [[Dispensation (period)#Protestant dispensations|Dispensations in Protestantism]]&lt;br /&gt;
&lt;br /&gt;
** [[Dispensation (period)#Latter Day Saint dispensations|Dispensations in Mormonism]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical communion|Degrees of communion between various Christian churches]]&lt;br /&gt;
&lt;br /&gt;
* [[UFO religion]]s&lt;br /&gt;
&lt;br /&gt;
** [[Master Jesus#Airborne Division of the Brotherhood of Light|Command hierarchy of the ''Ashtar Galactic Command'' flying saucer fleet]]&lt;br /&gt;
&lt;br /&gt;
* Deities&lt;br /&gt;
&lt;br /&gt;
** In [[Japanese Buddhist pantheon#Hierarchical structure of the Buddhist pantheon|Japanese Buddhism]]&lt;br /&gt;
&lt;br /&gt;
** In [[Spiritual Hierarchy#Levels of the spiritual hierarchy|Theosophy]]&lt;br /&gt;
&lt;br /&gt;
* Angels&lt;br /&gt;
&lt;br /&gt;
** In [[Christian angelic hierarchy|Christianity]]&lt;br /&gt;
&lt;br /&gt;
** In [[Islamic view of angels#Angel hierarchy|Islam]]&lt;br /&gt;
&lt;br /&gt;
** In [[Jewish angelic hierarchy|Judaism]]&lt;br /&gt;
&lt;br /&gt;
*** [[Kabbalistic angelic hierarchy|Kabbalistic]]&lt;br /&gt;
&lt;br /&gt;
** In [[Yazata|Zoroastrianism]]&lt;br /&gt;
&lt;br /&gt;
* Devils and Demons&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchy of devils|Devils]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchy of demons|Demons]]&lt;br /&gt;
&lt;br /&gt;
* [[Hell]]s&lt;br /&gt;
&lt;br /&gt;
** In [[Inferno (Dante)|Catholicism (Nine Levels of Hell)]]&lt;br /&gt;
&lt;br /&gt;
** In [[Naraka (Buddhism)|Buddhism (Sixteen Levels of Hell)]]&lt;br /&gt;
&lt;br /&gt;
* [[Religious stratification|Religions in society]]&lt;br /&gt;
&lt;br /&gt;
* (organizational&amp;amp;nbsp;hierarchies are listed under {{nowrap|&amp;quot;[[#Power- or authority-based|Power- or authority-based]]&amp;quot;}})&amp;lt;!--non-breaking spaces used for neatness at all resolutions--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Methods using hierarchy===&amp;lt;!-- See note at &amp;quot;Further applications&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Methods using hierarchy===&amp;lt;!-- See note at &amp;quot;Further applications&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= = = = 使用层次结构的方法 = = = &amp;lt; ! -- 参见“ further applications” -- &amp;gt; &lt;br /&gt;
&lt;br /&gt;
{{columns-list|colwidth=22em|&lt;br /&gt;
&lt;br /&gt;
{{columns-list|colwidth=22em|&lt;br /&gt;
&lt;br /&gt;
{ columns-list | colwidth = 22em | &lt;br /&gt;
&lt;br /&gt;
* [[Analytic Hierarchy Process]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchical Decision Process]]&lt;br /&gt;
&lt;br /&gt;
* [[HOOD method|Hierarchic Object-Oriented Design]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical Bayes model]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical clustering]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchical clustering of networks]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical constraint satisfaction]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical linear modeling]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical modulation]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical proportion]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical RBF|Hierarchical radial basis function]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical storage management]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical task network]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical temporal memory]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical Token Bucket|Hierarchical token bucket]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical visitor pattern]]&lt;br /&gt;
&lt;br /&gt;
* [[Presentation-abstraction-control]]&lt;br /&gt;
&lt;br /&gt;
** [[Hierarchical-Model-View-Controller]]&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==See also==&amp;lt;!-- See note at &amp;quot;Further applications&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==See also==&amp;lt;!-- See note at &amp;quot;Further applications&amp;quot;--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= = 也见 = = &amp;lt; ! -- 参见“ further applications” -- &amp;gt; &lt;br /&gt;
&lt;br /&gt;
{{columns-list|colwidth=22em|&lt;br /&gt;
&lt;br /&gt;
{{columns-list|colwidth=22em|&lt;br /&gt;
&lt;br /&gt;
{ columns-list | colwidth = 22em | &lt;br /&gt;
&lt;br /&gt;
* [[Anarchy]]&lt;br /&gt;
&lt;br /&gt;
* [[Class browser]]&lt;br /&gt;
&lt;br /&gt;
* [[Forms of government]]&lt;br /&gt;
&lt;br /&gt;
* [[Graph theory]]&lt;br /&gt;
&lt;br /&gt;
* [[Heterarchy]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical classifier]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical epistemology]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical hidden Markov model]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical INTegration]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchical Music Specification Language]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchy Open Service Interface Definition]]&lt;br /&gt;
&lt;br /&gt;
* [[Hierarchy problem]]&lt;br /&gt;
&lt;br /&gt;
* {{section link|Holarchy#Different meanings}}&lt;br /&gt;
&lt;br /&gt;
* [[Instrumental value]]&lt;br /&gt;
&lt;br /&gt;
* [[Layer (disambiguation)]]&lt;br /&gt;
&lt;br /&gt;
* [[Multilevel model]]&lt;br /&gt;
&lt;br /&gt;
* [[Multitree]] &lt;br /&gt;
&lt;br /&gt;
* [[Ordinary (officer)]]&lt;br /&gt;
&lt;br /&gt;
** {{section link|Characters of Halo#High Prophets}}&lt;br /&gt;
&lt;br /&gt;
** [[List of Coptic Orthodox Popes of Alexandria]]&lt;br /&gt;
&lt;br /&gt;
* [[Peter Principle]]&lt;br /&gt;
&lt;br /&gt;
* [[Ring (computer security)]]&lt;br /&gt;
&lt;br /&gt;
* [[Social dominance theory]]&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Strucure-related concepts===&lt;br /&gt;
&lt;br /&gt;
''(For example, in {{section link|#Subtype}})''&lt;br /&gt;
&lt;br /&gt;
(For example, in )&lt;br /&gt;
&lt;br /&gt;
(例如，在&lt;br /&gt;
&lt;br /&gt;
* [[Is-a]]&lt;br /&gt;
&lt;br /&gt;
** [[Hypernymy]] (and [[supertype]])&lt;br /&gt;
&lt;br /&gt;
** [[Hyponymy]] (and [[subtype]])&lt;br /&gt;
&lt;br /&gt;
* [[Has-a]]&lt;br /&gt;
&lt;br /&gt;
** [[Holonymy]]&lt;br /&gt;
&lt;br /&gt;
** [[Meronymy]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Footnotes==&lt;br /&gt;
&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Further reading==&lt;br /&gt;
&lt;br /&gt;
* {{cite book|first=Valerie|last=Ahl|first2=Timothy F. H.|last2=Allen|authorlink2=Timothy F. H. Allen|year=1996|title=Hierarchy Theory|location=New York|publisher=Columbia University Press|isbn=0-231-08481-1}}&lt;br /&gt;
&lt;br /&gt;
* {{cite conference|last=Akl |first=Selim G. |authorlink=Selim Akl |last2=Taylor |first2=Peter D. |title=Cryptographic solution to a multilevel security problem |conference=Advances in Cryptology: Proceedings of [[CRYPTO]] '82 |pages=237–249 |publisher=[[Plenum Publishing Corporation]] |year=1983 |location=New York |url=http://dsns.csie.nctu.edu.tw/research/crypto/HTML/PDF/C82/237.PDF |archive-url=https://web.archive.org/web/20021229212150/http://dsns.csie.nctu.edu.tw/research/crypto/HTML/PDF/C82/237.PDF |url-status=dead |archive-date=2002-12-29 |isbn=0-306-41366-3}}&lt;br /&gt;
&lt;br /&gt;
* {{cite journal | last1 = Carbone | first1 = June | last2 = Cahn | first2 = Naomi |title= Is marriage for rich men? |journal = [[Nevada Law Journal]]| volume = 13 | issue = 2 | page = 6 | publisher = [[William S. Boyd School of Law]] | url = http://scholars.law.unlv.edu/nlj/vol13/iss2/6 | date = 2013}}&lt;br /&gt;
&lt;br /&gt;
* {{cite journal|title=Regulatory hierarchies in auxin signal transduction and vascular tissue development|last=Ckurshumova|first=Wenzislava|isbn=978-0-494-27682-2|year=2007|journal=Dissertation Abstracts International|volume=68|issue=5|page=section B|place=University of Toronto|publication-place=|postscript=. Ph.D. dissertation.}}&lt;br /&gt;
&lt;br /&gt;
* {{Cite book|last1=Galindo|first1=Cipriano|last2=Fernández-Madrigal|first2=Juan-Antonio|title=Multiple Abstraction Hierarchies for Mobile Robot Operation in Large Environments|series=Studies in Computational Intelligence|editor-last=Kacprzyk|editor-first=Janusz|year=2007|publisher=Springer Berlin Heidelberg|location=Berlin|isbn=978-3-540-72688-3}}&lt;br /&gt;
&lt;br /&gt;
* {{cite journal|first=Julie|last=Nelson|authorlink=Julie Nelson (economist)|year=1992|title=Gender, Metaphor and the Definition of Economics|journal=Economics and Philosophy|volume=8|issue=1|pages=103–25|doi=10.1017/S026626710000050X}}&lt;br /&gt;
&lt;br /&gt;
* {{cite book|last=Pumain|first=Denise|title=Hierarchy in Natural and Social Sciences|publisher=[[Springer-Verlag]]|location=New York, New York|year=2006|isbn=978-1-4020-4126-6}}&lt;br /&gt;
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* {{cite book|first=A.|last=Rosenbaum|authorlink=Alexis Rosenbaum|year=2000|title=Les représentations hiérarchiques en philosophie|language=French|location=Paris|publisher=Desclee de Brouwer}}&lt;br /&gt;
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* {{cite journal|title=Improving classification models when a class hierarchy is available|last=Shahbaba|first=Babak|isbn=978-0-494-28076-8|journal=Dissertation Abstracts International|volume=68|issue=6|page=section B|place=University of Toronto|publication-place=|postscript=. Ph.D. dissertation.|year=2007}}&lt;br /&gt;
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** Also includes full copies of:&lt;br /&gt;
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** {{cite journal|title=Improving Classification When a Class Hierarchy is Available Using a Hierarchy-Based Prior|last=Shahbaba|first=Babak|last2=Neal|first2=Radford M.|journal=Bayesian Analysis|volume=2|issue=1|pages=221–228|year=2007|issn=1936-0975|publisher=[[International Society for Bayesian Analysis]]|location=[[Carnegie Mellon University]], Pittsburgh, Pennsylvania|url=http://ba.stat.cmu.edu/journal/2007/vol02/issue01/shahbaba.pdf|bibcode=2005math.....10449S|arxiv=math/0510449|doi=10.1214/07-ba209|url-status=dead|archiveurl=https://web.archive.org/web/20150903231224/http://ba.stat.cmu.edu/journal/2007/vol02/issue01/shahbaba.pdf|archivedate=2015-09-03}}&lt;br /&gt;
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** {{cite journal|last=Shahbaba|first=Babak|last2=Neal|first2=Radford M.|title=Gene function classification using Bayesian models with hierarchy-based priors|journal=[[BMC Bioinformatics]]|publisher=[[BioMed Central]]|location=London, England|year=2006|volume=7|page=448|doi=10.1186/1471-2105-7-448|pmc=1618412|pmid=17038174|issn=1471-2105|bibcode=2006q.bio.....5015S|arxiv=q-bio/0605015}}&lt;br /&gt;
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* [https://web.archive.org/web/20020207202512/http://isss.org/hierarchy.htm Principles and annotated bibliography of hierarchy theory]&lt;br /&gt;
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* [https://web.archive.org/web/20060721201540/http://www.nbi.dk/%7Enatphil/salthe/Summary_of_the_Principles_o.pdf Summary of the Principles of Hierarchy Theory] — S.N. Salthe&lt;br /&gt;
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		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12831</id>
		<title>热力学第二定律</title>
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		<updated>2020-08-17T15:04:50Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Various statements of the law热力学第二定律的不同表述 */&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{short description|Law of physics}}&lt;br /&gt;
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{{Thermodynamics|laws}}&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 全文审校中，heat一般统一译为“热”，caloric 或者 caloric of heat 译为“热量”。这一点是否准确，有待各位同学和专家的批评指正&lt;br /&gt;
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The '''second law of thermodynamics''' states that the total [[entropy]] of an [[isolated system]] can never decrease over time, and is constant if and only if all processes are reversible.&amp;lt;ref&amp;gt;http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node38.html#SECTION05224000000000000000&amp;lt;/ref&amp;gt; Isolated systems spontaneously evolve towards [[thermodynamic equilibrium]], the state with maximum entropy. &lt;br /&gt;
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The second law of thermodynamics states that the total entropy of an isolated system can never decrease over time, and is constant if and only if all processes are reversible. Isolated systems spontaneously evolve towards thermodynamic equilibrium, the state with maximum entropy. &lt;br /&gt;
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&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第二定律 Second Law Of Thermodynamics'''&amp;lt;/font&amp;gt;指出，&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''孤立系统Isolated System'''&amp;lt;/font&amp;gt;的总熵永远不会随着时间而减少，且当且仅当所有过程都是可逆时，总熵才恒定。孤立系统自发地到达到热力学平衡状态，此时为熵最大的状态。&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in [[thermodynamic equilibrium]], or is undergoing a (fictive) [[Reversible process (thermodynamics)|reversible process]]. In all processes that occur, including [[spontaneous process]]es,&amp;lt;ref&amp;gt;Atkins and de Paula, p.78&amp;lt;/ref&amp;gt; the total entropy of the system and its surroundings increases and the process is [[Irreversible process|irreversible in the thermodynamic sense]]. The increase in entropy accounts for the irreversibility of natural processes, and the [[Arrow of time|asymmetry between future and past]].&amp;lt;ref&amp;gt;{{cite book|last=Zohuri|first=Bahman|title=Dimensional Analysis Beyond the Pi Theorem|url=https://books.google.com/books?id=pRVuDQAAQBAJ|year=2016|publisher=Springer|isbn=978-3-319-45726-0|page=[https://books.google.com.ph/books?id=pRVuDQAAQBAJ&amp;amp;pg=PA111&amp;amp;dq=%22increase+in+entropy+accounts+for+the+irreversibility+of+natural+processes+and+the+asymmetry+between+future+and+past.%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ved=0ahUKEwj6spb61tbaAhUFS7wKHfftDtIQ6AEIKDAA#v=onepage&amp;amp;q=%22increase%20in%20entropy%20accounts%20for%20the%20irreversibility%20of%20natural%20processes%20and%20the%20asymmetry%20between%20future%20and%20past.%22 111]}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in thermodynamic equilibrium, or is undergoing a (fictive) reversible process. In all processes that occur, including spontaneous processes, the total entropy of the system and its surroundings increases and the process is irreversible in the thermodynamic sense. The increase in entropy accounts for the irreversibility of natural processes, and the asymmetry between future and past.&lt;br /&gt;
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系统及其周围环境的总熵在理想情况下可以保持不变，在这种情况下，系统处于热力学平衡状态，或者正在经历一个假想的可逆过程。所有过程中，包括&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''自发过程 Spontaneous Processes'''&amp;lt;/font&amp;gt;，系统及其周围环境的总熵增加，这一过程在热力学意义上是不可逆的。熵的增加解释了自然过程的不可逆性，以及未来和过去之间的不对称性。&lt;br /&gt;
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Historically, the second law was an [[Empirical evidence|empirical finding]] that was accepted as an axiom of [[thermodynamics|thermodynamic theory]].  [[Statistical mechanics]], classical or [[quantum thermodynamics|quantum]], explains the microscopic origin of the law.&lt;br /&gt;
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Historically, the second law was an empirical finding that was accepted as an axiom of thermodynamic theory.  Statistical mechanics, classical or quantum, explains the microscopic origin of the law.&lt;br /&gt;
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从历史上看，第二定律是一个经验性的发现，它被认为是热力学理论中的公理。经典统计力学、量子统计力学都可以解释这个定律的微观起源。&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist [[Nicolas Léonard Sadi Carnot|Sadi Carnot]], who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as [[Carnot's theorem (thermodynamics)|Carnot's rule]] or limit.&amp;lt;ref&amp;gt;Jaffe, R.L., Taylor, W. (2018). ''The Physics of Energy'', Cambridge University Press, Cambridge UK, pages 150, 151, 259, 772, 743.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist Sadi Carnot, who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as Carnot's rule or limit.&lt;br /&gt;
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&amp;lt;font color = 'blue'&amp;gt;热力学第二定律可以使用多种方法表述。它的第一个公式归功于法国科学家&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺Sadi Carnot'''&amp;lt;/font&amp;gt;，卡诺在1824年证明了在热机中将热转化为功的效率有一个上限。第二定律的这个方面也被称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺规则Carnot's Rule'''&amp;lt;/font&amp;gt;或&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺限制Carnot's Limit'''&amp;lt;/font&amp;gt;。&amp;lt;/font&amp;gt;&lt;br /&gt;
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'''热力学第二定律 Second Law of Thermodynamics'''是热力学的四条基本定律之一，它表述了热力学过程的不可逆性——孤立系统自发地朝着热力学平衡方向（即最大熵状态）演化，另一种表述为：第二类永动机永不可能实现。&lt;br /&gt;
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--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）这里是不是少了一段原文？&lt;br /&gt;
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==Introduction引言==&lt;br /&gt;
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[[File:Heat flow hot to cold.png|thumb|upright|Heat flow from hot water to cold water. 热总是从热水流向冷水]]&lt;br /&gt;
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The [[first law of thermodynamics]] provides the definition of the [[internal energy]] of a [[thermodynamic system]], and expresses the law of [[conservation of energy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 40–41.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Munster A. (1970), pp. 8–9, 50–51.&amp;lt;/ref&amp;gt; The second law is concerned with the direction of natural processes.&amp;lt;ref&amp;gt;{{harvnb|Mandl|1988}}&amp;lt;/ref&amp;gt; It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such [[Phenomenon|phenomena]] are accounted for in terms of [[entropy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 79–107.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994), Section 71, pp. 113–154.&amp;lt;/ref&amp;gt; If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, {{math|''S''}}, increases.&lt;br /&gt;
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The first law of thermodynamics provides the definition of the internal energy of a thermodynamic system, and expresses the law of conservation of energy. The second law is concerned with the direction of natural processes. It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such phenomena are accounted for in terms of entropy. If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&lt;br /&gt;
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'''热力学第一定律 First Law Of Thermodynamics'''定义了热力学系统所涉及到的'''内能 Internal Energy'''，并体现了能量守恒定律。热力学第二定律与'''自然过程Natural Processes'''的方向有关。它断言自然过程只在一种意义上进行，且不可逆 。例如，当有了传导和辐射的（传播）路径时，热总是自发地从一个较热的物体流向一个较冷的物体。这种现象可以用'''熵Entropy'''来解释。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;若一个'''孤立系统Isolated System'''最初在具有隔热内壁的系统内维持热力学平衡，通过一些操作使内壁透热，则该系统可自发地演变，最终达到一个新的内部热力学平衡，且其总熵{{math|''S''}}增加。If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy ({{math|d''S''}}) of a system is defined to result from an infinitesimal transfer of heat ({{math|δ''Q''}}) to a [[closed system]] (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature ({{math|''T''}}) of the system in equilibrium and the surroundings which supply the heat:&amp;lt;ref&amp;gt;Bailyn, M. (1994), p. 120.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy () of a system is defined to result from an infinitesimal transfer of heat () to a closed system (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature () of the system in equilibrium and the surroundings which supply the heat:&lt;br /&gt;
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在假想的可逆过程中，系统的熵的无穷小增量&amp;lt;math&amp;gt;dS&amp;lt;/math&amp;gt;被定义为由无穷小的热&amp;lt;math&amp;gt;δQ&amp;lt;/math&amp;gt;传递到一个封闭系统(允许能量进入或出去，但不允许物质传递的系统）除以该平衡系统和提供热的环境的共同温度 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat ({{mvar|δ}}) and infinitesimal amounts of entropy ({{mvar|d}}) because entropy is a [[function of state]], while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the [[Clausius Theorem|inequality]] &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt; Mortimer, R. G. ''Physical Chemistry''. 3rd ed., p. 120, Academic Press, 2008. &amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;FermiBook&amp;quot;&amp;gt; Fermi, E. ''Thermodynamics'', footnote on p. 48, Dover Publications,1956 (still in print). &amp;lt;/ref&amp;gt; &lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat () and infinitesimal amounts of entropy () because entropy is a function of state, while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the inequality  &lt;br /&gt;
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用不同的符号''δ''和''d''表示无穷小量的热和无穷小量的熵，因为熵是状态函数，而热和功一样，并不是状态函数。对于实际上可能存在的不与环境发生物质交换的无穷小过程，第二定律要求系统熵增量满足不等式：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature ({{math|''T''}}) and the temperature of the surroundings ({{math|''T''}}&amp;lt;sub&amp;gt;''surr''&amp;lt;/sub&amp;gt;).&lt;br /&gt;
&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Adkins, C.J. (1968/1983), p. 75.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt; &lt;br /&gt;
Note that the equality still applies for pure heat flow,&lt;br /&gt;
&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt; Schmidt-Rohr, K. (2014). &amp;quot;Expansion Work without the External Pressure, and Thermodynamics in Terms of Quasistatic Irreversible Processes&amp;quot; ''J. Chem. Educ.'' '''91''': 402-409.  https://dx.doi.org/10.1021/ed3008704 &amp;lt;/ref&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature () and the temperature of the surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;).Note that the equality still applies for pure heat flow。&lt;br /&gt;
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这是因为在这种情况下的一般过程可能包括周围环境对系统所做的功，该功在系统内部会产生摩擦或粘滞效应，此时一个化学反应可能正在系统内部进行，或因为热传递实际上是不可逆地发生，系统温度&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;和周围环境温度&amp;lt;math&amp;gt;T_surr&amp;lt;/math&amp;gt;之间的差异驱动了热传递的发生。注意该等式也适用于'''纯热流Pure Heat Flow'''&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(actually possible quasistatic irreversible process without composition change 实际上可能的,不改变成分的准静态不可逆性).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;&amp;gt;Oxtoby, D. W; Gillis, H.P., [[Laurie Butler|Butler, L. J.]] (2015).''Principles of Modern Chemistry'', Brooks Cole. p. 617.  {{ISBN|978-1305079113}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; Introducing a set of internal variables &amp;lt;math&amp;gt;\xi&amp;lt;/math&amp;gt; to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure ''P'' and temperature ''T'')&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.[16] [11] Introducing a set of internal variables {\displaystyle \xi }\xi  to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure P and temperature T)[15] from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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这种方法是通过测量'''热容曲线 Heat Capacity Curves'''和相变中熵的变化，来准确测定纯物质的绝对熵的基础，比如'''量热法calorimetry'''。&lt;br /&gt;
为了描述一个热力学系统在物理平衡状态下(要求有明确定义的等压P和等温T)偏离化学平衡状态，引入一组内部变量&amp;lt;math&amp;gt;x_i&amp;lt;/math&amp;gt;,可以用该等式&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} - \frac{1}{T} \sum_{j} \, \Xi_{j} \,\delta \xi_j \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(closed system, actually possible quasistatic irreversible process 封闭系统，实际可能的准静态不可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of ''the second principle of thermodynamics'' – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&amp;lt;ref&amp;gt; Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769–781.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of the second principle of thermodynamics – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&lt;br /&gt;
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第二项代表内部变量的功，这些内部变量可能受到外部影响的干扰，但是系统不能通过内部变量做任何正功。这种说法介绍了热力学系统在时间上演化不可能逆转的性质，并且可以被认为是热力学第二原理的另外一种相当于熵原理的表述。该公式可以被看作使用'''熵Entropy'''的热力学第二定律等价表述&lt;br /&gt;
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The [[zeroth law of thermodynamics]] in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body.&amp;lt;ref name=dugdale&amp;gt;{{cite book|author=J. S. Dugdale|title=Entropy and its Physical Meaning|publisher=Taylor &amp;amp; Francis|year=1996|isbn=978-0-7484-0569-5|page=13|quote=This law is the basis of temperature.}}&amp;lt;/ref&amp;gt; For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows{{how?|date=August 2018}} a distinguished temperature scale, which defines an absolute, [[thermodynamic temperature]], independent of the properties of any particular reference thermometric body.&amp;lt;ref&amp;gt;[[Mark Zemansky|Zemansky, M.W.]] (1968), pp. 207–209.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Quinn, T.J. (1983), p. 8.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The zeroth law of thermodynamics in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body. For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows a distinguished temperature scale, which defines an absolute, thermodynamic temperature, independent of the properties of any particular reference thermometric body.&lt;br /&gt;
&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;&lt;br /&gt;
热力学第零定律是指如果两个热力学系统都与第三个热力学系统处于热平衡(温度相同)状态，则它们彼此也必定处于热平衡状态。热力学第零定律在它这个简短叙述中让人们认识到热平衡关系中的两个物体具有相同的温度，特别是当一个被测物体与一个参考测温物体具有相同的温度时，对于两个处于热平衡状态的物体，有无限多的'''&amp;lt;font color = '#ff8000'&amp;gt;经验温标empirical temperature scales&amp;lt;/font&amp;gt;'''，这通常取决于特定参考温度体的性质。热力学第二定律允许区分'''&amp;lt;font color = '#ff8000'&amp;gt;温度标度temperature scale&amp;lt;/font&amp;gt;'''，它定义了一个绝对的热力学温度，与任何特定的参考温度体的性质无关。&lt;br /&gt;
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==Various statements of the law热力学第二定律的不同表述==&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways,&amp;lt;ref name=MIT&amp;gt;{{cite web|title=Concept and Statements of the Second Law|url=http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node37.html|accessdate=2010-10-07 |publisher=web.mit.edu}}&amp;lt;/ref&amp;gt; the most prominent classical statements{{sfnp|Lieb|Yngvason|1999}} being the statement by [[Rudolf Clausius]] (1854), the statement by [[William Thomson, 1st Baron Kelvin|Lord Kelvin]] (1851), and the statement in axiomatic thermodynamics by [[Constantin Carathéodory]] (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.{{sfnp|Rao|2004|p=213}}&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways, the most prominent classical statements being the statement by Rudolf Clausius (1854), the statement by Lord Kelvin (1851), and the statement in axiomatic thermodynamics by Constantin Carathéodory (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.&lt;br /&gt;
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热力学第二定律可以用许多特定的方式来表达，最突出的经典陈述是 '''克劳修斯 Rudolf Clausius''' (1854)表述，'''开尔文 克劳修斯 Kelvin Clausius''' (1851)表述，以及康斯坦丁·卡拉西奥多里 Constantin Carathéodory(1909)在'''&amp;lt;font color = '#ff8000'&amp;gt;公理化热力学axiomatic thermodynamics&amp;lt;/font&amp;gt;'''中的表述。这些表述用一般的物理术语来描述定律，引用某些过程的不可能性。克劳修斯和开尔文表述被证明是等价的。&lt;br /&gt;
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===Carnot's principle卡诺原理===&lt;br /&gt;
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The historical origin&amp;lt;ref&amp;gt;[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986).&amp;lt;/ref&amp;gt; of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a [[Carnot heat engine]], fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the [[caloric theory]] of heat was seriously considered, before the recognition of the [[first law of thermodynamics]], and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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The historical origin of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a Carnot heat engine, fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the caloric theory of heat was seriously considered, before the recognition of the first law of thermodynamics, and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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热力学第二定律的历史起源是'''卡诺原理Carnot's principle'''。&lt;br /&gt;
它指的是'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机Carnot heat engine&amp;lt;/font&amp;gt;'''的一个循环，卡诺热机以'''&amp;lt;font color = '#ff8000'&amp;gt;准静态quasi-static&amp;lt;/font&amp;gt;'''的极限慢速运转，因此热和功在子系统之间进行传递，子系统总是处于它们自己内部的热力学平衡状态。&lt;br /&gt;
卡诺热机是研究热机效率的工程师特别感兴趣的理想装置。&lt;br /&gt;
当卡诺发现卡诺原理时，'''&amp;lt;font color = '#ff8000'&amp;gt;热量理论caloric theory of heat&amp;lt;/font&amp;gt;'''还没有得到重视，热力学第一定律还没有得到承认，熵的概念还没有数学表达。&lt;br /&gt;
根据第一定律的解释，它在物理上等同于热力学第二定律，并沿用至今。&lt;br /&gt;
在热力学第一定律被发现之前，卡诺最初的论点是从热量理论的观点出发的。&lt;br /&gt;
下面是他书中的一些例子：&lt;br /&gt;
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::...''wherever there exists a difference of temperature, motive power can be produced.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 51.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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...wherever there exists a difference of temperature, motive power can be produced.&lt;br /&gt;
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……只要有温差，就能产生动力。&lt;br /&gt;
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::The production of motive power is then due in steam engines not to an actual consumption of caloric, but ''to its transportation from a warm body to a cold body ...''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 46.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The production of motive power is then due in steam engines not to an actual consumption of caloric, but to its transportation from a warm body to a cold body ...&lt;br /&gt;
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动力的产生不是由于蒸汽机实际消耗的热量，而是由于它从一个较热的物体转移到一个较冷的物体……。&lt;br /&gt;
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::''The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 68.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.&lt;br /&gt;
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热的原动力与实现热的媒介无关，热的量完全取决于两个物体之间的温度，最后是热量的传递。&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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用现代术语，卡诺原理可能更为准确:&lt;br /&gt;
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::The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]] (1980), Chapter 5.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983), pp. 56–58.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Münster, A. (1970), p. 11.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998), pp.67–75.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008), p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Eu, B.C. (2002), pp. 32–35.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&lt;br /&gt;
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准静态卡诺循环或可逆卡诺循环的效率只取决于两种热源的温度，而且无论工作物质是什么，效率是相同的。使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。 A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;/font&amp;gt;''' &lt;br /&gt;
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===Clausius statement克劳修斯表述===&lt;br /&gt;
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The German scientist [[Rudolf Clausius]] laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work.{{sfnp|Clausius|1850}} His formulation of the second law, which was published in German in 1854, is known as the ''Clausius statement'':&lt;br /&gt;
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The German scientist Rudolf Clausius laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work. His formulation of the second law, which was published in German in 1854, is known as the Clausius statement:&lt;br /&gt;
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1850年，德国科学家'''鲁道夫·克劳修斯 Rudolf Clausius''' 通过研究热传递和功之间的关系，为热力学第二定律奠定了基础。他在1854年用德语发表的论文中所提及的热力学第二定律定义被称为克劳修斯表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.{{sfnp|Clausius|1854|p=86}}&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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不可能把热从低温物体传递到高温物体而不产生其他影响。 &lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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克劳修斯的表述使用了“'''&amp;lt;font color = '#ff8000'&amp;gt;热通道Passage Of Heat&amp;lt;/font&amp;gt;'''”的概念。&lt;br /&gt;
在热力学的讨论中，通常这意味着“能量作为热的形式的净转移” ，而不是指其他方式的转移。&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of [[refrigeration]], for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of refrigeration, for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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如果不对系统外部做功，热就不能自发地从冷区流向热区，这一点从制冷的普通经验中也可以看出。在冰箱中，只有在外部媒介也就是制冷系统的强制作用下热才会从冷区流到热区。&lt;br /&gt;
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===Kelvin statements开尔文表述===&lt;br /&gt;
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[[William Thomson, 1st Baron Kelvin|Lord Kelvin]] expressed the second law in several wordings.&lt;br /&gt;
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Lord Kelvin expressed the second law in several wordings.&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文勋爵 Lord Kelvin&amp;lt;/font&amp;gt;''' 表述了热力学第二定律。&lt;br /&gt;
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::It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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不可能从单一热源取热使之完全转换为有用的功而不产生其他影响。&lt;br /&gt;
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::It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.{{sfnp|Thomson|1851}}&lt;br /&gt;
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It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.&lt;br /&gt;
不可能通过无生命物质的作用，将物质的任何部分冷却到低于周围物体最低的温度并产生'''&amp;lt;font color = '#ff8000'&amp;gt;机械效应 Mechanical Effect&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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===Equivalence of the Clausius and the Kelvin statements克劳修斯和开尔文表述的等价性===&lt;br /&gt;
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[[Image:Deriving Kelvin Statement from Clausius Statement.svg|thumb|Derive Kelvin Statement from Clausius Statement从克劳修斯表述推导出开尔文表述]]&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed [[Carnot engine]] as shown by the figure. The [[Heat engine#Efficiency|efficiency]] of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; from the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the [[first law of thermodynamics]], as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed Carnot engine as shown by the figure. The efficiency of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat from &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the first law of thermodynamics, as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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假设有一个热机违反了开尔文定理: 也就是说，这个热机以循环的方式吸收热并将其完全转化为功，而且不产生任何影响。现在将其与反向卡诺机相比较，如图所示。&lt;br /&gt;
普通热机的效率为η，反向热机的效率为1/η。这对联合热机的净效应和唯一效应是&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; 将热从较冷热源转移到较热热源，这违反了克劳修斯表述。（这是能量守恒定律的结果，因为系统的总能量保持不变&amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;，所以&amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt;。）因此，违反开尔文表述意味着违反克劳修斯表述，即克劳修斯表述暗示了开尔文表述。我们可以用类似的方式证明开尔文表述暗示了克劳修斯表述，因此两者是等价的。&lt;br /&gt;
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===Planck's proposition普朗克命题===&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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普朗克提出了直接来自经验的如下命题。这有时被认为是他对热力学第二定律的表述，但他认为这是热力学第二定律推导的起点。&lt;br /&gt;
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::It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 86.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 319.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&lt;br /&gt;
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不可能建造一台发动机，使其在一个完整的循环中工作，并且除了提高重量和冷却热储以外不会产生任何效果。&lt;br /&gt;
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===Relation between Kelvin's statement and Planck's proposition 开尔文表述与普朗克命题的关系===&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;[[Kelvin-Planck statement]]&amp;quot; of the law, as for example in the text by [[Dirk ter Haar|ter Haar]] and [[Harald Wergeland|Wergeland]].&amp;lt;ref&amp;gt;[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966), p. 17.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;Kelvin-Planck statement&amp;quot; of the law, as for example in the text by ter Haar and Wergeland.&lt;br /&gt;
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教科书中几乎总是用“'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文-普朗克表述 Kelvin-Planck Statement&amp;lt;/font&amp;gt;'''”来称呼该定律，例如'''&amp;lt;font color = '#ff8000'&amp;gt;德克·特哈尔 Diek ter Haar&amp;lt;/font&amp;gt;''' 和'''&amp;lt;font color = '#ff8000'&amp;gt;哈拉尔德·沃格兰 Harald Wergeland&amp;lt;/font&amp;gt;''' 就是这样表述的。&lt;br /&gt;
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The '''Kelvin–Planck statement''' (or the ''heat engine statement'') of the second law of thermodynamics states that &lt;br /&gt;
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The Kelvin–Planck statement (or the heat engine statement) of the second law of thermodynamics states that &lt;br /&gt;
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热力学第二定律的开尔文-普朗克表述（或称“'''&amp;lt;font color = '#ff8000'&amp;gt;热机表述 Heat Engine Statement&amp;lt;/font&amp;gt;'''”）指出&lt;br /&gt;
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::It is impossible to devise a [[thermodynamic cycle|cyclically]] operating device, the sole effect of which is to absorb energy in the form of heat from a single [[heat reservoir|thermal reservoir]] and to deliver an equivalent amount of [[Work (physics)|work]].&amp;lt;ref name=&amp;quot;Rao&amp;quot;&amp;gt;{{cite book|last=Rao|first=Y. V. C.|title=Chemical Engineering Thermodynamics|publisher=Universities Press|isbn=978-81-7371-048-3|page=158|year=1997}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to devise a cyclically operating device, the sole effect of which is to absorb energy in the form of heat from a single thermal reservoir and to deliver an equivalent amount of work.&lt;br /&gt;
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设计一种唯一效果是从单一热源吸收热并提供等量的功的循环运行装置是不可能的。&lt;br /&gt;
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===Planck's statement 普朗克表述===&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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普朗克表述第二定律如下。&lt;br /&gt;
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::Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&amp;lt;ref name=&amp;quot;Planck 100&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 100.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Planck 463&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 463, translation by Uffink, J. (2003), p. 131.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roberts &amp;amp; Miller 382&amp;quot;&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 382. This source is partly verbatim from Planck's statement, but does not cite Planck. This source calls the statement the principle of the increase of entropy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&lt;br /&gt;
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自然界中发生的任一过程都是沿参与其中的所有物体的熵之和增加的方向进行的。在极限情况中，即对于可逆过程，熵的总和保持不变。&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for ''irreversible phenomena''.&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for irreversible phenomena.&lt;br /&gt;
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与普朗克表述非常相似的是'''&amp;lt;font color = '#ff8000'&amp;gt;乌伦贝克 Uhlenbeck&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;福特 Ford&amp;lt;/font&amp;gt;'''关于不可逆现象的表述。&lt;br /&gt;
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::... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&amp;lt;ref&amp;gt;[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963), p. 16.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&lt;br /&gt;
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……在从一个平衡态到另一个平衡态的不可逆或自发的变化中（例如，当两个物体 A 和 B 接触时的温度平衡过程），熵总是增加。&lt;br /&gt;
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===Principle of Carathéodory 卡拉西奥多里原理===&lt;br /&gt;
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&amp;lt;!-- [[Caratheodory's principle]] redirects here --&amp;gt;&lt;br /&gt;
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&amp;lt;!-- Caratheodory's principle redirects here --&amp;gt;&lt;br /&gt;
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—— caratheodory 的原理在这里重新定向——&lt;br /&gt;
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[[Constantin Carathéodory]] formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&amp;lt;ref&amp;gt;[[Constantin Carathéodory|Carathéodory, C.]] (1909).&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Constantin Carathéodory formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;康斯坦丁·卡拉西奥多里 Constantin Carathéodory&amp;lt;/font&amp;gt;'''在纯数学公理的基础上进行了热力学'''&amp;lt;font color = '#ff8000'&amp;gt;公理化formulated&amp;lt;/font&amp;gt;'''阐明。他对第二定律的陈述被称为'''&amp;lt;font color = '#ff8000'&amp;gt;卡拉西奥多里原理 Principle of Carathéodory&amp;lt;/font&amp;gt;'''，可以这样表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 68.&amp;lt;/ref&amp;gt;&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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在绝热封闭系统的任意状态 S 附近，总有从 S 出发不可达的状态。&lt;br /&gt;
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With this formulation, he described the concept of [[adiabatic accessibility]] for the first time and provided the foundation for a new subfield of classical thermodynamics, often called [[Ruppeiner geometry|geometrical thermodynamics]]. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic [[process function]], in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;Sychev1991&amp;quot;&amp;gt;{{cite book |last=Sychev |first=V. V. |title=The Differential Equations of Thermodynamics |year=1991 |publisher=Taylor &amp;amp; Francis |isbn=978-1-56032-121-7}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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With this formulation, he described the concept of adiabatic accessibility for the first time and provided the foundation for a new subfield of classical thermodynamics, often called geometrical thermodynamics. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic process function, in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;. &lt;br /&gt;
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通过这个阐明，他首次描述了'''&amp;lt;font color = '#ff8000'&amp;gt;绝热可达性 Adiabatic Accessibility&amp;lt;/font&amp;gt;'''的概念，并为经典热力学的一个新的子领域，即通常所说的'''&amp;lt;font color = '#ff8000'&amp;gt;几何热力学  Geometrical Thermodynamics&amp;lt;/font&amp;gt;'''&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;奠定了基础&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;。由卡拉西奥多里原理可以推出，作为热的能量的准静态转移是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数holonomic process function&amp;lt;/font&amp;gt;'''即&amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）准静态转移的热量值是一个可积过程函数 存疑&lt;br /&gt;
 --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）本句的修改供讨论。可积函数的英文应该是Integrable function。但是什么是完整的函数存疑，是连续的函数？&lt;br /&gt;
 --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）这里建议标注一下'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数 holonomic process function&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;&amp;gt;Münster, A. (1970), p. 45.&amp;lt;/ref&amp;gt;{{sfnp|Lieb|Yngvason|1999|p=49}}&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 69.&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium. &lt;br /&gt;
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尽管在教科书几乎惯称卡拉西奥多里原理也是第二定律的一种表述，并认为其与克劳修斯表述或开尔文-普朗克表述等价，但事实并非如此。为了得到第二定律的所有内容，需要对卡拉西奥多里原理补充普朗克表述，即等量功总是增加一个最初处于自身内部热力学平衡的封闭系统的内部能量。&lt;br /&gt;
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===Planck's principle 普朗克原理===&lt;br /&gt;
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In 1926, [[Max Planck]] wrote an important paper on the basics of thermodynamics.&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Uffink, J. (2003), pp. 129–132.&amp;lt;/ref&amp;gt; He indicated the principle&lt;br /&gt;
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In 1926, Max Planck wrote an important paper on the basics of thermodynamics. He indicated the principle&lt;br /&gt;
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1926年，'''&amp;lt;font color = '#ff8000'&amp;gt;马克斯·普朗克 Max Planck&amp;lt;/font&amp;gt;'''写了一篇关于热力学基础的重要论文。他指出了以下原理&lt;br /&gt;
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::The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt;{{sfnp |Lieb|Yngvason|1999|p=49}}&lt;br /&gt;
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The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&lt;br /&gt;
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一个封闭系统的内部能量因绝热过程增加，在整个过程中，系统的体积保持不变。&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot;&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]], Muncaster, R.G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 15.&amp;lt;/ref&amp;gt; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 81.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 457, Wikipedia editor's translation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&lt;br /&gt;
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这个公式没有提到热，没有提到温度，甚至没有提到熵，也不一定隐含地依赖于这些概念，但它暗示了第二定律的内容。一个密切相关的表述为，“摩擦力从来不做正功。”普朗克写道: “摩擦生热是不可逆的。”&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 149.&amp;lt;/ref&amp;gt; It is relevant that for a system at constant volume and [[Mole (unit)|mole numbers]], the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above. It is relevant that for a system at constant volume and mole numbers, the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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这个普朗克定理没有提到熵，是用物理术语来表述的。它与上面给出的开尔文表述密切相关。相关的是，对于恒定体积和摩尔数的系统，熵是内能的单调函数。然而，普朗克的这个原理实际上并不是普朗克对第二定律的首选表述（见前面小节），而是依赖于熵的概念。&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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Borgnakke 和 Sonntag 提出的以下表述在某种意义上是对普朗克原理的补充。他们没有将其作为第二定律的完整表述:&lt;br /&gt;
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::... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&amp;lt;ref&amp;gt;Borgnakke, C., Sonntag., R.E. (2009), p. 304.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&lt;br /&gt;
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……只有一种方法可以减少（封闭）系统的熵，将热从系统中转移出去。&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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与普朗克之前提出的原理不同，这一原理明确地用熵的变化来表示。从系统中去除物质也可以减少系统的熵。&lt;br /&gt;
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===Statement for a system that has a known expression of its internal energy as a function of its extensive state variables 一个其内能有已知表达式（其扩展状态变量的函数）的系统的表述===&lt;br /&gt;
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The second law has been shown to be equivalent to the [[internal energy]] ''U'' being a weakly [[convex function]], when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;ref&amp;gt;{{cite book |last1=van Gool |first1=W. |last2=Bruggink |first2=J.J.C. (Eds) |url= |title=Energy and time in the economic and physical sciences |publisher=North-Holland |year=1985 |pages=41–56 |quote= |isbn=978-0-444-87748-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Grubbström | first1 = Robert W. | doi = 10.1016/j.apenergy.2007.01.003 | title = An Attempt to Introduce Dynamics Into Generalised Exergy Considerations| journal = Applied Energy| volume = 84| issue = 7–8 | pages = 701–718 | year = 2007}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...). &lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;写成广泛性质（质量，体积，熵……）的函数时，第二定律被证明等价于弱凸函数内能 U。The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Corollaries 推论==&lt;br /&gt;
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===Perpetual motion of the second kind 第二类永动机===&lt;br /&gt;
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{{main article|Perpetual motion}}&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of [[first law of thermodynamics]] by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of first law of thermodynamics by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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在第二定律建立之前，许多志在发明永动机的人试图通过提取环境的巨大内能作为机器动力，以突破'''热力学第一定律 First Law of Thermodynamics''' 的限制。这种机器被称为“'''第二类永动机 Perpetual Motion Machine of the Second Kind'''”。热力学第二定律表明这种机器是不可能的。&lt;br /&gt;
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===Carnot theorem 卡诺定理===&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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Carnot's theorem (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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'''卡诺定理 Carnot's Theorem'''（1824）是一条限制任何可能的热机的最大效率的原理。效率完全取决于热源中热和冷之间的温差。 卡诺定理指出:&lt;br /&gt;
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*All irreversible heat engines between two heat reservoirs are less efficient than a [[Carnot engine]] operating between the same reservoirs.&lt;br /&gt;
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*All reversible heat engines between two heat reservoirs are equally efficient with a Carnot engine operating between the same reservoirs.&lt;br /&gt;
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* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;不可逆热机的效率低于在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机 Carnot Engine&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;可逆热机的效率与在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的卡诺机相等。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）改成同一个正确吗??????????????????????????&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as [[thermodynamic reversibility]]. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the [[Carnot cycle]]'s reversibility and was condemned to be less efficient.&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as thermodynamic reversibility. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the Carnot cycle's reversibility and was condemned to be less efficient.&lt;br /&gt;
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在他的理想模型中，热转化为功的过程可以通过逆转循环的运动而恢复，这个概念后来被称为'''&amp;lt;font color = '#ff8000'&amp;gt;热力学可逆性 Thermodynamic Reversibility&amp;lt;/font&amp;gt;'''。然而，卡诺进一步假定，一些热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;损失了，并没有转化为机械功。因此，没有一个真实的热机能够实现'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺循环 Carnot Cycle&amp;lt;/font&amp;gt;'''的可逆性，并且被认为效率较低。&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete [[caloric theory]]), rather than [[entropy]], this was an early insight into the second law.&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete caloric theory), rather than entropy, this was an early insight into the second law.&lt;br /&gt;
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该理论尽管是用热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;表述的（见被取代的'''&amp;lt;font color = '#ff8000'&amp;gt;热质说&amp;lt;/font&amp;gt;'''），而不是熵，但是它是对第二定律的早期认识。&lt;br /&gt;
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===Clausius inequality 克劳修斯不等式===&lt;br /&gt;
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The [[Clausius theorem]] (1854) states that in a cyclic process&lt;br /&gt;
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The Clausius theorem (1854) states that in a cyclic process&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;克劳修斯定理 Clausius Theorem&amp;lt;/font&amp;gt;'''（1854）指出，在一个循环的过程中&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T} \leq 0.&amp;lt;/math&amp;gt;&lt;br /&gt;
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The equality holds in the reversible case&amp;lt;ref&amp;gt;[http://scienceworld.wolfram.com/physics/ClausiusTheorem.html ''Clausius theorem''] at [[Wolfram Research]]&amp;lt;/ref&amp;gt; and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function [[entropy]]. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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The equality holds in the reversible case and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function entropy. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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等号在可逆情况下成立，严格不等号在不可逆情况下成立。可逆情况下引入状态函数熵。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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  --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）末句存疑&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我也没看懂，按照字面意思修改了一下&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）感觉修改后的句子还是怪怪的，这里标成疑难句吧 '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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===Thermodynamic temperature 热力学温度===&lt;br /&gt;
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{{main article|Thermodynamic temperature}}&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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对于任意热机，效率为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\eta = \frac {W_n}{q_H} = \frac{q_H-q_C}{q_H} = 1 - \frac{q_C}{q_H} \qquad (1)&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; is for the net work done per cycle. Thus the efficiency depends only on q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;.&lt;br /&gt;
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其中 ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; 表示每个循环所做的净功。因此效率只取决于 q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;。&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
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Carnot's theorem states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
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卡诺定理指出，所有在相同热源间运行的可逆热机的效率是相同的。&lt;br /&gt;
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Thus, any reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
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Thus, any reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
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因此，任何在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;和''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间运行的可逆热机必须具有相同的效率，也就是说，效率只是温度的函数:&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{q_C}{q_H} = f(T_H,T_C)\qquad (2).&amp;lt;/math&amp;gt;&lt;br /&gt;
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In addition, a reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
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In addition, a reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; andT&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
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另外，在温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间工作的可逆热机必须具有与由分别在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和（中间）温度 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间、在 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间的两个循环组成的系统效率相同。只有下式成立才会出现这种情况:&lt;br /&gt;
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: &amp;lt;math&amp;gt;f(T_1,T_3) = \frac{q_3}{q_1} = \frac{q_2 q_3} {q_1 q_2} = f(T_1,T_2)f(T_2,T_3).&amp;lt;/math&amp;gt;&lt;br /&gt;
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Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the [[triple point]] of water. Then for any ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the triple point of water. Then for any T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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现在考虑如下情形，&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; 是一个固定的参考温度: 水的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''&amp;lt;font color = '#ff8000'&amp;gt;三相点 Triple Point&amp;lt;/font&amp;gt;'''&amp;lt;/font&amp;gt;的温度。则对于任意 T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{f(T_1,T_3)}{f(T_1,T_2)} = \frac{273.16 \cdot f(T_1,T_3)}{273.16 \cdot f(T_1,T_2)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
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Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
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Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
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因此，如果热力学温度被定义为&lt;br /&gt;
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: &amp;lt;math&amp;gt;T = 273.16 \cdot f(T_1,T) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
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then the function ''f'', viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
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then the function f, viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
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那么函数 ''f'' 作为热力学温度的函数，为&lt;br /&gt;
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: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{T_3}{T_2},&amp;lt;/math&amp;gt;&lt;br /&gt;
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and the reference temperature ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used{{snd}}the choice here corresponds to the [[Kelvin]] scale.)&lt;br /&gt;
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and the reference temperature T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used the choice here corresponds to the Kelvin scale.)&lt;br /&gt;
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参考温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 的值为273.16。（任何参考温度和任何正值均可用——此处的选择对应开尔文标度。）&lt;br /&gt;
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===Entropy 熵===&lt;br /&gt;
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{{main article|Entropy (classical thermodynamics)}}&lt;br /&gt;
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According to the [[Clausius theorem|Clausius equality]], for a reversible process&lt;br /&gt;
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According to the Clausius equality, for a reversible process&lt;br /&gt;
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根据克劳修斯等式，对可逆过程有&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
这意味着线积分 &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; 对于可逆过程是路径无关的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot; /&amp;gt; satisfies&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer satisfies&lt;br /&gt;
&lt;br /&gt;
所以我们可以定义一个叫做熵的状态函数 S，对于可逆过程或者纯热传递满足&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \frac{\delta Q}{T} \!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the [[third law of thermodynamics]], which states that ''S'' = 0 at [[absolute zero]] for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the third law of thermodynamics, which states that S = 0 at absolute zero for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
据此，只有对上述公式进行积分，才能得到熵的差值。为了获得绝对值，我们需要&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第三定律 Third Law of Thermodynamics'''&amp;lt;/font&amp;gt;，它指出&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝对零度 Absolute Zero'''&amp;lt;/font&amp;gt;下完美晶体的 ''S'' = 0。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
对于任意不可逆过程，由于熵是一个状态函数，我们总是可以将初始状态和最终状态与一个虚拟的可逆过程联系起来，并在这条路径上积分以计算熵的差值。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the [[Clausius inequality]] on this loop,&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the Clausius inequality on this loop,&lt;br /&gt;
&lt;br /&gt;
现在把可逆过程逆过来，将其与上述不可逆过程结合。把克劳修斯不等式应用到这个循环,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;-\Delta S+\int\frac{\delta Q}{T}=\oint\frac{\delta Q}{T}&amp;lt; 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
故,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta S \ge \int \frac{\delta Q}{T} \,\!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
如果变换可逆，等号成立。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an [[adiabatic process]], then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an adiabatic process, then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
注意，若该过程是一个&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝热过程 Adiabatic Process'''&amp;lt;/font&amp;gt;，则&amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;，故&amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
能量，可用的有用工作&lt;br /&gt;
&lt;br /&gt;
{{See also|Exergy}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an ''unlimited'' heat reservoir at temperature ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' and pressure ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' {{snd}}so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an unlimited heat reservoir at temperature T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; and pressure P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
考虑将第二定律应用于孤立系统(称为整体系统或宇宙)是一个重要而具有启发性的理想情形。该系统由两部分组成：研究关心的子系统和子系统的周围环境。因为想象的环境非常大，以至于它们可以被视为一个温度为 T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 且压力为 P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 的无限热源，因此无论有多少热被转移到（或来自）子系统，周围的温度将保持T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;；无论子系统的体积膨胀（或收缩）有多大，周围环境的压力都将保持不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Whatever changes to ''dS'' and ''dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy ''S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;'' of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
Whatever changes to dS and dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt; of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
无论子系统和周围环境单独地发生什么熵的变化 ''dS''和dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;&amp;lt;/font&amp;gt;，根据第二定律，孤立总体系统的熵S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;不能减小。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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According to the [[first law of thermodynamics]], the change ''dU'' in the internal energy of the sub-system is the sum of the heat ''δq'' added to the sub-system, ''less'' any work ''δw'' done ''by'' the sub-system, ''plus'' any net chemical energy entering the sub-system ''d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;'', so that:&lt;br /&gt;
&lt;br /&gt;
According to the first law of thermodynamics, the change dU in the internal energy of the sub-system is the sum of the heat δq added to the sub-system, less any work δw done by the sub-system, plus any net chemical energy entering the sub-system d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, so that:&lt;br /&gt;
&lt;br /&gt;
根据热力学第一定律，子系统内能的变化 dU 是加在子系统上的热δq的和&amp;lt;font color = 'blue'&amp;gt;&amp;lt;/font&amp;gt;，减去子系统所做的任何功w，再加上进入子系统的任何净化学能 d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;，因此&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the [[chemical potential]]s of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the chemical potentials of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
其中μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;是外部环境中'''&amp;lt;font color = '#ff8000'&amp;gt;化学形态 chemical species&amp;lt;/font&amp;gt;'''的化学势。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
现在热量离开热源进入子系统是&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学△ qtr (- dS r) le tr dS / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
在这个过程中，首先使用了经典热力学中熵的定义(在统计热力学中，熵变、温度和吸收热量之间的关系'''&amp;lt;font color = '#32CD32'&amp;gt;可以将其推导出来 can be derived&amp;lt;/font&amp;gt;''') ，然后从上面的公式可以推导出第二定律的不等式。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work ''δw'' done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work δw done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
因此，子系统所做的任何净功δw必须服从&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学增量 w  le-dU + tds + sum  mu { iR } dN i，/ math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work ''δw'' done by the subsystem into the ''useful'' work ''δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt;'' that can be done ''by'' the sub-system, over and beyond the work ''p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV'' done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work δw done by the subsystem into the useful work δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; that can be done by the sub-system, over and beyond the work p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
将子系统所做的功δw划分为子系统可以完成的有用功δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; ，除了子系统在周围外部压力下膨胀所做的功p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV外，给出以下可用功（'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''）关系式:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the ''availability'' or ''[[exergy]]'' ''E'' of the subsystem,&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the availability or exergy E of the subsystem,&lt;br /&gt;
&lt;br /&gt;
为方便起见，可以把右边定义为热力学势的精确导数，称为子系统的'''&amp;lt;font color = 'ff8000'&amp;gt;可用性 Availability &amp;lt;/font&amp;gt;'''或'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;因此，第二定律意味着，对于任何可以简单地被视为分为一个子系统和一个与之接触的无限温度和压力&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;储存器&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt; '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;热源 Reservoir&amp;lt;/font&amp;gt;''' 的过程，The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done ''by'' the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done ''on'' the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done by the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done on the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
也就是。子系统有用能的变化加上子系统所做的有用功(或者，子系统有用能的变化减去除了'''&amp;lt;font color = '#ff8000'&amp;gt;压力热源&amp;lt;/font&amp;gt;'''外任何对系统做的功&amp;lt;/font&amp;gt;)必须小于或等于零。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper ''infinite-reservoir-like'' reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in ''E'' for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper infinite-reservoir-like reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in E for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
总之，如果选择一个合适的类似于无限库的参考状态作为现实世界中的系统环境，&lt;br /&gt;
则第二定律预测不可逆过程的''E''值减少，可逆过程的''E''值不变。&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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This expression together with the associated reference state permits a [[design engineer]] working at the macroscopic scale (above the [[thermodynamic limit]]) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (''Also, see [[process engineer]]''). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (''See [[Exergy efficiency|second law efficiency]]''.)&lt;br /&gt;
&lt;br /&gt;
This expression together with the associated reference state permits a design engineer working at the macroscopic scale (above the thermodynamic limit) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (Also, see process engineer). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (See second law efficiency.)&lt;br /&gt;
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这个表达式和相关的参考状态允许设计工程师在宏观尺度（高于热力学极限）下使用第二定律，而无需直接测量或考虑整个孤立系统中的熵变。（另见'''&amp;lt;font color = '#ff8000'&amp;gt;工艺工程师process engineer&amp;lt;/font&amp;gt;'''）。这些变化已经在假设中被考虑到，该假设认为所考虑的系统可以在不改变参考状态的情况下与参考状态达到平衡。将其与可逆理想&amp;lt;font color = 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;进行比较，还可以找到一个过程或过程集合的效率（见'''&amp;lt;font color = '#ff8000'&amp;gt;第二定律效率second law efficiency&amp;lt;/font&amp;gt;'''）&lt;br /&gt;
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This approach to the Second Law is widely utilized in [[engineering]] practice, [[environmental accounting]], [[systems ecology]], and other disciplines.&lt;br /&gt;
&lt;br /&gt;
This approach to the Second Law is widely utilized in engineering practice, environmental accounting, systems ecology, and other disciplines.&lt;br /&gt;
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第二定律的这种方法被广泛应用于'''&amp;lt;font color = '#ff8000'&amp;gt;工程实践engineering practice&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;环境会计environmental accounting&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;系统生态学systems ecology&amp;lt;/font&amp;gt;'''等其他学科。&lt;br /&gt;
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===The second law in chemical thermodynamics===&lt;br /&gt;
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化学热力学的第二定律&lt;br /&gt;
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For a [[spontaneous process|spontaneous chemical process]] in a closed system at constant temperature and pressure without non-''PV'' work, the Clausius inequality Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;'' transforms into a condition for the change in [[Gibbs free energy]] &lt;br /&gt;
&lt;br /&gt;
For a spontaneous chemical process in a closed system at constant temperature and pressure without non-PV work, the Clausius inequality ΔS &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt; transforms into a condition for the change in Gibbs free energy &lt;br /&gt;
&lt;br /&gt;
对于一个&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;封闭系统中的自发化学过程，在没有 non-PV 功的情况下，克劳修斯不等式Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;''由于'''&amp;lt;font color = '#ff8000'&amp;gt;吉布斯自由能Gibbs free energy&amp;lt;/font&amp;gt;'''的变化而转化为：&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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: &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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or d''G'' &amp;lt; 0. For a similar process at constant temperature and volume, the change in [[Helmholtz free energy]] must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;/&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; The chemical equilibrium condition at constant ''T'' and ''p'' without electrical work is d''G'' = 0.&lt;br /&gt;
&lt;br /&gt;
or dG &amp;lt; 0. For a similar process at constant temperature and volume, the change in Helmholtz free energy must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products. The chemical equilibrium condition at constant T and p without electrical work is dG = 0.&lt;br /&gt;
&lt;br /&gt;
或者 dG &amp;lt; 0。对于一个相似的&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;过程，'''&amp;lt;font color = '#ff8000'&amp;gt;亥姆霍兹自由能 Helmholtz free energy &amp;lt;/font&amp;gt;'''的变化一定是负的， &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;。因此，一个负的自由能(G 或 A)变化是过程自发的必要条件。这是热力学第二定律在化学中最有用的形式，其中自由能的变化可以通过'''&amp;lt;font color = '#ff8000'&amp;gt;表列生成焓 Tabulated Enthalpies of Formation&amp;lt;/font&amp;gt;'''和反应物及产物的标准摩尔熵来计算。在温度和压力&amp;lt;/font&amp;gt;不变的情况下，化学平衡条件是 dG = 0。&lt;br /&gt;
&lt;br /&gt;
  -- [[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） tabulated enthalpies of formation 表列生成焓？？&lt;br /&gt;
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==History==&lt;br /&gt;
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历史&lt;br /&gt;
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{{See also|History of entropy}}&lt;br /&gt;
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[[File:Sadi Carnot.jpeg|thumb|upright|Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique]].]]&lt;br /&gt;
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Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique.]]&lt;br /&gt;
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尼古拉·莱昂纳尔·萨迪·卡诺穿着传统的巴黎综合理工学院制服&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to [[Nicolas Léonard Sadi Carnot]] in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to Nicolas Léonard Sadi Carnot in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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卡诺在1824年提出热转化为机械功的第一个理论。他是第一个正确认识到了转换效率取决于发动机和环境之间的温差的人。&lt;br /&gt;
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Recognizing the significance of [[James Prescott Joule]]'s work on the conservation of energy, [[Rudolf Clausius]] was the first to formulate the second law during 1850, in this form: heat does not flow ''spontaneously'' from cold to hot bodies. While common knowledge now, this was contrary to the [[caloric theory]] of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
&lt;br /&gt;
Recognizing the significance of James Prescott Joule's work on the conservation of energy, Rudolf Clausius was the first to formulate the second law during 1850, in this form: heat does not flow spontaneously from cold to hot bodies. While common knowledge now, this was contrary to the caloric theory of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''认识到'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;焦耳James Prescott Joule&amp;lt;/font&amp;gt;'''在能量守恒方面工作的重要性后，在1850年提出了第二定律的第一个公式，在这个公式中: 热不会自发地从冷物体流向热物体。虽然现在这是常识，但是这与当时流行的热理论相反，当时的热理论认为热是一种流体。从这些他推断出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 萨迪卡诺定律the principle of Sadi Carnot&amp;lt;/font&amp;gt;'''和熵的定义(1865年)。&lt;br /&gt;
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Established during the 19th century, the [[Kelvin-Planck statement|Kelvin-Planck statement of the Second Law]] says, &amp;quot;It is impossible for any device that operates on a [[cyclic process|cycle]] to receive heat from a single [[heat reservoir|reservoir]] and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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Established during the 19th century, the Kelvin-Planck statement of the Second Law says, &amp;quot;It is impossible for any device that operates on a cycle to receive heat from a single reservoir and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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19世纪提出的开尔文-普朗克第二陈述(Kelvin-Planck)表示：“任何循环运行的设备都不可能从单个热源接收热并产生净功。”这被证明与克劳修斯的陈述等价。&lt;br /&gt;
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The [[ergodic hypothesis]] is also important for the [[Boltzmann]] approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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The ergodic hypothesis is also important for the Boltzmann approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;遍历假设ergodic hypothesis&amp;lt;/font&amp;gt;'''对'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼方法Boltzmann approach&amp;lt;/font&amp;gt;'''也很重要。遍历假设认为在很长一段时间内，在具有相同能量的微观态相空间的某些区域所花费的时间与这个区域的体积成正比，即在很长一段时间内，所有可访问的微观状态出现/成立的可能性都是一样的。等价于说，&amp;lt;/font&amp;gt;它表明时间平均值和统计集合的平均值是相同的。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 觉得加上出现/成立好一点？&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a [[Macroscopic bodies|macroscopic system]]. This doctrine is obsolescent.&amp;lt;ref&amp;gt;Denbigh, K.G., Denbigh, J.S. (1985). ''Entropy in Relation to Incomplete Knowledge'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-25677-1}}, pp. 43–44.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Grandy, W.T., Jr (2008). ''Entropy and the Time Evolution of Macroscopic Systems'', Oxford University Press, Oxford, {{ISBN|978-0-19-954617-6}}, pp. 55–58.&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lambert&amp;gt;[http://entropysite.oxy.edu Entropy Sites — A Guide] Content selected by [[Frank L. Lambert]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a macroscopic system. This doctrine is obsolescent.&lt;br /&gt;
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克劳修斯还提出了一种传统的学说，他认为熵可以被理解为宏观系统中的'''&amp;lt;font color = '#ff8000'&amp;gt;分子“无序”molecular 'disorder'&amp;lt;/font&amp;gt;'''，但这种学说已经过时了。&lt;br /&gt;
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===Account given by Clausius===&lt;br /&gt;
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作者: 克劳修斯&lt;br /&gt;
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[[File:Clausius-1.jpg|thumb|upright|Rudolf Clausius]]&lt;br /&gt;
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Rudolf Clausius&lt;br /&gt;
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鲁道夫 · 克劳修斯&lt;br /&gt;
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In 1856, the German physicist [[Rudolf Clausius]] stated what he called the &amp;quot;second fundamental theorem in the [[mechanical theory of heat]]&amp;quot; in the following form:{{sfnp|Clausius|1867}}&lt;br /&gt;
&lt;br /&gt;
In 1856, the German physicist Rudolf Clausius stated what he called the &amp;quot;second fundamental theorem in the mechanical theory of heat&amp;quot; in the following form:&lt;br /&gt;
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1856年，德国物理学家'''&amp;lt;font color = '#ff8000'&amp;gt;鲁道夫 • 克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''阐述了他所谓的“热力学理论中的第二个基本定理second fundamental theorem in the mechanical theory of heat” ，其形式如下:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''Q'' is heat, ''T'' is temperature and ''N'' is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
&lt;br /&gt;
where Q is heat, T is temperature and N is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
&lt;br /&gt;
其中 Q 是热，T 是温度，N 是一个循环过程中所有非补偿的相变的“等价值”。后来在1865年，克劳修斯将“等价值”定义为熵。基于这个理论，同一年，第二定律最著名的版本在4月24日苏黎世哲学学会的一次演讲中被提出，在演讲的最后克劳修斯总结道:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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宇宙的熵趋于最大&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. [[universe]], as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. universe, as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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这句话是第二定律最著名的陈述。由于其语言松散模糊，如“宇宙universe”，和缺乏具体的条件，如“开放open”，“封闭closed”，或“孤立isolated”，许多人认为这一简单的陈述意味着热力学第二定律几乎适用于每一个可以想象的主题。这不是真的；这句话只是一个更广泛和更精确的描述的简化版本。&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an [[isolated system]] undergoing an arbitrary transformation is:&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an isolated system undergoing an arbitrary transformation is:&lt;br /&gt;
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就时间变化而言，&amp;lt;font color = 'blue'&amp;gt;一个&amp;lt;/font&amp;gt;经历任意变换的孤立系统&amp;lt;font color = 'blue'&amp;gt;的&amp;lt;/font&amp;gt;第二定律的数学表述是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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where&lt;br /&gt;
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where&lt;br /&gt;
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这里''S'' 是系统的熵&lt;br /&gt;
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: ''S'' is the entropy of the system and&lt;br /&gt;
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 S is the entropy of the system and&lt;br /&gt;
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: ''t'' is [[time]].&lt;br /&gt;
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 t is time.&lt;br /&gt;
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T是时间&lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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!-- 可逆过程需要与周围环境保持平衡。这对于一个孤立的系统是不可能的。因此，关于可逆过程的讨论已经转移到对封闭系统的分析----&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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平衡后用等号。另一种表述孤立系统第二定律的方法是：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of [[entropy production]] by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of entropy production by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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用&amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt;表示系统内所有进程'''&amp;lt;font color = '#ff8000'&amp;gt;熵产生Entropy Production&amp;lt;/font&amp;gt;'''的速率之和。这个公式的优点是它显示了熵产生的效果。熵产生率是一个非常重要的概念，因为它决定（或限制）热机的效率。乘以环境温度&amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt;，它给出所谓的耗散能&amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;。&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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封闭系统的第二定律(允许热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;交换和移动边界，但不允许物质交换)的表达式是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here&lt;br /&gt;
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Here&lt;br /&gt;
这里&lt;br /&gt;
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: &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; 是进入系统的热流。&lt;br /&gt;
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: &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
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 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; 是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;进入系统时的温度。&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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只有在系统内发生可逆过程的情况下等号才成立&amp;lt;/font&amp;gt;如果发生不可逆过程（在实际操作系统中就是这种情况）,则“＞”成立。如果系统有多处供热，必须求相应项的代数和。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 因为是中文环境所以统一用中文标点&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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对于开放系统(也允许物质交换) :&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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这里&amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; 是进入系统的熵流，与进入系统的物质流有关。它不应该与熵的时间导数混淆。如果物质在几个地方被供给，需要取这些贡献的代数和。&lt;br /&gt;
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==Statistical mechanics==&lt;br /&gt;
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统计力学&lt;br /&gt;
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[[Statistical mechanics]] gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a [[microstate (statistical mechanics)|microstate]] of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where ''N'' is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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Statistical mechanics gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a microstate of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where N is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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统计力学通过假设物质是由不断运动的原子和分子组成的，来对第二定律给出了解释。系统中每个粒子的一组特定的位置和速度称为系统的微观状态，由于系统的不断运动，系统不断地改变其微观状态。统计力学假设，在平衡状态下，系统处于&amp;lt;s&amp;gt;的&amp;lt;/s&amp;gt;每个微观状态的可能性是相等的。这个假设的提出直接导致第二定律必须子啊统计学意义上成立&amp;lt;/font&amp;gt;也就是说，第二定律在平均意义上成立，其中统计学变异取决于数量级1/{{radic|''N''}}，其中 N 是系统中粒子数&amp;lt;/font&amp;gt;。在日常(宏观)情况下，违反第二定律的概率几乎为零。然而，对于粒子数量很少的系统，热力学参数，包括熵，可能显示出与第二定律预测结果的显著的统计偏差。经典热力学理论不处理这些统计变量。&lt;br /&gt;
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（by Jie XIANG) 在通过假定一种物质由不断运动的原子和分子组成的前提下，统计力学对热力学第二定律进行了解释。系统中每个粒子其特定的位置和速度组成为系统的微观状态，由于（原子和分子的）不断运动，系统也持续改变其微观状态。统计力学假设，在系统力平衡的情况下，其微观状态其实是等可能发生的，进而能够得出结论：热力学第二定律必须在统计学意义上成立。也就是说，第二定律将保持均值不变， 其统计变化为1 /√N，N为系统中的粒子数。在日常(宏观)情况下，违反热力学第二定律的概率几乎为零，但是，对于粒子数量非常少的系统，其热力学参数（包括熵）可能会显示出与第二定律所预测的明显统计偏差。然而经典热力学理论并不处理这些统计变量。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 为什么会有两个？迷茫。&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）是不是两个译者翻译的？如果第二段翻译不用，可以括号或删除线标一下&lt;br /&gt;
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==Derivation from statistical mechanics==&lt;br /&gt;
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从统计力学导出&lt;br /&gt;
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{{Further information|H-theorem}}&lt;br /&gt;
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The first mechanical argument of the [[Kinetic theory of gases]] that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to [[James Clerk Maxwell]] in 1860;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Gyenis | first1 = Balazs | doi = 10.1016/j.shpsb.2017.01.001 | title = Maxwell and the normal distribution: A colored story of probability, independence, and tendency towards equilibrium | journal = Studies in History and Philosophy of Modern Physics | volume = 57 | pages = 53–65 | year = 2017| arxiv = 1702.01411 | bibcode = 2017SHPMP..57...53G }}&amp;lt;/ref&amp;gt; [[Ludwig Boltzmann]] with his [[H-theorem]] of 1872 also argued that due to collisions gases should over time tend toward the [[Maxwell–Boltzmann distribution]].&lt;br /&gt;
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The first mechanical argument of the Kinetic theory of gases that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to James Clerk Maxwell in 1860; Ludwig Boltzmann with his H-theorem of 1872 also argued that due to collisions gases should over time tend toward the Maxwell–Boltzmann distribution.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;气体动力学Kinetic theory of gases&amp;lt;/font&amp;gt;'''理论的第一个力学论证由'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦James Clerk Maxwell&amp;lt;/font&amp;gt;'''在1860年给出，指出分子碰撞引起温度均衡化，因此整体趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;平衡 Equilibrium &amp;lt;/font&amp;gt;'''； '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼Ludwig Boltzmann&amp;lt;/font&amp;gt;'''在1872年提出的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; H 定理H-theorem&amp;lt;/font&amp;gt;'''也认为，气体由于碰撞应该随着时间的推移趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦-波兹曼分布Maxwell–Boltzmann distribution&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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Due to [[Loschmidt's paradox]], derivations of the Second Law have to make an assumption regarding the past, namely that the system is [[Correlation and dependence|uncorrelated]] at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a [[boundary condition]], and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the [[Big Bang]]), though [[Boltzmann brain|other scenarios]] have also been suggested.&amp;lt;ref name=&amp;quot;Hawking AOT&amp;quot;&amp;gt;{{cite journal|last=Hawking|first=SW|title=Arrow of time in cosmology|journal=Phys. Rev. D|year=1985|volume=32|issue=10|pages=2489–2495|doi=10.1103/PhysRevD.32.2489|pmid=9956019|bibcode = 1985PhRvD..32.2489H }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last = Greene | first = Brian | authorlink = Brian Greene | title = The Fabric of the Cosmos | url = https://archive.org/details/fabricofcosmossp00gree | url-access = registration | publisher = Alfred A. Knopf | year = 2004 | page = [https://archive.org/details/fabricofcosmossp00gree/page/171 171] | isbn = 978-0-375-41288-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lebowitz&amp;gt;{{cite journal|last=Lebowitz|first=Joel L.|title= Boltzmann's Entropy and Time's Arrow|journal=Physics Today|date=September 1993|volume=46|issue=9|pages=32–38|url=http://users.df.uba.ar/ariel/materias/FT3_2008_1C/papers_pdf/lebowitz_370.pdf|accessdate=2013-02-22|doi=10.1063/1.881363|bibcode = 1993PhT....46i..32L }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Due to Loschmidt's paradox, derivations of the Second Law have to make an assumption regarding the past, namely that the system is uncorrelated at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a boundary condition, and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the Big Bang), though other scenarios have also been suggested.&lt;br /&gt;
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由于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论Loschmidt's paradox&amp;lt;/font&amp;gt;'''，第二定律的导出必须对过去做出一个假设，即系统在过去的某个时刻是不相关的；这样的假设允许进行简单的概率处理。这个假设通常被认为是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边界条件boundary condition&amp;lt;/font&amp;gt;'''，因此热力学第二定律最终是过去某个地方的初始条件的结果，可能是在宇宙的开始('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;大爆炸 the Big Bang&amp;lt;/font&amp;gt;''') ，尽管也有人提出了其他场景。&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the [[Statistical mechanics#Fundamental postulate|fundamental postulate]], also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy.{{citation needed|date=August 2012}} The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the fundamental postulate, also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy. The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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基于这些假设，在统计力学中，第二定律不是一个假设，而是'''统计力学基本假设Statistical mechanics#Fundamental postulate|fundamental postulate'''的一个结果，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;等先验概率假设 equal prior probability postulate&amp;lt;/font&amp;gt;'''。这个基本假设表明，只要一个人清楚地知道，简单的概率论证只适用于未来，而对于过去，有辅助的信息来源告诉我们，它是低熵的。如果我们把熵的概念限制在热平衡系统中，那么热力学第二定律的第一部分即热孤立系统的熵只能增加，是等先验概率假设的一个显然结果。处于热平衡状态的孤立系统且具有能量&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;的熵表示为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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其中&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 是处于 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;E +\delta E&amp;lt;/math这个小区间内的量子态数目。这里的 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 是一个宏观上很小的固定能量区间。严格地说，这意味着熵取决于对&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;的选择。然而在热力学极限下（例如无穷大系统的极限），狭义的熵(单位体积或单位质量的熵)不依赖于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;。&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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假设我们有一个孤立系统，其宏观状态由许多变量指定。这些宏观变量可以是总体积、活塞在系统中的位置等。从而&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;将取决于这些变量的值。如果某个变量不是固定的（我们不会在某个位置夹住活塞) ，那么因为在平衡状态下到达所有可到达状态的可能性是相等的，平衡状态下的自由变量会使 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，因为这是平衡状态下最可能的情况。&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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如果该变量最初固定到某个值然后释放，当达到新的平衡时，变量将自我调整使得 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，这意味着熵将增加或保持不变（如果变量初始固定的值恰好是平衡值）。&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's [[H-theorem]], however, proves that the quantity {{math|''H''}} increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's H-theorem, however, proves that the quantity  increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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假设我们初始位于一个平衡状态，突然移除了对一个变量的约束。我们做完这件事的时候，可达到的微观状态的数为&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;，但是系统还没有达到平衡，所以系统处于某些可达到的状态的实际概率还不等于先验概率 &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;。我们已经知道，最终的平衡状态相对于之前的平衡状态，熵会增加或者保持不变。然而，玻耳兹曼的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;H定理H-theorem&amp;lt;/font&amp;gt;'''证明系统在不处于平衡态的期间，那个量作为时间的函数单调增加。&lt;br /&gt;
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===Derivation of the entropy change for reversible processes===&lt;br /&gt;
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可逆过程熵变的推导&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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热力学第二定律的第二部分指出，经历可逆过程的系统的熵变为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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其中温度定义为:&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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See [[Microcanonical ensemble|here]] for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the [[adiabatic theorem]] of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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See here for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the adiabatic theorem of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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请参阅'''此处Microcanonical ensemble|here'''查看该定义的正当性。假设系统有一些可以改变的外部参数 x。一般来说，系统的能量本征态将依赖于 x。根据量子力学的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;绝热定理adiabatic theorem&amp;lt;/font&amp;gt;'''，在系统哈密顿量无限缓慢变化的极限下，系统将保持在相同的'''&amp;lt;font color = '#ff8000'&amp;gt;能量本征态 energy eigenstate&amp;lt;/font&amp;gt;'''，因此系统的能量会随着其所在能量本征态的能量变化而变化。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能量本征态 不懂翻译是否正确&lt;br /&gt;
  --[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)我觉得是这样的--[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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对于外部变量 x 可以定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;广义力generalized force&amp;lt;/font&amp;gt;''' X ，因此如果 x 增加 dx，那么&amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; 就是系统所做的功。例如，如果 x 是体积，那么 X 就是压强。一个已知处于能量本征态&amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt;的系统的广义力为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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由于系统可以在&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 区间内的任意能量本征态内，我们将系统的广义力定义为上述表达式的期望值:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
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为了计算平均值，我们按照能量本征态来划分&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt;，通过计算有多少能量本征态的&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;值在区间在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;之间。把这个数字叫做为 &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;，我们有:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The average defining the generalized force can now be written:&lt;br /&gt;
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The average defining the generalized force can now be written:&lt;br /&gt;
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根据平均值定义的广义力现在可以写成:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
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We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
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我们可以把它和由恒定能量 E 下的 x 导出来的熵联系起来。假定我们把 x 改变至 x + dx。然后因为能量本征态依赖于 x，  &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 将会改变，这导致能量本征态进入或超出&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; 之间的范围。让我们再次关注&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; 处于 &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt; 之间的能量本征态。由于这些能量本征态的能量增加了 Y dx，所有这些在 E-Y dx 到 E 之间能量本征态都从 E 以下移动到 E 以上。 因此有&lt;br /&gt;
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: &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
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such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
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这些的能量本征态。如果&amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;，则所有这些能量本征态将移动到 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;的范围内，使得&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增加。从&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上的能量本征态数目为 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;。它们的差&lt;br /&gt;
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: &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
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is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
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因此是 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增长的净贡献。请注意如果 Y dx 大于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;，那么将会有能量本征态从 E 以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上。它们在&amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;中都有计数，因此上述表达式在这种情况下也是有效的。&lt;br /&gt;
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Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
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Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
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将上面的表达式表示为对 E 的导数，并且对 Y 求和得到表达式:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
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The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
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&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;的对数关于x的导数由以下方式给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
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The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
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第一项是集约型的，即它不能根据系统大小进行缩放。相反，最后一项跟随逆系统的大小而缩放，因此将在热力学极限中消失。因此我们发现:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Combining this with&lt;br /&gt;
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Combining this with&lt;br /&gt;
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将这个和下面式子结合&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Gives:&lt;br /&gt;
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Gives:&lt;br /&gt;
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给出：&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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===Derivation for systems described by the canonical ensemble===&lt;br /&gt;
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正则系综系统的推导&lt;br /&gt;
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If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the [[canonical ensemble]]:&lt;br /&gt;
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If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the canonical ensemble:&lt;br /&gt;
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如果一个系统与某个温度为T的热浴热接触，那么在平衡状态下，关于能量本征值的概率分布值由'''&amp;lt;font color = '#ff8000'&amp;gt;正则系综canonical ensemble&amp;lt;/font&amp;gt;'''给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the [[Partition function (statistical mechanics)|partition function]]. We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the partition function. &amp;lt;font color = 'red'&amp;gt;We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. &amp;lt;/font&amp;gt;It follows from the general formula for the entropy:&lt;br /&gt;
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这里 Z 是一个使所有概率之和归一化到 1 的因子，这个函数被称为'''&amp;lt;font color = '#ff8000'&amp;gt;配分函数Partition function (statistical mechanics)|partition function&amp;lt;/font&amp;gt;'''。现在我们考虑对温度和能级所依赖的外部参数的无限小的可逆改变。它遵循熵的一般公式:&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能级依赖温度吗？即“现在我们考虑……的可逆改变”当中，“on which the energy levels depend”修饰（1）in the external parameters，还是（2）in the temperature and in the external parameters&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）修饰in the external parameters&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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that&lt;br /&gt;
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that&lt;br /&gt;
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以及&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
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Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
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把正则系综的数学形式 &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; 插入，可以得到:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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生命体&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as [[What is Life?|Erwin Schrödinger]], [[Léon Brillouin]]&amp;lt;ref&amp;gt;Léon Brillouin [https://books.google.com/books?hl=en&amp;amp;lr=&amp;amp;id=tPXVbiw_1P0C ''Science and Information Theory''] (Academic Press, 1962) (Dover, 2004)&amp;lt;/ref&amp;gt; and [[Life and Energy|Isaac Asimov]]. It is also the topic of current{{When|date=July 2019}} research.{{Citation needed|date=July 2019}}&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as Erwin Schrödinger, Léon Brillouin and Isaac Asimov. It is also the topic of current research.&lt;br /&gt;
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表述热力学主要有两种方式：(a)描述从一种热力学平衡状态到另一种状态的路径，(b)通过系统保持不变但周围环境的总熵增加的循环过程。这两种方法有助于理解生命过程。这个话题大大超出了本文的范围，但是已经有一些研究者考虑过这个问题，比如'''&amp;lt;font color = '#ff8000'&amp;gt;薛定谔Erwin Schrödinger&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;布里渊Léon Brillouin&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;阿西莫夫Isaac Asimov&amp;lt;/font&amp;gt;'''。这也是当前研究的主题。&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of [[metabolism]], give out breakdown products and heat. Plants [[Photosynthesis|take in radiative energy]] from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of metabolism, give out breakdown products and heat. Plants take in radiative energy from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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从近似的角度来看，生命体可以被认为是(b)的一个例子。近似地，一只动物的身体状态每天循环，使得它几乎没有什么变化。动物吸收食物、水和氧气，经过'''&amp;lt;font color = '#ff8000'&amp;gt;新陈代谢metabolism&amp;lt;/font&amp;gt;'''，输出分解的产物和热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;。植物吸收来自太阳的辐射能量，这可以认为是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;，以及二氧化碳和水，然后它们释放氧气。它们就是这样生长的。&amp;lt;font color = 'blue'&amp;gt;它们&amp;lt;/font&amp;gt;最终会死亡，尸体腐烂，大部分重新变成二氧化碳和水。这可以看作是一个循环过程。总的来说，阳光来自一个高温的源——太阳，它的能量被传递到一个较低的温度源，即向太空辐射。这个过程使得植物周围环境的熵增加。因此从循环过程的角度来看，动物和植物服从热力学第二定律。简单的热机效率概念很难适用于这个问题，因为它们假定系统是封闭的。&lt;br /&gt;
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From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to [[Non-equilibrium thermodynamics|unsettled current debate or research]]. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to unsettled current debate or research. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
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从(a)的热力学观点考虑，即考虑从一个平衡状态到另一个平衡状态的路径，只会产生一个粗略近似的图像，因为生命体从来不会处于热力学平衡状态。生物体经常必须被认为是开放的系统，因为它们吸收营养物质并排出废弃物。开放系统热力学目前通常从一个热力学平衡状态到另一个状态的路径的角度来考虑，或者是考虑局部热力学平衡近似下的流。生命体的问题可以通过假定一个流不变的稳态的近似来进一步简化。对于这样的近似，目前有很多关于熵产生的一般原理的未解决的争论或研究。尽管如此，从热力学第二定律的这个角度出发衍生出来的想法对生物是有启发意义的。&lt;br /&gt;
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==Gravitational systems==&lt;br /&gt;
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== Gravitational systems 重力系统 ==&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive [[heat capacity]], meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;&amp;gt;Grandy, W.T. (Jr) (2008), p. 151.&amp;lt;/ref&amp;gt; Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive heat capacity, meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it. Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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在不需要对其广义相对论解释的系统中，物体始终具有正热容，这意味着温度随能量而升高。因此，当能量从高温物体流向低温物体时，发射源温度降低而冷源温度升高；因此，温差会随着时间的流逝而减小。对于引力很重要并且需要广义相对论的系统而言，情况并非总是如此。这样的系统可以自发地向质量和能量不均匀的分布转变。这适用于大规模的宇宙，因此可能很难或不可能对它应用第二定律。除此之外，广义相对论描述的系统的热力学超出了本文的范围。&lt;br /&gt;
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==Non-equilibrium states==&lt;br /&gt;
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== Non-equilibrium states 非平衡状态 ==&lt;br /&gt;
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The theory of classical or [[thermodynamic equilibrium|equilibrium thermodynamics]] is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Callen, H.B. (1960/1985), p. 15.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The theory of classical or equilibrium thermodynamics is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&lt;br /&gt;
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经典热力学或平衡热力学理论是理想化的。其主要假定或假设（通常甚至没有明确地陈述），是基于系统处在自身内部的热力学平衡状态。通常，在自然界可能发现的，在给定时间包含物理系统的空间区域，其热力学平衡状态并不是能用最严格的术语来表示。用较宽泛的术语来说，整个宇宙中没有任何东西是或曾经是真正处于精确的热力学平衡状态中。&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of [[thermodynamic equilibrium]]. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable [[thermal fluctuations|fluctuations]]. There is an exception, the case of [[critical point (thermodynamics)|critical states]], which exhibit to the naked eye the phenomenon of [[critical opalescence]]. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of thermodynamic equilibrium. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable fluctuations. There is an exception, the case of critical states, which exhibit to the naked eye the phenomenon of critical opalescence. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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为了进行物理分析，通常做一个热力学平衡的假设就足够方便可行。 这样的假设可能依赖于反复试验和试错来证明其合理性。如果假设是合理的，那么它通常会非常有价值，因为它使热力学理论成为可能。平衡假设的要素是，观察到的系统会无限期地保持不变，并且因为系统中有很多粒子，以至于完全可以忽略其微粒的本质。通常在这种平衡假设下，不存在一个宏观上可检测到的波动。临界状态是一个例外，肉眼可以观察到临界'''&amp;lt;font color = '#ff8000'&amp;gt;乳光现象opalescence&amp;lt;/font&amp;gt;'''。对于临界状态的实验室研究，需要非常长的观察时间。&lt;br /&gt;
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In all cases, the assumption of [[thermodynamic equilibrium]], once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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In all cases, the assumption of thermodynamic equilibrium, once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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在所有情况下，一旦做出了热力学平衡的假设，则作为一个结果意味着假定中的能改变系统熵的候选波动不存在。&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 190.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&lt;br /&gt;
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物理系统很容易发生内部宏观变化，其速度之快足以使熵的恒定性假设失效。或物理系统中的粒子太少，以至于微粒的本质在可观测的波动中显而易见。那么热力学平衡的假设就会被放弃。对于非平衡态，熵没有绝对的通俗定义。&lt;br /&gt;
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There are intermediate cases, in which the assumption of local [[thermodynamic equilibrium]] is a very good approximation,&amp;lt;ref&amp;gt;Gyarmati, I. (1967/1970), pp. 4-14.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Glansdorff, P., Prigogine, I. (1971).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003).&amp;lt;/ref&amp;gt; but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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There are intermediate cases, in which the assumption of local thermodynamic equilibrium is a very good approximation, but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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还有一些中间情况，其中局部热力学平衡的假设是一个非常好的近似，但严格地说它仍然是一个近似值，不是理论上的理想值。&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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对于一般的非平衡状态，考虑其他量的统计力学定义可能是有用的，这些量可以方便地称为“熵”，但是它们不应该与第二定律正确定义的熵混淆或合并。这些其他量确实属于统计力学，而不属于第二定律的主要领域——热力学。&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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宏观上可观察到的波动的物理学超出了本文的范围。&lt;br /&gt;
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==Arrow of time==&lt;br /&gt;
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== Arrow of time 时间之箭 ==&lt;br /&gt;
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时间之箭&lt;br /&gt;
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{{Further information|Entropy (arrow of time)}}Thermodynamic Asymmetry in Time&lt;br /&gt;
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Thermodynamic Asymmetry in Time&lt;br /&gt;
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时间中的热力学不对称性&lt;br /&gt;
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{{See also|Arrow of time}}&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with notions that have been observed of the fundamental laws of physics, namely [[CPT symmetry]], since the second law applies statistically, it is hypothesized, on time-asymmetric ''boundary conditions''.&amp;lt;ref&amp;gt;{{cite web|first=Craig|last=Callender|url=https://plato.stanford.edu/archives/fall2011/entries/time-thermo/|title=Thermodynamic Asymmetry in Time|encyclopedia=Stanford Encyclopedia of Philosophy|date=29 July 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with symmetries observed in the fundamental laws of physics (particularly CPT symmetry) since the second law applies statistically on time-asymmetric boundary conditions.[78] The second law has been related to the difference between moving forwards and backwards in time, or to the principle that cause precedes effect (the causal arrow of time, or causality).[79]&lt;br /&gt;
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热力学第二定律是在时间方向上不对称的物理定律。这与在物理学基本定律中观察到的对称性概念（特别是CPT对称性）&amp;lt;s&amp;gt;并&amp;lt;/s&amp;gt;没有冲突，因为第二定律在统计上适用于时间非对称边界条件。第二定律与时间向前和向后移动之间的差异有关，或者与原因先于结果的原理（时间的因果关系或因果关系）有关。&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect ([[Arrow of time#The causal arrow of time|the causal arrow of time]]).&amp;lt;ref&amp;gt;{{cite book | first = J.J.| last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1|display-authors=etal}} chapter 6&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect (the causal arrow of time).&lt;br /&gt;
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第二定律被提出来侧面解释时间向前和向后移动的区别，例如为什么原因先于结果(因果关系的时间箭头)。&lt;br /&gt;
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==Irreversibility==&lt;br /&gt;
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== Irreversibility 不可逆性 ==&lt;br /&gt;
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Irreversibility in [[thermodynamic process]]es is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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Irreversibility in thermodynamic processes is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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热力学过程中的不可逆性是热力学作用不对称特性的结果，而不是物体内部任何不可逆的微观性质的结果。热力学作用是对参与体施加的宏观外部干预，并非来自其内部属性。由于没有认识到这一点，产生了被称为“悖论”的说法。&lt;br /&gt;
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=== Loschmidt's paradox 洛施密特悖论 ===&lt;br /&gt;
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{{main article|Loschmidt's paradox}}&lt;br /&gt;
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[[Loschmidt's paradox]], also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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Loschmidt's paradox, also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论 Loschmidt's paradox&amp;lt;/font&amp;gt;'''，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;可逆性悖论reversibility paradox&amp;lt;/font&amp;gt;'''，它反驳说，从描述宏观系统微观演化的时间对称动力学中，不可能推导出不可逆过程。&lt;br /&gt;
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In the opinion of [[Erwin Schrödinger|Schrödinger]], &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropy{{snd}}or for that matter, all other irreversible statements{{snd}}so that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot;&amp;lt;ref&amp;gt;[[Erwin Schrödinger|Schrödinger, E.]] (1950), p.&amp;amp;nbsp;192.&amp;lt;/ref&amp;gt; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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In the opinion of Schrödinger, &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropyor for that matter, all other irreversible statementsso that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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薛定谔的认为：“现在很明显，您必须以何种方式重新制定熵定律（亦或者所有其他不可逆陈述）以使它们能够从可逆模型中得出。你不能只谈论一个孤立的系统，而应该至少谈论两个。你可以暂时认为它们与世界其它地方是孤立的，但并不总是相互孤立的。”这两个系统被隔离内壁彼此分开，直到被热力学（由热力学定律设想出来的）作用而拆除。热力学作用是从外部施加的，不受支配系统组成部分的可逆微观动力学定律的制约。这是不可逆转的原因。本文中第二定律的陈述符合薛定谔的的建议。 因果关系在逻辑上先于第二定律，而不是由第二定律推导而来。&lt;br /&gt;
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=== Poincaré recurrence theorem 庞加莱始态复现定理 ===&lt;br /&gt;
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{{Main article|Poincaré recurrence theorem}}&lt;br /&gt;
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The [[Poincaré recurrence theorem]] considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics. Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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The Poincaré recurrence theorem considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics.Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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庞加莱始态复现定理考虑了孤立物理系统的理论微观描述。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）又叫递归定理吗？存疑 &lt;br /&gt;
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经过热力学作用去除隔离内壁之后，便可以认为其是热力学系统的模型。在足够长的时间后，系统将返回到非常接近初始状态的微观定义状态。庞加莱复现时间是指回归前经过的时间长度。它极其漫长，可能比宇宙的寿命还要长，并且对那个被热力学作用拆除的内壁的几何形状敏感。复现定理可能被认为是明显与热力学第二定律相矛盾的。但是，更显而易见的是，它只是通过移除两个系统之间的内壁而形成的隔离系统中热力学平衡的微观模型。对所有典型的热力学系统的实际目的，人们无法观察到如此之长的复现时间很长（比宇宙的寿命长很多倍）。尽管如此，还是有人会想像一个机会可以等待庞加莱复现的出现，然后重新插入被热力学作用去除的内壁。然后很明显，不可逆性的出现是由于庞加莱复现完全不可预测的特性，因为仅仅给出了初始状态是热力学平衡之一，就像宏观热力学的情况一样。即使一个人可以等那么长时间，他也没有实际操作的可能性来选择合适的时间重新插入内壁。庞加莱始态复现定理为洛施密特悖论提供了一个解决方案。如果一个孤立的热力学系统能以多倍于平均庞加莱复现时间的长度下被监控，则该系统的热力学行为在时间反转下将变得恒定。&lt;br /&gt;
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[[File:James-clerk-maxwell3.jpg|thumb|upright|James Clerk Maxwell]]&lt;br /&gt;
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James Clerk Maxwell&lt;br /&gt;
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詹姆斯·克拉克·麦克斯韦&lt;br /&gt;
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=== Maxwell's demon 麦克斯韦妖 ===&lt;br /&gt;
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{{main article|Maxwell's demon}}&lt;br /&gt;
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[[James Clerk Maxwell]] imagined one container divided into two parts, ''A'' and ''B''. Both parts are filled with the same [[gas]] at equal temperatures and placed next to each other, separated by a wall. Observing the [[molecule]]s on both sides, an imaginary [[demon]] guards a microscopic trapdoor in the wall. When a faster-than-average molecule from ''A'' flies towards the trapdoor, the demon opens it, and the molecule will fly from ''A'' to ''B''. The average [[speed]] of the molecules in ''B'' will have increased while in ''A'' they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in ''A'' and increases in ''B'', contrary to the second law of thermodynamics.&lt;br /&gt;
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James Clerk Maxwell imagined one container divided into two parts, A and B. Both parts are filled with the same gas at equal temperatures and placed next to each other, separated by a wall. Observing the molecules on both sides, an imaginary demon guards a microscopic trapdoor in the wall. When a faster-than-average molecule from A flies towards the trapdoor, the demon opens it, and the molecule will fly from A to B. The average speed of the molecules in B will have increased while in A they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in A and increases in B, contrary to the second law of thermodynamics.&lt;br /&gt;
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'''麦克斯韦 James Clerk Maxwell'''设想一个容器分为A和B两部分。两部分均在相同温度下充满相同的气体，并彼此相邻由内壁隔开。一个虚构的妖精看守着一个内壁上的微型陷门，并观察者内壁两边的分子。当来自A的速度快于平均水平的分子飞向门时，妖精将门打开，该分子将从A飞向B。B中分子的平均速度将增加，而A中分子的平均速度将降低。由于平均分子速度与温度相对应，因此与热力学第二定律相反，温度在A中降低，在B中升高。&lt;br /&gt;
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One response to this question was suggested in 1929 by [[Leó Szilárd]] and later by [[Léon Brillouin]]. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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One response to this question was suggested in 1929 by Leó Szilárd and later by Léon Brillouin. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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1929年，Leó Szilárd和后来的 Léon Brillouin 对这个问题提出了一个答案。Szilárd指出，现实生活中的麦克斯韦妖需要一些测量分子速度的方法，而获取信息的过程需要消耗能量。&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between ''A'' and ''B''. It is therefore performing [[thermodynamic operation]]s on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between A and B. It is therefore performing thermodynamic operations on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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麦克斯韦的“妖”重复地改变 A 和 B 之间壁的热透性。因此，它是在微观尺度上执行热力学操作，而不仅仅是观察普通的自发或自然的宏观热力学过程。&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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{{quote|The law that entropy always increases holds, I think, the supreme position among the [[Laws of science|laws of Nature]]. If someone points out to you that your pet theory of the [[universe]] is in disagreement with [[Maxwell's equations]] – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.|Sir [[Arthur Stanley Eddington]], ''The Nature of the Physical World'' (1927)}}&lt;br /&gt;
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The law that entropy always increases holds, I think, the supreme position among the laws of Nature. If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equations – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.&lt;br /&gt;
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— Sir Arthur Stanley Eddington, The Nature of the Physical World (1927)&lt;br /&gt;
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我认为，熵总是增加的定律在自然定律中占有至高无上的地位。如果有人指出您的宇宙宠物理论杜撰的宇宙理论与麦克斯韦方程不符，那么麦克斯韦方程就遇到麻烦了。如果发现您的理论与观察不符，那么，可能是这些实验学家搞砸了。但是，如果发现您的理论违反了热力学第二定律，那么就没有希望了。除了在深深的耻辱中崩溃，别无他法。&lt;br /&gt;
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—亚瑟·斯坦利·爱丁顿爵士，《自然世界》（1927年）&lt;br /&gt;
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{{quote|There have been nearly as many formulations of the second law as there have been discussions of it.|Philosopher / Physicist [[Percy Williams Bridgman|P.W. Bridgman]], (1941)}}&lt;br /&gt;
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There have been nearly as many formulations of the second law as there have been discussions of it.&lt;br /&gt;
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— Philosopher / Physicist P.W. Bridgman, (1941)&lt;br /&gt;
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关于第二定律的公式几乎与关于第二定律的讨论一样多。&lt;br /&gt;
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—哲学家/物理学家 布里奇曼（1941）&lt;br /&gt;
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{{quote|Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.|[[Clifford Truesdell|Truesdell, C.]], Muncaster, R. G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 17.}}&lt;br /&gt;
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Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.&lt;br /&gt;
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克劳修斯（Sir Clausius）是西伯利亚文“宇宙的能量是恒定的；宇宙的熵趋于最大。”的作者。连续热力学的目标远远不能解释“宇宙”，但是在该理论内，我们可以很容易地以某种类似于克劳修斯的方式得出明确的陈述，只是它仅仅指代一个简单的物体：一个有限大小的孤立物体。&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.  特雷斯德尔，C.，蒙卡斯特，R.G.（1980）。麦克斯韦的单原子气体动力学理论的基本原理，被作为“理性力学”的一个分支，纽约学术出版社，ISBN 0-12-701350-4，第1页. 17。&lt;br /&gt;
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==See also==&lt;br /&gt;
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==See also==&lt;br /&gt;
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参见&lt;br /&gt;
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*[[Clausius–Duhem inequality]]&lt;br /&gt;
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*[[Fluctuation theorem]]&lt;br /&gt;
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*[[Heat death of the universe]]&lt;br /&gt;
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*[[History of thermodynamics]]&lt;br /&gt;
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*[[Jarzynski equality]]&lt;br /&gt;
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*[[Laws of thermodynamics]]&lt;br /&gt;
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*[[Maximum entropy thermodynamics]]&lt;br /&gt;
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*[[Quantum thermodynamics]]&lt;br /&gt;
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*[[Reflections on the Motive Power of Fire]]&lt;br /&gt;
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*[[Relativistic heat conduction]]&lt;br /&gt;
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*[[Thermal diode]]&lt;br /&gt;
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*[[Thermodynamic equilibrium]]&lt;br /&gt;
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==References==&lt;br /&gt;
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==References==&lt;br /&gt;
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参考资料&lt;br /&gt;
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===Sources===&lt;br /&gt;
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===Sources===&lt;br /&gt;
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{{refbegin|50em}}&lt;br /&gt;
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*Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (1st edition 1968), third edition 1983, Cambridge University Press, Cambridge UK, {{ISBN|0-521-25445-0}}.&lt;br /&gt;
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*[[Peter Atkins|Atkins, P.W.]], de Paula, J. (2006). ''Atkins' Physical Chemistry'', eighth edition, W.H. Freeman, New York, {{ISBN|978-0-7167-8759-4}}.&lt;br /&gt;
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*Attard, P. (2012). ''Non-equilibrium Thermodynamics and Statistical Mechanics: Foundations and Applications'', Oxford University Press, Oxford UK, {{ISBN|978-0-19-966276-0}}.&lt;br /&gt;
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*Baierlein, R. (1999). ''Thermal Physics'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-59082-5}}.&lt;br /&gt;
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*Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics, New York, {{ISBN|0-88318-797-3}}.&lt;br /&gt;
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*{{Cite book|title=Concepts in thermal physics|last=Blundell|first=Stephen J.|last2=Blundell|authorlink1=Stephen Blundell|first2=Katherine M.|authorlink2=Katherine Blundell|publisher=[[Oxford University Press]]|year=2010|isbn=9780199562107|edition=2nd|location=Oxford|pages=|oclc=607907330|doi=10.1093/acprof:oso/9780199562091.001.0001 |url=http://cds.cern.ch/record/1235139}}&lt;br /&gt;
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*[[Ludwig Boltzmann|Boltzmann, L.]] (1896/1964). ''Lectures on Gas Theory'', translated by S.G. Brush, University of California Press, Berkeley.&lt;br /&gt;
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*Borgnakke, C., Sonntag., R.E. (2009). ''Fundamentals of Thermodynamics'', seventh edition, Wiley, {{ISBN|978-0-470-04192-5}}.&lt;br /&gt;
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*Buchdahl, H.A. (1966). ''The Concepts of Classical Thermodynamics'', Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Percy Williams Bridgman|Bridgman, P.W.]] (1943). ''The Nature of Thermodynamics'', Harvard University Press, Cambridge MA.&lt;br /&gt;
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*[[Herbert Callen|Callen, H.B.]] (1960/1985). ''Thermodynamics and an Introduction to Thermostatistics'', (1st edition 1960) 2nd edition 1985, Wiley, New York, {{ISBN|0-471-86256-8}}.&lt;br /&gt;
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*{{cite journal|author=C. Carathéodory|author1-link=Constantin Carathéodory&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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2010年3月15日 | 第355-386页 |  http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;ppn=ppn235181684_0067&amp;amp;dmdid=dmdlog_0033&amp;amp;l=1&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). ''The Second Law of Thermodynamics'', Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). The Second Law of Thermodynamics, Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können.(p. 363) | doi 10.1007 / bf01450409}.译文可以在这里找到[ http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf ]。同时，在 Kestin，j。(1976).热力学第二定律，Dowden，Hutchinson &amp;amp; Ross，Stroudsburg PA. 。&lt;br /&gt;
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*[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986). [http://www.worldcat.org/title/reflections-on-the-motive-power-of-fire-a-critical-edition-with-the-surviving-scientific-manuscripts-translated-and-edited-by-fox-robert/oclc/812944517&amp;amp;referer=brief_results ''Reflections on the motive power of fire''], Manchester University Press, Manchester UK, {{ISBN|0-7190-1741-6}}. [https://archive.org/stream/reflectionsonmot00carnrich#page/n7/mode/2up Also here.]&lt;br /&gt;
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*[[Sydney Chapman (mathematician)|Chapman, S.]], [[Thomas George Cowling|Cowling, T.G.]] (1939/1970). ''The Mathematical Theory of Non-uniform gases. An Account of the Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases'', third edition 1970, Cambridge University Press, London.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Ueber Die Bewegende Kraft Der Wärme Und Die Gesetze, Welche Sich Daraus Für Die Wärmelehre Selbst Ableiten Lassen|journal=Annalen der Physik|year=1850|volume=79|issue=4|pages=368–397, 500–524|url=http://gallica.bnf.fr/ark:/12148/bpt6k15164w/f518.image|accessdate=26 June 2012|doi=10.1002/andp.18501550403|bibcode = 1850AnP...155..500C |hdl=2027/uc1.$b242250|hdl-access=free}} Translated into English: {{cite journal|last=Clausius|first=R.|title=On the Moving Force of Heat, and the Laws regarding the Nature of Heat itself which are deducible therefrom|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1851| volume=2|series=4th|issue=VIII|pages=1–21; 102–119 |url=https://archive.org/stream/londonedinburghd02lond#page/1/mode/1up|accessdate=26 June 2012&lt;br /&gt;
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10.1080 / 14786445108646819}&lt;br /&gt;
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* {{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Über eine veränderte Form des zweiten Hauptsatzes der mechanischen Wärmetheorie|year=1854|journal=Annalen der Physik|volume=xciii|issue=12|pages=481–506|url=http://zfbb.thulb.uni-jena.de/servlets/MCRFileNodeServlet/jportal_derivate_00140956/18541691202_ftp.pdf|accessdate=24 March 2014|doi=10.1002/andp.18541691202&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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| bibcode 1854AnP... 169. 1856年7月 | 第2卷 | 第4页 | 第86页 |  https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=242014年3月&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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热力学理论及其在蒸汽机和物体物理性质中的应用 | 1867年 | 出版商 John van Voorst | 位置: 伦敦 |  https://archive.org/details/mechanicaltheor04claugoog|quote=editions:pwr_sbkwa8ic。 2012年6月19日&lt;br /&gt;
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*Denbigh, K. (1954/1981). ''The Principles of Chemical Equilibrium. With Applications in Chemistry and Chemical Engineering'', fourth edition, Cambridge University Press, Cambridge UK, {{ISBN|0-521-23682-7}}.&lt;br /&gt;
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*Eu, B.C. (2002). ''Generalized Thermodynamics. The Thermodynamics of Irreversible Processes and Generalized Hydrodynamics'', Kluwer Academic Publishers, Dordrecht, {{ISBN|1-4020-0788-4}}.&lt;br /&gt;
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*[[Josiah Willard Gibbs|Gibbs, J.W.]] (1876/1878). On the equilibrium of heterogeneous substances, ''Trans. Conn. Acad.'', '''3''': 108-248, 343-524, reprinted in ''The Collected Works of J. Willard Gibbs, Ph.D, LL. D.'', edited by W.R. Longley, R.G. Van Name, Longmans, Green &amp;amp; Co., New York, 1928, volume 1, pp.&amp;amp;nbsp;55–353.&lt;br /&gt;
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*Griem, H.R. (2005). ''Principles of Plasma Spectroscopy (Cambridge Monographs on Plasma Physics)'', Cambridge University Press, New York  {{ISBN|0-521-61941-6}}.&lt;br /&gt;
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*Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability, and Fluctuations'', Wiley-Interscience, London, 1971, {{ISBN|0-471-30280-5}}.&lt;br /&gt;
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*Grandy, W.T., Jr (2008). [http://global.oup.com/academic/product/entropy-and-the-time-evolution-of-macroscopic-systems-9780199546176?cc=au&amp;amp;lang=en&amp;amp; ''Entropy and the Time Evolution of Macroscopic Systems'']. Oxford University Press. {{ISBN|978-0-19-954617-6}}.&lt;br /&gt;
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*Greven, A., Keller, G., Warnecke (editors) (2003). ''Entropy'', Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1949). 'Statistical basis of thermodynamics', ''Research'', '''2''': 450–454.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1967). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', fifth revised edition, North Holland, Amsterdam.&lt;br /&gt;
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*Gyarmati, I. (1967/1970) ''Non-equilibrium Thermodynamics. Field Theory and Variational Principles'', translated by E. Gyarmati and W.F. Heinz, Springer, New York.&lt;br /&gt;
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*[[Charles Kittel|Kittel, C.]], [[Herbert Kroemer|Kroemer, H.]] (1969/1980). ''Thermal Physics'', second edition, Freeman, San Francisco CA, {{ISBN|0-7167-1088-9}}.&lt;br /&gt;
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*Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998). ''Modern Thermodynamics: From Heat Engines to Dissipative Structures'', John Wiley &amp;amp; Sons, Chichester, {{ISBN|0-471-97393-9}}.&lt;br /&gt;
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*Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics: Foundations, Applications, Frontiers'', Springer-Verlag, Berlin, {{ISBN|978-3-540-74252-4}}.&lt;br /&gt;
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*{{cite journal|ref=harv|title=The Physics and Mathematics of the Second Law of Thermodynamics|last1=Lieb |first1=E. H. |last2=Yngvason |first2=J.|journal=Physics Reports|volume=310|issue=1|pages=1–96 |year=1999|doi=10.1016/S0370-1573(98)00082-9|arxiv = cond-mat/9708200 |bibcode = 1999PhR...310....1L}}&lt;br /&gt;
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*Lieb, E.H., Yngvason, J. (2003). The Entropy of Classical Thermodynamics, pp.&amp;amp;nbsp;147–195, Chapter 8 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*{{cite book|ref=harv|first=F.|last=Mandl|title=Statistical physics|edition=second|year=1988|publisher=[[Wiley &amp;amp; Sons]]|isbn=978-0-471-91533-1}}&lt;br /&gt;
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*{{cite journal | last1 = Maxwell | first1 = J.C. | authorlink = James Clerk Maxwell | year = 1867 | title = On the dynamical theory of gases | url = | journal = Phil. Trans. R. Soc. Lond. | volume = 157 | issue = | pages = 49–88 | doi = 10.1098/rstl.1867.0004 }}&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985). ''Thermodynamics'', Pitman, London, {{ISBN|0-273-08577-8}}.&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003). Entropy in Nonequilibrium, pp.&amp;amp;nbsp;79–109, Chapter 5 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}.&lt;br /&gt;
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*[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1897/1903). [https://archive.org/stream/treatiseonthermo00planrich#page/100/mode/2up ''Treatise on Thermodynamics'', translated by A. Ogg, Longmans Green, London, p. 100.]&lt;br /&gt;
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*[[Max Planck|Planck. M.]] (1914). [https://archive.org/details/theoryofheatradi00planrich ''The Theory of Heat Radiation''], a translation by Masius, M. of the second German edition, P. Blakiston's Son &amp;amp; Co., Philadelphia.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1926). Über die Begründung des zweiten Hauptsatzes der Thermodynamik, ''Sitzungsberichte der Preussischen Akademie der Wissenschaften: Physikalisch-mathematische Klasse'': 453–463.&lt;br /&gt;
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* Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769-781.&lt;br /&gt;
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* {{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&lt;br /&gt;
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*Quinn, T.J. (1983). ''Temperature'', Academic Press, London, {{ISBN|0-12-569680-9}}.&lt;br /&gt;
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*{{cite book|ref=harv|first=Y.V.C.|last=Rao|title=An Introduction to thermodynamics|url=https://books.google.com/books?id=iYWiCXziWsEC&amp;amp;pg=PA213|date=2004|publisher=Universities Press|isbn=978-81-7371-461-0|page=213}}&lt;br /&gt;
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*Roberts, J.K., Miller, A.R. (1928/1960). ''Heat and Thermodynamics'', (first edition 1928), fifth edition, Blackie &amp;amp; Son Limited, Glasgow.&lt;br /&gt;
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*[[Erwin Schrödinger|Schrödinger, E.]] (1950). Irreversibility, ''Proc. R. Ir. Acad.'', '''A53''': 189–195.&lt;br /&gt;
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*[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966). ''Elements of Thermodynamics'', Addison-Wesley Publishing, Reading MA.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Thomson|first=W.|author-link=William Thomson, 1st Baron Kelvin|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Transactions of the Royal Society of Edinburgh|year=1851|volume=XX|issue=part II|pages=261–268; 289–298|url=https://www.biodiversitylibrary.org/item/126047#page/295/mode/1up}} Also published in {{cite journal|last=Thomson|first=W.|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Philos. Mag. |date=December 1852 |volume=IV |series=4 |issue=22 |page=13|url=https://archive.org/stream/londonedinburghp04maga#page/12/mode/2up |accessdate=25 June 2012}}&lt;br /&gt;
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*[[William Thomson, 1st Baron Kelvin|Thomson, W.]] (1852). ''On the universal tendency in nature to the dissipation of mechanical energy'' Philosophical Magazine, Ser. 4, p.&amp;amp;nbsp;304.&lt;br /&gt;
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*[[László Tisza|Tisza, L.]] (1966). ''Generalized Thermodynamics'', M.I.T Press, Cambridge MA.&lt;br /&gt;
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*[[Clifford Truesdell|Truesdell, C.]] (1980). ''The Tragicomical History of Thermodynamics 1822–1854'', Springer, New York, {{ISBN|0-387-90403-4}}.&lt;br /&gt;
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*Uffink, J. (2001). Bluff your way in the second law of thermodynamics, ''Stud. Hist. Phil. Mod. Phys.'', '''32'''(3): 305–394.&lt;br /&gt;
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*Uffink, J. (2003). Irreversibility and the Second Law of Thermodynamics, Chapter 7 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003), Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963). ''Lectures in Statistical Mechanics'', American Mathematical Society, Providence RI.&lt;br /&gt;
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*[[Mark Zemansky|Zemansky, M.W.]] (1968). ''Heat and Thermodynamics. An Intermediate Textbook'', fifth edition, McGraw-Hill Book Company, New York.&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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进一步阅读&lt;br /&gt;
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*Goldstein, Martin, and Inge F., 1993. ''The Refrigerator and the Universe''. Harvard Univ. Press. Chpts. 4–9 contain an introduction to the Second Law, one a bit less technical than this entry. {{ISBN|978-0-674-75324-2}}&lt;br /&gt;
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*Leff, Harvey S., and Rex, Andrew F. (eds.) 2003. ''Maxwell's Demon 2 : Entropy, classical and quantum information, computing''. Bristol UK; Philadelphia PA: [[Institute of Physics]]. {{ISBN|978-0-585-49237-7}}&lt;br /&gt;
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*{{Cite book | first = J.J. | last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1}}(technical).&lt;br /&gt;
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*{{cite book |title=Reflections on the Motive Power of Heat and on Machines Fitted to Develop That Power |last=Carnot |first=Sadi |editor=[[Robert Henry Thurston|Thurston, Robert Henry]] |year=1890 |publisher=J. Wiley &amp;amp; Sons |location=New York |isbn= |pages= }} ([https://books.google.com/books?id=tgdJAAAAIAAJ full text of 1897 ed.]) ([http://www.history.rochester.edu/steam/carnot/1943/ html])&lt;br /&gt;
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*Stephen Jay Kline (1999). ''The Low-Down on Entropy and Interpretive Thermodynamics'', La Cañada, CA: DCW Industries. {{ISBN|1-928729-01-0}}.&lt;br /&gt;
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*{{cite book | last1 = Kostic | first1 = M | year = 2011 | title = Revisiting The Second Law of Energy Degradation and Entropy Generation: From Sadi Carnot's Ingenious Reasoning to Holistic Generalization | journal = AIP Conf. Proc. | volume = 1411 | issue = 1| pages = 327–350 | doi = 10.1063/1.3665247 | isbn = 978-0-7354-0985-9 | bibcode = 2011AIPC.1411..327K | series = AIP Conference Proceedings | citeseerx = 10.1.1.405.1945 }} also at [https://web.archive.org/web/20130420222450/http://www.kostic.niu.edu/2ndLaw/Revisiting%20The%20Second%20Law%20of%20Energy%20Degradation%20and%20Entropy%20Generation%20-%20From%20Carnot%20to%20Holistic%20Generalization-4.pdf].&lt;br /&gt;
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==External links==&lt;br /&gt;
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==External links==&lt;br /&gt;
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外部链接&lt;br /&gt;
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*[[Stanford Encyclopedia of Philosophy]]: &amp;quot;[http://plato.stanford.edu/entries/statphys-statmech/ Philosophy of Statistical Mechanics]&amp;quot; – by Lawrence Sklar.&lt;br /&gt;
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*[http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node30.html ''Second law of thermodynamics''] in the MIT Course [http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/notes.html ''Unified Thermodynamics and Propulsion''] from Prof. Z. S. Spakovszky&lt;br /&gt;
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*[[E.T. Jaynes]], 1988, &amp;quot;[http://bayes.wustl.edu/etj/articles/ccarnot.pdf The evolution of Carnot's principle],&amp;quot; in G. J. Erickson and C. R. Smith (eds.)''Maximum-Entropy and Bayesian Methods in Science and Engineering, Vol'' 1: p.&amp;amp;nbsp;267.&lt;br /&gt;
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*[http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf Caratheodory, C., &amp;quot;Examination of the foundations of thermodynamics,&amp;quot; trans. by D. H. Delphenich]&lt;br /&gt;
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* [https://www.bbc.co.uk/programmes/p004y2bm The Second Law of Thermodynamics], BBC Radio 4 discussion with John Gribbin, Peter Atkins &amp;amp; Monica Grady (''In Our Time'', Dec. 16, 2004)&lt;br /&gt;
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* [http://mdpi.org/entropy/papers/e6010001.pdf [[Entropy (journal)]], 2004]&lt;br /&gt;
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* [https://www.journals.uchicago.edu/doi/abs/10.1086/663835 The Journal of the International Society for the History of Philosophy of Science, 2012]&lt;br /&gt;
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[[Category:Concepts in physics]]&lt;br /&gt;
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Category:Concepts in physics&lt;br /&gt;
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分类: 物理概念&lt;br /&gt;
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[[Category:Laws of thermodynamics|2]]&lt;br /&gt;
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[[Category:Non-equilibrium thermodynamics]]&lt;br /&gt;
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Category:Non-equilibrium thermodynamics&lt;br /&gt;
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类别: 非平衡态热力学&lt;br /&gt;
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[[Category:Philosophy of thermal and statistical physics]]&lt;br /&gt;
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Category:Philosophy of thermal and statistical physics&lt;br /&gt;
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类别: 热力学和统计物理学哲学&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Second law of thermodynamics]]. Its edit history can be viewed at [[热力学第二定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12829</id>
		<title>热力学第二定律</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12829"/>
		<updated>2020-08-17T14:47:06Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Introduction引言 */&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{short description|Law of physics}}&lt;br /&gt;
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{{Thermodynamics|laws}}&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 全文审校中，heat一般统一译为“热”，caloric 或者 caloric of heat 译为“热量”。这一点是否准确，有待各位同学和专家的批评指正&lt;br /&gt;
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The '''second law of thermodynamics''' states that the total [[entropy]] of an [[isolated system]] can never decrease over time, and is constant if and only if all processes are reversible.&amp;lt;ref&amp;gt;http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node38.html#SECTION05224000000000000000&amp;lt;/ref&amp;gt; Isolated systems spontaneously evolve towards [[thermodynamic equilibrium]], the state with maximum entropy. &lt;br /&gt;
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The second law of thermodynamics states that the total entropy of an isolated system can never decrease over time, and is constant if and only if all processes are reversible. Isolated systems spontaneously evolve towards thermodynamic equilibrium, the state with maximum entropy. &lt;br /&gt;
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&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第二定律 Second Law Of Thermodynamics'''&amp;lt;/font&amp;gt;指出，&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''孤立系统Isolated System'''&amp;lt;/font&amp;gt;的总熵永远不会随着时间而减少，且当且仅当所有过程都是可逆时，总熵才恒定。孤立系统自发地到达到热力学平衡状态，此时为熵最大的状态。&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in [[thermodynamic equilibrium]], or is undergoing a (fictive) [[Reversible process (thermodynamics)|reversible process]]. In all processes that occur, including [[spontaneous process]]es,&amp;lt;ref&amp;gt;Atkins and de Paula, p.78&amp;lt;/ref&amp;gt; the total entropy of the system and its surroundings increases and the process is [[Irreversible process|irreversible in the thermodynamic sense]]. The increase in entropy accounts for the irreversibility of natural processes, and the [[Arrow of time|asymmetry between future and past]].&amp;lt;ref&amp;gt;{{cite book|last=Zohuri|first=Bahman|title=Dimensional Analysis Beyond the Pi Theorem|url=https://books.google.com/books?id=pRVuDQAAQBAJ|year=2016|publisher=Springer|isbn=978-3-319-45726-0|page=[https://books.google.com.ph/books?id=pRVuDQAAQBAJ&amp;amp;pg=PA111&amp;amp;dq=%22increase+in+entropy+accounts+for+the+irreversibility+of+natural+processes+and+the+asymmetry+between+future+and+past.%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ved=0ahUKEwj6spb61tbaAhUFS7wKHfftDtIQ6AEIKDAA#v=onepage&amp;amp;q=%22increase%20in%20entropy%20accounts%20for%20the%20irreversibility%20of%20natural%20processes%20and%20the%20asymmetry%20between%20future%20and%20past.%22 111]}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in thermodynamic equilibrium, or is undergoing a (fictive) reversible process. In all processes that occur, including spontaneous processes, the total entropy of the system and its surroundings increases and the process is irreversible in the thermodynamic sense. The increase in entropy accounts for the irreversibility of natural processes, and the asymmetry between future and past.&lt;br /&gt;
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系统及其周围环境的总熵在理想情况下可以保持不变，在这种情况下，系统处于热力学平衡状态，或者正在经历一个假想的可逆过程。所有过程中，包括&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''自发过程 Spontaneous Processes'''&amp;lt;/font&amp;gt;，系统及其周围环境的总熵增加，这一过程在热力学意义上是不可逆的。熵的增加解释了自然过程的不可逆性，以及未来和过去之间的不对称性。&lt;br /&gt;
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Historically, the second law was an [[Empirical evidence|empirical finding]] that was accepted as an axiom of [[thermodynamics|thermodynamic theory]].  [[Statistical mechanics]], classical or [[quantum thermodynamics|quantum]], explains the microscopic origin of the law.&lt;br /&gt;
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Historically, the second law was an empirical finding that was accepted as an axiom of thermodynamic theory.  Statistical mechanics, classical or quantum, explains the microscopic origin of the law.&lt;br /&gt;
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从历史上看，第二定律是一个经验性的发现，它被认为是热力学理论中的公理。经典统计力学、量子统计力学都可以解释这个定律的微观起源。&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist [[Nicolas Léonard Sadi Carnot|Sadi Carnot]], who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as [[Carnot's theorem (thermodynamics)|Carnot's rule]] or limit.&amp;lt;ref&amp;gt;Jaffe, R.L., Taylor, W. (2018). ''The Physics of Energy'', Cambridge University Press, Cambridge UK, pages 150, 151, 259, 772, 743.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist Sadi Carnot, who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as Carnot's rule or limit.&lt;br /&gt;
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&amp;lt;font color = 'blue'&amp;gt;热力学第二定律可以使用多种方法表述。它的第一个公式归功于法国科学家&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺Sadi Carnot'''&amp;lt;/font&amp;gt;，卡诺在1824年证明了在热机中将热转化为功的效率有一个上限。第二定律的这个方面也被称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺规则Carnot's Rule'''&amp;lt;/font&amp;gt;或&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺限制Carnot's Limit'''&amp;lt;/font&amp;gt;。&amp;lt;/font&amp;gt;&lt;br /&gt;
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'''热力学第二定律 Second Law of Thermodynamics'''是热力学的四条基本定律之一，它表述了热力学过程的不可逆性——孤立系统自发地朝着热力学平衡方向（即最大熵状态）演化，另一种表述为：第二类永动机永不可能实现。&lt;br /&gt;
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--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）这里是不是少了一段原文？&lt;br /&gt;
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==Introduction引言==&lt;br /&gt;
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[[File:Heat flow hot to cold.png|thumb|upright|Heat flow from hot water to cold water. 热总是从热水流向冷水]]&lt;br /&gt;
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The [[first law of thermodynamics]] provides the definition of the [[internal energy]] of a [[thermodynamic system]], and expresses the law of [[conservation of energy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 40–41.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Munster A. (1970), pp. 8–9, 50–51.&amp;lt;/ref&amp;gt; The second law is concerned with the direction of natural processes.&amp;lt;ref&amp;gt;{{harvnb|Mandl|1988}}&amp;lt;/ref&amp;gt; It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such [[Phenomenon|phenomena]] are accounted for in terms of [[entropy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 79–107.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994), Section 71, pp. 113–154.&amp;lt;/ref&amp;gt; If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, {{math|''S''}}, increases.&lt;br /&gt;
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The first law of thermodynamics provides the definition of the internal energy of a thermodynamic system, and expresses the law of conservation of energy. The second law is concerned with the direction of natural processes. It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such phenomena are accounted for in terms of entropy. If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&lt;br /&gt;
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'''热力学第一定律 First Law Of Thermodynamics'''定义了热力学系统所涉及到的'''内能 Internal Energy'''，并体现了能量守恒定律。热力学第二定律与'''自然过程Natural Processes'''的方向有关。它断言自然过程只在一种意义上进行，且不可逆 。例如，当有了传导和辐射的（传播）路径时，热总是自发地从一个较热的物体流向一个较冷的物体。这种现象可以用'''熵Entropy'''来解释。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;若一个'''孤立系统Isolated System'''最初在具有隔热内壁的系统内维持热力学平衡，通过一些操作使内壁透热，则该系统可自发地演变，最终达到一个新的内部热力学平衡，且其总熵{{math|''S''}}增加。If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy ({{math|d''S''}}) of a system is defined to result from an infinitesimal transfer of heat ({{math|δ''Q''}}) to a [[closed system]] (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature ({{math|''T''}}) of the system in equilibrium and the surroundings which supply the heat:&amp;lt;ref&amp;gt;Bailyn, M. (1994), p. 120.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy () of a system is defined to result from an infinitesimal transfer of heat () to a closed system (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature () of the system in equilibrium and the surroundings which supply the heat:&lt;br /&gt;
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在假想的可逆过程中，系统的熵的无穷小增量&amp;lt;math&amp;gt;dS&amp;lt;/math&amp;gt;被定义为由无穷小的热&amp;lt;math&amp;gt;δQ&amp;lt;/math&amp;gt;传递到一个封闭系统(允许能量进入或出去，但不允许物质传递的系统）除以该平衡系统和提供热的环境的共同温度 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat ({{mvar|δ}}) and infinitesimal amounts of entropy ({{mvar|d}}) because entropy is a [[function of state]], while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the [[Clausius Theorem|inequality]] &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt; Mortimer, R. G. ''Physical Chemistry''. 3rd ed., p. 120, Academic Press, 2008. &amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;FermiBook&amp;quot;&amp;gt; Fermi, E. ''Thermodynamics'', footnote on p. 48, Dover Publications,1956 (still in print). &amp;lt;/ref&amp;gt; &lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat () and infinitesimal amounts of entropy () because entropy is a function of state, while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the inequality  &lt;br /&gt;
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用不同的符号''δ''和''d''表示无穷小量的热和无穷小量的熵，因为熵是状态函数，而热和功一样，并不是状态函数。对于实际上可能存在的不与环境发生物质交换的无穷小过程，第二定律要求系统熵增量满足不等式：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature ({{math|''T''}}) and the temperature of the surroundings ({{math|''T''}}&amp;lt;sub&amp;gt;''surr''&amp;lt;/sub&amp;gt;).&lt;br /&gt;
&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Adkins, C.J. (1968/1983), p. 75.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt; &lt;br /&gt;
Note that the equality still applies for pure heat flow,&lt;br /&gt;
&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt; Schmidt-Rohr, K. (2014). &amp;quot;Expansion Work without the External Pressure, and Thermodynamics in Terms of Quasistatic Irreversible Processes&amp;quot; ''J. Chem. Educ.'' '''91''': 402-409.  https://dx.doi.org/10.1021/ed3008704 &amp;lt;/ref&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature () and the temperature of the surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;).Note that the equality still applies for pure heat flow。&lt;br /&gt;
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这是因为在这种情况下的一般过程可能包括周围环境对系统所做的功，该功在系统内部会产生摩擦或粘滞效应，此时一个化学反应可能正在系统内部进行，或因为热传递实际上是不可逆地发生，系统温度&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;和周围环境温度&amp;lt;math&amp;gt;T_surr&amp;lt;/math&amp;gt;之间的差异驱动了热传递的发生。注意该等式也适用于'''纯热流Pure Heat Flow'''&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(actually possible quasistatic irreversible process without composition change 实际上可能的,不改变成分的准静态不可逆性).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;&amp;gt;Oxtoby, D. W; Gillis, H.P., [[Laurie Butler|Butler, L. J.]] (2015).''Principles of Modern Chemistry'', Brooks Cole. p. 617.  {{ISBN|978-1305079113}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; Introducing a set of internal variables &amp;lt;math&amp;gt;\xi&amp;lt;/math&amp;gt; to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure ''P'' and temperature ''T'')&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.[16] [11] Introducing a set of internal variables {\displaystyle \xi }\xi  to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure P and temperature T)[15] from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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这种方法是通过测量'''热容曲线 Heat Capacity Curves'''和相变中熵的变化，来准确测定纯物质的绝对熵的基础，比如'''量热法calorimetry'''。&lt;br /&gt;
为了描述一个热力学系统在物理平衡状态下(要求有明确定义的等压P和等温T)偏离化学平衡状态，引入一组内部变量&amp;lt;math&amp;gt;x_i&amp;lt;/math&amp;gt;,可以用该等式&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} - \frac{1}{T} \sum_{j} \, \Xi_{j} \,\delta \xi_j \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(closed system, actually possible quasistatic irreversible process 封闭系统，实际可能的准静态不可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of ''the second principle of thermodynamics'' – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&amp;lt;ref&amp;gt; Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769–781.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of the second principle of thermodynamics – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&lt;br /&gt;
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第二项代表内部变量的功，这些内部变量可能受到外部影响的干扰，但是系统不能通过内部变量做任何正功。这种说法介绍了热力学系统在时间上演化不可能逆转的性质，并且可以被认为是热力学第二原理的另外一种相当于熵原理的表述。该公式可以被看作使用'''熵Entropy'''的热力学第二定律等价表述&lt;br /&gt;
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The [[zeroth law of thermodynamics]] in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body.&amp;lt;ref name=dugdale&amp;gt;{{cite book|author=J. S. Dugdale|title=Entropy and its Physical Meaning|publisher=Taylor &amp;amp; Francis|year=1996|isbn=978-0-7484-0569-5|page=13|quote=This law is the basis of temperature.}}&amp;lt;/ref&amp;gt; For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows{{how?|date=August 2018}} a distinguished temperature scale, which defines an absolute, [[thermodynamic temperature]], independent of the properties of any particular reference thermometric body.&amp;lt;ref&amp;gt;[[Mark Zemansky|Zemansky, M.W.]] (1968), pp. 207–209.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Quinn, T.J. (1983), p. 8.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The zeroth law of thermodynamics in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body. For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows a distinguished temperature scale, which defines an absolute, thermodynamic temperature, independent of the properties of any particular reference thermometric body.&lt;br /&gt;
&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;&lt;br /&gt;
热力学第零定律是指如果两个热力学系统都与第三个热力学系统处于热平衡(温度相同)状态，则它们彼此也必定处于热平衡状态。热力学第零定律在它这个简短叙述中让人们认识到热平衡关系中的两个物体具有相同的温度，特别是当一个被测物体与一个参考测温物体具有相同的温度时，对于两个处于热平衡状态的物体，有无限多的'''&amp;lt;font color = '#ff8000'&amp;gt;经验温标empirical temperature scales&amp;lt;/font&amp;gt;'''，这通常取决于特定参考温度体的性质。热力学第二定律允许区分'''&amp;lt;font color = '#ff8000'&amp;gt;温度标度temperature scale&amp;lt;/font&amp;gt;'''，它定义了一个绝对的热力学温度，与任何特定的参考温度体的性质无关。&lt;br /&gt;
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==Various statements of the law热力学第二定律的不同表述==&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways,&amp;lt;ref name=MIT&amp;gt;{{cite web|title=Concept and Statements of the Second Law|url=http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node37.html|accessdate=2010-10-07 |publisher=web.mit.edu}}&amp;lt;/ref&amp;gt; the most prominent classical statements{{sfnp|Lieb|Yngvason|1999}} being the statement by [[Rudolf Clausius]] (1854), the statement by [[William Thomson, 1st Baron Kelvin|Lord Kelvin]] (1851), and the statement in axiomatic thermodynamics by [[Constantin Carathéodory]] (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.{{sfnp|Rao|2004|p=213}}&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways, the most prominent classical statements being the statement by Rudolf Clausius (1854), the statement by Lord Kelvin (1851), and the statement in axiomatic thermodynamics by Constantin Carathéodory (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.&lt;br /&gt;
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热力学第二定律可以用许多特定的方式来表达，最突出的经典陈述是 '''克劳修斯 Rudolf Clausius''' (1854)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，'''开尔文 Kelvin''' (1851)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，以及康斯坦丁·卡拉西奥多里 Constantin Carathéodory(1909)在'''&amp;lt;font color = '#ff8000'&amp;gt;公理化热力学axiomatic thermodynamics&amp;lt;/font&amp;gt;'''中的&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;。这些&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;用一般的物理术语来描述定律，引用某些过程的不可能性。克劳修斯和开尔文表述被证明是等价的。&lt;br /&gt;
  --[[用户:厚朴|厚朴]]（[[用户讨论:厚朴|讨论]]）statement的表述需要统一，同样的statement by Rudolf Clausius这里需要统一开尔文 克劳修斯 Kelvin Clausius&lt;br /&gt;
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===Carnot's principle卡诺原理===&lt;br /&gt;
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The historical origin&amp;lt;ref&amp;gt;[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986).&amp;lt;/ref&amp;gt; of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a [[Carnot heat engine]], fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the [[caloric theory]] of heat was seriously considered, before the recognition of the [[first law of thermodynamics]], and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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The historical origin of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a Carnot heat engine, fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the caloric theory of heat was seriously considered, before the recognition of the first law of thermodynamics, and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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热力学第二定律的历史起源是'''卡诺原理Carnot's principle'''。&lt;br /&gt;
它指的是'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机Carnot heat engine&amp;lt;/font&amp;gt;'''的一个循环，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;它&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;卡诺热机&amp;lt;/font&amp;gt;以'''&amp;lt;font color = '#ff8000'&amp;gt;准静态quasi-static&amp;lt;/font&amp;gt;'''的极限慢速运转，因此热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;和功在子系统之间进行传递，子系统总是处于它们自己内部的热力学平衡状态。&lt;br /&gt;
卡诺热机是研究热机效率的工程师特别感兴趣的理想装置。&lt;br /&gt;
当卡诺发现卡诺原理时，'''&amp;lt;font color = '#ff8000'&amp;gt;热量理论caloric theory of heat&amp;lt;/font&amp;gt;'''还没有得到重视，热力学第一定律还没有得到承认，熵的概念还没有数学表达。&lt;br /&gt;
根据第一定律的解释，它在物理上等同于热力学第二定律，并沿用至今。&lt;br /&gt;
在热力学第一定律被发现之前，卡诺最初的论点是从热量理论的观点出发的。&lt;br /&gt;
下面是他书中的一些例子：&lt;br /&gt;
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::...''wherever there exists a difference of temperature, motive power can be produced.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 51.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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...wherever there exists a difference of temperature, motive power can be produced.&lt;br /&gt;
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……只要有温差，就能产生动力。&lt;br /&gt;
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::The production of motive power is then due in steam engines not to an actual consumption of caloric, but ''to its transportation from a warm body to a cold body ...''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 46.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The production of motive power is then due in steam engines not to an actual consumption of caloric, but to its transportation from a warm body to a cold body ...&lt;br /&gt;
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动力的产生不是由于蒸汽机实际消耗的热量，而是由于它从一个较热的物体&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;运输&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到一个较冷的物体……。&lt;br /&gt;
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::''The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 68.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.&lt;br /&gt;
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热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;的原动力与实现热的媒介无关，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量的数量&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;热的量&amp;lt;/font&amp;gt;完全取决于两个物体之间的温度，最后是热量的传递。&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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用现代术语&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;来说&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;，卡诺原理可能更为准确:&lt;br /&gt;
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::The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]] (1980), Chapter 5.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983), pp. 56–58.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Münster, A. (1970), p. 11.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998), pp.67–75.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008), p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Eu, B.C. (2002), pp. 32–35.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&lt;br /&gt;
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准静态卡诺循环或可逆卡诺循环的效率只取决于两种热源的温度，而且无论工作物质是什么，效率是相同的。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;只有&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;使用&amp;lt;/font&amp;gt;两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。 A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;/font&amp;gt;''' &lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）最后一句进行了补充 意译&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我没太看懂卡诺表述，所以不能确定这里的补充是否正确。可以再看一下“与工作物质交换热源”部分的表述是否准确&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）如果不确定，可以考虑将这句话标注为疑难句；或直接按原文直译&lt;br /&gt;
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===Clausius statement克劳修斯表述===&lt;br /&gt;
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The German scientist [[Rudolf Clausius]] laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work.{{sfnp|Clausius|1850}} His formulation of the second law, which was published in German in 1854, is known as the ''Clausius statement'':&lt;br /&gt;
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The German scientist Rudolf Clausius laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work. His formulation of the second law, which was published in German in 1854, is known as the Clausius statement:&lt;br /&gt;
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1850年，德国科学家'''鲁道夫·克劳修斯 Rudolf Clausius''' 通过研究热传递和功之间的关系，为热力学第二定律&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;实验室&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;奠定了基础。他在1854年用德语发表的论文中所提及的热力学第二定律定义被称为克劳修斯表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.{{sfnp|Clausius|1854|p=86}}&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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不可能把热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从低温物体传递到高温物体而不产生其他影响。 &lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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克劳修斯的表述使用了“'''&amp;lt;font color = '#ff8000'&amp;gt;热通道Passage Of Heat&amp;lt;/font&amp;gt;'''”的概念。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;正如通常在热力学的讨论，这意味着“能量作为热的净转移” ，而不是另一种形式上的&amp;quot;分摊转账&amp;quot;或其他。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;&lt;br /&gt;
在热力学的讨论中，通常这意味着“能量作为热的形式的净转移” ，而不是指其他方式的转移。&amp;lt;/font&amp;gt;&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）不太理解分摊转账contributory transfers &lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）  我觉得应该是说，energy as '''heat''' 而不是 as其他方式的转移&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）我认为这里不要把contributory transfer看作一个专有名词去理解，从contributory的本意“A contributory factor of a problem or accident is one of the things which caused it to exist or happen.”来理解即可，感觉嘉树理解的是对的。&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of [[refrigeration]], for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of refrigeration, for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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如果不对系统&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;进行外部功&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;外部做功&amp;lt;/font&amp;gt;，热&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;量就&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;不能自发地从冷区流向热区，这一点从制冷的普通经验中也可以看出。在冰箱中，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量从冷到热，但只有在外部媒介——制冷系统的强制作用下才会发生变化。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;只有在外部媒介也就是制冷系统的强制作用下热才会从冷区流到热区。&amp;lt;/font&amp;gt;&lt;br /&gt;
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===Kelvin statements开尔文表述===&lt;br /&gt;
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[[William Thomson, 1st Baron Kelvin|Lord Kelvin]] expressed the second law in several wordings.&lt;br /&gt;
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Lord Kelvin expressed the second law in several wordings.&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文勋爵 Lord Kelvin&amp;lt;/font&amp;gt;''' &amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;用几个字表达&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;了热力学第二定律。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 感觉”用几个字“怪怪的，所以删掉了&lt;br /&gt;
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::It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;无法从单一热源取热使其完全转化为有用功而不对环境产生影响。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能从单一热源取热使之完全转换为有用的功而不产生其他影响。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 改的内容和原文内容不太对应。这个摘自百度百科，另参见 严子浚(1994). 对热力学第二定律开尔文表述的一点讨论, 大学物理: 13(2).&lt;br /&gt;
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::It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.{{sfnp|Thomson|1851}}&lt;br /&gt;
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It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;通过无生命物质的作用，不可能通过将物质的任何部分冷却到低于周围物体最冷的温度来产生机械效应。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能通过无生命物质的作用，将物质的任何部分冷却到低于周围物体最低的温度并产生'''&amp;lt;font color = '#ff8000'&amp;gt;机械效应 Mechanical Effect&amp;lt;/font&amp;gt;'''。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）无生命物质可以意译为机器吗&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我不太懂这个，不过感觉最好不要吧。&lt;br /&gt;
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===Equivalence of the Clausius and the Kelvin statements克劳修斯和开尔文表述的等价性===&lt;br /&gt;
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[[Image:Deriving Kelvin Statement from Clausius Statement.svg|thumb|Derive Kelvin Statement from Clausius Statement从克劳修斯表述推导出开尔文表述]]&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed [[Carnot engine]] as shown by the figure. The [[Heat engine#Efficiency|efficiency]] of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; from the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the [[first law of thermodynamics]], as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed Carnot engine as shown by the figure. The efficiency of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat from &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the first law of thermodynamics, as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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假设有一个热机违反了开尔文定理: 也就是说，这个热机以循环的方式吸收热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;并将其&amp;lt;font color = 'blue'&amp;gt;完全&amp;lt;/font&amp;gt;转化为功，而&amp;lt;font color = 'blue'&amp;gt;且&amp;lt;/font&amp;gt;不产生任何影响。现&amp;lt;font color = 'blue'&amp;gt;在将其&amp;lt;/font&amp;gt;与反向卡诺&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;发动&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;机&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;相对应&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;比较&amp;lt;/font&amp;gt;，如图所示。&lt;br /&gt;
普通热机的效率为η，反向热机的效率为1/η。这对&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热机的联合作用为&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;联合热机的净效应和唯一效应是&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; 将热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从较冷热源&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到较热热源，这违反了克劳修斯表述。（这是能量守恒定律的结果，因为系统的总能量保持不变&amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;，所以&amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt;。）因此，违反开尔文表述意味着违反克劳修斯表述，即克劳修斯表述暗示了开尔文表述。我们可以用类似的方式证明开尔文表述暗示了克劳修斯表述，因此两者是等价的。&lt;br /&gt;
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===Planck's proposition普朗克&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;假设&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;命题&amp;lt;/font&amp;gt;===&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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普朗克提出了直接来自经验的如下命题。这有时被认为是他对热力学第二定律的表述，但他认为这是热力学第二定律推导的起点。&lt;br /&gt;
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::It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 86.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 319.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;建造一台发动机是不可能的，这台发动机将在一个完整的循环中工作，&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能建造一台发动机，使其在一个完整的循环中工作，&amp;lt;/font&amp;gt;并且除了提高重量和冷却热储以外不会产生任何效果。&lt;br /&gt;
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===Relation between Kelvin's statement and Planck's proposition 开尔文表述与普朗克命题的关系===&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;[[Kelvin-Planck statement]]&amp;quot; of the law, as for example in the text by [[Dirk ter Haar|ter Haar]] and [[Harald Wergeland|Wergeland]].&amp;lt;ref&amp;gt;[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966), p. 17.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;Kelvin-Planck statement&amp;quot; of the law, as for example in the text by ter Haar and Wergeland.&lt;br /&gt;
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教科书中几乎总是用“'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文-普朗克表述 Kelvin-Planck Statement&amp;lt;/font&amp;gt;'''”来称呼该定律，例如'''&amp;lt;font color = '#ff8000'&amp;gt;德克·特哈尔 Diek ter Haar&amp;lt;/font&amp;gt;''' 和'''&amp;lt;font color = '#ff8000'&amp;gt;哈拉尔德·沃格兰 Harald Wergeland&amp;lt;/font&amp;gt;''' 就是这样表述的。&lt;br /&gt;
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The '''Kelvin–Planck statement''' (or the ''heat engine statement'') of the second law of thermodynamics states that &lt;br /&gt;
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The Kelvin–Planck statement (or the heat engine statement) of the second law of thermodynamics states that &lt;br /&gt;
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热力学第二定律的开尔文-普朗克表述（或称“'''&amp;lt;font color = '#ff8000'&amp;gt;热机表述 Heat Engine Statement&amp;lt;/font&amp;gt;'''”）指出&lt;br /&gt;
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::It is impossible to devise a [[thermodynamic cycle|cyclically]] operating device, the sole effect of which is to absorb energy in the form of heat from a single [[heat reservoir|thermal reservoir]] and to deliver an equivalent amount of [[Work (physics)|work]].&amp;lt;ref name=&amp;quot;Rao&amp;quot;&amp;gt;{{cite book|last=Rao|first=Y. V. C.|title=Chemical Engineering Thermodynamics|publisher=Universities Press|isbn=978-81-7371-048-3|page=158|year=1997}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to devise a cyclically operating device, the sole effect of which is to absorb energy in the form of heat from a single thermal reservoir and to deliver an equivalent amount of work.&lt;br /&gt;
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设计一种唯一效果是从单一热源吸收热并提供等量的功的循环运行装置是不可能的。&lt;br /&gt;
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===Planck's statement 普朗克表述===&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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普朗克表述第二定律如下。&lt;br /&gt;
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::Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&amp;lt;ref name=&amp;quot;Planck 100&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 100.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Planck 463&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 463, translation by Uffink, J. (2003), p. 131.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roberts &amp;amp; Miller 382&amp;quot;&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 382. This source is partly verbatim from Planck's statement, but does not cite Planck. This source calls the statement the principle of the increase of entropy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&lt;br /&gt;
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自然界中发生的任一过程都是沿参与其中的所有物体的熵之和增加的方向进行的。在极限情况中，即对于可逆过程，熵的总和保持不变。&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for ''irreversible phenomena''.&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for irreversible phenomena.&lt;br /&gt;
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与普朗克表述非常相似的是'''&amp;lt;font color = '#ff8000'&amp;gt;乌伦贝克 Uhlenbeck&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;福特 Ford&amp;lt;/font&amp;gt;'''关于不可逆现象的表述。&lt;br /&gt;
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::... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&amp;lt;ref&amp;gt;[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963), p. 16.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&lt;br /&gt;
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……在从一个平衡态到另一个平衡态的不可逆或自发的变化中（例如，当两个物体 A 和 B 接触时的温度平衡过程），熵总是增加。&lt;br /&gt;
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===Principle of Carathéodory 卡拉西奥多里原理===&lt;br /&gt;
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&amp;lt;!-- [[Caratheodory's principle]] redirects here --&amp;gt;&lt;br /&gt;
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&amp;lt;!-- Caratheodory's principle redirects here --&amp;gt;&lt;br /&gt;
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—— caratheodory 的原理在这里重新定向——&lt;br /&gt;
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[[Constantin Carathéodory]] formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&amp;lt;ref&amp;gt;[[Constantin Carathéodory|Carathéodory, C.]] (1909).&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Constantin Carathéodory formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;康斯坦丁·卡拉西奥多里 Constantin Carathéodory&amp;lt;/font&amp;gt;'''在纯数学公理的基础上进行了热力学'''&amp;lt;font color = '#ff8000'&amp;gt;公理化formulated&amp;lt;/font&amp;gt;'''阐明。他对第二定律的陈述被称为'''&amp;lt;font color = '#ff8000'&amp;gt;卡拉西奥多里原理 Principle of Carathéodory&amp;lt;/font&amp;gt;'''，可以这样表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 68.&amp;lt;/ref&amp;gt;&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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在绝热封闭系统的任意状态 S 附近，总有从 S 出发不可达的状态。&lt;br /&gt;
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With this formulation, he described the concept of [[adiabatic accessibility]] for the first time and provided the foundation for a new subfield of classical thermodynamics, often called [[Ruppeiner geometry|geometrical thermodynamics]]. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic [[process function]], in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;Sychev1991&amp;quot;&amp;gt;{{cite book |last=Sychev |first=V. V. |title=The Differential Equations of Thermodynamics |year=1991 |publisher=Taylor &amp;amp; Francis |isbn=978-1-56032-121-7}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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With this formulation, he described the concept of adiabatic accessibility for the first time and provided the foundation for a new subfield of classical thermodynamics, often called geometrical thermodynamics. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic process function, in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;. &lt;br /&gt;
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通过这个阐明，他首次描述了'''&amp;lt;font color = '#ff8000'&amp;gt;绝热可达性 Adiabatic Accessibility&amp;lt;/font&amp;gt;'''的概念，并为经典热力学的一个新的子领域，即通常所说的'''&amp;lt;font color = '#ff8000'&amp;gt;几何热力学  Geometrical Thermodynamics&amp;lt;/font&amp;gt;'''&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;奠定了基础&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;。由卡拉西奥多里原理可以推出，作为热的能量的准静态转移是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数holonomic process function&amp;lt;/font&amp;gt;'''即&amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）准静态转移的热量值是一个可积过程函数 存疑&lt;br /&gt;
 --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）本句的修改供讨论。可积函数的英文应该是Integrable function。但是什么是完整的函数存疑，是连续的函数？&lt;br /&gt;
 --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）这里建议标注一下'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数 holonomic process function&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）奠定了基础为何要删????????????????????????????????????????&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;&amp;gt;Münster, A. (1970), p. 45.&amp;lt;/ref&amp;gt;{{sfnp|Lieb|Yngvason|1999|p=49}}&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 69.&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium. &lt;br /&gt;
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尽管在教科书几乎惯称卡拉西奥多里原理也是第二定律的一种表述，并认为其与克劳修斯表述或开尔文-普朗克表述等价，但事实并非如此。为了得到第二定律的所有内容，需要对卡拉西奥多里原理补充普朗克表述，即等量功总是增加一个最初处于自身内部热力学平衡的封闭系统的内部能量。&lt;br /&gt;
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===Planck's principle 普朗克原理===&lt;br /&gt;
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In 1926, [[Max Planck]] wrote an important paper on the basics of thermodynamics.&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Uffink, J. (2003), pp. 129–132.&amp;lt;/ref&amp;gt; He indicated the principle&lt;br /&gt;
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In 1926, Max Planck wrote an important paper on the basics of thermodynamics. He indicated the principle&lt;br /&gt;
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1926年，'''&amp;lt;font color = '#ff8000'&amp;gt;马克斯·普朗克 Max Planck&amp;lt;/font&amp;gt;'''写了一篇关于热力学基础的重要论文。他指出了以下原理&lt;br /&gt;
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::The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt;{{sfnp |Lieb|Yngvason|1999|p=49}}&lt;br /&gt;
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The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&lt;br /&gt;
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一个封闭系统的内部能量因绝热过程增加，在整个过程中，系统的体积保持不变。&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot;&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]], Muncaster, R.G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 15.&amp;lt;/ref&amp;gt; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 81.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 457, Wikipedia editor's translation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&lt;br /&gt;
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这个公式没有提到热，没有提到温度，甚至没有提到熵，也不一定隐含地依赖于这些概念，但它暗示了第二定律的内容。一个密切相关的表述为，“摩擦力从来不做正功。”普朗克写道: “摩擦生热是不可逆的。”&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 149.&amp;lt;/ref&amp;gt; It is relevant that for a system at constant volume and [[Mole (unit)|mole numbers]], the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above. It is relevant that for a system at constant volume and mole numbers, the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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这个普朗克定理没有提到熵，是用物理术语来表述的。它与上面给出的开尔文表述密切相关。相关的是，对于恒定体积和摩尔数的系统，熵是内能的单调函数。然而，普朗克的这个原理实际上并不是普朗克对第二定律的首选表述（见前面小节），而是依赖于熵的概念。&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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Borgnakke 和 Sonntag 提出的以下表述在某种意义上是对普朗克原理的补充。他们没有将其作为第二定律的完整表述:&lt;br /&gt;
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::... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&amp;lt;ref&amp;gt;Borgnakke, C., Sonntag., R.E. (2009), p. 304.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&lt;br /&gt;
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……只有一种方法可以减少（封闭）系统的熵，将热从系统中转移出去。&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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与普朗克之前提出的原理不同，这一原理明确地用熵的变化来表示。从系统中去除物质也可以减少系统的熵。&lt;br /&gt;
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===Statement for a system that has a known expression of its internal energy as a function of its extensive state variables 一个其内能有已知表达式（其扩展状态变量的函数）的系统的表述===&lt;br /&gt;
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The second law has been shown to be equivalent to the [[internal energy]] ''U'' being a weakly [[convex function]], when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;ref&amp;gt;{{cite book |last1=van Gool |first1=W. |last2=Bruggink |first2=J.J.C. (Eds) |url= |title=Energy and time in the economic and physical sciences |publisher=North-Holland |year=1985 |pages=41–56 |quote= |isbn=978-0-444-87748-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Grubbström | first1 = Robert W. | doi = 10.1016/j.apenergy.2007.01.003 | title = An Attempt to Introduce Dynamics Into Generalised Exergy Considerations| journal = Applied Energy| volume = 84| issue = 7–8 | pages = 701–718 | year = 2007}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...). &lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;写成广泛性质（质量，体积，熵……）的函数时，第二定律被证明等价于弱凸函数内能 U。The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Corollaries 推论==&lt;br /&gt;
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===Perpetual motion of the second kind 第二类永动机===&lt;br /&gt;
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{{main article|Perpetual motion}}&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of [[first law of thermodynamics]] by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of first law of thermodynamics by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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在第二定律建立之前，许多志在发明永动机的人试图通过提取环境的巨大内能作为机器动力，以突破'''热力学第一定律 First Law of Thermodynamics''' 的限制。这种机器被称为“'''第二类永动机 Perpetual Motion Machine of the Second Kind'''”。热力学第二定律表明这种机器是不可能的。&lt;br /&gt;
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===Carnot theorem 卡诺定理===&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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Carnot's theorem (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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'''卡诺定理 Carnot's Theorem'''（1824）是一条限制任何可能的热机的最大效率的原理。效率完全取决于热源中热和冷之间的温差。 卡诺定理指出:&lt;br /&gt;
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*All irreversible heat engines between two heat reservoirs are less efficient than a [[Carnot engine]] operating between the same reservoirs.&lt;br /&gt;
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*All reversible heat engines between two heat reservoirs are equally efficient with a Carnot engine operating between the same reservoirs.&lt;br /&gt;
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* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;不可逆热机的效率低于在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机 Carnot Engine&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;可逆热机的效率与在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的卡诺机相等。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）改成同一个正确吗??????????????????????????&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as [[thermodynamic reversibility]]. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the [[Carnot cycle]]'s reversibility and was condemned to be less efficient.&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as thermodynamic reversibility. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the Carnot cycle's reversibility and was condemned to be less efficient.&lt;br /&gt;
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在他的理想模型中，热转化为功的过程可以通过逆转循环的运动而恢复，这个概念后来被称为'''&amp;lt;font color = '#ff8000'&amp;gt;热力学可逆性 Thermodynamic Reversibility&amp;lt;/font&amp;gt;'''。然而，卡诺进一步假定，一些热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;损失了，并没有转化为机械功。因此，没有一个真实的热机能够实现'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺循环 Carnot Cycle&amp;lt;/font&amp;gt;'''的可逆性，并且被认为效率较低。&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete [[caloric theory]]), rather than [[entropy]], this was an early insight into the second law.&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete caloric theory), rather than entropy, this was an early insight into the second law.&lt;br /&gt;
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该理论尽管是用热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;表述的（见被取代的'''&amp;lt;font color = '#ff8000'&amp;gt;热质说&amp;lt;/font&amp;gt;'''），而不是熵，但是它是对第二定律的早期认识。&lt;br /&gt;
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===Clausius inequality 克劳修斯不等式===&lt;br /&gt;
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The [[Clausius theorem]] (1854) states that in a cyclic process&lt;br /&gt;
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The Clausius theorem (1854) states that in a cyclic process&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;克劳修斯定理 Clausius Theorem&amp;lt;/font&amp;gt;'''（1854）指出，在一个循环的过程中&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T} \leq 0.&amp;lt;/math&amp;gt;&lt;br /&gt;
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The equality holds in the reversible case&amp;lt;ref&amp;gt;[http://scienceworld.wolfram.com/physics/ClausiusTheorem.html ''Clausius theorem''] at [[Wolfram Research]]&amp;lt;/ref&amp;gt; and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function [[entropy]]. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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The equality holds in the reversible case and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function entropy. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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等号在可逆情况下成立，严格不等号在不可逆情况下成立。可逆情况下引入状态函数熵。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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  --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）末句存疑&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我也没看懂，按照字面意思修改了一下&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）感觉修改后的句子还是怪怪的，这里标成疑难句吧 '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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===Thermodynamic temperature 热力学温度===&lt;br /&gt;
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{{main article|Thermodynamic temperature}}&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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对于任意热机，效率为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\eta = \frac {W_n}{q_H} = \frac{q_H-q_C}{q_H} = 1 - \frac{q_C}{q_H} \qquad (1)&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; is for the net work done per cycle. Thus the efficiency depends only on q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;.&lt;br /&gt;
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其中 ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; 表示每个循环所做的净功。因此效率只取决于 q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;。&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
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Carnot's theorem states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
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卡诺定理指出，所有在相同热源间运行的可逆热机的效率是相同的。&lt;br /&gt;
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Thus, any reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
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Thus, any reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
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因此，任何在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;和''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间运行的可逆热机必须具有相同的效率，也就是说，效率只是温度的函数:&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{q_C}{q_H} = f(T_H,T_C)\qquad (2).&amp;lt;/math&amp;gt;&lt;br /&gt;
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In addition, a reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
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In addition, a reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; andT&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
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另外，在温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间工作的可逆热机必须具有与由分别在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和（中间）温度 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间、在 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间的两个循环组成的系统效率相同。只有下式成立才会出现这种情况:&lt;br /&gt;
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: &amp;lt;math&amp;gt;f(T_1,T_3) = \frac{q_3}{q_1} = \frac{q_2 q_3} {q_1 q_2} = f(T_1,T_2)f(T_2,T_3).&amp;lt;/math&amp;gt;&lt;br /&gt;
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Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the [[triple point]] of water. Then for any ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the triple point of water. Then for any T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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现在考虑如下情形，&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; 是一个固定的参考温度: 水的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''&amp;lt;font color = '#ff8000'&amp;gt;三相点 Triple Point&amp;lt;/font&amp;gt;'''&amp;lt;/font&amp;gt;的温度。则对于任意 T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
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: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{f(T_1,T_3)}{f(T_1,T_2)} = \frac{273.16 \cdot f(T_1,T_3)}{273.16 \cdot f(T_1,T_2)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
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Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
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Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
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因此，如果热力学温度被定义为&lt;br /&gt;
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: &amp;lt;math&amp;gt;T = 273.16 \cdot f(T_1,T) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
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then the function ''f'', viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
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then the function f, viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
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那么函数 ''f'' 作为热力学温度的函数，为&lt;br /&gt;
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: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{T_3}{T_2},&amp;lt;/math&amp;gt;&lt;br /&gt;
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and the reference temperature ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used{{snd}}the choice here corresponds to the [[Kelvin]] scale.)&lt;br /&gt;
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and the reference temperature T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used the choice here corresponds to the Kelvin scale.)&lt;br /&gt;
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参考温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 的值为273.16。（任何参考温度和任何正值均可用——此处的选择对应开尔文标度。）&lt;br /&gt;
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===Entropy 熵===&lt;br /&gt;
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{{main article|Entropy (classical thermodynamics)}}&lt;br /&gt;
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According to the [[Clausius theorem|Clausius equality]], for a reversible process&lt;br /&gt;
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According to the Clausius equality, for a reversible process&lt;br /&gt;
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根据克劳修斯等式，对可逆过程有&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
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That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
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这意味着线积分 &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; 对于可逆过程是路径无关的。&lt;br /&gt;
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So we can define a state function S called entropy, which for a reversible process or for pure heat transfer&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot; /&amp;gt; satisfies&lt;br /&gt;
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So we can define a state function S called entropy, which for a reversible process or for pure heat transfer satisfies&lt;br /&gt;
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所以我们可以定义一个叫做熵的状态函数 S，对于可逆过程或者纯热传递满足&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \frac{\delta Q}{T} \!&amp;lt;/math&amp;gt;&lt;br /&gt;
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With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the [[third law of thermodynamics]], which states that ''S'' = 0 at [[absolute zero]] for perfect crystals.&lt;br /&gt;
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With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the third law of thermodynamics, which states that S = 0 at absolute zero for perfect crystals.&lt;br /&gt;
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据此，只有对上述公式进行积分，才能得到熵的差值。为了获得绝对值，我们需要&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第三定律 Third Law of Thermodynamics'''&amp;lt;/font&amp;gt;，它指出&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝对零度 Absolute Zero'''&amp;lt;/font&amp;gt;下完美晶体的 ''S'' = 0。&lt;br /&gt;
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For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
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For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
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对于任意不可逆过程，由于熵是一个状态函数，我们总是可以将初始状态和最终状态与一个虚拟的可逆过程联系起来，并在这条路径上积分以计算熵的差值。&lt;br /&gt;
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Now reverse the reversible process and combine it with the said irreversible process. Applying the [[Clausius inequality]] on this loop,&lt;br /&gt;
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Now reverse the reversible process and combine it with the said irreversible process. Applying the Clausius inequality on this loop,&lt;br /&gt;
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现在把可逆过程逆过来，将其与上述不可逆过程结合。把克劳修斯不等式应用到这个循环,&lt;br /&gt;
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: &amp;lt;math&amp;gt;-\Delta S+\int\frac{\delta Q}{T}=\oint\frac{\delta Q}{T}&amp;lt; 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Thus,&lt;br /&gt;
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Thus,&lt;br /&gt;
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故,&lt;br /&gt;
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: &amp;lt;math&amp;gt;\Delta S \ge \int \frac{\delta Q}{T} \,\!&amp;lt;/math&amp;gt;&lt;br /&gt;
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where the equality holds if the transformation is reversible.&lt;br /&gt;
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where the equality holds if the transformation is reversible.&lt;br /&gt;
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如果变换可逆，等号成立。&lt;br /&gt;
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&lt;br /&gt;
Notice that if the process is an [[adiabatic process]], then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an adiabatic process, then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
注意，若该过程是一个&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝热过程 Adiabatic Process'''&amp;lt;/font&amp;gt;，则&amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;，故&amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
能量，可用的有用工作&lt;br /&gt;
&lt;br /&gt;
{{See also|Exergy}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an ''unlimited'' heat reservoir at temperature ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' and pressure ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' {{snd}}so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an unlimited heat reservoir at temperature T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; and pressure P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
考虑将第二定律应用于孤立系统(称为整体系统或宇宙)是一个重要而具有启发性的理想情形。该系统由两部分组成：研究关心的子系统和子系统的周围环境。因为想象的环境非常大，以至于它们可以被视为一个温度为 T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 且压力为 P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 的无限热源，因此无论有多少热被转移到（或来自）子系统，周围的温度将保持T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;；无论子系统的体积膨胀（或收缩）有多大，周围环境的压力都将保持不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Whatever changes to ''dS'' and ''dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy ''S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;'' of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
Whatever changes to dS and dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt; of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
无论子系统和周围环境单独地发生什么熵的变化 ''dS''和dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;&amp;lt;/font&amp;gt;，根据第二定律，孤立总体系统的熵S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;不能减小。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the [[first law of thermodynamics]], the change ''dU'' in the internal energy of the sub-system is the sum of the heat ''δq'' added to the sub-system, ''less'' any work ''δw'' done ''by'' the sub-system, ''plus'' any net chemical energy entering the sub-system ''d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;'', so that:&lt;br /&gt;
&lt;br /&gt;
According to the first law of thermodynamics, the change dU in the internal energy of the sub-system is the sum of the heat δq added to the sub-system, less any work δw done by the sub-system, plus any net chemical energy entering the sub-system d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, so that:&lt;br /&gt;
&lt;br /&gt;
根据热力学第一定律，子系统内能的变化 dU 是加在子系统上的热δq的和&amp;lt;font color = 'blue'&amp;gt;&amp;lt;/font&amp;gt;，减去子系统所做的任何功w，再加上进入子系统的任何净化学能 d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;，因此&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the [[chemical potential]]s of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the chemical potentials of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
其中μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;是外部环境中'''&amp;lt;font color = '#ff8000'&amp;gt;化学形态 chemical species&amp;lt;/font&amp;gt;'''的化学势。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
现在热量离开热源进入子系统是&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学△ qtr (- dS r) le tr dS / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
在这个过程中，首先使用了经典热力学中熵的定义(在统计热力学中，熵变、温度和吸收热量之间的关系'''&amp;lt;font color = '#32CD32'&amp;gt;可以将其推导出来 can be derived&amp;lt;/font&amp;gt;''') ，然后从上面的公式可以推导出第二定律的不等式。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work ''δw'' done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work δw done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
因此，子系统所做的任何净功δw必须服从&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学增量 w  le-dU + tds + sum  mu { iR } dN i，/ math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work ''δw'' done by the subsystem into the ''useful'' work ''δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt;'' that can be done ''by'' the sub-system, over and beyond the work ''p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV'' done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work δw done by the subsystem into the useful work δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; that can be done by the sub-system, over and beyond the work p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
将子系统所做的功δw划分为子系统可以完成的有用功δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; ，除了子系统在周围外部压力下膨胀所做的功p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV外，给出以下可用功（'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''）关系式:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the ''availability'' or ''[[exergy]]'' ''E'' of the subsystem,&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the availability or exergy E of the subsystem,&lt;br /&gt;
&lt;br /&gt;
为方便起见，可以把右边定义为热力学势的精确导数，称为子系统的'''&amp;lt;font color = 'ff8000'&amp;gt;可用性 Availability &amp;lt;/font&amp;gt;'''或'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;因此，第二定律意味着，对于任何可以简单地被视为分为一个子系统和一个与之接触的无限温度和压力&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;储存器&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt; '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;热源 Reservoir&amp;lt;/font&amp;gt;''' 的过程，The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done ''by'' the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done ''on'' the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done by the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done on the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
也就是。子系统有用能的变化加上子系统所做的有用功(或者，子系统有用能的变化减去除了'''&amp;lt;font color = '#ff8000'&amp;gt;压力热源&amp;lt;/font&amp;gt;'''外任何对系统做的功&amp;lt;/font&amp;gt;)必须小于或等于零。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper ''infinite-reservoir-like'' reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in ''E'' for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper infinite-reservoir-like reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in E for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
总之，如果选择一个合适的类似于无限库的参考状态作为现实世界中的系统环境，&lt;br /&gt;
则第二定律预测不可逆过程的''E''值减少，可逆过程的''E''值不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This expression together with the associated reference state permits a [[design engineer]] working at the macroscopic scale (above the [[thermodynamic limit]]) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (''Also, see [[process engineer]]''). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (''See [[Exergy efficiency|second law efficiency]]''.)&lt;br /&gt;
&lt;br /&gt;
This expression together with the associated reference state permits a design engineer working at the macroscopic scale (above the thermodynamic limit) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (Also, see process engineer). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (See second law efficiency.)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这个表达式和相关的参考状态允许设计工程师在宏观尺度（高于热力学极限）下使用第二定律，而无需直接测量或考虑整个孤立系统中的熵变。（另见'''&amp;lt;font color = '#ff8000'&amp;gt;工艺工程师process engineer&amp;lt;/font&amp;gt;'''）。这些变化已经在假设中被考虑到，该假设认为所考虑的系统可以在不改变参考状态的情况下与参考状态达到平衡。将其与可逆理想&amp;lt;font color = 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;进行比较，还可以找到一个过程或过程集合的效率（见'''&amp;lt;font color = '#ff8000'&amp;gt;第二定律效率second law efficiency&amp;lt;/font&amp;gt;'''）&lt;br /&gt;
&lt;br /&gt;
This approach to the Second Law is widely utilized in [[engineering]] practice, [[environmental accounting]], [[systems ecology]], and other disciplines.&lt;br /&gt;
&lt;br /&gt;
This approach to the Second Law is widely utilized in engineering practice, environmental accounting, systems ecology, and other disciplines.&lt;br /&gt;
&lt;br /&gt;
第二定律的这种方法被广泛应用于'''&amp;lt;font color = '#ff8000'&amp;gt;工程实践engineering practice&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;环境会计environmental accounting&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;系统生态学systems ecology&amp;lt;/font&amp;gt;'''等其他学科。&lt;br /&gt;
&lt;br /&gt;
===The second law in chemical thermodynamics===&lt;br /&gt;
&lt;br /&gt;
化学热力学的第二定律&lt;br /&gt;
&lt;br /&gt;
For a [[spontaneous process|spontaneous chemical process]] in a closed system at constant temperature and pressure without non-''PV'' work, the Clausius inequality Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;'' transforms into a condition for the change in [[Gibbs free energy]] &lt;br /&gt;
&lt;br /&gt;
For a spontaneous chemical process in a closed system at constant temperature and pressure without non-PV work, the Clausius inequality ΔS &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt; transforms into a condition for the change in Gibbs free energy &lt;br /&gt;
&lt;br /&gt;
对于一个&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;封闭系统中的自发化学过程，在没有 non-PV 功的情况下，克劳修斯不等式Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;''由于'''&amp;lt;font color = '#ff8000'&amp;gt;吉布斯自由能Gibbs free energy&amp;lt;/font&amp;gt;'''的变化而转化为：&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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or d''G'' &amp;lt; 0. For a similar process at constant temperature and volume, the change in [[Helmholtz free energy]] must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;/&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; The chemical equilibrium condition at constant ''T'' and ''p'' without electrical work is d''G'' = 0.&lt;br /&gt;
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or dG &amp;lt; 0. For a similar process at constant temperature and volume, the change in Helmholtz free energy must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products. The chemical equilibrium condition at constant T and p without electrical work is dG = 0.&lt;br /&gt;
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或者 dG &amp;lt; 0。对于一个相似的&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;过程，'''&amp;lt;font color = '#ff8000'&amp;gt;亥姆霍兹自由能 Helmholtz free energy &amp;lt;/font&amp;gt;'''的变化一定是负的， &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;。因此，一个负的自由能(G 或 A)变化是过程自发的必要条件。这是热力学第二定律在化学中最有用的形式，其中自由能的变化可以通过'''&amp;lt;font color = '#ff8000'&amp;gt;表列生成焓 Tabulated Enthalpies of Formation&amp;lt;/font&amp;gt;'''和反应物及产物的标准摩尔熵来计算。在温度和压力&amp;lt;/font&amp;gt;不变的情况下，化学平衡条件是 dG = 0。&lt;br /&gt;
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  -- [[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） tabulated enthalpies of formation 表列生成焓？？&lt;br /&gt;
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==History==&lt;br /&gt;
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历史&lt;br /&gt;
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{{See also|History of entropy}}&lt;br /&gt;
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[[File:Sadi Carnot.jpeg|thumb|upright|Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique]].]]&lt;br /&gt;
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Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique.]]&lt;br /&gt;
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尼古拉·莱昂纳尔·萨迪·卡诺穿着传统的巴黎综合理工学院制服&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to [[Nicolas Léonard Sadi Carnot]] in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to Nicolas Léonard Sadi Carnot in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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卡诺在1824年提出热转化为机械功的第一个理论。他是第一个正确认识到了转换效率取决于发动机和环境之间的温差的人。&lt;br /&gt;
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Recognizing the significance of [[James Prescott Joule]]'s work on the conservation of energy, [[Rudolf Clausius]] was the first to formulate the second law during 1850, in this form: heat does not flow ''spontaneously'' from cold to hot bodies. While common knowledge now, this was contrary to the [[caloric theory]] of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
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Recognizing the significance of James Prescott Joule's work on the conservation of energy, Rudolf Clausius was the first to formulate the second law during 1850, in this form: heat does not flow spontaneously from cold to hot bodies. While common knowledge now, this was contrary to the caloric theory of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''认识到'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;焦耳James Prescott Joule&amp;lt;/font&amp;gt;'''在能量守恒方面工作的重要性后，在1850年提出了第二定律的第一个公式，在这个公式中: 热不会自发地从冷物体流向热物体。虽然现在这是常识，但是这与当时流行的热理论相反，当时的热理论认为热是一种流体。从这些他推断出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 萨迪卡诺定律the principle of Sadi Carnot&amp;lt;/font&amp;gt;'''和熵的定义(1865年)。&lt;br /&gt;
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Established during the 19th century, the [[Kelvin-Planck statement|Kelvin-Planck statement of the Second Law]] says, &amp;quot;It is impossible for any device that operates on a [[cyclic process|cycle]] to receive heat from a single [[heat reservoir|reservoir]] and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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Established during the 19th century, the Kelvin-Planck statement of the Second Law says, &amp;quot;It is impossible for any device that operates on a cycle to receive heat from a single reservoir and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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19世纪提出的开尔文-普朗克第二陈述(Kelvin-Planck)表示：“任何循环运行的设备都不可能从单个热源接收热并产生净功。”这被证明与克劳修斯的陈述等价。&lt;br /&gt;
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The [[ergodic hypothesis]] is also important for the [[Boltzmann]] approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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The ergodic hypothesis is also important for the Boltzmann approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;遍历假设ergodic hypothesis&amp;lt;/font&amp;gt;'''对'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼方法Boltzmann approach&amp;lt;/font&amp;gt;'''也很重要。遍历假设认为在很长一段时间内，在具有相同能量的微观态相空间的某些区域所花费的时间与这个区域的体积成正比，即在很长一段时间内，所有可访问的微观状态出现/成立的可能性都是一样的。等价于说，&amp;lt;/font&amp;gt;它表明时间平均值和统计集合的平均值是相同的。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 觉得加上出现/成立好一点？&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a [[Macroscopic bodies|macroscopic system]]. This doctrine is obsolescent.&amp;lt;ref&amp;gt;Denbigh, K.G., Denbigh, J.S. (1985). ''Entropy in Relation to Incomplete Knowledge'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-25677-1}}, pp. 43–44.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Grandy, W.T., Jr (2008). ''Entropy and the Time Evolution of Macroscopic Systems'', Oxford University Press, Oxford, {{ISBN|978-0-19-954617-6}}, pp. 55–58.&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lambert&amp;gt;[http://entropysite.oxy.edu Entropy Sites — A Guide] Content selected by [[Frank L. Lambert]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a macroscopic system. This doctrine is obsolescent.&lt;br /&gt;
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克劳修斯还提出了一种传统的学说，他认为熵可以被理解为宏观系统中的'''&amp;lt;font color = '#ff8000'&amp;gt;分子“无序”molecular 'disorder'&amp;lt;/font&amp;gt;'''，但这种学说已经过时了。&lt;br /&gt;
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===Account given by Clausius===&lt;br /&gt;
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作者: 克劳修斯&lt;br /&gt;
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[[File:Clausius-1.jpg|thumb|upright|Rudolf Clausius]]&lt;br /&gt;
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Rudolf Clausius&lt;br /&gt;
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鲁道夫 · 克劳修斯&lt;br /&gt;
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In 1856, the German physicist [[Rudolf Clausius]] stated what he called the &amp;quot;second fundamental theorem in the [[mechanical theory of heat]]&amp;quot; in the following form:{{sfnp|Clausius|1867}}&lt;br /&gt;
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In 1856, the German physicist Rudolf Clausius stated what he called the &amp;quot;second fundamental theorem in the mechanical theory of heat&amp;quot; in the following form:&lt;br /&gt;
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1856年，德国物理学家'''&amp;lt;font color = '#ff8000'&amp;gt;鲁道夫 • 克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''阐述了他所谓的“热力学理论中的第二个基本定理second fundamental theorem in the mechanical theory of heat” ，其形式如下:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''Q'' is heat, ''T'' is temperature and ''N'' is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
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where Q is heat, T is temperature and N is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
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其中 Q 是热，T 是温度，N 是一个循环过程中所有非补偿的相变的“等价值”。后来在1865年，克劳修斯将“等价值”定义为熵。基于这个理论，同一年，第二定律最著名的版本在4月24日苏黎世哲学学会的一次演讲中被提出，在演讲的最后克劳修斯总结道:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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宇宙的熵趋于最大&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. [[universe]], as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. universe, as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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这句话是第二定律最著名的陈述。由于其语言松散模糊，如“宇宙universe”，和缺乏具体的条件，如“开放open”，“封闭closed”，或“孤立isolated”，许多人认为这一简单的陈述意味着热力学第二定律几乎适用于每一个可以想象的主题。这不是真的；这句话只是一个更广泛和更精确的描述的简化版本。&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an [[isolated system]] undergoing an arbitrary transformation is:&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an isolated system undergoing an arbitrary transformation is:&lt;br /&gt;
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就时间变化而言，&amp;lt;font color = 'blue'&amp;gt;一个&amp;lt;/font&amp;gt;经历任意变换的孤立系统&amp;lt;font color = 'blue'&amp;gt;的&amp;lt;/font&amp;gt;第二定律的数学表述是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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where&lt;br /&gt;
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where&lt;br /&gt;
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这里''S'' 是系统的熵&lt;br /&gt;
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: ''S'' is the entropy of the system and&lt;br /&gt;
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 S is the entropy of the system and&lt;br /&gt;
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: ''t'' is [[time]].&lt;br /&gt;
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 t is time.&lt;br /&gt;
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T是时间&lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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!-- 可逆过程需要与周围环境保持平衡。这对于一个孤立的系统是不可能的。因此，关于可逆过程的讨论已经转移到对封闭系统的分析----&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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平衡后用等号。另一种表述孤立系统第二定律的方法是：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of [[entropy production]] by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of entropy production by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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用&amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt;表示系统内所有进程'''&amp;lt;font color = '#ff8000'&amp;gt;熵产生Entropy Production&amp;lt;/font&amp;gt;'''的速率之和。这个公式的优点是它显示了熵产生的效果。熵产生率是一个非常重要的概念，因为它决定（或限制）热机的效率。乘以环境温度&amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt;，它给出所谓的耗散能&amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;。&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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封闭系统的第二定律(允许热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;交换和移动边界，但不允许物质交换)的表达式是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here&lt;br /&gt;
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Here&lt;br /&gt;
这里&lt;br /&gt;
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: &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; 是进入系统的热流。&lt;br /&gt;
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: &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
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 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; 是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;进入系统时的温度。&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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只有在系统内发生可逆过程的情况下等号才成立&amp;lt;/font&amp;gt;如果发生不可逆过程（在实际操作系统中就是这种情况）,则“＞”成立。如果系统有多处供热，必须求相应项的代数和。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 因为是中文环境所以统一用中文标点&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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对于开放系统(也允许物质交换) :&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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这里&amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; 是进入系统的熵流，与进入系统的物质流有关。它不应该与熵的时间导数混淆。如果物质在几个地方被供给，需要取这些贡献的代数和。&lt;br /&gt;
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==Statistical mechanics==&lt;br /&gt;
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统计力学&lt;br /&gt;
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[[Statistical mechanics]] gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a [[microstate (statistical mechanics)|microstate]] of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where ''N'' is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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Statistical mechanics gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a microstate of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where N is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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统计力学通过假设物质是由不断运动的原子和分子组成的，来对第二定律给出了解释。系统中每个粒子的一组特定的位置和速度称为系统的微观状态，由于系统的不断运动，系统不断地改变其微观状态。统计力学假设，在平衡状态下，系统处于&amp;lt;s&amp;gt;的&amp;lt;/s&amp;gt;每个微观状态的可能性是相等的。这个假设的提出直接导致第二定律必须子啊统计学意义上成立&amp;lt;/font&amp;gt;也就是说，第二定律在平均意义上成立，其中统计学变异取决于数量级1/{{radic|''N''}}，其中 N 是系统中粒子数&amp;lt;/font&amp;gt;。在日常(宏观)情况下，违反第二定律的概率几乎为零。然而，对于粒子数量很少的系统，热力学参数，包括熵，可能显示出与第二定律预测结果的显著的统计偏差。经典热力学理论不处理这些统计变量。&lt;br /&gt;
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（by Jie XIANG) 在通过假定一种物质由不断运动的原子和分子组成的前提下，统计力学对热力学第二定律进行了解释。系统中每个粒子其特定的位置和速度组成为系统的微观状态，由于（原子和分子的）不断运动，系统也持续改变其微观状态。统计力学假设，在系统力平衡的情况下，其微观状态其实是等可能发生的，进而能够得出结论：热力学第二定律必须在统计学意义上成立。也就是说，第二定律将保持均值不变， 其统计变化为1 /√N，N为系统中的粒子数。在日常(宏观)情况下，违反热力学第二定律的概率几乎为零，但是，对于粒子数量非常少的系统，其热力学参数（包括熵）可能会显示出与第二定律所预测的明显统计偏差。然而经典热力学理论并不处理这些统计变量。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 为什么会有两个？迷茫。&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）是不是两个译者翻译的？如果第二段翻译不用，可以括号或删除线标一下&lt;br /&gt;
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==Derivation from statistical mechanics==&lt;br /&gt;
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从统计力学导出&lt;br /&gt;
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{{Further information|H-theorem}}&lt;br /&gt;
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The first mechanical argument of the [[Kinetic theory of gases]] that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to [[James Clerk Maxwell]] in 1860;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Gyenis | first1 = Balazs | doi = 10.1016/j.shpsb.2017.01.001 | title = Maxwell and the normal distribution: A colored story of probability, independence, and tendency towards equilibrium | journal = Studies in History and Philosophy of Modern Physics | volume = 57 | pages = 53–65 | year = 2017| arxiv = 1702.01411 | bibcode = 2017SHPMP..57...53G }}&amp;lt;/ref&amp;gt; [[Ludwig Boltzmann]] with his [[H-theorem]] of 1872 also argued that due to collisions gases should over time tend toward the [[Maxwell–Boltzmann distribution]].&lt;br /&gt;
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The first mechanical argument of the Kinetic theory of gases that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to James Clerk Maxwell in 1860; Ludwig Boltzmann with his H-theorem of 1872 also argued that due to collisions gases should over time tend toward the Maxwell–Boltzmann distribution.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;气体动力学Kinetic theory of gases&amp;lt;/font&amp;gt;'''理论的第一个力学论证由'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦James Clerk Maxwell&amp;lt;/font&amp;gt;'''在1860年给出，指出分子碰撞引起温度均衡化，因此整体趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;平衡 Equilibrium &amp;lt;/font&amp;gt;'''； '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼Ludwig Boltzmann&amp;lt;/font&amp;gt;'''在1872年提出的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; H 定理H-theorem&amp;lt;/font&amp;gt;'''也认为，气体由于碰撞应该随着时间的推移趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦-波兹曼分布Maxwell–Boltzmann distribution&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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Due to [[Loschmidt's paradox]], derivations of the Second Law have to make an assumption regarding the past, namely that the system is [[Correlation and dependence|uncorrelated]] at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a [[boundary condition]], and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the [[Big Bang]]), though [[Boltzmann brain|other scenarios]] have also been suggested.&amp;lt;ref name=&amp;quot;Hawking AOT&amp;quot;&amp;gt;{{cite journal|last=Hawking|first=SW|title=Arrow of time in cosmology|journal=Phys. Rev. D|year=1985|volume=32|issue=10|pages=2489–2495|doi=10.1103/PhysRevD.32.2489|pmid=9956019|bibcode = 1985PhRvD..32.2489H }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last = Greene | first = Brian | authorlink = Brian Greene | title = The Fabric of the Cosmos | url = https://archive.org/details/fabricofcosmossp00gree | url-access = registration | publisher = Alfred A. Knopf | year = 2004 | page = [https://archive.org/details/fabricofcosmossp00gree/page/171 171] | isbn = 978-0-375-41288-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lebowitz&amp;gt;{{cite journal|last=Lebowitz|first=Joel L.|title= Boltzmann's Entropy and Time's Arrow|journal=Physics Today|date=September 1993|volume=46|issue=9|pages=32–38|url=http://users.df.uba.ar/ariel/materias/FT3_2008_1C/papers_pdf/lebowitz_370.pdf|accessdate=2013-02-22|doi=10.1063/1.881363|bibcode = 1993PhT....46i..32L }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Due to Loschmidt's paradox, derivations of the Second Law have to make an assumption regarding the past, namely that the system is uncorrelated at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a boundary condition, and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the Big Bang), though other scenarios have also been suggested.&lt;br /&gt;
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由于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论Loschmidt's paradox&amp;lt;/font&amp;gt;'''，第二定律的导出必须对过去做出一个假设，即系统在过去的某个时刻是不相关的；这样的假设允许进行简单的概率处理。这个假设通常被认为是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边界条件boundary condition&amp;lt;/font&amp;gt;'''，因此热力学第二定律最终是过去某个地方的初始条件的结果，可能是在宇宙的开始('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;大爆炸 the Big Bang&amp;lt;/font&amp;gt;''') ，尽管也有人提出了其他场景。&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the [[Statistical mechanics#Fundamental postulate|fundamental postulate]], also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy.{{citation needed|date=August 2012}} The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the fundamental postulate, also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy. The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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基于这些假设，在统计力学中，第二定律不是一个假设，而是'''统计力学基本假设Statistical mechanics#Fundamental postulate|fundamental postulate'''的一个结果，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;等先验概率假设 equal prior probability postulate&amp;lt;/font&amp;gt;'''。这个基本假设表明，只要一个人清楚地知道，简单的概率论证只适用于未来，而对于过去，有辅助的信息来源告诉我们，它是低熵的。如果我们把熵的概念限制在热平衡系统中，那么热力学第二定律的第一部分即热孤立系统的熵只能增加，是等先验概率假设的一个显然结果。处于热平衡状态的孤立系统且具有能量&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;的熵表示为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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其中&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 是处于 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;E +\delta E&amp;lt;/math这个小区间内的量子态数目。这里的 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 是一个宏观上很小的固定能量区间。严格地说，这意味着熵取决于对&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;的选择。然而在热力学极限下（例如无穷大系统的极限），狭义的熵(单位体积或单位质量的熵)不依赖于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;。&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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假设我们有一个孤立系统，其宏观状态由许多变量指定。这些宏观变量可以是总体积、活塞在系统中的位置等。从而&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;将取决于这些变量的值。如果某个变量不是固定的（我们不会在某个位置夹住活塞) ，那么因为在平衡状态下到达所有可到达状态的可能性是相等的，平衡状态下的自由变量会使 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，因为这是平衡状态下最可能的情况。&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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如果该变量最初固定到某个值然后释放，当达到新的平衡时，变量将自我调整使得 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，这意味着熵将增加或保持不变（如果变量初始固定的值恰好是平衡值）。&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's [[H-theorem]], however, proves that the quantity {{math|''H''}} increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's H-theorem, however, proves that the quantity  increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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假设我们初始位于一个平衡状态，突然移除了对一个变量的约束。我们做完这件事的时候，可达到的微观状态的数为&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;，但是系统还没有达到平衡，所以系统处于某些可达到的状态的实际概率还不等于先验概率 &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;。我们已经知道，最终的平衡状态相对于之前的平衡状态，熵会增加或者保持不变。然而，玻耳兹曼的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;H定理H-theorem&amp;lt;/font&amp;gt;'''证明系统在不处于平衡态的期间，那个量作为时间的函数单调增加。&lt;br /&gt;
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===Derivation of the entropy change for reversible processes===&lt;br /&gt;
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可逆过程熵变的推导&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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热力学第二定律的第二部分指出，经历可逆过程的系统的熵变为:&lt;br /&gt;
&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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其中温度定义为:&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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See [[Microcanonical ensemble|here]] for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the [[adiabatic theorem]] of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
&lt;br /&gt;
See here for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the adiabatic theorem of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
&lt;br /&gt;
请参阅'''此处Microcanonical ensemble|here'''查看该定义的正当性。假设系统有一些可以改变的外部参数 x。一般来说，系统的能量本征态将依赖于 x。根据量子力学的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;绝热定理adiabatic theorem&amp;lt;/font&amp;gt;'''，在系统哈密顿量无限缓慢变化的极限下，系统将保持在相同的'''&amp;lt;font color = '#ff8000'&amp;gt;能量本征态 energy eigenstate&amp;lt;/font&amp;gt;'''，因此系统的能量会随着其所在能量本征态的能量变化而变化。&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能量本征态 不懂翻译是否正确&lt;br /&gt;
  --[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)我觉得是这样的--[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
&lt;br /&gt;
The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
&lt;br /&gt;
对于外部变量 x 可以定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;广义力generalized force&amp;lt;/font&amp;gt;''' X ，因此如果 x 增加 dx，那么&amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; 就是系统所做的功。例如，如果 x 是体积，那么 X 就是压强。一个已知处于能量本征态&amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt;的系统的广义力为：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
&lt;br /&gt;
Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
&lt;br /&gt;
由于系统可以在&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 区间内的任意能量本征态内，我们将系统的广义力定义为上述表达式的期望值:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
&lt;br /&gt;
To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
&lt;br /&gt;
为了计算平均值，我们按照能量本征态来划分&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt;，通过计算有多少能量本征态的&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;值在区间在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;之间。把这个数字叫做为 &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;，我们有:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The average defining the generalized force can now be written:&lt;br /&gt;
&lt;br /&gt;
The average defining the generalized force can now be written:&lt;br /&gt;
&lt;br /&gt;
根据平均值定义的广义力现在可以写成:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
&lt;br /&gt;
We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
&lt;br /&gt;
我们可以把它和由恒定能量 E 下的 x 导出来的熵联系起来。假定我们把 x 改变至 x + dx。然后因为能量本征态依赖于 x，  &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 将会改变，这导致能量本征态进入或超出&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; 之间的范围。让我们再次关注&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; 处于 &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt; 之间的能量本征态。由于这些能量本征态的能量增加了 Y dx，所有这些在 E-Y dx 到 E 之间能量本征态都从 E 以下移动到 E 以上。 因此有&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
&lt;br /&gt;
such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
&lt;br /&gt;
这些的能量本征态。如果&amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;，则所有这些能量本征态将移动到 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;的范围内，使得&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增加。从&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上的能量本征态数目为 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;。它们的差&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
因此是 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增长的净贡献。请注意如果 Y dx 大于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;，那么将会有能量本征态从 E 以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上。它们在&amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;中都有计数，因此上述表达式在这种情况下也是有效的。&lt;br /&gt;
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Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
&lt;br /&gt;
Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
&lt;br /&gt;
将上面的表达式表示为对 E 的导数，并且对 Y 求和得到表达式:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;的对数关于x的导数由以下方式给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
第一项是集约型的，即它不能根据系统大小进行缩放。相反，最后一项跟随逆系统的大小而缩放，因此将在热力学极限中消失。因此我们发现:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Combining this with&lt;br /&gt;
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Combining this with&lt;br /&gt;
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将这个和下面式子结合&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Gives:&lt;br /&gt;
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Gives:&lt;br /&gt;
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给出：&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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===Derivation for systems described by the canonical ensemble===&lt;br /&gt;
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正则系综系统的推导&lt;br /&gt;
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If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the [[canonical ensemble]]:&lt;br /&gt;
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If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the canonical ensemble:&lt;br /&gt;
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如果一个系统与某个温度为T的热浴热接触，那么在平衡状态下，关于能量本征值的概率分布值由'''&amp;lt;font color = '#ff8000'&amp;gt;正则系综canonical ensemble&amp;lt;/font&amp;gt;'''给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the [[Partition function (statistical mechanics)|partition function]]. We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. It follows from the general formula for the entropy:&lt;br /&gt;
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Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the partition function. &amp;lt;font color = 'red'&amp;gt;We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. &amp;lt;/font&amp;gt;It follows from the general formula for the entropy:&lt;br /&gt;
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这里 Z 是一个使所有概率之和归一化到 1 的因子，这个函数被称为'''&amp;lt;font color = '#ff8000'&amp;gt;配分函数Partition function (statistical mechanics)|partition function&amp;lt;/font&amp;gt;'''。现在我们考虑对温度和能级所依赖的外部参数的无限小的可逆改变。它遵循熵的一般公式:&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能级依赖温度吗？即“现在我们考虑……的可逆改变”当中，“on which the energy levels depend”修饰（1）in the external parameters，还是（2）in the temperature and in the external parameters&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）修饰in the external parameters&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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that&lt;br /&gt;
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that&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
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Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
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把正则系综的数学形式 &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; 插入，可以得到:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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生命体&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as [[What is Life?|Erwin Schrödinger]], [[Léon Brillouin]]&amp;lt;ref&amp;gt;Léon Brillouin [https://books.google.com/books?hl=en&amp;amp;lr=&amp;amp;id=tPXVbiw_1P0C ''Science and Information Theory''] (Academic Press, 1962) (Dover, 2004)&amp;lt;/ref&amp;gt; and [[Life and Energy|Isaac Asimov]]. It is also the topic of current{{When|date=July 2019}} research.{{Citation needed|date=July 2019}}&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as Erwin Schrödinger, Léon Brillouin and Isaac Asimov. It is also the topic of current research.&lt;br /&gt;
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表述热力学主要有两种方式：(a)描述从一种热力学平衡状态到另一种状态的路径，(b)通过系统保持不变但周围环境的总熵增加的循环过程。这两种方法有助于理解生命过程。这个话题大大超出了本文的范围，但是已经有一些研究者考虑过这个问题，比如'''&amp;lt;font color = '#ff8000'&amp;gt;薛定谔Erwin Schrödinger&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;布里渊Léon Brillouin&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;阿西莫夫Isaac Asimov&amp;lt;/font&amp;gt;'''。这也是当前研究的主题。&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of [[metabolism]], give out breakdown products and heat. Plants [[Photosynthesis|take in radiative energy]] from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of metabolism, give out breakdown products and heat. Plants take in radiative energy from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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从近似的角度来看，生命体可以被认为是(b)的一个例子。近似地，一只动物的身体状态每天循环，使得它几乎没有什么变化。动物吸收食物、水和氧气，经过'''&amp;lt;font color = '#ff8000'&amp;gt;新陈代谢metabolism&amp;lt;/font&amp;gt;'''，输出分解的产物和热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;。植物吸收来自太阳的辐射能量，这可以认为是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;，以及二氧化碳和水，然后它们释放氧气。它们就是这样生长的。&amp;lt;font color = 'blue'&amp;gt;它们&amp;lt;/font&amp;gt;最终会死亡，尸体腐烂，大部分重新变成二氧化碳和水。这可以看作是一个循环过程。总的来说，阳光来自一个高温的源——太阳，它的能量被传递到一个较低的温度源，即向太空辐射。这个过程使得植物周围环境的熵增加。因此从循环过程的角度来看，动物和植物服从热力学第二定律。简单的热机效率概念很难适用于这个问题，因为它们假定系统是封闭的。&lt;br /&gt;
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From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to [[Non-equilibrium thermodynamics|unsettled current debate or research]]. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to unsettled current debate or research. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
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从(a)的热力学观点考虑，即考虑从一个平衡状态到另一个平衡状态的路径，只会产生一个粗略近似的图像，因为生命体从来不会处于热力学平衡状态。生物体经常必须被认为是开放的系统，因为它们吸收营养物质并排出废弃物。开放系统热力学目前通常从一个热力学平衡状态到另一个状态的路径的角度来考虑，或者是考虑局部热力学平衡近似下的流。生命体的问题可以通过假定一个流不变的稳态的近似来进一步简化。对于这样的近似，目前有很多关于熵产生的一般原理的未解决的争论或研究。尽管如此，从热力学第二定律的这个角度出发衍生出来的想法对生物是有启发意义的。&lt;br /&gt;
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==Gravitational systems==&lt;br /&gt;
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== Gravitational systems 重力系统 ==&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive [[heat capacity]], meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;&amp;gt;Grandy, W.T. (Jr) (2008), p. 151.&amp;lt;/ref&amp;gt; Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive heat capacity, meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it. Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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在不需要对其广义相对论解释的系统中，物体始终具有正热容，这意味着温度随能量而升高。因此，当能量从高温物体流向低温物体时，发射源温度降低而冷源温度升高；因此，温差会随着时间的流逝而减小。对于引力很重要并且需要广义相对论的系统而言，情况并非总是如此。这样的系统可以自发地向质量和能量不均匀的分布转变。这适用于大规模的宇宙，因此可能很难或不可能对它应用第二定律。除此之外，广义相对论描述的系统的热力学超出了本文的范围。&lt;br /&gt;
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==Non-equilibrium states==&lt;br /&gt;
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== Non-equilibrium states 非平衡状态 ==&lt;br /&gt;
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The theory of classical or [[thermodynamic equilibrium|equilibrium thermodynamics]] is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Callen, H.B. (1960/1985), p. 15.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The theory of classical or equilibrium thermodynamics is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&lt;br /&gt;
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经典热力学或平衡热力学理论是理想化的。其主要假定或假设（通常甚至没有明确地陈述），是基于系统处在自身内部的热力学平衡状态。通常，在自然界可能发现的，在给定时间包含物理系统的空间区域，其热力学平衡状态并不是能用最严格的术语来表示。用较宽泛的术语来说，整个宇宙中没有任何东西是或曾经是真正处于精确的热力学平衡状态中。&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of [[thermodynamic equilibrium]]. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable [[thermal fluctuations|fluctuations]]. There is an exception, the case of [[critical point (thermodynamics)|critical states]], which exhibit to the naked eye the phenomenon of [[critical opalescence]]. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of thermodynamic equilibrium. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable fluctuations. There is an exception, the case of critical states, which exhibit to the naked eye the phenomenon of critical opalescence. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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为了进行物理分析，通常做一个热力学平衡的假设就足够方便可行。 这样的假设可能依赖于反复试验和试错来证明其合理性。如果假设是合理的，那么它通常会非常有价值，因为它使热力学理论成为可能。平衡假设的要素是，观察到的系统会无限期地保持不变，并且因为系统中有很多粒子，以至于完全可以忽略其微粒的本质。通常在这种平衡假设下，不存在一个宏观上可检测到的波动。临界状态是一个例外，肉眼可以观察到临界'''&amp;lt;font color = '#ff8000'&amp;gt;乳光现象opalescence&amp;lt;/font&amp;gt;'''。对于临界状态的实验室研究，需要非常长的观察时间。&lt;br /&gt;
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In all cases, the assumption of [[thermodynamic equilibrium]], once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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In all cases, the assumption of thermodynamic equilibrium, once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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在所有情况下，一旦做出了热力学平衡的假设，则作为一个结果意味着假定中的能改变系统熵的候选波动不存在。&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 190.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&lt;br /&gt;
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物理系统很容易发生内部宏观变化，其速度之快足以使熵的恒定性假设失效。或物理系统中的粒子太少，以至于微粒的本质在可观测的波动中显而易见。那么热力学平衡的假设就会被放弃。对于非平衡态，熵没有绝对的通俗定义。&lt;br /&gt;
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There are intermediate cases, in which the assumption of local [[thermodynamic equilibrium]] is a very good approximation,&amp;lt;ref&amp;gt;Gyarmati, I. (1967/1970), pp. 4-14.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Glansdorff, P., Prigogine, I. (1971).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003).&amp;lt;/ref&amp;gt; but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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There are intermediate cases, in which the assumption of local thermodynamic equilibrium is a very good approximation, but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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还有一些中间情况，其中局部热力学平衡的假设是一个非常好的近似，但严格地说它仍然是一个近似值，不是理论上的理想值。&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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对于一般的非平衡状态，考虑其他量的统计力学定义可能是有用的，这些量可以方便地称为“熵”，但是它们不应该与第二定律正确定义的熵混淆或合并。这些其他量确实属于统计力学，而不属于第二定律的主要领域——热力学。&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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宏观上可观察到的波动的物理学超出了本文的范围。&lt;br /&gt;
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==Arrow of time==&lt;br /&gt;
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== Arrow of time 时间之箭 ==&lt;br /&gt;
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时间之箭&lt;br /&gt;
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{{Further information|Entropy (arrow of time)}}Thermodynamic Asymmetry in Time&lt;br /&gt;
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Thermodynamic Asymmetry in Time&lt;br /&gt;
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时间中的热力学不对称性&lt;br /&gt;
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{{See also|Arrow of time}}&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with notions that have been observed of the fundamental laws of physics, namely [[CPT symmetry]], since the second law applies statistically, it is hypothesized, on time-asymmetric ''boundary conditions''.&amp;lt;ref&amp;gt;{{cite web|first=Craig|last=Callender|url=https://plato.stanford.edu/archives/fall2011/entries/time-thermo/|title=Thermodynamic Asymmetry in Time|encyclopedia=Stanford Encyclopedia of Philosophy|date=29 July 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with symmetries observed in the fundamental laws of physics (particularly CPT symmetry) since the second law applies statistically on time-asymmetric boundary conditions.[78] The second law has been related to the difference between moving forwards and backwards in time, or to the principle that cause precedes effect (the causal arrow of time, or causality).[79]&lt;br /&gt;
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热力学第二定律是在时间方向上不对称的物理定律。这与在物理学基本定律中观察到的对称性概念（特别是CPT对称性）&amp;lt;s&amp;gt;并&amp;lt;/s&amp;gt;没有冲突，因为第二定律在统计上适用于时间非对称边界条件。第二定律与时间向前和向后移动之间的差异有关，或者与原因先于结果的原理（时间的因果关系或因果关系）有关。&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect ([[Arrow of time#The causal arrow of time|the causal arrow of time]]).&amp;lt;ref&amp;gt;{{cite book | first = J.J.| last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1|display-authors=etal}} chapter 6&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect (the causal arrow of time).&lt;br /&gt;
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第二定律被提出来侧面解释时间向前和向后移动的区别，例如为什么原因先于结果(因果关系的时间箭头)。&lt;br /&gt;
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==Irreversibility==&lt;br /&gt;
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== Irreversibility 不可逆性 ==&lt;br /&gt;
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Irreversibility in [[thermodynamic process]]es is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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Irreversibility in thermodynamic processes is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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热力学过程中的不可逆性是热力学作用不对称特性的结果，而不是物体内部任何不可逆的微观性质的结果。热力学作用是对参与体施加的宏观外部干预，并非来自其内部属性。由于没有认识到这一点，产生了被称为“悖论”的说法。&lt;br /&gt;
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=== Loschmidt's paradox 洛施密特悖论 ===&lt;br /&gt;
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{{main article|Loschmidt's paradox}}&lt;br /&gt;
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[[Loschmidt's paradox]], also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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Loschmidt's paradox, also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论 Loschmidt's paradox&amp;lt;/font&amp;gt;'''，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;可逆性悖论reversibility paradox&amp;lt;/font&amp;gt;'''，它反驳说，从描述宏观系统微观演化的时间对称动力学中，不可能推导出不可逆过程。&lt;br /&gt;
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In the opinion of [[Erwin Schrödinger|Schrödinger]], &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropy{{snd}}or for that matter, all other irreversible statements{{snd}}so that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot;&amp;lt;ref&amp;gt;[[Erwin Schrödinger|Schrödinger, E.]] (1950), p.&amp;amp;nbsp;192.&amp;lt;/ref&amp;gt; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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In the opinion of Schrödinger, &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropyor for that matter, all other irreversible statementsso that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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薛定谔的认为：“现在很明显，您必须以何种方式重新制定熵定律（亦或者所有其他不可逆陈述）以使它们能够从可逆模型中得出。你不能只谈论一个孤立的系统，而应该至少谈论两个。你可以暂时认为它们与世界其它地方是孤立的，但并不总是相互孤立的。”这两个系统被隔离内壁彼此分开，直到被热力学（由热力学定律设想出来的）作用而拆除。热力学作用是从外部施加的，不受支配系统组成部分的可逆微观动力学定律的制约。这是不可逆转的原因。本文中第二定律的陈述符合薛定谔的的建议。 因果关系在逻辑上先于第二定律，而不是由第二定律推导而来。&lt;br /&gt;
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=== Poincaré recurrence theorem 庞加莱始态复现定理 ===&lt;br /&gt;
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{{Main article|Poincaré recurrence theorem}}&lt;br /&gt;
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The [[Poincaré recurrence theorem]] considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics. Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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The Poincaré recurrence theorem considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics.Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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庞加莱始态复现定理考虑了孤立物理系统的理论微观描述。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）又叫递归定理吗？存疑 &lt;br /&gt;
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经过热力学作用去除隔离内壁之后，便可以认为其是热力学系统的模型。在足够长的时间后，系统将返回到非常接近初始状态的微观定义状态。庞加莱复现时间是指回归前经过的时间长度。它极其漫长，可能比宇宙的寿命还要长，并且对那个被热力学作用拆除的内壁的几何形状敏感。复现定理可能被认为是明显与热力学第二定律相矛盾的。但是，更显而易见的是，它只是通过移除两个系统之间的内壁而形成的隔离系统中热力学平衡的微观模型。对所有典型的热力学系统的实际目的，人们无法观察到如此之长的复现时间很长（比宇宙的寿命长很多倍）。尽管如此，还是有人会想像一个机会可以等待庞加莱复现的出现，然后重新插入被热力学作用去除的内壁。然后很明显，不可逆性的出现是由于庞加莱复现完全不可预测的特性，因为仅仅给出了初始状态是热力学平衡之一，就像宏观热力学的情况一样。即使一个人可以等那么长时间，他也没有实际操作的可能性来选择合适的时间重新插入内壁。庞加莱始态复现定理为洛施密特悖论提供了一个解决方案。如果一个孤立的热力学系统能以多倍于平均庞加莱复现时间的长度下被监控，则该系统的热力学行为在时间反转下将变得恒定。&lt;br /&gt;
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[[File:James-clerk-maxwell3.jpg|thumb|upright|James Clerk Maxwell]]&lt;br /&gt;
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James Clerk Maxwell&lt;br /&gt;
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詹姆斯·克拉克·麦克斯韦&lt;br /&gt;
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=== Maxwell's demon 麦克斯韦妖 ===&lt;br /&gt;
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{{unreferenced|section|date=August 2018}}&lt;br /&gt;
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{{main article|Maxwell's demon}}&lt;br /&gt;
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[[James Clerk Maxwell]] imagined one container divided into two parts, ''A'' and ''B''. Both parts are filled with the same [[gas]] at equal temperatures and placed next to each other, separated by a wall. Observing the [[molecule]]s on both sides, an imaginary [[demon]] guards a microscopic trapdoor in the wall. When a faster-than-average molecule from ''A'' flies towards the trapdoor, the demon opens it, and the molecule will fly from ''A'' to ''B''. The average [[speed]] of the molecules in ''B'' will have increased while in ''A'' they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in ''A'' and increases in ''B'', contrary to the second law of thermodynamics.&lt;br /&gt;
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James Clerk Maxwell imagined one container divided into two parts, A and B. Both parts are filled with the same gas at equal temperatures and placed next to each other, separated by a wall. Observing the molecules on both sides, an imaginary demon guards a microscopic trapdoor in the wall. When a faster-than-average molecule from A flies towards the trapdoor, the demon opens it, and the molecule will fly from A to B. The average speed of the molecules in B will have increased while in A they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in A and increases in B, contrary to the second law of thermodynamics.&lt;br /&gt;
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'''麦克斯韦 James Clerk Maxwell'''设想一个容器分为A和B两部分。两部分均在相同温度下充满相同的气体，并彼此相邻由内壁隔开。一个虚构的妖精看守着一个内壁上的微型陷门，并观察者内壁两边的分子。当来自A的速度快于平均水平的分子飞向门时，妖精将门打开，该分子将从A飞向B。B中分子的平均速度将增加，而A中分子的平均速度将降低。由于平均分子速度与温度相对应，因此与热力学第二定律相反，温度在A中降低，在B中升高。&lt;br /&gt;
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One response to this question was suggested in 1929 by [[Leó Szilárd]] and later by [[Léon Brillouin]]. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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One response to this question was suggested in 1929 by Leó Szilárd and later by Léon Brillouin. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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1929年，Leó Szilárd和后来的 Léon Brillouin 对这个问题提出了一个答案。Szilárd指出，现实生活中的麦克斯韦妖需要一些测量分子速度的方法，而获取信息的过程需要消耗能量。&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between ''A'' and ''B''. It is therefore performing [[thermodynamic operation]]s on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between A and B. It is therefore performing thermodynamic operations on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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麦克斯韦的“妖”重复地改变 A 和 B 之间壁的热透性。因此，它是在微观尺度上执行热力学操作，而不仅仅是观察普通的自发或自然的宏观热力学过程。&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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语录&lt;br /&gt;
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{{quote|The law that entropy always increases holds, I think, the supreme position among the [[Laws of science|laws of Nature]]. If someone points out to you that your pet theory of the [[universe]] is in disagreement with [[Maxwell's equations]] – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.|Sir [[Arthur Stanley Eddington]], ''The Nature of the Physical World'' (1927)}}&lt;br /&gt;
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The law that entropy always increases holds, I think, the supreme position among the laws of Nature. If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equations – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.&lt;br /&gt;
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— Sir Arthur Stanley Eddington, The Nature of the Physical World (1927)&lt;br /&gt;
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我认为，熵总是增加的定律在自然定律中占有至高无上的地位。如果有人指出您的宇宙宠物理论杜撰的宇宙理论与麦克斯韦方程不符，那么麦克斯韦方程就遇到麻烦了。如果发现您的理论与观察不符，那么，可能是这些实验学家搞砸了。但是，如果发现您的理论违反了热力学第二定律，那么就没有希望了。除了在深深的耻辱中崩溃，别无他法。&lt;br /&gt;
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—亚瑟·斯坦利·爱丁顿爵士，《自然世界》（1927年）&lt;br /&gt;
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{{quote|There have been nearly as many formulations of the second law as there have been discussions of it.|Philosopher / Physicist [[Percy Williams Bridgman|P.W. Bridgman]], (1941)}}&lt;br /&gt;
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There have been nearly as many formulations of the second law as there have been discussions of it.&lt;br /&gt;
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— Philosopher / Physicist P.W. Bridgman, (1941)&lt;br /&gt;
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关于第二定律的公式几乎与关于第二定律的讨论一样多。&lt;br /&gt;
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—哲学家/物理学家 布里奇曼（1941）&lt;br /&gt;
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{{quote|Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.|[[Clifford Truesdell|Truesdell, C.]], Muncaster, R. G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 17.}}&lt;br /&gt;
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Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.&lt;br /&gt;
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克劳修斯（Sir Clausius）是西伯利亚文“宇宙的能量是恒定的；宇宙的熵趋于最大。”的作者。连续热力学的目标远远不能解释“宇宙”，但是在该理论内，我们可以很容易地以某种类似于克劳修斯的方式得出明确的陈述，只是它仅仅指代一个简单的物体：一个有限大小的孤立物体。&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.  特雷斯德尔，C.，蒙卡斯特，R.G.（1980）。麦克斯韦的单原子气体动力学理论的基本原理，被作为“理性力学”的一个分支，纽约学术出版社，ISBN 0-12-701350-4，第1页. 17。&lt;br /&gt;
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==See also==&lt;br /&gt;
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==See also==&lt;br /&gt;
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参见&lt;br /&gt;
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*[[Clausius–Duhem inequality]]&lt;br /&gt;
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*[[Fluctuation theorem]]&lt;br /&gt;
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*[[Heat death of the universe]]&lt;br /&gt;
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*[[History of thermodynamics]]&lt;br /&gt;
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*[[Jarzynski equality]]&lt;br /&gt;
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*[[Laws of thermodynamics]]&lt;br /&gt;
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*[[Maximum entropy thermodynamics]]&lt;br /&gt;
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*[[Quantum thermodynamics]]&lt;br /&gt;
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*[[Reflections on the Motive Power of Fire]]&lt;br /&gt;
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*[[Relativistic heat conduction]]&lt;br /&gt;
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*[[Thermal diode]]&lt;br /&gt;
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*[[Thermodynamic equilibrium]]&lt;br /&gt;
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==References==&lt;br /&gt;
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==References==&lt;br /&gt;
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参考资料&lt;br /&gt;
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{{reflist|20em}}&lt;br /&gt;
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===Sources===&lt;br /&gt;
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===Sources===&lt;br /&gt;
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资料来源&lt;br /&gt;
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{{refbegin|50em}}&lt;br /&gt;
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*Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (1st edition 1968), third edition 1983, Cambridge University Press, Cambridge UK, {{ISBN|0-521-25445-0}}.&lt;br /&gt;
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*[[Peter Atkins|Atkins, P.W.]], de Paula, J. (2006). ''Atkins' Physical Chemistry'', eighth edition, W.H. Freeman, New York, {{ISBN|978-0-7167-8759-4}}.&lt;br /&gt;
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*Attard, P. (2012). ''Non-equilibrium Thermodynamics and Statistical Mechanics: Foundations and Applications'', Oxford University Press, Oxford UK, {{ISBN|978-0-19-966276-0}}.&lt;br /&gt;
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*Baierlein, R. (1999). ''Thermal Physics'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-59082-5}}.&lt;br /&gt;
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*Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics, New York, {{ISBN|0-88318-797-3}}.&lt;br /&gt;
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*{{Cite book|title=Concepts in thermal physics|last=Blundell|first=Stephen J.|last2=Blundell|authorlink1=Stephen Blundell|first2=Katherine M.|authorlink2=Katherine Blundell|publisher=[[Oxford University Press]]|year=2010|isbn=9780199562107|edition=2nd|location=Oxford|pages=|oclc=607907330|doi=10.1093/acprof:oso/9780199562091.001.0001 |url=http://cds.cern.ch/record/1235139}}&lt;br /&gt;
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*[[Ludwig Boltzmann|Boltzmann, L.]] (1896/1964). ''Lectures on Gas Theory'', translated by S.G. Brush, University of California Press, Berkeley.&lt;br /&gt;
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*Borgnakke, C., Sonntag., R.E. (2009). ''Fundamentals of Thermodynamics'', seventh edition, Wiley, {{ISBN|978-0-470-04192-5}}.&lt;br /&gt;
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*Buchdahl, H.A. (1966). ''The Concepts of Classical Thermodynamics'', Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Percy Williams Bridgman|Bridgman, P.W.]] (1943). ''The Nature of Thermodynamics'', Harvard University Press, Cambridge MA.&lt;br /&gt;
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*[[Herbert Callen|Callen, H.B.]] (1960/1985). ''Thermodynamics and an Introduction to Thermostatistics'', (1st edition 1960) 2nd edition 1985, Wiley, New York, {{ISBN|0-471-86256-8}}.&lt;br /&gt;
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*{{cite journal|author=C. Carathéodory|author1-link=Constantin Carathéodory&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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2010年3月15日 | 第355-386页 |  http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;ppn=ppn235181684_0067&amp;amp;dmdid=dmdlog_0033&amp;amp;l=1&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). ''The Second Law of Thermodynamics'', Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
&lt;br /&gt;
|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). The Second Law of Thermodynamics, Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können.(p. 363) | doi 10.1007 / bf01450409}.译文可以在这里找到[ http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf ]。同时，在 Kestin，j。(1976).热力学第二定律，Dowden，Hutchinson &amp;amp; Ross，Stroudsburg PA. 。&lt;br /&gt;
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*[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986). [http://www.worldcat.org/title/reflections-on-the-motive-power-of-fire-a-critical-edition-with-the-surviving-scientific-manuscripts-translated-and-edited-by-fox-robert/oclc/812944517&amp;amp;referer=brief_results ''Reflections on the motive power of fire''], Manchester University Press, Manchester UK, {{ISBN|0-7190-1741-6}}. [https://archive.org/stream/reflectionsonmot00carnrich#page/n7/mode/2up Also here.]&lt;br /&gt;
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*[[Sydney Chapman (mathematician)|Chapman, S.]], [[Thomas George Cowling|Cowling, T.G.]] (1939/1970). ''The Mathematical Theory of Non-uniform gases. An Account of the Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases'', third edition 1970, Cambridge University Press, London.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Ueber Die Bewegende Kraft Der Wärme Und Die Gesetze, Welche Sich Daraus Für Die Wärmelehre Selbst Ableiten Lassen|journal=Annalen der Physik|year=1850|volume=79|issue=4|pages=368–397, 500–524|url=http://gallica.bnf.fr/ark:/12148/bpt6k15164w/f518.image|accessdate=26 June 2012|doi=10.1002/andp.18501550403|bibcode = 1850AnP...155..500C |hdl=2027/uc1.$b242250|hdl-access=free}} Translated into English: {{cite journal|last=Clausius|first=R.|title=On the Moving Force of Heat, and the Laws regarding the Nature of Heat itself which are deducible therefrom|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1851| volume=2|series=4th|issue=VIII|pages=1–21; 102–119 |url=https://archive.org/stream/londonedinburghd02lond#page/1/mode/1up|accessdate=26 June 2012&lt;br /&gt;
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|doi=10.1080/14786445108646819}}&lt;br /&gt;
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|doi=10.1080/14786445108646819}}&lt;br /&gt;
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10.1080 / 14786445108646819}&lt;br /&gt;
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* {{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Über eine veränderte Form des zweiten Hauptsatzes der mechanischen Wärmetheorie|year=1854|journal=Annalen der Physik|volume=xciii|issue=12|pages=481–506|url=http://zfbb.thulb.uni-jena.de/servlets/MCRFileNodeServlet/jportal_derivate_00140956/18541691202_ftp.pdf|accessdate=24 March 2014|doi=10.1002/andp.18541691202&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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| bibcode 1854AnP... 169. 1856年7月 | 第2卷 | 第4页 | 第86页 |  https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=242014年3月&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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热力学理论及其在蒸汽机和物体物理性质中的应用 | 1867年 | 出版商 John van Voorst | 位置: 伦敦 |  https://archive.org/details/mechanicaltheor04claugoog|quote=editions:pwr_sbkwa8ic。 2012年6月19日&lt;br /&gt;
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*[[Clifford Truesdell|Truesdell, C.]] (1980). ''The Tragicomical History of Thermodynamics 1822–1854'', Springer, New York, {{ISBN|0-387-90403-4}}.&lt;br /&gt;
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*Uffink, J. (2001). Bluff your way in the second law of thermodynamics, ''Stud. Hist. Phil. Mod. Phys.'', '''32'''(3): 305–394.&lt;br /&gt;
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*Uffink, J. (2003). Irreversibility and the Second Law of Thermodynamics, Chapter 7 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003), Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963). ''Lectures in Statistical Mechanics'', American Mathematical Society, Providence RI.&lt;br /&gt;
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*[[Mark Zemansky|Zemansky, M.W.]] (1968). ''Heat and Thermodynamics. An Intermediate Textbook'', fifth edition, McGraw-Hill Book Company, New York.&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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进一步阅读&lt;br /&gt;
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*Goldstein, Martin, and Inge F., 1993. ''The Refrigerator and the Universe''. Harvard Univ. Press. Chpts. 4–9 contain an introduction to the Second Law, one a bit less technical than this entry. {{ISBN|978-0-674-75324-2}}&lt;br /&gt;
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*Leff, Harvey S., and Rex, Andrew F. (eds.) 2003. ''Maxwell's Demon 2 : Entropy, classical and quantum information, computing''. Bristol UK; Philadelphia PA: [[Institute of Physics]]. {{ISBN|978-0-585-49237-7}}&lt;br /&gt;
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*{{Cite book | first = J.J. | last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1}}(technical).&lt;br /&gt;
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*{{cite book |title=Reflections on the Motive Power of Heat and on Machines Fitted to Develop That Power |last=Carnot |first=Sadi |editor=[[Robert Henry Thurston|Thurston, Robert Henry]] |year=1890 |publisher=J. Wiley &amp;amp; Sons |location=New York |isbn= |pages= }} ([https://books.google.com/books?id=tgdJAAAAIAAJ full text of 1897 ed.]) ([http://www.history.rochester.edu/steam/carnot/1943/ html])&lt;br /&gt;
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*Stephen Jay Kline (1999). ''The Low-Down on Entropy and Interpretive Thermodynamics'', La Cañada, CA: DCW Industries. {{ISBN|1-928729-01-0}}.&lt;br /&gt;
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*{{cite book | last1 = Kostic | first1 = M | year = 2011 | title = Revisiting The Second Law of Energy Degradation and Entropy Generation: From Sadi Carnot's Ingenious Reasoning to Holistic Generalization | journal = AIP Conf. Proc. | volume = 1411 | issue = 1| pages = 327–350 | doi = 10.1063/1.3665247 | isbn = 978-0-7354-0985-9 | bibcode = 2011AIPC.1411..327K | series = AIP Conference Proceedings | citeseerx = 10.1.1.405.1945 }} also at [https://web.archive.org/web/20130420222450/http://www.kostic.niu.edu/2ndLaw/Revisiting%20The%20Second%20Law%20of%20Energy%20Degradation%20and%20Entropy%20Generation%20-%20From%20Carnot%20to%20Holistic%20Generalization-4.pdf].&lt;br /&gt;
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==External links==&lt;br /&gt;
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==External links==&lt;br /&gt;
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外部链接&lt;br /&gt;
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*[[Stanford Encyclopedia of Philosophy]]: &amp;quot;[http://plato.stanford.edu/entries/statphys-statmech/ Philosophy of Statistical Mechanics]&amp;quot; – by Lawrence Sklar.&lt;br /&gt;
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*[http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node30.html ''Second law of thermodynamics''] in the MIT Course [http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/notes.html ''Unified Thermodynamics and Propulsion''] from Prof. Z. S. Spakovszky&lt;br /&gt;
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*[[E.T. Jaynes]], 1988, &amp;quot;[http://bayes.wustl.edu/etj/articles/ccarnot.pdf The evolution of Carnot's principle],&amp;quot; in G. J. Erickson and C. R. Smith (eds.)''Maximum-Entropy and Bayesian Methods in Science and Engineering, Vol'' 1: p.&amp;amp;nbsp;267.&lt;br /&gt;
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*[http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf Caratheodory, C., &amp;quot;Examination of the foundations of thermodynamics,&amp;quot; trans. by D. H. Delphenich]&lt;br /&gt;
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* [https://www.bbc.co.uk/programmes/p004y2bm The Second Law of Thermodynamics], BBC Radio 4 discussion with John Gribbin, Peter Atkins &amp;amp; Monica Grady (''In Our Time'', Dec. 16, 2004)&lt;br /&gt;
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* [http://mdpi.org/entropy/papers/e6010001.pdf [[Entropy (journal)]], 2004]&lt;br /&gt;
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* [https://www.journals.uchicago.edu/doi/abs/10.1086/663835 The Journal of the International Society for the History of Philosophy of Science, 2012]&lt;br /&gt;
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[[Category:Concepts in physics]]&lt;br /&gt;
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Category:Concepts in physics&lt;br /&gt;
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分类: 物理概念&lt;br /&gt;
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[[Category:Laws of thermodynamics|2]]&lt;br /&gt;
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[[Category:Non-equilibrium thermodynamics]]&lt;br /&gt;
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Category:Non-equilibrium thermodynamics&lt;br /&gt;
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类别: 非平衡态热力学&lt;br /&gt;
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[[Category:Philosophy of thermal and statistical physics]]&lt;br /&gt;
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Category:Philosophy of thermal and statistical physics&lt;br /&gt;
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类别: 热力学和统计物理学哲学&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Second law of thermodynamics]]. Its edit history can be viewed at [[热力学第二定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12828</id>
		<title>热力学第二定律</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12828"/>
		<updated>2020-08-17T14:45:55Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Introduction引言 */&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{short description|Law of physics}}&lt;br /&gt;
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{{Thermodynamics|laws}}&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 全文审校中，heat一般统一译为“热”，caloric 或者 caloric of heat 译为“热量”。这一点是否准确，有待各位同学和专家的批评指正&lt;br /&gt;
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The '''second law of thermodynamics''' states that the total [[entropy]] of an [[isolated system]] can never decrease over time, and is constant if and only if all processes are reversible.&amp;lt;ref&amp;gt;http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node38.html#SECTION05224000000000000000&amp;lt;/ref&amp;gt; Isolated systems spontaneously evolve towards [[thermodynamic equilibrium]], the state with maximum entropy. &lt;br /&gt;
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The second law of thermodynamics states that the total entropy of an isolated system can never decrease over time, and is constant if and only if all processes are reversible. Isolated systems spontaneously evolve towards thermodynamic equilibrium, the state with maximum entropy. &lt;br /&gt;
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&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第二定律 Second Law Of Thermodynamics'''&amp;lt;/font&amp;gt;指出，&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''孤立系统Isolated System'''&amp;lt;/font&amp;gt;的总熵永远不会随着时间而减少，且当且仅当所有过程都是可逆时，总熵才恒定。孤立系统自发地到达到热力学平衡状态，此时为熵最大的状态。&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in [[thermodynamic equilibrium]], or is undergoing a (fictive) [[Reversible process (thermodynamics)|reversible process]]. In all processes that occur, including [[spontaneous process]]es,&amp;lt;ref&amp;gt;Atkins and de Paula, p.78&amp;lt;/ref&amp;gt; the total entropy of the system and its surroundings increases and the process is [[Irreversible process|irreversible in the thermodynamic sense]]. The increase in entropy accounts for the irreversibility of natural processes, and the [[Arrow of time|asymmetry between future and past]].&amp;lt;ref&amp;gt;{{cite book|last=Zohuri|first=Bahman|title=Dimensional Analysis Beyond the Pi Theorem|url=https://books.google.com/books?id=pRVuDQAAQBAJ|year=2016|publisher=Springer|isbn=978-3-319-45726-0|page=[https://books.google.com.ph/books?id=pRVuDQAAQBAJ&amp;amp;pg=PA111&amp;amp;dq=%22increase+in+entropy+accounts+for+the+irreversibility+of+natural+processes+and+the+asymmetry+between+future+and+past.%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ved=0ahUKEwj6spb61tbaAhUFS7wKHfftDtIQ6AEIKDAA#v=onepage&amp;amp;q=%22increase%20in%20entropy%20accounts%20for%20the%20irreversibility%20of%20natural%20processes%20and%20the%20asymmetry%20between%20future%20and%20past.%22 111]}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in thermodynamic equilibrium, or is undergoing a (fictive) reversible process. In all processes that occur, including spontaneous processes, the total entropy of the system and its surroundings increases and the process is irreversible in the thermodynamic sense. The increase in entropy accounts for the irreversibility of natural processes, and the asymmetry between future and past.&lt;br /&gt;
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系统及其周围环境的总熵在理想情况下可以保持不变，在这种情况下，系统处于热力学平衡状态，或者正在经历一个假想的可逆过程。所有过程中，包括&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''自发过程 Spontaneous Processes'''&amp;lt;/font&amp;gt;，系统及其周围环境的总熵增加，这一过程在热力学意义上是不可逆的。熵的增加解释了自然过程的不可逆性，以及未来和过去之间的不对称性。&lt;br /&gt;
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Historically, the second law was an [[Empirical evidence|empirical finding]] that was accepted as an axiom of [[thermodynamics|thermodynamic theory]].  [[Statistical mechanics]], classical or [[quantum thermodynamics|quantum]], explains the microscopic origin of the law.&lt;br /&gt;
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Historically, the second law was an empirical finding that was accepted as an axiom of thermodynamic theory.  Statistical mechanics, classical or quantum, explains the microscopic origin of the law.&lt;br /&gt;
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从历史上看，第二定律是一个经验性的发现，它被认为是热力学理论中的公理。经典统计力学、量子统计力学都可以解释这个定律的微观起源。&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist [[Nicolas Léonard Sadi Carnot|Sadi Carnot]], who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as [[Carnot's theorem (thermodynamics)|Carnot's rule]] or limit.&amp;lt;ref&amp;gt;Jaffe, R.L., Taylor, W. (2018). ''The Physics of Energy'', Cambridge University Press, Cambridge UK, pages 150, 151, 259, 772, 743.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist Sadi Carnot, who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as Carnot's rule or limit.&lt;br /&gt;
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&amp;lt;font color = 'blue'&amp;gt;热力学第二定律可以使用多种方法表述。它的第一个公式归功于法国科学家&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺Sadi Carnot'''&amp;lt;/font&amp;gt;，卡诺在1824年证明了在热机中将热转化为功的效率有一个上限。第二定律的这个方面也被称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺规则Carnot's Rule'''&amp;lt;/font&amp;gt;或&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺限制Carnot's Limit'''&amp;lt;/font&amp;gt;。&amp;lt;/font&amp;gt;&lt;br /&gt;
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'''热力学第二定律 Second Law of Thermodynamics'''是热力学的四条基本定律之一，它表述了热力学过程的不可逆性——孤立系统自发地朝着热力学平衡方向（即最大熵状态）演化，另一种表述为：第二类永动机永不可能实现。&lt;br /&gt;
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--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）这里是不是少了一段原文？&lt;br /&gt;
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==Introduction引言==&lt;br /&gt;
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[[File:Heat flow hot to cold.png|thumb|upright|Heat flow from hot water to cold water. 热总是从热水流向冷水]]&lt;br /&gt;
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The [[first law of thermodynamics]] provides the definition of the [[internal energy]] of a [[thermodynamic system]], and expresses the law of [[conservation of energy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 40–41.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Munster A. (1970), pp. 8–9, 50–51.&amp;lt;/ref&amp;gt; The second law is concerned with the direction of natural processes.&amp;lt;ref&amp;gt;{{harvnb|Mandl|1988}}&amp;lt;/ref&amp;gt; It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such [[Phenomenon|phenomena]] are accounted for in terms of [[entropy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 79–107.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994), Section 71, pp. 113–154.&amp;lt;/ref&amp;gt; If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, {{math|''S''}}, increases.&lt;br /&gt;
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The first law of thermodynamics provides the definition of the internal energy of a thermodynamic system, and expresses the law of conservation of energy. The second law is concerned with the direction of natural processes. It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such phenomena are accounted for in terms of entropy. If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&lt;br /&gt;
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'''热力学第一定律 First Law Of Thermodynamics'''定义了热力学系统所涉及到的'''内能 Internal Energy''，并体现了能量守恒定律。热力学第二定律与'''自然过程Natural Processes'''的方向有关。它断言自然过程只在一种意义上进行，且不可逆 。例如，当有了传导和辐射的（传播）路径时，热总是自发地从一个较热的物体流向一个较冷的物体。这种现象可以用'''熵Entropy'''来解释。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;若一个'''孤立系统Isolated System'''最初在具有隔热内壁的系统内维持热力学平衡，通过一些操作使内壁透热，则该系统可自发地演变，最终达到一个新的内部热力学平衡，且其总熵{{math|''S''}}增加。If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy ({{math|d''S''}}) of a system is defined to result from an infinitesimal transfer of heat ({{math|δ''Q''}}) to a [[closed system]] (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature ({{math|''T''}}) of the system in equilibrium and the surroundings which supply the heat:&amp;lt;ref&amp;gt;Bailyn, M. (1994), p. 120.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy () of a system is defined to result from an infinitesimal transfer of heat () to a closed system (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature () of the system in equilibrium and the surroundings which supply the heat:&lt;br /&gt;
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在假想的可逆过程中，系统的熵的无穷小增量&amp;lt;math&amp;gt;dS&amp;lt;/math&amp;gt;被定义为由无穷小的热&amp;lt;math&amp;gt;δQ&amp;lt;/math&amp;gt;传递到一个封闭系统(允许能量进入或出去，但不允许物质传递的系统）除以该平衡系统和提供热的环境的共同温度 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat ({{mvar|δ}}) and infinitesimal amounts of entropy ({{mvar|d}}) because entropy is a [[function of state]], while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the [[Clausius Theorem|inequality]] &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt; Mortimer, R. G. ''Physical Chemistry''. 3rd ed., p. 120, Academic Press, 2008. &amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;FermiBook&amp;quot;&amp;gt; Fermi, E. ''Thermodynamics'', footnote on p. 48, Dover Publications,1956 (still in print). &amp;lt;/ref&amp;gt; &lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat () and infinitesimal amounts of entropy () because entropy is a function of state, while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the inequality  &lt;br /&gt;
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用不同的符号''δ''和''d''表示无穷小量的热和无穷小量的熵，因为熵是状态函数，而热和功一样，并不是状态函数。对于实际上可能存在的不与环境发生物质交换的无穷小过程，第二定律要求系统熵增量满足不等式：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature ({{math|''T''}}) and the temperature of the surroundings ({{math|''T''}}&amp;lt;sub&amp;gt;''surr''&amp;lt;/sub&amp;gt;).&lt;br /&gt;
&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Adkins, C.J. (1968/1983), p. 75.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt; &lt;br /&gt;
Note that the equality still applies for pure heat flow,&lt;br /&gt;
&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt; Schmidt-Rohr, K. (2014). &amp;quot;Expansion Work without the External Pressure, and Thermodynamics in Terms of Quasistatic Irreversible Processes&amp;quot; ''J. Chem. Educ.'' '''91''': 402-409.  https://dx.doi.org/10.1021/ed3008704 &amp;lt;/ref&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature () and the temperature of the surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;).Note that the equality still applies for pure heat flow。&lt;br /&gt;
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这是因为在这种情况下的一般过程可能包括周围环境对系统所做的功，该功在系统内部会产生摩擦或粘滞效应，此时一个化学反应可能正在系统内部进行，或因为热传递实际上是不可逆地发生，系统温度&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;和周围环境温度&amp;lt;math&amp;gt;T_surr&amp;lt;/math&amp;gt;之间的差异驱动了热传递的发生。注意该等式也适用于'''纯热流Pure Heat Flow'''&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(actually possible quasistatic irreversible process without composition change 实际上可能的,不改变成分的准静态不可逆性).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;&amp;gt;Oxtoby, D. W; Gillis, H.P., [[Laurie Butler|Butler, L. J.]] (2015).''Principles of Modern Chemistry'', Brooks Cole. p. 617.  {{ISBN|978-1305079113}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; Introducing a set of internal variables &amp;lt;math&amp;gt;\xi&amp;lt;/math&amp;gt; to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure ''P'' and temperature ''T'')&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.[16] [11] Introducing a set of internal variables {\displaystyle \xi }\xi  to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure P and temperature T)[15] from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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这种方法是通过测量'''热容曲线 Heat Capacity Curves'''和相变中熵的变化，来准确测定纯物质的绝对熵的基础，比如'''量热法calorimetry'''。&lt;br /&gt;
为了描述一个热力学系统在物理平衡状态下(要求有明确定义的等压P和等温T)偏离化学平衡状态，引入一组内部变量&amp;lt;math&amp;gt;x_i&amp;lt;/math&amp;gt;,可以用该等式&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} - \frac{1}{T} \sum_{j} \, \Xi_{j} \,\delta \xi_j \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(closed system, actually possible quasistatic irreversible process 封闭系统，实际可能的准静态不可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of ''the second principle of thermodynamics'' – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&amp;lt;ref&amp;gt; Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769–781.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of the second principle of thermodynamics – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&lt;br /&gt;
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第二项代表内部变量的功，这些内部变量可能受到外部影响的干扰，但是系统不能通过内部变量做任何正功。这种说法介绍了热力学系统在时间上演化不可能逆转的性质，并且可以被认为是热力学第二原理的另外一种相当于熵原理的表述。该公式可以被看作使用'''熵Entropy'''的热力学第二定律等价表述&lt;br /&gt;
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The [[zeroth law of thermodynamics]] in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body.&amp;lt;ref name=dugdale&amp;gt;{{cite book|author=J. S. Dugdale|title=Entropy and its Physical Meaning|publisher=Taylor &amp;amp; Francis|year=1996|isbn=978-0-7484-0569-5|page=13|quote=This law is the basis of temperature.}}&amp;lt;/ref&amp;gt; For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows{{how?|date=August 2018}} a distinguished temperature scale, which defines an absolute, [[thermodynamic temperature]], independent of the properties of any particular reference thermometric body.&amp;lt;ref&amp;gt;[[Mark Zemansky|Zemansky, M.W.]] (1968), pp. 207–209.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Quinn, T.J. (1983), p. 8.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The zeroth law of thermodynamics in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body. For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows a distinguished temperature scale, which defines an absolute, thermodynamic temperature, independent of the properties of any particular reference thermometric body.&lt;br /&gt;
&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;&lt;br /&gt;
热力学第零定律是指如果两个热力学系统都与第三个热力学系统处于热平衡(温度相同)状态，则它们彼此也必定处于热平衡状态。热力学第零定律在它这个简短叙述中让人们认识到热平衡关系中的两个物体具有相同的温度，特别是当一个被测物体与一个参考测温物体具有相同的温度时，对于两个处于热平衡状态的物体，有无限多的'''&amp;lt;font color = '#ff8000'&amp;gt;经验温标empirical temperature scales&amp;lt;/font&amp;gt;'''，这通常取决于特定参考温度体的性质。热力学第二定律允许区分'''&amp;lt;font color = '#ff8000'&amp;gt;温度标度temperature scale&amp;lt;/font&amp;gt;'''，它定义了一个绝对的热力学温度，与任何特定的参考温度体的性质无关。&lt;br /&gt;
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==Various statements of the law热力学第二定律的不同表述==&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways,&amp;lt;ref name=MIT&amp;gt;{{cite web|title=Concept and Statements of the Second Law|url=http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node37.html|accessdate=2010-10-07 |publisher=web.mit.edu}}&amp;lt;/ref&amp;gt; the most prominent classical statements{{sfnp|Lieb|Yngvason|1999}} being the statement by [[Rudolf Clausius]] (1854), the statement by [[William Thomson, 1st Baron Kelvin|Lord Kelvin]] (1851), and the statement in axiomatic thermodynamics by [[Constantin Carathéodory]] (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.{{sfnp|Rao|2004|p=213}}&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways, the most prominent classical statements being the statement by Rudolf Clausius (1854), the statement by Lord Kelvin (1851), and the statement in axiomatic thermodynamics by Constantin Carathéodory (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.&lt;br /&gt;
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热力学第二定律可以用许多特定的方式来表达，最突出的经典陈述是 '''克劳修斯 Rudolf Clausius''' (1854)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，'''开尔文 Kelvin''' (1851)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，以及康斯坦丁·卡拉西奥多里 Constantin Carathéodory(1909)在'''&amp;lt;font color = '#ff8000'&amp;gt;公理化热力学axiomatic thermodynamics&amp;lt;/font&amp;gt;'''中的&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;。这些&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;用一般的物理术语来描述定律，引用某些过程的不可能性。克劳修斯和开尔文表述被证明是等价的。&lt;br /&gt;
  --[[用户:厚朴|厚朴]]（[[用户讨论:厚朴|讨论]]）statement的表述需要统一，同样的statement by Rudolf Clausius这里需要统一开尔文 克劳修斯 Kelvin Clausius&lt;br /&gt;
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===Carnot's principle卡诺原理===&lt;br /&gt;
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The historical origin&amp;lt;ref&amp;gt;[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986).&amp;lt;/ref&amp;gt; of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a [[Carnot heat engine]], fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the [[caloric theory]] of heat was seriously considered, before the recognition of the [[first law of thermodynamics]], and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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The historical origin of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a Carnot heat engine, fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the caloric theory of heat was seriously considered, before the recognition of the first law of thermodynamics, and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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热力学第二定律的历史起源是'''卡诺原理Carnot's principle'''。&lt;br /&gt;
它指的是'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机Carnot heat engine&amp;lt;/font&amp;gt;'''的一个循环，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;它&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;卡诺热机&amp;lt;/font&amp;gt;以'''&amp;lt;font color = '#ff8000'&amp;gt;准静态quasi-static&amp;lt;/font&amp;gt;'''的极限慢速运转，因此热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;和功在子系统之间进行传递，子系统总是处于它们自己内部的热力学平衡状态。&lt;br /&gt;
卡诺热机是研究热机效率的工程师特别感兴趣的理想装置。&lt;br /&gt;
当卡诺发现卡诺原理时，'''&amp;lt;font color = '#ff8000'&amp;gt;热量理论caloric theory of heat&amp;lt;/font&amp;gt;'''还没有得到重视，热力学第一定律还没有得到承认，熵的概念还没有数学表达。&lt;br /&gt;
根据第一定律的解释，它在物理上等同于热力学第二定律，并沿用至今。&lt;br /&gt;
在热力学第一定律被发现之前，卡诺最初的论点是从热量理论的观点出发的。&lt;br /&gt;
下面是他书中的一些例子：&lt;br /&gt;
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::...''wherever there exists a difference of temperature, motive power can be produced.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 51.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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...wherever there exists a difference of temperature, motive power can be produced.&lt;br /&gt;
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……只要有温差，就能产生动力。&lt;br /&gt;
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::The production of motive power is then due in steam engines not to an actual consumption of caloric, but ''to its transportation from a warm body to a cold body ...''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 46.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The production of motive power is then due in steam engines not to an actual consumption of caloric, but to its transportation from a warm body to a cold body ...&lt;br /&gt;
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动力的产生不是由于蒸汽机实际消耗的热量，而是由于它从一个较热的物体&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;运输&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到一个较冷的物体……。&lt;br /&gt;
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::''The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 68.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.&lt;br /&gt;
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热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;的原动力与实现热的媒介无关，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量的数量&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;热的量&amp;lt;/font&amp;gt;完全取决于两个物体之间的温度，最后是热量的传递。&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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用现代术语&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;来说&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;，卡诺原理可能更为准确:&lt;br /&gt;
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::The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]] (1980), Chapter 5.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983), pp. 56–58.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Münster, A. (1970), p. 11.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998), pp.67–75.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008), p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Eu, B.C. (2002), pp. 32–35.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&lt;br /&gt;
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准静态卡诺循环或可逆卡诺循环的效率只取决于两种热源的温度，而且无论工作物质是什么，效率是相同的。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;只有&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;使用&amp;lt;/font&amp;gt;两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。 A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;/font&amp;gt;''' &lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）最后一句进行了补充 意译&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我没太看懂卡诺表述，所以不能确定这里的补充是否正确。可以再看一下“与工作物质交换热源”部分的表述是否准确&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）如果不确定，可以考虑将这句话标注为疑难句；或直接按原文直译&lt;br /&gt;
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===Clausius statement克劳修斯表述===&lt;br /&gt;
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The German scientist [[Rudolf Clausius]] laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work.{{sfnp|Clausius|1850}} His formulation of the second law, which was published in German in 1854, is known as the ''Clausius statement'':&lt;br /&gt;
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The German scientist Rudolf Clausius laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work. His formulation of the second law, which was published in German in 1854, is known as the Clausius statement:&lt;br /&gt;
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1850年，德国科学家'''鲁道夫·克劳修斯 Rudolf Clausius''' 通过研究热传递和功之间的关系，为热力学第二定律&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;实验室&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;奠定了基础。他在1854年用德语发表的论文中所提及的热力学第二定律定义被称为克劳修斯表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.{{sfnp|Clausius|1854|p=86}}&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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不可能把热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从低温物体传递到高温物体而不产生其他影响。 &lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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克劳修斯的表述使用了“'''&amp;lt;font color = '#ff8000'&amp;gt;热通道Passage Of Heat&amp;lt;/font&amp;gt;'''”的概念。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;正如通常在热力学的讨论，这意味着“能量作为热的净转移” ，而不是另一种形式上的&amp;quot;分摊转账&amp;quot;或其他。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;&lt;br /&gt;
在热力学的讨论中，通常这意味着“能量作为热的形式的净转移” ，而不是指其他方式的转移。&amp;lt;/font&amp;gt;&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）不太理解分摊转账contributory transfers &lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）  我觉得应该是说，energy as '''heat''' 而不是 as其他方式的转移&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）我认为这里不要把contributory transfer看作一个专有名词去理解，从contributory的本意“A contributory factor of a problem or accident is one of the things which caused it to exist or happen.”来理解即可，感觉嘉树理解的是对的。&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of [[refrigeration]], for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of refrigeration, for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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如果不对系统&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;进行外部功&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;外部做功&amp;lt;/font&amp;gt;，热&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;量就&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;不能自发地从冷区流向热区，这一点从制冷的普通经验中也可以看出。在冰箱中，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量从冷到热，但只有在外部媒介——制冷系统的强制作用下才会发生变化。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;只有在外部媒介也就是制冷系统的强制作用下热才会从冷区流到热区。&amp;lt;/font&amp;gt;&lt;br /&gt;
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===Kelvin statements开尔文表述===&lt;br /&gt;
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[[William Thomson, 1st Baron Kelvin|Lord Kelvin]] expressed the second law in several wordings.&lt;br /&gt;
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Lord Kelvin expressed the second law in several wordings.&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文勋爵 Lord Kelvin&amp;lt;/font&amp;gt;''' &amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;用几个字表达&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;了热力学第二定律。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 感觉”用几个字“怪怪的，所以删掉了&lt;br /&gt;
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::It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;无法从单一热源取热使其完全转化为有用功而不对环境产生影响。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能从单一热源取热使之完全转换为有用的功而不产生其他影响。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 改的内容和原文内容不太对应。这个摘自百度百科，另参见 严子浚(1994). 对热力学第二定律开尔文表述的一点讨论, 大学物理: 13(2).&lt;br /&gt;
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::It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.{{sfnp|Thomson|1851}}&lt;br /&gt;
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It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;通过无生命物质的作用，不可能通过将物质的任何部分冷却到低于周围物体最冷的温度来产生机械效应。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能通过无生命物质的作用，将物质的任何部分冷却到低于周围物体最低的温度并产生'''&amp;lt;font color = '#ff8000'&amp;gt;机械效应 Mechanical Effect&amp;lt;/font&amp;gt;'''。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）无生命物质可以意译为机器吗&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我不太懂这个，不过感觉最好不要吧。&lt;br /&gt;
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===Equivalence of the Clausius and the Kelvin statements克劳修斯和开尔文表述的等价性===&lt;br /&gt;
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[[Image:Deriving Kelvin Statement from Clausius Statement.svg|thumb|Derive Kelvin Statement from Clausius Statement从克劳修斯表述推导出开尔文表述]]&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed [[Carnot engine]] as shown by the figure. The [[Heat engine#Efficiency|efficiency]] of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; from the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the [[first law of thermodynamics]], as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed Carnot engine as shown by the figure. The efficiency of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat from &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the first law of thermodynamics, as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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假设有一个热机违反了开尔文定理: 也就是说，这个热机以循环的方式吸收热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;并将其&amp;lt;font color = 'blue'&amp;gt;完全&amp;lt;/font&amp;gt;转化为功，而&amp;lt;font color = 'blue'&amp;gt;且&amp;lt;/font&amp;gt;不产生任何影响。现&amp;lt;font color = 'blue'&amp;gt;在将其&amp;lt;/font&amp;gt;与反向卡诺&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;发动&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;机&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;相对应&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;比较&amp;lt;/font&amp;gt;，如图所示。&lt;br /&gt;
普通热机的效率为η，反向热机的效率为1/η。这对&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热机的联合作用为&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;联合热机的净效应和唯一效应是&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; 将热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从较冷热源&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到较热热源，这违反了克劳修斯表述。（这是能量守恒定律的结果，因为系统的总能量保持不变&amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;，所以&amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt;。）因此，违反开尔文表述意味着违反克劳修斯表述，即克劳修斯表述暗示了开尔文表述。我们可以用类似的方式证明开尔文表述暗示了克劳修斯表述，因此两者是等价的。&lt;br /&gt;
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===Planck's proposition普朗克&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;假设&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;命题&amp;lt;/font&amp;gt;===&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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普朗克提出了直接来自经验的如下命题。这有时被认为是他对热力学第二定律的表述，但他认为这是热力学第二定律推导的起点。&lt;br /&gt;
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::It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 86.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 319.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;建造一台发动机是不可能的，这台发动机将在一个完整的循环中工作，&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能建造一台发动机，使其在一个完整的循环中工作，&amp;lt;/font&amp;gt;并且除了提高重量和冷却热储以外不会产生任何效果。&lt;br /&gt;
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===Relation between Kelvin's statement and Planck's proposition 开尔文表述与普朗克命题的关系===&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;[[Kelvin-Planck statement]]&amp;quot; of the law, as for example in the text by [[Dirk ter Haar|ter Haar]] and [[Harald Wergeland|Wergeland]].&amp;lt;ref&amp;gt;[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966), p. 17.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;Kelvin-Planck statement&amp;quot; of the law, as for example in the text by ter Haar and Wergeland.&lt;br /&gt;
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教科书中几乎总是用“'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文-普朗克表述 Kelvin-Planck Statement&amp;lt;/font&amp;gt;'''”来称呼该定律，例如'''&amp;lt;font color = '#ff8000'&amp;gt;德克·特哈尔 Diek ter Haar&amp;lt;/font&amp;gt;''' 和'''&amp;lt;font color = '#ff8000'&amp;gt;哈拉尔德·沃格兰 Harald Wergeland&amp;lt;/font&amp;gt;''' 就是这样表述的。&lt;br /&gt;
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The '''Kelvin–Planck statement''' (or the ''heat engine statement'') of the second law of thermodynamics states that &lt;br /&gt;
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The Kelvin–Planck statement (or the heat engine statement) of the second law of thermodynamics states that &lt;br /&gt;
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热力学第二定律的开尔文-普朗克表述（或称“'''&amp;lt;font color = '#ff8000'&amp;gt;热机表述 Heat Engine Statement&amp;lt;/font&amp;gt;'''”）指出&lt;br /&gt;
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::It is impossible to devise a [[thermodynamic cycle|cyclically]] operating device, the sole effect of which is to absorb energy in the form of heat from a single [[heat reservoir|thermal reservoir]] and to deliver an equivalent amount of [[Work (physics)|work]].&amp;lt;ref name=&amp;quot;Rao&amp;quot;&amp;gt;{{cite book|last=Rao|first=Y. V. C.|title=Chemical Engineering Thermodynamics|publisher=Universities Press|isbn=978-81-7371-048-3|page=158|year=1997}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to devise a cyclically operating device, the sole effect of which is to absorb energy in the form of heat from a single thermal reservoir and to deliver an equivalent amount of work.&lt;br /&gt;
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设计一种唯一效果是从单一热源吸收热并提供等量的功的循环运行装置是不可能的。&lt;br /&gt;
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===Planck's statement 普朗克表述===&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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普朗克表述第二定律如下。&lt;br /&gt;
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::Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&amp;lt;ref name=&amp;quot;Planck 100&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 100.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Planck 463&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 463, translation by Uffink, J. (2003), p. 131.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roberts &amp;amp; Miller 382&amp;quot;&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 382. This source is partly verbatim from Planck's statement, but does not cite Planck. This source calls the statement the principle of the increase of entropy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&lt;br /&gt;
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自然界中发生的任一过程都是沿参与其中的所有物体的熵之和增加的方向进行的。在极限情况中，即对于可逆过程，熵的总和保持不变。&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for ''irreversible phenomena''.&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for irreversible phenomena.&lt;br /&gt;
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与普朗克表述非常相似的是'''&amp;lt;font color = '#ff8000'&amp;gt;乌伦贝克 Uhlenbeck&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;福特 Ford&amp;lt;/font&amp;gt;'''关于不可逆现象的表述。&lt;br /&gt;
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::... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&amp;lt;ref&amp;gt;[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963), p. 16.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&lt;br /&gt;
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……在从一个平衡态到另一个平衡态的不可逆或自发的变化中（例如，当两个物体 A 和 B 接触时的温度平衡过程），熵总是增加。&lt;br /&gt;
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===Principle of Carathéodory 卡拉西奥多里原理===&lt;br /&gt;
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&amp;lt;!-- Caratheodory's principle redirects here --&amp;gt;&lt;br /&gt;
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—— caratheodory 的原理在这里重新定向——&lt;br /&gt;
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[[Constantin Carathéodory]] formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&amp;lt;ref&amp;gt;[[Constantin Carathéodory|Carathéodory, C.]] (1909).&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Constantin Carathéodory formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;康斯坦丁·卡拉西奥多里 Constantin Carathéodory&amp;lt;/font&amp;gt;'''在纯数学公理的基础上进行了热力学'''&amp;lt;font color = '#ff8000'&amp;gt;公理化formulated&amp;lt;/font&amp;gt;'''阐明。他对第二定律的陈述被称为'''&amp;lt;font color = '#ff8000'&amp;gt;卡拉西奥多里原理 Principle of Carathéodory&amp;lt;/font&amp;gt;'''，可以这样表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 68.&amp;lt;/ref&amp;gt;&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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在绝热封闭系统的任意状态 S 附近，总有从 S 出发不可达的状态。&lt;br /&gt;
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With this formulation, he described the concept of [[adiabatic accessibility]] for the first time and provided the foundation for a new subfield of classical thermodynamics, often called [[Ruppeiner geometry|geometrical thermodynamics]]. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic [[process function]], in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;Sychev1991&amp;quot;&amp;gt;{{cite book |last=Sychev |first=V. V. |title=The Differential Equations of Thermodynamics |year=1991 |publisher=Taylor &amp;amp; Francis |isbn=978-1-56032-121-7}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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With this formulation, he described the concept of adiabatic accessibility for the first time and provided the foundation for a new subfield of classical thermodynamics, often called geometrical thermodynamics. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic process function, in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;. &lt;br /&gt;
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通过这个阐明，他首次描述了'''&amp;lt;font color = '#ff8000'&amp;gt;绝热可达性 Adiabatic Accessibility&amp;lt;/font&amp;gt;'''的概念，并为经典热力学的一个新的子领域，即通常所说的'''&amp;lt;font color = '#ff8000'&amp;gt;几何热力学  Geometrical Thermodynamics&amp;lt;/font&amp;gt;'''&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;奠定了基础&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;。由卡拉西奥多里原理可以推出，作为热的能量的准静态转移是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数holonomic process function&amp;lt;/font&amp;gt;'''即&amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）准静态转移的热量值是一个可积过程函数 存疑&lt;br /&gt;
 --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）本句的修改供讨论。可积函数的英文应该是Integrable function。但是什么是完整的函数存疑，是连续的函数？&lt;br /&gt;
 --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）这里建议标注一下'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数 holonomic process function&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）奠定了基础为何要删????????????????????????????????????????&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;&amp;gt;Münster, A. (1970), p. 45.&amp;lt;/ref&amp;gt;{{sfnp|Lieb|Yngvason|1999|p=49}}&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 69.&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium. &lt;br /&gt;
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尽管在教科书几乎惯称卡拉西奥多里原理也是第二定律的一种表述，并认为其与克劳修斯表述或开尔文-普朗克表述等价，但事实并非如此。为了得到第二定律的所有内容，需要对卡拉西奥多里原理补充普朗克表述，即等量功总是增加一个最初处于自身内部热力学平衡的封闭系统的内部能量。&lt;br /&gt;
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===Planck's principle 普朗克原理===&lt;br /&gt;
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In 1926, [[Max Planck]] wrote an important paper on the basics of thermodynamics.&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Uffink, J. (2003), pp. 129–132.&amp;lt;/ref&amp;gt; He indicated the principle&lt;br /&gt;
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In 1926, Max Planck wrote an important paper on the basics of thermodynamics. He indicated the principle&lt;br /&gt;
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1926年，'''&amp;lt;font color = '#ff8000'&amp;gt;马克斯·普朗克 Max Planck&amp;lt;/font&amp;gt;'''写了一篇关于热力学基础的重要论文。他指出了以下原理&lt;br /&gt;
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::The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt;{{sfnp |Lieb|Yngvason|1999|p=49}}&lt;br /&gt;
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The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&lt;br /&gt;
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一个封闭系统的内部能量因绝热过程增加，在整个过程中，系统的体积保持不变。&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot;&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]], Muncaster, R.G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 15.&amp;lt;/ref&amp;gt; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 81.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 457, Wikipedia editor's translation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&lt;br /&gt;
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这个公式没有提到热，没有提到温度，甚至没有提到熵，也不一定隐含地依赖于这些概念，但它暗示了第二定律的内容。一个密切相关的表述为，“摩擦力从来不做正功。”普朗克写道: “摩擦生热是不可逆的。”&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 149.&amp;lt;/ref&amp;gt; It is relevant that for a system at constant volume and [[Mole (unit)|mole numbers]], the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above. It is relevant that for a system at constant volume and mole numbers, the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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这个普朗克定理没有提到熵，是用物理术语来表述的。它与上面给出的开尔文表述密切相关。相关的是，对于恒定体积和摩尔数的系统，熵是内能的单调函数。然而，普朗克的这个原理实际上并不是普朗克对第二定律的首选表述（见前面小节），而是依赖于熵的概念。&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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Borgnakke 和 Sonntag 提出的以下表述在某种意义上是对普朗克原理的补充。他们没有将其作为第二定律的完整表述:&lt;br /&gt;
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::... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&amp;lt;ref&amp;gt;Borgnakke, C., Sonntag., R.E. (2009), p. 304.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&lt;br /&gt;
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……只有一种方法可以减少（封闭）系统的熵，将热从系统中转移出去。&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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与普朗克之前提出的原理不同，这一原理明确地用熵的变化来表示。从系统中去除物质也可以减少系统的熵。&lt;br /&gt;
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===Statement for a system that has a known expression of its internal energy as a function of its extensive state variables 一个其内能有已知表达式（其扩展状态变量的函数）的系统的表述===&lt;br /&gt;
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The second law has been shown to be equivalent to the [[internal energy]] ''U'' being a weakly [[convex function]], when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;ref&amp;gt;{{cite book |last1=van Gool |first1=W. |last2=Bruggink |first2=J.J.C. (Eds) |url= |title=Energy and time in the economic and physical sciences |publisher=North-Holland |year=1985 |pages=41–56 |quote= |isbn=978-0-444-87748-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Grubbström | first1 = Robert W. | doi = 10.1016/j.apenergy.2007.01.003 | title = An Attempt to Introduce Dynamics Into Generalised Exergy Considerations| journal = Applied Energy| volume = 84| issue = 7–8 | pages = 701–718 | year = 2007}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...). &lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;写成广泛性质（质量，体积，熵……）的函数时，第二定律被证明等价于弱凸函数内能 U。The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Corollaries 推论==&lt;br /&gt;
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===Perpetual motion of the second kind 第二类永动机===&lt;br /&gt;
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{{main article|Perpetual motion}}&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of [[first law of thermodynamics]] by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of first law of thermodynamics by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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在第二定律建立之前，许多志在发明永动机的人试图通过提取环境的巨大内能作为机器动力，以突破'''热力学第一定律 First Law of Thermodynamics''' 的限制。这种机器被称为“'''第二类永动机 Perpetual Motion Machine of the Second Kind'''”。热力学第二定律表明这种机器是不可能的。&lt;br /&gt;
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===Carnot theorem 卡诺定理===&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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Carnot's theorem (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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'''卡诺定理 Carnot's Theorem'''（1824）是一条限制任何可能的热机的最大效率的原理。效率完全取决于热源中热和冷之间的温差。 卡诺定理指出:&lt;br /&gt;
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*All irreversible heat engines between two heat reservoirs are less efficient than a [[Carnot engine]] operating between the same reservoirs.&lt;br /&gt;
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*All reversible heat engines between two heat reservoirs are equally efficient with a Carnot engine operating between the same reservoirs.&lt;br /&gt;
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* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;不可逆热机的效率低于在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机 Carnot Engine&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;可逆热机的效率与在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的卡诺机相等。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）改成同一个正确吗??????????????????????????&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as [[thermodynamic reversibility]]. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the [[Carnot cycle]]'s reversibility and was condemned to be less efficient.&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as thermodynamic reversibility. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the Carnot cycle's reversibility and was condemned to be less efficient.&lt;br /&gt;
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在他的理想模型中，热转化为功的过程可以通过逆转循环的运动而恢复，这个概念后来被称为'''&amp;lt;font color = '#ff8000'&amp;gt;热力学可逆性 Thermodynamic Reversibility&amp;lt;/font&amp;gt;'''。然而，卡诺进一步假定，一些热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;损失了，并没有转化为机械功。因此，没有一个真实的热机能够实现'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺循环 Carnot Cycle&amp;lt;/font&amp;gt;'''的可逆性，并且被认为效率较低。&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete [[caloric theory]]), rather than [[entropy]], this was an early insight into the second law.&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete caloric theory), rather than entropy, this was an early insight into the second law.&lt;br /&gt;
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该理论尽管是用热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;表述的（见被取代的'''&amp;lt;font color = '#ff8000'&amp;gt;热质说&amp;lt;/font&amp;gt;'''），而不是熵，但是它是对第二定律的早期认识。&lt;br /&gt;
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===Clausius inequality 克劳修斯不等式===&lt;br /&gt;
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The [[Clausius theorem]] (1854) states that in a cyclic process&lt;br /&gt;
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The Clausius theorem (1854) states that in a cyclic process&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;克劳修斯定理 Clausius Theorem&amp;lt;/font&amp;gt;'''（1854）指出，在一个循环的过程中&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T} \leq 0.&amp;lt;/math&amp;gt;&lt;br /&gt;
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The equality holds in the reversible case&amp;lt;ref&amp;gt;[http://scienceworld.wolfram.com/physics/ClausiusTheorem.html ''Clausius theorem''] at [[Wolfram Research]]&amp;lt;/ref&amp;gt; and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function [[entropy]]. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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The equality holds in the reversible case and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function entropy. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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等号在可逆情况下成立，严格不等号在不可逆情况下成立。可逆情况下引入状态函数熵。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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  --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）末句存疑&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我也没看懂，按照字面意思修改了一下&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）感觉修改后的句子还是怪怪的，这里标成疑难句吧 '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
===Thermodynamic temperature 热力学温度===&lt;br /&gt;
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{{main article|Thermodynamic temperature}}&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
&lt;br /&gt;
For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
&lt;br /&gt;
对于任意热机，效率为:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\eta = \frac {W_n}{q_H} = \frac{q_H-q_C}{q_H} = 1 - \frac{q_C}{q_H} \qquad (1)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; is for the net work done per cycle. Thus the efficiency depends only on q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
其中 ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; 表示每个循环所做的净功。因此效率只取决于 q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;。&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
&lt;br /&gt;
Carnot's theorem states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
&lt;br /&gt;
卡诺定理指出，所有在相同热源间运行的可逆热机的效率是相同的。&lt;br /&gt;
&lt;br /&gt;
Thus, any reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
&lt;br /&gt;
Thus, any reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
&lt;br /&gt;
因此，任何在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;和''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间运行的可逆热机必须具有相同的效率，也就是说，效率只是温度的函数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\frac{q_C}{q_H} = f(T_H,T_C)\qquad (2).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In addition, a reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In addition, a reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; andT&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
&lt;br /&gt;
另外，在温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间工作的可逆热机必须具有与由分别在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和（中间）温度 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间、在 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间的两个循环组成的系统效率相同。只有下式成立才会出现这种情况:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_1,T_3) = \frac{q_3}{q_1} = \frac{q_2 q_3} {q_1 q_2} = f(T_1,T_2)f(T_2,T_3).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the [[triple point]] of water. Then for any ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the triple point of water. Then for any T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
现在考虑如下情形，&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; 是一个固定的参考温度: 水的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''&amp;lt;font color = '#ff8000'&amp;gt;三相点 Triple Point&amp;lt;/font&amp;gt;'''&amp;lt;/font&amp;gt;的温度。则对于任意 T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{f(T_1,T_3)}{f(T_1,T_2)} = \frac{273.16 \cdot f(T_1,T_3)}{273.16 \cdot f(T_1,T_2)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
因此，如果热力学温度被定义为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;T = 273.16 \cdot f(T_1,T) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
then the function ''f'', viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
then the function f, viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
那么函数 ''f'' 作为热力学温度的函数，为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{T_3}{T_2},&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
and the reference temperature ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used{{snd}}the choice here corresponds to the [[Kelvin]] scale.)&lt;br /&gt;
&lt;br /&gt;
and the reference temperature T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used the choice here corresponds to the Kelvin scale.)&lt;br /&gt;
&lt;br /&gt;
参考温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 的值为273.16。（任何参考温度和任何正值均可用——此处的选择对应开尔文标度。）&lt;br /&gt;
&lt;br /&gt;
===Entropy 熵===&lt;br /&gt;
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{{main article|Entropy (classical thermodynamics)}}&lt;br /&gt;
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According to the [[Clausius theorem|Clausius equality]], for a reversible process&lt;br /&gt;
&lt;br /&gt;
According to the Clausius equality, for a reversible process&lt;br /&gt;
&lt;br /&gt;
根据克劳修斯等式，对可逆过程有&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
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That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
这意味着线积分 &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; 对于可逆过程是路径无关的。&lt;br /&gt;
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So we can define a state function S called entropy, which for a reversible process or for pure heat transfer&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot; /&amp;gt; satisfies&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer satisfies&lt;br /&gt;
&lt;br /&gt;
所以我们可以定义一个叫做熵的状态函数 S，对于可逆过程或者纯热传递满足&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \frac{\delta Q}{T} \!&amp;lt;/math&amp;gt;&lt;br /&gt;
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With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the [[third law of thermodynamics]], which states that ''S'' = 0 at [[absolute zero]] for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the third law of thermodynamics, which states that S = 0 at absolute zero for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
据此，只有对上述公式进行积分，才能得到熵的差值。为了获得绝对值，我们需要&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第三定律 Third Law of Thermodynamics'''&amp;lt;/font&amp;gt;，它指出&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝对零度 Absolute Zero'''&amp;lt;/font&amp;gt;下完美晶体的 ''S'' = 0。&lt;br /&gt;
&lt;br /&gt;
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For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
对于任意不可逆过程，由于熵是一个状态函数，我们总是可以将初始状态和最终状态与一个虚拟的可逆过程联系起来，并在这条路径上积分以计算熵的差值。&lt;br /&gt;
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Now reverse the reversible process and combine it with the said irreversible process. Applying the [[Clausius inequality]] on this loop,&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the Clausius inequality on this loop,&lt;br /&gt;
&lt;br /&gt;
现在把可逆过程逆过来，将其与上述不可逆过程结合。把克劳修斯不等式应用到这个循环,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;-\Delta S+\int\frac{\delta Q}{T}=\oint\frac{\delta Q}{T}&amp;lt; 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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Thus,&lt;br /&gt;
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Thus,&lt;br /&gt;
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故,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta S \ge \int \frac{\delta Q}{T} \,\!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
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where the equality holds if the transformation is reversible.&lt;br /&gt;
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如果变换可逆，等号成立。&lt;br /&gt;
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Notice that if the process is an [[adiabatic process]], then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an adiabatic process, then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
注意，若该过程是一个&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝热过程 Adiabatic Process'''&amp;lt;/font&amp;gt;，则&amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;，故&amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;。&lt;br /&gt;
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===Energy, available useful work===&lt;br /&gt;
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===Energy, available useful work===&lt;br /&gt;
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能量，可用的有用工作&lt;br /&gt;
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{{See also|Exergy}}&lt;br /&gt;
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An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an ''unlimited'' heat reservoir at temperature ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' and pressure ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' {{snd}}so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an unlimited heat reservoir at temperature T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; and pressure P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
考虑将第二定律应用于孤立系统(称为整体系统或宇宙)是一个重要而具有启发性的理想情形。该系统由两部分组成：研究关心的子系统和子系统的周围环境。因为想象的环境非常大，以至于它们可以被视为一个温度为 T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 且压力为 P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 的无限热源，因此无论有多少热被转移到（或来自）子系统，周围的温度将保持T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;；无论子系统的体积膨胀（或收缩）有多大，周围环境的压力都将保持不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Whatever changes to ''dS'' and ''dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy ''S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;'' of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
Whatever changes to dS and dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt; of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
无论子系统和周围环境单独地发生什么熵的变化 ''dS''和dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;&amp;lt;/font&amp;gt;，根据第二定律，孤立总体系统的熵S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;不能减小。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
According to the [[first law of thermodynamics]], the change ''dU'' in the internal energy of the sub-system is the sum of the heat ''δq'' added to the sub-system, ''less'' any work ''δw'' done ''by'' the sub-system, ''plus'' any net chemical energy entering the sub-system ''d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;'', so that:&lt;br /&gt;
&lt;br /&gt;
According to the first law of thermodynamics, the change dU in the internal energy of the sub-system is the sum of the heat δq added to the sub-system, less any work δw done by the sub-system, plus any net chemical energy entering the sub-system d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, so that:&lt;br /&gt;
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根据热力学第一定律，子系统内能的变化 dU 是加在子系统上的热δq的和&amp;lt;font color = 'blue'&amp;gt;&amp;lt;/font&amp;gt;，减去子系统所做的任何功w，再加上进入子系统的任何净化学能 d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;，因此&lt;br /&gt;
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: &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
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where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the [[chemical potential]]s of chemical species in the external surroundings.&lt;br /&gt;
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where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the chemical potentials of chemical species in the external surroundings.&lt;br /&gt;
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其中μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;是外部环境中'''&amp;lt;font color = '#ff8000'&amp;gt;化学形态 chemical species&amp;lt;/font&amp;gt;'''的化学势。&lt;br /&gt;
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Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
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Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
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现在热量离开热源进入子系统是&lt;br /&gt;
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: &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
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数学△ qtr (- dS r) le tr dS / math&lt;br /&gt;
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where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
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where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
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在这个过程中，首先使用了经典热力学中熵的定义(在统计热力学中，熵变、温度和吸收热量之间的关系'''&amp;lt;font color = '#32CD32'&amp;gt;可以将其推导出来 can be derived&amp;lt;/font&amp;gt;''') ，然后从上面的公式可以推导出第二定律的不等式。&lt;br /&gt;
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It therefore follows that any net work ''δw'' done by the sub-system must obey&lt;br /&gt;
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It therefore follows that any net work δw done by the sub-system must obey&lt;br /&gt;
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因此，子系统所做的任何净功δw必须服从&lt;br /&gt;
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: &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
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数学增量 w  le-dU + tds + sum  mu { iR } dN i，/ math&lt;br /&gt;
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It is useful to separate the work ''δw'' done by the subsystem into the ''useful'' work ''δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt;'' that can be done ''by'' the sub-system, over and beyond the work ''p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV'' done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
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It is useful to separate the work δw done by the subsystem into the useful work δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; that can be done by the sub-system, over and beyond the work p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
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将子系统所做的功δw划分为子系统可以完成的有用功δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; ，除了子系统在周围外部压力下膨胀所做的功p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV外，给出以下可用功（'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''）关系式:&lt;br /&gt;
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: &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the ''availability'' or ''[[exergy]]'' ''E'' of the subsystem,&lt;br /&gt;
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It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the availability or exergy E of the subsystem,&lt;br /&gt;
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为方便起见，可以把右边定义为热力学势的精确导数，称为子系统的'''&amp;lt;font color = 'ff8000'&amp;gt;可用性 Availability &amp;lt;/font&amp;gt;'''或'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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: &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
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The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
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The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
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&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;因此，第二定律意味着，对于任何可以简单地被视为分为一个子系统和一个与之接触的无限温度和压力&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;储存器&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt; '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;热源 Reservoir&amp;lt;/font&amp;gt;''' 的过程，The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&amp;lt;/font&amp;gt;&lt;br /&gt;
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: &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
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i.e. the change in the subsystem's exergy plus the useful work done ''by'' the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done ''on'' the system) must be less than or equal to zero.&lt;br /&gt;
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i.e. the change in the subsystem's exergy plus the useful work done by the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done on the system) must be less than or equal to zero.&lt;br /&gt;
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也就是。子系统有用能的变化加上子系统所做的有用功(或者，子系统有用能的变化减去除了'''&amp;lt;font color = '#ff8000'&amp;gt;压力热源&amp;lt;/font&amp;gt;'''外任何对系统做的功&amp;lt;/font&amp;gt;)必须小于或等于零。&lt;br /&gt;
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In sum, if a proper ''infinite-reservoir-like'' reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in ''E'' for an irreversible process and no change for a reversible process.&lt;br /&gt;
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In sum, if a proper infinite-reservoir-like reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in E for an irreversible process and no change for a reversible process.&lt;br /&gt;
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总之，如果选择一个合适的类似于无限库的参考状态作为现实世界中的系统环境，&lt;br /&gt;
则第二定律预测不可逆过程的''E''值减少，可逆过程的''E''值不变。&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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This expression together with the associated reference state permits a [[design engineer]] working at the macroscopic scale (above the [[thermodynamic limit]]) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (''Also, see [[process engineer]]''). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (''See [[Exergy efficiency|second law efficiency]]''.)&lt;br /&gt;
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This expression together with the associated reference state permits a design engineer working at the macroscopic scale (above the thermodynamic limit) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (Also, see process engineer). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (See second law efficiency.)&lt;br /&gt;
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这个表达式和相关的参考状态允许设计工程师在宏观尺度（高于热力学极限）下使用第二定律，而无需直接测量或考虑整个孤立系统中的熵变。（另见'''&amp;lt;font color = '#ff8000'&amp;gt;工艺工程师process engineer&amp;lt;/font&amp;gt;'''）。这些变化已经在假设中被考虑到，该假设认为所考虑的系统可以在不改变参考状态的情况下与参考状态达到平衡。将其与可逆理想&amp;lt;font color = 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;进行比较，还可以找到一个过程或过程集合的效率（见'''&amp;lt;font color = '#ff8000'&amp;gt;第二定律效率second law efficiency&amp;lt;/font&amp;gt;'''）&lt;br /&gt;
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This approach to the Second Law is widely utilized in [[engineering]] practice, [[environmental accounting]], [[systems ecology]], and other disciplines.&lt;br /&gt;
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This approach to the Second Law is widely utilized in engineering practice, environmental accounting, systems ecology, and other disciplines.&lt;br /&gt;
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第二定律的这种方法被广泛应用于'''&amp;lt;font color = '#ff8000'&amp;gt;工程实践engineering practice&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;环境会计environmental accounting&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;系统生态学systems ecology&amp;lt;/font&amp;gt;'''等其他学科。&lt;br /&gt;
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===The second law in chemical thermodynamics===&lt;br /&gt;
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化学热力学的第二定律&lt;br /&gt;
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For a [[spontaneous process|spontaneous chemical process]] in a closed system at constant temperature and pressure without non-''PV'' work, the Clausius inequality Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;'' transforms into a condition for the change in [[Gibbs free energy]] &lt;br /&gt;
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For a spontaneous chemical process in a closed system at constant temperature and pressure without non-PV work, the Clausius inequality ΔS &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt; transforms into a condition for the change in Gibbs free energy &lt;br /&gt;
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对于一个&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;封闭系统中的自发化学过程，在没有 non-PV 功的情况下，克劳修斯不等式Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;''由于'''&amp;lt;font color = '#ff8000'&amp;gt;吉布斯自由能Gibbs free energy&amp;lt;/font&amp;gt;'''的变化而转化为：&amp;lt;/font&amp;gt;&lt;br /&gt;
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: &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
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or d''G'' &amp;lt; 0. For a similar process at constant temperature and volume, the change in [[Helmholtz free energy]] must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;/&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; The chemical equilibrium condition at constant ''T'' and ''p'' without electrical work is d''G'' = 0.&lt;br /&gt;
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or dG &amp;lt; 0. For a similar process at constant temperature and volume, the change in Helmholtz free energy must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products. The chemical equilibrium condition at constant T and p without electrical work is dG = 0.&lt;br /&gt;
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或者 dG &amp;lt; 0。对于一个相似的&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;过程，'''&amp;lt;font color = '#ff8000'&amp;gt;亥姆霍兹自由能 Helmholtz free energy &amp;lt;/font&amp;gt;'''的变化一定是负的， &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;。因此，一个负的自由能(G 或 A)变化是过程自发的必要条件。这是热力学第二定律在化学中最有用的形式，其中自由能的变化可以通过'''&amp;lt;font color = '#ff8000'&amp;gt;表列生成焓 Tabulated Enthalpies of Formation&amp;lt;/font&amp;gt;'''和反应物及产物的标准摩尔熵来计算。在温度和压力&amp;lt;/font&amp;gt;不变的情况下，化学平衡条件是 dG = 0。&lt;br /&gt;
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  -- [[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） tabulated enthalpies of formation 表列生成焓？？&lt;br /&gt;
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==History==&lt;br /&gt;
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历史&lt;br /&gt;
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{{See also|History of entropy}}&lt;br /&gt;
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[[File:Sadi Carnot.jpeg|thumb|upright|Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique]].]]&lt;br /&gt;
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Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique.]]&lt;br /&gt;
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尼古拉·莱昂纳尔·萨迪·卡诺穿着传统的巴黎综合理工学院制服&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to [[Nicolas Léonard Sadi Carnot]] in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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The first theory of the conversion of heat into mechanical work is due to Nicolas Léonard Sadi Carnot in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
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卡诺在1824年提出热转化为机械功的第一个理论。他是第一个正确认识到了转换效率取决于发动机和环境之间的温差的人。&lt;br /&gt;
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Recognizing the significance of [[James Prescott Joule]]'s work on the conservation of energy, [[Rudolf Clausius]] was the first to formulate the second law during 1850, in this form: heat does not flow ''spontaneously'' from cold to hot bodies. While common knowledge now, this was contrary to the [[caloric theory]] of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
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Recognizing the significance of James Prescott Joule's work on the conservation of energy, Rudolf Clausius was the first to formulate the second law during 1850, in this form: heat does not flow spontaneously from cold to hot bodies. While common knowledge now, this was contrary to the caloric theory of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''认识到'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;焦耳James Prescott Joule&amp;lt;/font&amp;gt;'''在能量守恒方面工作的重要性后，在1850年提出了第二定律的第一个公式，在这个公式中: 热不会自发地从冷物体流向热物体。虽然现在这是常识，但是这与当时流行的热理论相反，当时的热理论认为热是一种流体。从这些他推断出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 萨迪卡诺定律the principle of Sadi Carnot&amp;lt;/font&amp;gt;'''和熵的定义(1865年)。&lt;br /&gt;
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Established during the 19th century, the [[Kelvin-Planck statement|Kelvin-Planck statement of the Second Law]] says, &amp;quot;It is impossible for any device that operates on a [[cyclic process|cycle]] to receive heat from a single [[heat reservoir|reservoir]] and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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Established during the 19th century, the Kelvin-Planck statement of the Second Law says, &amp;quot;It is impossible for any device that operates on a cycle to receive heat from a single reservoir and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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19世纪提出的开尔文-普朗克第二陈述(Kelvin-Planck)表示：“任何循环运行的设备都不可能从单个热源接收热并产生净功。”这被证明与克劳修斯的陈述等价。&lt;br /&gt;
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The [[ergodic hypothesis]] is also important for the [[Boltzmann]] approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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The ergodic hypothesis is also important for the Boltzmann approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;遍历假设ergodic hypothesis&amp;lt;/font&amp;gt;'''对'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼方法Boltzmann approach&amp;lt;/font&amp;gt;'''也很重要。遍历假设认为在很长一段时间内，在具有相同能量的微观态相空间的某些区域所花费的时间与这个区域的体积成正比，即在很长一段时间内，所有可访问的微观状态出现/成立的可能性都是一样的。等价于说，&amp;lt;/font&amp;gt;它表明时间平均值和统计集合的平均值是相同的。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 觉得加上出现/成立好一点？&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a [[Macroscopic bodies|macroscopic system]]. This doctrine is obsolescent.&amp;lt;ref&amp;gt;Denbigh, K.G., Denbigh, J.S. (1985). ''Entropy in Relation to Incomplete Knowledge'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-25677-1}}, pp. 43–44.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Grandy, W.T., Jr (2008). ''Entropy and the Time Evolution of Macroscopic Systems'', Oxford University Press, Oxford, {{ISBN|978-0-19-954617-6}}, pp. 55–58.&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lambert&amp;gt;[http://entropysite.oxy.edu Entropy Sites — A Guide] Content selected by [[Frank L. Lambert]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a macroscopic system. This doctrine is obsolescent.&lt;br /&gt;
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克劳修斯还提出了一种传统的学说，他认为熵可以被理解为宏观系统中的'''&amp;lt;font color = '#ff8000'&amp;gt;分子“无序”molecular 'disorder'&amp;lt;/font&amp;gt;'''，但这种学说已经过时了。&lt;br /&gt;
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===Account given by Clausius===&lt;br /&gt;
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作者: 克劳修斯&lt;br /&gt;
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[[File:Clausius-1.jpg|thumb|upright|Rudolf Clausius]]&lt;br /&gt;
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Rudolf Clausius&lt;br /&gt;
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鲁道夫 · 克劳修斯&lt;br /&gt;
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In 1856, the German physicist [[Rudolf Clausius]] stated what he called the &amp;quot;second fundamental theorem in the [[mechanical theory of heat]]&amp;quot; in the following form:{{sfnp|Clausius|1867}}&lt;br /&gt;
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In 1856, the German physicist Rudolf Clausius stated what he called the &amp;quot;second fundamental theorem in the mechanical theory of heat&amp;quot; in the following form:&lt;br /&gt;
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1856年，德国物理学家'''&amp;lt;font color = '#ff8000'&amp;gt;鲁道夫 • 克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''阐述了他所谓的“热力学理论中的第二个基本定理second fundamental theorem in the mechanical theory of heat” ，其形式如下:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''Q'' is heat, ''T'' is temperature and ''N'' is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
&lt;br /&gt;
where Q is heat, T is temperature and N is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
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其中 Q 是热，T 是温度，N 是一个循环过程中所有非补偿的相变的“等价值”。后来在1865年，克劳修斯将“等价值”定义为熵。基于这个理论，同一年，第二定律最著名的版本在4月24日苏黎世哲学学会的一次演讲中被提出，在演讲的最后克劳修斯总结道:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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宇宙的熵趋于最大&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. [[universe]], as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. universe, as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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这句话是第二定律最著名的陈述。由于其语言松散模糊，如“宇宙universe”，和缺乏具体的条件，如“开放open”，“封闭closed”，或“孤立isolated”，许多人认为这一简单的陈述意味着热力学第二定律几乎适用于每一个可以想象的主题。这不是真的；这句话只是一个更广泛和更精确的描述的简化版本。&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an [[isolated system]] undergoing an arbitrary transformation is:&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an isolated system undergoing an arbitrary transformation is:&lt;br /&gt;
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就时间变化而言，&amp;lt;font color = 'blue'&amp;gt;一个&amp;lt;/font&amp;gt;经历任意变换的孤立系统&amp;lt;font color = 'blue'&amp;gt;的&amp;lt;/font&amp;gt;第二定律的数学表述是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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where&lt;br /&gt;
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where&lt;br /&gt;
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这里''S'' 是系统的熵&lt;br /&gt;
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: ''S'' is the entropy of the system and&lt;br /&gt;
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 S is the entropy of the system and&lt;br /&gt;
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: ''t'' is [[time]].&lt;br /&gt;
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 t is time.&lt;br /&gt;
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T是时间&lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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!-- 可逆过程需要与周围环境保持平衡。这对于一个孤立的系统是不可能的。因此，关于可逆过程的讨论已经转移到对封闭系统的分析----&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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平衡后用等号。另一种表述孤立系统第二定律的方法是：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of [[entropy production]] by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of entropy production by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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用&amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt;表示系统内所有进程'''&amp;lt;font color = '#ff8000'&amp;gt;熵产生Entropy Production&amp;lt;/font&amp;gt;'''的速率之和。这个公式的优点是它显示了熵产生的效果。熵产生率是一个非常重要的概念，因为它决定（或限制）热机的效率。乘以环境温度&amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt;，它给出所谓的耗散能&amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;。&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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封闭系统的第二定律(允许热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;交换和移动边界，但不允许物质交换)的表达式是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here&lt;br /&gt;
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Here&lt;br /&gt;
这里&lt;br /&gt;
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: &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; 是进入系统的热流。&lt;br /&gt;
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: &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
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 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; 是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;进入系统时的温度。&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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只有在系统内发生可逆过程的情况下等号才成立&amp;lt;/font&amp;gt;如果发生不可逆过程（在实际操作系统中就是这种情况）,则“＞”成立。如果系统有多处供热，必须求相应项的代数和。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 因为是中文环境所以统一用中文标点&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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对于开放系统(也允许物质交换) :&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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这里&amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; 是进入系统的熵流，与进入系统的物质流有关。它不应该与熵的时间导数混淆。如果物质在几个地方被供给，需要取这些贡献的代数和。&lt;br /&gt;
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==Statistical mechanics==&lt;br /&gt;
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统计力学&lt;br /&gt;
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[[Statistical mechanics]] gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a [[microstate (statistical mechanics)|microstate]] of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where ''N'' is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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Statistical mechanics gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a microstate of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where N is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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统计力学通过假设物质是由不断运动的原子和分子组成的，来对第二定律给出了解释。系统中每个粒子的一组特定的位置和速度称为系统的微观状态，由于系统的不断运动，系统不断地改变其微观状态。统计力学假设，在平衡状态下，系统处于&amp;lt;s&amp;gt;的&amp;lt;/s&amp;gt;每个微观状态的可能性是相等的。这个假设的提出直接导致第二定律必须子啊统计学意义上成立&amp;lt;/font&amp;gt;也就是说，第二定律在平均意义上成立，其中统计学变异取决于数量级1/{{radic|''N''}}，其中 N 是系统中粒子数&amp;lt;/font&amp;gt;。在日常(宏观)情况下，违反第二定律的概率几乎为零。然而，对于粒子数量很少的系统，热力学参数，包括熵，可能显示出与第二定律预测结果的显著的统计偏差。经典热力学理论不处理这些统计变量。&lt;br /&gt;
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（by Jie XIANG) 在通过假定一种物质由不断运动的原子和分子组成的前提下，统计力学对热力学第二定律进行了解释。系统中每个粒子其特定的位置和速度组成为系统的微观状态，由于（原子和分子的）不断运动，系统也持续改变其微观状态。统计力学假设，在系统力平衡的情况下，其微观状态其实是等可能发生的，进而能够得出结论：热力学第二定律必须在统计学意义上成立。也就是说，第二定律将保持均值不变， 其统计变化为1 /√N，N为系统中的粒子数。在日常(宏观)情况下，违反热力学第二定律的概率几乎为零，但是，对于粒子数量非常少的系统，其热力学参数（包括熵）可能会显示出与第二定律所预测的明显统计偏差。然而经典热力学理论并不处理这些统计变量。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 为什么会有两个？迷茫。&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）是不是两个译者翻译的？如果第二段翻译不用，可以括号或删除线标一下&lt;br /&gt;
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==Derivation from statistical mechanics==&lt;br /&gt;
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从统计力学导出&lt;br /&gt;
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{{Further information|H-theorem}}&lt;br /&gt;
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The first mechanical argument of the [[Kinetic theory of gases]] that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to [[James Clerk Maxwell]] in 1860;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Gyenis | first1 = Balazs | doi = 10.1016/j.shpsb.2017.01.001 | title = Maxwell and the normal distribution: A colored story of probability, independence, and tendency towards equilibrium | journal = Studies in History and Philosophy of Modern Physics | volume = 57 | pages = 53–65 | year = 2017| arxiv = 1702.01411 | bibcode = 2017SHPMP..57...53G }}&amp;lt;/ref&amp;gt; [[Ludwig Boltzmann]] with his [[H-theorem]] of 1872 also argued that due to collisions gases should over time tend toward the [[Maxwell–Boltzmann distribution]].&lt;br /&gt;
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The first mechanical argument of the Kinetic theory of gases that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to James Clerk Maxwell in 1860; Ludwig Boltzmann with his H-theorem of 1872 also argued that due to collisions gases should over time tend toward the Maxwell–Boltzmann distribution.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;气体动力学Kinetic theory of gases&amp;lt;/font&amp;gt;'''理论的第一个力学论证由'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦James Clerk Maxwell&amp;lt;/font&amp;gt;'''在1860年给出，指出分子碰撞引起温度均衡化，因此整体趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;平衡 Equilibrium &amp;lt;/font&amp;gt;'''； '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼Ludwig Boltzmann&amp;lt;/font&amp;gt;'''在1872年提出的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; H 定理H-theorem&amp;lt;/font&amp;gt;'''也认为，气体由于碰撞应该随着时间的推移趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦-波兹曼分布Maxwell–Boltzmann distribution&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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Due to [[Loschmidt's paradox]], derivations of the Second Law have to make an assumption regarding the past, namely that the system is [[Correlation and dependence|uncorrelated]] at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a [[boundary condition]], and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the [[Big Bang]]), though [[Boltzmann brain|other scenarios]] have also been suggested.&amp;lt;ref name=&amp;quot;Hawking AOT&amp;quot;&amp;gt;{{cite journal|last=Hawking|first=SW|title=Arrow of time in cosmology|journal=Phys. Rev. D|year=1985|volume=32|issue=10|pages=2489–2495|doi=10.1103/PhysRevD.32.2489|pmid=9956019|bibcode = 1985PhRvD..32.2489H }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last = Greene | first = Brian | authorlink = Brian Greene | title = The Fabric of the Cosmos | url = https://archive.org/details/fabricofcosmossp00gree | url-access = registration | publisher = Alfred A. Knopf | year = 2004 | page = [https://archive.org/details/fabricofcosmossp00gree/page/171 171] | isbn = 978-0-375-41288-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lebowitz&amp;gt;{{cite journal|last=Lebowitz|first=Joel L.|title= Boltzmann's Entropy and Time's Arrow|journal=Physics Today|date=September 1993|volume=46|issue=9|pages=32–38|url=http://users.df.uba.ar/ariel/materias/FT3_2008_1C/papers_pdf/lebowitz_370.pdf|accessdate=2013-02-22|doi=10.1063/1.881363|bibcode = 1993PhT....46i..32L }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Due to Loschmidt's paradox, derivations of the Second Law have to make an assumption regarding the past, namely that the system is uncorrelated at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a boundary condition, and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the Big Bang), though other scenarios have also been suggested.&lt;br /&gt;
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由于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论Loschmidt's paradox&amp;lt;/font&amp;gt;'''，第二定律的导出必须对过去做出一个假设，即系统在过去的某个时刻是不相关的；这样的假设允许进行简单的概率处理。这个假设通常被认为是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边界条件boundary condition&amp;lt;/font&amp;gt;'''，因此热力学第二定律最终是过去某个地方的初始条件的结果，可能是在宇宙的开始('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;大爆炸 the Big Bang&amp;lt;/font&amp;gt;''') ，尽管也有人提出了其他场景。&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the [[Statistical mechanics#Fundamental postulate|fundamental postulate]], also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy.{{citation needed|date=August 2012}} The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the fundamental postulate, also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy. The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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基于这些假设，在统计力学中，第二定律不是一个假设，而是'''统计力学基本假设Statistical mechanics#Fundamental postulate|fundamental postulate'''的一个结果，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;等先验概率假设 equal prior probability postulate&amp;lt;/font&amp;gt;'''。这个基本假设表明，只要一个人清楚地知道，简单的概率论证只适用于未来，而对于过去，有辅助的信息来源告诉我们，它是低熵的。如果我们把熵的概念限制在热平衡系统中，那么热力学第二定律的第一部分即热孤立系统的熵只能增加，是等先验概率假设的一个显然结果。处于热平衡状态的孤立系统且具有能量&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;的熵表示为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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其中&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 是处于 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;E +\delta E&amp;lt;/math这个小区间内的量子态数目。这里的 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 是一个宏观上很小的固定能量区间。严格地说，这意味着熵取决于对&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;的选择。然而在热力学极限下（例如无穷大系统的极限），狭义的熵(单位体积或单位质量的熵)不依赖于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;。&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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假设我们有一个孤立系统，其宏观状态由许多变量指定。这些宏观变量可以是总体积、活塞在系统中的位置等。从而&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;将取决于这些变量的值。如果某个变量不是固定的（我们不会在某个位置夹住活塞) ，那么因为在平衡状态下到达所有可到达状态的可能性是相等的，平衡状态下的自由变量会使 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，因为这是平衡状态下最可能的情况。&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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如果该变量最初固定到某个值然后释放，当达到新的平衡时，变量将自我调整使得 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，这意味着熵将增加或保持不变（如果变量初始固定的值恰好是平衡值）。&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's [[H-theorem]], however, proves that the quantity {{math|''H''}} increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's H-theorem, however, proves that the quantity  increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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假设我们初始位于一个平衡状态，突然移除了对一个变量的约束。我们做完这件事的时候，可达到的微观状态的数为&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;，但是系统还没有达到平衡，所以系统处于某些可达到的状态的实际概率还不等于先验概率 &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;。我们已经知道，最终的平衡状态相对于之前的平衡状态，熵会增加或者保持不变。然而，玻耳兹曼的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;H定理H-theorem&amp;lt;/font&amp;gt;'''证明系统在不处于平衡态的期间，那个量作为时间的函数单调增加。&lt;br /&gt;
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===Derivation of the entropy change for reversible processes===&lt;br /&gt;
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可逆过程熵变的推导&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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热力学第二定律的第二部分指出，经历可逆过程的系统的熵变为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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其中温度定义为:&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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See [[Microcanonical ensemble|here]] for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the [[adiabatic theorem]] of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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See here for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the adiabatic theorem of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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请参阅'''此处Microcanonical ensemble|here'''查看该定义的正当性。假设系统有一些可以改变的外部参数 x。一般来说，系统的能量本征态将依赖于 x。根据量子力学的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;绝热定理adiabatic theorem&amp;lt;/font&amp;gt;'''，在系统哈密顿量无限缓慢变化的极限下，系统将保持在相同的'''&amp;lt;font color = '#ff8000'&amp;gt;能量本征态 energy eigenstate&amp;lt;/font&amp;gt;'''，因此系统的能量会随着其所在能量本征态的能量变化而变化。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能量本征态 不懂翻译是否正确&lt;br /&gt;
  --[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)我觉得是这样的--[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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对于外部变量 x 可以定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;广义力generalized force&amp;lt;/font&amp;gt;''' X ，因此如果 x 增加 dx，那么&amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; 就是系统所做的功。例如，如果 x 是体积，那么 X 就是压强。一个已知处于能量本征态&amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt;的系统的广义力为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
&lt;br /&gt;
Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
&lt;br /&gt;
由于系统可以在&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 区间内的任意能量本征态内，我们将系统的广义力定义为上述表达式的期望值:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
&lt;br /&gt;
To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
&lt;br /&gt;
为了计算平均值，我们按照能量本征态来划分&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt;，通过计算有多少能量本征态的&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;值在区间在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;之间。把这个数字叫做为 &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;，我们有:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The average defining the generalized force can now be written:&lt;br /&gt;
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The average defining the generalized force can now be written:&lt;br /&gt;
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根据平均值定义的广义力现在可以写成:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
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We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
&lt;br /&gt;
我们可以把它和由恒定能量 E 下的 x 导出来的熵联系起来。假定我们把 x 改变至 x + dx。然后因为能量本征态依赖于 x，  &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 将会改变，这导致能量本征态进入或超出&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; 之间的范围。让我们再次关注&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; 处于 &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt; 之间的能量本征态。由于这些能量本征态的能量增加了 Y dx，所有这些在 E-Y dx 到 E 之间能量本征态都从 E 以下移动到 E 以上。 因此有&lt;br /&gt;
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: &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
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such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
&lt;br /&gt;
这些的能量本征态。如果&amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;，则所有这些能量本征态将移动到 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;的范围内，使得&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增加。从&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上的能量本征态数目为 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;。它们的差&lt;br /&gt;
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: &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
因此是 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增长的净贡献。请注意如果 Y dx 大于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;，那么将会有能量本征态从 E 以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上。它们在&amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;中都有计数，因此上述表达式在这种情况下也是有效的。&lt;br /&gt;
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Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
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Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
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将上面的表达式表示为对 E 的导数，并且对 Y 求和得到表达式:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
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The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
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&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;的对数关于x的导数由以下方式给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
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The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
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第一项是集约型的，即它不能根据系统大小进行缩放。相反，最后一项跟随逆系统的大小而缩放，因此将在热力学极限中消失。因此我们发现:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Combining this with&lt;br /&gt;
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Combining this with&lt;br /&gt;
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将这个和下面式子结合&lt;br /&gt;
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: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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Gives:&lt;br /&gt;
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Gives:&lt;br /&gt;
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给出：&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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===Derivation for systems described by the canonical ensemble===&lt;br /&gt;
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正则系综系统的推导&lt;br /&gt;
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If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the [[canonical ensemble]]:&lt;br /&gt;
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If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the canonical ensemble:&lt;br /&gt;
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如果一个系统与某个温度为T的热浴热接触，那么在平衡状态下，关于能量本征值的概率分布值由'''&amp;lt;font color = '#ff8000'&amp;gt;正则系综canonical ensemble&amp;lt;/font&amp;gt;'''给出:&lt;br /&gt;
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: &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the [[Partition function (statistical mechanics)|partition function]]. We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the partition function. &amp;lt;font color = 'red'&amp;gt;We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. &amp;lt;/font&amp;gt;It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
这里 Z 是一个使所有概率之和归一化到 1 的因子，这个函数被称为'''&amp;lt;font color = '#ff8000'&amp;gt;配分函数Partition function (statistical mechanics)|partition function&amp;lt;/font&amp;gt;'''。现在我们考虑对温度和能级所依赖的外部参数的无限小的可逆改变。它遵循熵的一般公式:&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能级依赖温度吗？即“现在我们考虑……的可逆改变”当中，“on which the energy levels depend”修饰（1）in the external parameters，还是（2）in the temperature and in the external parameters&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）修饰in the external parameters&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
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that&lt;br /&gt;
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that&lt;br /&gt;
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以及&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
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Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
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把正则系综的数学形式 &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; 插入，可以得到:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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==Living organisms==&lt;br /&gt;
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生命体&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as [[What is Life?|Erwin Schrödinger]], [[Léon Brillouin]]&amp;lt;ref&amp;gt;Léon Brillouin [https://books.google.com/books?hl=en&amp;amp;lr=&amp;amp;id=tPXVbiw_1P0C ''Science and Information Theory''] (Academic Press, 1962) (Dover, 2004)&amp;lt;/ref&amp;gt; and [[Life and Energy|Isaac Asimov]]. It is also the topic of current{{When|date=July 2019}} research.{{Citation needed|date=July 2019}}&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as Erwin Schrödinger, Léon Brillouin and Isaac Asimov. It is also the topic of current research.&lt;br /&gt;
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表述热力学主要有两种方式：(a)描述从一种热力学平衡状态到另一种状态的路径，(b)通过系统保持不变但周围环境的总熵增加的循环过程。这两种方法有助于理解生命过程。这个话题大大超出了本文的范围，但是已经有一些研究者考虑过这个问题，比如'''&amp;lt;font color = '#ff8000'&amp;gt;薛定谔Erwin Schrödinger&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;布里渊Léon Brillouin&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;阿西莫夫Isaac Asimov&amp;lt;/font&amp;gt;'''。这也是当前研究的主题。&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of [[metabolism]], give out breakdown products and heat. Plants [[Photosynthesis|take in radiative energy]] from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of metabolism, give out breakdown products and heat. Plants take in radiative energy from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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从近似的角度来看，生命体可以被认为是(b)的一个例子。近似地，一只动物的身体状态每天循环，使得它几乎没有什么变化。动物吸收食物、水和氧气，经过'''&amp;lt;font color = '#ff8000'&amp;gt;新陈代谢metabolism&amp;lt;/font&amp;gt;'''，输出分解的产物和热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;。植物吸收来自太阳的辐射能量，这可以认为是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;，以及二氧化碳和水，然后它们释放氧气。它们就是这样生长的。&amp;lt;font color = 'blue'&amp;gt;它们&amp;lt;/font&amp;gt;最终会死亡，尸体腐烂，大部分重新变成二氧化碳和水。这可以看作是一个循环过程。总的来说，阳光来自一个高温的源——太阳，它的能量被传递到一个较低的温度源，即向太空辐射。这个过程使得植物周围环境的熵增加。因此从循环过程的角度来看，动物和植物服从热力学第二定律。简单的热机效率概念很难适用于这个问题，因为它们假定系统是封闭的。&lt;br /&gt;
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From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to [[Non-equilibrium thermodynamics|unsettled current debate or research]]. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to unsettled current debate or research. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
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从(a)的热力学观点考虑，即考虑从一个平衡状态到另一个平衡状态的路径，只会产生一个粗略近似的图像，因为生命体从来不会处于热力学平衡状态。生物体经常必须被认为是开放的系统，因为它们吸收营养物质并排出废弃物。开放系统热力学目前通常从一个热力学平衡状态到另一个状态的路径的角度来考虑，或者是考虑局部热力学平衡近似下的流。生命体的问题可以通过假定一个流不变的稳态的近似来进一步简化。对于这样的近似，目前有很多关于熵产生的一般原理的未解决的争论或研究。尽管如此，从热力学第二定律的这个角度出发衍生出来的想法对生物是有启发意义的。&lt;br /&gt;
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==Gravitational systems==&lt;br /&gt;
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== Gravitational systems 重力系统 ==&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive [[heat capacity]], meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;&amp;gt;Grandy, W.T. (Jr) (2008), p. 151.&amp;lt;/ref&amp;gt; Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive heat capacity, meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it. Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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在不需要对其广义相对论解释的系统中，物体始终具有正热容，这意味着温度随能量而升高。因此，当能量从高温物体流向低温物体时，发射源温度降低而冷源温度升高；因此，温差会随着时间的流逝而减小。对于引力很重要并且需要广义相对论的系统而言，情况并非总是如此。这样的系统可以自发地向质量和能量不均匀的分布转变。这适用于大规模的宇宙，因此可能很难或不可能对它应用第二定律。除此之外，广义相对论描述的系统的热力学超出了本文的范围。&lt;br /&gt;
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==Non-equilibrium states==&lt;br /&gt;
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== Non-equilibrium states 非平衡状态 ==&lt;br /&gt;
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The theory of classical or [[thermodynamic equilibrium|equilibrium thermodynamics]] is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Callen, H.B. (1960/1985), p. 15.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The theory of classical or equilibrium thermodynamics is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&lt;br /&gt;
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经典热力学或平衡热力学理论是理想化的。其主要假定或假设（通常甚至没有明确地陈述），是基于系统处在自身内部的热力学平衡状态。通常，在自然界可能发现的，在给定时间包含物理系统的空间区域，其热力学平衡状态并不是能用最严格的术语来表示。用较宽泛的术语来说，整个宇宙中没有任何东西是或曾经是真正处于精确的热力学平衡状态中。&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of [[thermodynamic equilibrium]]. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable [[thermal fluctuations|fluctuations]]. There is an exception, the case of [[critical point (thermodynamics)|critical states]], which exhibit to the naked eye the phenomenon of [[critical opalescence]]. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of thermodynamic equilibrium. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable fluctuations. There is an exception, the case of critical states, which exhibit to the naked eye the phenomenon of critical opalescence. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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为了进行物理分析，通常做一个热力学平衡的假设就足够方便可行。 这样的假设可能依赖于反复试验和试错来证明其合理性。如果假设是合理的，那么它通常会非常有价值，因为它使热力学理论成为可能。平衡假设的要素是，观察到的系统会无限期地保持不变，并且因为系统中有很多粒子，以至于完全可以忽略其微粒的本质。通常在这种平衡假设下，不存在一个宏观上可检测到的波动。临界状态是一个例外，肉眼可以观察到临界'''&amp;lt;font color = '#ff8000'&amp;gt;乳光现象opalescence&amp;lt;/font&amp;gt;'''。对于临界状态的实验室研究，需要非常长的观察时间。&lt;br /&gt;
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In all cases, the assumption of [[thermodynamic equilibrium]], once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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In all cases, the assumption of thermodynamic equilibrium, once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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在所有情况下，一旦做出了热力学平衡的假设，则作为一个结果意味着假定中的能改变系统熵的候选波动不存在。&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 190.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&lt;br /&gt;
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物理系统很容易发生内部宏观变化，其速度之快足以使熵的恒定性假设失效。或物理系统中的粒子太少，以至于微粒的本质在可观测的波动中显而易见。那么热力学平衡的假设就会被放弃。对于非平衡态，熵没有绝对的通俗定义。&lt;br /&gt;
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There are intermediate cases, in which the assumption of local [[thermodynamic equilibrium]] is a very good approximation,&amp;lt;ref&amp;gt;Gyarmati, I. (1967/1970), pp. 4-14.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Glansdorff, P., Prigogine, I. (1971).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003).&amp;lt;/ref&amp;gt; but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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There are intermediate cases, in which the assumption of local thermodynamic equilibrium is a very good approximation, but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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还有一些中间情况，其中局部热力学平衡的假设是一个非常好的近似，但严格地说它仍然是一个近似值，不是理论上的理想值。&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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对于一般的非平衡状态，考虑其他量的统计力学定义可能是有用的，这些量可以方便地称为“熵”，但是它们不应该与第二定律正确定义的熵混淆或合并。这些其他量确实属于统计力学，而不属于第二定律的主要领域——热力学。&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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宏观上可观察到的波动的物理学超出了本文的范围。&lt;br /&gt;
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==Arrow of time==&lt;br /&gt;
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== Arrow of time 时间之箭 ==&lt;br /&gt;
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时间之箭&lt;br /&gt;
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{{Further information|Entropy (arrow of time)}}Thermodynamic Asymmetry in Time&lt;br /&gt;
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Thermodynamic Asymmetry in Time&lt;br /&gt;
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时间中的热力学不对称性&lt;br /&gt;
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{{See also|Arrow of time}}&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with notions that have been observed of the fundamental laws of physics, namely [[CPT symmetry]], since the second law applies statistically, it is hypothesized, on time-asymmetric ''boundary conditions''.&amp;lt;ref&amp;gt;{{cite web|first=Craig|last=Callender|url=https://plato.stanford.edu/archives/fall2011/entries/time-thermo/|title=Thermodynamic Asymmetry in Time|encyclopedia=Stanford Encyclopedia of Philosophy|date=29 July 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with symmetries observed in the fundamental laws of physics (particularly CPT symmetry) since the second law applies statistically on time-asymmetric boundary conditions.[78] The second law has been related to the difference between moving forwards and backwards in time, or to the principle that cause precedes effect (the causal arrow of time, or causality).[79]&lt;br /&gt;
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热力学第二定律是在时间方向上不对称的物理定律。这与在物理学基本定律中观察到的对称性概念（特别是CPT对称性）&amp;lt;s&amp;gt;并&amp;lt;/s&amp;gt;没有冲突，因为第二定律在统计上适用于时间非对称边界条件。第二定律与时间向前和向后移动之间的差异有关，或者与原因先于结果的原理（时间的因果关系或因果关系）有关。&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect ([[Arrow of time#The causal arrow of time|the causal arrow of time]]).&amp;lt;ref&amp;gt;{{cite book | first = J.J.| last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1|display-authors=etal}} chapter 6&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect (the causal arrow of time).&lt;br /&gt;
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第二定律被提出来侧面解释时间向前和向后移动的区别，例如为什么原因先于结果(因果关系的时间箭头)。&lt;br /&gt;
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==Irreversibility==&lt;br /&gt;
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== Irreversibility 不可逆性 ==&lt;br /&gt;
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Irreversibility in [[thermodynamic process]]es is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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Irreversibility in thermodynamic processes is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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热力学过程中的不可逆性是热力学作用不对称特性的结果，而不是物体内部任何不可逆的微观性质的结果。热力学作用是对参与体施加的宏观外部干预，并非来自其内部属性。由于没有认识到这一点，产生了被称为“悖论”的说法。&lt;br /&gt;
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=== Loschmidt's paradox 洛施密特悖论 ===&lt;br /&gt;
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{{main article|Loschmidt's paradox}}&lt;br /&gt;
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[[Loschmidt's paradox]], also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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Loschmidt's paradox, also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论 Loschmidt's paradox&amp;lt;/font&amp;gt;'''，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;可逆性悖论reversibility paradox&amp;lt;/font&amp;gt;'''，它反驳说，从描述宏观系统微观演化的时间对称动力学中，不可能推导出不可逆过程。&lt;br /&gt;
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In the opinion of [[Erwin Schrödinger|Schrödinger]], &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropy{{snd}}or for that matter, all other irreversible statements{{snd}}so that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot;&amp;lt;ref&amp;gt;[[Erwin Schrödinger|Schrödinger, E.]] (1950), p.&amp;amp;nbsp;192.&amp;lt;/ref&amp;gt; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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In the opinion of Schrödinger, &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropyor for that matter, all other irreversible statementsso that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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薛定谔的认为：“现在很明显，您必须以何种方式重新制定熵定律（亦或者所有其他不可逆陈述）以使它们能够从可逆模型中得出。你不能只谈论一个孤立的系统，而应该至少谈论两个。你可以暂时认为它们与世界其它地方是孤立的，但并不总是相互孤立的。”这两个系统被隔离内壁彼此分开，直到被热力学（由热力学定律设想出来的）作用而拆除。热力学作用是从外部施加的，不受支配系统组成部分的可逆微观动力学定律的制约。这是不可逆转的原因。本文中第二定律的陈述符合薛定谔的的建议。 因果关系在逻辑上先于第二定律，而不是由第二定律推导而来。&lt;br /&gt;
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=== Poincaré recurrence theorem 庞加莱始态复现定理 ===&lt;br /&gt;
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{{Main article|Poincaré recurrence theorem}}&lt;br /&gt;
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The [[Poincaré recurrence theorem]] considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics. Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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The Poincaré recurrence theorem considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics.Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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庞加莱始态复现定理考虑了孤立物理系统的理论微观描述。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）又叫递归定理吗？存疑 &lt;br /&gt;
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经过热力学作用去除隔离内壁之后，便可以认为其是热力学系统的模型。在足够长的时间后，系统将返回到非常接近初始状态的微观定义状态。庞加莱复现时间是指回归前经过的时间长度。它极其漫长，可能比宇宙的寿命还要长，并且对那个被热力学作用拆除的内壁的几何形状敏感。复现定理可能被认为是明显与热力学第二定律相矛盾的。但是，更显而易见的是，它只是通过移除两个系统之间的内壁而形成的隔离系统中热力学平衡的微观模型。对所有典型的热力学系统的实际目的，人们无法观察到如此之长的复现时间很长（比宇宙的寿命长很多倍）。尽管如此，还是有人会想像一个机会可以等待庞加莱复现的出现，然后重新插入被热力学作用去除的内壁。然后很明显，不可逆性的出现是由于庞加莱复现完全不可预测的特性，因为仅仅给出了初始状态是热力学平衡之一，就像宏观热力学的情况一样。即使一个人可以等那么长时间，他也没有实际操作的可能性来选择合适的时间重新插入内壁。庞加莱始态复现定理为洛施密特悖论提供了一个解决方案。如果一个孤立的热力学系统能以多倍于平均庞加莱复现时间的长度下被监控，则该系统的热力学行为在时间反转下将变得恒定。&lt;br /&gt;
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[[File:James-clerk-maxwell3.jpg|thumb|upright|James Clerk Maxwell]]&lt;br /&gt;
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James Clerk Maxwell&lt;br /&gt;
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詹姆斯·克拉克·麦克斯韦&lt;br /&gt;
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=== Maxwell's demon 麦克斯韦妖 ===&lt;br /&gt;
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{{unreferenced|section|date=August 2018}}&lt;br /&gt;
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{{main article|Maxwell's demon}}&lt;br /&gt;
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[[James Clerk Maxwell]] imagined one container divided into two parts, ''A'' and ''B''. Both parts are filled with the same [[gas]] at equal temperatures and placed next to each other, separated by a wall. Observing the [[molecule]]s on both sides, an imaginary [[demon]] guards a microscopic trapdoor in the wall. When a faster-than-average molecule from ''A'' flies towards the trapdoor, the demon opens it, and the molecule will fly from ''A'' to ''B''. The average [[speed]] of the molecules in ''B'' will have increased while in ''A'' they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in ''A'' and increases in ''B'', contrary to the second law of thermodynamics.&lt;br /&gt;
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James Clerk Maxwell imagined one container divided into two parts, A and B. Both parts are filled with the same gas at equal temperatures and placed next to each other, separated by a wall. Observing the molecules on both sides, an imaginary demon guards a microscopic trapdoor in the wall. When a faster-than-average molecule from A flies towards the trapdoor, the demon opens it, and the molecule will fly from A to B. The average speed of the molecules in B will have increased while in A they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in A and increases in B, contrary to the second law of thermodynamics.&lt;br /&gt;
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'''麦克斯韦 James Clerk Maxwell'''设想一个容器分为A和B两部分。两部分均在相同温度下充满相同的气体，并彼此相邻由内壁隔开。一个虚构的妖精看守着一个内壁上的微型陷门，并观察者内壁两边的分子。当来自A的速度快于平均水平的分子飞向门时，妖精将门打开，该分子将从A飞向B。B中分子的平均速度将增加，而A中分子的平均速度将降低。由于平均分子速度与温度相对应，因此与热力学第二定律相反，温度在A中降低，在B中升高。&lt;br /&gt;
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One response to this question was suggested in 1929 by [[Leó Szilárd]] and later by [[Léon Brillouin]]. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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One response to this question was suggested in 1929 by Leó Szilárd and later by Léon Brillouin. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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1929年，Leó Szilárd和后来的 Léon Brillouin 对这个问题提出了一个答案。Szilárd指出，现实生活中的麦克斯韦妖需要一些测量分子速度的方法，而获取信息的过程需要消耗能量。&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between ''A'' and ''B''. It is therefore performing [[thermodynamic operation]]s on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between A and B. It is therefore performing thermodynamic operations on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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麦克斯韦的“妖”重复地改变 A 和 B 之间壁的热透性。因此，它是在微观尺度上执行热力学操作，而不仅仅是观察普通的自发或自然的宏观热力学过程。&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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语录&lt;br /&gt;
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{{quote|The law that entropy always increases holds, I think, the supreme position among the [[Laws of science|laws of Nature]]. If someone points out to you that your pet theory of the [[universe]] is in disagreement with [[Maxwell's equations]] – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.|Sir [[Arthur Stanley Eddington]], ''The Nature of the Physical World'' (1927)}}&lt;br /&gt;
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The law that entropy always increases holds, I think, the supreme position among the laws of Nature. If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equations – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.&lt;br /&gt;
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— Sir Arthur Stanley Eddington, The Nature of the Physical World (1927)&lt;br /&gt;
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我认为，熵总是增加的定律在自然定律中占有至高无上的地位。如果有人指出您的宇宙宠物理论杜撰的宇宙理论与麦克斯韦方程不符，那么麦克斯韦方程就遇到麻烦了。如果发现您的理论与观察不符，那么，可能是这些实验学家搞砸了。但是，如果发现您的理论违反了热力学第二定律，那么就没有希望了。除了在深深的耻辱中崩溃，别无他法。&lt;br /&gt;
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—亚瑟·斯坦利·爱丁顿爵士，《自然世界》（1927年）&lt;br /&gt;
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{{quote|There have been nearly as many formulations of the second law as there have been discussions of it.|Philosopher / Physicist [[Percy Williams Bridgman|P.W. Bridgman]], (1941)}}&lt;br /&gt;
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There have been nearly as many formulations of the second law as there have been discussions of it.&lt;br /&gt;
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— Philosopher / Physicist P.W. Bridgman, (1941)&lt;br /&gt;
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关于第二定律的公式几乎与关于第二定律的讨论一样多。&lt;br /&gt;
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—哲学家/物理学家 布里奇曼（1941）&lt;br /&gt;
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{{quote|Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.|[[Clifford Truesdell|Truesdell, C.]], Muncaster, R. G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 17.}}&lt;br /&gt;
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Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.&lt;br /&gt;
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克劳修斯（Sir Clausius）是西伯利亚文“宇宙的能量是恒定的；宇宙的熵趋于最大。”的作者。连续热力学的目标远远不能解释“宇宙”，但是在该理论内，我们可以很容易地以某种类似于克劳修斯的方式得出明确的陈述，只是它仅仅指代一个简单的物体：一个有限大小的孤立物体。&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.  特雷斯德尔，C.，蒙卡斯特，R.G.（1980）。麦克斯韦的单原子气体动力学理论的基本原理，被作为“理性力学”的一个分支，纽约学术出版社，ISBN 0-12-701350-4，第1页. 17。&lt;br /&gt;
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==See also==&lt;br /&gt;
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*[[Clausius–Duhem inequality]]&lt;br /&gt;
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*[[Fluctuation theorem]]&lt;br /&gt;
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*[[Heat death of the universe]]&lt;br /&gt;
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*[[History of thermodynamics]]&lt;br /&gt;
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*[[Jarzynski equality]]&lt;br /&gt;
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*[[Laws of thermodynamics]]&lt;br /&gt;
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*[[Maximum entropy thermodynamics]]&lt;br /&gt;
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*[[Quantum thermodynamics]]&lt;br /&gt;
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*[[Reflections on the Motive Power of Fire]]&lt;br /&gt;
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*[[Relativistic heat conduction]]&lt;br /&gt;
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*[[Thermal diode]]&lt;br /&gt;
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*[[Thermodynamic equilibrium]]&lt;br /&gt;
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==References==&lt;br /&gt;
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*Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (1st edition 1968), third edition 1983, Cambridge University Press, Cambridge UK, {{ISBN|0-521-25445-0}}.&lt;br /&gt;
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*[[Peter Atkins|Atkins, P.W.]], de Paula, J. (2006). ''Atkins' Physical Chemistry'', eighth edition, W.H. Freeman, New York, {{ISBN|978-0-7167-8759-4}}.&lt;br /&gt;
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*Attard, P. (2012). ''Non-equilibrium Thermodynamics and Statistical Mechanics: Foundations and Applications'', Oxford University Press, Oxford UK, {{ISBN|978-0-19-966276-0}}.&lt;br /&gt;
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*Baierlein, R. (1999). ''Thermal Physics'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-59082-5}}.&lt;br /&gt;
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*Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics, New York, {{ISBN|0-88318-797-3}}.&lt;br /&gt;
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*{{Cite book|title=Concepts in thermal physics|last=Blundell|first=Stephen J.|last2=Blundell|authorlink1=Stephen Blundell|first2=Katherine M.|authorlink2=Katherine Blundell|publisher=[[Oxford University Press]]|year=2010|isbn=9780199562107|edition=2nd|location=Oxford|pages=|oclc=607907330|doi=10.1093/acprof:oso/9780199562091.001.0001 |url=http://cds.cern.ch/record/1235139}}&lt;br /&gt;
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*[[Ludwig Boltzmann|Boltzmann, L.]] (1896/1964). ''Lectures on Gas Theory'', translated by S.G. Brush, University of California Press, Berkeley.&lt;br /&gt;
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*Borgnakke, C., Sonntag., R.E. (2009). ''Fundamentals of Thermodynamics'', seventh edition, Wiley, {{ISBN|978-0-470-04192-5}}.&lt;br /&gt;
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*Buchdahl, H.A. (1966). ''The Concepts of Classical Thermodynamics'', Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Percy Williams Bridgman|Bridgman, P.W.]] (1943). ''The Nature of Thermodynamics'', Harvard University Press, Cambridge MA.&lt;br /&gt;
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*[[Herbert Callen|Callen, H.B.]] (1960/1985). ''Thermodynamics and an Introduction to Thermostatistics'', (1st edition 1960) 2nd edition 1985, Wiley, New York, {{ISBN|0-471-86256-8}}.&lt;br /&gt;
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*{{cite journal|author=C. Carathéodory|author1-link=Constantin Carathéodory&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|title=Untersuchungen über die Grundlagen der Thermodynamik|year=1909|journal=Mathematische Annalen|volume=67|issue=3&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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2010年3月15日 | 第355-386页 |  http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;ppn=ppn235181684_0067&amp;amp;dmdid=dmdlog_0033&amp;amp;l=1&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). ''The Second Law of Thermodynamics'', Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). The Second Law of Thermodynamics, Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können.(p. 363) | doi 10.1007 / bf01450409}.译文可以在这里找到[ http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf ]。同时，在 Kestin，j。(1976).热力学第二定律，Dowden，Hutchinson &amp;amp; Ross，Stroudsburg PA. 。&lt;br /&gt;
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*[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986). [http://www.worldcat.org/title/reflections-on-the-motive-power-of-fire-a-critical-edition-with-the-surviving-scientific-manuscripts-translated-and-edited-by-fox-robert/oclc/812944517&amp;amp;referer=brief_results ''Reflections on the motive power of fire''], Manchester University Press, Manchester UK, {{ISBN|0-7190-1741-6}}. [https://archive.org/stream/reflectionsonmot00carnrich#page/n7/mode/2up Also here.]&lt;br /&gt;
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*[[Sydney Chapman (mathematician)|Chapman, S.]], [[Thomas George Cowling|Cowling, T.G.]] (1939/1970). ''The Mathematical Theory of Non-uniform gases. An Account of the Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases'', third edition 1970, Cambridge University Press, London.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Ueber Die Bewegende Kraft Der Wärme Und Die Gesetze, Welche Sich Daraus Für Die Wärmelehre Selbst Ableiten Lassen|journal=Annalen der Physik|year=1850|volume=79|issue=4|pages=368–397, 500–524|url=http://gallica.bnf.fr/ark:/12148/bpt6k15164w/f518.image|accessdate=26 June 2012|doi=10.1002/andp.18501550403|bibcode = 1850AnP...155..500C |hdl=2027/uc1.$b242250|hdl-access=free}} Translated into English: {{cite journal|last=Clausius|first=R.|title=On the Moving Force of Heat, and the Laws regarding the Nature of Heat itself which are deducible therefrom|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1851| volume=2|series=4th|issue=VIII|pages=1–21; 102–119 |url=https://archive.org/stream/londonedinburghd02lond#page/1/mode/1up|accessdate=26 June 2012&lt;br /&gt;
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|doi=10.1080/14786445108646819}}&lt;br /&gt;
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|doi=10.1080/14786445108646819}}&lt;br /&gt;
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10.1080 / 14786445108646819}&lt;br /&gt;
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* {{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Über eine veränderte Form des zweiten Hauptsatzes der mechanischen Wärmetheorie|year=1854|journal=Annalen der Physik|volume=xciii|issue=12|pages=481–506|url=http://zfbb.thulb.uni-jena.de/servlets/MCRFileNodeServlet/jportal_derivate_00140956/18541691202_ftp.pdf|accessdate=24 March 2014|doi=10.1002/andp.18541691202&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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| bibcode 1854AnP... 169. 1856年7月 | 第2卷 | 第4页 | 第86页 |  https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=242014年3月&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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热力学理论及其在蒸汽机和物体物理性质中的应用 | 1867年 | 出版商 John van Voorst | 位置: 伦敦 |  https://archive.org/details/mechanicaltheor04claugoog|quote=editions:pwr_sbkwa8ic。 2012年6月19日&lt;br /&gt;
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*Denbigh, K. (1954/1981). ''The Principles of Chemical Equilibrium. With Applications in Chemistry and Chemical Engineering'', fourth edition, Cambridge University Press, Cambridge UK, {{ISBN|0-521-23682-7}}.&lt;br /&gt;
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*Eu, B.C. (2002). ''Generalized Thermodynamics. The Thermodynamics of Irreversible Processes and Generalized Hydrodynamics'', Kluwer Academic Publishers, Dordrecht, {{ISBN|1-4020-0788-4}}.&lt;br /&gt;
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*[[Josiah Willard Gibbs|Gibbs, J.W.]] (1876/1878). On the equilibrium of heterogeneous substances, ''Trans. Conn. Acad.'', '''3''': 108-248, 343-524, reprinted in ''The Collected Works of J. Willard Gibbs, Ph.D, LL. D.'', edited by W.R. Longley, R.G. Van Name, Longmans, Green &amp;amp; Co., New York, 1928, volume 1, pp.&amp;amp;nbsp;55–353.&lt;br /&gt;
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*Griem, H.R. (2005). ''Principles of Plasma Spectroscopy (Cambridge Monographs on Plasma Physics)'', Cambridge University Press, New York  {{ISBN|0-521-61941-6}}.&lt;br /&gt;
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*Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability, and Fluctuations'', Wiley-Interscience, London, 1971, {{ISBN|0-471-30280-5}}.&lt;br /&gt;
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*Grandy, W.T., Jr (2008). [http://global.oup.com/academic/product/entropy-and-the-time-evolution-of-macroscopic-systems-9780199546176?cc=au&amp;amp;lang=en&amp;amp; ''Entropy and the Time Evolution of Macroscopic Systems'']. Oxford University Press. {{ISBN|978-0-19-954617-6}}.&lt;br /&gt;
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*Greven, A., Keller, G., Warnecke (editors) (2003). ''Entropy'', Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1949). 'Statistical basis of thermodynamics', ''Research'', '''2''': 450–454.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1967). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', fifth revised edition, North Holland, Amsterdam.&lt;br /&gt;
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*Gyarmati, I. (1967/1970) ''Non-equilibrium Thermodynamics. Field Theory and Variational Principles'', translated by E. Gyarmati and W.F. Heinz, Springer, New York.&lt;br /&gt;
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*[[Charles Kittel|Kittel, C.]], [[Herbert Kroemer|Kroemer, H.]] (1969/1980). ''Thermal Physics'', second edition, Freeman, San Francisco CA, {{ISBN|0-7167-1088-9}}.&lt;br /&gt;
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*Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998). ''Modern Thermodynamics: From Heat Engines to Dissipative Structures'', John Wiley &amp;amp; Sons, Chichester, {{ISBN|0-471-97393-9}}.&lt;br /&gt;
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*Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics: Foundations, Applications, Frontiers'', Springer-Verlag, Berlin, {{ISBN|978-3-540-74252-4}}.&lt;br /&gt;
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*{{cite journal|ref=harv|title=The Physics and Mathematics of the Second Law of Thermodynamics|last1=Lieb |first1=E. H. |last2=Yngvason |first2=J.|journal=Physics Reports|volume=310|issue=1|pages=1–96 |year=1999|doi=10.1016/S0370-1573(98)00082-9|arxiv = cond-mat/9708200 |bibcode = 1999PhR...310....1L}}&lt;br /&gt;
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*Lieb, E.H., Yngvason, J. (2003). The Entropy of Classical Thermodynamics, pp.&amp;amp;nbsp;147–195, Chapter 8 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*{{cite book|ref=harv|first=F.|last=Mandl|title=Statistical physics|edition=second|year=1988|publisher=[[Wiley &amp;amp; Sons]]|isbn=978-0-471-91533-1}}&lt;br /&gt;
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*{{cite journal | last1 = Maxwell | first1 = J.C. | authorlink = James Clerk Maxwell | year = 1867 | title = On the dynamical theory of gases | url = | journal = Phil. Trans. R. Soc. Lond. | volume = 157 | issue = | pages = 49–88 | doi = 10.1098/rstl.1867.0004 }}&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985). ''Thermodynamics'', Pitman, London, {{ISBN|0-273-08577-8}}.&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003). Entropy in Nonequilibrium, pp.&amp;amp;nbsp;79–109, Chapter 5 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}.&lt;br /&gt;
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*[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1897/1903). [https://archive.org/stream/treatiseonthermo00planrich#page/100/mode/2up ''Treatise on Thermodynamics'', translated by A. Ogg, Longmans Green, London, p. 100.]&lt;br /&gt;
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*[[Max Planck|Planck. M.]] (1914). [https://archive.org/details/theoryofheatradi00planrich ''The Theory of Heat Radiation''], a translation by Masius, M. of the second German edition, P. Blakiston's Son &amp;amp; Co., Philadelphia.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1926). Über die Begründung des zweiten Hauptsatzes der Thermodynamik, ''Sitzungsberichte der Preussischen Akademie der Wissenschaften: Physikalisch-mathematische Klasse'': 453–463.&lt;br /&gt;
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* Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769-781.&lt;br /&gt;
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* {{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&lt;br /&gt;
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*Quinn, T.J. (1983). ''Temperature'', Academic Press, London, {{ISBN|0-12-569680-9}}.&lt;br /&gt;
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*{{cite book|ref=harv|first=Y.V.C.|last=Rao|title=An Introduction to thermodynamics|url=https://books.google.com/books?id=iYWiCXziWsEC&amp;amp;pg=PA213|date=2004|publisher=Universities Press|isbn=978-81-7371-461-0|page=213}}&lt;br /&gt;
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*Roberts, J.K., Miller, A.R. (1928/1960). ''Heat and Thermodynamics'', (first edition 1928), fifth edition, Blackie &amp;amp; Son Limited, Glasgow.&lt;br /&gt;
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*[[Erwin Schrödinger|Schrödinger, E.]] (1950). Irreversibility, ''Proc. R. Ir. Acad.'', '''A53''': 189–195.&lt;br /&gt;
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*[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966). ''Elements of Thermodynamics'', Addison-Wesley Publishing, Reading MA.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Thomson|first=W.|author-link=William Thomson, 1st Baron Kelvin|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Transactions of the Royal Society of Edinburgh|year=1851|volume=XX|issue=part II|pages=261–268; 289–298|url=https://www.biodiversitylibrary.org/item/126047#page/295/mode/1up}} Also published in {{cite journal|last=Thomson|first=W.|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Philos. Mag. |date=December 1852 |volume=IV |series=4 |issue=22 |page=13|url=https://archive.org/stream/londonedinburghp04maga#page/12/mode/2up |accessdate=25 June 2012}}&lt;br /&gt;
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*[[William Thomson, 1st Baron Kelvin|Thomson, W.]] (1852). ''On the universal tendency in nature to the dissipation of mechanical energy'' Philosophical Magazine, Ser. 4, p.&amp;amp;nbsp;304.&lt;br /&gt;
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*[[László Tisza|Tisza, L.]] (1966). ''Generalized Thermodynamics'', M.I.T Press, Cambridge MA.&lt;br /&gt;
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*[[Clifford Truesdell|Truesdell, C.]] (1980). ''The Tragicomical History of Thermodynamics 1822–1854'', Springer, New York, {{ISBN|0-387-90403-4}}.&lt;br /&gt;
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*Uffink, J. (2001). Bluff your way in the second law of thermodynamics, ''Stud. Hist. Phil. Mod. Phys.'', '''32'''(3): 305–394.&lt;br /&gt;
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*Uffink, J. (2003). Irreversibility and the Second Law of Thermodynamics, Chapter 7 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003), Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963). ''Lectures in Statistical Mechanics'', American Mathematical Society, Providence RI.&lt;br /&gt;
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*[[Mark Zemansky|Zemansky, M.W.]] (1968). ''Heat and Thermodynamics. An Intermediate Textbook'', fifth edition, McGraw-Hill Book Company, New York.&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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进一步阅读&lt;br /&gt;
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*Goldstein, Martin, and Inge F., 1993. ''The Refrigerator and the Universe''. Harvard Univ. Press. Chpts. 4–9 contain an introduction to the Second Law, one a bit less technical than this entry. {{ISBN|978-0-674-75324-2}}&lt;br /&gt;
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*Leff, Harvey S., and Rex, Andrew F. (eds.) 2003. ''Maxwell's Demon 2 : Entropy, classical and quantum information, computing''. Bristol UK; Philadelphia PA: [[Institute of Physics]]. {{ISBN|978-0-585-49237-7}}&lt;br /&gt;
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*{{Cite book | first = J.J. | last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1}}(technical).&lt;br /&gt;
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*{{cite book |title=Reflections on the Motive Power of Heat and on Machines Fitted to Develop That Power |last=Carnot |first=Sadi |editor=[[Robert Henry Thurston|Thurston, Robert Henry]] |year=1890 |publisher=J. Wiley &amp;amp; Sons |location=New York |isbn= |pages= }} ([https://books.google.com/books?id=tgdJAAAAIAAJ full text of 1897 ed.]) ([http://www.history.rochester.edu/steam/carnot/1943/ html])&lt;br /&gt;
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*Stephen Jay Kline (1999). ''The Low-Down on Entropy and Interpretive Thermodynamics'', La Cañada, CA: DCW Industries. {{ISBN|1-928729-01-0}}.&lt;br /&gt;
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*{{cite book | last1 = Kostic | first1 = M | year = 2011 | title = Revisiting The Second Law of Energy Degradation and Entropy Generation: From Sadi Carnot's Ingenious Reasoning to Holistic Generalization | journal = AIP Conf. Proc. | volume = 1411 | issue = 1| pages = 327–350 | doi = 10.1063/1.3665247 | isbn = 978-0-7354-0985-9 | bibcode = 2011AIPC.1411..327K | series = AIP Conference Proceedings | citeseerx = 10.1.1.405.1945 }} also at [https://web.archive.org/web/20130420222450/http://www.kostic.niu.edu/2ndLaw/Revisiting%20The%20Second%20Law%20of%20Energy%20Degradation%20and%20Entropy%20Generation%20-%20From%20Carnot%20to%20Holistic%20Generalization-4.pdf].&lt;br /&gt;
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==External links==&lt;br /&gt;
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*[[Stanford Encyclopedia of Philosophy]]: &amp;quot;[http://plato.stanford.edu/entries/statphys-statmech/ Philosophy of Statistical Mechanics]&amp;quot; – by Lawrence Sklar.&lt;br /&gt;
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*[http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node30.html ''Second law of thermodynamics''] in the MIT Course [http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/notes.html ''Unified Thermodynamics and Propulsion''] from Prof. Z. S. Spakovszky&lt;br /&gt;
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*[[E.T. Jaynes]], 1988, &amp;quot;[http://bayes.wustl.edu/etj/articles/ccarnot.pdf The evolution of Carnot's principle],&amp;quot; in G. J. Erickson and C. R. Smith (eds.)''Maximum-Entropy and Bayesian Methods in Science and Engineering, Vol'' 1: p.&amp;amp;nbsp;267.&lt;br /&gt;
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*[http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf Caratheodory, C., &amp;quot;Examination of the foundations of thermodynamics,&amp;quot; trans. by D. H. Delphenich]&lt;br /&gt;
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* [https://www.bbc.co.uk/programmes/p004y2bm The Second Law of Thermodynamics], BBC Radio 4 discussion with John Gribbin, Peter Atkins &amp;amp; Monica Grady (''In Our Time'', Dec. 16, 2004)&lt;br /&gt;
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* [http://mdpi.org/entropy/papers/e6010001.pdf [[Entropy (journal)]], 2004]&lt;br /&gt;
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* [https://www.journals.uchicago.edu/doi/abs/10.1086/663835 The Journal of the International Society for the History of Philosophy of Science, 2012]&lt;br /&gt;
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类别: 非平衡态热力学&lt;br /&gt;
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[[Category:Philosophy of thermal and statistical physics]]&lt;br /&gt;
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Category:Philosophy of thermal and statistical physics&lt;br /&gt;
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类别: 热力学和统计物理学哲学&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Second law of thermodynamics]]. Its edit history can be viewed at [[热力学第二定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
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	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12827</id>
		<title>热力学第二定律</title>
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		<updated>2020-08-17T14:42:15Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Introduction引言 */&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{short description|Law of physics}}&lt;br /&gt;
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{{Thermodynamics|laws}}&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 全文审校中，heat一般统一译为“热”，caloric 或者 caloric of heat 译为“热量”。这一点是否准确，有待各位同学和专家的批评指正&lt;br /&gt;
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The '''second law of thermodynamics''' states that the total [[entropy]] of an [[isolated system]] can never decrease over time, and is constant if and only if all processes are reversible.&amp;lt;ref&amp;gt;http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node38.html#SECTION05224000000000000000&amp;lt;/ref&amp;gt; Isolated systems spontaneously evolve towards [[thermodynamic equilibrium]], the state with maximum entropy. &lt;br /&gt;
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The second law of thermodynamics states that the total entropy of an isolated system can never decrease over time, and is constant if and only if all processes are reversible. Isolated systems spontaneously evolve towards thermodynamic equilibrium, the state with maximum entropy. &lt;br /&gt;
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&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第二定律 Second Law Of Thermodynamics'''&amp;lt;/font&amp;gt;指出，&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''孤立系统Isolated System'''&amp;lt;/font&amp;gt;的总熵永远不会随着时间而减少，且当且仅当所有过程都是可逆时，总熵才恒定。孤立系统自发地到达到热力学平衡状态，此时为熵最大的状态。&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in [[thermodynamic equilibrium]], or is undergoing a (fictive) [[Reversible process (thermodynamics)|reversible process]]. In all processes that occur, including [[spontaneous process]]es,&amp;lt;ref&amp;gt;Atkins and de Paula, p.78&amp;lt;/ref&amp;gt; the total entropy of the system and its surroundings increases and the process is [[Irreversible process|irreversible in the thermodynamic sense]]. The increase in entropy accounts for the irreversibility of natural processes, and the [[Arrow of time|asymmetry between future and past]].&amp;lt;ref&amp;gt;{{cite book|last=Zohuri|first=Bahman|title=Dimensional Analysis Beyond the Pi Theorem|url=https://books.google.com/books?id=pRVuDQAAQBAJ|year=2016|publisher=Springer|isbn=978-3-319-45726-0|page=[https://books.google.com.ph/books?id=pRVuDQAAQBAJ&amp;amp;pg=PA111&amp;amp;dq=%22increase+in+entropy+accounts+for+the+irreversibility+of+natural+processes+and+the+asymmetry+between+future+and+past.%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ved=0ahUKEwj6spb61tbaAhUFS7wKHfftDtIQ6AEIKDAA#v=onepage&amp;amp;q=%22increase%20in%20entropy%20accounts%20for%20the%20irreversibility%20of%20natural%20processes%20and%20the%20asymmetry%20between%20future%20and%20past.%22 111]}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in thermodynamic equilibrium, or is undergoing a (fictive) reversible process. In all processes that occur, including spontaneous processes, the total entropy of the system and its surroundings increases and the process is irreversible in the thermodynamic sense. The increase in entropy accounts for the irreversibility of natural processes, and the asymmetry between future and past.&lt;br /&gt;
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系统及其周围环境的总熵在理想情况下可以保持不变，在这种情况下，系统处于热力学平衡状态，或者正在经历一个假想的可逆过程。所有过程中，包括&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''自发过程 Spontaneous Processes'''&amp;lt;/font&amp;gt;，系统及其周围环境的总熵增加，这一过程在热力学意义上是不可逆的。熵的增加解释了自然过程的不可逆性，以及未来和过去之间的不对称性。&lt;br /&gt;
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Historically, the second law was an [[Empirical evidence|empirical finding]] that was accepted as an axiom of [[thermodynamics|thermodynamic theory]].  [[Statistical mechanics]], classical or [[quantum thermodynamics|quantum]], explains the microscopic origin of the law.&lt;br /&gt;
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Historically, the second law was an empirical finding that was accepted as an axiom of thermodynamic theory.  Statistical mechanics, classical or quantum, explains the microscopic origin of the law.&lt;br /&gt;
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从历史上看，第二定律是一个经验性的发现，它被认为是热力学理论中的公理。经典统计力学、量子统计力学都可以解释这个定律的微观起源。&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist [[Nicolas Léonard Sadi Carnot|Sadi Carnot]], who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as [[Carnot's theorem (thermodynamics)|Carnot's rule]] or limit.&amp;lt;ref&amp;gt;Jaffe, R.L., Taylor, W. (2018). ''The Physics of Energy'', Cambridge University Press, Cambridge UK, pages 150, 151, 259, 772, 743.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist Sadi Carnot, who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as Carnot's rule or limit.&lt;br /&gt;
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&amp;lt;font color = 'blue'&amp;gt;热力学第二定律可以使用多种方法表述。它的第一个公式归功于法国科学家&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺Sadi Carnot'''&amp;lt;/font&amp;gt;，卡诺在1824年证明了在热机中将热转化为功的效率有一个上限。第二定律的这个方面也被称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺规则Carnot's Rule'''&amp;lt;/font&amp;gt;或&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺限制Carnot's Limit'''&amp;lt;/font&amp;gt;。&amp;lt;/font&amp;gt;&lt;br /&gt;
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'''热力学第二定律 Second Law of Thermodynamics'''是热力学的四条基本定律之一，它表述了热力学过程的不可逆性——孤立系统自发地朝着热力学平衡方向（即最大熵状态）演化，另一种表述为：第二类永动机永不可能实现。&lt;br /&gt;
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--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）这里是不是少了一段原文？&lt;br /&gt;
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==Introduction引言==&lt;br /&gt;
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[[File:Heat flow hot to cold.png|thumb|upright|Heat flow from hot water to cold water. 热总是从热水流向冷水]]&lt;br /&gt;
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The [[first law of thermodynamics]] provides the definition of the [[internal energy]] of a [[thermodynamic system]], and expresses the law of [[conservation of energy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 40–41.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Munster A. (1970), pp. 8–9, 50–51.&amp;lt;/ref&amp;gt; The second law is concerned with the direction of natural processes.&amp;lt;ref&amp;gt;{{harvnb|Mandl|1988}}&amp;lt;/ref&amp;gt; It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such [[Phenomenon|phenomena]] are accounted for in terms of [[entropy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 79–107.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994), Section 71, pp. 113–154.&amp;lt;/ref&amp;gt; If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, {{math|''S''}}, increases.&lt;br /&gt;
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The first law of thermodynamics provides the definition of the internal energy of a thermodynamic system, and expresses the law of conservation of energy. The second law is concerned with the direction of natural processes. It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such phenomena are accounted for in terms of entropy. If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&lt;br /&gt;
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'''热力学第一定律 First Law Of Thermodynamics'''定义了热力学系统所涉及到的'''内能 Internal Energy''，并体现了能量守恒定律。热力学第二定律与'''自然过程Natural Processes'''的方向有关。它断言自然过程只在一种意义上进行，且不可逆 。例如，当有了传导和辐射的（传播）路径时，热总是自发地从一个较热的物体流向一个较冷的物体。这种现象可以用'''熵Entropy'''来解释。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;若一个'''孤立系统Isolated System'''最初在具有隔热内壁的系统内维持热力学平衡，通过一些操作使内壁透热，则该系统可自发地演变，最终达到一个新的内部热力学平衡，且其总熵{{math|''S''}}增加。If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy ({{math|d''S''}}) of a system is defined to result from an infinitesimal transfer of heat ({{math|δ''Q''}}) to a [[closed system]] (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature ({{math|''T''}}) of the system in equilibrium and the surroundings which supply the heat:&amp;lt;ref&amp;gt;Bailyn, M. (1994), p. 120.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy () of a system is defined to result from an infinitesimal transfer of heat () to a closed system (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature () of the system in equilibrium and the surroundings which supply the heat:&lt;br /&gt;
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在假想的可逆过程中，系统的熵的无穷小增量&amp;lt;math&amp;gt;dS&amp;lt;/math&amp;gt;被定义为由无穷小的热&amp;lt;math&amp;gt;δQ&amp;lt;/math&amp;gt;传递到一个封闭系统(允许能量进入或出去，但不允许物质传递的系统）除以该平衡系统和提供热的环境的共同温度 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat ({{mvar|δ}}) and infinitesimal amounts of entropy ({{mvar|d}}) because entropy is a [[function of state]], while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the [[Clausius Theorem|inequality]] &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt; Mortimer, R. G. ''Physical Chemistry''. 3rd ed., p. 120, Academic Press, 2008. &amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;FermiBook&amp;quot;&amp;gt; Fermi, E. ''Thermodynamics'', footnote on p. 48, Dover Publications,1956 (still in print). &amp;lt;/ref&amp;gt; &lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat () and infinitesimal amounts of entropy () because entropy is a function of state, while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the inequality  &lt;br /&gt;
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用不同的符号''δ''和''d''表示无穷小量的热和无穷小量的熵，因为熵是状态函数，而热和功一样，并不是状态函数。对于实际上可能存在的不与环境发生物质交换的无穷小过程，第二定律要求系统熵增量满足不等式：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature ({{math|''T''}}) and the temperature of the surroundings ({{math|''T''}}&amp;lt;sub&amp;gt;''surr''&amp;lt;/sub&amp;gt;).&lt;br /&gt;
&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Adkins, C.J. (1968/1983), p. 75.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt; &lt;br /&gt;
Note that the equality still applies for pure heat flow,&lt;br /&gt;
&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt; Schmidt-Rohr, K. (2014). &amp;quot;Expansion Work without the External Pressure, and Thermodynamics in Terms of Quasistatic Irreversible Processes&amp;quot; ''J. Chem. Educ.'' '''91''': 402-409.  https://dx.doi.org/10.1021/ed3008704 &amp;lt;/ref&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature () and the temperature of the surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;).Note that the equality still applies for pure heat flow。&lt;br /&gt;
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这是因为在这种情况下的一般过程可能包括周围环境对系统所做的功，该功在系统内部会产生摩擦或粘滞效应，此时一个化学反应可能正在系统内部进行，或因为热传递实际上是不可逆地发生，系统温度&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;和周围环境温度&amp;lt;math&amp;gt;T_surr&amp;lt;/math&amp;gt;之间的差异驱动了热传递的发生。注意该等式也适用于'''纯热流Pure Heat Flow'''&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(actually possible quasistatic irreversible process without composition change 实际上可能的,不改变成分的准静态不可逆性).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;&amp;gt;Oxtoby, D. W; Gillis, H.P., [[Laurie Butler|Butler, L. J.]] (2015).''Principles of Modern Chemistry'', Brooks Cole. p. 617.  {{ISBN|978-1305079113}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; Introducing a set of internal variables &amp;lt;math&amp;gt;\xi&amp;lt;/math&amp;gt; to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure ''P'' and temperature ''T'')&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.[16] [11] Introducing a set of internal variables {\displaystyle \xi }\xi  to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure P and temperature T)[15] from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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这种方法是通过测量'''热容曲线 Heat Capacity Curves'''和相变中熵的变化，来准确测定纯物质的绝对熵的基础，比如'''量热法calorimetry'''。&lt;br /&gt;
为了描述一个热力学系统在物理平衡状态下(要求有明确定义的等压P和等温T)偏离化学平衡状态，引入一组内部变量&amp;lt;math&amp;gt;x_i&amp;lt;/math&amp;gt;,可以用该等式&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} - \frac{1}{T} \sum_{j} \, \Xi_{j} \,\delta \xi_j \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(closed system, actually possible quasistatic irreversible process 封闭系统，实际可能的准静态不可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of ''the second principle of thermodynamics'' – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&amp;lt;ref&amp;gt; Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769–781.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of the second principle of thermodynamics – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&lt;br /&gt;
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第二项代表内部变量的功，这些内部变量可能受到外部影响的干扰，但是系统不能通过内部变量做任何正功。这种说法介绍了热力学系统在时间上演化不可能逆转的性质，并且可以被认为是热力学第二原理的另外一种相当于熵原理的表述。该公式可以被看作使用'''熵Entropy'''的热力学第二定律等价表述&lt;br /&gt;
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The [[zeroth law of thermodynamics]] in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body.&amp;lt;ref name=dugdale&amp;gt;{{cite book|author=J. S. Dugdale|title=Entropy and its Physical Meaning|publisher=Taylor &amp;amp; Francis|year=1996|isbn=978-0-7484-0569-5|page=13|quote=This law is the basis of temperature.}}&amp;lt;/ref&amp;gt; For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows{{how?|date=August 2018}} a distinguished temperature scale, which defines an absolute, [[thermodynamic temperature]], independent of the properties of any particular reference thermometric body.&amp;lt;ref&amp;gt;[[Mark Zemansky|Zemansky, M.W.]] (1968), pp. 207–209.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Quinn, T.J. (1983), p. 8.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The zeroth law of thermodynamics in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body. For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows a distinguished temperature scale, which defines an absolute, thermodynamic temperature, independent of the properties of any particular reference thermometric body.&lt;br /&gt;
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热力学第零定律是指如果两个热力学系统&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;中的每一个&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;都与第三个热力学系统处于热平衡(温度相同)&amp;lt;font color= 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;，则它们彼此也必定处于热平衡&amp;lt;font color= 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;。热力学第零定律在&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;它&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;这个&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;通常的&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;简短叙述中让人们认识到热平衡关系中的两个物体具有相同的温度，特别是当一个被测物体与一个参考测温物体具有相同的温度时，对于&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;一个与另一个&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;两个&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;处于热平衡&amp;lt;font color= 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;的物体，有无限多的'''&amp;lt;font color = '#ff8000'&amp;gt;经验温标empirical temperature scales&amp;lt;/font&amp;gt;'''，这通常&amp;lt;font color= 'blue'&amp;gt;分别&amp;lt;/font&amp;gt;取决于特定参考温度&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;标度&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color= 'blue'&amp;gt;体&amp;lt;/font&amp;gt;的性质。热力学第二定律允许区分'''&amp;lt;font color = '#ff8000'&amp;gt;温度标度temperature scale&amp;lt;/font&amp;gt;'''，它定义了一个绝对的热力学温度，与任何特定的参考温度体的性质无关。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）补充热力学第零定律&lt;br /&gt;
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==Various statements of the law热力学第二定律的不同表述==&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways,&amp;lt;ref name=MIT&amp;gt;{{cite web|title=Concept and Statements of the Second Law|url=http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node37.html|accessdate=2010-10-07 |publisher=web.mit.edu}}&amp;lt;/ref&amp;gt; the most prominent classical statements{{sfnp|Lieb|Yngvason|1999}} being the statement by [[Rudolf Clausius]] (1854), the statement by [[William Thomson, 1st Baron Kelvin|Lord Kelvin]] (1851), and the statement in axiomatic thermodynamics by [[Constantin Carathéodory]] (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.{{sfnp|Rao|2004|p=213}}&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways, the most prominent classical statements being the statement by Rudolf Clausius (1854), the statement by Lord Kelvin (1851), and the statement in axiomatic thermodynamics by Constantin Carathéodory (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.&lt;br /&gt;
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热力学第二定律可以用许多特定的方式来表达，最突出的经典陈述是 '''克劳修斯 Rudolf Clausius''' (1854)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，'''开尔文 Kelvin''' (1851)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，以及康斯坦丁·卡拉西奥多里 Constantin Carathéodory(1909)在'''&amp;lt;font color = '#ff8000'&amp;gt;公理化热力学axiomatic thermodynamics&amp;lt;/font&amp;gt;'''中的&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;。这些&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;用一般的物理术语来描述定律，引用某些过程的不可能性。克劳修斯和开尔文表述被证明是等价的。&lt;br /&gt;
  --[[用户:厚朴|厚朴]]（[[用户讨论:厚朴|讨论]]）statement的表述需要统一，同样的statement by Rudolf Clausius这里需要统一开尔文 克劳修斯 Kelvin Clausius&lt;br /&gt;
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===Carnot's principle卡诺原理===&lt;br /&gt;
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The historical origin&amp;lt;ref&amp;gt;[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986).&amp;lt;/ref&amp;gt; of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a [[Carnot heat engine]], fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the [[caloric theory]] of heat was seriously considered, before the recognition of the [[first law of thermodynamics]], and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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The historical origin of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a Carnot heat engine, fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the caloric theory of heat was seriously considered, before the recognition of the first law of thermodynamics, and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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热力学第二定律的历史起源是'''卡诺原理Carnot's principle'''。&lt;br /&gt;
它指的是'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机Carnot heat engine&amp;lt;/font&amp;gt;'''的一个循环，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;它&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;卡诺热机&amp;lt;/font&amp;gt;以'''&amp;lt;font color = '#ff8000'&amp;gt;准静态quasi-static&amp;lt;/font&amp;gt;'''的极限慢速运转，因此热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;和功在子系统之间进行传递，子系统总是处于它们自己内部的热力学平衡状态。&lt;br /&gt;
卡诺热机是研究热机效率的工程师特别感兴趣的理想装置。&lt;br /&gt;
当卡诺发现卡诺原理时，'''&amp;lt;font color = '#ff8000'&amp;gt;热量理论caloric theory of heat&amp;lt;/font&amp;gt;'''还没有得到重视，热力学第一定律还没有得到承认，熵的概念还没有数学表达。&lt;br /&gt;
根据第一定律的解释，它在物理上等同于热力学第二定律，并沿用至今。&lt;br /&gt;
在热力学第一定律被发现之前，卡诺最初的论点是从热量理论的观点出发的。&lt;br /&gt;
下面是他书中的一些例子：&lt;br /&gt;
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::...''wherever there exists a difference of temperature, motive power can be produced.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 51.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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...wherever there exists a difference of temperature, motive power can be produced.&lt;br /&gt;
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……只要有温差，就能产生动力。&lt;br /&gt;
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::The production of motive power is then due in steam engines not to an actual consumption of caloric, but ''to its transportation from a warm body to a cold body ...''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 46.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The production of motive power is then due in steam engines not to an actual consumption of caloric, but to its transportation from a warm body to a cold body ...&lt;br /&gt;
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动力的产生不是由于蒸汽机实际消耗的热量，而是由于它从一个较热的物体&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;运输&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到一个较冷的物体……。&lt;br /&gt;
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::''The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 68.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.&lt;br /&gt;
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热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;的原动力与实现热的媒介无关，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量的数量&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;热的量&amp;lt;/font&amp;gt;完全取决于两个物体之间的温度，最后是热量的传递。&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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用现代术语&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;来说&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;，卡诺原理可能更为准确:&lt;br /&gt;
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::The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]] (1980), Chapter 5.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983), pp. 56–58.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Münster, A. (1970), p. 11.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998), pp.67–75.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008), p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Eu, B.C. (2002), pp. 32–35.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&lt;br /&gt;
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准静态卡诺循环或可逆卡诺循环的效率只取决于两种热源的温度，而且无论工作物质是什么，效率是相同的。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;只有&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;使用&amp;lt;/font&amp;gt;两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。 A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;/font&amp;gt;''' &lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）最后一句进行了补充 意译&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我没太看懂卡诺表述，所以不能确定这里的补充是否正确。可以再看一下“与工作物质交换热源”部分的表述是否准确&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）如果不确定，可以考虑将这句话标注为疑难句；或直接按原文直译&lt;br /&gt;
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===Clausius statement克劳修斯表述===&lt;br /&gt;
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The German scientist [[Rudolf Clausius]] laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work.{{sfnp|Clausius|1850}} His formulation of the second law, which was published in German in 1854, is known as the ''Clausius statement'':&lt;br /&gt;
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The German scientist Rudolf Clausius laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work. His formulation of the second law, which was published in German in 1854, is known as the Clausius statement:&lt;br /&gt;
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1850年，德国科学家'''鲁道夫·克劳修斯 Rudolf Clausius''' 通过研究热传递和功之间的关系，为热力学第二定律&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;实验室&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;奠定了基础。他在1854年用德语发表的论文中所提及的热力学第二定律定义被称为克劳修斯表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.{{sfnp|Clausius|1854|p=86}}&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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不可能把热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从低温物体传递到高温物体而不产生其他影响。 &lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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克劳修斯的表述使用了“'''&amp;lt;font color = '#ff8000'&amp;gt;热通道Passage Of Heat&amp;lt;/font&amp;gt;'''”的概念。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;正如通常在热力学的讨论，这意味着“能量作为热的净转移” ，而不是另一种形式上的&amp;quot;分摊转账&amp;quot;或其他。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;&lt;br /&gt;
在热力学的讨论中，通常这意味着“能量作为热的形式的净转移” ，而不是指其他方式的转移。&amp;lt;/font&amp;gt;&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）不太理解分摊转账contributory transfers &lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）  我觉得应该是说，energy as '''heat''' 而不是 as其他方式的转移&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）我认为这里不要把contributory transfer看作一个专有名词去理解，从contributory的本意“A contributory factor of a problem or accident is one of the things which caused it to exist or happen.”来理解即可，感觉嘉树理解的是对的。&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of [[refrigeration]], for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of refrigeration, for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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如果不对系统&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;进行外部功&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;外部做功&amp;lt;/font&amp;gt;，热&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;量就&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;不能自发地从冷区流向热区，这一点从制冷的普通经验中也可以看出。在冰箱中，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量从冷到热，但只有在外部媒介——制冷系统的强制作用下才会发生变化。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;只有在外部媒介也就是制冷系统的强制作用下热才会从冷区流到热区。&amp;lt;/font&amp;gt;&lt;br /&gt;
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===Kelvin statements开尔文表述===&lt;br /&gt;
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[[William Thomson, 1st Baron Kelvin|Lord Kelvin]] expressed the second law in several wordings.&lt;br /&gt;
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Lord Kelvin expressed the second law in several wordings.&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文勋爵 Lord Kelvin&amp;lt;/font&amp;gt;''' &amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;用几个字表达&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;了热力学第二定律。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 感觉”用几个字“怪怪的，所以删掉了&lt;br /&gt;
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::It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;无法从单一热源取热使其完全转化为有用功而不对环境产生影响。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能从单一热源取热使之完全转换为有用的功而不产生其他影响。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 改的内容和原文内容不太对应。这个摘自百度百科，另参见 严子浚(1994). 对热力学第二定律开尔文表述的一点讨论, 大学物理: 13(2).&lt;br /&gt;
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::It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.{{sfnp|Thomson|1851}}&lt;br /&gt;
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It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;通过无生命物质的作用，不可能通过将物质的任何部分冷却到低于周围物体最冷的温度来产生机械效应。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能通过无生命物质的作用，将物质的任何部分冷却到低于周围物体最低的温度并产生'''&amp;lt;font color = '#ff8000'&amp;gt;机械效应 Mechanical Effect&amp;lt;/font&amp;gt;'''。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）无生命物质可以意译为机器吗&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我不太懂这个，不过感觉最好不要吧。&lt;br /&gt;
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===Equivalence of the Clausius and the Kelvin statements克劳修斯和开尔文表述的等价性===&lt;br /&gt;
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[[Image:Deriving Kelvin Statement from Clausius Statement.svg|thumb|Derive Kelvin Statement from Clausius Statement从克劳修斯表述推导出开尔文表述]]&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed [[Carnot engine]] as shown by the figure. The [[Heat engine#Efficiency|efficiency]] of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; from the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the [[first law of thermodynamics]], as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed Carnot engine as shown by the figure. The efficiency of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat from &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the first law of thermodynamics, as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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假设有一个热机违反了开尔文定理: 也就是说，这个热机以循环的方式吸收热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;并将其&amp;lt;font color = 'blue'&amp;gt;完全&amp;lt;/font&amp;gt;转化为功，而&amp;lt;font color = 'blue'&amp;gt;且&amp;lt;/font&amp;gt;不产生任何影响。现&amp;lt;font color = 'blue'&amp;gt;在将其&amp;lt;/font&amp;gt;与反向卡诺&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;发动&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;机&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;相对应&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;比较&amp;lt;/font&amp;gt;，如图所示。&lt;br /&gt;
普通热机的效率为η，反向热机的效率为1/η。这对&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热机的联合作用为&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;联合热机的净效应和唯一效应是&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; 将热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从较冷热源&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到较热热源，这违反了克劳修斯表述。（这是能量守恒定律的结果，因为系统的总能量保持不变&amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;，所以&amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt;。）因此，违反开尔文表述意味着违反克劳修斯表述，即克劳修斯表述暗示了开尔文表述。我们可以用类似的方式证明开尔文表述暗示了克劳修斯表述，因此两者是等价的。&lt;br /&gt;
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===Planck's proposition普朗克&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;假设&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;命题&amp;lt;/font&amp;gt;===&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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普朗克提出了直接来自经验的如下命题。这有时被认为是他对热力学第二定律的表述，但他认为这是热力学第二定律推导的起点。&lt;br /&gt;
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::It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 86.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 319.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;建造一台发动机是不可能的，这台发动机将在一个完整的循环中工作，&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能建造一台发动机，使其在一个完整的循环中工作，&amp;lt;/font&amp;gt;并且除了提高重量和冷却热储以外不会产生任何效果。&lt;br /&gt;
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===Relation between Kelvin's statement and Planck's proposition 开尔文表述与普朗克命题的关系===&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;[[Kelvin-Planck statement]]&amp;quot; of the law, as for example in the text by [[Dirk ter Haar|ter Haar]] and [[Harald Wergeland|Wergeland]].&amp;lt;ref&amp;gt;[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966), p. 17.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;Kelvin-Planck statement&amp;quot; of the law, as for example in the text by ter Haar and Wergeland.&lt;br /&gt;
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教科书中几乎总是用“'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文-普朗克表述 Kelvin-Planck Statement&amp;lt;/font&amp;gt;'''”来称呼该定律，例如'''&amp;lt;font color = '#ff8000'&amp;gt;德克·特哈尔 Diek ter Haar&amp;lt;/font&amp;gt;''' 和'''&amp;lt;font color = '#ff8000'&amp;gt;哈拉尔德·沃格兰 Harald Wergeland&amp;lt;/font&amp;gt;''' 就是这样表述的。&lt;br /&gt;
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The '''Kelvin–Planck statement''' (or the ''heat engine statement'') of the second law of thermodynamics states that &lt;br /&gt;
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The Kelvin–Planck statement (or the heat engine statement) of the second law of thermodynamics states that &lt;br /&gt;
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热力学第二定律的开尔文-普朗克表述（或称“'''&amp;lt;font color = '#ff8000'&amp;gt;热机表述 Heat Engine Statement&amp;lt;/font&amp;gt;'''”）指出&lt;br /&gt;
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::It is impossible to devise a [[thermodynamic cycle|cyclically]] operating device, the sole effect of which is to absorb energy in the form of heat from a single [[heat reservoir|thermal reservoir]] and to deliver an equivalent amount of [[Work (physics)|work]].&amp;lt;ref name=&amp;quot;Rao&amp;quot;&amp;gt;{{cite book|last=Rao|first=Y. V. C.|title=Chemical Engineering Thermodynamics|publisher=Universities Press|isbn=978-81-7371-048-3|page=158|year=1997}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to devise a cyclically operating device, the sole effect of which is to absorb energy in the form of heat from a single thermal reservoir and to deliver an equivalent amount of work.&lt;br /&gt;
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设计一种唯一效果是从单一热源吸收热并提供等量的功的循环运行装置是不可能的。&lt;br /&gt;
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===Planck's statement 普朗克表述===&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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普朗克表述第二定律如下。&lt;br /&gt;
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::Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&amp;lt;ref name=&amp;quot;Planck 100&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 100.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Planck 463&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 463, translation by Uffink, J. (2003), p. 131.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roberts &amp;amp; Miller 382&amp;quot;&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 382. This source is partly verbatim from Planck's statement, but does not cite Planck. This source calls the statement the principle of the increase of entropy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&lt;br /&gt;
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自然界中发生的任一过程都是沿参与其中的所有物体的熵之和增加的方向进行的。在极限情况中，即对于可逆过程，熵的总和保持不变。&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for ''irreversible phenomena''.&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for irreversible phenomena.&lt;br /&gt;
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与普朗克表述非常相似的是'''&amp;lt;font color = '#ff8000'&amp;gt;乌伦贝克 Uhlenbeck&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;福特 Ford&amp;lt;/font&amp;gt;'''关于不可逆现象的表述。&lt;br /&gt;
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::... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&amp;lt;ref&amp;gt;[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963), p. 16.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&lt;br /&gt;
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……在从一个平衡态到另一个平衡态的不可逆或自发的变化中（例如，当两个物体 A 和 B 接触时的温度平衡过程），熵总是增加。&lt;br /&gt;
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===Principle of Carathéodory 卡拉西奥多里原理===&lt;br /&gt;
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&amp;lt;!-- [[Caratheodory's principle]] redirects here --&amp;gt;&lt;br /&gt;
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&amp;lt;!-- Caratheodory's principle redirects here --&amp;gt;&lt;br /&gt;
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—— caratheodory 的原理在这里重新定向——&lt;br /&gt;
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[[Constantin Carathéodory]] formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&amp;lt;ref&amp;gt;[[Constantin Carathéodory|Carathéodory, C.]] (1909).&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Constantin Carathéodory formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;康斯坦丁·卡拉西奥多里 Constantin Carathéodory&amp;lt;/font&amp;gt;'''在纯数学公理的基础上进行了热力学'''&amp;lt;font color = '#ff8000'&amp;gt;公理化formulated&amp;lt;/font&amp;gt;'''阐明。他对第二定律的陈述被称为'''&amp;lt;font color = '#ff8000'&amp;gt;卡拉西奥多里原理 Principle of Carathéodory&amp;lt;/font&amp;gt;'''，可以这样表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 68.&amp;lt;/ref&amp;gt;&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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在绝热封闭系统的任意状态 S 附近，总有从 S 出发不可达的状态。&lt;br /&gt;
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With this formulation, he described the concept of [[adiabatic accessibility]] for the first time and provided the foundation for a new subfield of classical thermodynamics, often called [[Ruppeiner geometry|geometrical thermodynamics]]. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic [[process function]], in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;Sychev1991&amp;quot;&amp;gt;{{cite book |last=Sychev |first=V. V. |title=The Differential Equations of Thermodynamics |year=1991 |publisher=Taylor &amp;amp; Francis |isbn=978-1-56032-121-7}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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With this formulation, he described the concept of adiabatic accessibility for the first time and provided the foundation for a new subfield of classical thermodynamics, often called geometrical thermodynamics. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic process function, in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;. &lt;br /&gt;
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通过这个阐明，他首次描述了'''&amp;lt;font color = '#ff8000'&amp;gt;绝热可达性 Adiabatic Accessibility&amp;lt;/font&amp;gt;'''的概念，并为经典热力学的一个新的子领域，即通常所说的'''&amp;lt;font color = '#ff8000'&amp;gt;几何热力学  Geometrical Thermodynamics&amp;lt;/font&amp;gt;'''&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;奠定了基础&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;。由卡拉西奥多里原理可以推出，作为热的能量的准静态转移是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数holonomic process function&amp;lt;/font&amp;gt;'''即&amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）准静态转移的热量值是一个可积过程函数 存疑&lt;br /&gt;
 --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）本句的修改供讨论。可积函数的英文应该是Integrable function。但是什么是完整的函数存疑，是连续的函数？&lt;br /&gt;
 --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）这里建议标注一下'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数 holonomic process function&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）奠定了基础为何要删????????????????????????????????????????&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;&amp;gt;Münster, A. (1970), p. 45.&amp;lt;/ref&amp;gt;{{sfnp|Lieb|Yngvason|1999|p=49}}&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 69.&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium. &lt;br /&gt;
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尽管在教科书几乎惯称卡拉西奥多里原理也是第二定律的一种表述，并认为其与克劳修斯表述或开尔文-普朗克表述等价，但事实并非如此。为了得到第二定律的所有内容，需要对卡拉西奥多里原理补充普朗克表述，即等量功总是增加一个最初处于自身内部热力学平衡的封闭系统的内部能量。&lt;br /&gt;
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===Planck's principle 普朗克原理===&lt;br /&gt;
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In 1926, [[Max Planck]] wrote an important paper on the basics of thermodynamics.&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Uffink, J. (2003), pp. 129–132.&amp;lt;/ref&amp;gt; He indicated the principle&lt;br /&gt;
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In 1926, Max Planck wrote an important paper on the basics of thermodynamics. He indicated the principle&lt;br /&gt;
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1926年，'''&amp;lt;font color = '#ff8000'&amp;gt;马克斯·普朗克 Max Planck&amp;lt;/font&amp;gt;'''写了一篇关于热力学基础的重要论文。他指出了以下原理&lt;br /&gt;
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::The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt;{{sfnp |Lieb|Yngvason|1999|p=49}}&lt;br /&gt;
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The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&lt;br /&gt;
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一个封闭系统的内部能量因绝热过程增加，在整个过程中，系统的体积保持不变。&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot;&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]], Muncaster, R.G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 15.&amp;lt;/ref&amp;gt; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 81.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 457, Wikipedia editor's translation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&lt;br /&gt;
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这个公式没有提到热，没有提到温度，甚至没有提到熵，也不一定隐含地依赖于这些概念，但它暗示了第二定律的内容。一个密切相关的表述为，“摩擦力从来不做正功。”普朗克写道: “摩擦生热是不可逆的。”&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 149.&amp;lt;/ref&amp;gt; It is relevant that for a system at constant volume and [[Mole (unit)|mole numbers]], the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above. It is relevant that for a system at constant volume and mole numbers, the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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这个普朗克定理没有提到熵，是用物理术语来表述的。它与上面给出的开尔文表述密切相关。相关的是，对于恒定体积和摩尔数的系统，熵是内能的单调函数。然而，普朗克的这个原理实际上并不是普朗克对第二定律的首选表述（见前面小节），而是依赖于熵的概念。&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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Borgnakke 和 Sonntag 提出的以下表述在某种意义上是对普朗克原理的补充。他们没有将其作为第二定律的完整表述:&lt;br /&gt;
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::... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&amp;lt;ref&amp;gt;Borgnakke, C., Sonntag., R.E. (2009), p. 304.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&lt;br /&gt;
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……只有一种方法可以减少（封闭）系统的熵，将热从系统中转移出去。&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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与普朗克之前提出的原理不同，这一原理明确地用熵的变化来表示。从系统中去除物质也可以减少系统的熵。&lt;br /&gt;
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===Statement for a system that has a known expression of its internal energy as a function of its extensive state variables 一个其内能有已知表达式（其扩展状态变量的函数）的系统的表述===&lt;br /&gt;
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The second law has been shown to be equivalent to the [[internal energy]] ''U'' being a weakly [[convex function]], when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;ref&amp;gt;{{cite book |last1=van Gool |first1=W. |last2=Bruggink |first2=J.J.C. (Eds) |url= |title=Energy and time in the economic and physical sciences |publisher=North-Holland |year=1985 |pages=41–56 |quote= |isbn=978-0-444-87748-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Grubbström | first1 = Robert W. | doi = 10.1016/j.apenergy.2007.01.003 | title = An Attempt to Introduce Dynamics Into Generalised Exergy Considerations| journal = Applied Energy| volume = 84| issue = 7–8 | pages = 701–718 | year = 2007}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...). &lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;写成广泛性质（质量，体积，熵……）的函数时，第二定律被证明等价于弱凸函数内能 U。The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Corollaries 推论==&lt;br /&gt;
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===Perpetual motion of the second kind 第二类永动机===&lt;br /&gt;
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{{main article|Perpetual motion}}&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of [[first law of thermodynamics]] by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of first law of thermodynamics by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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在第二定律建立之前，许多志在发明永动机的人试图通过提取环境的巨大内能作为机器动力，以突破'''热力学第一定律 First Law of Thermodynamics''' 的限制。这种机器被称为“'''第二类永动机 Perpetual Motion Machine of the Second Kind'''”。热力学第二定律表明这种机器是不可能的。&lt;br /&gt;
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===Carnot theorem 卡诺定理===&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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Carnot's theorem (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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'''卡诺定理 Carnot's Theorem'''（1824）是一条限制任何可能的热机的最大效率的原理。效率完全取决于热源中热和冷之间的温差。 卡诺定理指出:&lt;br /&gt;
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*All irreversible heat engines between two heat reservoirs are less efficient than a [[Carnot engine]] operating between the same reservoirs.&lt;br /&gt;
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*All reversible heat engines between two heat reservoirs are equally efficient with a Carnot engine operating between the same reservoirs.&lt;br /&gt;
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* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;不可逆热机的效率低于在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机 Carnot Engine&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;可逆热机的效率与在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的卡诺机相等。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）改成同一个正确吗??????????????????????????&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as [[thermodynamic reversibility]]. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the [[Carnot cycle]]'s reversibility and was condemned to be less efficient.&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as thermodynamic reversibility. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the Carnot cycle's reversibility and was condemned to be less efficient.&lt;br /&gt;
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在他的理想模型中，热转化为功的过程可以通过逆转循环的运动而恢复，这个概念后来被称为'''&amp;lt;font color = '#ff8000'&amp;gt;热力学可逆性 Thermodynamic Reversibility&amp;lt;/font&amp;gt;'''。然而，卡诺进一步假定，一些热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;损失了，并没有转化为机械功。因此，没有一个真实的热机能够实现'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺循环 Carnot Cycle&amp;lt;/font&amp;gt;'''的可逆性，并且被认为效率较低。&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete [[caloric theory]]), rather than [[entropy]], this was an early insight into the second law.&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete caloric theory), rather than entropy, this was an early insight into the second law.&lt;br /&gt;
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该理论尽管是用热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;表述的（见被取代的'''&amp;lt;font color = '#ff8000'&amp;gt;热质说&amp;lt;/font&amp;gt;'''），而不是熵，但是它是对第二定律的早期认识。&lt;br /&gt;
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===Clausius inequality 克劳修斯不等式===&lt;br /&gt;
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The [[Clausius theorem]] (1854) states that in a cyclic process&lt;br /&gt;
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The Clausius theorem (1854) states that in a cyclic process&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;克劳修斯定理 Clausius Theorem&amp;lt;/font&amp;gt;'''（1854）指出，在一个循环的过程中&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T} \leq 0.&amp;lt;/math&amp;gt;&lt;br /&gt;
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The equality holds in the reversible case&amp;lt;ref&amp;gt;[http://scienceworld.wolfram.com/physics/ClausiusTheorem.html ''Clausius theorem''] at [[Wolfram Research]]&amp;lt;/ref&amp;gt; and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function [[entropy]]. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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The equality holds in the reversible case and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function entropy. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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等号在可逆情况下成立，严格不等号在不可逆情况下成立。可逆情况下引入状态函数熵。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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  --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）末句存疑&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我也没看懂，按照字面意思修改了一下&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）感觉修改后的句子还是怪怪的，这里标成疑难句吧 '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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===Thermodynamic temperature 热力学温度===&lt;br /&gt;
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{{main article|Thermodynamic temperature}}&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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对于任意热机，效率为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\eta = \frac {W_n}{q_H} = \frac{q_H-q_C}{q_H} = 1 - \frac{q_C}{q_H} \qquad (1)&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; is for the net work done per cycle. Thus the efficiency depends only on q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
其中 ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; 表示每个循环所做的净功。因此效率只取决于 q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Carnot theorem (thermodynamics)|Carnot's theorem]] states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
&lt;br /&gt;
Carnot's theorem states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
&lt;br /&gt;
卡诺定理指出，所有在相同热源间运行的可逆热机的效率是相同的。&lt;br /&gt;
&lt;br /&gt;
Thus, any reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
&lt;br /&gt;
Thus, any reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
&lt;br /&gt;
因此，任何在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;和''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间运行的可逆热机必须具有相同的效率，也就是说，效率只是温度的函数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\frac{q_C}{q_H} = f(T_H,T_C)\qquad (2).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In addition, a reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In addition, a reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; andT&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
&lt;br /&gt;
另外，在温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间工作的可逆热机必须具有与由分别在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和（中间）温度 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间、在 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间的两个循环组成的系统效率相同。只有下式成立才会出现这种情况:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_1,T_3) = \frac{q_3}{q_1} = \frac{q_2 q_3} {q_1 q_2} = f(T_1,T_2)f(T_2,T_3).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the [[triple point]] of water. Then for any ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the triple point of water. Then for any T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
现在考虑如下情形，&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; 是一个固定的参考温度: 水的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''&amp;lt;font color = '#ff8000'&amp;gt;三相点 Triple Point&amp;lt;/font&amp;gt;'''&amp;lt;/font&amp;gt;的温度。则对于任意 T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{f(T_1,T_3)}{f(T_1,T_2)} = \frac{273.16 \cdot f(T_1,T_3)}{273.16 \cdot f(T_1,T_2)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
因此，如果热力学温度被定义为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;T = 273.16 \cdot f(T_1,T) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
then the function ''f'', viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
then the function f, viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
那么函数 ''f'' 作为热力学温度的函数，为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{T_3}{T_2},&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
and the reference temperature ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used{{snd}}the choice here corresponds to the [[Kelvin]] scale.)&lt;br /&gt;
&lt;br /&gt;
and the reference temperature T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used the choice here corresponds to the Kelvin scale.)&lt;br /&gt;
&lt;br /&gt;
参考温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 的值为273.16。（任何参考温度和任何正值均可用——此处的选择对应开尔文标度。）&lt;br /&gt;
&lt;br /&gt;
===Entropy 熵===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{main article|Entropy (classical thermodynamics)}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the [[Clausius theorem|Clausius equality]], for a reversible process&lt;br /&gt;
&lt;br /&gt;
According to the Clausius equality, for a reversible process&lt;br /&gt;
&lt;br /&gt;
根据克劳修斯等式，对可逆过程有&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
这意味着线积分 &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; 对于可逆过程是路径无关的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot; /&amp;gt; satisfies&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer satisfies&lt;br /&gt;
&lt;br /&gt;
所以我们可以定义一个叫做熵的状态函数 S，对于可逆过程或者纯热传递满足&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \frac{\delta Q}{T} \!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the [[third law of thermodynamics]], which states that ''S'' = 0 at [[absolute zero]] for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the third law of thermodynamics, which states that S = 0 at absolute zero for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
据此，只有对上述公式进行积分，才能得到熵的差值。为了获得绝对值，我们需要&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第三定律 Third Law of Thermodynamics'''&amp;lt;/font&amp;gt;，它指出&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝对零度 Absolute Zero'''&amp;lt;/font&amp;gt;下完美晶体的 ''S'' = 0。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
对于任意不可逆过程，由于熵是一个状态函数，我们总是可以将初始状态和最终状态与一个虚拟的可逆过程联系起来，并在这条路径上积分以计算熵的差值。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the [[Clausius inequality]] on this loop,&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the Clausius inequality on this loop,&lt;br /&gt;
&lt;br /&gt;
现在把可逆过程逆过来，将其与上述不可逆过程结合。把克劳修斯不等式应用到这个循环,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;-\Delta S+\int\frac{\delta Q}{T}=\oint\frac{\delta Q}{T}&amp;lt; 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
故,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta S \ge \int \frac{\delta Q}{T} \,\!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
如果变换可逆，等号成立。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an [[adiabatic process]], then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an adiabatic process, then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
注意，若该过程是一个&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝热过程 Adiabatic Process'''&amp;lt;/font&amp;gt;，则&amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;，故&amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
能量，可用的有用工作&lt;br /&gt;
&lt;br /&gt;
{{See also|Exergy}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an ''unlimited'' heat reservoir at temperature ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' and pressure ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' {{snd}}so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an unlimited heat reservoir at temperature T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; and pressure P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
考虑将第二定律应用于孤立系统(称为整体系统或宇宙)是一个重要而具有启发性的理想情形。该系统由两部分组成：研究关心的子系统和子系统的周围环境。因为想象的环境非常大，以至于它们可以被视为一个温度为 T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 且压力为 P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 的无限热源，因此无论有多少热被转移到（或来自）子系统，周围的温度将保持T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;；无论子系统的体积膨胀（或收缩）有多大，周围环境的压力都将保持不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Whatever changes to ''dS'' and ''dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy ''S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;'' of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
Whatever changes to dS and dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt; of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
无论子系统和周围环境单独地发生什么熵的变化 ''dS''和dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;&amp;lt;/font&amp;gt;，根据第二定律，孤立总体系统的熵S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;不能减小。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the [[first law of thermodynamics]], the change ''dU'' in the internal energy of the sub-system is the sum of the heat ''δq'' added to the sub-system, ''less'' any work ''δw'' done ''by'' the sub-system, ''plus'' any net chemical energy entering the sub-system ''d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;'', so that:&lt;br /&gt;
&lt;br /&gt;
According to the first law of thermodynamics, the change dU in the internal energy of the sub-system is the sum of the heat δq added to the sub-system, less any work δw done by the sub-system, plus any net chemical energy entering the sub-system d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, so that:&lt;br /&gt;
&lt;br /&gt;
根据热力学第一定律，子系统内能的变化 dU 是加在子系统上的热δq的和&amp;lt;font color = 'blue'&amp;gt;&amp;lt;/font&amp;gt;，减去子系统所做的任何功w，再加上进入子系统的任何净化学能 d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;，因此&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the [[chemical potential]]s of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the chemical potentials of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
其中μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;是外部环境中'''&amp;lt;font color = '#ff8000'&amp;gt;化学形态 chemical species&amp;lt;/font&amp;gt;'''的化学势。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
现在热量离开热源进入子系统是&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学△ qtr (- dS r) le tr dS / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
在这个过程中，首先使用了经典热力学中熵的定义(在统计热力学中，熵变、温度和吸收热量之间的关系'''&amp;lt;font color = '#32CD32'&amp;gt;可以将其推导出来 can be derived&amp;lt;/font&amp;gt;''') ，然后从上面的公式可以推导出第二定律的不等式。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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It therefore follows that any net work ''δw'' done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work δw done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
因此，子系统所做的任何净功δw必须服从&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学增量 w  le-dU + tds + sum  mu { iR } dN i，/ math&lt;br /&gt;
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&lt;br /&gt;
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It is useful to separate the work ''δw'' done by the subsystem into the ''useful'' work ''δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt;'' that can be done ''by'' the sub-system, over and beyond the work ''p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV'' done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work δw done by the subsystem into the useful work δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; that can be done by the sub-system, over and beyond the work p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
将子系统所做的功δw划分为子系统可以完成的有用功δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; ，除了子系统在周围外部压力下膨胀所做的功p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV外，给出以下可用功（'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''）关系式:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the ''availability'' or ''[[exergy]]'' ''E'' of the subsystem,&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the availability or exergy E of the subsystem,&lt;br /&gt;
&lt;br /&gt;
为方便起见，可以把右边定义为热力学势的精确导数，称为子系统的'''&amp;lt;font color = 'ff8000'&amp;gt;可用性 Availability &amp;lt;/font&amp;gt;'''或'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;因此，第二定律意味着，对于任何可以简单地被视为分为一个子系统和一个与之接触的无限温度和压力&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;储存器&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt; '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;热源 Reservoir&amp;lt;/font&amp;gt;''' 的过程，The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done ''by'' the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done ''on'' the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done by the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done on the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
也就是。子系统有用能的变化加上子系统所做的有用功(或者，子系统有用能的变化减去除了'''&amp;lt;font color = '#ff8000'&amp;gt;压力热源&amp;lt;/font&amp;gt;'''外任何对系统做的功&amp;lt;/font&amp;gt;)必须小于或等于零。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper ''infinite-reservoir-like'' reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in ''E'' for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper infinite-reservoir-like reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in E for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
总之，如果选择一个合适的类似于无限库的参考状态作为现实世界中的系统环境，&lt;br /&gt;
则第二定律预测不可逆过程的''E''值减少，可逆过程的''E''值不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This expression together with the associated reference state permits a [[design engineer]] working at the macroscopic scale (above the [[thermodynamic limit]]) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (''Also, see [[process engineer]]''). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (''See [[Exergy efficiency|second law efficiency]]''.)&lt;br /&gt;
&lt;br /&gt;
This expression together with the associated reference state permits a design engineer working at the macroscopic scale (above the thermodynamic limit) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (Also, see process engineer). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (See second law efficiency.)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这个表达式和相关的参考状态允许设计工程师在宏观尺度（高于热力学极限）下使用第二定律，而无需直接测量或考虑整个孤立系统中的熵变。（另见'''&amp;lt;font color = '#ff8000'&amp;gt;工艺工程师process engineer&amp;lt;/font&amp;gt;'''）。这些变化已经在假设中被考虑到，该假设认为所考虑的系统可以在不改变参考状态的情况下与参考状态达到平衡。将其与可逆理想&amp;lt;font color = 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;进行比较，还可以找到一个过程或过程集合的效率（见'''&amp;lt;font color = '#ff8000'&amp;gt;第二定律效率second law efficiency&amp;lt;/font&amp;gt;'''）&lt;br /&gt;
&lt;br /&gt;
This approach to the Second Law is widely utilized in [[engineering]] practice, [[environmental accounting]], [[systems ecology]], and other disciplines.&lt;br /&gt;
&lt;br /&gt;
This approach to the Second Law is widely utilized in engineering practice, environmental accounting, systems ecology, and other disciplines.&lt;br /&gt;
&lt;br /&gt;
第二定律的这种方法被广泛应用于'''&amp;lt;font color = '#ff8000'&amp;gt;工程实践engineering practice&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;环境会计environmental accounting&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;系统生态学systems ecology&amp;lt;/font&amp;gt;'''等其他学科。&lt;br /&gt;
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===The second law in chemical thermodynamics===&lt;br /&gt;
&lt;br /&gt;
化学热力学的第二定律&lt;br /&gt;
&lt;br /&gt;
For a [[spontaneous process|spontaneous chemical process]] in a closed system at constant temperature and pressure without non-''PV'' work, the Clausius inequality Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;'' transforms into a condition for the change in [[Gibbs free energy]] &lt;br /&gt;
&lt;br /&gt;
For a spontaneous chemical process in a closed system at constant temperature and pressure without non-PV work, the Clausius inequality ΔS &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt; transforms into a condition for the change in Gibbs free energy &lt;br /&gt;
&lt;br /&gt;
对于一个&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;封闭系统中的自发化学过程，在没有 non-PV 功的情况下，克劳修斯不等式Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;''由于'''&amp;lt;font color = '#ff8000'&amp;gt;吉布斯自由能Gibbs free energy&amp;lt;/font&amp;gt;'''的变化而转化为：&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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or d''G'' &amp;lt; 0. For a similar process at constant temperature and volume, the change in [[Helmholtz free energy]] must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;/&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; The chemical equilibrium condition at constant ''T'' and ''p'' without electrical work is d''G'' = 0.&lt;br /&gt;
&lt;br /&gt;
or dG &amp;lt; 0. For a similar process at constant temperature and volume, the change in Helmholtz free energy must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products. The chemical equilibrium condition at constant T and p without electrical work is dG = 0.&lt;br /&gt;
&lt;br /&gt;
或者 dG &amp;lt; 0。对于一个相似的&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;过程，'''&amp;lt;font color = '#ff8000'&amp;gt;亥姆霍兹自由能 Helmholtz free energy &amp;lt;/font&amp;gt;'''的变化一定是负的， &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;。因此，一个负的自由能(G 或 A)变化是过程自发的必要条件。这是热力学第二定律在化学中最有用的形式，其中自由能的变化可以通过'''&amp;lt;font color = '#ff8000'&amp;gt;表列生成焓 Tabulated Enthalpies of Formation&amp;lt;/font&amp;gt;'''和反应物及产物的标准摩尔熵来计算。在温度和压力&amp;lt;/font&amp;gt;不变的情况下，化学平衡条件是 dG = 0。&lt;br /&gt;
&lt;br /&gt;
  -- [[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） tabulated enthalpies of formation 表列生成焓？？&lt;br /&gt;
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==History==&lt;br /&gt;
&lt;br /&gt;
历史&lt;br /&gt;
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{{See also|History of entropy}}&lt;br /&gt;
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[[File:Sadi Carnot.jpeg|thumb|upright|Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique]].]]&lt;br /&gt;
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Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique.]]&lt;br /&gt;
&lt;br /&gt;
尼古拉·莱昂纳尔·萨迪·卡诺穿着传统的巴黎综合理工学院制服&lt;br /&gt;
&lt;br /&gt;
The first theory of the conversion of heat into mechanical work is due to [[Nicolas Léonard Sadi Carnot]] in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
&lt;br /&gt;
The first theory of the conversion of heat into mechanical work is due to Nicolas Léonard Sadi Carnot in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
&lt;br /&gt;
卡诺在1824年提出热转化为机械功的第一个理论。他是第一个正确认识到了转换效率取决于发动机和环境之间的温差的人。&lt;br /&gt;
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Recognizing the significance of [[James Prescott Joule]]'s work on the conservation of energy, [[Rudolf Clausius]] was the first to formulate the second law during 1850, in this form: heat does not flow ''spontaneously'' from cold to hot bodies. While common knowledge now, this was contrary to the [[caloric theory]] of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
&lt;br /&gt;
Recognizing the significance of James Prescott Joule's work on the conservation of energy, Rudolf Clausius was the first to formulate the second law during 1850, in this form: heat does not flow spontaneously from cold to hot bodies. While common knowledge now, this was contrary to the caloric theory of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''认识到'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;焦耳James Prescott Joule&amp;lt;/font&amp;gt;'''在能量守恒方面工作的重要性后，在1850年提出了第二定律的第一个公式，在这个公式中: 热不会自发地从冷物体流向热物体。虽然现在这是常识，但是这与当时流行的热理论相反，当时的热理论认为热是一种流体。从这些他推断出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 萨迪卡诺定律the principle of Sadi Carnot&amp;lt;/font&amp;gt;'''和熵的定义(1865年)。&lt;br /&gt;
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Established during the 19th century, the [[Kelvin-Planck statement|Kelvin-Planck statement of the Second Law]] says, &amp;quot;It is impossible for any device that operates on a [[cyclic process|cycle]] to receive heat from a single [[heat reservoir|reservoir]] and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
&lt;br /&gt;
Established during the 19th century, the Kelvin-Planck statement of the Second Law says, &amp;quot;It is impossible for any device that operates on a cycle to receive heat from a single reservoir and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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19世纪提出的开尔文-普朗克第二陈述(Kelvin-Planck)表示：“任何循环运行的设备都不可能从单个热源接收热并产生净功。”这被证明与克劳修斯的陈述等价。&lt;br /&gt;
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The [[ergodic hypothesis]] is also important for the [[Boltzmann]] approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
&lt;br /&gt;
The ergodic hypothesis is also important for the Boltzmann approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;遍历假设ergodic hypothesis&amp;lt;/font&amp;gt;'''对'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼方法Boltzmann approach&amp;lt;/font&amp;gt;'''也很重要。遍历假设认为在很长一段时间内，在具有相同能量的微观态相空间的某些区域所花费的时间与这个区域的体积成正比，即在很长一段时间内，所有可访问的微观状态出现/成立的可能性都是一样的。等价于说，&amp;lt;/font&amp;gt;它表明时间平均值和统计集合的平均值是相同的。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 觉得加上出现/成立好一点？&lt;br /&gt;
&lt;br /&gt;
There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a [[Macroscopic bodies|macroscopic system]]. This doctrine is obsolescent.&amp;lt;ref&amp;gt;Denbigh, K.G., Denbigh, J.S. (1985). ''Entropy in Relation to Incomplete Knowledge'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-25677-1}}, pp. 43–44.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Grandy, W.T., Jr (2008). ''Entropy and the Time Evolution of Macroscopic Systems'', Oxford University Press, Oxford, {{ISBN|978-0-19-954617-6}}, pp. 55–58.&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lambert&amp;gt;[http://entropysite.oxy.edu Entropy Sites — A Guide] Content selected by [[Frank L. Lambert]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a macroscopic system. This doctrine is obsolescent.&lt;br /&gt;
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克劳修斯还提出了一种传统的学说，他认为熵可以被理解为宏观系统中的'''&amp;lt;font color = '#ff8000'&amp;gt;分子“无序”molecular 'disorder'&amp;lt;/font&amp;gt;'''，但这种学说已经过时了。&lt;br /&gt;
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===Account given by Clausius===&lt;br /&gt;
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作者: 克劳修斯&lt;br /&gt;
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[[File:Clausius-1.jpg|thumb|upright|Rudolf Clausius]]&lt;br /&gt;
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Rudolf Clausius&lt;br /&gt;
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鲁道夫 · 克劳修斯&lt;br /&gt;
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In 1856, the German physicist [[Rudolf Clausius]] stated what he called the &amp;quot;second fundamental theorem in the [[mechanical theory of heat]]&amp;quot; in the following form:{{sfnp|Clausius|1867}}&lt;br /&gt;
&lt;br /&gt;
In 1856, the German physicist Rudolf Clausius stated what he called the &amp;quot;second fundamental theorem in the mechanical theory of heat&amp;quot; in the following form:&lt;br /&gt;
&lt;br /&gt;
1856年，德国物理学家'''&amp;lt;font color = '#ff8000'&amp;gt;鲁道夫 • 克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''阐述了他所谓的“热力学理论中的第二个基本定理second fundamental theorem in the mechanical theory of heat” ，其形式如下:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''Q'' is heat, ''T'' is temperature and ''N'' is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
&lt;br /&gt;
where Q is heat, T is temperature and N is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
&lt;br /&gt;
其中 Q 是热，T 是温度，N 是一个循环过程中所有非补偿的相变的“等价值”。后来在1865年，克劳修斯将“等价值”定义为熵。基于这个理论，同一年，第二定律最著名的版本在4月24日苏黎世哲学学会的一次演讲中被提出，在演讲的最后克劳修斯总结道:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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宇宙的熵趋于最大&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. [[universe]], as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
&lt;br /&gt;
This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. universe, as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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这句话是第二定律最著名的陈述。由于其语言松散模糊，如“宇宙universe”，和缺乏具体的条件，如“开放open”，“封闭closed”，或“孤立isolated”，许多人认为这一简单的陈述意味着热力学第二定律几乎适用于每一个可以想象的主题。这不是真的；这句话只是一个更广泛和更精确的描述的简化版本。&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an [[isolated system]] undergoing an arbitrary transformation is:&lt;br /&gt;
&lt;br /&gt;
In terms of time variation, the mathematical statement of the second law for an isolated system undergoing an arbitrary transformation is:&lt;br /&gt;
&lt;br /&gt;
就时间变化而言，&amp;lt;font color = 'blue'&amp;gt;一个&amp;lt;/font&amp;gt;经历任意变换的孤立系统&amp;lt;font color = 'blue'&amp;gt;的&amp;lt;/font&amp;gt;第二定律的数学表述是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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where&lt;br /&gt;
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where&lt;br /&gt;
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这里''S'' 是系统的熵&lt;br /&gt;
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: ''S'' is the entropy of the system and&lt;br /&gt;
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 S is the entropy of the system and&lt;br /&gt;
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: ''t'' is [[time]].&lt;br /&gt;
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 t is time.&lt;br /&gt;
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T是时间&lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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!-- 可逆过程需要与周围环境保持平衡。这对于一个孤立的系统是不可能的。因此，关于可逆过程的讨论已经转移到对封闭系统的分析----&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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平衡后用等号。另一种表述孤立系统第二定律的方法是：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of [[entropy production]] by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of entropy production by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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用&amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt;表示系统内所有进程'''&amp;lt;font color = '#ff8000'&amp;gt;熵产生Entropy Production&amp;lt;/font&amp;gt;'''的速率之和。这个公式的优点是它显示了熵产生的效果。熵产生率是一个非常重要的概念，因为它决定（或限制）热机的效率。乘以环境温度&amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt;，它给出所谓的耗散能&amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;。&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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封闭系统的第二定律(允许热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;交换和移动边界，但不允许物质交换)的表达式是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here&lt;br /&gt;
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Here&lt;br /&gt;
这里&lt;br /&gt;
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: &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; 是进入系统的热流。&lt;br /&gt;
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: &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
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 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; 是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;进入系统时的温度。&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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只有在系统内发生可逆过程的情况下等号才成立&amp;lt;/font&amp;gt;如果发生不可逆过程（在实际操作系统中就是这种情况）,则“＞”成立。如果系统有多处供热，必须求相应项的代数和。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 因为是中文环境所以统一用中文标点&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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对于开放系统(也允许物质交换) :&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
&lt;br /&gt;
Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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这里&amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; 是进入系统的熵流，与进入系统的物质流有关。它不应该与熵的时间导数混淆。如果物质在几个地方被供给，需要取这些贡献的代数和。&lt;br /&gt;
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==Statistical mechanics==&lt;br /&gt;
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统计力学&lt;br /&gt;
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[[Statistical mechanics]] gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a [[microstate (statistical mechanics)|microstate]] of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where ''N'' is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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Statistical mechanics gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a microstate of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where N is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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统计力学通过假设物质是由不断运动的原子和分子组成的，来对第二定律给出了解释。系统中每个粒子的一组特定的位置和速度称为系统的微观状态，由于系统的不断运动，系统不断地改变其微观状态。统计力学假设，在平衡状态下，系统处于&amp;lt;s&amp;gt;的&amp;lt;/s&amp;gt;每个微观状态的可能性是相等的。这个假设的提出直接导致第二定律必须子啊统计学意义上成立&amp;lt;/font&amp;gt;也就是说，第二定律在平均意义上成立，其中统计学变异取决于数量级1/{{radic|''N''}}，其中 N 是系统中粒子数&amp;lt;/font&amp;gt;。在日常(宏观)情况下，违反第二定律的概率几乎为零。然而，对于粒子数量很少的系统，热力学参数，包括熵，可能显示出与第二定律预测结果的显著的统计偏差。经典热力学理论不处理这些统计变量。&lt;br /&gt;
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（by Jie XIANG) 在通过假定一种物质由不断运动的原子和分子组成的前提下，统计力学对热力学第二定律进行了解释。系统中每个粒子其特定的位置和速度组成为系统的微观状态，由于（原子和分子的）不断运动，系统也持续改变其微观状态。统计力学假设，在系统力平衡的情况下，其微观状态其实是等可能发生的，进而能够得出结论：热力学第二定律必须在统计学意义上成立。也就是说，第二定律将保持均值不变， 其统计变化为1 /√N，N为系统中的粒子数。在日常(宏观)情况下，违反热力学第二定律的概率几乎为零，但是，对于粒子数量非常少的系统，其热力学参数（包括熵）可能会显示出与第二定律所预测的明显统计偏差。然而经典热力学理论并不处理这些统计变量。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 为什么会有两个？迷茫。&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）是不是两个译者翻译的？如果第二段翻译不用，可以括号或删除线标一下&lt;br /&gt;
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==Derivation from statistical mechanics==&lt;br /&gt;
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从统计力学导出&lt;br /&gt;
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{{Further information|H-theorem}}&lt;br /&gt;
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The first mechanical argument of the [[Kinetic theory of gases]] that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to [[James Clerk Maxwell]] in 1860;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Gyenis | first1 = Balazs | doi = 10.1016/j.shpsb.2017.01.001 | title = Maxwell and the normal distribution: A colored story of probability, independence, and tendency towards equilibrium | journal = Studies in History and Philosophy of Modern Physics | volume = 57 | pages = 53–65 | year = 2017| arxiv = 1702.01411 | bibcode = 2017SHPMP..57...53G }}&amp;lt;/ref&amp;gt; [[Ludwig Boltzmann]] with his [[H-theorem]] of 1872 also argued that due to collisions gases should over time tend toward the [[Maxwell–Boltzmann distribution]].&lt;br /&gt;
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The first mechanical argument of the Kinetic theory of gases that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to James Clerk Maxwell in 1860; Ludwig Boltzmann with his H-theorem of 1872 also argued that due to collisions gases should over time tend toward the Maxwell–Boltzmann distribution.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;气体动力学Kinetic theory of gases&amp;lt;/font&amp;gt;'''理论的第一个力学论证由'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦James Clerk Maxwell&amp;lt;/font&amp;gt;'''在1860年给出，指出分子碰撞引起温度均衡化，因此整体趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;平衡 Equilibrium &amp;lt;/font&amp;gt;'''； '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼Ludwig Boltzmann&amp;lt;/font&amp;gt;'''在1872年提出的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; H 定理H-theorem&amp;lt;/font&amp;gt;'''也认为，气体由于碰撞应该随着时间的推移趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦-波兹曼分布Maxwell–Boltzmann distribution&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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Due to [[Loschmidt's paradox]], derivations of the Second Law have to make an assumption regarding the past, namely that the system is [[Correlation and dependence|uncorrelated]] at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a [[boundary condition]], and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the [[Big Bang]]), though [[Boltzmann brain|other scenarios]] have also been suggested.&amp;lt;ref name=&amp;quot;Hawking AOT&amp;quot;&amp;gt;{{cite journal|last=Hawking|first=SW|title=Arrow of time in cosmology|journal=Phys. Rev. D|year=1985|volume=32|issue=10|pages=2489–2495|doi=10.1103/PhysRevD.32.2489|pmid=9956019|bibcode = 1985PhRvD..32.2489H }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last = Greene | first = Brian | authorlink = Brian Greene | title = The Fabric of the Cosmos | url = https://archive.org/details/fabricofcosmossp00gree | url-access = registration | publisher = Alfred A. Knopf | year = 2004 | page = [https://archive.org/details/fabricofcosmossp00gree/page/171 171] | isbn = 978-0-375-41288-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lebowitz&amp;gt;{{cite journal|last=Lebowitz|first=Joel L.|title= Boltzmann's Entropy and Time's Arrow|journal=Physics Today|date=September 1993|volume=46|issue=9|pages=32–38|url=http://users.df.uba.ar/ariel/materias/FT3_2008_1C/papers_pdf/lebowitz_370.pdf|accessdate=2013-02-22|doi=10.1063/1.881363|bibcode = 1993PhT....46i..32L }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Due to Loschmidt's paradox, derivations of the Second Law have to make an assumption regarding the past, namely that the system is uncorrelated at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a boundary condition, and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the Big Bang), though other scenarios have also been suggested.&lt;br /&gt;
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由于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论Loschmidt's paradox&amp;lt;/font&amp;gt;'''，第二定律的导出必须对过去做出一个假设，即系统在过去的某个时刻是不相关的；这样的假设允许进行简单的概率处理。这个假设通常被认为是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边界条件boundary condition&amp;lt;/font&amp;gt;'''，因此热力学第二定律最终是过去某个地方的初始条件的结果，可能是在宇宙的开始('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;大爆炸 the Big Bang&amp;lt;/font&amp;gt;''') ，尽管也有人提出了其他场景。&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the [[Statistical mechanics#Fundamental postulate|fundamental postulate]], also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy.{{citation needed|date=August 2012}} The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the fundamental postulate, also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy. The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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基于这些假设，在统计力学中，第二定律不是一个假设，而是'''统计力学基本假设Statistical mechanics#Fundamental postulate|fundamental postulate'''的一个结果，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;等先验概率假设 equal prior probability postulate&amp;lt;/font&amp;gt;'''。这个基本假设表明，只要一个人清楚地知道，简单的概率论证只适用于未来，而对于过去，有辅助的信息来源告诉我们，它是低熵的。如果我们把熵的概念限制在热平衡系统中，那么热力学第二定律的第一部分即热孤立系统的熵只能增加，是等先验概率假设的一个显然结果。处于热平衡状态的孤立系统且具有能量&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;的熵表示为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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其中&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 是处于 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;E +\delta E&amp;lt;/math这个小区间内的量子态数目。这里的 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 是一个宏观上很小的固定能量区间。严格地说，这意味着熵取决于对&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;的选择。然而在热力学极限下（例如无穷大系统的极限），狭义的熵(单位体积或单位质量的熵)不依赖于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;。&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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假设我们有一个孤立系统，其宏观状态由许多变量指定。这些宏观变量可以是总体积、活塞在系统中的位置等。从而&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;将取决于这些变量的值。如果某个变量不是固定的（我们不会在某个位置夹住活塞) ，那么因为在平衡状态下到达所有可到达状态的可能性是相等的，平衡状态下的自由变量会使 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，因为这是平衡状态下最可能的情况。&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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如果该变量最初固定到某个值然后释放，当达到新的平衡时，变量将自我调整使得 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，这意味着熵将增加或保持不变（如果变量初始固定的值恰好是平衡值）。&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's [[H-theorem]], however, proves that the quantity {{math|''H''}} increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's H-theorem, however, proves that the quantity  increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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假设我们初始位于一个平衡状态，突然移除了对一个变量的约束。我们做完这件事的时候，可达到的微观状态的数为&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;，但是系统还没有达到平衡，所以系统处于某些可达到的状态的实际概率还不等于先验概率 &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;。我们已经知道，最终的平衡状态相对于之前的平衡状态，熵会增加或者保持不变。然而，玻耳兹曼的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;H定理H-theorem&amp;lt;/font&amp;gt;'''证明系统在不处于平衡态的期间，那个量作为时间的函数单调增加。&lt;br /&gt;
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===Derivation of the entropy change for reversible processes===&lt;br /&gt;
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可逆过程熵变的推导&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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热力学第二定律的第二部分指出，经历可逆过程的系统的熵变为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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其中温度定义为:&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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See [[Microcanonical ensemble|here]] for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the [[adiabatic theorem]] of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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See here for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the adiabatic theorem of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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请参阅'''此处Microcanonical ensemble|here'''查看该定义的正当性。假设系统有一些可以改变的外部参数 x。一般来说，系统的能量本征态将依赖于 x。根据量子力学的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;绝热定理adiabatic theorem&amp;lt;/font&amp;gt;'''，在系统哈密顿量无限缓慢变化的极限下，系统将保持在相同的'''&amp;lt;font color = '#ff8000'&amp;gt;能量本征态 energy eigenstate&amp;lt;/font&amp;gt;'''，因此系统的能量会随着其所在能量本征态的能量变化而变化。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能量本征态 不懂翻译是否正确&lt;br /&gt;
  --[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)我觉得是这样的--[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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对于外部变量 x 可以定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;广义力generalized force&amp;lt;/font&amp;gt;''' X ，因此如果 x 增加 dx，那么&amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; 就是系统所做的功。例如，如果 x 是体积，那么 X 就是压强。一个已知处于能量本征态&amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt;的系统的广义力为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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由于系统可以在&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 区间内的任意能量本征态内，我们将系统的广义力定义为上述表达式的期望值:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
&lt;br /&gt;
为了计算平均值，我们按照能量本征态来划分&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt;，通过计算有多少能量本征态的&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;值在区间在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;之间。把这个数字叫做为 &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;，我们有:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The average defining the generalized force can now be written:&lt;br /&gt;
&lt;br /&gt;
The average defining the generalized force can now be written:&lt;br /&gt;
&lt;br /&gt;
根据平均值定义的广义力现在可以写成:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
&lt;br /&gt;
We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
&lt;br /&gt;
我们可以把它和由恒定能量 E 下的 x 导出来的熵联系起来。假定我们把 x 改变至 x + dx。然后因为能量本征态依赖于 x，  &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 将会改变，这导致能量本征态进入或超出&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; 之间的范围。让我们再次关注&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; 处于 &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt; 之间的能量本征态。由于这些能量本征态的能量增加了 Y dx，所有这些在 E-Y dx 到 E 之间能量本征态都从 E 以下移动到 E 以上。 因此有&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
&lt;br /&gt;
such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
&lt;br /&gt;
这些的能量本征态。如果&amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;，则所有这些能量本征态将移动到 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;的范围内，使得&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增加。从&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上的能量本征态数目为 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;。它们的差&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
因此是 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增长的净贡献。请注意如果 Y dx 大于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;，那么将会有能量本征态从 E 以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上。它们在&amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;中都有计数，因此上述表达式在这种情况下也是有效的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
&lt;br /&gt;
Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
&lt;br /&gt;
将上面的表达式表示为对 E 的导数，并且对 Y 求和得到表达式:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;的对数关于x的导数由以下方式给出:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
第一项是集约型的，即它不能根据系统大小进行缩放。相反，最后一项跟随逆系统的大小而缩放，因此将在热力学极限中消失。因此我们发现:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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Combining this with&lt;br /&gt;
&lt;br /&gt;
Combining this with&lt;br /&gt;
&lt;br /&gt;
将这个和下面式子结合&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Gives:&lt;br /&gt;
&lt;br /&gt;
Gives:&lt;br /&gt;
&lt;br /&gt;
给出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Derivation for systems described by the canonical ensemble===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
正则系综系统的推导&lt;br /&gt;
&lt;br /&gt;
If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the [[canonical ensemble]]:&lt;br /&gt;
&lt;br /&gt;
If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the canonical ensemble:&lt;br /&gt;
&lt;br /&gt;
如果一个系统与某个温度为T的热浴热接触，那么在平衡状态下，关于能量本征值的概率分布值由'''&amp;lt;font color = '#ff8000'&amp;gt;正则系综canonical ensemble&amp;lt;/font&amp;gt;'''给出:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the [[Partition function (statistical mechanics)|partition function]]. We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the partition function. &amp;lt;font color = 'red'&amp;gt;We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. &amp;lt;/font&amp;gt;It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
这里 Z 是一个使所有概率之和归一化到 1 的因子，这个函数被称为'''&amp;lt;font color = '#ff8000'&amp;gt;配分函数Partition function (statistical mechanics)|partition function&amp;lt;/font&amp;gt;'''。现在我们考虑对温度和能级所依赖的外部参数的无限小的可逆改变。它遵循熵的一般公式:&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能级依赖温度吗？即“现在我们考虑……的可逆改变”当中，“on which the energy levels depend”修饰（1）in the external parameters，还是（2）in the temperature and in the external parameters&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）修饰in the external parameters&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
that&lt;br /&gt;
&lt;br /&gt;
that&lt;br /&gt;
&lt;br /&gt;
以及&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
&lt;br /&gt;
Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
&lt;br /&gt;
把正则系综的数学形式 &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; 插入，可以得到:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Living organisms==&lt;br /&gt;
&lt;br /&gt;
==Living organisms==&lt;br /&gt;
&lt;br /&gt;
生命体&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as [[What is Life?|Erwin Schrödinger]], [[Léon Brillouin]]&amp;lt;ref&amp;gt;Léon Brillouin [https://books.google.com/books?hl=en&amp;amp;lr=&amp;amp;id=tPXVbiw_1P0C ''Science and Information Theory''] (Academic Press, 1962) (Dover, 2004)&amp;lt;/ref&amp;gt; and [[Life and Energy|Isaac Asimov]]. It is also the topic of current{{When|date=July 2019}} research.{{Citation needed|date=July 2019}}&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as Erwin Schrödinger, Léon Brillouin and Isaac Asimov. It is also the topic of current research.&lt;br /&gt;
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表述热力学主要有两种方式：(a)描述从一种热力学平衡状态到另一种状态的路径，(b)通过系统保持不变但周围环境的总熵增加的循环过程。这两种方法有助于理解生命过程。这个话题大大超出了本文的范围，但是已经有一些研究者考虑过这个问题，比如'''&amp;lt;font color = '#ff8000'&amp;gt;薛定谔Erwin Schrödinger&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;布里渊Léon Brillouin&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;阿西莫夫Isaac Asimov&amp;lt;/font&amp;gt;'''。这也是当前研究的主题。&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of [[metabolism]], give out breakdown products and heat. Plants [[Photosynthesis|take in radiative energy]] from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of metabolism, give out breakdown products and heat. Plants take in radiative energy from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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从近似的角度来看，生命体可以被认为是(b)的一个例子。近似地，一只动物的身体状态每天循环，使得它几乎没有什么变化。动物吸收食物、水和氧气，经过'''&amp;lt;font color = '#ff8000'&amp;gt;新陈代谢metabolism&amp;lt;/font&amp;gt;'''，输出分解的产物和热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;。植物吸收来自太阳的辐射能量，这可以认为是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;，以及二氧化碳和水，然后它们释放氧气。它们就是这样生长的。&amp;lt;font color = 'blue'&amp;gt;它们&amp;lt;/font&amp;gt;最终会死亡，尸体腐烂，大部分重新变成二氧化碳和水。这可以看作是一个循环过程。总的来说，阳光来自一个高温的源——太阳，它的能量被传递到一个较低的温度源，即向太空辐射。这个过程使得植物周围环境的熵增加。因此从循环过程的角度来看，动物和植物服从热力学第二定律。简单的热机效率概念很难适用于这个问题，因为它们假定系统是封闭的。&lt;br /&gt;
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From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to [[Non-equilibrium thermodynamics|unsettled current debate or research]]. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to unsettled current debate or research. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
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从(a)的热力学观点考虑，即考虑从一个平衡状态到另一个平衡状态的路径，只会产生一个粗略近似的图像，因为生命体从来不会处于热力学平衡状态。生物体经常必须被认为是开放的系统，因为它们吸收营养物质并排出废弃物。开放系统热力学目前通常从一个热力学平衡状态到另一个状态的路径的角度来考虑，或者是考虑局部热力学平衡近似下的流。生命体的问题可以通过假定一个流不变的稳态的近似来进一步简化。对于这样的近似，目前有很多关于熵产生的一般原理的未解决的争论或研究。尽管如此，从热力学第二定律的这个角度出发衍生出来的想法对生物是有启发意义的。&lt;br /&gt;
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==Gravitational systems==&lt;br /&gt;
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== Gravitational systems 重力系统 ==&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive [[heat capacity]], meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;&amp;gt;Grandy, W.T. (Jr) (2008), p. 151.&amp;lt;/ref&amp;gt; Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive heat capacity, meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it. Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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在不需要对其广义相对论解释的系统中，物体始终具有正热容，这意味着温度随能量而升高。因此，当能量从高温物体流向低温物体时，发射源温度降低而冷源温度升高；因此，温差会随着时间的流逝而减小。对于引力很重要并且需要广义相对论的系统而言，情况并非总是如此。这样的系统可以自发地向质量和能量不均匀的分布转变。这适用于大规模的宇宙，因此可能很难或不可能对它应用第二定律。除此之外，广义相对论描述的系统的热力学超出了本文的范围。&lt;br /&gt;
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==Non-equilibrium states==&lt;br /&gt;
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== Non-equilibrium states 非平衡状态 ==&lt;br /&gt;
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The theory of classical or [[thermodynamic equilibrium|equilibrium thermodynamics]] is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Callen, H.B. (1960/1985), p. 15.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The theory of classical or equilibrium thermodynamics is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&lt;br /&gt;
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经典热力学或平衡热力学理论是理想化的。其主要假定或假设（通常甚至没有明确地陈述），是基于系统处在自身内部的热力学平衡状态。通常，在自然界可能发现的，在给定时间包含物理系统的空间区域，其热力学平衡状态并不是能用最严格的术语来表示。用较宽泛的术语来说，整个宇宙中没有任何东西是或曾经是真正处于精确的热力学平衡状态中。&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of [[thermodynamic equilibrium]]. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable [[thermal fluctuations|fluctuations]]. There is an exception, the case of [[critical point (thermodynamics)|critical states]], which exhibit to the naked eye the phenomenon of [[critical opalescence]]. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of thermodynamic equilibrium. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable fluctuations. There is an exception, the case of critical states, which exhibit to the naked eye the phenomenon of critical opalescence. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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为了进行物理分析，通常做一个热力学平衡的假设就足够方便可行。 这样的假设可能依赖于反复试验和试错来证明其合理性。如果假设是合理的，那么它通常会非常有价值，因为它使热力学理论成为可能。平衡假设的要素是，观察到的系统会无限期地保持不变，并且因为系统中有很多粒子，以至于完全可以忽略其微粒的本质。通常在这种平衡假设下，不存在一个宏观上可检测到的波动。临界状态是一个例外，肉眼可以观察到临界'''&amp;lt;font color = '#ff8000'&amp;gt;乳光现象opalescence&amp;lt;/font&amp;gt;'''。对于临界状态的实验室研究，需要非常长的观察时间。&lt;br /&gt;
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In all cases, the assumption of [[thermodynamic equilibrium]], once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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In all cases, the assumption of thermodynamic equilibrium, once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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在所有情况下，一旦做出了热力学平衡的假设，则作为一个结果意味着假定中的能改变系统熵的候选波动不存在。&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 190.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&lt;br /&gt;
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物理系统很容易发生内部宏观变化，其速度之快足以使熵的恒定性假设失效。或物理系统中的粒子太少，以至于微粒的本质在可观测的波动中显而易见。那么热力学平衡的假设就会被放弃。对于非平衡态，熵没有绝对的通俗定义。&lt;br /&gt;
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There are intermediate cases, in which the assumption of local [[thermodynamic equilibrium]] is a very good approximation,&amp;lt;ref&amp;gt;Gyarmati, I. (1967/1970), pp. 4-14.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Glansdorff, P., Prigogine, I. (1971).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003).&amp;lt;/ref&amp;gt; but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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There are intermediate cases, in which the assumption of local thermodynamic equilibrium is a very good approximation, but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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还有一些中间情况，其中局部热力学平衡的假设是一个非常好的近似，但严格地说它仍然是一个近似值，不是理论上的理想值。&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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对于一般的非平衡状态，考虑其他量的统计力学定义可能是有用的，这些量可以方便地称为“熵”，但是它们不应该与第二定律正确定义的熵混淆或合并。这些其他量确实属于统计力学，而不属于第二定律的主要领域——热力学。&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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宏观上可观察到的波动的物理学超出了本文的范围。&lt;br /&gt;
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==Arrow of time==&lt;br /&gt;
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== Arrow of time 时间之箭 ==&lt;br /&gt;
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时间之箭&lt;br /&gt;
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{{Further information|Entropy (arrow of time)}}Thermodynamic Asymmetry in Time&lt;br /&gt;
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时间中的热力学不对称性&lt;br /&gt;
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{{See also|Arrow of time}}&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with notions that have been observed of the fundamental laws of physics, namely [[CPT symmetry]], since the second law applies statistically, it is hypothesized, on time-asymmetric ''boundary conditions''.&amp;lt;ref&amp;gt;{{cite web|first=Craig|last=Callender|url=https://plato.stanford.edu/archives/fall2011/entries/time-thermo/|title=Thermodynamic Asymmetry in Time|encyclopedia=Stanford Encyclopedia of Philosophy|date=29 July 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with symmetries observed in the fundamental laws of physics (particularly CPT symmetry) since the second law applies statistically on time-asymmetric boundary conditions.[78] The second law has been related to the difference between moving forwards and backwards in time, or to the principle that cause precedes effect (the causal arrow of time, or causality).[79]&lt;br /&gt;
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热力学第二定律是在时间方向上不对称的物理定律。这与在物理学基本定律中观察到的对称性概念（特别是CPT对称性）&amp;lt;s&amp;gt;并&amp;lt;/s&amp;gt;没有冲突，因为第二定律在统计上适用于时间非对称边界条件。第二定律与时间向前和向后移动之间的差异有关，或者与原因先于结果的原理（时间的因果关系或因果关系）有关。&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect ([[Arrow of time#The causal arrow of time|the causal arrow of time]]).&amp;lt;ref&amp;gt;{{cite book | first = J.J.| last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1|display-authors=etal}} chapter 6&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect (the causal arrow of time).&lt;br /&gt;
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第二定律被提出来侧面解释时间向前和向后移动的区别，例如为什么原因先于结果(因果关系的时间箭头)。&lt;br /&gt;
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==Irreversibility==&lt;br /&gt;
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== Irreversibility 不可逆性 ==&lt;br /&gt;
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Irreversibility in [[thermodynamic process]]es is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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Irreversibility in thermodynamic processes is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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热力学过程中的不可逆性是热力学作用不对称特性的结果，而不是物体内部任何不可逆的微观性质的结果。热力学作用是对参与体施加的宏观外部干预，并非来自其内部属性。由于没有认识到这一点，产生了被称为“悖论”的说法。&lt;br /&gt;
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=== Loschmidt's paradox 洛施密特悖论 ===&lt;br /&gt;
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{{main article|Loschmidt's paradox}}&lt;br /&gt;
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[[Loschmidt's paradox]], also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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Loschmidt's paradox, also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论 Loschmidt's paradox&amp;lt;/font&amp;gt;'''，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;可逆性悖论reversibility paradox&amp;lt;/font&amp;gt;'''，它反驳说，从描述宏观系统微观演化的时间对称动力学中，不可能推导出不可逆过程。&lt;br /&gt;
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In the opinion of [[Erwin Schrödinger|Schrödinger]], &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropy{{snd}}or for that matter, all other irreversible statements{{snd}}so that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot;&amp;lt;ref&amp;gt;[[Erwin Schrödinger|Schrödinger, E.]] (1950), p.&amp;amp;nbsp;192.&amp;lt;/ref&amp;gt; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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In the opinion of Schrödinger, &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropyor for that matter, all other irreversible statementsso that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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薛定谔的认为：“现在很明显，您必须以何种方式重新制定熵定律（亦或者所有其他不可逆陈述）以使它们能够从可逆模型中得出。你不能只谈论一个孤立的系统，而应该至少谈论两个。你可以暂时认为它们与世界其它地方是孤立的，但并不总是相互孤立的。”这两个系统被隔离内壁彼此分开，直到被热力学（由热力学定律设想出来的）作用而拆除。热力学作用是从外部施加的，不受支配系统组成部分的可逆微观动力学定律的制约。这是不可逆转的原因。本文中第二定律的陈述符合薛定谔的的建议。 因果关系在逻辑上先于第二定律，而不是由第二定律推导而来。&lt;br /&gt;
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=== Poincaré recurrence theorem 庞加莱始态复现定理 ===&lt;br /&gt;
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{{Main article|Poincaré recurrence theorem}}&lt;br /&gt;
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The [[Poincaré recurrence theorem]] considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics. Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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The Poincaré recurrence theorem considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics.Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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庞加莱始态复现定理考虑了孤立物理系统的理论微观描述。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）又叫递归定理吗？存疑 &lt;br /&gt;
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经过热力学作用去除隔离内壁之后，便可以认为其是热力学系统的模型。在足够长的时间后，系统将返回到非常接近初始状态的微观定义状态。庞加莱复现时间是指回归前经过的时间长度。它极其漫长，可能比宇宙的寿命还要长，并且对那个被热力学作用拆除的内壁的几何形状敏感。复现定理可能被认为是明显与热力学第二定律相矛盾的。但是，更显而易见的是，它只是通过移除两个系统之间的内壁而形成的隔离系统中热力学平衡的微观模型。对所有典型的热力学系统的实际目的，人们无法观察到如此之长的复现时间很长（比宇宙的寿命长很多倍）。尽管如此，还是有人会想像一个机会可以等待庞加莱复现的出现，然后重新插入被热力学作用去除的内壁。然后很明显，不可逆性的出现是由于庞加莱复现完全不可预测的特性，因为仅仅给出了初始状态是热力学平衡之一，就像宏观热力学的情况一样。即使一个人可以等那么长时间，他也没有实际操作的可能性来选择合适的时间重新插入内壁。庞加莱始态复现定理为洛施密特悖论提供了一个解决方案。如果一个孤立的热力学系统能以多倍于平均庞加莱复现时间的长度下被监控，则该系统的热力学行为在时间反转下将变得恒定。&lt;br /&gt;
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[[File:James-clerk-maxwell3.jpg|thumb|upright|James Clerk Maxwell]]&lt;br /&gt;
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James Clerk Maxwell&lt;br /&gt;
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詹姆斯·克拉克·麦克斯韦&lt;br /&gt;
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=== Maxwell's demon 麦克斯韦妖 ===&lt;br /&gt;
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{{unreferenced|section|date=August 2018}}&lt;br /&gt;
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{{main article|Maxwell's demon}}&lt;br /&gt;
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[[James Clerk Maxwell]] imagined one container divided into two parts, ''A'' and ''B''. Both parts are filled with the same [[gas]] at equal temperatures and placed next to each other, separated by a wall. Observing the [[molecule]]s on both sides, an imaginary [[demon]] guards a microscopic trapdoor in the wall. When a faster-than-average molecule from ''A'' flies towards the trapdoor, the demon opens it, and the molecule will fly from ''A'' to ''B''. The average [[speed]] of the molecules in ''B'' will have increased while in ''A'' they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in ''A'' and increases in ''B'', contrary to the second law of thermodynamics.&lt;br /&gt;
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James Clerk Maxwell imagined one container divided into two parts, A and B. Both parts are filled with the same gas at equal temperatures and placed next to each other, separated by a wall. Observing the molecules on both sides, an imaginary demon guards a microscopic trapdoor in the wall. When a faster-than-average molecule from A flies towards the trapdoor, the demon opens it, and the molecule will fly from A to B. The average speed of the molecules in B will have increased while in A they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in A and increases in B, contrary to the second law of thermodynamics.&lt;br /&gt;
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'''麦克斯韦 James Clerk Maxwell'''设想一个容器分为A和B两部分。两部分均在相同温度下充满相同的气体，并彼此相邻由内壁隔开。一个虚构的妖精看守着一个内壁上的微型陷门，并观察者内壁两边的分子。当来自A的速度快于平均水平的分子飞向门时，妖精将门打开，该分子将从A飞向B。B中分子的平均速度将增加，而A中分子的平均速度将降低。由于平均分子速度与温度相对应，因此与热力学第二定律相反，温度在A中降低，在B中升高。&lt;br /&gt;
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One response to this question was suggested in 1929 by [[Leó Szilárd]] and later by [[Léon Brillouin]]. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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One response to this question was suggested in 1929 by Leó Szilárd and later by Léon Brillouin. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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1929年，Leó Szilárd和后来的 Léon Brillouin 对这个问题提出了一个答案。Szilárd指出，现实生活中的麦克斯韦妖需要一些测量分子速度的方法，而获取信息的过程需要消耗能量。&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between ''A'' and ''B''. It is therefore performing [[thermodynamic operation]]s on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between A and B. It is therefore performing thermodynamic operations on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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麦克斯韦的“妖”重复地改变 A 和 B 之间壁的热透性。因此，它是在微观尺度上执行热力学操作，而不仅仅是观察普通的自发或自然的宏观热力学过程。&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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语录&lt;br /&gt;
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{{quote|The law that entropy always increases holds, I think, the supreme position among the [[Laws of science|laws of Nature]]. If someone points out to you that your pet theory of the [[universe]] is in disagreement with [[Maxwell's equations]] – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.|Sir [[Arthur Stanley Eddington]], ''The Nature of the Physical World'' (1927)}}&lt;br /&gt;
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The law that entropy always increases holds, I think, the supreme position among the laws of Nature. If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equations – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.&lt;br /&gt;
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— Sir Arthur Stanley Eddington, The Nature of the Physical World (1927)&lt;br /&gt;
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我认为，熵总是增加的定律在自然定律中占有至高无上的地位。如果有人指出您的宇宙宠物理论杜撰的宇宙理论与麦克斯韦方程不符，那么麦克斯韦方程就遇到麻烦了。如果发现您的理论与观察不符，那么，可能是这些实验学家搞砸了。但是，如果发现您的理论违反了热力学第二定律，那么就没有希望了。除了在深深的耻辱中崩溃，别无他法。&lt;br /&gt;
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—亚瑟·斯坦利·爱丁顿爵士，《自然世界》（1927年）&lt;br /&gt;
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{{quote|There have been nearly as many formulations of the second law as there have been discussions of it.|Philosopher / Physicist [[Percy Williams Bridgman|P.W. Bridgman]], (1941)}}&lt;br /&gt;
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There have been nearly as many formulations of the second law as there have been discussions of it.&lt;br /&gt;
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— Philosopher / Physicist P.W. Bridgman, (1941)&lt;br /&gt;
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关于第二定律的公式几乎与关于第二定律的讨论一样多。&lt;br /&gt;
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—哲学家/物理学家 布里奇曼（1941）&lt;br /&gt;
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{{quote|Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.|[[Clifford Truesdell|Truesdell, C.]], Muncaster, R. G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 17.}}&lt;br /&gt;
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Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.&lt;br /&gt;
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克劳修斯（Sir Clausius）是西伯利亚文“宇宙的能量是恒定的；宇宙的熵趋于最大。”的作者。连续热力学的目标远远不能解释“宇宙”，但是在该理论内，我们可以很容易地以某种类似于克劳修斯的方式得出明确的陈述，只是它仅仅指代一个简单的物体：一个有限大小的孤立物体。&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.  特雷斯德尔，C.，蒙卡斯特，R.G.（1980）。麦克斯韦的单原子气体动力学理论的基本原理，被作为“理性力学”的一个分支，纽约学术出版社，ISBN 0-12-701350-4，第1页. 17。&lt;br /&gt;
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==See also==&lt;br /&gt;
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*[[Clausius–Duhem inequality]]&lt;br /&gt;
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*[[Fluctuation theorem]]&lt;br /&gt;
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*[[Heat death of the universe]]&lt;br /&gt;
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*[[History of thermodynamics]]&lt;br /&gt;
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*[[Jarzynski equality]]&lt;br /&gt;
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*[[Laws of thermodynamics]]&lt;br /&gt;
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*[[Maximum entropy thermodynamics]]&lt;br /&gt;
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*[[Quantum thermodynamics]]&lt;br /&gt;
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*[[Reflections on the Motive Power of Fire]]&lt;br /&gt;
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*[[Relativistic heat conduction]]&lt;br /&gt;
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*[[Thermal diode]]&lt;br /&gt;
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*[[Thermodynamic equilibrium]]&lt;br /&gt;
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==References==&lt;br /&gt;
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*Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (1st edition 1968), third edition 1983, Cambridge University Press, Cambridge UK, {{ISBN|0-521-25445-0}}.&lt;br /&gt;
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*[[Peter Atkins|Atkins, P.W.]], de Paula, J. (2006). ''Atkins' Physical Chemistry'', eighth edition, W.H. Freeman, New York, {{ISBN|978-0-7167-8759-4}}.&lt;br /&gt;
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*Attard, P. (2012). ''Non-equilibrium Thermodynamics and Statistical Mechanics: Foundations and Applications'', Oxford University Press, Oxford UK, {{ISBN|978-0-19-966276-0}}.&lt;br /&gt;
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*Baierlein, R. (1999). ''Thermal Physics'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-59082-5}}.&lt;br /&gt;
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*Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics, New York, {{ISBN|0-88318-797-3}}.&lt;br /&gt;
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*{{Cite book|title=Concepts in thermal physics|last=Blundell|first=Stephen J.|last2=Blundell|authorlink1=Stephen Blundell|first2=Katherine M.|authorlink2=Katherine Blundell|publisher=[[Oxford University Press]]|year=2010|isbn=9780199562107|edition=2nd|location=Oxford|pages=|oclc=607907330|doi=10.1093/acprof:oso/9780199562091.001.0001 |url=http://cds.cern.ch/record/1235139}}&lt;br /&gt;
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*[[Ludwig Boltzmann|Boltzmann, L.]] (1896/1964). ''Lectures on Gas Theory'', translated by S.G. Brush, University of California Press, Berkeley.&lt;br /&gt;
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*Borgnakke, C., Sonntag., R.E. (2009). ''Fundamentals of Thermodynamics'', seventh edition, Wiley, {{ISBN|978-0-470-04192-5}}.&lt;br /&gt;
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*Buchdahl, H.A. (1966). ''The Concepts of Classical Thermodynamics'', Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Percy Williams Bridgman|Bridgman, P.W.]] (1943). ''The Nature of Thermodynamics'', Harvard University Press, Cambridge MA.&lt;br /&gt;
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*[[Herbert Callen|Callen, H.B.]] (1960/1985). ''Thermodynamics and an Introduction to Thermostatistics'', (1st edition 1960) 2nd edition 1985, Wiley, New York, {{ISBN|0-471-86256-8}}.&lt;br /&gt;
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*{{cite journal|author=C. Carathéodory|author1-link=Constantin Carathéodory&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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2010年3月15日 | 第355-386页 |  http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;ppn=ppn235181684_0067&amp;amp;dmdid=dmdlog_0033&amp;amp;l=1&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). ''The Second Law of Thermodynamics'', Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). The Second Law of Thermodynamics, Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können.(p. 363) | doi 10.1007 / bf01450409}.译文可以在这里找到[ http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf ]。同时，在 Kestin，j。(1976).热力学第二定律，Dowden，Hutchinson &amp;amp; Ross，Stroudsburg PA. 。&lt;br /&gt;
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*[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986). [http://www.worldcat.org/title/reflections-on-the-motive-power-of-fire-a-critical-edition-with-the-surviving-scientific-manuscripts-translated-and-edited-by-fox-robert/oclc/812944517&amp;amp;referer=brief_results ''Reflections on the motive power of fire''], Manchester University Press, Manchester UK, {{ISBN|0-7190-1741-6}}. [https://archive.org/stream/reflectionsonmot00carnrich#page/n7/mode/2up Also here.]&lt;br /&gt;
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*[[Sydney Chapman (mathematician)|Chapman, S.]], [[Thomas George Cowling|Cowling, T.G.]] (1939/1970). ''The Mathematical Theory of Non-uniform gases. An Account of the Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases'', third edition 1970, Cambridge University Press, London.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Ueber Die Bewegende Kraft Der Wärme Und Die Gesetze, Welche Sich Daraus Für Die Wärmelehre Selbst Ableiten Lassen|journal=Annalen der Physik|year=1850|volume=79|issue=4|pages=368–397, 500–524|url=http://gallica.bnf.fr/ark:/12148/bpt6k15164w/f518.image|accessdate=26 June 2012|doi=10.1002/andp.18501550403|bibcode = 1850AnP...155..500C |hdl=2027/uc1.$b242250|hdl-access=free}} Translated into English: {{cite journal|last=Clausius|first=R.|title=On the Moving Force of Heat, and the Laws regarding the Nature of Heat itself which are deducible therefrom|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1851| volume=2|series=4th|issue=VIII|pages=1–21; 102–119 |url=https://archive.org/stream/londonedinburghd02lond#page/1/mode/1up|accessdate=26 June 2012&lt;br /&gt;
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|doi=10.1080/14786445108646819}}&lt;br /&gt;
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10.1080 / 14786445108646819}&lt;br /&gt;
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* {{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Über eine veränderte Form des zweiten Hauptsatzes der mechanischen Wärmetheorie|year=1854|journal=Annalen der Physik|volume=xciii|issue=12|pages=481–506|url=http://zfbb.thulb.uni-jena.de/servlets/MCRFileNodeServlet/jportal_derivate_00140956/18541691202_ftp.pdf|accessdate=24 March 2014|doi=10.1002/andp.18541691202&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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| bibcode 1854AnP... 169. 1856年7月 | 第2卷 | 第4页 | 第86页 |  https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=242014年3月&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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热力学理论及其在蒸汽机和物体物理性质中的应用 | 1867年 | 出版商 John van Voorst | 位置: 伦敦 |  https://archive.org/details/mechanicaltheor04claugoog|quote=editions:pwr_sbkwa8ic。 2012年6月19日&lt;br /&gt;
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*Denbigh, K. (1954/1981). ''The Principles of Chemical Equilibrium. With Applications in Chemistry and Chemical Engineering'', fourth edition, Cambridge University Press, Cambridge UK, {{ISBN|0-521-23682-7}}.&lt;br /&gt;
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*Eu, B.C. (2002). ''Generalized Thermodynamics. The Thermodynamics of Irreversible Processes and Generalized Hydrodynamics'', Kluwer Academic Publishers, Dordrecht, {{ISBN|1-4020-0788-4}}.&lt;br /&gt;
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*[[Josiah Willard Gibbs|Gibbs, J.W.]] (1876/1878). On the equilibrium of heterogeneous substances, ''Trans. Conn. Acad.'', '''3''': 108-248, 343-524, reprinted in ''The Collected Works of J. Willard Gibbs, Ph.D, LL. D.'', edited by W.R. Longley, R.G. Van Name, Longmans, Green &amp;amp; Co., New York, 1928, volume 1, pp.&amp;amp;nbsp;55–353.&lt;br /&gt;
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*Griem, H.R. (2005). ''Principles of Plasma Spectroscopy (Cambridge Monographs on Plasma Physics)'', Cambridge University Press, New York  {{ISBN|0-521-61941-6}}.&lt;br /&gt;
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*Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability, and Fluctuations'', Wiley-Interscience, London, 1971, {{ISBN|0-471-30280-5}}.&lt;br /&gt;
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*Grandy, W.T., Jr (2008). [http://global.oup.com/academic/product/entropy-and-the-time-evolution-of-macroscopic-systems-9780199546176?cc=au&amp;amp;lang=en&amp;amp; ''Entropy and the Time Evolution of Macroscopic Systems'']. Oxford University Press. {{ISBN|978-0-19-954617-6}}.&lt;br /&gt;
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*Greven, A., Keller, G., Warnecke (editors) (2003). ''Entropy'', Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1949). 'Statistical basis of thermodynamics', ''Research'', '''2''': 450–454.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1967). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', fifth revised edition, North Holland, Amsterdam.&lt;br /&gt;
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*Gyarmati, I. (1967/1970) ''Non-equilibrium Thermodynamics. Field Theory and Variational Principles'', translated by E. Gyarmati and W.F. Heinz, Springer, New York.&lt;br /&gt;
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*[[Charles Kittel|Kittel, C.]], [[Herbert Kroemer|Kroemer, H.]] (1969/1980). ''Thermal Physics'', second edition, Freeman, San Francisco CA, {{ISBN|0-7167-1088-9}}.&lt;br /&gt;
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*Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998). ''Modern Thermodynamics: From Heat Engines to Dissipative Structures'', John Wiley &amp;amp; Sons, Chichester, {{ISBN|0-471-97393-9}}.&lt;br /&gt;
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*Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics: Foundations, Applications, Frontiers'', Springer-Verlag, Berlin, {{ISBN|978-3-540-74252-4}}.&lt;br /&gt;
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*{{cite journal|ref=harv|title=The Physics and Mathematics of the Second Law of Thermodynamics|last1=Lieb |first1=E. H. |last2=Yngvason |first2=J.|journal=Physics Reports|volume=310|issue=1|pages=1–96 |year=1999|doi=10.1016/S0370-1573(98)00082-9|arxiv = cond-mat/9708200 |bibcode = 1999PhR...310....1L}}&lt;br /&gt;
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*Lieb, E.H., Yngvason, J. (2003). The Entropy of Classical Thermodynamics, pp.&amp;amp;nbsp;147–195, Chapter 8 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*{{cite book|ref=harv|first=F.|last=Mandl|title=Statistical physics|edition=second|year=1988|publisher=[[Wiley &amp;amp; Sons]]|isbn=978-0-471-91533-1}}&lt;br /&gt;
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*{{cite journal | last1 = Maxwell | first1 = J.C. | authorlink = James Clerk Maxwell | year = 1867 | title = On the dynamical theory of gases | url = | journal = Phil. Trans. R. Soc. Lond. | volume = 157 | issue = | pages = 49–88 | doi = 10.1098/rstl.1867.0004 }}&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985). ''Thermodynamics'', Pitman, London, {{ISBN|0-273-08577-8}}.&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003). Entropy in Nonequilibrium, pp.&amp;amp;nbsp;79–109, Chapter 5 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}.&lt;br /&gt;
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*[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1897/1903). [https://archive.org/stream/treatiseonthermo00planrich#page/100/mode/2up ''Treatise on Thermodynamics'', translated by A. Ogg, Longmans Green, London, p. 100.]&lt;br /&gt;
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*[[Max Planck|Planck. M.]] (1914). [https://archive.org/details/theoryofheatradi00planrich ''The Theory of Heat Radiation''], a translation by Masius, M. of the second German edition, P. Blakiston's Son &amp;amp; Co., Philadelphia.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1926). Über die Begründung des zweiten Hauptsatzes der Thermodynamik, ''Sitzungsberichte der Preussischen Akademie der Wissenschaften: Physikalisch-mathematische Klasse'': 453–463.&lt;br /&gt;
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* Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769-781.&lt;br /&gt;
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* {{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&lt;br /&gt;
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*Quinn, T.J. (1983). ''Temperature'', Academic Press, London, {{ISBN|0-12-569680-9}}.&lt;br /&gt;
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*{{cite book|ref=harv|first=Y.V.C.|last=Rao|title=An Introduction to thermodynamics|url=https://books.google.com/books?id=iYWiCXziWsEC&amp;amp;pg=PA213|date=2004|publisher=Universities Press|isbn=978-81-7371-461-0|page=213}}&lt;br /&gt;
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*Roberts, J.K., Miller, A.R. (1928/1960). ''Heat and Thermodynamics'', (first edition 1928), fifth edition, Blackie &amp;amp; Son Limited, Glasgow.&lt;br /&gt;
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*[[Erwin Schrödinger|Schrödinger, E.]] (1950). Irreversibility, ''Proc. R. Ir. Acad.'', '''A53''': 189–195.&lt;br /&gt;
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*[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966). ''Elements of Thermodynamics'', Addison-Wesley Publishing, Reading MA.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Thomson|first=W.|author-link=William Thomson, 1st Baron Kelvin|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Transactions of the Royal Society of Edinburgh|year=1851|volume=XX|issue=part II|pages=261–268; 289–298|url=https://www.biodiversitylibrary.org/item/126047#page/295/mode/1up}} Also published in {{cite journal|last=Thomson|first=W.|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Philos. Mag. |date=December 1852 |volume=IV |series=4 |issue=22 |page=13|url=https://archive.org/stream/londonedinburghp04maga#page/12/mode/2up |accessdate=25 June 2012}}&lt;br /&gt;
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*[[William Thomson, 1st Baron Kelvin|Thomson, W.]] (1852). ''On the universal tendency in nature to the dissipation of mechanical energy'' Philosophical Magazine, Ser. 4, p.&amp;amp;nbsp;304.&lt;br /&gt;
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*[[László Tisza|Tisza, L.]] (1966). ''Generalized Thermodynamics'', M.I.T Press, Cambridge MA.&lt;br /&gt;
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*[[Clifford Truesdell|Truesdell, C.]] (1980). ''The Tragicomical History of Thermodynamics 1822–1854'', Springer, New York, {{ISBN|0-387-90403-4}}.&lt;br /&gt;
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*Uffink, J. (2001). Bluff your way in the second law of thermodynamics, ''Stud. Hist. Phil. Mod. Phys.'', '''32'''(3): 305–394.&lt;br /&gt;
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*Uffink, J. (2003). Irreversibility and the Second Law of Thermodynamics, Chapter 7 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003), Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963). ''Lectures in Statistical Mechanics'', American Mathematical Society, Providence RI.&lt;br /&gt;
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*[[Mark Zemansky|Zemansky, M.W.]] (1968). ''Heat and Thermodynamics. An Intermediate Textbook'', fifth edition, McGraw-Hill Book Company, New York.&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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进一步阅读&lt;br /&gt;
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*Goldstein, Martin, and Inge F., 1993. ''The Refrigerator and the Universe''. Harvard Univ. Press. Chpts. 4–9 contain an introduction to the Second Law, one a bit less technical than this entry. {{ISBN|978-0-674-75324-2}}&lt;br /&gt;
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*Leff, Harvey S., and Rex, Andrew F. (eds.) 2003. ''Maxwell's Demon 2 : Entropy, classical and quantum information, computing''. Bristol UK; Philadelphia PA: [[Institute of Physics]]. {{ISBN|978-0-585-49237-7}}&lt;br /&gt;
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*{{Cite book | first = J.J. | last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1}}(technical).&lt;br /&gt;
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*{{cite book |title=Reflections on the Motive Power of Heat and on Machines Fitted to Develop That Power |last=Carnot |first=Sadi |editor=[[Robert Henry Thurston|Thurston, Robert Henry]] |year=1890 |publisher=J. Wiley &amp;amp; Sons |location=New York |isbn= |pages= }} ([https://books.google.com/books?id=tgdJAAAAIAAJ full text of 1897 ed.]) ([http://www.history.rochester.edu/steam/carnot/1943/ html])&lt;br /&gt;
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*Stephen Jay Kline (1999). ''The Low-Down on Entropy and Interpretive Thermodynamics'', La Cañada, CA: DCW Industries. {{ISBN|1-928729-01-0}}.&lt;br /&gt;
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*{{cite book | last1 = Kostic | first1 = M | year = 2011 | title = Revisiting The Second Law of Energy Degradation and Entropy Generation: From Sadi Carnot's Ingenious Reasoning to Holistic Generalization | journal = AIP Conf. Proc. | volume = 1411 | issue = 1| pages = 327–350 | doi = 10.1063/1.3665247 | isbn = 978-0-7354-0985-9 | bibcode = 2011AIPC.1411..327K | series = AIP Conference Proceedings | citeseerx = 10.1.1.405.1945 }} also at [https://web.archive.org/web/20130420222450/http://www.kostic.niu.edu/2ndLaw/Revisiting%20The%20Second%20Law%20of%20Energy%20Degradation%20and%20Entropy%20Generation%20-%20From%20Carnot%20to%20Holistic%20Generalization-4.pdf].&lt;br /&gt;
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==External links==&lt;br /&gt;
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==External links==&lt;br /&gt;
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外部链接&lt;br /&gt;
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*[[Stanford Encyclopedia of Philosophy]]: &amp;quot;[http://plato.stanford.edu/entries/statphys-statmech/ Philosophy of Statistical Mechanics]&amp;quot; – by Lawrence Sklar.&lt;br /&gt;
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*[http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node30.html ''Second law of thermodynamics''] in the MIT Course [http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/notes.html ''Unified Thermodynamics and Propulsion''] from Prof. Z. S. Spakovszky&lt;br /&gt;
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*[[E.T. Jaynes]], 1988, &amp;quot;[http://bayes.wustl.edu/etj/articles/ccarnot.pdf The evolution of Carnot's principle],&amp;quot; in G. J. Erickson and C. R. Smith (eds.)''Maximum-Entropy and Bayesian Methods in Science and Engineering, Vol'' 1: p.&amp;amp;nbsp;267.&lt;br /&gt;
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*[http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf Caratheodory, C., &amp;quot;Examination of the foundations of thermodynamics,&amp;quot; trans. by D. H. Delphenich]&lt;br /&gt;
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* [https://www.bbc.co.uk/programmes/p004y2bm The Second Law of Thermodynamics], BBC Radio 4 discussion with John Gribbin, Peter Atkins &amp;amp; Monica Grady (''In Our Time'', Dec. 16, 2004)&lt;br /&gt;
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* [http://mdpi.org/entropy/papers/e6010001.pdf [[Entropy (journal)]], 2004]&lt;br /&gt;
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* [https://www.journals.uchicago.edu/doi/abs/10.1086/663835 The Journal of the International Society for the History of Philosophy of Science, 2012]&lt;br /&gt;
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{{DEFAULTSORT:Second Law Of Thermodynamics}}&lt;br /&gt;
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[[Category:Concepts in physics]]&lt;br /&gt;
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Category:Concepts in physics&lt;br /&gt;
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分类: 物理概念&lt;br /&gt;
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[[Category:Laws of thermodynamics|2]]&lt;br /&gt;
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[[Category:Non-equilibrium thermodynamics]]&lt;br /&gt;
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Category:Non-equilibrium thermodynamics&lt;br /&gt;
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类别: 非平衡态热力学&lt;br /&gt;
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[[Category:Philosophy of thermal and statistical physics]]&lt;br /&gt;
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Category:Philosophy of thermal and statistical physics&lt;br /&gt;
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类别: 热力学和统计物理学哲学&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Second law of thermodynamics]]. Its edit history can be viewed at [[热力学第二定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
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	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E7%83%AD%E5%8A%9B%E5%AD%A6%E7%AC%AC%E4%BA%8C%E5%AE%9A%E5%BE%8B&amp;diff=12825</id>
		<title>热力学第二定律</title>
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		<updated>2020-08-17T14:22:56Z</updated>

		<summary type="html">&lt;p&gt;趣木木：&lt;/p&gt;
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&lt;div&gt;此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。{{short description|Law of physics}}&lt;br /&gt;
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{{Thermodynamics|laws}}&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 全文审校中，heat一般统一译为“热”，caloric 或者 caloric of heat 译为“热量”。这一点是否准确，有待各位同学和专家的批评指正&lt;br /&gt;
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The '''second law of thermodynamics''' states that the total [[entropy]] of an [[isolated system]] can never decrease over time, and is constant if and only if all processes are reversible.&amp;lt;ref&amp;gt;http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node38.html#SECTION05224000000000000000&amp;lt;/ref&amp;gt; Isolated systems spontaneously evolve towards [[thermodynamic equilibrium]], the state with maximum entropy. &lt;br /&gt;
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The second law of thermodynamics states that the total entropy of an isolated system can never decrease over time, and is constant if and only if all processes are reversible. Isolated systems spontaneously evolve towards thermodynamic equilibrium, the state with maximum entropy. &lt;br /&gt;
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&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第二定律 Second Law Of Thermodynamics'''&amp;lt;/font&amp;gt;指出，&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''孤立系统Isolated System'''&amp;lt;/font&amp;gt;的总熵永远不会随着时间而减少，且当且仅当所有过程都是可逆时，总熵才恒定。孤立系统自发地到达到热力学平衡状态，此时为熵最大的状态。&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in [[thermodynamic equilibrium]], or is undergoing a (fictive) [[Reversible process (thermodynamics)|reversible process]]. In all processes that occur, including [[spontaneous process]]es,&amp;lt;ref&amp;gt;Atkins and de Paula, p.78&amp;lt;/ref&amp;gt; the total entropy of the system and its surroundings increases and the process is [[Irreversible process|irreversible in the thermodynamic sense]]. The increase in entropy accounts for the irreversibility of natural processes, and the [[Arrow of time|asymmetry between future and past]].&amp;lt;ref&amp;gt;{{cite book|last=Zohuri|first=Bahman|title=Dimensional Analysis Beyond the Pi Theorem|url=https://books.google.com/books?id=pRVuDQAAQBAJ|year=2016|publisher=Springer|isbn=978-3-319-45726-0|page=[https://books.google.com.ph/books?id=pRVuDQAAQBAJ&amp;amp;pg=PA111&amp;amp;dq=%22increase+in+entropy+accounts+for+the+irreversibility+of+natural+processes+and+the+asymmetry+between+future+and+past.%22&amp;amp;hl=en&amp;amp;sa=X&amp;amp;ved=0ahUKEwj6spb61tbaAhUFS7wKHfftDtIQ6AEIKDAA#v=onepage&amp;amp;q=%22increase%20in%20entropy%20accounts%20for%20the%20irreversibility%20of%20natural%20processes%20and%20the%20asymmetry%20between%20future%20and%20past.%22 111]}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The total entropy of a system and its surroundings can remain constant in ideal cases where the system is in thermodynamic equilibrium, or is undergoing a (fictive) reversible process. In all processes that occur, including spontaneous processes, the total entropy of the system and its surroundings increases and the process is irreversible in the thermodynamic sense. The increase in entropy accounts for the irreversibility of natural processes, and the asymmetry between future and past.&lt;br /&gt;
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系统及其周围环境的总熵在理想情况下可以保持不变，在这种情况下，系统处于热力学平衡状态，或者正在经历一个假想的可逆过程。所有过程中，包括&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''自发过程 Spontaneous Processes'''&amp;lt;/font&amp;gt;，系统及其周围环境的总熵增加，这一过程在热力学意义上是不可逆的。熵的增加解释了自然过程的不可逆性，以及未来和过去之间的不对称性。&lt;br /&gt;
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Historically, the second law was an [[Empirical evidence|empirical finding]] that was accepted as an axiom of [[thermodynamics|thermodynamic theory]].  [[Statistical mechanics]], classical or [[quantum thermodynamics|quantum]], explains the microscopic origin of the law.&lt;br /&gt;
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Historically, the second law was an empirical finding that was accepted as an axiom of thermodynamic theory.  Statistical mechanics, classical or quantum, explains the microscopic origin of the law.&lt;br /&gt;
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从历史上看，第二定律是一个经验性的发现，它被认为是热力学理论中的公理。经典统计力学、量子统计力学都可以解释这个定律的微观起源。&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist [[Nicolas Léonard Sadi Carnot|Sadi Carnot]], who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as [[Carnot's theorem (thermodynamics)|Carnot's rule]] or limit.&amp;lt;ref&amp;gt;Jaffe, R.L., Taylor, W. (2018). ''The Physics of Energy'', Cambridge University Press, Cambridge UK, pages 150, 151, 259, 772, 743.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been expressed in many ways. Its first formulation is credited to the French scientist Sadi Carnot, who in 1824 showed that there is an upper limit to the efficiency of conversion of heat to work in a heat engine. This aspect of the second law is also known as Carnot's rule or limit.&lt;br /&gt;
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&amp;lt;font color = 'blue'&amp;gt;热力学第二定律可以使用多种方法表述。它的第一个公式归功于法国科学家&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺Sadi Carnot'''&amp;lt;/font&amp;gt;，卡诺在1824年证明了在热机中将热转化为功的效率有一个上限。第二定律的这个方面也被称为&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺规则Carnot's Rule'''&amp;lt;/font&amp;gt;或&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''卡诺限制Carnot's Limit'''&amp;lt;/font&amp;gt;。&amp;lt;/font&amp;gt;&lt;br /&gt;
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'''热力学第二定律 Second Law of Thermodynamics'''是热力学的四条基本定律之一，它表述了热力学过程的不可逆性——孤立系统自发地朝着热力学平衡方向（即最大熵状态）演化，另一种表述为：第二类永动机永不可能实现。&lt;br /&gt;
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--[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）这里是不是少了一段原文？&lt;br /&gt;
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==Introduction引言==&lt;br /&gt;
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[[File:Heat flow hot to cold.png|thumb|upright|Heat flow from hot water to cold water. 热总是从热水流向冷水]]&lt;br /&gt;
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The [[first law of thermodynamics]] provides the definition of the [[internal energy]] of a [[thermodynamic system]], and expresses the law of [[conservation of energy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 40–41.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Munster A. (1970), pp. 8–9, 50–51.&amp;lt;/ref&amp;gt; The second law is concerned with the direction of natural processes.&amp;lt;ref&amp;gt;{{harvnb|Mandl|1988}}&amp;lt;/ref&amp;gt; It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such [[Phenomenon|phenomena]] are accounted for in terms of [[entropy]].&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), pp. 79–107.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Bailyn, M. (1994), Section 71, pp. 113–154.&amp;lt;/ref&amp;gt; If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, {{math|''S''}}, increases.&lt;br /&gt;
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The first law of thermodynamics provides the definition of the internal energy of a thermodynamic system, and expresses the law of conservation of energy. The second law is concerned with the direction of natural processes. It asserts that a natural process runs only in one sense, and is not reversible. For example, when a path for conduction and radiation is made available, heat always flows spontaneously from a hotter to a colder body. Such phenomena are accounted for in terms of entropy. If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&lt;br /&gt;
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'''热力学第一定律 First Law Of Thermodynamics'''定义了热力学系统所涉及到的'''内能 Internal Energy''，并体现了能量守恒定律。热力学第二定律与'''自然过程Natural Processes'''的方向有关。它断言自然过程只在一种意义上进行，且不可逆 。例如，当有了传导和辐射的（传播）路径时，热总是自发地从一个较热的物体流向一个较冷的物体。这种现象可以用'''熵Entropy'''来解释。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;若一个'''孤立系统Isolated System'''最初在具有隔热内壁的系统内维持热力学平衡，通过一些操作使内壁透热，则该系统可自发地演变，最终达到一个新的内部热力学平衡，且其总熵{{math|''S''}}增加。If an isolated system is held initially in internal thermodynamic equilibrium by internal partitioning impermeable walls, and then some operation makes the walls more permeable, then the system spontaneously evolves to reach a final new internal thermodynamic equilibrium, and its total entropy, S, increases.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy ({{math|d''S''}}) of a system is defined to result from an infinitesimal transfer of heat ({{math|δ''Q''}}) to a [[closed system]] (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature ({{math|''T''}}) of the system in equilibrium and the surroundings which supply the heat:&amp;lt;ref&amp;gt;Bailyn, M. (1994), p. 120.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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In a fictive reversible process, an infinitesimal increment in the entropy () of a system is defined to result from an infinitesimal transfer of heat () to a closed system (which allows the entry or exit of energy – but not transfer of matter) divided by the common temperature () of the system in equilibrium and the surroundings which supply the heat:&lt;br /&gt;
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在假想的可逆过程中，系统的熵的无穷小增量&amp;lt;math&amp;gt;dS&amp;lt;/math&amp;gt;被定义为由无穷小的热&amp;lt;math&amp;gt;δQ&amp;lt;/math&amp;gt;传递到一个封闭系统(允许能量进入或出去，但不允许物质传递的系统）除以该平衡系统和提供热的环境的共同温度 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat ({{mvar|δ}}) and infinitesimal amounts of entropy ({{mvar|d}}) because entropy is a [[function of state]], while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the [[Clausius Theorem|inequality]] &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt; Mortimer, R. G. ''Physical Chemistry''. 3rd ed., p. 120, Academic Press, 2008. &amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;FermiBook&amp;quot;&amp;gt; Fermi, E. ''Thermodynamics'', footnote on p. 48, Dover Publications,1956 (still in print). &amp;lt;/ref&amp;gt; &lt;br /&gt;
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Different notations are used for infinitesimal amounts of heat () and infinitesimal amounts of entropy () because entropy is a function of state, while heat, like work, is not. For an actually possible infinitesimal process without exchange of mass with the surroundings, the second law requires that the increment in system entropy fulfills the inequality  &lt;br /&gt;
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用不同的符号''δ''和''d''表示无穷小量的热和无穷小量的熵，因为熵是状态函数，而热和功一样，并不是状态函数。对于实际上可能存在的不与环境发生物质交换的无穷小过程，&amp;lt;font color = 'blue'&amp;gt;第二定律要求&amp;lt;/font&amp;gt;系统熵增量满足不等式：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T}&amp;lt;/math&amp;gt; system, actually possible, irreversible process 封闭系统中理想状态下的可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature ({{math|''T''}}) and the temperature of the surroundings ({{math|''T''}}&amp;lt;sub&amp;gt;''surr''&amp;lt;/sub&amp;gt;).&lt;br /&gt;
&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;Adkins, C.J. (1968/1983), p. 75.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt; &lt;br /&gt;
Note that the equality still applies for pure heat flow,&lt;br /&gt;
&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt; Schmidt-Rohr, K. (2014). &amp;quot;Expansion Work without the External Pressure, and Thermodynamics in Terms of Quasistatic Irreversible Processes&amp;quot; ''J. Chem. Educ.'' '''91''': 402-409.  https://dx.doi.org/10.1021/ed3008704 &amp;lt;/ref&amp;gt;&lt;br /&gt;
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This is because a general process for this case may include work being done on the system by its surroundings, which can have frictional or viscous effects inside the system, because a chemical reaction may be in progress, or because heat transfer actually occurs only irreversibly, driven by a finite difference between the system temperature () and the temperature of the surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;).&lt;br /&gt;
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这是因为在这种情况下的一般过程可能包括周围环境对系统所做的功，该功在系统内部会产生摩擦或粘滞效应，或是因为此时一个化学反应可能正在&amp;lt;font color = 'blue'&amp;gt;系统内部&amp;lt;/font&amp;gt;进行，或&amp;lt;font color = 'blue'&amp;gt;因为&amp;lt;/font&amp;gt;热传递实际上是不可逆地发生，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;通过&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;系统温度&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt;和周围环境温度&amp;lt;math&amp;gt;T_surr&amp;lt;/math&amp;gt;之间&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;存在差异而进行驱动&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;的差异驱动了热传递的发生&amp;lt;/font&amp;gt;。&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该句有些不太理解&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我觉得应该是“This is because a general process……，because a chemical reaction……，or because heat transfer……surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;).”的并列结构。&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）我的理解，第一个because是对上文的解释；后两个because是对“功在系统内部产生……效应”的解释；后两个为并列，不与第一个并列，因此“粘滞效应”后面的because前不用加“或是”&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）and the temperature of the surroundings (&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;)后面缺少半句原文：“Note that the equality still applies for pure heat flow,”&lt;br /&gt;
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&amp;lt;font color='blue'&amp;gt;注意这个等式也适用于'''纯热流Pure Heat Flow''',&amp;lt;/font&amp;gt;&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(actually possible quasistatic irreversible process without composition change 实际上可能的,不改变成分的准静态不可逆性).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;&amp;gt;Oxtoby, D. W; Gillis, H.P., [[Laurie Butler|Butler, L. J.]] (2015).''Principles of Modern Chemistry'', Brooks Cole. p. 617.  {{ISBN|978-1305079113}}&amp;lt;/ref&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; Introducing a set of internal variables &amp;lt;math&amp;gt;\xi&amp;lt;/math&amp;gt; to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure ''P'' and temperature ''T'')&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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which is the basis of the accurate determination of the absolute entropy of pure substances from measured heat capacity curves and entropy changes at phase transitions, i.e. by calorimetry.[16] [11] Introducing a set of internal variables {\displaystyle \xi }\xi  to describe the deviation of a thermodynamic system in physical equilibrium (with the required well-defined uniform pressure P and temperature T)[15] from the chemical equilibrium state, one can record the equality&lt;br /&gt;
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&amp;lt;font color='blue'&amp;gt;这种方法&amp;lt;/font&amp;gt;是通过测量'''热容曲线 Heat Capacity Curves'''和相变中熵的变化，来准确测定纯物质的绝对熵的基础，比如'''量热法calorimetry'''。&lt;br /&gt;
为了描述一个热力学系统在物理平衡状态下(要求有明确定义的等压P和等温T)偏离化学平衡状态，引入一组内部变量&amp;lt;math&amp;gt;x_i&amp;lt;/math&amp;gt;,可以用该等式&lt;br /&gt;
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: &amp;lt;math&amp;gt;\mathrm dS = \frac{\delta Q}{T} - \frac{1}{T} \sum_{j} \, \Xi_{j} \,\delta \xi_j \,\, \,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, \text {(closed system, actually possible quasistatic irreversible process 封闭系统，实际可能的准静态不可逆过程).}&amp;lt;/math&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of ''the second principle of thermodynamics'' – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&amp;lt;ref&amp;gt; Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769–781.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second term represents work of internal variables that can be perturbed by external influences, but the system cannot perform any positive work via internal variables. This statement introduces the impossibility of the reversion of evolution of the thermodynamic system in time and can be considered as a formulation of the second principle of thermodynamics – the formulation, which is, of course, equivalent to the formulation of the principle in terms of entropy.&lt;br /&gt;
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第二项代表内部变量的功，这些内部变量&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;可以&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color= 'blue'&amp;gt;可能&amp;lt;/font&amp;gt;受到外部影响的干扰，但是系统不能通过内部变量做任何正功。这种说法介绍了热力学系统在时间上&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;不可能逆转演化的事实&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;演化不可能逆转的性质&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;，并且&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;可以被认为是热力学第二原理的另外一种相当于熵原理的表述。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color= 'blue'&amp;gt;该公式可以被看作使用'''熵Entropy'''的热力学第二定律等价表述&amp;lt;/font&amp;gt;&lt;br /&gt;
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The [[zeroth law of thermodynamics]] in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body.&amp;lt;ref name=dugdale&amp;gt;{{cite book|author=J. S. Dugdale|title=Entropy and its Physical Meaning|publisher=Taylor &amp;amp; Francis|year=1996|isbn=978-0-7484-0569-5|page=13|quote=This law is the basis of temperature.}}&amp;lt;/ref&amp;gt; For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows{{how?|date=August 2018}} a distinguished temperature scale, which defines an absolute, [[thermodynamic temperature]], independent of the properties of any particular reference thermometric body.&amp;lt;ref&amp;gt;[[Mark Zemansky|Zemansky, M.W.]] (1968), pp. 207–209.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Quinn, T.J. (1983), p. 8.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The zeroth law of thermodynamics in its usual short statement allows recognition that two bodies in a relation of thermal equilibrium have the same temperature, especially that a test body has the same temperature as a reference thermometric body. For a body in thermal equilibrium with another, there are indefinitely many empirical temperature scales, in general respectively depending on the properties of a particular reference thermometric body. The second law allows a distinguished temperature scale, which defines an absolute, thermodynamic temperature, independent of the properties of any particular reference thermometric body.&lt;br /&gt;
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热力学第零定律是指如果两个热力学系统&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;中的每一个&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;都与第三个热力学系统处于热平衡(温度相同)&amp;lt;font color= 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;，则它们彼此也必定处于热平衡&amp;lt;font color= 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;。热力学第零定律在&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;它&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;这个&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;通常的&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;简短叙述中让人们认识到热平衡关系中的两个物体具有相同的温度，特别是当一个被测物体与一个参考测温物体具有相同的温度时，对于&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;一个与另一个&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;两个&amp;lt;font color= 'blue'&amp;gt;&amp;lt;/font&amp;gt;处于热平衡&amp;lt;font color= 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;的物体，有无限多的'''&amp;lt;font color = '#ff8000'&amp;gt;经验温标empirical temperature scales&amp;lt;/font&amp;gt;'''，这通常&amp;lt;font color= 'blue'&amp;gt;分别&amp;lt;/font&amp;gt;取决于特定参考温度&amp;lt;font color='red'&amp;gt;&amp;lt;s&amp;gt;标度&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color= 'blue'&amp;gt;体&amp;lt;/font&amp;gt;的性质。热力学第二定律允许区分'''&amp;lt;font color = '#ff8000'&amp;gt;温度标度temperature scale&amp;lt;/font&amp;gt;'''，它定义了一个绝对的热力学温度，与任何特定的参考温度体的性质无关。&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）补充热力学第零定律&lt;br /&gt;
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==Various statements of the law热力学第二定律的不同表述==&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways,&amp;lt;ref name=MIT&amp;gt;{{cite web|title=Concept and Statements of the Second Law|url=http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node37.html|accessdate=2010-10-07 |publisher=web.mit.edu}}&amp;lt;/ref&amp;gt; the most prominent classical statements{{sfnp|Lieb|Yngvason|1999}} being the statement by [[Rudolf Clausius]] (1854), the statement by [[William Thomson, 1st Baron Kelvin|Lord Kelvin]] (1851), and the statement in axiomatic thermodynamics by [[Constantin Carathéodory]] (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.{{sfnp|Rao|2004|p=213}}&lt;br /&gt;
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The second law of thermodynamics may be expressed in many specific ways, the most prominent classical statements being the statement by Rudolf Clausius (1854), the statement by Lord Kelvin (1851), and the statement in axiomatic thermodynamics by Constantin Carathéodory (1909). These statements cast the law in general physical terms citing the impossibility of certain processes. The Clausius and the Kelvin statements have been shown to be equivalent.&lt;br /&gt;
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热力学第二定律可以用许多特定的方式来表达，最突出的经典陈述是 '''克劳修斯 Rudolf Clausius''' (1854)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，'''开尔文 Kelvin''' (1851)&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;，以及康斯坦丁·卡拉西奥多里 Constantin Carathéodory(1909)在'''&amp;lt;font color = '#ff8000'&amp;gt;公理化热力学axiomatic thermodynamics&amp;lt;/font&amp;gt;'''中的&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;。这些&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;陈述&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;用一般的物理术语来描述定律，引用某些过程的不可能性。克劳修斯和开尔文表述被证明是等价的。&lt;br /&gt;
  --[[用户:厚朴|厚朴]]（[[用户讨论:厚朴|讨论]]）statement的表述需要统一，同样的statement by Rudolf Clausius这里需要统一开尔文 克劳修斯 Kelvin Clausius&lt;br /&gt;
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===Carnot's principle卡诺原理===&lt;br /&gt;
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The historical origin&amp;lt;ref&amp;gt;[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986).&amp;lt;/ref&amp;gt; of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a [[Carnot heat engine]], fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the [[caloric theory]] of heat was seriously considered, before the recognition of the [[first law of thermodynamics]], and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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The historical origin of the second law of thermodynamics was in Carnot's principle. It refers to a cycle of a Carnot heat engine, fictively operated in the limiting mode of extreme slowness known as quasi-static, so that the heat and work transfers are between subsystems that are always in their own internal states of thermodynamic equilibrium. The Carnot engine is an idealized device of special interest to engineers who are concerned with the efficiency of heat engines. Carnot's principle was recognized by Carnot at a time when the caloric theory of heat was seriously considered, before the recognition of the first law of thermodynamics, and before the mathematical expression of the concept of entropy. Interpreted in the light of the first law, it is physically equivalent to the second law of thermodynamics, and remains valid today. Carnot's original arguments were made from the viewpoint of the caloric theory, before the discovery of the first law of thermodynamics. Some samples from his book are:&lt;br /&gt;
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热力学第二定律的历史起源是'''卡诺原理Carnot's principle'''。&lt;br /&gt;
它指的是'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机Carnot heat engine&amp;lt;/font&amp;gt;'''的一个循环，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;它&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;卡诺热机&amp;lt;/font&amp;gt;以'''&amp;lt;font color = '#ff8000'&amp;gt;准静态quasi-static&amp;lt;/font&amp;gt;'''的极限慢速运转，因此热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;和功在子系统之间进行传递，子系统总是处于它们自己内部的热力学平衡状态。&lt;br /&gt;
卡诺热机是研究热机效率的工程师特别感兴趣的理想装置。&lt;br /&gt;
当卡诺发现卡诺原理时，'''&amp;lt;font color = '#ff8000'&amp;gt;热量理论caloric theory of heat&amp;lt;/font&amp;gt;'''还没有得到重视，热力学第一定律还没有得到承认，熵的概念还没有数学表达。&lt;br /&gt;
根据第一定律的解释，它在物理上等同于热力学第二定律，并沿用至今。&lt;br /&gt;
在热力学第一定律被发现之前，卡诺最初的论点是从热量理论的观点出发的。&lt;br /&gt;
下面是他书中的一些例子：&lt;br /&gt;
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::...''wherever there exists a difference of temperature, motive power can be produced.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 51.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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...wherever there exists a difference of temperature, motive power can be produced.&lt;br /&gt;
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……只要有温差，就能产生动力。&lt;br /&gt;
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::The production of motive power is then due in steam engines not to an actual consumption of caloric, but ''to its transportation from a warm body to a cold body ...''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 46.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The production of motive power is then due in steam engines not to an actual consumption of caloric, but to its transportation from a warm body to a cold body ...&lt;br /&gt;
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动力的产生不是由于蒸汽机实际消耗的热量，而是由于它从一个较热的物体&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;运输&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到一个较冷的物体……。&lt;br /&gt;
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::''The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.''&amp;lt;ref&amp;gt;Carnot, S. (1824/1986), p. 68.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The motive power of heat is independent of the agents employed to realize it; its quantity is fixed solely by the temperatures of the bodies between which is effected, finally, the transfer of caloric.&lt;br /&gt;
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热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;的原动力与实现热的媒介无关，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量的数量&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;热的量&amp;lt;/font&amp;gt;完全取决于两个物体之间的温度，最后是热量的传递。&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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In modern terms, Carnot's principle may be stated more precisely:&lt;br /&gt;
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用现代术语&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;来说&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;，卡诺原理可能更为准确:&lt;br /&gt;
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::The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]] (1980), Chapter 5.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Adkins, C.J. (1968/1983), pp. 56–58.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Münster, A. (1970), p. 11.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998), pp.67–75.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Lebon, G., Jou, D., Casas-Vázquez, J. (2008), p. 10.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Eu, B.C. (2002), pp. 32–35.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The efficiency of a quasi-static or reversible Carnot cycle depends only on the temperatures of the two heat reservoirs, and is the same, whatever the working substance. A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&lt;br /&gt;
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准静态卡诺循环或可逆卡诺循环的效率只取决于两种热源的温度，而且无论工作物质是什么，效率是相同的。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;只有&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;使用&amp;lt;/font&amp;gt;两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;使用两个热源与工作物质交换热源（一个高温热源温度&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt;和一个低温热源温度&amp;lt;math&amp;gt;T_2&amp;lt;/math&amp;gt;)的卡诺热机是最有效的热机。 A Carnot engine operated in this way is the most efficient possible heat engine using those two temperatures.&amp;lt;/font&amp;gt;''' &lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）最后一句进行了补充 意译&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我没太看懂卡诺表述，所以不能确定这里的补充是否正确。可以再看一下“与工作物质交换热源”部分的表述是否准确&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）如果不确定，可以考虑将这句话标注为疑难句；或直接按原文直译&lt;br /&gt;
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===Clausius statement克劳修斯表述===&lt;br /&gt;
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The German scientist [[Rudolf Clausius]] laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work.{{sfnp|Clausius|1850}} His formulation of the second law, which was published in German in 1854, is known as the ''Clausius statement'':&lt;br /&gt;
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The German scientist Rudolf Clausius laid the foundation for the second law of thermodynamics in 1850 by examining the relation between heat transfer and work. His formulation of the second law, which was published in German in 1854, is known as the Clausius statement:&lt;br /&gt;
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1850年，德国科学家'''鲁道夫·克劳修斯 Rudolf Clausius''' 通过研究热传递和功之间的关系，为热力学第二定律&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;实验室&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;奠定了基础。他在1854年用德语发表的论文中所提及的热力学第二定律定义被称为克劳修斯表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.{{sfnp|Clausius|1854|p=86}}&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;Heat can never pass from a colder to a warmer body without some other change, connected therewith, occurring at the same time.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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不可能把热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从低温物体传递到高温物体而不产生其他影响。 &lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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The statement by Clausius uses the concept of 'passage of heat'. As is usual in thermodynamic discussions, this means 'net transfer of energy as heat', and does not refer to contributory transfers one way and the other.&lt;br /&gt;
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克劳修斯的表述使用了“'''&amp;lt;font color = '#ff8000'&amp;gt;热通道Passage Of Heat&amp;lt;/font&amp;gt;'''”的概念。&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;正如通常在热力学的讨论，这意味着“能量作为热的净转移” ，而不是另一种形式上的&amp;quot;分摊转账&amp;quot;或其他。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;&lt;br /&gt;
在热力学的讨论中，通常这意味着“能量作为热的形式的净转移” ，而不是指其他方式的转移。&amp;lt;/font&amp;gt;&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）不太理解分摊转账contributory transfers &lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）  我觉得应该是说，energy as '''heat''' 而不是 as其他方式的转移&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）我认为这里不要把contributory transfer看作一个专有名词去理解，从contributory的本意“A contributory factor of a problem or accident is one of the things which caused it to exist or happen.”来理解即可，感觉嘉树理解的是对的。&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of [[refrigeration]], for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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Heat cannot spontaneously flow from cold regions to hot regions without external work being performed on the system, which is evident from ordinary experience of refrigeration, for example. In a refrigerator, heat flows from cold to hot, but only when forced by an external agent, the refrigeration system.&lt;br /&gt;
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如果不对系统&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;进行外部功&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;外部做功&amp;lt;/font&amp;gt;，热&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;量就&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;不能自发地从冷区流向热区，这一点从制冷的普通经验中也可以看出。在冰箱中，&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热量从冷到热，但只有在外部媒介——制冷系统的强制作用下才会发生变化。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;只有在外部媒介也就是制冷系统的强制作用下热才会从冷区流到热区。&amp;lt;/font&amp;gt;&lt;br /&gt;
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===Kelvin statements开尔文表述===&lt;br /&gt;
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[[William Thomson, 1st Baron Kelvin|Lord Kelvin]] expressed the second law in several wordings.&lt;br /&gt;
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Lord Kelvin expressed the second law in several wordings.&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文勋爵 Lord Kelvin&amp;lt;/font&amp;gt;''' &amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;用几个字表达&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;表述&amp;lt;/font&amp;gt;了热力学第二定律。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 感觉”用几个字“怪怪的，所以删掉了&lt;br /&gt;
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::It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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It is impossible for a self-acting machine, unaided by any external agency, to convey heat from one body to another at a higher temperature.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;无法从单一热源取热使其完全转化为有用功而不对环境产生影响。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能从单一热源取热使之完全转换为有用的功而不产生其他影响。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 改的内容和原文内容不太对应。这个摘自百度百科，另参见 严子浚(1994). 对热力学第二定律开尔文表述的一点讨论, 大学物理: 13(2).&lt;br /&gt;
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::It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.{{sfnp|Thomson|1851}}&lt;br /&gt;
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It is impossible, by means of inanimate material agency, to derive mechanical effect from any portion of matter by cooling it below the temperature of the coldest of the surrounding objects.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;通过无生命物质的作用，不可能通过将物质的任何部分冷却到低于周围物体最冷的温度来产生机械效应。&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能通过无生命物质的作用，将物质的任何部分冷却到低于周围物体最低的温度并产生'''&amp;lt;font color = '#ff8000'&amp;gt;机械效应 Mechanical Effect&amp;lt;/font&amp;gt;'''。&amp;lt;/font&amp;gt;&lt;br /&gt;
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  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）无生命物质可以意译为机器吗&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我不太懂这个，不过感觉最好不要吧。&lt;br /&gt;
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===Equivalence of the Clausius and the Kelvin statements克劳修斯和开尔文表述的等价性===&lt;br /&gt;
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[[Image:Deriving Kelvin Statement from Clausius Statement.svg|thumb|Derive Kelvin Statement from Clausius Statement从克劳修斯表述推导出开尔文表述]]&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed [[Carnot engine]] as shown by the figure. The [[Heat engine#Efficiency|efficiency]] of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; from the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the [[first law of thermodynamics]], as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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Suppose there is an engine violating the Kelvin statement: i.e., one that drains heat and converts it completely into work in a cyclic fashion without any other result. Now pair it with a reversed Carnot engine as shown by the figure. The efficiency of a normal heat engine is η and so the efficiency of the reversed heat engine is 1/η. The net and sole effect of the combined pair of engines is to transfer heat from &amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; the cooler reservoir to the hotter one, which violates the Clausius statement. (This is a consequence of the first law of thermodynamics, as for the total system's energy to remain the same, &amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;, so therefore &amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt; ). Thus a violation of the Kelvin statement implies a violation of the Clausius statement, i.e. the Clausius statement implies the Kelvin statement. We can prove in a similar manner that the Kelvin statement implies the Clausius statement, and hence the two are equivalent.&lt;br /&gt;
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假设有一个热机违反了开尔文定理: 也就是说，这个热机以循环的方式吸收热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;并将其&amp;lt;font color = 'blue'&amp;gt;完全&amp;lt;/font&amp;gt;转化为功，而&amp;lt;font color = 'blue'&amp;gt;且&amp;lt;/font&amp;gt;不产生任何影响。现&amp;lt;font color = 'blue'&amp;gt;在将其&amp;lt;/font&amp;gt;与反向卡诺&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;发动&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;机&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;相对应&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;比较&amp;lt;/font&amp;gt;，如图所示。&lt;br /&gt;
普通热机的效率为η，反向热机的效率为1/η。这对&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;热机的联合作用为&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;联合热机的净效应和唯一效应是&amp;lt;/font&amp;gt;&amp;lt;math&amp;gt;\Delta Q=Q\left(\frac{1}{\eta}-1\right)&amp;lt;/math&amp;gt; 将热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;从较冷热源&amp;lt;font color = 'blue'&amp;gt;转移&amp;lt;/font&amp;gt;到较热热源，这违反了克劳修斯表述。（这是能量守恒定律的结果，因为系统的总能量保持不变&amp;lt;math&amp;gt; \text{Input}+\text{Output}=0 \implies Q-\frac{Q}{\eta} = -Q_c &amp;lt;/math&amp;gt;，所以&amp;lt;math&amp;gt; Q_c=Q\left( \frac{1}{\eta}-1\right) &amp;lt;/math&amp;gt;。）因此，违反开尔文表述意味着违反克劳修斯表述，即克劳修斯表述暗示了开尔文表述。我们可以用类似的方式证明开尔文表述暗示了克劳修斯表述，因此两者是等价的。&lt;br /&gt;
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===Planck's proposition普朗克&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;假设&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;命题&amp;lt;/font&amp;gt;===&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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Planck offered the following proposition as derived directly from experience. This is sometimes regarded as his statement of the second law, but he regarded it as a starting point for the derivation of the second law.&lt;br /&gt;
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普朗克提出了直接来自经验的如下命题。这有时被认为是他对热力学第二定律的表述，但他认为这是热力学第二定律推导的起点。&lt;br /&gt;
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::It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 86.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 319.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to construct an engine which will work in a complete cycle, and produce no effect except the raising of a weight and cooling of a heat reservoir.&lt;br /&gt;
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&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;建造一台发动机是不可能的，这台发动机将在一个完整的循环中工作，&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;不可能建造一台发动机，使其在一个完整的循环中工作，&amp;lt;/font&amp;gt;并且除了提高重量和冷却热储以外不会产生任何效果。&lt;br /&gt;
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===Relation between Kelvin's statement and Planck's proposition 开尔文表述与普朗克命题的关系===&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;[[Kelvin-Planck statement]]&amp;quot; of the law, as for example in the text by [[Dirk ter Haar|ter Haar]] and [[Harald Wergeland|Wergeland]].&amp;lt;ref&amp;gt;[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966), p. 17.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is almost customary in textbooks to speak of the &amp;quot;Kelvin-Planck statement&amp;quot; of the law, as for example in the text by ter Haar and Wergeland.&lt;br /&gt;
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教科书中几乎总是用“'''&amp;lt;font color = '#ff8000'&amp;gt;开尔文-普朗克表述 Kelvin-Planck Statement&amp;lt;/font&amp;gt;'''”来称呼该定律，例如'''&amp;lt;font color = '#ff8000'&amp;gt;德克·特哈尔 Diek ter Haar&amp;lt;/font&amp;gt;''' 和'''&amp;lt;font color = '#ff8000'&amp;gt;哈拉尔德·沃格兰 Harald Wergeland&amp;lt;/font&amp;gt;''' 就是这样表述的。&lt;br /&gt;
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The '''Kelvin–Planck statement''' (or the ''heat engine statement'') of the second law of thermodynamics states that &lt;br /&gt;
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The Kelvin–Planck statement (or the heat engine statement) of the second law of thermodynamics states that &lt;br /&gt;
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热力学第二定律的开尔文-普朗克表述（或称“'''&amp;lt;font color = '#ff8000'&amp;gt;热机表述 Heat Engine Statement&amp;lt;/font&amp;gt;'''”）指出&lt;br /&gt;
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::It is impossible to devise a [[thermodynamic cycle|cyclically]] operating device, the sole effect of which is to absorb energy in the form of heat from a single [[heat reservoir|thermal reservoir]] and to deliver an equivalent amount of [[Work (physics)|work]].&amp;lt;ref name=&amp;quot;Rao&amp;quot;&amp;gt;{{cite book|last=Rao|first=Y. V. C.|title=Chemical Engineering Thermodynamics|publisher=Universities Press|isbn=978-81-7371-048-3|page=158|year=1997}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It is impossible to devise a cyclically operating device, the sole effect of which is to absorb energy in the form of heat from a single thermal reservoir and to deliver an equivalent amount of work.&lt;br /&gt;
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设计一种唯一效果是从单一热源吸收热并提供等量的功的循环运行装置是不可能的。&lt;br /&gt;
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===Planck's statement 普朗克表述===&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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Planck stated the second law as follows.&lt;br /&gt;
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普朗克表述第二定律如下。&lt;br /&gt;
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::Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&amp;lt;ref name=&amp;quot;Planck 100&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 100.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Planck 463&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 463, translation by Uffink, J. (2003), p. 131.&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Roberts &amp;amp; Miller 382&amp;quot;&amp;gt;Roberts, J.K., Miller, A.R. (1928/1960), p. 382. This source is partly verbatim from Planck's statement, but does not cite Planck. This source calls the statement the principle of the increase of entropy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Every process occurring in nature proceeds in the sense in which the sum of the entropies of all bodies taking part in the process is increased. In the limit, i.e. for reversible processes, the sum of the entropies remains unchanged.&lt;br /&gt;
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自然界中发生的任一过程都是沿参与其中的所有物体的熵之和增加的方向进行的。在极限情况中，即对于可逆过程，熵的总和保持不变。&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for ''irreversible phenomena''.&lt;br /&gt;
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Rather like Planck's statement is that of Uhlenbeck and Ford for irreversible phenomena.&lt;br /&gt;
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与普朗克表述非常相似的是'''&amp;lt;font color = '#ff8000'&amp;gt;乌伦贝克 Uhlenbeck&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;福特 Ford&amp;lt;/font&amp;gt;'''关于不可逆现象的表述。&lt;br /&gt;
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::... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&amp;lt;ref&amp;gt;[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963), p. 16.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... in an irreversible or spontaneous change from one equilibrium state to another (as for example the equalization of temperature of two bodies A and B, when brought in contact) the entropy always increases.&lt;br /&gt;
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……在从一个平衡态到另一个平衡态的不可逆或自发的变化中（例如，当两个物体 A 和 B 接触时的温度平衡过程），熵总是增加。&lt;br /&gt;
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===Principle of Carathéodory 卡拉西奥多里原理===&lt;br /&gt;
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&amp;lt;!-- [[Caratheodory's principle]] redirects here --&amp;gt;&lt;br /&gt;
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&amp;lt;!-- Caratheodory's principle redirects here --&amp;gt;&lt;br /&gt;
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—— caratheodory 的原理在这里重新定向——&lt;br /&gt;
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[[Constantin Carathéodory]] formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&amp;lt;ref&amp;gt;[[Constantin Carathéodory|Carathéodory, C.]] (1909).&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Constantin Carathéodory formulated thermodynamics on a purely mathematical axiomatic foundation. His statement of the second law is known as the Principle of Carathéodory, which may be formulated as follows:&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;康斯坦丁·卡拉西奥多里 Constantin Carathéodory&amp;lt;/font&amp;gt;'''在纯数学公理的基础上进行了热力学'''&amp;lt;font color = '#ff8000'&amp;gt;公理化formulated&amp;lt;/font&amp;gt;'''阐明。他对第二定律的陈述被称为'''&amp;lt;font color = '#ff8000'&amp;gt;卡拉西奥多里原理 Principle of Carathéodory&amp;lt;/font&amp;gt;'''，可以这样表述:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 68.&amp;lt;/ref&amp;gt;&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;In every neighborhood of any state S of an adiabatically enclosed system there are states inaccessible from S.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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在绝热封闭系统的任意状态 S 附近，总有从 S 出发不可达的状态。&lt;br /&gt;
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With this formulation, he described the concept of [[adiabatic accessibility]] for the first time and provided the foundation for a new subfield of classical thermodynamics, often called [[Ruppeiner geometry|geometrical thermodynamics]]. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic [[process function]], in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;Sychev1991&amp;quot;&amp;gt;{{cite book |last=Sychev |first=V. V. |title=The Differential Equations of Thermodynamics |year=1991 |publisher=Taylor &amp;amp; Francis |isbn=978-1-56032-121-7}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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With this formulation, he described the concept of adiabatic accessibility for the first time and provided the foundation for a new subfield of classical thermodynamics, often called geometrical thermodynamics. It follows from Carathéodory's principle that quantity of energy quasi-statically transferred as heat is a holonomic process function, in other words, &amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;. &lt;br /&gt;
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通过这个阐明，他首次描述了'''&amp;lt;font color = '#ff8000'&amp;gt;绝热可达性 Adiabatic Accessibility&amp;lt;/font&amp;gt;'''的概念，并为经典热力学的一个新的子领域，即通常所说的'''&amp;lt;font color = '#ff8000'&amp;gt;几何热力学  Geometrical Thermodynamics&amp;lt;/font&amp;gt;'''&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;奠定了基础&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;。由卡拉西奥多里原理可以推出，作为热的能量的准静态转移是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数holonomic process function&amp;lt;/font&amp;gt;'''即&amp;lt;math&amp;gt;\delta Q=TdS&amp;lt;/math&amp;gt;。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）准静态转移的热量值是一个可积过程函数 存疑&lt;br /&gt;
 --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）本句的修改供讨论。可积函数的英文应该是Integrable function。但是什么是完整的函数存疑，是连续的函数？&lt;br /&gt;
 --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）这里建议标注一下'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 完整的过程函数 holonomic process function&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）奠定了基础为何要删????????????????????????????????????????&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;&amp;gt;Münster, A. (1970), p. 45.&amp;lt;/ref&amp;gt;{{sfnp|Lieb|Yngvason|1999|p=49}}&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;&amp;gt;[[Max Planck|Planck, M.]] (1926).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Buchdahl, H.A. (1966), p. 69.&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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Though it is almost customary in textbooks to say that Carathéodory's principle expresses the second law and to treat it as equivalent to the Clausius or to the Kelvin-Planck statements, such is not the case. To get all the content of the second law, Carathéodory's principle needs to be supplemented by Planck's principle, that isochoric work always increases the internal energy of a closed system that was initially in its own internal thermodynamic equilibrium. &lt;br /&gt;
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尽管在教科书几乎惯称卡拉西奥多里原理也是第二定律的一种表述，并认为其与克劳修斯表述或开尔文-普朗克表述等价，但事实并非如此。为了得到第二定律的所有内容，需要对卡拉西奥多里原理补充普朗克表述，即等量功总是增加一个最初处于自身内部热力学平衡的封闭系统的内部能量。&lt;br /&gt;
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===Planck's principle 普朗克原理===&lt;br /&gt;
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In 1926, [[Max Planck]] wrote an important paper on the basics of thermodynamics.&amp;lt;ref name=&amp;quot;Planck 1926&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Uffink, J. (2003), pp. 129–132.&amp;lt;/ref&amp;gt; He indicated the principle&lt;br /&gt;
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In 1926, Max Planck wrote an important paper on the basics of thermodynamics. He indicated the principle&lt;br /&gt;
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1926年，'''&amp;lt;font color = '#ff8000'&amp;gt;马克斯·普朗克 Max Planck&amp;lt;/font&amp;gt;'''写了一篇关于热力学基础的重要论文。他指出了以下原理&lt;br /&gt;
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::The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&amp;lt;ref name=&amp;quot;Munster 45&amp;quot;/&amp;gt;{{sfnp |Lieb|Yngvason|1999|p=49}}&lt;br /&gt;
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The internal energy of a closed system is increased by an adiabatic process, throughout the duration of which, the volume of the system remains constant.&lt;br /&gt;
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一个封闭系统的内部能量因绝热过程增加，在整个过程中，系统的体积保持不变。&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot;&amp;lt;ref&amp;gt;[[Clifford Truesdell|Truesdell, C.]], Muncaster, R.G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 15.&amp;lt;/ref&amp;gt; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1897/1903), p. 81.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Max Planck|Planck, M.]] (1926), p. 457, Wikipedia editor's translation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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This formulation does not mention heat and does not mention temperature, nor even entropy, and does not necessarily implicitly rely on those concepts, but it implies the content of the second law. A closely related statement is that &amp;quot;Frictional pressure never does positive work.&amp;quot; Planck wrote: &amp;quot;The production of heat by friction is irreversible.&amp;quot;&lt;br /&gt;
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这个公式没有提到热，没有提到温度，甚至没有提到熵，也不一定隐含地依赖于这些概念，但它暗示了第二定律的内容。一个密切相关的表述为，“摩擦力从来不做正功。”普朗克写道: “摩擦生热是不可逆的。”&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 149.&amp;lt;/ref&amp;gt; It is relevant that for a system at constant volume and [[Mole (unit)|mole numbers]], the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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Not mentioning entropy, this principle of Planck is stated in physical terms. It is very closely related to the Kelvin statement given just above. It is relevant that for a system at constant volume and mole numbers, the entropy is a monotonic function of the internal energy. Nevertheless, this principle of Planck is not actually Planck's preferred statement of the second law, which is quoted above, in a previous sub-section of the present section of this present article, and relies on the concept of entropy.&lt;br /&gt;
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这个普朗克定理没有提到熵，是用物理术语来表述的。它与上面给出的开尔文表述密切相关。相关的是，对于恒定体积和摩尔数的系统，熵是内能的单调函数。然而，普朗克的这个原理实际上并不是普朗克对第二定律的首选表述（见前面小节），而是依赖于熵的概念。&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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A statement that in a sense is complementary to Planck's principle is made by Borgnakke and Sonntag. They do not offer it as a full statement of the second law:&lt;br /&gt;
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Borgnakke 和 Sonntag 提出的以下表述在某种意义上是对普朗克原理的补充。他们没有将其作为第二定律的完整表述:&lt;br /&gt;
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::... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&amp;lt;ref&amp;gt;Borgnakke, C., Sonntag., R.E. (2009), p. 304.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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... there is only one way in which the entropy of a [closed] system can be decreased, and that is to transfer heat from the system.&lt;br /&gt;
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……只有一种方法可以减少（封闭）系统的熵，将热从系统中转移出去。&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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Differing from Planck's just foregoing principle, this one is explicitly in terms of entropy change. Removal of matter from a system can also decrease its entropy.&lt;br /&gt;
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与普朗克之前提出的原理不同，这一原理明确地用熵的变化来表示。从系统中去除物质也可以减少系统的熵。&lt;br /&gt;
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===Statement for a system that has a known expression of its internal energy as a function of its extensive state variables 一个其内能有已知表达式（其扩展状态变量的函数）的系统的表述===&lt;br /&gt;
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The second law has been shown to be equivalent to the [[internal energy]] ''U'' being a weakly [[convex function]], when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;ref&amp;gt;{{cite book |last1=van Gool |first1=W. |last2=Bruggink |first2=J.J.C. (Eds) |url= |title=Energy and time in the economic and physical sciences |publisher=North-Holland |year=1985 |pages=41–56 |quote= |isbn=978-0-444-87748-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Grubbström | first1 = Robert W. | doi = 10.1016/j.apenergy.2007.01.003 | title = An Attempt to Introduce Dynamics Into Generalised Exergy Considerations| journal = Applied Energy| volume = 84| issue = 7–8 | pages = 701–718 | year = 2007}}&amp;lt;/ref&amp;gt; {{clarify|date=February 2014}}&lt;br /&gt;
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The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...). &lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;写成广泛性质（质量，体积，熵……）的函数时，第二定律被证明等价于弱凸函数内能 U。The second law has been shown to be equivalent to the internal energy U being a weakly convex function, when written as a function of extensive properties (mass, volume, entropy, ...).&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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==Corollaries 推论==&lt;br /&gt;
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===Perpetual motion of the second kind 第二类永动机===&lt;br /&gt;
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{{main article|Perpetual motion}}&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of [[first law of thermodynamics]] by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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Before the establishment of the second law, many people who were interested in inventing a perpetual motion machine had tried to circumvent the restrictions of first law of thermodynamics by extracting the massive internal energy of the environment as the power of the machine. Such a machine is called a &amp;quot;perpetual motion machine of the second kind&amp;quot;. The second law declared the impossibility of such machines.&lt;br /&gt;
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在第二定律建立之前，许多志在发明永动机的人试图通过提取环境的巨大内能作为机器动力，以突破'''热力学第一定律 First Law of Thermodynamics''' 的限制。这种机器被称为“'''第二类永动机 Perpetual Motion Machine of the Second Kind'''”。热力学第二定律表明这种机器是不可能的。&lt;br /&gt;
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===Carnot theorem 卡诺定理===&lt;br /&gt;
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[[Carnot theorem (thermodynamics)|Carnot's theorem]] (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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Carnot's theorem (1824) is a principle that limits the maximum efficiency for any possible engine. The efficiency solely depends on the temperature difference between the hot and cold thermal reservoirs. Carnot's theorem states:&lt;br /&gt;
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'''卡诺定理 Carnot's Theorem'''（1824）是一条限制任何可能的热机的最大效率的原理。效率完全取决于热源中热和冷之间的温差。 卡诺定理指出:&lt;br /&gt;
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*All irreversible heat engines between two heat reservoirs are less efficient than a [[Carnot engine]] operating between the same reservoirs.&lt;br /&gt;
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*All reversible heat engines between two heat reservoirs are equally efficient with a Carnot engine operating between the same reservoirs.&lt;br /&gt;
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* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;不可逆热机的效率低于在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺热机 Carnot Engine&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
* 所有&amp;lt;font color = 'blue'&amp;gt;在两个热源之间工作的&amp;lt;/font&amp;gt;可逆热机的效率与在&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;两相同&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt;&amp;lt;font color = 'blue'&amp;gt;同一个&amp;lt;/font&amp;gt;热源之间工作的卡诺机相等。&lt;br /&gt;
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 --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）改成同一个正确吗??????????????????????????&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as [[thermodynamic reversibility]]. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the [[Carnot cycle]]'s reversibility and was condemned to be less efficient.&lt;br /&gt;
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In his ideal model, the heat of caloric converted into work could be reinstated by reversing the motion of the cycle, a concept subsequently known as thermodynamic reversibility. Carnot, however, further postulated that some caloric is lost, not being converted to mechanical work. Hence, no real heat engine could realise the Carnot cycle's reversibility and was condemned to be less efficient.&lt;br /&gt;
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在他的理想模型中，热转化为功的过程可以通过逆转循环的运动而恢复，这个概念后来被称为'''&amp;lt;font color = '#ff8000'&amp;gt;热力学可逆性 Thermodynamic Reversibility&amp;lt;/font&amp;gt;'''。然而，卡诺进一步假定，一些热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;损失了，并没有转化为机械功。因此，没有一个真实的热机能够实现'''&amp;lt;font color = '#ff8000'&amp;gt;卡诺循环 Carnot Cycle&amp;lt;/font&amp;gt;'''的可逆性，并且被认为效率较低。&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete [[caloric theory]]), rather than [[entropy]], this was an early insight into the second law.&lt;br /&gt;
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Though formulated in terms of caloric (see the obsolete caloric theory), rather than entropy, this was an early insight into the second law.&lt;br /&gt;
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该理论尽管是用热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;表述的（见被取代的'''&amp;lt;font color = '#ff8000'&amp;gt;热质说&amp;lt;/font&amp;gt;'''），而不是熵，但是它是对第二定律的早期认识。&lt;br /&gt;
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===Clausius inequality 克劳修斯不等式===&lt;br /&gt;
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The [[Clausius theorem]] (1854) states that in a cyclic process&lt;br /&gt;
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The Clausius theorem (1854) states that in a cyclic process&lt;br /&gt;
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'''&amp;lt;font color = '#ff8000'&amp;gt;克劳修斯定理 Clausius Theorem&amp;lt;/font&amp;gt;'''（1854）指出，在一个循环的过程中&lt;br /&gt;
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: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T} \leq 0.&amp;lt;/math&amp;gt;&lt;br /&gt;
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The equality holds in the reversible case&amp;lt;ref&amp;gt;[http://scienceworld.wolfram.com/physics/ClausiusTheorem.html ''Clausius theorem''] at [[Wolfram Research]]&amp;lt;/ref&amp;gt; and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function [[entropy]]. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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The equality holds in the reversible case and the strict inequality holds in the irreversible case. The reversible case is used to introduce the state function entropy. This is because in cyclic processes the variation of a state function is zero from state functionality.&lt;br /&gt;
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等号在可逆情况下成立，严格不等号在不可逆情况下成立。可逆情况下引入状态函数熵。'''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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  --[[用户:Dorr|Dorr]]（[[用户讨论:Dorr|讨论]]）末句存疑&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 我也没看懂，按照字面意思修改了一下&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）感觉修改后的句子还是怪怪的，这里标成疑难句吧 '''&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;这是因为在循环过程中，状态功能的变化相对于状态功能为零。This is because in cyclic processes the variation of a state function is zero from state functionality.&amp;lt;/font&amp;gt;'''&lt;br /&gt;
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===Thermodynamic temperature 热力学温度===&lt;br /&gt;
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{{main article|Thermodynamic temperature}}&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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For an arbitrary heat engine, the efficiency is:&lt;br /&gt;
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对于任意热机，效率为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\eta = \frac {W_n}{q_H} = \frac{q_H-q_C}{q_H} = 1 - \frac{q_C}{q_H} \qquad (1)&amp;lt;/math&amp;gt;&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; is for the net work done per cycle. Thus the efficiency depends only on q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
其中 ''W''&amp;lt;sub&amp;gt;n&amp;lt;/sub&amp;gt; 表示每个循环所做的净功。因此效率只取决于 q&amp;lt;sub&amp;gt;C&amp;lt;/sub&amp;gt;/q&amp;lt;sub&amp;gt;H&amp;lt;/sub&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Carnot theorem (thermodynamics)|Carnot's theorem]] states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
&lt;br /&gt;
Carnot's theorem states that all reversible engines operating between the same heat reservoirs are equally efficient.&lt;br /&gt;
&lt;br /&gt;
卡诺定理指出，所有在相同热源间运行的可逆热机的效率是相同的。&lt;br /&gt;
&lt;br /&gt;
Thus, any reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
&lt;br /&gt;
Thus, any reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; must have the same efficiency, that is to say, the efficiency is the function of temperatures only: &lt;br /&gt;
&lt;br /&gt;
因此，任何在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;和''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间运行的可逆热机必须具有相同的效率，也就是说，效率只是温度的函数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\frac{q_C}{q_H} = f(T_H,T_C)\qquad (2).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In addition, a reversible heat engine operating between temperatures ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In addition, a reversible heat engine operating between temperatures T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; must have the same efficiency as one consisting of two cycles, one between T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; and another (intermediate) temperature T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, and the second between T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; andT&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;. This can only be the case if&lt;br /&gt;
&lt;br /&gt;
另外，在温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间工作的可逆热机必须具有与由分别在温度''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 和（中间）温度 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;之间、在 ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; 之间的两个循环组成的系统效率相同。只有下式成立才会出现这种情况:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_1,T_3) = \frac{q_3}{q_1} = \frac{q_2 q_3} {q_1 q_2} = f(T_1,T_2)f(T_2,T_3).&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the [[triple point]] of water. Then for any ''T''&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and ''T''&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
Now consider the case where &amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; is a fixed reference temperature: the temperature of the triple point of water. Then for any T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
现在考虑如下情形，&amp;lt;math&amp;gt;T_1&amp;lt;/math&amp;gt; 是一个固定的参考温度: 水的&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''&amp;lt;font color = '#ff8000'&amp;gt;三相点 Triple Point&amp;lt;/font&amp;gt;'''&amp;lt;/font&amp;gt;的温度。则对于任意 T&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; 和 T&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{f(T_1,T_3)}{f(T_1,T_2)} = \frac{273.16 \cdot f(T_1,T_3)}{273.16 \cdot f(T_1,T_2)}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
Therefore, if thermodynamic temperature is defined by&lt;br /&gt;
&lt;br /&gt;
因此，如果热力学温度被定义为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;T = 273.16 \cdot f(T_1,T) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
then the function ''f'', viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
then the function f, viewed as a function of thermodynamic temperature, is simply&lt;br /&gt;
&lt;br /&gt;
那么函数 ''f'' 作为热力学温度的函数，为&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f(T_2,T_3) = \frac{T_3}{T_2},&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
and the reference temperature ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used{{snd}}the choice here corresponds to the [[Kelvin]] scale.)&lt;br /&gt;
&lt;br /&gt;
and the reference temperature T&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; will have the value 273.16. (Any reference temperature and any positive numerical value could be used the choice here corresponds to the Kelvin scale.)&lt;br /&gt;
&lt;br /&gt;
参考温度 ''T''&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt; 的值为273.16。（任何参考温度和任何正值均可用——此处的选择对应开尔文标度。）&lt;br /&gt;
&lt;br /&gt;
===Entropy 熵===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{{main article|Entropy (classical thermodynamics)}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the [[Clausius theorem|Clausius equality]], for a reversible process&lt;br /&gt;
&lt;br /&gt;
According to the Clausius equality, for a reversible process&lt;br /&gt;
&lt;br /&gt;
根据克劳修斯等式，对可逆过程有&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\oint \frac{\delta Q}{T}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
That means the line integral &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; is path independent for reversible processes.&lt;br /&gt;
&lt;br /&gt;
这意味着线积分 &amp;lt;math&amp;gt;\int_L \frac{\delta Q}{T}&amp;lt;/math&amp;gt; 对于可逆过程是路径无关的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer&amp;lt;ref name=&amp;quot;Schmidt-Rohr 14&amp;quot; /&amp;gt; satisfies&lt;br /&gt;
&lt;br /&gt;
So we can define a state function S called entropy, which for a reversible process or for pure heat transfer satisfies&lt;br /&gt;
&lt;br /&gt;
所以我们可以定义一个叫做熵的状态函数 S，对于可逆过程或者纯热传递满足&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \frac{\delta Q}{T} \!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the [[third law of thermodynamics]], which states that ''S'' = 0 at [[absolute zero]] for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
With this we can only obtain the difference of entropy by integrating the above formula. To obtain the absolute value, we need the third law of thermodynamics, which states that S = 0 at absolute zero for perfect crystals.&lt;br /&gt;
&lt;br /&gt;
据此，只有对上述公式进行积分，才能得到熵的差值。为了获得绝对值，我们需要&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''热力学第三定律 Third Law of Thermodynamics'''&amp;lt;/font&amp;gt;，它指出&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝对零度 Absolute Zero'''&amp;lt;/font&amp;gt;下完美晶体的 ''S'' = 0。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
For any irreversible process, since entropy is a state function, we can always connect the initial and terminal states with an imaginary reversible process and integrating on that path to calculate the difference in entropy.&lt;br /&gt;
&lt;br /&gt;
对于任意不可逆过程，由于熵是一个状态函数，我们总是可以将初始状态和最终状态与一个虚拟的可逆过程联系起来，并在这条路径上积分以计算熵的差值。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the [[Clausius inequality]] on this loop,&lt;br /&gt;
&lt;br /&gt;
Now reverse the reversible process and combine it with the said irreversible process. Applying the Clausius inequality on this loop,&lt;br /&gt;
&lt;br /&gt;
现在把可逆过程逆过来，将其与上述不可逆过程结合。把克劳修斯不等式应用到这个循环,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;-\Delta S+\int\frac{\delta Q}{T}=\oint\frac{\delta Q}{T}&amp;lt; 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
Thus,&lt;br /&gt;
&lt;br /&gt;
故,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta S \ge \int \frac{\delta Q}{T} \,\!&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
where the equality holds if the transformation is reversible.&lt;br /&gt;
&lt;br /&gt;
如果变换可逆，等号成立。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an [[adiabatic process]], then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
Notice that if the process is an adiabatic process, then &amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;, so &amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
注意，若该过程是一个&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;'''绝热过程 Adiabatic Process'''&amp;lt;/font&amp;gt;，则&amp;lt;math&amp;gt;\delta Q=0&amp;lt;/math&amp;gt;，故&amp;lt;math&amp;gt;\Delta S\ge 0&amp;lt;/math&amp;gt;。&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
===Energy, available useful work===&lt;br /&gt;
&lt;br /&gt;
能量，可用的有用工作&lt;br /&gt;
&lt;br /&gt;
{{See also|Exergy}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an ''unlimited'' heat reservoir at temperature ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' and pressure ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' {{snd}}so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain ''T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain ''P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;''.&lt;br /&gt;
&lt;br /&gt;
An important and revealing idealized special case is to consider applying the Second Law to the scenario of an isolated system (called the total system or universe), made up of two parts: a sub-system of interest, and the sub-system's surroundings. These surroundings are imagined to be so large that they can be considered as an unlimited heat reservoir at temperature T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; and pressure P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; so that no matter how much heat is transferred to (or from) the sub-system, the temperature of the surroundings will remain T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;; and no matter how much the volume of the sub-system expands (or contracts), the pressure of the surroundings will remain P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;.&lt;br /&gt;
&lt;br /&gt;
考虑将第二定律应用于孤立系统(称为整体系统或宇宙)是一个重要而具有启发性的理想情形。该系统由两部分组成：研究关心的子系统和子系统的周围环境。因为想象的环境非常大，以至于它们可以被视为一个温度为 T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 且压力为 P&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; 的无限热源，因此无论有多少热被转移到（或来自）子系统，周围的温度将保持T&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;；无论子系统的体积膨胀（或收缩）有多大，周围环境的压力都将保持不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Whatever changes to ''dS'' and ''dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;'' occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy ''S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;'' of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
Whatever changes to dS and dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; occur in the entropies of the sub-system and the surroundings individually, according to the Second Law the entropy S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt; of the isolated total system must not decrease:&lt;br /&gt;
&lt;br /&gt;
无论子系统和周围环境单独地发生什么熵的变化 ''dS''和dS&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt;&amp;lt;/font&amp;gt;，根据第二定律，孤立总体系统的熵S&amp;lt;sub&amp;gt;tot&amp;lt;/sub&amp;gt;不能减小。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt; dS_{\mathrm{tot}}= dS + dS_R \ge 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
According to the [[first law of thermodynamics]], the change ''dU'' in the internal energy of the sub-system is the sum of the heat ''δq'' added to the sub-system, ''less'' any work ''δw'' done ''by'' the sub-system, ''plus'' any net chemical energy entering the sub-system ''d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;'', so that:&lt;br /&gt;
&lt;br /&gt;
According to the first law of thermodynamics, the change dU in the internal energy of the sub-system is the sum of the heat δq added to the sub-system, less any work δw done by the sub-system, plus any net chemical energy entering the sub-system d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;, so that:&lt;br /&gt;
&lt;br /&gt;
根据热力学第一定律，子系统内能的变化 dU 是加在子系统上的热δq的和&amp;lt;font color = 'blue'&amp;gt;&amp;lt;/font&amp;gt;，减去子系统所做的任何功w，再加上进入子系统的任何净化学能 d ∑μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;N&amp;lt;sub&amp;gt;i&amp;lt;/sub&amp;gt;，因此&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dU = \delta q - \delta w + d(\sum \mu_{iR}N_i) \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the [[chemical potential]]s of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
where μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt; are the chemical potentials of chemical species in the external surroundings.&lt;br /&gt;
&lt;br /&gt;
其中μ&amp;lt;sub&amp;gt;iR&amp;lt;/sub&amp;gt;是外部环境中'''&amp;lt;font color = '#ff8000'&amp;gt;化学形态 chemical species&amp;lt;/font&amp;gt;'''的化学势。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
Now the heat leaving the reservoir and entering the sub-system is&lt;br /&gt;
&lt;br /&gt;
现在热量离开热源进入子系统是&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta q = T_R (-dS_R) \le T_R dS &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学△ qtr (- dS r) le tr dS / math&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
where we have first used the definition of entropy in classical thermodynamics (alternatively, in statistical thermodynamics, the relation between entropy change, temperature and absorbed heat can be derived); and then the Second Law inequality from above.&lt;br /&gt;
&lt;br /&gt;
在这个过程中，首先使用了经典热力学中熵的定义(在统计热力学中，熵变、温度和吸收热量之间的关系'''&amp;lt;font color = '#32CD32'&amp;gt;可以将其推导出来 can be derived&amp;lt;/font&amp;gt;''') ，然后从上面的公式可以推导出第二定律的不等式。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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It therefore follows that any net work ''δw'' done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
It therefore follows that any net work δw done by the sub-system must obey&lt;br /&gt;
&lt;br /&gt;
因此，子系统所做的任何净功δw必须服从&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w \le - dU + T_R dS + \sum \mu_{iR} dN_i \,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
数学增量 w  le-dU + tds + sum  mu { iR } dN i，/ math&lt;br /&gt;
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&lt;br /&gt;
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It is useful to separate the work ''δw'' done by the subsystem into the ''useful'' work ''δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt;'' that can be done ''by'' the sub-system, over and beyond the work ''p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV'' done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
It is useful to separate the work δw done by the subsystem into the useful work δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; that can be done by the sub-system, over and beyond the work p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV done merely by the sub-system expanding against the surrounding external pressure, giving the following relation for the useful work (exergy) that can be done:&lt;br /&gt;
&lt;br /&gt;
将子系统所做的功δw划分为子系统可以完成的有用功δw&amp;lt;sub&amp;gt;u&amp;lt;/sub&amp;gt; ，除了子系统在周围外部压力下膨胀所做的功p&amp;lt;sub&amp;gt;R&amp;lt;/sub&amp;gt; dV外，给出以下可用功（'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''）关系式:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; \delta w_u \le -d (U - T_R S + p_R V - \sum \mu_{iR} N_i )\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the ''availability'' or ''[[exergy]]'' ''E'' of the subsystem,&lt;br /&gt;
&lt;br /&gt;
It is convenient to define the right-hand-side as the exact derivative of a thermodynamic potential, called the availability or exergy E of the subsystem,&lt;br /&gt;
&lt;br /&gt;
为方便起见，可以把右边定义为热力学势的精确导数，称为子系统的'''&amp;lt;font color = 'ff8000'&amp;gt;可用性 Availability &amp;lt;/font&amp;gt;'''或'''&amp;lt;font color = 'ff8000'&amp;gt;有用能 exergy&amp;lt;/font&amp;gt;'''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; E = U - T_R S + p_R V - \sum \mu_{iR} N_i &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;#32CD32&amp;quot;&amp;gt;因此，第二定律意味着，对于任何可以简单地被视为分为一个子系统和一个与之接触的无限温度和压力&amp;lt;font color = 'red'&amp;gt;&amp;lt;s&amp;gt;储存器&amp;lt;/s&amp;gt;&amp;lt;/font&amp;gt; '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;热源 Reservoir&amp;lt;/font&amp;gt;''' 的过程，The Second Law therefore implies that for any process which can be considered as divided simply into a subsystem, and an unlimited temperature and pressure reservoir with which it is in contact,&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt; dE + \delta w_u \le 0 \, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done ''by'' the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done ''on'' the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
i.e. the change in the subsystem's exergy plus the useful work done by the subsystem (or, the change in the subsystem's exergy less any work, additional to that done by the pressure reservoir, done on the system) must be less than or equal to zero.&lt;br /&gt;
&lt;br /&gt;
也就是。子系统有用能的变化加上子系统所做的有用功(或者，子系统有用能的变化减去除了'''&amp;lt;font color = '#ff8000'&amp;gt;压力热源&amp;lt;/font&amp;gt;'''外任何对系统做的功&amp;lt;/font&amp;gt;)必须小于或等于零。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper ''infinite-reservoir-like'' reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in ''E'' for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
In sum, if a proper infinite-reservoir-like reference state is chosen as the system surroundings in the real world, then the Second Law predicts a decrease in E for an irreversible process and no change for a reversible process.&lt;br /&gt;
&lt;br /&gt;
总之，如果选择一个合适的类似于无限库的参考状态作为现实世界中的系统环境，&lt;br /&gt;
则第二定律预测不可逆过程的''E''值减少，可逆过程的''E''值不变。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS_{tot} \ge 0 &amp;lt;/math&amp;gt; Is equivalent to &amp;lt;math&amp;gt; dE + \delta w_u \le 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
This expression together with the associated reference state permits a [[design engineer]] working at the macroscopic scale (above the [[thermodynamic limit]]) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (''Also, see [[process engineer]]''). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (''See [[Exergy efficiency|second law efficiency]]''.)&lt;br /&gt;
&lt;br /&gt;
This expression together with the associated reference state permits a design engineer working at the macroscopic scale (above the thermodynamic limit) to utilize the Second Law without directly measuring or considering entropy change in a total isolated system. (Also, see process engineer). Those changes have already been considered by the assumption that the system under consideration can reach equilibrium with the reference state without altering the reference state. An efficiency for a process or collection of processes that compares it to the reversible ideal may also be found (See second law efficiency.)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这个表达式和相关的参考状态允许设计工程师在宏观尺度（高于热力学极限）下使用第二定律，而无需直接测量或考虑整个孤立系统中的熵变。（另见'''&amp;lt;font color = '#ff8000'&amp;gt;工艺工程师process engineer&amp;lt;/font&amp;gt;'''）。这些变化已经在假设中被考虑到，该假设认为所考虑的系统可以在不改变参考状态的情况下与参考状态达到平衡。将其与可逆理想&amp;lt;font color = 'blue'&amp;gt;状态&amp;lt;/font&amp;gt;进行比较，还可以找到一个过程或过程集合的效率（见'''&amp;lt;font color = '#ff8000'&amp;gt;第二定律效率second law efficiency&amp;lt;/font&amp;gt;'''）&lt;br /&gt;
&lt;br /&gt;
This approach to the Second Law is widely utilized in [[engineering]] practice, [[environmental accounting]], [[systems ecology]], and other disciplines.&lt;br /&gt;
&lt;br /&gt;
This approach to the Second Law is widely utilized in engineering practice, environmental accounting, systems ecology, and other disciplines.&lt;br /&gt;
&lt;br /&gt;
第二定律的这种方法被广泛应用于'''&amp;lt;font color = '#ff8000'&amp;gt;工程实践engineering practice&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;环境会计environmental accounting&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;系统生态学systems ecology&amp;lt;/font&amp;gt;'''等其他学科。&lt;br /&gt;
&lt;br /&gt;
===The second law in chemical thermodynamics===&lt;br /&gt;
&lt;br /&gt;
化学热力学的第二定律&lt;br /&gt;
&lt;br /&gt;
For a [[spontaneous process|spontaneous chemical process]] in a closed system at constant temperature and pressure without non-''PV'' work, the Clausius inequality Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;'' transforms into a condition for the change in [[Gibbs free energy]] &lt;br /&gt;
&lt;br /&gt;
For a spontaneous chemical process in a closed system at constant temperature and pressure without non-PV work, the Clausius inequality ΔS &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt; transforms into a condition for the change in Gibbs free energy &lt;br /&gt;
&lt;br /&gt;
对于一个&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;封闭系统中的自发化学过程，在没有 non-PV 功的情况下，克劳修斯不等式Δ''S &amp;gt; Q/T&amp;lt;sub&amp;gt;surr&amp;lt;/sub&amp;gt;''由于'''&amp;lt;font color = '#ff8000'&amp;gt;吉布斯自由能Gibbs free energy&amp;lt;/font&amp;gt;'''的变化而转化为：&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Delta G &amp;lt; 0 &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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or d''G'' &amp;lt; 0. For a similar process at constant temperature and volume, the change in [[Helmholtz free energy]] must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products.&amp;lt;ref name=&amp;quot;Oxtoby8th&amp;quot;/&amp;gt; &amp;lt;ref name=&amp;quot;MortimerBook&amp;quot;&amp;gt;&amp;lt;/ref&amp;gt; The chemical equilibrium condition at constant ''T'' and ''p'' without electrical work is d''G'' = 0.&lt;br /&gt;
&lt;br /&gt;
or dG &amp;lt; 0. For a similar process at constant temperature and volume, the change in Helmholtz free energy must be negative, &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;. Thus, a negative value of the change in free energy (G or A) is a necessary condition for a process to be spontaneous. This is the most useful form of the second law of thermodynamics in chemistry, where free-energy changes can be calculated from tabulated enthalpies of formation and standard molar entropies of reactants and products. The chemical equilibrium condition at constant T and p without electrical work is dG = 0.&lt;br /&gt;
&lt;br /&gt;
或者 dG &amp;lt; 0。对于一个相似的&amp;lt;font color = 'blue'&amp;gt;恒温恒压&amp;lt;/font&amp;gt;过程，'''&amp;lt;font color = '#ff8000'&amp;gt;亥姆霍兹自由能 Helmholtz free energy &amp;lt;/font&amp;gt;'''的变化一定是负的， &amp;lt;math&amp;gt;\Delta A &amp;lt; 0 &amp;lt;/math&amp;gt;。因此，一个负的自由能(G 或 A)变化是过程自发的必要条件。这是热力学第二定律在化学中最有用的形式，其中自由能的变化可以通过'''&amp;lt;font color = '#ff8000'&amp;gt;表列生成焓 Tabulated Enthalpies of Formation&amp;lt;/font&amp;gt;'''和反应物及产物的标准摩尔熵来计算。在温度和压力&amp;lt;/font&amp;gt;不变的情况下，化学平衡条件是 dG = 0。&lt;br /&gt;
&lt;br /&gt;
  -- [[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） tabulated enthalpies of formation 表列生成焓？？&lt;br /&gt;
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==History==&lt;br /&gt;
&lt;br /&gt;
历史&lt;br /&gt;
&lt;br /&gt;
{{See also|History of entropy}}&lt;br /&gt;
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[[File:Sadi Carnot.jpeg|thumb|upright|Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique]].]]&lt;br /&gt;
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Nicolas Léonard Sadi Carnot in the traditional uniform of a student of the [[École Polytechnique.]]&lt;br /&gt;
&lt;br /&gt;
尼古拉·莱昂纳尔·萨迪·卡诺穿着传统的巴黎综合理工学院制服&lt;br /&gt;
&lt;br /&gt;
The first theory of the conversion of heat into mechanical work is due to [[Nicolas Léonard Sadi Carnot]] in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
&lt;br /&gt;
The first theory of the conversion of heat into mechanical work is due to Nicolas Léonard Sadi Carnot in 1824. He was the first to realize correctly that the efficiency of this conversion depends on the difference of temperature between an engine and its environment.&lt;br /&gt;
&lt;br /&gt;
卡诺在1824年提出热转化为机械功的第一个理论。他是第一个正确认识到了转换效率取决于发动机和环境之间的温差的人。&lt;br /&gt;
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Recognizing the significance of [[James Prescott Joule]]'s work on the conservation of energy, [[Rudolf Clausius]] was the first to formulate the second law during 1850, in this form: heat does not flow ''spontaneously'' from cold to hot bodies. While common knowledge now, this was contrary to the [[caloric theory]] of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
&lt;br /&gt;
Recognizing the significance of James Prescott Joule's work on the conservation of energy, Rudolf Clausius was the first to formulate the second law during 1850, in this form: heat does not flow spontaneously from cold to hot bodies. While common knowledge now, this was contrary to the caloric theory of heat popular at the time, which considered heat as a fluid. From there he was able to infer the principle of Sadi Carnot and the definition of entropy (1865).&lt;br /&gt;
&lt;br /&gt;
'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''认识到'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;焦耳James Prescott Joule&amp;lt;/font&amp;gt;'''在能量守恒方面工作的重要性后，在1850年提出了第二定律的第一个公式，在这个公式中: 热不会自发地从冷物体流向热物体。虽然现在这是常识，但是这与当时流行的热理论相反，当时的热理论认为热是一种流体。从这些他推断出了'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; 萨迪卡诺定律the principle of Sadi Carnot&amp;lt;/font&amp;gt;'''和熵的定义(1865年)。&lt;br /&gt;
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Established during the 19th century, the [[Kelvin-Planck statement|Kelvin-Planck statement of the Second Law]] says, &amp;quot;It is impossible for any device that operates on a [[cyclic process|cycle]] to receive heat from a single [[heat reservoir|reservoir]] and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
&lt;br /&gt;
Established during the 19th century, the Kelvin-Planck statement of the Second Law says, &amp;quot;It is impossible for any device that operates on a cycle to receive heat from a single reservoir and produce a net amount of work.&amp;quot; This was shown to be equivalent to the statement of Clausius.&lt;br /&gt;
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19世纪提出的开尔文-普朗克第二陈述(Kelvin-Planck)表示：“任何循环运行的设备都不可能从单个热源接收热并产生净功。”这被证明与克劳修斯的陈述等价。&lt;br /&gt;
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The [[ergodic hypothesis]] is also important for the [[Boltzmann]] approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
&lt;br /&gt;
The ergodic hypothesis is also important for the Boltzmann approach. It says that, over long periods of time, the time spent in some region of the phase space of microstates with the same energy is proportional to the volume of this region, i.e. that all accessible microstates are equally probable over a long period of time. Equivalently, it says that time average and average over the statistical ensemble are the same.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;遍历假设ergodic hypothesis&amp;lt;/font&amp;gt;'''对'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼方法Boltzmann approach&amp;lt;/font&amp;gt;'''也很重要。遍历假设认为在很长一段时间内，在具有相同能量的微观态相空间的某些区域所花费的时间与这个区域的体积成正比，即在很长一段时间内，所有可访问的微观状态出现/成立的可能性都是一样的。等价于说，&amp;lt;/font&amp;gt;它表明时间平均值和统计集合的平均值是相同的。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 觉得加上出现/成立好一点？&lt;br /&gt;
&lt;br /&gt;
There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a [[Macroscopic bodies|macroscopic system]]. This doctrine is obsolescent.&amp;lt;ref&amp;gt;Denbigh, K.G., Denbigh, J.S. (1985). ''Entropy in Relation to Incomplete Knowledge'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-25677-1}}, pp. 43–44.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Grandy, W.T., Jr (2008). ''Entropy and the Time Evolution of Macroscopic Systems'', Oxford University Press, Oxford, {{ISBN|978-0-19-954617-6}}, pp. 55–58.&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lambert&amp;gt;[http://entropysite.oxy.edu Entropy Sites — A Guide] Content selected by [[Frank L. Lambert]]&amp;lt;/ref&amp;gt;&lt;br /&gt;
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There is a traditional doctrine, starting with Clausius, that entropy can be understood in terms of molecular 'disorder' within a macroscopic system. This doctrine is obsolescent.&lt;br /&gt;
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克劳修斯还提出了一种传统的学说，他认为熵可以被理解为宏观系统中的'''&amp;lt;font color = '#ff8000'&amp;gt;分子“无序”molecular 'disorder'&amp;lt;/font&amp;gt;'''，但这种学说已经过时了。&lt;br /&gt;
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===Account given by Clausius===&lt;br /&gt;
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作者: 克劳修斯&lt;br /&gt;
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[[File:Clausius-1.jpg|thumb|upright|Rudolf Clausius]]&lt;br /&gt;
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Rudolf Clausius&lt;br /&gt;
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鲁道夫 · 克劳修斯&lt;br /&gt;
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In 1856, the German physicist [[Rudolf Clausius]] stated what he called the &amp;quot;second fundamental theorem in the [[mechanical theory of heat]]&amp;quot; in the following form:{{sfnp|Clausius|1867}}&lt;br /&gt;
&lt;br /&gt;
In 1856, the German physicist Rudolf Clausius stated what he called the &amp;quot;second fundamental theorem in the mechanical theory of heat&amp;quot; in the following form:&lt;br /&gt;
&lt;br /&gt;
1856年，德国物理学家'''&amp;lt;font color = '#ff8000'&amp;gt;鲁道夫 • 克劳修斯Rudolf Clausius &amp;lt;/font&amp;gt;'''阐述了他所谓的“热力学理论中的第二个基本定理second fundamental theorem in the mechanical theory of heat” ，其形式如下:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\int \frac{\delta Q}{T} = -N&amp;lt;/math&amp;gt;&lt;br /&gt;
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where ''Q'' is heat, ''T'' is temperature and ''N'' is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
&lt;br /&gt;
where Q is heat, T is temperature and N is the &amp;quot;equivalence-value&amp;quot; of all uncompensated transformations involved in a cyclical process. Later, in 1865, Clausius would come to define &amp;quot;equivalence-value&amp;quot; as entropy. On the heels of this definition, that same year, the most famous version of the second law was read in a presentation at the Philosophical Society of Zurich on April 24, in which, in the end of his presentation, Clausius concludes:&lt;br /&gt;
&lt;br /&gt;
其中 Q 是热，T 是温度，N 是一个循环过程中所有非补偿的相变的“等价值”。后来在1865年，克劳修斯将“等价值”定义为熵。基于这个理论，同一年，第二定律最著名的版本在4月24日苏黎世哲学学会的一次演讲中被提出，在演讲的最后克劳修斯总结道:&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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&amp;lt;blockquote&amp;gt;The entropy of the universe tends to a maximum.&amp;lt;/blockquote&amp;gt;&lt;br /&gt;
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宇宙的熵趋于最大&lt;br /&gt;
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This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. [[universe]], as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
&lt;br /&gt;
This statement is the best-known phrasing of the second law. Because of the looseness of its language, e.g. universe, as well as lack of specific conditions, e.g. open, closed, or isolated, many people take this simple statement to mean that the second law of thermodynamics applies virtually to every subject imaginable. This is not true; this statement is only a simplified version of a more extended and precise description.&lt;br /&gt;
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这句话是第二定律最著名的陈述。由于其语言松散模糊，如“宇宙universe”，和缺乏具体的条件，如“开放open”，“封闭closed”，或“孤立isolated”，许多人认为这一简单的陈述意味着热力学第二定律几乎适用于每一个可以想象的主题。这不是真的；这句话只是一个更广泛和更精确的描述的简化版本。&lt;br /&gt;
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In terms of time variation, the mathematical statement of the second law for an [[isolated system]] undergoing an arbitrary transformation is:&lt;br /&gt;
&lt;br /&gt;
In terms of time variation, the mathematical statement of the second law for an isolated system undergoing an arbitrary transformation is:&lt;br /&gt;
&lt;br /&gt;
就时间变化而言，&amp;lt;font color = 'blue'&amp;gt;一个&amp;lt;/font&amp;gt;经历任意变换的孤立系统&amp;lt;font color = 'blue'&amp;gt;的&amp;lt;/font&amp;gt;第二定律的数学表述是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;\frac{dS}{dt} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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where&lt;br /&gt;
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where&lt;br /&gt;
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这里''S'' 是系统的熵&lt;br /&gt;
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: ''S'' is the entropy of the system and&lt;br /&gt;
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 S is the entropy of the system and&lt;br /&gt;
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: ''t'' is [[time]].&lt;br /&gt;
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 t is time.&lt;br /&gt;
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T是时间&lt;br /&gt;
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&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- A reversible process requires equilibrium with the surroundings. This is not possible for an isolated system. Therefore, the discussion about the reversible process has been shifted to the analysis of closed systems --&amp;gt; &lt;br /&gt;
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!-- 可逆过程需要与周围环境保持平衡。这对于一个孤立的系统是不可能的。因此，关于可逆过程的讨论已经转移到对封闭系统的分析----&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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The equality sign applies after equilibration. An alternative way of formulating of the second law for isolated systems is:&lt;br /&gt;
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平衡后用等号。另一种表述孤立系统第二定律的方法是：&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of [[entropy production]] by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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with &amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt; the sum of the rate of entropy production by all processes inside the system. The advantage of this formulation is that it shows the effect of the entropy production. The rate of entropy production is a very important concept since it determines (limits) the efficiency of thermal machines. Multiplied with ambient temperature &amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt; it gives the so-called dissipated energy &amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;.&lt;br /&gt;
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用&amp;lt;math&amp;gt; \dot S_{i}&amp;lt;/math&amp;gt;表示系统内所有进程'''&amp;lt;font color = '#ff8000'&amp;gt;熵产生Entropy Production&amp;lt;/font&amp;gt;'''的速率之和。这个公式的优点是它显示了熵产生的效果。熵产生率是一个非常重要的概念，因为它决定（或限制）热机的效率。乘以环境温度&amp;lt;math&amp;gt;T_{a}&amp;lt;/math&amp;gt;，它给出所谓的耗散能&amp;lt;math&amp;gt; P_{diss}=T_{a}\dot S_{i}&amp;lt;/math&amp;gt;。&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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The expression of the second law for closed systems (so, allowing heat exchange and moving boundaries, but not exchange of matter) is:&lt;br /&gt;
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封闭系统的第二定律(允许热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;交换和移动边界，但不允许物质交换)的表达式是:&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here&lt;br /&gt;
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Here&lt;br /&gt;
这里&lt;br /&gt;
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: &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; is the heat flow into the system&lt;br /&gt;
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 &amp;lt;math&amp;gt;\dot Q&amp;lt;/math&amp;gt; 是进入系统的热流。&lt;br /&gt;
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: &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
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 &amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; is the temperature at the point where the heat enters the system.&lt;br /&gt;
&amp;lt;math&amp;gt;T&amp;lt;/math&amp;gt; 是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;进入系统时的温度。&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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The equality sign holds in the case that only reversible processes take place inside the system. If irreversible processes take place (which is the case in real systems in operation) the &amp;gt;-sign holds.  If heat is supplied to the system at several places we have to take the algebraic sum of the corresponding terms.&lt;br /&gt;
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只有在系统内发生可逆过程的情况下等号才成立&amp;lt;/font&amp;gt;如果发生不可逆过程（在实际操作系统中就是这种情况）,则“＞”成立。如果系统有多处供热，必须求相应项的代数和。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 因为是中文环境所以统一用中文标点&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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For open systems (also allowing exchange of matter):&lt;br /&gt;
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对于开放系统(也允许物质交换) :&lt;br /&gt;
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: &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\frac{dS}{dt} = \frac{\dot Q}{T}+\dot S+\dot S_{i}&amp;lt;/math&amp;gt; with &amp;lt;math&amp;gt; \dot S_{i} \ge 0&amp;lt;/math&amp;gt;&lt;br /&gt;
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Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
&lt;br /&gt;
Here &amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; is the flow of entropy into the system associated with the flow of matter entering the system. It should not be confused with the time derivative of the entropy. If matter is supplied at several places we have to take the algebraic sum of these contributions.&lt;br /&gt;
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这里&amp;lt;math&amp;gt;\dot S&amp;lt;/math&amp;gt; 是进入系统的熵流，与进入系统的物质流有关。它不应该与熵的时间导数混淆。如果物质在几个地方被供给，需要取这些贡献的代数和。&lt;br /&gt;
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==Statistical mechanics==&lt;br /&gt;
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统计力学&lt;br /&gt;
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[[Statistical mechanics]] gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a [[microstate (statistical mechanics)|microstate]] of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where ''N'' is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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Statistical mechanics gives an explanation for the second law by postulating that a material is composed of atoms and molecules which are in constant motion. A particular set of positions and velocities for each particle in the system is called a microstate of the system and because of the constant motion, the system is constantly changing its microstate. Statistical mechanics postulates that, in equilibrium, each microstate that the system might be in is equally likely to occur, and when this assumption is made, it leads directly to the conclusion that the second law must hold in a statistical sense. That is, the second law will hold on average, with a statistical variation on the order of 1/{{radic|''N''}} where N is the number of particles in the system. For everyday (macroscopic) situations, the probability that the second law will be violated is practically zero. However, for systems with a small number of particles, thermodynamic parameters, including the entropy, may show significant statistical deviations from that predicted by the second law. Classical thermodynamic theory does not deal with these statistical variations.&lt;br /&gt;
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统计力学通过假设物质是由不断运动的原子和分子组成的，来对第二定律给出了解释。系统中每个粒子的一组特定的位置和速度称为系统的微观状态，由于系统的不断运动，系统不断地改变其微观状态。统计力学假设，在平衡状态下，系统处于&amp;lt;s&amp;gt;的&amp;lt;/s&amp;gt;每个微观状态的可能性是相等的。这个假设的提出直接导致第二定律必须子啊统计学意义上成立&amp;lt;/font&amp;gt;也就是说，第二定律在平均意义上成立，其中统计学变异取决于数量级1/{{radic|''N''}}，其中 N 是系统中粒子数&amp;lt;/font&amp;gt;。在日常(宏观)情况下，违反第二定律的概率几乎为零。然而，对于粒子数量很少的系统，热力学参数，包括熵，可能显示出与第二定律预测结果的显著的统计偏差。经典热力学理论不处理这些统计变量。&lt;br /&gt;
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（by Jie XIANG) 在通过假定一种物质由不断运动的原子和分子组成的前提下，统计力学对热力学第二定律进行了解释。系统中每个粒子其特定的位置和速度组成为系统的微观状态，由于（原子和分子的）不断运动，系统也持续改变其微观状态。统计力学假设，在系统力平衡的情况下，其微观状态其实是等可能发生的，进而能够得出结论：热力学第二定律必须在统计学意义上成立。也就是说，第二定律将保持均值不变， 其统计变化为1 /√N，N为系统中的粒子数。在日常(宏观)情况下，违反热力学第二定律的概率几乎为零，但是，对于粒子数量非常少的系统，其热力学参数（包括熵）可能会显示出与第二定律所预测的明显统计偏差。然而经典热力学理论并不处理这些统计变量。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 为什么会有两个？迷茫。&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）是不是两个译者翻译的？如果第二段翻译不用，可以括号或删除线标一下&lt;br /&gt;
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==Derivation from statistical mechanics==&lt;br /&gt;
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从统计力学导出&lt;br /&gt;
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{{Further information|H-theorem}}&lt;br /&gt;
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The first mechanical argument of the [[Kinetic theory of gases]] that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to [[James Clerk Maxwell]] in 1860;&amp;lt;ref&amp;gt;{{Cite journal | last1 = Gyenis | first1 = Balazs | doi = 10.1016/j.shpsb.2017.01.001 | title = Maxwell and the normal distribution: A colored story of probability, independence, and tendency towards equilibrium | journal = Studies in History and Philosophy of Modern Physics | volume = 57 | pages = 53–65 | year = 2017| arxiv = 1702.01411 | bibcode = 2017SHPMP..57...53G }}&amp;lt;/ref&amp;gt; [[Ludwig Boltzmann]] with his [[H-theorem]] of 1872 also argued that due to collisions gases should over time tend toward the [[Maxwell–Boltzmann distribution]].&lt;br /&gt;
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The first mechanical argument of the Kinetic theory of gases that molecular collisions entail an equalization of temperatures and hence a tendency towards equilibrium was due to James Clerk Maxwell in 1860; Ludwig Boltzmann with his H-theorem of 1872 also argued that due to collisions gases should over time tend toward the Maxwell–Boltzmann distribution.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;气体动力学Kinetic theory of gases&amp;lt;/font&amp;gt;'''理论的第一个力学论证由'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦James Clerk Maxwell&amp;lt;/font&amp;gt;'''在1860年给出，指出分子碰撞引起温度均衡化，因此整体趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;平衡 Equilibrium &amp;lt;/font&amp;gt;'''； '''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;玻尔兹曼Ludwig Boltzmann&amp;lt;/font&amp;gt;'''在1872年提出的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt; H 定理H-theorem&amp;lt;/font&amp;gt;'''也认为，气体由于碰撞应该随着时间的推移趋向于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;麦克斯韦-波兹曼分布Maxwell–Boltzmann distribution&amp;lt;/font&amp;gt;'''。&lt;br /&gt;
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Due to [[Loschmidt's paradox]], derivations of the Second Law have to make an assumption regarding the past, namely that the system is [[Correlation and dependence|uncorrelated]] at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a [[boundary condition]], and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the [[Big Bang]]), though [[Boltzmann brain|other scenarios]] have also been suggested.&amp;lt;ref name=&amp;quot;Hawking AOT&amp;quot;&amp;gt;{{cite journal|last=Hawking|first=SW|title=Arrow of time in cosmology|journal=Phys. Rev. D|year=1985|volume=32|issue=10|pages=2489–2495|doi=10.1103/PhysRevD.32.2489|pmid=9956019|bibcode = 1985PhRvD..32.2489H }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite book | last = Greene | first = Brian | authorlink = Brian Greene | title = The Fabric of the Cosmos | url = https://archive.org/details/fabricofcosmossp00gree | url-access = registration | publisher = Alfred A. Knopf | year = 2004 | page = [https://archive.org/details/fabricofcosmossp00gree/page/171 171] | isbn = 978-0-375-41288-2}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=Lebowitz&amp;gt;{{cite journal|last=Lebowitz|first=Joel L.|title= Boltzmann's Entropy and Time's Arrow|journal=Physics Today|date=September 1993|volume=46|issue=9|pages=32–38|url=http://users.df.uba.ar/ariel/materias/FT3_2008_1C/papers_pdf/lebowitz_370.pdf|accessdate=2013-02-22|doi=10.1063/1.881363|bibcode = 1993PhT....46i..32L }}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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Due to Loschmidt's paradox, derivations of the Second Law have to make an assumption regarding the past, namely that the system is uncorrelated at some time in the past; this allows for simple probabilistic treatment. This assumption is usually thought as a boundary condition, and thus the second Law is ultimately a consequence of the initial conditions somewhere in the past, probably at the beginning of the universe (the Big Bang), though other scenarios have also been suggested.&lt;br /&gt;
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由于'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论Loschmidt's paradox&amp;lt;/font&amp;gt;'''，第二定律的导出必须对过去做出一个假设，即系统在过去的某个时刻是不相关的；这样的假设允许进行简单的概率处理。这个假设通常被认为是一个'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;边界条件boundary condition&amp;lt;/font&amp;gt;'''，因此热力学第二定律最终是过去某个地方的初始条件的结果，可能是在宇宙的开始('''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;大爆炸 the Big Bang&amp;lt;/font&amp;gt;''') ，尽管也有人提出了其他场景。&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the [[Statistical mechanics#Fundamental postulate|fundamental postulate]], also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy.{{citation needed|date=August 2012}} The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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Given these assumptions, in statistical mechanics, the Second Law is not a postulate, rather it is a consequence of the fundamental postulate, also known as the equal prior probability postulate, so long as one is clear that simple probability arguments are applied only to the future, while for the past there are auxiliary sources of information which tell us that it was low entropy. The first part of the second law, which states that the entropy of a thermally isolated system can only increase, is a trivial consequence of the equal prior probability postulate, if we restrict the notion of the entropy to systems in thermal equilibrium. The entropy of an isolated system in thermal equilibrium containing an amount of energy of &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; is:&lt;br /&gt;
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基于这些假设，在统计力学中，第二定律不是一个假设，而是'''统计力学基本假设Statistical mechanics#Fundamental postulate|fundamental postulate'''的一个结果，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;等先验概率假设 equal prior probability postulate&amp;lt;/font&amp;gt;'''。这个基本假设表明，只要一个人清楚地知道，简单的概率论证只适用于未来，而对于过去，有辅助的信息来源告诉我们，它是低熵的。如果我们把熵的概念限制在热平衡系统中，那么热力学第二定律的第一部分即热孤立系统的熵只能增加，是等先验概率假设的一个显然结果。处于热平衡状态的孤立系统且具有能量&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;的熵表示为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;S = k_{\mathrm B} \ln\left[\Omega\left(E\right)\right]\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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where &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; is the number of quantum states in a small interval between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E +\delta E&amp;lt;/math&amp;gt;. Here &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; is a macroscopically small energy interval that is kept fixed. Strictly speaking this means that the entropy depends on the choice of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;. However, in the thermodynamic limit (i.e. in the limit of infinitely large system size), the specific entropy (entropy per unit volume or per unit mass) does not depend on &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;.&lt;br /&gt;
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其中&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 是处于 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt;和&amp;lt;math&amp;gt;E +\delta E&amp;lt;/math这个小区间内的量子态数目。这里的 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 是一个宏观上很小的固定能量区间。严格地说，这意味着熵取决于对&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;的选择。然而在热力学极限下（例如无穷大系统的极限），狭义的熵(单位体积或单位质量的熵)不依赖于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;。&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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Suppose we have an isolated system whose macroscopic state is specified by a number of variables. These macroscopic variables can, e.g., refer to the total volume, the positions of pistons in the system, etc. Then &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; will depend on the values of these variables. If a variable is not fixed, (e.g. we do not clamp a piston in a certain position), then because all the accessible states are equally likely in equilibrium, the free variable in equilibrium will be such that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized as that is the most probable situation in equilibrium.&lt;br /&gt;
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假设我们有一个孤立系统，其宏观状态由许多变量指定。这些宏观变量可以是总体积、活塞在系统中的位置等。从而&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;将取决于这些变量的值。如果某个变量不是固定的（我们不会在某个位置夹住活塞) ，那么因为在平衡状态下到达所有可到达状态的可能性是相等的，平衡状态下的自由变量会使 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，因为这是平衡状态下最可能的情况。&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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If the variable was initially fixed to some value then upon release and when the new equilibrium has been reached, the fact the variable will adjust itself so that &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; is maximized, implies that the entropy will have increased or it will have stayed the same (if the value at which the variable was fixed happened to be the equilibrium value).&lt;br /&gt;
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如果该变量最初固定到某个值然后释放，当达到新的平衡时，变量将自我调整使得 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; 最大，这意味着熵将增加或保持不变（如果变量初始固定的值恰好是平衡值）。&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's [[H-theorem]], however, proves that the quantity {{math|''H''}} increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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Suppose we start from an equilibrium situation and we suddenly remove a constraint on a variable. Then right after we do this, there are a number &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; of accessible microstates, but equilibrium has not yet been reached, so the actual probabilities of the system being in some accessible state are not yet equal to the prior probability of &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;. We have already seen that in the final equilibrium state, the entropy will have increased or have stayed the same relative to the previous equilibrium state. Boltzmann's H-theorem, however, proves that the quantity  increases monotonically as a function of time during the intermediate out of equilibrium state.&lt;br /&gt;
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假设我们初始位于一个平衡状态，突然移除了对一个变量的约束。我们做完这件事的时候，可达到的微观状态的数为&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;，但是系统还没有达到平衡，所以系统处于某些可达到的状态的实际概率还不等于先验概率 &amp;lt;math&amp;gt;1/\Omega&amp;lt;/math&amp;gt;。我们已经知道，最终的平衡状态相对于之前的平衡状态，熵会增加或者保持不变。然而，玻耳兹曼的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;H定理H-theorem&amp;lt;/font&amp;gt;'''证明系统在不处于平衡态的期间，那个量作为时间的函数单调增加。&lt;br /&gt;
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===Derivation of the entropy change for reversible processes===&lt;br /&gt;
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可逆过程熵变的推导&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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The second part of the Second Law states that the entropy change of a system undergoing a reversible process is given by:&lt;br /&gt;
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热力学第二定律的第二部分指出，经历可逆过程的系统的熵变为:&lt;br /&gt;
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: &amp;lt;math&amp;gt;dS =\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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where the temperature is defined as:&lt;br /&gt;
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其中温度定义为:&lt;br /&gt;
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:&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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&amp;lt;math&amp;gt;\frac{1}{k_{\mathrm B} T}\equiv\beta\equiv\frac{d\ln\left[\Omega\left(E\right)\right]}{dE}&amp;lt;/math&amp;gt;&lt;br /&gt;
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See [[Microcanonical ensemble|here]] for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the [[adiabatic theorem]] of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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See here for the justification for this definition. Suppose that the system has some external parameter, x, that can be changed. In general, the energy eigenstates of the system will depend on x. According to the adiabatic theorem of quantum mechanics, in the limit of an infinitely slow change of the system's Hamiltonian, the system will stay in the same energy eigenstate and thus change its energy according to the change in energy of the energy eigenstate it is in.&lt;br /&gt;
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请参阅'''此处Microcanonical ensemble|here'''查看该定义的正当性。假设系统有一些可以改变的外部参数 x。一般来说，系统的能量本征态将依赖于 x。根据量子力学的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;绝热定理adiabatic theorem&amp;lt;/font&amp;gt;'''，在系统哈密顿量无限缓慢变化的极限下，系统将保持在相同的'''&amp;lt;font color = '#ff8000'&amp;gt;能量本征态 energy eigenstate&amp;lt;/font&amp;gt;'''，因此系统的能量会随着其所在能量本征态的能量变化而变化。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能量本征态 不懂翻译是否正确&lt;br /&gt;
  --[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)我觉得是这样的--[[用户:Jxzhou|Jxzhou]]（[[用户讨论:Jxzhou|讨论]]） 2020年8月17日 (一) 19:29 (CST)&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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The generalized force, X, corresponding to the external variable x is defined such that &amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; is the work performed by the system if x is increased by an amount dx. E.g., if x is the volume, then X is the pressure. The generalized force for a system known to be in energy eigenstate &amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt; is given by:&lt;br /&gt;
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对于外部变量 x 可以定义'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;广义力generalized force&amp;lt;/font&amp;gt;''' X ，因此如果 x 增加 dx，那么&amp;lt;math&amp;gt;X dx&amp;lt;/math&amp;gt; 就是系统所做的功。例如，如果 x 是体积，那么 X 就是压强。一个已知处于能量本征态&amp;lt;math&amp;gt;E_{r}&amp;lt;/math&amp;gt;的系统的广义力为：&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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Since the system can be in any energy eigenstate within an interval of &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;, we define the generalized force for the system as the expectation value of the above expression:&lt;br /&gt;
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由于系统可以在&amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; 区间内的任意能量本征态内，我们将系统的广义力定义为上述表达式的期望值:&lt;br /&gt;
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: &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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 &amp;lt;math&amp;gt;X = -\left\langle\frac{dE_{r}}{dx}\right\rangle\,&amp;lt;/math&amp;gt;&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
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To evaluate the average, we partition the &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; energy eigenstates by counting how many of them have a value for &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; within a range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Calling this number &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;, we have:&lt;br /&gt;
&lt;br /&gt;
为了计算平均值，我们按照能量本征态来划分&amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt;，通过计算有多少能量本征态的&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt;值在区间在&amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;之间。把这个数字叫做为 &amp;lt;math&amp;gt;\Omega_{Y}\left(E\right)&amp;lt;/math&amp;gt;，我们有:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\Omega\left(E\right)=\sum_{Y}\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The average defining the generalized force can now be written:&lt;br /&gt;
&lt;br /&gt;
The average defining the generalized force can now be written:&lt;br /&gt;
&lt;br /&gt;
根据平均值定义的广义力现在可以写成:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;X = -\frac{1}{\Omega\left(E\right)}\sum_{Y} Y\Omega_{Y}\left(E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
&lt;br /&gt;
We can relate this to the derivative of the entropy with respect to x at constant energy E as follows. Suppose we change x to x + dx. Then &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; will change because the energy eigenstates depend on x, causing energy eigenstates to move into or out of the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. Let's focus again on the energy eigenstates for which &amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; lies within the range between &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt;. Since these energy eigenstates increase in energy by Y dx, all such energy eigenstates that are in the interval ranging from E – Y dx to E move from below E to above E. There are&lt;br /&gt;
&lt;br /&gt;
我们可以把它和由恒定能量 E 下的 x 导出来的熵联系起来。假定我们把 x 改变至 x + dx。然后因为能量本征态依赖于 x，  &amp;lt;math&amp;gt;\Omega\left(E\right)&amp;lt;/math&amp;gt; 将会改变，这导致能量本征态进入或超出&amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; 之间的范围。让我们再次关注&amp;lt;math&amp;gt;\frac{dE_{r}}{dx}&amp;lt;/math&amp;gt; 处于 &amp;lt;math&amp;gt;Y&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;Y + \delta Y&amp;lt;/math&amp;gt; 之间的能量本征态。由于这些能量本征态的能量增加了 Y dx，所有这些在 E-Y dx 到 E 之间能量本征态都从 E 以下移动到 E 以上。 因此有&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right)=\frac{\Omega_{Y}\left(E\right)}{\delta E} Y dx\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
&lt;br /&gt;
such energy eigenstates. If &amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;, all these energy eigenstates will move into the range between &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; and contribute to an increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. The number of energy eigenstates that move from below &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt; is given by &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;. The difference&lt;br /&gt;
&lt;br /&gt;
这些的能量本征态。如果&amp;lt;math&amp;gt;Y dx\leq\delta E&amp;lt;/math&amp;gt;，则所有这些能量本征态将移动到 &amp;lt;math&amp;gt;E&amp;lt;/math&amp;gt; 到 &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;的范围内，使得&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增加。从&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上的能量本征态数目为 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;。它们的差&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;N_{Y}\left(E\right) - N_{Y}\left(E+\delta E\right)\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
is thus the net contribution to the increase in &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;. Note that if Y dx is larger than &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt; there will be the energy eigenstates that move from below E to above &amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;. They are counted in both &amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;, therefore the above expression is also valid in that case.&lt;br /&gt;
&lt;br /&gt;
因此是 &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;增长的净贡献。请注意如果 Y dx 大于 &amp;lt;math&amp;gt;\delta E&amp;lt;/math&amp;gt;，那么将会有能量本征态从 E 以下移动到&amp;lt;math&amp;gt;E+\delta E&amp;lt;/math&amp;gt;以上。它们在&amp;lt;math&amp;gt;N_{Y}\left(E\right)&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;N_{Y}\left(E+\delta E\right)&amp;lt;/math&amp;gt;中都有计数，因此上述表达式在这种情况下也是有效的。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
&lt;br /&gt;
Expressing the above expression as a derivative with respect to E and summing over Y yields the expression:&lt;br /&gt;
&lt;br /&gt;
将上面的表达式表示为对 E 的导数，并且对 Y 求和得到表达式:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\Omega}{\partial x}\right)_{E} = -\sum_{Y}Y\left(\frac{\partial\Omega_{Y}}{\partial E}\right)_{x}= \left(\frac{\partial\left(\Omega X\right)}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
The logarithmic derivative of &amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt; with respect to x is thus given by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Omega&amp;lt;/math&amp;gt;的对数关于x的导数由以下方式给出:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial\ln\left(\Omega\right)}{\partial x}\right)_{E} = \beta X +\left(\frac{\partial X}{\partial E}\right)_{x}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
The first term is intensive, i.e. it does not scale with system size. In contrast, the last term scales as the inverse system size and will thus vanishes in the thermodynamic limit. We have thus found that:&lt;br /&gt;
&lt;br /&gt;
第一项是集约型的，即它不能根据系统大小进行缩放。相反，最后一项跟随逆系统的大小而缩放，因此将在热力学极限中消失。因此我们发现:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial x}\right)_{E} = \frac{X}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
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Combining this with&lt;br /&gt;
&lt;br /&gt;
Combining this with&lt;br /&gt;
&lt;br /&gt;
将这个和下面式子结合&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;\left(\frac{\partial S}{\partial E}\right)_{x} = \frac{1}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Gives:&lt;br /&gt;
&lt;br /&gt;
Gives:&lt;br /&gt;
&lt;br /&gt;
给出：&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = \left(\frac{\partial S}{\partial E}\right)_{x}dE+\left(\frac{\partial S}{\partial x}\right)_{E}dx = \frac{dE}{T} + \frac{X}{T} dx=\frac{\delta Q}{T}\,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Derivation for systems described by the canonical ensemble===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
正则系综系统的推导&lt;br /&gt;
&lt;br /&gt;
If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the [[canonical ensemble]]:&lt;br /&gt;
&lt;br /&gt;
If a system is in thermal contact with a heat bath at some temperature T then, in equilibrium, the probability distribution over the energy eigenvalues are given by the canonical ensemble:&lt;br /&gt;
&lt;br /&gt;
如果一个系统与某个温度为T的热浴热接触，那么在平衡状态下，关于能量本征值的概率分布值由'''&amp;lt;font color = '#ff8000'&amp;gt;正则系综canonical ensemble&amp;lt;/font&amp;gt;'''给出:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;P_{j}=\frac{\exp\left(-\frac{E_{j}}{k_{\mathrm B} T}\right)}{Z}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the [[Partition function (statistical mechanics)|partition function]]. We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
Here Z is a factor that normalizes the sum of all the probabilities to 1, this function is known as the partition function. &amp;lt;font color = 'red'&amp;gt;We now consider an infinitesimal reversible change in the temperature and in the external parameters on which the energy levels depend. &amp;lt;/font&amp;gt;It follows from the general formula for the entropy:&lt;br /&gt;
&lt;br /&gt;
这里 Z 是一个使所有概率之和归一化到 1 的因子，这个函数被称为'''&amp;lt;font color = '#ff8000'&amp;gt;配分函数Partition function (statistical mechanics)|partition function&amp;lt;/font&amp;gt;'''。现在我们考虑对温度和能级所依赖的外部参数的无限小的可逆改变。它遵循熵的一般公式:&lt;br /&gt;
&lt;br /&gt;
  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]） 能级依赖温度吗？即“现在我们考虑……的可逆改变”当中，“on which the energy levels depend”修饰（1）in the external parameters，还是（2）in the temperature and in the external parameters&lt;br /&gt;
  --[[用户:小头盔|小头盔]]（[[用户讨论:小头盔|讨论]]）修饰in the external parameters&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;S = -k_{\mathrm B}\sum_{j}P_{j}\ln\left(P_{j}\right)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
that&lt;br /&gt;
&lt;br /&gt;
that&lt;br /&gt;
&lt;br /&gt;
以及&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = -k_{\mathrm B}\sum_{j}\ln\left(P_{j}\right)dP_{j}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
&lt;br /&gt;
Inserting the formula for &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; for the canonical ensemble in here gives:&lt;br /&gt;
&lt;br /&gt;
把正则系综的数学形式 &amp;lt;math&amp;gt;P_{j}&amp;lt;/math&amp;gt; 插入，可以得到:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
 &amp;lt;math&amp;gt;dS = \frac{1}{T}\sum_{j}E_{j}dP_{j}=\frac{1}{T}\sum_{j}d\left(E_{j}P_{j}\right) - \frac{1}{T}\sum_{j}P_{j}dE_{j}= \frac{dE + \delta W}{T}=\frac{\delta Q}{T}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Living organisms==&lt;br /&gt;
&lt;br /&gt;
==Living organisms==&lt;br /&gt;
&lt;br /&gt;
生命体&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as [[What is Life?|Erwin Schrödinger]], [[Léon Brillouin]]&amp;lt;ref&amp;gt;Léon Brillouin [https://books.google.com/books?hl=en&amp;amp;lr=&amp;amp;id=tPXVbiw_1P0C ''Science and Information Theory''] (Academic Press, 1962) (Dover, 2004)&amp;lt;/ref&amp;gt; and [[Life and Energy|Isaac Asimov]]. It is also the topic of current{{When|date=July 2019}} research.{{Citation needed|date=July 2019}}&lt;br /&gt;
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There are two principal ways of formulating thermodynamics, (a) through passages from one state of thermodynamic equilibrium to another, and (b) through cyclic processes, by which the system is left unchanged, while the total entropy of the surroundings is increased. These two ways help to understand the processes of life. This topic is mostly beyond the scope of this present article, but has been considered by several authors, such as Erwin Schrödinger, Léon Brillouin and Isaac Asimov. It is also the topic of current research.&lt;br /&gt;
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表述热力学主要有两种方式：(a)描述从一种热力学平衡状态到另一种状态的路径，(b)通过系统保持不变但周围环境的总熵增加的循环过程。这两种方法有助于理解生命过程。这个话题大大超出了本文的范围，但是已经有一些研究者考虑过这个问题，比如'''&amp;lt;font color = '#ff8000'&amp;gt;薛定谔Erwin Schrödinger&amp;lt;/font&amp;gt;'''、'''&amp;lt;font color = '#ff8000'&amp;gt;布里渊Léon Brillouin&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color = '#ff8000'&amp;gt;阿西莫夫Isaac Asimov&amp;lt;/font&amp;gt;'''。这也是当前研究的主题。&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of [[metabolism]], give out breakdown products and heat. Plants [[Photosynthesis|take in radiative energy]] from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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To a fair approximation, living organisms may be considered as examples of (b). Approximately, an animal's physical state cycles by the day, leaving the animal nearly unchanged. Animals take in food, water, and oxygen, and, as a result of metabolism, give out breakdown products and heat. Plants take in radiative energy from the sun, which may be regarded as heat, and carbon dioxide and water. They give out oxygen. In this way they grow. Eventually they die, and their remains rot away, turning mostly back into carbon dioxide and water. This can be regarded as a cyclic process. Overall, the sunlight is from a high temperature source, the sun, and its energy is passed to a lower temperature sink, i.e. radiated into space. This is an increase of entropy of the surroundings of the plant. Thus animals and plants obey the second law of thermodynamics, considered in terms of cyclic processes. Simple concepts of efficiency of heat engines are hardly applicable to this problem because they assume closed systems.&lt;br /&gt;
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从近似的角度来看，生命体可以被认为是(b)的一个例子。近似地，一只动物的身体状态每天循环，使得它几乎没有什么变化。动物吸收食物、水和氧气，经过'''&amp;lt;font color = '#ff8000'&amp;gt;新陈代谢metabolism&amp;lt;/font&amp;gt;'''，输出分解的产物和热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;。植物吸收来自太阳的辐射能量，这可以认为是热&amp;lt;s&amp;gt;量&amp;lt;/s&amp;gt;，以及二氧化碳和水，然后它们释放氧气。它们就是这样生长的。&amp;lt;font color = 'blue'&amp;gt;它们&amp;lt;/font&amp;gt;最终会死亡，尸体腐烂，大部分重新变成二氧化碳和水。这可以看作是一个循环过程。总的来说，阳光来自一个高温的源——太阳，它的能量被传递到一个较低的温度源，即向太空辐射。这个过程使得植物周围环境的熵增加。因此从循环过程的角度来看，动物和植物服从热力学第二定律。简单的热机效率概念很难适用于这个问题，因为它们假定系统是封闭的。&lt;br /&gt;
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From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to [[Non-equilibrium thermodynamics|unsettled current debate or research]]. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
From the thermodynamic viewpoint that considers (a), passages from one equilibrium state to another, only a roughly approximate picture appears, because living organisms are never in states of thermodynamic equilibrium. Living organisms must often be considered as open systems, because they take in nutrients and give out waste products. Thermodynamics of open systems is currently often considered in terms of passages from one state of thermodynamic equilibrium to another, or in terms of flows in the approximation of local thermodynamic equilibrium. The problem for living organisms may be further simplified by the approximation of assuming a steady state with unchanging flows. General principles of entropy production for such approximations are subject to unsettled current debate or research. Nevertheless, ideas derived from this viewpoint on the second law of thermodynamics are enlightening about living creatures.&lt;br /&gt;
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从(a)的热力学观点考虑，即考虑从一个平衡状态到另一个平衡状态的路径，只会产生一个粗略近似的图像，因为生命体从来不会处于热力学平衡状态。生物体经常必须被认为是开放的系统，因为它们吸收营养物质并排出废弃物。开放系统热力学目前通常从一个热力学平衡状态到另一个状态的路径的角度来考虑，或者是考虑局部热力学平衡近似下的流。生命体的问题可以通过假定一个流不变的稳态的近似来进一步简化。对于这样的近似，目前有很多关于熵产生的一般原理的未解决的争论或研究。尽管如此，从热力学第二定律的这个角度出发衍生出来的想法对生物是有启发意义的。&lt;br /&gt;
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==Gravitational systems==&lt;br /&gt;
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== Gravitational systems 重力系统 ==&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive [[heat capacity]], meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;&amp;gt;Grandy, W.T. (Jr) (2008), p. 151.&amp;lt;/ref&amp;gt; Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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In systems that do not require for their descriptions the general theory of relativity, bodies always have positive heat capacity, meaning that the temperature rises with energy. Therefore, when energy flows from a high-temperature object to a low-temperature object, the source temperature is decreased while the sink temperature is increased; hence temperature differences tend to diminish over time. This is not always the case for systems in which the gravitational force is important and the general theory of relativity is required. Such systems can spontaneously change towards uneven spread of mass and energy. This applies to the universe in large scale, and consequently it may be difficult or impossible to apply the second law to it. Beyond this, the thermodynamics of systems described by the general theory of relativity is beyond the scope of the present article.&lt;br /&gt;
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在不需要对其广义相对论解释的系统中，物体始终具有正热容，这意味着温度随能量而升高。因此，当能量从高温物体流向低温物体时，发射源温度降低而冷源温度升高；因此，温差会随着时间的流逝而减小。对于引力很重要并且需要广义相对论的系统而言，情况并非总是如此。这样的系统可以自发地向质量和能量不均匀的分布转变。这适用于大规模的宇宙，因此可能很难或不可能对它应用第二定律。除此之外，广义相对论描述的系统的热力学超出了本文的范围。&lt;br /&gt;
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==Non-equilibrium states==&lt;br /&gt;
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== Non-equilibrium states 非平衡状态 ==&lt;br /&gt;
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The theory of classical or [[thermodynamic equilibrium|equilibrium thermodynamics]] is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&amp;lt;ref name=&amp;quot;Grandy 151&amp;quot;/&amp;gt;&amp;lt;ref&amp;gt;Callen, H.B. (1960/1985), p. 15.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The theory of classical or equilibrium thermodynamics is idealized. A main postulate or assumption, often not even explicitly stated, is the existence of systems in their own internal states of thermodynamic equilibrium. In general, a region of space containing a physical system at a given time, that may be found in nature, is not in thermodynamic equilibrium, read in the most stringent terms. In looser terms, nothing in the entire universe is or has ever been truly in exact thermodynamic equilibrium.&lt;br /&gt;
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经典热力学或平衡热力学理论是理想化的。其主要假定或假设（通常甚至没有明确地陈述），是基于系统处在自身内部的热力学平衡状态。通常，在自然界可能发现的，在给定时间包含物理系统的空间区域，其热力学平衡状态并不是能用最严格的术语来表示。用较宽泛的术语来说，整个宇宙中没有任何东西是或曾经是真正处于精确的热力学平衡状态中。&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of [[thermodynamic equilibrium]]. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable [[thermal fluctuations|fluctuations]]. There is an exception, the case of [[critical point (thermodynamics)|critical states]], which exhibit to the naked eye the phenomenon of [[critical opalescence]]. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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For purposes of physical analysis, it is often enough convenient to make an assumption of thermodynamic equilibrium. Such an assumption may rely on trial and error for its justification. If the assumption is justified, it can often be very valuable and useful because it makes available the theory of thermodynamics. Elements of the equilibrium assumption are that a system is observed to be unchanging over an indefinitely long time, and that there are so many particles in a system, that its particulate nature can be entirely ignored. Under such an equilibrium assumption, in general, there are no macroscopically detectable fluctuations. There is an exception, the case of critical states, which exhibit to the naked eye the phenomenon of critical opalescence. For laboratory studies of critical states, exceptionally long observation times are needed.&lt;br /&gt;
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为了进行物理分析，通常做一个热力学平衡的假设就足够方便可行。 这样的假设可能依赖于反复试验和试错来证明其合理性。如果假设是合理的，那么它通常会非常有价值，因为它使热力学理论成为可能。平衡假设的要素是，观察到的系统会无限期地保持不变，并且因为系统中有很多粒子，以至于完全可以忽略其微粒的本质。通常在这种平衡假设下，不存在一个宏观上可检测到的波动。临界状态是一个例外，肉眼可以观察到临界'''&amp;lt;font color = '#ff8000'&amp;gt;乳光现象opalescence&amp;lt;/font&amp;gt;'''。对于临界状态的实验室研究，需要非常长的观察时间。&lt;br /&gt;
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In all cases, the assumption of [[thermodynamic equilibrium]], once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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In all cases, the assumption of thermodynamic equilibrium, once made, implies as a consequence that no putative candidate &amp;quot;fluctuation&amp;quot; alters the entropy of the system.&lt;br /&gt;
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在所有情况下，一旦做出了热力学平衡的假设，则作为一个结果意味着假定中的能改变系统熵的候选波动不存在。&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&amp;lt;ref&amp;gt;Lieb, E.H., Yngvason, J. (2003), p. 190.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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It can easily happen that a physical system exhibits internal macroscopic changes that are fast enough to invalidate the assumption of the constancy of the entropy. Or that a physical system has so few particles that the particulate nature is manifest in observable fluctuations. Then the assumption of thermodynamic equilibrium is to be abandoned. There is no unqualified general definition of entropy for non-equilibrium states.&lt;br /&gt;
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物理系统很容易发生内部宏观变化，其速度之快足以使熵的恒定性假设失效。或物理系统中的粒子太少，以至于微粒的本质在可观测的波动中显而易见。那么热力学平衡的假设就会被放弃。对于非平衡态，熵没有绝对的通俗定义。&lt;br /&gt;
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There are intermediate cases, in which the assumption of local [[thermodynamic equilibrium]] is a very good approximation,&amp;lt;ref&amp;gt;Gyarmati, I. (1967/1970), pp. 4-14.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;Glansdorff, P., Prigogine, I. (1971).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985).&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003).&amp;lt;/ref&amp;gt; but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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There are intermediate cases, in which the assumption of local thermodynamic equilibrium is a very good approximation, but strictly speaking it is still an approximation, not theoretically ideal.&lt;br /&gt;
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还有一些中间情况，其中局部热力学平衡的假设是一个非常好的近似，但严格地说它仍然是一个近似值，不是理论上的理想值。&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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For non-equilibrium situations in general, it may be useful to consider statistical mechanical definitions of other quantities that may be conveniently called 'entropy', but they should not be confused or conflated with thermodynamic entropy properly defined for the second law. These other quantities indeed belong to statistical mechanics, not to thermodynamics, the primary realm of the second law.&lt;br /&gt;
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对于一般的非平衡状态，考虑其他量的统计力学定义可能是有用的，这些量可以方便地称为“熵”，但是它们不应该与第二定律正确定义的熵混淆或合并。这些其他量确实属于统计力学，而不属于第二定律的主要领域——热力学。&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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The physics of macroscopically observable fluctuations is beyond the scope of this article.&lt;br /&gt;
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宏观上可观察到的波动的物理学超出了本文的范围。&lt;br /&gt;
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==Arrow of time==&lt;br /&gt;
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== Arrow of time 时间之箭 ==&lt;br /&gt;
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时间之箭&lt;br /&gt;
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{{Further information|Entropy (arrow of time)}}Thermodynamic Asymmetry in Time&lt;br /&gt;
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时间中的热力学不对称性&lt;br /&gt;
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{{See also|Arrow of time}}&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with notions that have been observed of the fundamental laws of physics, namely [[CPT symmetry]], since the second law applies statistically, it is hypothesized, on time-asymmetric ''boundary conditions''.&amp;lt;ref&amp;gt;{{cite web|first=Craig|last=Callender|url=https://plato.stanford.edu/archives/fall2011/entries/time-thermo/|title=Thermodynamic Asymmetry in Time|encyclopedia=Stanford Encyclopedia of Philosophy|date=29 July 2011}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law of thermodynamics is a physical law that is not symmetric to reversal of the time direction. This does not conflict with symmetries observed in the fundamental laws of physics (particularly CPT symmetry) since the second law applies statistically on time-asymmetric boundary conditions.[78] The second law has been related to the difference between moving forwards and backwards in time, or to the principle that cause precedes effect (the causal arrow of time, or causality).[79]&lt;br /&gt;
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热力学第二定律是在时间方向上不对称的物理定律。这与在物理学基本定律中观察到的对称性概念（特别是CPT对称性）&amp;lt;s&amp;gt;并&amp;lt;/s&amp;gt;没有冲突，因为第二定律在统计上适用于时间非对称边界条件。第二定律与时间向前和向后移动之间的差异有关，或者与原因先于结果的原理（时间的因果关系或因果关系）有关。&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect ([[Arrow of time#The causal arrow of time|the causal arrow of time]]).&amp;lt;ref&amp;gt;{{cite book | first = J.J.| last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1|display-authors=etal}} chapter 6&amp;lt;/ref&amp;gt;&lt;br /&gt;
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The second law has been proposed to supply a partial explanation of the difference between moving forward and backwards in time, such as why the cause precedes the effect (the causal arrow of time).&lt;br /&gt;
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第二定律被提出来侧面解释时间向前和向后移动的区别，例如为什么原因先于结果(因果关系的时间箭头)。&lt;br /&gt;
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==Irreversibility==&lt;br /&gt;
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== Irreversibility 不可逆性 ==&lt;br /&gt;
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Irreversibility in [[thermodynamic process]]es is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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Irreversibility in thermodynamic processes is a consequence of the asymmetric character of thermodynamic operations, and not of any internally irreversible microscopic properties of the bodies. Thermodynamic operations are macroscopic external interventions imposed on the participating bodies, not derived from their internal properties. There are reputed &amp;quot;paradoxes&amp;quot; that arise from failure to recognize this.&lt;br /&gt;
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热力学过程中的不可逆性是热力学作用不对称特性的结果，而不是物体内部任何不可逆的微观性质的结果。热力学作用是对参与体施加的宏观外部干预，并非来自其内部属性。由于没有认识到这一点，产生了被称为“悖论”的说法。&lt;br /&gt;
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=== Loschmidt's paradox 洛施密特悖论 ===&lt;br /&gt;
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{{main article|Loschmidt's paradox}}&lt;br /&gt;
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[[Loschmidt's paradox]], also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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Loschmidt's paradox, also known as the reversibility paradox, is the objection that it should not be possible to deduce an irreversible process from the time-symmetric dynamics that describe the microscopic evolution of a macroscopic system.&lt;br /&gt;
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'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;洛施密特悖论 Loschmidt's paradox&amp;lt;/font&amp;gt;'''，也被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;可逆性悖论reversibility paradox&amp;lt;/font&amp;gt;'''，它反驳说，从描述宏观系统微观演化的时间对称动力学中，不可能推导出不可逆过程。&lt;br /&gt;
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In the opinion of [[Erwin Schrödinger|Schrödinger]], &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropy{{snd}}or for that matter, all other irreversible statements{{snd}}so that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot;&amp;lt;ref&amp;gt;[[Erwin Schrödinger|Schrödinger, E.]] (1950), p.&amp;amp;nbsp;192.&amp;lt;/ref&amp;gt; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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In the opinion of Schrödinger, &amp;quot;It is now quite obvious in what manner you have to reformulate the law of entropyor for that matter, all other irreversible statementsso that they be capable of being derived from reversible models. You must not speak of one isolated system but at least of two,  which you may for the moment consider isolated from the rest of the world, but not always from each other.&amp;quot; The two systems are isolated from each other by the wall, until it is removed by the thermodynamic operation, as envisaged by the law. The thermodynamic operation is externally imposed, not subject to the reversible microscopic dynamical laws that govern the constituents of the systems. It is the cause of the irreversibility. The statement of the law in this present article complies with Schrödinger's advice. The cause–effect relation is logically prior to the second law, not derived from it.&lt;br /&gt;
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薛定谔的认为：“现在很明显，您必须以何种方式重新制定熵定律（亦或者所有其他不可逆陈述）以使它们能够从可逆模型中得出。你不能只谈论一个孤立的系统，而应该至少谈论两个。你可以暂时认为它们与世界其它地方是孤立的，但并不总是相互孤立的。”这两个系统被隔离内壁彼此分开，直到被热力学（由热力学定律设想出来的）作用而拆除。热力学作用是从外部施加的，不受支配系统组成部分的可逆微观动力学定律的制约。这是不可逆转的原因。本文中第二定律的陈述符合薛定谔的的建议。 因果关系在逻辑上先于第二定律，而不是由第二定律推导而来。&lt;br /&gt;
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=== Poincaré recurrence theorem 庞加莱始态复现定理 ===&lt;br /&gt;
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{{Main article|Poincaré recurrence theorem}}&lt;br /&gt;
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The [[Poincaré recurrence theorem]] considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics. Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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The Poincaré recurrence theorem considers a theoretical microscopic description of an isolated physical system. This may be considered as a model of a thermodynamic system after a thermodynamic operation has removed an internal wall. The system will, after a sufficiently long time, return to a microscopically defined state very close to the initial one. The Poincaré recurrence time is the length of time elapsed until the return. It is exceedingly long, likely longer than the life of the universe, and depends sensitively on the geometry of the wall that was removed by the thermodynamic operation. The recurrence theorem may be perceived as apparently contradicting the second law of thermodynamics. More obviously, however, it is simply a microscopic model of thermodynamic equilibrium in an isolated system formed by removal of a wall between two systems. For a typical thermodynamical system, the recurrence time is so large (many many times longer than the lifetime of the universe) that, for all practical purposes, one cannot observe the recurrence. One might wish, nevertheless, to imagine that one could wait for the Poincaré recurrence, and then re-insert the wall that was removed by the thermodynamic operation. It is then evident that the appearance of irreversibility is due to the utter unpredictability of the Poincaré recurrence given only that the initial state was one of thermodynamic equilibrium, as is the case in macroscopic thermodynamics.Even if one could wait for it, one has no practical possibility of picking the right instant at which to re-insert the wall. The Poincaré recurrence theorem provides a solution to Loschmidt's paradox. If an isolated thermodynamic system could be monitored over increasingly many multiples of the average Poincaré recurrence time, the thermodynamic behavior of the system would become invariant under time reversal.&lt;br /&gt;
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庞加莱始态复现定理考虑了孤立物理系统的理论微观描述。&lt;br /&gt;
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  --[[用户:嘉树|嘉树]]（[[用户讨论:嘉树|讨论]]）又叫递归定理吗？存疑 &lt;br /&gt;
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经过热力学作用去除隔离内壁之后，便可以认为其是热力学系统的模型。在足够长的时间后，系统将返回到非常接近初始状态的微观定义状态。庞加莱复现时间是指回归前经过的时间长度。它极其漫长，可能比宇宙的寿命还要长，并且对那个被热力学作用拆除的内壁的几何形状敏感。复现定理可能被认为是明显与热力学第二定律相矛盾的。但是，更显而易见的是，它只是通过移除两个系统之间的内壁而形成的隔离系统中热力学平衡的微观模型。对所有典型的热力学系统的实际目的，人们无法观察到如此之长的复现时间很长（比宇宙的寿命长很多倍）。尽管如此，还是有人会想像一个机会可以等待庞加莱复现的出现，然后重新插入被热力学作用去除的内壁。然后很明显，不可逆性的出现是由于庞加莱复现完全不可预测的特性，因为仅仅给出了初始状态是热力学平衡之一，就像宏观热力学的情况一样。即使一个人可以等那么长时间，他也没有实际操作的可能性来选择合适的时间重新插入内壁。庞加莱始态复现定理为洛施密特悖论提供了一个解决方案。如果一个孤立的热力学系统能以多倍于平均庞加莱复现时间的长度下被监控，则该系统的热力学行为在时间反转下将变得恒定。&lt;br /&gt;
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[[File:James-clerk-maxwell3.jpg|thumb|upright|James Clerk Maxwell]]&lt;br /&gt;
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James Clerk Maxwell&lt;br /&gt;
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詹姆斯·克拉克·麦克斯韦&lt;br /&gt;
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=== Maxwell's demon 麦克斯韦妖 ===&lt;br /&gt;
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{{unreferenced|section|date=August 2018}}&lt;br /&gt;
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{{main article|Maxwell's demon}}&lt;br /&gt;
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[[James Clerk Maxwell]] imagined one container divided into two parts, ''A'' and ''B''. Both parts are filled with the same [[gas]] at equal temperatures and placed next to each other, separated by a wall. Observing the [[molecule]]s on both sides, an imaginary [[demon]] guards a microscopic trapdoor in the wall. When a faster-than-average molecule from ''A'' flies towards the trapdoor, the demon opens it, and the molecule will fly from ''A'' to ''B''. The average [[speed]] of the molecules in ''B'' will have increased while in ''A'' they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in ''A'' and increases in ''B'', contrary to the second law of thermodynamics.&lt;br /&gt;
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James Clerk Maxwell imagined one container divided into two parts, A and B. Both parts are filled with the same gas at equal temperatures and placed next to each other, separated by a wall. Observing the molecules on both sides, an imaginary demon guards a microscopic trapdoor in the wall. When a faster-than-average molecule from A flies towards the trapdoor, the demon opens it, and the molecule will fly from A to B. The average speed of the molecules in B will have increased while in A they will have slowed down on average. Since average molecular speed corresponds to temperature, the temperature decreases in A and increases in B, contrary to the second law of thermodynamics.&lt;br /&gt;
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'''麦克斯韦 James Clerk Maxwell'''设想一个容器分为A和B两部分。两部分均在相同温度下充满相同的气体，并彼此相邻由内壁隔开。一个虚构的妖精看守着一个内壁上的微型陷门，并观察者内壁两边的分子。当来自A的速度快于平均水平的分子飞向门时，妖精将门打开，该分子将从A飞向B。B中分子的平均速度将增加，而A中分子的平均速度将降低。由于平均分子速度与温度相对应，因此与热力学第二定律相反，温度在A中降低，在B中升高。&lt;br /&gt;
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One response to this question was suggested in 1929 by [[Leó Szilárd]] and later by [[Léon Brillouin]]. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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One response to this question was suggested in 1929 by Leó Szilárd and later by Léon Brillouin. Szilárd pointed out that a real-life Maxwell's demon would need to have some means of measuring molecular speed, and that the act of acquiring information would require an expenditure of energy.&lt;br /&gt;
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1929年，Leó Szilárd和后来的 Léon Brillouin 对这个问题提出了一个答案。Szilárd指出，现实生活中的麦克斯韦妖需要一些测量分子速度的方法，而获取信息的过程需要消耗能量。&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between ''A'' and ''B''. It is therefore performing [[thermodynamic operation]]s on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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Maxwell's 'demon' repeatedly alters the permeability of the wall between A and B. It is therefore performing thermodynamic operations on a microscopic scale, not just observing ordinary spontaneous or natural macroscopic thermodynamic processes.&lt;br /&gt;
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麦克斯韦的“妖”重复地改变 A 和 B 之间壁的热透性。因此，它是在微观尺度上执行热力学操作，而不仅仅是观察普通的自发或自然的宏观热力学过程。&lt;br /&gt;
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==Quotations==&lt;br /&gt;
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语录&lt;br /&gt;
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{{quote|The law that entropy always increases holds, I think, the supreme position among the [[Laws of science|laws of Nature]]. If someone points out to you that your pet theory of the [[universe]] is in disagreement with [[Maxwell's equations]] – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.|Sir [[Arthur Stanley Eddington]], ''The Nature of the Physical World'' (1927)}}&lt;br /&gt;
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The law that entropy always increases holds, I think, the supreme position among the laws of Nature. If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equations – then so much the worse for Maxwell's equations. If it is found to be contradicted by observation – well, these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of thermodynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation.&lt;br /&gt;
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— Sir Arthur Stanley Eddington, The Nature of the Physical World (1927)&lt;br /&gt;
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我认为，熵总是增加的定律在自然定律中占有至高无上的地位。如果有人指出您的宇宙宠物理论杜撰的宇宙理论与麦克斯韦方程不符，那么麦克斯韦方程就遇到麻烦了。如果发现您的理论与观察不符，那么，可能是这些实验学家搞砸了。但是，如果发现您的理论违反了热力学第二定律，那么就没有希望了。除了在深深的耻辱中崩溃，别无他法。&lt;br /&gt;
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—亚瑟·斯坦利·爱丁顿爵士，《自然世界》（1927年）&lt;br /&gt;
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{{quote|There have been nearly as many formulations of the second law as there have been discussions of it.|Philosopher / Physicist [[Percy Williams Bridgman|P.W. Bridgman]], (1941)}}&lt;br /&gt;
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There have been nearly as many formulations of the second law as there have been discussions of it.&lt;br /&gt;
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— Philosopher / Physicist P.W. Bridgman, (1941)&lt;br /&gt;
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关于第二定律的公式几乎与关于第二定律的讨论一样多。&lt;br /&gt;
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—哲学家/物理学家 布里奇曼（1941）&lt;br /&gt;
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{{quote|Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.|[[Clifford Truesdell|Truesdell, C.]], Muncaster, R. G. (1980). ''Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics'', Academic Press, New York, {{ISBN|0-12-701350-4}}, p. 17.}}&lt;br /&gt;
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Clausius is the author of the sibyllic utterance, &amp;quot;The energy of the universe is constant; the entropy of the universe tends to a maximum.&amp;quot; The objectives of continuum thermomechanics stop far short of explaining the &amp;quot;universe&amp;quot;, but within that theory we may easily derive an explicit statement in some ways reminiscent of Clausius, but referring only to a modest object: an isolated body of finite size.&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.&lt;br /&gt;
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克劳修斯（Sir Clausius）是西伯利亚文“宇宙的能量是恒定的；宇宙的熵趋于最大。”的作者。连续热力学的目标远远不能解释“宇宙”，但是在该理论内，我们可以很容易地以某种类似于克劳修斯的方式得出明确的陈述，只是它仅仅指代一个简单的物体：一个有限大小的孤立物体。&lt;br /&gt;
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— Truesdell, C., Muncaster, R. G. (1980). Fundamentals of Maxwell's Kinetic Theory of a Simple Monatomic Gas, Treated as a Branch of Rational Mechanics, Academic Press, New York, ISBN 0-12-701350-4, p. 17.  特雷斯德尔，C.，蒙卡斯特，R.G.（1980）。麦克斯韦的单原子气体动力学理论的基本原理，被作为“理性力学”的一个分支，纽约学术出版社，ISBN 0-12-701350-4，第1页. 17。&lt;br /&gt;
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==See also==&lt;br /&gt;
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*[[Clausius–Duhem inequality]]&lt;br /&gt;
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*[[Fluctuation theorem]]&lt;br /&gt;
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*[[Heat death of the universe]]&lt;br /&gt;
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*[[History of thermodynamics]]&lt;br /&gt;
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*[[Jarzynski equality]]&lt;br /&gt;
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*[[Laws of thermodynamics]]&lt;br /&gt;
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*[[Maximum entropy thermodynamics]]&lt;br /&gt;
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*[[Quantum thermodynamics]]&lt;br /&gt;
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*[[Reflections on the Motive Power of Fire]]&lt;br /&gt;
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*[[Relativistic heat conduction]]&lt;br /&gt;
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*[[Thermal diode]]&lt;br /&gt;
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*[[Thermodynamic equilibrium]]&lt;br /&gt;
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==References==&lt;br /&gt;
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*Adkins, C.J. (1968/1983). ''Equilibrium Thermodynamics'', (1st edition 1968), third edition 1983, Cambridge University Press, Cambridge UK, {{ISBN|0-521-25445-0}}.&lt;br /&gt;
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*[[Peter Atkins|Atkins, P.W.]], de Paula, J. (2006). ''Atkins' Physical Chemistry'', eighth edition, W.H. Freeman, New York, {{ISBN|978-0-7167-8759-4}}.&lt;br /&gt;
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*Attard, P. (2012). ''Non-equilibrium Thermodynamics and Statistical Mechanics: Foundations and Applications'', Oxford University Press, Oxford UK, {{ISBN|978-0-19-966276-0}}.&lt;br /&gt;
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*Baierlein, R. (1999). ''Thermal Physics'', Cambridge University Press, Cambridge UK, {{ISBN|0-521-59082-5}}.&lt;br /&gt;
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*Bailyn, M. (1994). ''A Survey of Thermodynamics'', American Institute of Physics, New York, {{ISBN|0-88318-797-3}}.&lt;br /&gt;
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*{{Cite book|title=Concepts in thermal physics|last=Blundell|first=Stephen J.|last2=Blundell|authorlink1=Stephen Blundell|first2=Katherine M.|authorlink2=Katherine Blundell|publisher=[[Oxford University Press]]|year=2010|isbn=9780199562107|edition=2nd|location=Oxford|pages=|oclc=607907330|doi=10.1093/acprof:oso/9780199562091.001.0001 |url=http://cds.cern.ch/record/1235139}}&lt;br /&gt;
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*[[Ludwig Boltzmann|Boltzmann, L.]] (1896/1964). ''Lectures on Gas Theory'', translated by S.G. Brush, University of California Press, Berkeley.&lt;br /&gt;
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*Borgnakke, C., Sonntag., R.E. (2009). ''Fundamentals of Thermodynamics'', seventh edition, Wiley, {{ISBN|978-0-470-04192-5}}.&lt;br /&gt;
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*Buchdahl, H.A. (1966). ''The Concepts of Classical Thermodynamics'', Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Percy Williams Bridgman|Bridgman, P.W.]] (1943). ''The Nature of Thermodynamics'', Harvard University Press, Cambridge MA.&lt;br /&gt;
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*[[Herbert Callen|Callen, H.B.]] (1960/1985). ''Thermodynamics and an Introduction to Thermostatistics'', (1st edition 1960) 2nd edition 1985, Wiley, New York, {{ISBN|0-471-86256-8}}.&lt;br /&gt;
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*{{cite journal|author=C. Carathéodory|author1-link=Constantin Carathéodory&lt;br /&gt;
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|pages=355–386|url=http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;PPN=PPN235181684_0067&amp;amp;DMDID=DMDLOG_0033&amp;amp;L=1&lt;br /&gt;
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2010年3月15日 | 第355-386页 |  http://gdz.sub.uni-goettingen.de/index.php?id=11&amp;amp;ppn=ppn235181684_0067&amp;amp;dmdid=dmdlog_0033&amp;amp;l=1&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). ''The Second Law of Thermodynamics'', Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können. (p.363)|doi=10.1007/bf01450409}}. A translation may be found [http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf here]. Also a mostly reliable [https://books.google.com/books?id=xwBRAAAAMAAJ&amp;amp;q=Investigation+into+the+foundations translation is to be found] at Kestin, J. (1976). The Second Law of Thermodynamics, Dowden, Hutchinson &amp;amp; Ross, Stroudsburg PA.&lt;br /&gt;
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|quote=Axiom II: In jeder beliebigen Umgebung eines willkürlich vorgeschriebenen Anfangszustandes gibt es Zustände, die durch adiabatische Zustandsänderungen nicht beliebig approximiert werden können.(p. 363) | doi 10.1007 / bf01450409}.译文可以在这里找到[ http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf ]。同时，在 Kestin，j。(1976).热力学第二定律，Dowden，Hutchinson &amp;amp; Ross，Stroudsburg PA. 。&lt;br /&gt;
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*[[Nicolas Léonard Sadi Carnot|Carnot, S.]] (1824/1986). [http://www.worldcat.org/title/reflections-on-the-motive-power-of-fire-a-critical-edition-with-the-surviving-scientific-manuscripts-translated-and-edited-by-fox-robert/oclc/812944517&amp;amp;referer=brief_results ''Reflections on the motive power of fire''], Manchester University Press, Manchester UK, {{ISBN|0-7190-1741-6}}. [https://archive.org/stream/reflectionsonmot00carnrich#page/n7/mode/2up Also here.]&lt;br /&gt;
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*[[Sydney Chapman (mathematician)|Chapman, S.]], [[Thomas George Cowling|Cowling, T.G.]] (1939/1970). ''The Mathematical Theory of Non-uniform gases. An Account of the Kinetic Theory of Viscosity, Thermal Conduction and Diffusion in Gases'', third edition 1970, Cambridge University Press, London.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Ueber Die Bewegende Kraft Der Wärme Und Die Gesetze, Welche Sich Daraus Für Die Wärmelehre Selbst Ableiten Lassen|journal=Annalen der Physik|year=1850|volume=79|issue=4|pages=368–397, 500–524|url=http://gallica.bnf.fr/ark:/12148/bpt6k15164w/f518.image|accessdate=26 June 2012|doi=10.1002/andp.18501550403|bibcode = 1850AnP...155..500C |hdl=2027/uc1.$b242250|hdl-access=free}} Translated into English: {{cite journal|last=Clausius|first=R.|title=On the Moving Force of Heat, and the Laws regarding the Nature of Heat itself which are deducible therefrom|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1851| volume=2|series=4th|issue=VIII|pages=1–21; 102–119 |url=https://archive.org/stream/londonedinburghd02lond#page/1/mode/1up|accessdate=26 June 2012&lt;br /&gt;
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|doi=10.1080/14786445108646819}}&lt;br /&gt;
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10.1080 / 14786445108646819}&lt;br /&gt;
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* {{cite journal|ref=harv|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=Über eine veränderte Form des zweiten Hauptsatzes der mechanischen Wärmetheorie|year=1854|journal=Annalen der Physik|volume=xciii|issue=12|pages=481–506|url=http://zfbb.thulb.uni-jena.de/servlets/MCRFileNodeServlet/jportal_derivate_00140956/18541691202_ftp.pdf|accessdate=24 March 2014|doi=10.1002/andp.18541691202&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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|bibcode = 1854AnP...169..481C }} Translated into English: {{cite journal|last=Clausius|first=R.|title=On a Modified Form of the Second Fundamental Theorem in the Mechanical Theory of Heat|journal=London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science|date=July 1856| volume=2|series=4th|page=86 |url=https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=24 March 2014&lt;br /&gt;
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| bibcode 1854AnP... 169. 1856年7月 | 第2卷 | 第4页 | 第86页 |  https://www.biodiversitylibrary.org/item/20044#page/100/mode/1up|accessdate=242014年3月&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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}} Reprinted in: {{cite book|last=Clausius|first=R.|author1-link=Rudolf Clausius|title=The Mechanical Theory of Heat – with its Applications to the Steam Engine and to Physical Properties of Bodies|year=1867|publisher=John van Voorst|location=London|url=https://archive.org/details/mechanicaltheor04claugoog|quote=editions:PwR_Sbkwa8IC.|accessdate=19 June 2012&lt;br /&gt;
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热力学理论及其在蒸汽机和物体物理性质中的应用 | 1867年 | 出版商 John van Voorst | 位置: 伦敦 |  https://archive.org/details/mechanicaltheor04claugoog|quote=editions:pwr_sbkwa8ic。 2012年6月19日&lt;br /&gt;
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*Denbigh, K. (1954/1981). ''The Principles of Chemical Equilibrium. With Applications in Chemistry and Chemical Engineering'', fourth edition, Cambridge University Press, Cambridge UK, {{ISBN|0-521-23682-7}}.&lt;br /&gt;
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*Eu, B.C. (2002). ''Generalized Thermodynamics. The Thermodynamics of Irreversible Processes and Generalized Hydrodynamics'', Kluwer Academic Publishers, Dordrecht, {{ISBN|1-4020-0788-4}}.&lt;br /&gt;
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*[[Josiah Willard Gibbs|Gibbs, J.W.]] (1876/1878). On the equilibrium of heterogeneous substances, ''Trans. Conn. Acad.'', '''3''': 108-248, 343-524, reprinted in ''The Collected Works of J. Willard Gibbs, Ph.D, LL. D.'', edited by W.R. Longley, R.G. Van Name, Longmans, Green &amp;amp; Co., New York, 1928, volume 1, pp.&amp;amp;nbsp;55–353.&lt;br /&gt;
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*Griem, H.R. (2005). ''Principles of Plasma Spectroscopy (Cambridge Monographs on Plasma Physics)'', Cambridge University Press, New York  {{ISBN|0-521-61941-6}}.&lt;br /&gt;
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*Glansdorff, P., Prigogine, I. (1971). ''Thermodynamic Theory of Structure, Stability, and Fluctuations'', Wiley-Interscience, London, 1971, {{ISBN|0-471-30280-5}}.&lt;br /&gt;
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*Grandy, W.T., Jr (2008). [http://global.oup.com/academic/product/entropy-and-the-time-evolution-of-macroscopic-systems-9780199546176?cc=au&amp;amp;lang=en&amp;amp; ''Entropy and the Time Evolution of Macroscopic Systems'']. Oxford University Press. {{ISBN|978-0-19-954617-6}}.&lt;br /&gt;
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*Greven, A., Keller, G., Warnecke (editors) (2003). ''Entropy'', Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1949). 'Statistical basis of thermodynamics', ''Research'', '''2''': 450–454.&lt;br /&gt;
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*[[Edward A. Guggenheim|Guggenheim, E.A.]] (1967). ''Thermodynamics. An Advanced Treatment for Chemists and Physicists'', fifth revised edition, North Holland, Amsterdam.&lt;br /&gt;
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*Gyarmati, I. (1967/1970) ''Non-equilibrium Thermodynamics. Field Theory and Variational Principles'', translated by E. Gyarmati and W.F. Heinz, Springer, New York.&lt;br /&gt;
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*[[Charles Kittel|Kittel, C.]], [[Herbert Kroemer|Kroemer, H.]] (1969/1980). ''Thermal Physics'', second edition, Freeman, San Francisco CA, {{ISBN|0-7167-1088-9}}.&lt;br /&gt;
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*Kondepudi, D., [[Ilya Prigogine|Prigogine, I.]] (1998). ''Modern Thermodynamics: From Heat Engines to Dissipative Structures'', John Wiley &amp;amp; Sons, Chichester, {{ISBN|0-471-97393-9}}.&lt;br /&gt;
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*Lebon, G., Jou, D., Casas-Vázquez, J. (2008). ''Understanding Non-equilibrium Thermodynamics: Foundations, Applications, Frontiers'', Springer-Verlag, Berlin, {{ISBN|978-3-540-74252-4}}.&lt;br /&gt;
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*{{cite journal|ref=harv|title=The Physics and Mathematics of the Second Law of Thermodynamics|last1=Lieb |first1=E. H. |last2=Yngvason |first2=J.|journal=Physics Reports|volume=310|issue=1|pages=1–96 |year=1999|doi=10.1016/S0370-1573(98)00082-9|arxiv = cond-mat/9708200 |bibcode = 1999PhR...310....1L}}&lt;br /&gt;
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*Lieb, E.H., Yngvason, J. (2003). The Entropy of Classical Thermodynamics, pp.&amp;amp;nbsp;147–195, Chapter 8 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*{{cite book|ref=harv|first=F.|last=Mandl|title=Statistical physics|edition=second|year=1988|publisher=[[Wiley &amp;amp; Sons]]|isbn=978-0-471-91533-1}}&lt;br /&gt;
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*{{cite journal | last1 = Maxwell | first1 = J.C. | authorlink = James Clerk Maxwell | year = 1867 | title = On the dynamical theory of gases | url = | journal = Phil. Trans. R. Soc. Lond. | volume = 157 | issue = | pages = 49–88 | doi = 10.1098/rstl.1867.0004 }}&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (1985). ''Thermodynamics'', Pitman, London, {{ISBN|0-273-08577-8}}.&lt;br /&gt;
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*[[Gottfried Wilhelm Leibniz Prize|Müller, I.]] (2003). Entropy in Nonequilibrium, pp.&amp;amp;nbsp;79–109, Chapter 5 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003).&lt;br /&gt;
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*Münster, A. (1970), ''Classical Thermodynamics'', translated by E.S. Halberstadt, Wiley–Interscience, London, {{ISBN|0-471-62430-6}}.&lt;br /&gt;
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*[[Brian Pippard|Pippard, A.B.]] (1957/1966). ''Elements of Classical Thermodynamics for Advanced Students of Physics'', original publication 1957, reprint 1966, Cambridge University Press, Cambridge UK.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1897/1903). [https://archive.org/stream/treatiseonthermo00planrich#page/100/mode/2up ''Treatise on Thermodynamics'', translated by A. Ogg, Longmans Green, London, p. 100.]&lt;br /&gt;
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*[[Max Planck|Planck. M.]] (1914). [https://archive.org/details/theoryofheatradi00planrich ''The Theory of Heat Radiation''], a translation by Masius, M. of the second German edition, P. Blakiston's Son &amp;amp; Co., Philadelphia.&lt;br /&gt;
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*[[Max Planck|Planck, M.]] (1926). Über die Begründung des zweiten Hauptsatzes der Thermodynamik, ''Sitzungsberichte der Preussischen Akademie der Wissenschaften: Physikalisch-mathematische Klasse'': 453–463.&lt;br /&gt;
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* Pokrovskii V.N. (2005) Extended thermodynamics in a discrete-system approach,  Eur. J. Phys.  vol. 26,  769-781.&lt;br /&gt;
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* {{Cite journal | doi=10.1155/2013/906136|title = A Derivation of the Main Relations of Nonequilibrium Thermodynamics| journal=ISRN Thermodynamics| volume=2013| pages=1–9|year = 2013|last1 = Pokrovskii|first1 = Vladimir N.|doi-access=free}}&lt;br /&gt;
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*Quinn, T.J. (1983). ''Temperature'', Academic Press, London, {{ISBN|0-12-569680-9}}.&lt;br /&gt;
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*{{cite book|ref=harv|first=Y.V.C.|last=Rao|title=An Introduction to thermodynamics|url=https://books.google.com/books?id=iYWiCXziWsEC&amp;amp;pg=PA213|date=2004|publisher=Universities Press|isbn=978-81-7371-461-0|page=213}}&lt;br /&gt;
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*Roberts, J.K., Miller, A.R. (1928/1960). ''Heat and Thermodynamics'', (first edition 1928), fifth edition, Blackie &amp;amp; Son Limited, Glasgow.&lt;br /&gt;
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*[[Erwin Schrödinger|Schrödinger, E.]] (1950). Irreversibility, ''Proc. R. Ir. Acad.'', '''A53''': 189–195.&lt;br /&gt;
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*[[Dirk ter Haar|ter Haar, D.]], [[Harald Wergeland|Wergeland, H.]] (1966). ''Elements of Thermodynamics'', Addison-Wesley Publishing, Reading MA.&lt;br /&gt;
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*{{cite journal|ref=harv|last=Thomson|first=W.|author-link=William Thomson, 1st Baron Kelvin|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Transactions of the Royal Society of Edinburgh|year=1851|volume=XX|issue=part II|pages=261–268; 289–298|url=https://www.biodiversitylibrary.org/item/126047#page/295/mode/1up}} Also published in {{cite journal|last=Thomson|first=W.|title=On the Dynamical Theory of Heat, with numerical results deduced from Mr Joule's equivalent of a Thermal Unit, and M. Regnault's Observations on Steam|journal=Philos. Mag. |date=December 1852 |volume=IV |series=4 |issue=22 |page=13|url=https://archive.org/stream/londonedinburghp04maga#page/12/mode/2up |accessdate=25 June 2012}}&lt;br /&gt;
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*[[William Thomson, 1st Baron Kelvin|Thomson, W.]] (1852). ''On the universal tendency in nature to the dissipation of mechanical energy'' Philosophical Magazine, Ser. 4, p.&amp;amp;nbsp;304.&lt;br /&gt;
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*[[László Tisza|Tisza, L.]] (1966). ''Generalized Thermodynamics'', M.I.T Press, Cambridge MA.&lt;br /&gt;
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*[[Clifford Truesdell|Truesdell, C.]] (1980). ''The Tragicomical History of Thermodynamics 1822–1854'', Springer, New York, {{ISBN|0-387-90403-4}}.&lt;br /&gt;
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*Uffink, J. (2001). Bluff your way in the second law of thermodynamics, ''Stud. Hist. Phil. Mod. Phys.'', '''32'''(3): 305–394.&lt;br /&gt;
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*Uffink, J. (2003). Irreversibility and the Second Law of Thermodynamics, Chapter 7 of ''Entropy'', Greven, A., Keller, G., Warnecke (editors) (2003), Princeton University Press, Princeton NJ, {{ISBN|0-691-11338-6}}.&lt;br /&gt;
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*[[George Uhlenbeck|Uhlenbeck, G.E.]], Ford, G.W. (1963). ''Lectures in Statistical Mechanics'', American Mathematical Society, Providence RI.&lt;br /&gt;
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*[[Mark Zemansky|Zemansky, M.W.]] (1968). ''Heat and Thermodynamics. An Intermediate Textbook'', fifth edition, McGraw-Hill Book Company, New York.&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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==Further reading==&lt;br /&gt;
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进一步阅读&lt;br /&gt;
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*Goldstein, Martin, and Inge F., 1993. ''The Refrigerator and the Universe''. Harvard Univ. Press. Chpts. 4–9 contain an introduction to the Second Law, one a bit less technical than this entry. {{ISBN|978-0-674-75324-2}}&lt;br /&gt;
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*Leff, Harvey S., and Rex, Andrew F. (eds.) 2003. ''Maxwell's Demon 2 : Entropy, classical and quantum information, computing''. Bristol UK; Philadelphia PA: [[Institute of Physics]]. {{ISBN|978-0-585-49237-7}}&lt;br /&gt;
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*{{Cite book | first = J.J. | last = Halliwell | title = Physical Origins of Time Asymmetry| publisher = Cambridge | year = 1994| isbn = 978-0-521-56837-1}}(technical).&lt;br /&gt;
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*{{cite book |title=Reflections on the Motive Power of Heat and on Machines Fitted to Develop That Power |last=Carnot |first=Sadi |editor=[[Robert Henry Thurston|Thurston, Robert Henry]] |year=1890 |publisher=J. Wiley &amp;amp; Sons |location=New York |isbn= |pages= }} ([https://books.google.com/books?id=tgdJAAAAIAAJ full text of 1897 ed.]) ([http://www.history.rochester.edu/steam/carnot/1943/ html])&lt;br /&gt;
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*Stephen Jay Kline (1999). ''The Low-Down on Entropy and Interpretive Thermodynamics'', La Cañada, CA: DCW Industries. {{ISBN|1-928729-01-0}}.&lt;br /&gt;
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*{{cite book | last1 = Kostic | first1 = M | year = 2011 | title = Revisiting The Second Law of Energy Degradation and Entropy Generation: From Sadi Carnot's Ingenious Reasoning to Holistic Generalization | journal = AIP Conf. Proc. | volume = 1411 | issue = 1| pages = 327–350 | doi = 10.1063/1.3665247 | isbn = 978-0-7354-0985-9 | bibcode = 2011AIPC.1411..327K | series = AIP Conference Proceedings | citeseerx = 10.1.1.405.1945 }} also at [https://web.archive.org/web/20130420222450/http://www.kostic.niu.edu/2ndLaw/Revisiting%20The%20Second%20Law%20of%20Energy%20Degradation%20and%20Entropy%20Generation%20-%20From%20Carnot%20to%20Holistic%20Generalization-4.pdf].&lt;br /&gt;
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==External links==&lt;br /&gt;
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==External links==&lt;br /&gt;
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外部链接&lt;br /&gt;
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*[[Stanford Encyclopedia of Philosophy]]: &amp;quot;[http://plato.stanford.edu/entries/statphys-statmech/ Philosophy of Statistical Mechanics]&amp;quot; – by Lawrence Sklar.&lt;br /&gt;
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*[http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/node30.html ''Second law of thermodynamics''] in the MIT Course [http://web.mit.edu/16.unified/www/FALL/thermodynamics/notes/notes.html ''Unified Thermodynamics and Propulsion''] from Prof. Z. S. Spakovszky&lt;br /&gt;
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*[[E.T. Jaynes]], 1988, &amp;quot;[http://bayes.wustl.edu/etj/articles/ccarnot.pdf The evolution of Carnot's principle],&amp;quot; in G. J. Erickson and C. R. Smith (eds.)''Maximum-Entropy and Bayesian Methods in Science and Engineering, Vol'' 1: p.&amp;amp;nbsp;267.&lt;br /&gt;
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*[http://neo-classical-physics.info/uploads/3/0/6/5/3065888/caratheodory_-_thermodynamics.pdf Caratheodory, C., &amp;quot;Examination of the foundations of thermodynamics,&amp;quot; trans. by D. H. Delphenich]&lt;br /&gt;
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* [https://www.bbc.co.uk/programmes/p004y2bm The Second Law of Thermodynamics], BBC Radio 4 discussion with John Gribbin, Peter Atkins &amp;amp; Monica Grady (''In Our Time'', Dec. 16, 2004)&lt;br /&gt;
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* [http://mdpi.org/entropy/papers/e6010001.pdf [[Entropy (journal)]], 2004]&lt;br /&gt;
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* [https://www.journals.uchicago.edu/doi/abs/10.1086/663835 The Journal of the International Society for the History of Philosophy of Science, 2012]&lt;br /&gt;
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{{DEFAULTSORT:Second Law Of Thermodynamics}}&lt;br /&gt;
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分类: 物理概念&lt;br /&gt;
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[[Category:Laws of thermodynamics|2]]&lt;br /&gt;
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[[Category:Non-equilibrium thermodynamics]]&lt;br /&gt;
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类别: 非平衡态热力学&lt;br /&gt;
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&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Second law of thermodynamics]]. Its edit history can be viewed at [[热力学第二定律/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
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[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12752</id>
		<title>度分布</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12752"/>
		<updated>2020-08-16T13:25:03Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Excess degree distribution */&lt;/p&gt;
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&lt;div&gt;本词条由Ryan初步翻译&lt;br /&gt;
&lt;br /&gt;
{{Network Science}}&lt;br /&gt;
&lt;br /&gt;
In the study of [[Graph (discrete mathematics)|graphs]] and [[complex network|networks]], the [[degree (graph theory)|degree]] of a node in a network is the number of connections it has to other nodes and the '''degree distribution''' is the [[probability distribution]] of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
In the study of graphs and networks, the degree of a node in a network is the number of connections it has to other nodes and the degree distribution is the probability distribution of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;图 Graphs&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;网络 Networks&amp;lt;/font&amp;gt;'''的研究中，网络中节点的度是它与其他节点的连接数，而度的分布就是整个网络中这些度的概率分布。&lt;br /&gt;
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==Definition==&lt;br /&gt;
定义&lt;br /&gt;
&lt;br /&gt;
The [[degree (graph theory)|degree]] of a node in a network (sometimes referred to incorrectly as the [[Connectivity (graph theory)|connectivity]]) is the number of connections or [[Edge (graph theory)#Graph|edges]] the node has to other nodes. If a network is [[directed graph|directed]], meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes. If a network is directed, meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
网络中一个节点的度(有时会被错误地指代为连通性)是该节点与其他节点的连接或边的数量。如果一个网络是有向的，这意味着边沿着一个方向从一个节点指向另一个节点。那么节点们就会有两个不同的度，一个度表示传入边的数量，另一个度表示传出边的数量。&lt;br /&gt;
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&lt;br /&gt;
&lt;br /&gt;
The degree distribution ''P''(''k'') of a network is then defined to be the fraction of nodes in the network with degree ''k''.  Thus if there are ''n'' nodes in total in a network and ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt; of them have degree ''k'', we have ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''.&lt;br /&gt;
&lt;br /&gt;
The degree distribution P(k) of a network is then defined to be the fraction of nodes in the network with degree k.  Thus if there are n nodes in total in a network and n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; of them have degree k, we have P(k) = n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;/n.&lt;br /&gt;
&lt;br /&gt;
将网络的度分布''P''(''k'')定义为网络中度值为''k''的所有节点与总节点数量的分数比值，如果一个网络中有''n''个节点，且其中''n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;''个节点的度值为''k''，则 ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''。&lt;br /&gt;
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The same information is also sometimes presented in the form of a ''cumulative degree distribution'', the fraction of nodes with degree smaller than ''k'', or even the ''complementary cumulative degree distribution'', the fraction of nodes with degree greater than or equal to ''k'' (1 - ''C'') if one considers ''C'' as the ''cumulative degree distribution'';  i.e. the complement of ''C''.&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a cumulative degree distribution, the fraction of nodes with degree smaller than k, or even the complementary cumulative degree distribution, the fraction of nodes with degree greater than or equal to k (1 - C) if one considers C as the cumulative degree distribution;  i.e. the complement of C.&lt;br /&gt;
&lt;br /&gt;
同样的信息有时也以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;累积度分布函数 Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（随机选择一个节点，其度值小于k的概率）的形式表示，或是用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;互补累积度分布函数 Complementary Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（如果把''C''看作累积度分布，该函数则为度大于或等于''k'' (1 - ''C'')的节点比例）的形式表示，与积累度分布互补。&lt;br /&gt;
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== Observed degree distributions ==&lt;br /&gt;
观察度分布&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the [[Internet]] and [[social networks]], and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) [[random graph]], in which each of ''n'' nodes is independently connected (or not) with probability ''p'' (or 1 − ''p''), has a [[binomial distribution]] of degrees ''k'':&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:&lt;br /&gt;
&lt;br /&gt;
度分布在研究真实网络(如互联网和社会网络)和理论网络中都非常重要。最简单的网络模型，例如(Erdős–Rényi 模型)'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;随机图 Random Graph&amp;lt;/font&amp;gt;'''，其中每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，它的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;二项分布 Binomial Distribution&amp;lt;/font&amp;gt;'''的度值为''k'':&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = {n-1\choose k} p^k (1 - p)^{n-1-k},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
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(or [[Poisson distribution|Poisson]] in the limit of large ''n'', if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly [[Skewness|right-skewed]], meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the [[world wide web]], and some social networks were argued to have degree distributions that approximately follow a [[power law]]: &lt;br /&gt;
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(or Poisson in the limit of large n, if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly right-skewed, meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the world wide web, and some social networks were argued to have degree distributions that approximately follow a power law: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(如果平均度\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt;保持不变，也会出现有限节点的泊松分布)。然而，现实世界中的大多数网络的度分布与上述分布非常不同。大多数节点是高度右倾的，这意味着大多数节点的度值较低，但少数节点，即所谓的“枢纽” ，度值较高。一些网络，特别是互联网、万维网和一些社交网络，被认为具有近似遵循幂定律的幂律分布:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)\sim k^{-\gamma}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where ''γ'' is a constant. Such networks are called [[scale-free networks]] and have attracted particular attention for their structural and dynamical properties&amp;lt;ref name=&amp;quot;BA&amp;quot;&amp;gt;{{cite journal | last=Barabási | first=Albert-László | last2=Albert | first2=Réka | title=Emergence of Scaling in Random Networks | journal=Science | volume=286 | issue=5439 | date=1999-10-15 | issn=0036-8075 | doi=10.1126/science.286.5439.509 | pages=509–512| pmid=10521342 | arxiv=cond-mat/9910332 | bibcode=1999Sci...286..509B }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;AB&amp;quot;&amp;gt;{{cite journal | last=Albert | first=Réka | last2=Barabási | first2=Albert-László | title=Topology of Evolving Networks: Local Events and Universality | journal=Physical Review Letters | volume=85 | issue=24 | date=2000-12-11 | issn=0031-9007 | doi=10.1103/physrevlett.85.5234 | pages=5234–5237| pmid=11102229 | arxiv=cond-mat/0005085 | bibcode=2000PhRvL..85.5234A | hdl=2047/d20000695 | url=https://repository.library.northeastern.edu/files/neu:331099/fulltext.pdf }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Doro&amp;quot;&amp;gt;{{cite journal | last=Dorogovtsev | first=S. N. | last2=Mendes | first2=J. F. F. | last3=Samukhin | first3=A. N. | title=Size-dependent degree distribution of a scale-free growing network | journal=Physical Review E | volume=63 | issue=6 | date=2001-05-21 | issn=1063-651X | doi=10.1103/physreve.63.062101 | page=062101| pmid=11415146 |arxiv=cond-mat/0011115| bibcode=2001PhRvE..63f2101D }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;PSY&amp;quot;&amp;gt;{{cite journal|title=Scale-free behavior of networks with the copresence of preferential and uniform attachment rules|journal=Physica D: Nonlinear Phenomena|year=2018|first=Angelica |last=Pachon |first2=Laura |last2=Sacerdote |first3=Shuyi |last3=Yang |volume=371|pages=1–12|doi=10.1016/j.physd.2018.01.005|arxiv=1704.08597|bibcode=2018PhyD..371....1P}}&amp;lt;/ref&amp;gt;. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have [[Fat-tailed distribution|fat-tailed degree distributions]], they deviate from being [[Scale-free network|scale-free]].&amp;lt;ref&amp;gt;{{Cite journal|last=Holme|first=Petter|date=2019-03-04|title=Rare and everywhere: Perspectives on scale-free networks|journal=Nature Communications|language=en|volume=10|issue=1|pages=1016|doi=10.1038/s41467-019-09038-8|issn=2041-1723|pmc=6399274|pmid=30833568|bibcode=2019NatCo..10.1016H}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
&lt;br /&gt;
where γ is a constant. Such networks are called scale-free networks and have attracted particular attention for their structural and dynamical properties. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have fat-tailed degree distributions, they deviate from being scale-free. &lt;br /&gt;
&lt;br /&gt;
γ是一个常数。这种网络被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;无标度网络 Scale-Free Networks&amp;lt;/font&amp;gt;'''，因其结构和动力学性质而引起人们的特别关注。然而，最近有一些基于真实数据的研究表明，尽管大多数观测到的网络具有'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;肥尾度分布 Fat-Tailed Degree Distributions&amp;lt;/font&amp;gt;'''，但它们无标度分布的特点并不明显。&lt;br /&gt;
&lt;br /&gt;
== Excess degree distribution ==&lt;br /&gt;
超额度分布&lt;br /&gt;
&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）同样 标题为专业名词的  可以把正文中对应的专业名词进行标注标橙&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite book|last=Newman|first=Mark|url=http://www.oxfordscholarship.com/view/10.1093/oso/9780198805090.001.0001/oso-9780198805090|title=Networks|date=2018-10-18|publisher=Oxford University Press|isbn=978-0-19-880509-0|volume=1|language=en|doi=10.1093/oso/9780198805090.001.0001}}&amp;lt;/ref&amp;gt; In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node. In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
超额度分布是通过跟随一条边到达该节点的其他边的数量的概率分布。换句话说，它是通过跟随一个链接从一个节点到达的其传出链接的分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Suppose a network has a degree distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;, by selecting one node (randomly or not) and going to one of its neighbors (assuming to have one neighbor at least), then the probability of that node to have &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; neighbors is not given by &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;. The reason is that, whenever some node is selected in a heterogeneous network, it is more probable to reach the hobs by following one of the existing neighbors of that node. The true probability of such nodes to have degree &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; is &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; which is called the ''excess degree'' of that node. In the [[configuration model]], which correlations between the nodes have been ignored and every node is assumed to be connected to any other nodes in the network with the same probability, the excess degree distribution can be found as&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
假设一个网络具有度分布&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;,通过选择一个节点(随机或非随机)跟踪它的一个邻居(假设至少有一个邻居) ，那么该节点具有&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; 个邻居的概率不是由&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;.给出的原因在于，无论何时在异质网络中选择某个节点，它都更有可能通过跟随该节点的某个现有邻居到达枢纽节点。这些节点具有度&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt;的真实概率是&amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;，它被称为该节点的超额度。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;配置模型 Configuration Model&amp;lt;/font&amp;gt;'''中，忽略节点之间的相关性，并假定每个节点以相同的概率连接到网络中的其他任何节点，超额度分布表示为:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the [[friendship paradox]]. It can be shown that a network can have a [[giant component]], if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the friendship paradox. It can be shown that a network can have a giant component, if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
这里&amp;lt;math&amp;gt;{\langle k \rangle}&amp;lt;/math &amp;gt; 是模型的平均度。由此可知，任何节点的邻居的平均度大于该节点的平均度。在社交网络中，这意味着你的朋友平均比你拥有更多的朋友。这就是著名的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;友谊悖论 Friendship Paradox&amp;lt;/font&amp;gt;'''。可以证明，如果一个网络的平均超额度大于1，那么它可以有一个巨大的联通子网络:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\sum_k kq(k) &amp;gt; 1 \Rightarrow  {\langle k^2 \rangle}-2{\langle k \rangle}&amp;gt;0 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the [[configuration model]] and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the configuration model and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&lt;br /&gt;
&lt;br /&gt;
记住，最后两个方程只适用于配置模型，要推导出实词网络的超额度分布，还应考虑度相关性。&lt;br /&gt;
&lt;br /&gt;
== The Generating Functions Method ==&lt;br /&gt;
生成函数方法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Probability-generating function|Generating functions]] can be used to calculate different properties of random networks. Given the degree distribution and the excess degree distribution of some network, &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; respectively, it is possible to write two power series in the following forms:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; can also be obtained from derivatives of &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If we know the generating function for a probability distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; then we can recover the values of &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; by differentiating:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Some properties, e.g. the moments, can be easily calculated from &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and its derivatives:&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
And in general&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For [[Poisson distribution|Poisson]]-distributed random networks, such as the [[Erdős–Rényi model|ER graph]], &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;, that is the reason why the theory of random networks of this type is especially simple. The probability distributions for the 1st and 2nd-nearest neighbors are generated by the functions &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(G_1(x)) &lt;br /&gt;
&amp;lt;/math&amp;gt;. By extension, the distribution of &amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th neighbors is generated by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, with &amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; iterations of the function &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; acting on itself.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last=Newman|first=M. E. J.|last2=Strogatz|first2=S. H.|last3=Watts|first3=D. J.|date=2001-07-24|title=Random graphs with arbitrary degree distributions and their applications|url=https://link.aps.org/doi/10.1103/PhysRevE.64.026118|journal=Physical Review E|language=en|volume=64|issue=2|pages=026118|doi=10.1103/PhysRevE.64.026118|issn=1063-651X|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors is: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
生成函数可以用来计算随机网络的不同性质。给定某些网络的度分布和超度分布，&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以以下列形式写出两个幂级数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; 的值也可得出通过 &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;的导数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
如果我们知道生成函数的一个概率分布，然后我们就得到&amp;lt;math&amp;gt;P(k)&amp;lt;/math&amp;gt;的值通过鉴别：&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一些性质，例如，时刻性。然后，可以很容易地进行计算依据&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和它的导数:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一般来说:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
对于泊松分布的随机网络，如 ER 图，&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;这就是为什么这种类型的随机网络理论特别简单的原因。第一和第二近邻的概率分布是由函数&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;G0(G1(x))&amp;lt;/math&amp;gt;生成的。进一步扩展，&amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th的邻居的分布是由以下几个因素产生的:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, 以&amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 迭代到 &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 函数本身。第一个邻居的平均数量&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; 第二个邻居的平均数量是:&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Degree distribution for directed networks ==&lt;br /&gt;
有向网络的度分布&lt;br /&gt;
&lt;br /&gt;
[[File:Enwiki-degree-distribution.png|thumb|right|320px|&lt;br /&gt;
图1：In/out degree distribution for Wikipedia's hyperlink graph (logarithmic scales) 维基百科超链接图(对数尺度)的入/出度分布]]&lt;br /&gt;
&lt;br /&gt;
In a directed network, each node has some in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and some out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; which are the number of links which have run into and out of that node respectfully. If &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; is the probability that a randomly chosen node has in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; then the generating function assigned to this [[joint probability distribution]] can be written with two valuables &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; as:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
在有向网络中，每个节点都有一些入度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; 和一些出度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt;分别指代的是指向该节点的边的数量和从该节点指出的边的数量。如果 &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; 是一个随机选择的具有入出度的节点的可能性。那么分配给这个生成函数的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合概率分布  Joint Probability Distribution&amp;lt;/font&amp;gt;'''可以被写成两个变量 &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Since every link in a directed network must leave some node and enter another, the net average number of links entering&lt;br /&gt;
&lt;br /&gt;
a node is zero. Therefore, &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
which implies that, the generation function must satisfy:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean degree (both in and out) of the nodes in the network; &amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
由于有向网络中的每个链路必须离开某个节点并进入另一个节点，因此进入一个节点的链路的净平均数是零。所以,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这意味着，生成函数必须满足:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt;是网络中节点的平均度(内部和外部)&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Using the function &amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;, we can again find the generation function for the in/out-degree distribution and in/out-excess degree distribution, as before. &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; can be defined as generating functions for the number of arriving links at a randomly chosen node, and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;can be defined as the number of arriving links at a node reached by following a randomly chosen link. We can also define generating functions &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; for the number leaving such a node:&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
使用函数&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;如前所述，我们可以再次找到入/出度分布和入/出超量度分布的生成函数。可以将&amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;定义为一个随机选择的节点上到达的链接数的生成函数，以及 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以定义为按照随机选择的链接到达一个节点的到达链接数。我们也可以定义生成函数 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt;表示离开节点的边的数量:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here, the average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;, or as previously introduced as &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors reachable from a randomly chosen node is given by: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. These are also the numbers of 1st and 2nd neighbors from which a random node can be reached, since these equations are manifestly symmetric in &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这里，第一个邻居的平均数量math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;，或者像之前表示的&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;从一个随机选择的节点上可达到的第二邻居的平均数是&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. 这些是从随机选择的节点所达到第一和第二邻居的数量，因为这些方程显然是在&amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt;和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;上对称的。&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Graph theory]]&lt;br /&gt;
图论&lt;br /&gt;
* [[Complex network]]&lt;br /&gt;
复杂网络&lt;br /&gt;
* [[Scale-free network]]&lt;br /&gt;
无标度网络&lt;br /&gt;
* [[Random graph]]&lt;br /&gt;
随机网络&lt;br /&gt;
* [[Structural cut-off]]&lt;br /&gt;
结构截止值&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该部分也为专业名词 需要进行标橙&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
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| title = 网络的进化&lt;br /&gt;
&lt;br /&gt;
  | journal = Advances in Physics&lt;br /&gt;
&lt;br /&gt;
  | journal = Advances in Physics&lt;br /&gt;
&lt;br /&gt;
| 杂志 = 物理进展&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
51&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
2002年&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
10.1080/00018730110112519&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
第四期&lt;br /&gt;
&lt;br /&gt;
|bibcode = 2002AdPhy..51.1079D }}&lt;br /&gt;
&lt;br /&gt;
|bibcode = 2002AdPhy..51.1079D }}&lt;br /&gt;
&lt;br /&gt;
2002/adphy. . 51.1079 d }&lt;br /&gt;
&lt;br /&gt;
* {{cite journal&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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| first = m.E.j.&lt;br /&gt;
&lt;br /&gt;
 |title=The structure and function of complex networks &lt;br /&gt;
&lt;br /&gt;
 |title=The structure and function of complex networks &lt;br /&gt;
&lt;br /&gt;
| title = 复杂网络的结构和功能&lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
| journal = SIAM Review&lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
45&lt;br /&gt;
&lt;br /&gt;
 |pages=167–256 &lt;br /&gt;
&lt;br /&gt;
 |pages=167–256 &lt;br /&gt;
&lt;br /&gt;
| 页 = 167-256&lt;br /&gt;
&lt;br /&gt;
 |year=2003 &lt;br /&gt;
&lt;br /&gt;
 |year=2003 &lt;br /&gt;
&lt;br /&gt;
2003年&lt;br /&gt;
&lt;br /&gt;
 |doi=10.1137/S003614450342480 &lt;br /&gt;
&lt;br /&gt;
 |doi=10.1137/S003614450342480 &lt;br /&gt;
&lt;br /&gt;
| doi = 10.1137/S003614450342480&lt;br /&gt;
&lt;br /&gt;
 |issue=2 &lt;br /&gt;
&lt;br /&gt;
 |issue=2 &lt;br /&gt;
&lt;br /&gt;
2&lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516 &lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516 &lt;br /&gt;
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 |arxiv=cond-mat/0303516&lt;br /&gt;
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}}&lt;br /&gt;
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}}&lt;br /&gt;
&lt;br /&gt;
* {{cite book &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
复杂网络: 结构、健壮性和功能&lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
作者: Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
| 作者链接 = Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
   &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
2 = Reuven Cohen | last-author-amp = yes&lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
2010年&lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
Http://havlin.biu.ac.il/shlomo%20havlin%20books_com_net.php&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
剑桥大学出版社&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph theory&lt;br /&gt;
&lt;br /&gt;
范畴: 图论&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph invariants]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph invariants&lt;br /&gt;
&lt;br /&gt;
类别: 图形不变量&lt;br /&gt;
&lt;br /&gt;
[[Category:Network theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Network theory&lt;br /&gt;
&lt;br /&gt;
范畴: 网络理论&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Degree distribution]]. Its edit history can be viewed at [[度分布/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12750</id>
		<title>度分布</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12750"/>
		<updated>2020-08-16T13:21:40Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* See also */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;本词条由Ryan初步翻译&lt;br /&gt;
&lt;br /&gt;
{{Network Science}}&lt;br /&gt;
&lt;br /&gt;
In the study of [[Graph (discrete mathematics)|graphs]] and [[complex network|networks]], the [[degree (graph theory)|degree]] of a node in a network is the number of connections it has to other nodes and the '''degree distribution''' is the [[probability distribution]] of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
In the study of graphs and networks, the degree of a node in a network is the number of connections it has to other nodes and the degree distribution is the probability distribution of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;图 Graphs&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;网络 Networks&amp;lt;/font&amp;gt;'''的研究中，网络中节点的度是它与其他节点的连接数，而度的分布就是整个网络中这些度的概率分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Definition==&lt;br /&gt;
定义&lt;br /&gt;
&lt;br /&gt;
The [[degree (graph theory)|degree]] of a node in a network (sometimes referred to incorrectly as the [[Connectivity (graph theory)|connectivity]]) is the number of connections or [[Edge (graph theory)#Graph|edges]] the node has to other nodes. If a network is [[directed graph|directed]], meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes. If a network is directed, meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
网络中一个节点的度(有时会被错误地指代为连通性)是该节点与其他节点的连接或边的数量。如果一个网络是有向的，这意味着边沿着一个方向从一个节点指向另一个节点。那么节点们就会有两个不同的度，一个度表示传入边的数量，另一个度表示传出边的数量。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The degree distribution ''P''(''k'') of a network is then defined to be the fraction of nodes in the network with degree ''k''.  Thus if there are ''n'' nodes in total in a network and ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt; of them have degree ''k'', we have ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''.&lt;br /&gt;
&lt;br /&gt;
The degree distribution P(k) of a network is then defined to be the fraction of nodes in the network with degree k.  Thus if there are n nodes in total in a network and n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; of them have degree k, we have P(k) = n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;/n.&lt;br /&gt;
&lt;br /&gt;
将网络的度分布''P''(''k'')定义为网络中度值为''k''的所有节点与总节点数量的分数比值，如果一个网络中有''n''个节点，且其中''n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;''个节点的度值为''k''，则 ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a ''cumulative degree distribution'', the fraction of nodes with degree smaller than ''k'', or even the ''complementary cumulative degree distribution'', the fraction of nodes with degree greater than or equal to ''k'' (1 - ''C'') if one considers ''C'' as the ''cumulative degree distribution'';  i.e. the complement of ''C''.&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a cumulative degree distribution, the fraction of nodes with degree smaller than k, or even the complementary cumulative degree distribution, the fraction of nodes with degree greater than or equal to k (1 - C) if one considers C as the cumulative degree distribution;  i.e. the complement of C.&lt;br /&gt;
&lt;br /&gt;
同样的信息有时也以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;累积度分布函数 Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（随机选择一个节点，其度值小于k的概率）的形式表示，或是用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;互补累积度分布函数 Complementary Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（如果把''C''看作累积度分布，该函数则为度大于或等于''k'' (1 - ''C'')的节点比例）的形式表示，与积累度分布互补。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Observed degree distributions ==&lt;br /&gt;
观察度分布&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the [[Internet]] and [[social networks]], and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) [[random graph]], in which each of ''n'' nodes is independently connected (or not) with probability ''p'' (or 1 − ''p''), has a [[binomial distribution]] of degrees ''k'':&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:&lt;br /&gt;
&lt;br /&gt;
度分布在研究真实网络(如互联网和社会网络)和理论网络中都非常重要。最简单的网络模型，例如(Erdős–Rényi 模型)'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;随机图 Random Graph&amp;lt;/font&amp;gt;'''，其中每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，它的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;二项分布 Binomial Distribution&amp;lt;/font&amp;gt;'''的度值为''k'':&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = {n-1\choose k} p^k (1 - p)^{n-1-k},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or [[Poisson distribution|Poisson]] in the limit of large ''n'', if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly [[Skewness|right-skewed]], meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the [[world wide web]], and some social networks were argued to have degree distributions that approximately follow a [[power law]]: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or Poisson in the limit of large n, if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly right-skewed, meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the world wide web, and some social networks were argued to have degree distributions that approximately follow a power law: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(如果平均度\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt;保持不变，也会出现有限节点的泊松分布)。然而，现实世界中的大多数网络的度分布与上述分布非常不同。大多数节点是高度右倾的，这意味着大多数节点的度值较低，但少数节点，即所谓的“枢纽” ，度值较高。一些网络，特别是互联网、万维网和一些社交网络，被认为具有近似遵循幂定律的幂律分布:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)\sim k^{-\gamma}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where ''γ'' is a constant. Such networks are called [[scale-free networks]] and have attracted particular attention for their structural and dynamical properties&amp;lt;ref name=&amp;quot;BA&amp;quot;&amp;gt;{{cite journal | last=Barabási | first=Albert-László | last2=Albert | first2=Réka | title=Emergence of Scaling in Random Networks | journal=Science | volume=286 | issue=5439 | date=1999-10-15 | issn=0036-8075 | doi=10.1126/science.286.5439.509 | pages=509–512| pmid=10521342 | arxiv=cond-mat/9910332 | bibcode=1999Sci...286..509B }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;AB&amp;quot;&amp;gt;{{cite journal | last=Albert | first=Réka | last2=Barabási | first2=Albert-László | title=Topology of Evolving Networks: Local Events and Universality | journal=Physical Review Letters | volume=85 | issue=24 | date=2000-12-11 | issn=0031-9007 | doi=10.1103/physrevlett.85.5234 | pages=5234–5237| pmid=11102229 | arxiv=cond-mat/0005085 | bibcode=2000PhRvL..85.5234A | hdl=2047/d20000695 | url=https://repository.library.northeastern.edu/files/neu:331099/fulltext.pdf }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Doro&amp;quot;&amp;gt;{{cite journal | last=Dorogovtsev | first=S. N. | last2=Mendes | first2=J. F. F. | last3=Samukhin | first3=A. N. | title=Size-dependent degree distribution of a scale-free growing network | journal=Physical Review E | volume=63 | issue=6 | date=2001-05-21 | issn=1063-651X | doi=10.1103/physreve.63.062101 | page=062101| pmid=11415146 |arxiv=cond-mat/0011115| bibcode=2001PhRvE..63f2101D }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;PSY&amp;quot;&amp;gt;{{cite journal|title=Scale-free behavior of networks with the copresence of preferential and uniform attachment rules|journal=Physica D: Nonlinear Phenomena|year=2018|first=Angelica |last=Pachon |first2=Laura |last2=Sacerdote |first3=Shuyi |last3=Yang |volume=371|pages=1–12|doi=10.1016/j.physd.2018.01.005|arxiv=1704.08597|bibcode=2018PhyD..371....1P}}&amp;lt;/ref&amp;gt;. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have [[Fat-tailed distribution|fat-tailed degree distributions]], they deviate from being [[Scale-free network|scale-free]].&amp;lt;ref&amp;gt;{{Cite journal|last=Holme|first=Petter|date=2019-03-04|title=Rare and everywhere: Perspectives on scale-free networks|journal=Nature Communications|language=en|volume=10|issue=1|pages=1016|doi=10.1038/s41467-019-09038-8|issn=2041-1723|pmc=6399274|pmid=30833568|bibcode=2019NatCo..10.1016H}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
&lt;br /&gt;
where γ is a constant. Such networks are called scale-free networks and have attracted particular attention for their structural and dynamical properties. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have fat-tailed degree distributions, they deviate from being scale-free. &lt;br /&gt;
&lt;br /&gt;
γ是一个常数。这种网络被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;无标度网络 Scale-Free Networks&amp;lt;/font&amp;gt;'''，因其结构和动力学性质而引起人们的特别关注。然而，最近有一些基于真实数据的研究表明，尽管大多数观测到的网络具有'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;肥尾度分布 Fat-Tailed Degree Distributions&amp;lt;/font&amp;gt;'''，但它们无标度分布的特点并不明显。&lt;br /&gt;
&lt;br /&gt;
== Excess degree distribution ==&lt;br /&gt;
超额度分布&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite book|last=Newman|first=Mark|url=http://www.oxfordscholarship.com/view/10.1093/oso/9780198805090.001.0001/oso-9780198805090|title=Networks|date=2018-10-18|publisher=Oxford University Press|isbn=978-0-19-880509-0|volume=1|language=en|doi=10.1093/oso/9780198805090.001.0001}}&amp;lt;/ref&amp;gt; In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node. In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
超额度分布是通过跟随一条边到达该节点的其他边的数量的概率分布。换句话说，它是通过跟随一个链接从一个节点到达的其传出链接的分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Suppose a network has a degree distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;, by selecting one node (randomly or not) and going to one of its neighbors (assuming to have one neighbor at least), then the probability of that node to have &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; neighbors is not given by &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;. The reason is that, whenever some node is selected in a heterogeneous network, it is more probable to reach the hobs by following one of the existing neighbors of that node. The true probability of such nodes to have degree &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; is &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; which is called the ''excess degree'' of that node. In the [[configuration model]], which correlations between the nodes have been ignored and every node is assumed to be connected to any other nodes in the network with the same probability, the excess degree distribution can be found as&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
假设一个网络具有度分布&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;,通过选择一个节点(随机或非随机)跟踪它的一个邻居(假设至少有一个邻居) ，那么该节点具有&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; 个邻居的概率不是由&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;.给出的原因在于，无论何时在异质网络中选择某个节点，它都更有可能通过跟随该节点的某个现有邻居到达枢纽节点。这些节点具有度&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt;的真实概率是&amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;，它被称为该节点的超额度。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;配置模型 Configuration Model&amp;lt;/font&amp;gt;'''中，忽略节点之间的相关性，并假定每个节点以相同的概率连接到网络中的其他任何节点，超额度分布表示为:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the [[friendship paradox]]. It can be shown that a network can have a [[giant component]], if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the friendship paradox. It can be shown that a network can have a giant component, if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
这里&amp;lt;math&amp;gt;{\langle k \rangle}&amp;lt;/math &amp;gt; 是模型的平均度。由此可知，任何节点的邻居的平均度大于该节点的平均度。在社交网络中，这意味着你的朋友平均比你拥有更多的朋友。这就是著名的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;友谊悖论 Friendship Paradox&amp;lt;/font&amp;gt;'''。可以证明，如果一个网络的平均超额度大于1，那么它可以有一个巨大的联通子网络:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\sum_k kq(k) &amp;gt; 1 \Rightarrow  {\langle k^2 \rangle}-2{\langle k \rangle}&amp;gt;0 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the [[configuration model]] and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the configuration model and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&lt;br /&gt;
&lt;br /&gt;
记住，最后两个方程只适用于配置模型，要推导出实词网络的超额度分布，还应考虑度相关性。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== The Generating Functions Method ==&lt;br /&gt;
生成函数方法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Probability-generating function|Generating functions]] can be used to calculate different properties of random networks. Given the degree distribution and the excess degree distribution of some network, &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; respectively, it is possible to write two power series in the following forms:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; can also be obtained from derivatives of &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If we know the generating function for a probability distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; then we can recover the values of &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; by differentiating:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Some properties, e.g. the moments, can be easily calculated from &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and its derivatives:&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
And in general&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For [[Poisson distribution|Poisson]]-distributed random networks, such as the [[Erdős–Rényi model|ER graph]], &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;, that is the reason why the theory of random networks of this type is especially simple. The probability distributions for the 1st and 2nd-nearest neighbors are generated by the functions &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(G_1(x)) &lt;br /&gt;
&amp;lt;/math&amp;gt;. By extension, the distribution of &amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th neighbors is generated by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, with &amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; iterations of the function &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; acting on itself.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last=Newman|first=M. E. J.|last2=Strogatz|first2=S. H.|last3=Watts|first3=D. J.|date=2001-07-24|title=Random graphs with arbitrary degree distributions and their applications|url=https://link.aps.org/doi/10.1103/PhysRevE.64.026118|journal=Physical Review E|language=en|volume=64|issue=2|pages=026118|doi=10.1103/PhysRevE.64.026118|issn=1063-651X|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors is: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
生成函数可以用来计算随机网络的不同性质。给定某些网络的度分布和超度分布，&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以以下列形式写出两个幂级数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; 的值也可得出通过 &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;的导数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
如果我们知道生成函数的一个概率分布，然后我们就得到&amp;lt;math&amp;gt;P(k)&amp;lt;/math&amp;gt;的值通过鉴别：&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一些性质，例如，时刻性。然后，可以很容易地进行计算依据&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和它的导数:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一般来说:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
对于泊松分布的随机网络，如 ER 图，&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;这就是为什么这种类型的随机网络理论特别简单的原因。第一和第二近邻的概率分布是由函数&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;G0(G1(x))&amp;lt;/math&amp;gt;生成的。进一步扩展，&amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th的邻居的分布是由以下几个因素产生的:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, 以&amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 迭代到 &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 函数本身。第一个邻居的平均数量&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; 第二个邻居的平均数量是:&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Degree distribution for directed networks ==&lt;br /&gt;
有向网络的度分布&lt;br /&gt;
&lt;br /&gt;
[[File:Enwiki-degree-distribution.png|thumb|right|320px|&lt;br /&gt;
图1：In/out degree distribution for Wikipedia's hyperlink graph (logarithmic scales) 维基百科超链接图(对数尺度)的入/出度分布]]&lt;br /&gt;
&lt;br /&gt;
In a directed network, each node has some in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and some out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; which are the number of links which have run into and out of that node respectfully. If &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; is the probability that a randomly chosen node has in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; then the generating function assigned to this [[joint probability distribution]] can be written with two valuables &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; as:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
在有向网络中，每个节点都有一些入度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; 和一些出度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt;分别指代的是指向该节点的边的数量和从该节点指出的边的数量。如果 &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; 是一个随机选择的具有入出度的节点的可能性。那么分配给这个生成函数的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合概率分布  Joint Probability Distribution&amp;lt;/font&amp;gt;'''可以被写成两个变量 &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Since every link in a directed network must leave some node and enter another, the net average number of links entering&lt;br /&gt;
&lt;br /&gt;
a node is zero. Therefore, &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
which implies that, the generation function must satisfy:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean degree (both in and out) of the nodes in the network; &amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
由于有向网络中的每个链路必须离开某个节点并进入另一个节点，因此进入一个节点的链路的净平均数是零。所以,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这意味着，生成函数必须满足:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt;是网络中节点的平均度(内部和外部)&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Using the function &amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;, we can again find the generation function for the in/out-degree distribution and in/out-excess degree distribution, as before. &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; can be defined as generating functions for the number of arriving links at a randomly chosen node, and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;can be defined as the number of arriving links at a node reached by following a randomly chosen link. We can also define generating functions &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; for the number leaving such a node:&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
使用函数&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;如前所述，我们可以再次找到入/出度分布和入/出超量度分布的生成函数。可以将&amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;定义为一个随机选择的节点上到达的链接数的生成函数，以及 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以定义为按照随机选择的链接到达一个节点的到达链接数。我们也可以定义生成函数 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt;表示离开节点的边的数量:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here, the average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;, or as previously introduced as &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors reachable from a randomly chosen node is given by: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. These are also the numbers of 1st and 2nd neighbors from which a random node can be reached, since these equations are manifestly symmetric in &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这里，第一个邻居的平均数量math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;，或者像之前表示的&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;从一个随机选择的节点上可达到的第二邻居的平均数是&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. 这些是从随机选择的节点所达到第一和第二邻居的数量，因为这些方程显然是在&amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt;和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;上对称的。&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Graph theory]]&lt;br /&gt;
图论&lt;br /&gt;
* [[Complex network]]&lt;br /&gt;
复杂网络&lt;br /&gt;
* [[Scale-free network]]&lt;br /&gt;
无标度网络&lt;br /&gt;
* [[Random graph]]&lt;br /&gt;
随机网络&lt;br /&gt;
* [[Structural cut-off]]&lt;br /&gt;
结构截止值&lt;br /&gt;
  --[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）该部分也为专业名词 需要进行标橙&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
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{{Reflist}}&lt;br /&gt;
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&lt;br /&gt;
}}&lt;br /&gt;
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* {{cite book &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
复杂网络: 结构、健壮性和功能&lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
作者: Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
| 作者链接 = Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
   &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
2 = Reuven Cohen | last-author-amp = yes&lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
2010年&lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
Http://havlin.biu.ac.il/shlomo%20havlin%20books_com_net.php&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
剑桥大学出版社&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
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}}&lt;br /&gt;
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}}&lt;br /&gt;
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[[Category:Graph theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph theory&lt;br /&gt;
&lt;br /&gt;
范畴: 图论&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph invariants]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph invariants&lt;br /&gt;
&lt;br /&gt;
类别: 图形不变量&lt;br /&gt;
&lt;br /&gt;
[[Category:Network theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Network theory&lt;br /&gt;
&lt;br /&gt;
范畴: 网络理论&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Degree distribution]]. Its edit history can be viewed at [[度分布/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12749</id>
		<title>度分布</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12749"/>
		<updated>2020-08-16T13:20:57Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* See also */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;本词条由Ryan初步翻译&lt;br /&gt;
&lt;br /&gt;
{{Network Science}}&lt;br /&gt;
&lt;br /&gt;
In the study of [[Graph (discrete mathematics)|graphs]] and [[complex network|networks]], the [[degree (graph theory)|degree]] of a node in a network is the number of connections it has to other nodes and the '''degree distribution''' is the [[probability distribution]] of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
In the study of graphs and networks, the degree of a node in a network is the number of connections it has to other nodes and the degree distribution is the probability distribution of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;图 Graphs&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;网络 Networks&amp;lt;/font&amp;gt;'''的研究中，网络中节点的度是它与其他节点的连接数，而度的分布就是整个网络中这些度的概率分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Definition==&lt;br /&gt;
定义&lt;br /&gt;
&lt;br /&gt;
The [[degree (graph theory)|degree]] of a node in a network (sometimes referred to incorrectly as the [[Connectivity (graph theory)|connectivity]]) is the number of connections or [[Edge (graph theory)#Graph|edges]] the node has to other nodes. If a network is [[directed graph|directed]], meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes. If a network is directed, meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
网络中一个节点的度(有时会被错误地指代为连通性)是该节点与其他节点的连接或边的数量。如果一个网络是有向的，这意味着边沿着一个方向从一个节点指向另一个节点。那么节点们就会有两个不同的度，一个度表示传入边的数量，另一个度表示传出边的数量。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The degree distribution ''P''(''k'') of a network is then defined to be the fraction of nodes in the network with degree ''k''.  Thus if there are ''n'' nodes in total in a network and ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt; of them have degree ''k'', we have ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''.&lt;br /&gt;
&lt;br /&gt;
The degree distribution P(k) of a network is then defined to be the fraction of nodes in the network with degree k.  Thus if there are n nodes in total in a network and n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; of them have degree k, we have P(k) = n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;/n.&lt;br /&gt;
&lt;br /&gt;
将网络的度分布''P''(''k'')定义为网络中度值为''k''的所有节点与总节点数量的分数比值，如果一个网络中有''n''个节点，且其中''n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;''个节点的度值为''k''，则 ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a ''cumulative degree distribution'', the fraction of nodes with degree smaller than ''k'', or even the ''complementary cumulative degree distribution'', the fraction of nodes with degree greater than or equal to ''k'' (1 - ''C'') if one considers ''C'' as the ''cumulative degree distribution'';  i.e. the complement of ''C''.&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a cumulative degree distribution, the fraction of nodes with degree smaller than k, or even the complementary cumulative degree distribution, the fraction of nodes with degree greater than or equal to k (1 - C) if one considers C as the cumulative degree distribution;  i.e. the complement of C.&lt;br /&gt;
&lt;br /&gt;
同样的信息有时也以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;累积度分布函数 Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（随机选择一个节点，其度值小于k的概率）的形式表示，或是用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;互补累积度分布函数 Complementary Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（如果把''C''看作累积度分布，该函数则为度大于或等于''k'' (1 - ''C'')的节点比例）的形式表示，与积累度分布互补。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Observed degree distributions ==&lt;br /&gt;
观察度分布&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the [[Internet]] and [[social networks]], and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) [[random graph]], in which each of ''n'' nodes is independently connected (or not) with probability ''p'' (or 1 − ''p''), has a [[binomial distribution]] of degrees ''k'':&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:&lt;br /&gt;
&lt;br /&gt;
度分布在研究真实网络(如互联网和社会网络)和理论网络中都非常重要。最简单的网络模型，例如(Erdős–Rényi 模型)'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;随机图 Random Graph&amp;lt;/font&amp;gt;'''，其中每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，它的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;二项分布 Binomial Distribution&amp;lt;/font&amp;gt;'''的度值为''k'':&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = {n-1\choose k} p^k (1 - p)^{n-1-k},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or [[Poisson distribution|Poisson]] in the limit of large ''n'', if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly [[Skewness|right-skewed]], meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the [[world wide web]], and some social networks were argued to have degree distributions that approximately follow a [[power law]]: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or Poisson in the limit of large n, if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly right-skewed, meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the world wide web, and some social networks were argued to have degree distributions that approximately follow a power law: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(如果平均度\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt;保持不变，也会出现有限节点的泊松分布)。然而，现实世界中的大多数网络的度分布与上述分布非常不同。大多数节点是高度右倾的，这意味着大多数节点的度值较低，但少数节点，即所谓的“枢纽” ，度值较高。一些网络，特别是互联网、万维网和一些社交网络，被认为具有近似遵循幂定律的幂律分布:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)\sim k^{-\gamma}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where ''γ'' is a constant. Such networks are called [[scale-free networks]] and have attracted particular attention for their structural and dynamical properties&amp;lt;ref name=&amp;quot;BA&amp;quot;&amp;gt;{{cite journal | last=Barabási | first=Albert-László | last2=Albert | first2=Réka | title=Emergence of Scaling in Random Networks | journal=Science | volume=286 | issue=5439 | date=1999-10-15 | issn=0036-8075 | doi=10.1126/science.286.5439.509 | pages=509–512| pmid=10521342 | arxiv=cond-mat/9910332 | bibcode=1999Sci...286..509B }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;AB&amp;quot;&amp;gt;{{cite journal | last=Albert | first=Réka | last2=Barabási | first2=Albert-László | title=Topology of Evolving Networks: Local Events and Universality | journal=Physical Review Letters | volume=85 | issue=24 | date=2000-12-11 | issn=0031-9007 | doi=10.1103/physrevlett.85.5234 | pages=5234–5237| pmid=11102229 | arxiv=cond-mat/0005085 | bibcode=2000PhRvL..85.5234A | hdl=2047/d20000695 | url=https://repository.library.northeastern.edu/files/neu:331099/fulltext.pdf }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Doro&amp;quot;&amp;gt;{{cite journal | last=Dorogovtsev | first=S. N. | last2=Mendes | first2=J. F. F. | last3=Samukhin | first3=A. N. | title=Size-dependent degree distribution of a scale-free growing network | journal=Physical Review E | volume=63 | issue=6 | date=2001-05-21 | issn=1063-651X | doi=10.1103/physreve.63.062101 | page=062101| pmid=11415146 |arxiv=cond-mat/0011115| bibcode=2001PhRvE..63f2101D }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;PSY&amp;quot;&amp;gt;{{cite journal|title=Scale-free behavior of networks with the copresence of preferential and uniform attachment rules|journal=Physica D: Nonlinear Phenomena|year=2018|first=Angelica |last=Pachon |first2=Laura |last2=Sacerdote |first3=Shuyi |last3=Yang |volume=371|pages=1–12|doi=10.1016/j.physd.2018.01.005|arxiv=1704.08597|bibcode=2018PhyD..371....1P}}&amp;lt;/ref&amp;gt;. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have [[Fat-tailed distribution|fat-tailed degree distributions]], they deviate from being [[Scale-free network|scale-free]].&amp;lt;ref&amp;gt;{{Cite journal|last=Holme|first=Petter|date=2019-03-04|title=Rare and everywhere: Perspectives on scale-free networks|journal=Nature Communications|language=en|volume=10|issue=1|pages=1016|doi=10.1038/s41467-019-09038-8|issn=2041-1723|pmc=6399274|pmid=30833568|bibcode=2019NatCo..10.1016H}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
&lt;br /&gt;
where γ is a constant. Such networks are called scale-free networks and have attracted particular attention for their structural and dynamical properties. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have fat-tailed degree distributions, they deviate from being scale-free. &lt;br /&gt;
&lt;br /&gt;
γ是一个常数。这种网络被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;无标度网络 Scale-Free Networks&amp;lt;/font&amp;gt;'''，因其结构和动力学性质而引起人们的特别关注。然而，最近有一些基于真实数据的研究表明，尽管大多数观测到的网络具有'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;肥尾度分布 Fat-Tailed Degree Distributions&amp;lt;/font&amp;gt;'''，但它们无标度分布的特点并不明显。&lt;br /&gt;
&lt;br /&gt;
== Excess degree distribution ==&lt;br /&gt;
超额度分布&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite book|last=Newman|first=Mark|url=http://www.oxfordscholarship.com/view/10.1093/oso/9780198805090.001.0001/oso-9780198805090|title=Networks|date=2018-10-18|publisher=Oxford University Press|isbn=978-0-19-880509-0|volume=1|language=en|doi=10.1093/oso/9780198805090.001.0001}}&amp;lt;/ref&amp;gt; In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node. In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
超额度分布是通过跟随一条边到达该节点的其他边的数量的概率分布。换句话说，它是通过跟随一个链接从一个节点到达的其传出链接的分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Suppose a network has a degree distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;, by selecting one node (randomly or not) and going to one of its neighbors (assuming to have one neighbor at least), then the probability of that node to have &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; neighbors is not given by &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;. The reason is that, whenever some node is selected in a heterogeneous network, it is more probable to reach the hobs by following one of the existing neighbors of that node. The true probability of such nodes to have degree &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; is &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; which is called the ''excess degree'' of that node. In the [[configuration model]], which correlations between the nodes have been ignored and every node is assumed to be connected to any other nodes in the network with the same probability, the excess degree distribution can be found as&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
假设一个网络具有度分布&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;,通过选择一个节点(随机或非随机)跟踪它的一个邻居(假设至少有一个邻居) ，那么该节点具有&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; 个邻居的概率不是由&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;.给出的原因在于，无论何时在异质网络中选择某个节点，它都更有可能通过跟随该节点的某个现有邻居到达枢纽节点。这些节点具有度&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt;的真实概率是&amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;，它被称为该节点的超额度。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;配置模型 Configuration Model&amp;lt;/font&amp;gt;'''中，忽略节点之间的相关性，并假定每个节点以相同的概率连接到网络中的其他任何节点，超额度分布表示为:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the [[friendship paradox]]. It can be shown that a network can have a [[giant component]], if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the friendship paradox. It can be shown that a network can have a giant component, if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
这里&amp;lt;math&amp;gt;{\langle k \rangle}&amp;lt;/math &amp;gt; 是模型的平均度。由此可知，任何节点的邻居的平均度大于该节点的平均度。在社交网络中，这意味着你的朋友平均比你拥有更多的朋友。这就是著名的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;友谊悖论 Friendship Paradox&amp;lt;/font&amp;gt;'''。可以证明，如果一个网络的平均超额度大于1，那么它可以有一个巨大的联通子网络:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\sum_k kq(k) &amp;gt; 1 \Rightarrow  {\langle k^2 \rangle}-2{\langle k \rangle}&amp;gt;0 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the [[configuration model]] and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the configuration model and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&lt;br /&gt;
&lt;br /&gt;
记住，最后两个方程只适用于配置模型，要推导出实词网络的超额度分布，还应考虑度相关性。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== The Generating Functions Method ==&lt;br /&gt;
生成函数方法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Probability-generating function|Generating functions]] can be used to calculate different properties of random networks. Given the degree distribution and the excess degree distribution of some network, &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; respectively, it is possible to write two power series in the following forms:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; can also be obtained from derivatives of &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If we know the generating function for a probability distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; then we can recover the values of &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; by differentiating:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Some properties, e.g. the moments, can be easily calculated from &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and its derivatives:&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
And in general&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For [[Poisson distribution|Poisson]]-distributed random networks, such as the [[Erdős–Rényi model|ER graph]], &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;, that is the reason why the theory of random networks of this type is especially simple. The probability distributions for the 1st and 2nd-nearest neighbors are generated by the functions &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(G_1(x)) &lt;br /&gt;
&amp;lt;/math&amp;gt;. By extension, the distribution of &amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th neighbors is generated by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, with &amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; iterations of the function &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; acting on itself.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last=Newman|first=M. E. J.|last2=Strogatz|first2=S. H.|last3=Watts|first3=D. J.|date=2001-07-24|title=Random graphs with arbitrary degree distributions and their applications|url=https://link.aps.org/doi/10.1103/PhysRevE.64.026118|journal=Physical Review E|language=en|volume=64|issue=2|pages=026118|doi=10.1103/PhysRevE.64.026118|issn=1063-651X|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors is: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
生成函数可以用来计算随机网络的不同性质。给定某些网络的度分布和超度分布，&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以以下列形式写出两个幂级数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; 的值也可得出通过 &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;的导数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
如果我们知道生成函数的一个概率分布，然后我们就得到&amp;lt;math&amp;gt;P(k)&amp;lt;/math&amp;gt;的值通过鉴别：&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一些性质，例如，时刻性。然后，可以很容易地进行计算依据&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和它的导数:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一般来说:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
对于泊松分布的随机网络，如 ER 图，&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;这就是为什么这种类型的随机网络理论特别简单的原因。第一和第二近邻的概率分布是由函数&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;G0(G1(x))&amp;lt;/math&amp;gt;生成的。进一步扩展，&amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th的邻居的分布是由以下几个因素产生的:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, 以&amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 迭代到 &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 函数本身。第一个邻居的平均数量&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; 第二个邻居的平均数量是:&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Degree distribution for directed networks ==&lt;br /&gt;
有向网络的度分布&lt;br /&gt;
&lt;br /&gt;
[[File:Enwiki-degree-distribution.png|thumb|right|320px|&lt;br /&gt;
图1：In/out degree distribution for Wikipedia's hyperlink graph (logarithmic scales) 维基百科超链接图(对数尺度)的入/出度分布]]&lt;br /&gt;
&lt;br /&gt;
In a directed network, each node has some in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and some out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; which are the number of links which have run into and out of that node respectfully. If &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; is the probability that a randomly chosen node has in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; then the generating function assigned to this [[joint probability distribution]] can be written with two valuables &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; as:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
在有向网络中，每个节点都有一些入度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; 和一些出度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt;分别指代的是指向该节点的边的数量和从该节点指出的边的数量。如果 &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; 是一个随机选择的具有入出度的节点的可能性。那么分配给这个生成函数的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合概率分布  Joint Probability Distribution&amp;lt;/font&amp;gt;'''可以被写成两个变量 &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Since every link in a directed network must leave some node and enter another, the net average number of links entering&lt;br /&gt;
&lt;br /&gt;
a node is zero. Therefore, &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
which implies that, the generation function must satisfy:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean degree (both in and out) of the nodes in the network; &amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
由于有向网络中的每个链路必须离开某个节点并进入另一个节点，因此进入一个节点的链路的净平均数是零。所以,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这意味着，生成函数必须满足:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt;是网络中节点的平均度(内部和外部)&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Using the function &amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;, we can again find the generation function for the in/out-degree distribution and in/out-excess degree distribution, as before. &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; can be defined as generating functions for the number of arriving links at a randomly chosen node, and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;can be defined as the number of arriving links at a node reached by following a randomly chosen link. We can also define generating functions &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; for the number leaving such a node:&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
使用函数&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;如前所述，我们可以再次找到入/出度分布和入/出超量度分布的生成函数。可以将&amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;定义为一个随机选择的节点上到达的链接数的生成函数，以及 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以定义为按照随机选择的链接到达一个节点的到达链接数。我们也可以定义生成函数 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt;表示离开节点的边的数量:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here, the average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;, or as previously introduced as &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors reachable from a randomly chosen node is given by: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. These are also the numbers of 1st and 2nd neighbors from which a random node can be reached, since these equations are manifestly symmetric in &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这里，第一个邻居的平均数量math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;，或者像之前表示的&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;从一个随机选择的节点上可达到的第二邻居的平均数是&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. 这些是从随机选择的节点所达到第一和第二邻居的数量，因为这些方程显然是在&amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt;和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;上对称的。&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Graph theory]]&lt;br /&gt;
图论&lt;br /&gt;
* [[Complex network]]&lt;br /&gt;
复杂网络&lt;br /&gt;
* [[Scale-free network]]&lt;br /&gt;
无标度网络&lt;br /&gt;
* [[Random graph]]&lt;br /&gt;
随机网络&lt;br /&gt;
* [[Structural cut-off]]&lt;br /&gt;
结构截止值&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
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&lt;br /&gt;
  | journal = Advances in Physics&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
| 杂志 = 物理进展&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
51&lt;br /&gt;
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2002年&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
10.1080/00018730110112519&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
第四期&lt;br /&gt;
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2002/adphy. . 51.1079 d }&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
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| first = m.E.j.&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
| title = 复杂网络的结构和功能&lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
| journal = SIAM Review&lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
45&lt;br /&gt;
&lt;br /&gt;
 |pages=167–256 &lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
| 页 = 167-256&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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 |doi=10.1137/S003614450342480 &lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
| doi = 10.1137/S003614450342480&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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2&lt;br /&gt;
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 |arxiv=cond-mat/0303516 &lt;br /&gt;
&lt;br /&gt;
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* {{cite book &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
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复杂网络: 结构、健壮性和功能&lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
作者: Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
| 作者链接 = Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
   &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
2 = Reuven Cohen | last-author-amp = yes&lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
2010年&lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
Http://havlin.biu.ac.il/shlomo%20havlin%20books_com_net.php&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
剑桥大学出版社&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph theory&lt;br /&gt;
&lt;br /&gt;
范畴: 图论&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph invariants]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph invariants&lt;br /&gt;
&lt;br /&gt;
类别: 图形不变量&lt;br /&gt;
&lt;br /&gt;
[[Category:Network theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Network theory&lt;br /&gt;
&lt;br /&gt;
范畴: 网络理论&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Degree distribution]]. Its edit history can be viewed at [[度分布/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12747</id>
		<title>度分布</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12747"/>
		<updated>2020-08-16T13:18:44Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Observed degree distributions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;本词条由Ryan初步翻译&lt;br /&gt;
&lt;br /&gt;
{{Network Science}}&lt;br /&gt;
&lt;br /&gt;
In the study of [[Graph (discrete mathematics)|graphs]] and [[complex network|networks]], the [[degree (graph theory)|degree]] of a node in a network is the number of connections it has to other nodes and the '''degree distribution''' is the [[probability distribution]] of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
In the study of graphs and networks, the degree of a node in a network is the number of connections it has to other nodes and the degree distribution is the probability distribution of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;图 Graphs&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;网络 Networks&amp;lt;/font&amp;gt;'''的研究中，网络中节点的度是它与其他节点的连接数，而度的分布就是整个网络中这些度的概率分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Definition==&lt;br /&gt;
定义&lt;br /&gt;
&lt;br /&gt;
The [[degree (graph theory)|degree]] of a node in a network (sometimes referred to incorrectly as the [[Connectivity (graph theory)|connectivity]]) is the number of connections or [[Edge (graph theory)#Graph|edges]] the node has to other nodes. If a network is [[directed graph|directed]], meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes. If a network is directed, meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
网络中一个节点的度(有时会被错误地指代为连通性)是该节点与其他节点的连接或边的数量。如果一个网络是有向的，这意味着边沿着一个方向从一个节点指向另一个节点。那么节点们就会有两个不同的度，一个度表示传入边的数量，另一个度表示传出边的数量。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The degree distribution ''P''(''k'') of a network is then defined to be the fraction of nodes in the network with degree ''k''.  Thus if there are ''n'' nodes in total in a network and ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt; of them have degree ''k'', we have ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''.&lt;br /&gt;
&lt;br /&gt;
The degree distribution P(k) of a network is then defined to be the fraction of nodes in the network with degree k.  Thus if there are n nodes in total in a network and n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; of them have degree k, we have P(k) = n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;/n.&lt;br /&gt;
&lt;br /&gt;
将网络的度分布''P''(''k'')定义为网络中度值为''k''的所有节点与总节点数量的分数比值，如果一个网络中有''n''个节点，且其中''n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;''个节点的度值为''k''，则 ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a ''cumulative degree distribution'', the fraction of nodes with degree smaller than ''k'', or even the ''complementary cumulative degree distribution'', the fraction of nodes with degree greater than or equal to ''k'' (1 - ''C'') if one considers ''C'' as the ''cumulative degree distribution'';  i.e. the complement of ''C''.&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a cumulative degree distribution, the fraction of nodes with degree smaller than k, or even the complementary cumulative degree distribution, the fraction of nodes with degree greater than or equal to k (1 - C) if one considers C as the cumulative degree distribution;  i.e. the complement of C.&lt;br /&gt;
&lt;br /&gt;
同样的信息有时也以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;累积度分布函数 Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（随机选择一个节点，其度值小于k的概率）的形式表示，或是用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;互补累积度分布函数 Complementary Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（如果把''C''看作累积度分布，该函数则为度大于或等于''k'' (1 - ''C'')的节点比例）的形式表示，与积累度分布互补。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Observed degree distributions ==&lt;br /&gt;
观察度分布&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the [[Internet]] and [[social networks]], and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) [[random graph]], in which each of ''n'' nodes is independently connected (or not) with probability ''p'' (or 1 − ''p''), has a [[binomial distribution]] of degrees ''k'':&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:&lt;br /&gt;
&lt;br /&gt;
度分布在研究真实网络(如互联网和社会网络)和理论网络中都非常重要。最简单的网络模型，例如(Erdős–Rényi 模型)'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;随机图 Random Graph&amp;lt;/font&amp;gt;'''，其中每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，它的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;二项分布 Binomial Distribution&amp;lt;/font&amp;gt;'''的度值为''k'':&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = {n-1\choose k} p^k (1 - p)^{n-1-k},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or [[Poisson distribution|Poisson]] in the limit of large ''n'', if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly [[Skewness|right-skewed]], meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the [[world wide web]], and some social networks were argued to have degree distributions that approximately follow a [[power law]]: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or Poisson in the limit of large n, if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly right-skewed, meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the world wide web, and some social networks were argued to have degree distributions that approximately follow a power law: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(如果平均度\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt;保持不变，也会出现有限节点的泊松分布)。然而，现实世界中的大多数网络的度分布与上述分布非常不同。大多数节点是高度右倾的，这意味着大多数节点的度值较低，但少数节点，即所谓的“枢纽” ，度值较高。一些网络，特别是互联网、万维网和一些社交网络，被认为具有近似遵循幂定律的幂律分布:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)\sim k^{-\gamma}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where ''γ'' is a constant. Such networks are called [[scale-free networks]] and have attracted particular attention for their structural and dynamical properties&amp;lt;ref name=&amp;quot;BA&amp;quot;&amp;gt;{{cite journal | last=Barabási | first=Albert-László | last2=Albert | first2=Réka | title=Emergence of Scaling in Random Networks | journal=Science | volume=286 | issue=5439 | date=1999-10-15 | issn=0036-8075 | doi=10.1126/science.286.5439.509 | pages=509–512| pmid=10521342 | arxiv=cond-mat/9910332 | bibcode=1999Sci...286..509B }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;AB&amp;quot;&amp;gt;{{cite journal | last=Albert | first=Réka | last2=Barabási | first2=Albert-László | title=Topology of Evolving Networks: Local Events and Universality | journal=Physical Review Letters | volume=85 | issue=24 | date=2000-12-11 | issn=0031-9007 | doi=10.1103/physrevlett.85.5234 | pages=5234–5237| pmid=11102229 | arxiv=cond-mat/0005085 | bibcode=2000PhRvL..85.5234A | hdl=2047/d20000695 | url=https://repository.library.northeastern.edu/files/neu:331099/fulltext.pdf }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Doro&amp;quot;&amp;gt;{{cite journal | last=Dorogovtsev | first=S. N. | last2=Mendes | first2=J. F. F. | last3=Samukhin | first3=A. N. | title=Size-dependent degree distribution of a scale-free growing network | journal=Physical Review E | volume=63 | issue=6 | date=2001-05-21 | issn=1063-651X | doi=10.1103/physreve.63.062101 | page=062101| pmid=11415146 |arxiv=cond-mat/0011115| bibcode=2001PhRvE..63f2101D }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;PSY&amp;quot;&amp;gt;{{cite journal|title=Scale-free behavior of networks with the copresence of preferential and uniform attachment rules|journal=Physica D: Nonlinear Phenomena|year=2018|first=Angelica |last=Pachon |first2=Laura |last2=Sacerdote |first3=Shuyi |last3=Yang |volume=371|pages=1–12|doi=10.1016/j.physd.2018.01.005|arxiv=1704.08597|bibcode=2018PhyD..371....1P}}&amp;lt;/ref&amp;gt;. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have [[Fat-tailed distribution|fat-tailed degree distributions]], they deviate from being [[Scale-free network|scale-free]].&amp;lt;ref&amp;gt;{{Cite journal|last=Holme|first=Petter|date=2019-03-04|title=Rare and everywhere: Perspectives on scale-free networks|journal=Nature Communications|language=en|volume=10|issue=1|pages=1016|doi=10.1038/s41467-019-09038-8|issn=2041-1723|pmc=6399274|pmid=30833568|bibcode=2019NatCo..10.1016H}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
&lt;br /&gt;
where γ is a constant. Such networks are called scale-free networks and have attracted particular attention for their structural and dynamical properties. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have fat-tailed degree distributions, they deviate from being scale-free. &lt;br /&gt;
&lt;br /&gt;
γ是一个常数。这种网络被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;无标度网络 Scale-Free Networks&amp;lt;/font&amp;gt;'''，因其结构和动力学性质而引起人们的特别关注。然而，最近有一些基于真实数据的研究表明，尽管大多数观测到的网络具有'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;肥尾度分布 Fat-Tailed Degree Distributions&amp;lt;/font&amp;gt;'''，但它们无标度分布的特点并不明显。&lt;br /&gt;
&lt;br /&gt;
== Excess degree distribution ==&lt;br /&gt;
超额度分布&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite book|last=Newman|first=Mark|url=http://www.oxfordscholarship.com/view/10.1093/oso/9780198805090.001.0001/oso-9780198805090|title=Networks|date=2018-10-18|publisher=Oxford University Press|isbn=978-0-19-880509-0|volume=1|language=en|doi=10.1093/oso/9780198805090.001.0001}}&amp;lt;/ref&amp;gt; In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node. In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
超额度分布是通过跟随一条边到达该节点的其他边的数量的概率分布。换句话说，它是通过跟随一个链接从一个节点到达的其传出链接的分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Suppose a network has a degree distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;, by selecting one node (randomly or not) and going to one of its neighbors (assuming to have one neighbor at least), then the probability of that node to have &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; neighbors is not given by &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;. The reason is that, whenever some node is selected in a heterogeneous network, it is more probable to reach the hobs by following one of the existing neighbors of that node. The true probability of such nodes to have degree &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; is &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; which is called the ''excess degree'' of that node. In the [[configuration model]], which correlations between the nodes have been ignored and every node is assumed to be connected to any other nodes in the network with the same probability, the excess degree distribution can be found as&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
假设一个网络具有度分布&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;,通过选择一个节点(随机或非随机)跟踪它的一个邻居(假设至少有一个邻居) ，那么该节点具有&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; 个邻居的概率不是由&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;.给出的原因在于，无论何时在异质网络中选择某个节点，它都更有可能通过跟随该节点的某个现有邻居到达枢纽节点。这些节点具有度&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt;的真实概率是&amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;，它被称为该节点的超额度。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;配置模型 Configuration Model&amp;lt;/font&amp;gt;'''中，忽略节点之间的相关性，并假定每个节点以相同的概率连接到网络中的其他任何节点，超额度分布表示为:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the [[friendship paradox]]. It can be shown that a network can have a [[giant component]], if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the friendship paradox. It can be shown that a network can have a giant component, if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
这里&amp;lt;math&amp;gt;{\langle k \rangle}&amp;lt;/math &amp;gt; 是模型的平均度。由此可知，任何节点的邻居的平均度大于该节点的平均度。在社交网络中，这意味着你的朋友平均比你拥有更多的朋友。这就是著名的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;友谊悖论 Friendship Paradox&amp;lt;/font&amp;gt;'''。可以证明，如果一个网络的平均超额度大于1，那么它可以有一个巨大的联通子网络:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\sum_k kq(k) &amp;gt; 1 \Rightarrow  {\langle k^2 \rangle}-2{\langle k \rangle}&amp;gt;0 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the [[configuration model]] and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the configuration model and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&lt;br /&gt;
&lt;br /&gt;
记住，最后两个方程只适用于配置模型，要推导出实词网络的超额度分布，还应考虑度相关性。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== The Generating Functions Method ==&lt;br /&gt;
生成函数方法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Probability-generating function|Generating functions]] can be used to calculate different properties of random networks. Given the degree distribution and the excess degree distribution of some network, &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; respectively, it is possible to write two power series in the following forms:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; can also be obtained from derivatives of &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If we know the generating function for a probability distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; then we can recover the values of &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; by differentiating:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Some properties, e.g. the moments, can be easily calculated from &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and its derivatives:&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
And in general&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For [[Poisson distribution|Poisson]]-distributed random networks, such as the [[Erdős–Rényi model|ER graph]], &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;, that is the reason why the theory of random networks of this type is especially simple. The probability distributions for the 1st and 2nd-nearest neighbors are generated by the functions &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(G_1(x)) &lt;br /&gt;
&amp;lt;/math&amp;gt;. By extension, the distribution of &amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th neighbors is generated by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, with &amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; iterations of the function &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; acting on itself.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last=Newman|first=M. E. J.|last2=Strogatz|first2=S. H.|last3=Watts|first3=D. J.|date=2001-07-24|title=Random graphs with arbitrary degree distributions and their applications|url=https://link.aps.org/doi/10.1103/PhysRevE.64.026118|journal=Physical Review E|language=en|volume=64|issue=2|pages=026118|doi=10.1103/PhysRevE.64.026118|issn=1063-651X|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors is: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
生成函数可以用来计算随机网络的不同性质。给定某些网络的度分布和超度分布，&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以以下列形式写出两个幂级数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; 的值也可得出通过 &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;的导数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
如果我们知道生成函数的一个概率分布，然后我们就得到&amp;lt;math&amp;gt;P(k)&amp;lt;/math&amp;gt;的值通过鉴别：&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一些性质，例如，时刻性。然后，可以很容易地进行计算依据&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和它的导数:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一般来说:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
对于泊松分布的随机网络，如 ER 图，&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;这就是为什么这种类型的随机网络理论特别简单的原因。第一和第二近邻的概率分布是由函数&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;G0(G1(x))&amp;lt;/math&amp;gt;生成的。进一步扩展，&amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th的邻居的分布是由以下几个因素产生的:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, 以&amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 迭代到 &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 函数本身。第一个邻居的平均数量&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; 第二个邻居的平均数量是:&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Degree distribution for directed networks ==&lt;br /&gt;
有向网络的度分布&lt;br /&gt;
&lt;br /&gt;
[[File:Enwiki-degree-distribution.png|thumb|right|320px|&lt;br /&gt;
图1：In/out degree distribution for Wikipedia's hyperlink graph (logarithmic scales) 维基百科超链接图(对数尺度)的入/出度分布]]&lt;br /&gt;
&lt;br /&gt;
In a directed network, each node has some in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and some out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; which are the number of links which have run into and out of that node respectfully. If &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; is the probability that a randomly chosen node has in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; then the generating function assigned to this [[joint probability distribution]] can be written with two valuables &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; as:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
在有向网络中，每个节点都有一些入度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; 和一些出度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt;分别指代的是指向该节点的边的数量和从该节点指出的边的数量。如果 &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; 是一个随机选择的具有入出度的节点的可能性。那么分配给这个生成函数的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合概率分布  Joint Probability Distribution&amp;lt;/font&amp;gt;'''可以被写成两个变量 &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Since every link in a directed network must leave some node and enter another, the net average number of links entering&lt;br /&gt;
&lt;br /&gt;
a node is zero. Therefore, &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
which implies that, the generation function must satisfy:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean degree (both in and out) of the nodes in the network; &amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
由于有向网络中的每个链路必须离开某个节点并进入另一个节点，因此进入一个节点的链路的净平均数是零。所以,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这意味着，生成函数必须满足:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt;是网络中节点的平均度(内部和外部)&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Using the function &amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;, we can again find the generation function for the in/out-degree distribution and in/out-excess degree distribution, as before. &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; can be defined as generating functions for the number of arriving links at a randomly chosen node, and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;can be defined as the number of arriving links at a node reached by following a randomly chosen link. We can also define generating functions &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; for the number leaving such a node:&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
使用函数&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;如前所述，我们可以再次找到入/出度分布和入/出超量度分布的生成函数。可以将&amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;定义为一个随机选择的节点上到达的链接数的生成函数，以及 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以定义为按照随机选择的链接到达一个节点的到达链接数。我们也可以定义生成函数 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt;表示离开节点的边的数量:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here, the average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;, or as previously introduced as &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors reachable from a randomly chosen node is given by: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. These are also the numbers of 1st and 2nd neighbors from which a random node can be reached, since these equations are manifestly symmetric in &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这里，第一个邻居的平均数量math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;，或者像之前表示的&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;从一个随机选择的节点上可达到的第二邻居的平均数是&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. 这些是从随机选择的节点所达到第一和第二邻居的数量，因为这些方程显然是在&amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt;和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;上对称的。&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Graph theory]]&lt;br /&gt;
图理论&lt;br /&gt;
* [[Complex network]]&lt;br /&gt;
复杂网络&lt;br /&gt;
* [[Scale-free network]]&lt;br /&gt;
无标度网络&lt;br /&gt;
* [[Random graph]]&lt;br /&gt;
随机网络&lt;br /&gt;
* [[Structural cut-off]]&lt;br /&gt;
结构截止值&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
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&lt;br /&gt;
| doi = 10.1137/S003614450342480&lt;br /&gt;
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 |issue=2 &lt;br /&gt;
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 |issue=2 &lt;br /&gt;
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2&lt;br /&gt;
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 |arxiv=cond-mat/0303516 &lt;br /&gt;
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 |arxiv=cond-mat/0303516 &lt;br /&gt;
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 |arxiv=cond-mat/0303516&lt;br /&gt;
&lt;br /&gt;
 |bibcode=2003SIAMR..45..167N &lt;br /&gt;
&lt;br /&gt;
 |bibcode=2003SIAMR..45..167N &lt;br /&gt;
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| bibcode = 2003siaml. . 45. . 167 n&lt;br /&gt;
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}}&lt;br /&gt;
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}}&lt;br /&gt;
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}}&lt;br /&gt;
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* {{cite book &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
复杂网络: 结构、健壮性和功能&lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
作者: Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
| 作者链接 = Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
   &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
2 = Reuven Cohen | last-author-amp = yes&lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
2010年&lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
Http://havlin.biu.ac.il/shlomo%20havlin%20books_com_net.php&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
剑桥大学出版社&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
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}}&lt;br /&gt;
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}}&lt;br /&gt;
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[[Category:Graph theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph theory&lt;br /&gt;
&lt;br /&gt;
范畴: 图论&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph invariants]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph invariants&lt;br /&gt;
&lt;br /&gt;
类别: 图形不变量&lt;br /&gt;
&lt;br /&gt;
[[Category:Network theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Network theory&lt;br /&gt;
&lt;br /&gt;
范畴: 网络理论&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Degree distribution]]. Its edit history can be viewed at [[度分布/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12746</id>
		<title>度分布</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12746"/>
		<updated>2020-08-16T13:18:36Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Observed degree distributions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;本词条由Ryan初步翻译&lt;br /&gt;
&lt;br /&gt;
{{Network Science}}&lt;br /&gt;
&lt;br /&gt;
In the study of [[Graph (discrete mathematics)|graphs]] and [[complex network|networks]], the [[degree (graph theory)|degree]] of a node in a network is the number of connections it has to other nodes and the '''degree distribution''' is the [[probability distribution]] of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
In the study of graphs and networks, the degree of a node in a network is the number of connections it has to other nodes and the degree distribution is the probability distribution of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;图 Graphs&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;网络 Networks&amp;lt;/font&amp;gt;'''的研究中，网络中节点的度是它与其他节点的连接数，而度的分布就是整个网络中这些度的概率分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Definition==&lt;br /&gt;
定义&lt;br /&gt;
&lt;br /&gt;
The [[degree (graph theory)|degree]] of a node in a network (sometimes referred to incorrectly as the [[Connectivity (graph theory)|connectivity]]) is the number of connections or [[Edge (graph theory)#Graph|edges]] the node has to other nodes. If a network is [[directed graph|directed]], meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes. If a network is directed, meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
网络中一个节点的度(有时会被错误地指代为连通性)是该节点与其他节点的连接或边的数量。如果一个网络是有向的，这意味着边沿着一个方向从一个节点指向另一个节点。那么节点们就会有两个不同的度，一个度表示传入边的数量，另一个度表示传出边的数量。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The degree distribution ''P''(''k'') of a network is then defined to be the fraction of nodes in the network with degree ''k''.  Thus if there are ''n'' nodes in total in a network and ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt; of them have degree ''k'', we have ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''.&lt;br /&gt;
&lt;br /&gt;
The degree distribution P(k) of a network is then defined to be the fraction of nodes in the network with degree k.  Thus if there are n nodes in total in a network and n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; of them have degree k, we have P(k) = n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;/n.&lt;br /&gt;
&lt;br /&gt;
将网络的度分布''P''(''k'')定义为网络中度值为''k''的所有节点与总节点数量的分数比值，如果一个网络中有''n''个节点，且其中''n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;''个节点的度值为''k''，则 ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a ''cumulative degree distribution'', the fraction of nodes with degree smaller than ''k'', or even the ''complementary cumulative degree distribution'', the fraction of nodes with degree greater than or equal to ''k'' (1 - ''C'') if one considers ''C'' as the ''cumulative degree distribution'';  i.e. the complement of ''C''.&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a cumulative degree distribution, the fraction of nodes with degree smaller than k, or even the complementary cumulative degree distribution, the fraction of nodes with degree greater than or equal to k (1 - C) if one considers C as the cumulative degree distribution;  i.e. the complement of C.&lt;br /&gt;
&lt;br /&gt;
同样的信息有时也以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;累积度分布函数 Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（随机选择一个节点，其度值小于k的概率）的形式表示，或是用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;互补累积度分布函数 Complementary Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（如果把''C''看作累积度分布，该函数则为度大于或等于''k'' (1 - ''C'')的节点比例）的形式表示，与积累度分布互补。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Observed degree distributions ==&lt;br /&gt;
观察度分布&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the [[Internet]] and [[social networks]], and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) [[random graph]], in which each of ''n'' nodes is independently connected (or not) with probability ''p'' (or 1 − ''p''), has a [[binomial distribution]] of degrees ''k'':&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:&lt;br /&gt;
&lt;br /&gt;
度分布在研究真实网络(如互联网和社会网络)和理论网络中都非常重要。最简单的网络模型，例如(Erdős–Rényi 模型)'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;随机图 Random Graph&amp;lt;/font&amp;gt;'''，其中每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，它的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;二项分布 Binomial Distribution&amp;lt;/font&amp;gt;'''的度值为''k'':&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = {n-1\choose k} p^k (1 - p)^{n-1-k},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or [[Poisson distribution|Poisson]] in the limit of large ''n'', if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly [[Skewness|right-skewed]], meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the [[world wide web]], and some social networks were argued to have degree distributions that approximately follow a [[power law]]: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or Poisson in the limit of large n, if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly right-skewed, meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the world wide web, and some social networks were argued to have degree distributions that approximately follow a power law: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(如果平均度\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt;保持不变，也会出现有限节点的泊松分布)。然而，现实世界中的大多数网络的度分布与上述分布非常不同。大多数节点是高度右倾的，这意味着大多数节点的度值较低，但少数节点，即所谓的“枢纽” ，度值较高。一些网络，特别是互联网、万维网和一些社交网络，被认为具有近似遵循幂定律的幂律分布:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)\sim k^{-\gamma}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 where ''γ'' is a constant. Such networks are called [[scale-free networks]] and have attracted particular attention for their structural and dynamical properties&amp;lt;ref name=&amp;quot;BA&amp;quot;&amp;gt;{{cite journal | last=Barabási | first=Albert-László | last2=Albert | first2=Réka | title=Emergence of Scaling in Random Networks | journal=Science | volume=286 | issue=5439 | date=1999-10-15 | issn=0036-8075 | doi=10.1126/science.286.5439.509 | pages=509–512| pmid=10521342 | arxiv=cond-mat/9910332 | bibcode=1999Sci...286..509B }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;AB&amp;quot;&amp;gt;{{cite journal | last=Albert | first=Réka | last2=Barabási | first2=Albert-László | title=Topology of Evolving Networks: Local Events and Universality | journal=Physical Review Letters | volume=85 | issue=24 | date=2000-12-11 | issn=0031-9007 | doi=10.1103/physrevlett.85.5234 | pages=5234–5237| pmid=11102229 | arxiv=cond-mat/0005085 | bibcode=2000PhRvL..85.5234A | hdl=2047/d20000695 | url=https://repository.library.northeastern.edu/files/neu:331099/fulltext.pdf }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Doro&amp;quot;&amp;gt;{{cite journal | last=Dorogovtsev | first=S. N. | last2=Mendes | first2=J. F. F. | last3=Samukhin | first3=A. N. | title=Size-dependent degree distribution of a scale-free growing network | journal=Physical Review E | volume=63 | issue=6 | date=2001-05-21 | issn=1063-651X | doi=10.1103/physreve.63.062101 | page=062101| pmid=11415146 |arxiv=cond-mat/0011115| bibcode=2001PhRvE..63f2101D }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;PSY&amp;quot;&amp;gt;{{cite journal|title=Scale-free behavior of networks with the copresence of preferential and uniform attachment rules|journal=Physica D: Nonlinear Phenomena|year=2018|first=Angelica |last=Pachon |first2=Laura |last2=Sacerdote |first3=Shuyi |last3=Yang |volume=371|pages=1–12|doi=10.1016/j.physd.2018.01.005|arxiv=1704.08597|bibcode=2018PhyD..371....1P}}&amp;lt;/ref&amp;gt;. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have [[Fat-tailed distribution|fat-tailed degree distributions]], they deviate from being [[Scale-free network|scale-free]].&amp;lt;ref&amp;gt;{{Cite journal|last=Holme|first=Petter|date=2019-03-04|title=Rare and everywhere: Perspectives on scale-free networks|journal=Nature Communications|language=en|volume=10|issue=1|pages=1016|doi=10.1038/s41467-019-09038-8|issn=2041-1723|pmc=6399274|pmid=30833568|bibcode=2019NatCo..10.1016H}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
&lt;br /&gt;
where γ is a constant. Such networks are called scale-free networks and have attracted particular attention for their structural and dynamical properties. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have fat-tailed degree distributions, they deviate from being scale-free. &lt;br /&gt;
&lt;br /&gt;
γ是一个常数。这种网络被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;无标度网络 Scale-Free Networks&amp;lt;/font&amp;gt;'''，因其结构和动力学性质而引起人们的特别关注。然而，最近有一些基于真实数据的研究表明，尽管大多数观测到的网络具有'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;肥尾度分布 Fat-Tailed Degree Distributions&amp;lt;/font&amp;gt;'''，但它们无标度分布的特点并不明显。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Excess degree distribution ==&lt;br /&gt;
超额度分布&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite book|last=Newman|first=Mark|url=http://www.oxfordscholarship.com/view/10.1093/oso/9780198805090.001.0001/oso-9780198805090|title=Networks|date=2018-10-18|publisher=Oxford University Press|isbn=978-0-19-880509-0|volume=1|language=en|doi=10.1093/oso/9780198805090.001.0001}}&amp;lt;/ref&amp;gt; In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node. In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
超额度分布是通过跟随一条边到达该节点的其他边的数量的概率分布。换句话说，它是通过跟随一个链接从一个节点到达的其传出链接的分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Suppose a network has a degree distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;, by selecting one node (randomly or not) and going to one of its neighbors (assuming to have one neighbor at least), then the probability of that node to have &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; neighbors is not given by &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;. The reason is that, whenever some node is selected in a heterogeneous network, it is more probable to reach the hobs by following one of the existing neighbors of that node. The true probability of such nodes to have degree &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; is &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; which is called the ''excess degree'' of that node. In the [[configuration model]], which correlations between the nodes have been ignored and every node is assumed to be connected to any other nodes in the network with the same probability, the excess degree distribution can be found as&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
假设一个网络具有度分布&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;,通过选择一个节点(随机或非随机)跟踪它的一个邻居(假设至少有一个邻居) ，那么该节点具有&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; 个邻居的概率不是由&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;.给出的原因在于，无论何时在异质网络中选择某个节点，它都更有可能通过跟随该节点的某个现有邻居到达枢纽节点。这些节点具有度&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt;的真实概率是&amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;，它被称为该节点的超额度。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;配置模型 Configuration Model&amp;lt;/font&amp;gt;'''中，忽略节点之间的相关性，并假定每个节点以相同的概率连接到网络中的其他任何节点，超额度分布表示为:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the [[friendship paradox]]. It can be shown that a network can have a [[giant component]], if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the friendship paradox. It can be shown that a network can have a giant component, if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
这里&amp;lt;math&amp;gt;{\langle k \rangle}&amp;lt;/math &amp;gt; 是模型的平均度。由此可知，任何节点的邻居的平均度大于该节点的平均度。在社交网络中，这意味着你的朋友平均比你拥有更多的朋友。这就是著名的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;友谊悖论 Friendship Paradox&amp;lt;/font&amp;gt;'''。可以证明，如果一个网络的平均超额度大于1，那么它可以有一个巨大的联通子网络:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\sum_k kq(k) &amp;gt; 1 \Rightarrow  {\langle k^2 \rangle}-2{\langle k \rangle}&amp;gt;0 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the [[configuration model]] and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the configuration model and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&lt;br /&gt;
&lt;br /&gt;
记住，最后两个方程只适用于配置模型，要推导出实词网络的超额度分布，还应考虑度相关性。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== The Generating Functions Method ==&lt;br /&gt;
生成函数方法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Probability-generating function|Generating functions]] can be used to calculate different properties of random networks. Given the degree distribution and the excess degree distribution of some network, &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; respectively, it is possible to write two power series in the following forms:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; can also be obtained from derivatives of &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If we know the generating function for a probability distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; then we can recover the values of &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; by differentiating:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Some properties, e.g. the moments, can be easily calculated from &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and its derivatives:&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
And in general&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For [[Poisson distribution|Poisson]]-distributed random networks, such as the [[Erdős–Rényi model|ER graph]], &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;, that is the reason why the theory of random networks of this type is especially simple. The probability distributions for the 1st and 2nd-nearest neighbors are generated by the functions &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(G_1(x)) &lt;br /&gt;
&amp;lt;/math&amp;gt;. By extension, the distribution of &amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th neighbors is generated by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, with &amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; iterations of the function &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; acting on itself.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last=Newman|first=M. E. J.|last2=Strogatz|first2=S. H.|last3=Watts|first3=D. J.|date=2001-07-24|title=Random graphs with arbitrary degree distributions and their applications|url=https://link.aps.org/doi/10.1103/PhysRevE.64.026118|journal=Physical Review E|language=en|volume=64|issue=2|pages=026118|doi=10.1103/PhysRevE.64.026118|issn=1063-651X|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors is: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
生成函数可以用来计算随机网络的不同性质。给定某些网络的度分布和超度分布，&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以以下列形式写出两个幂级数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; 的值也可得出通过 &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;的导数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
如果我们知道生成函数的一个概率分布，然后我们就得到&amp;lt;math&amp;gt;P(k)&amp;lt;/math&amp;gt;的值通过鉴别：&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一些性质，例如，时刻性。然后，可以很容易地进行计算依据&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和它的导数:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一般来说:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
对于泊松分布的随机网络，如 ER 图，&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;这就是为什么这种类型的随机网络理论特别简单的原因。第一和第二近邻的概率分布是由函数&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;G0(G1(x))&amp;lt;/math&amp;gt;生成的。进一步扩展，&amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th的邻居的分布是由以下几个因素产生的:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, 以&amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 迭代到 &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 函数本身。第一个邻居的平均数量&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; 第二个邻居的平均数量是:&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Degree distribution for directed networks ==&lt;br /&gt;
有向网络的度分布&lt;br /&gt;
&lt;br /&gt;
[[File:Enwiki-degree-distribution.png|thumb|right|320px|&lt;br /&gt;
图1：In/out degree distribution for Wikipedia's hyperlink graph (logarithmic scales) 维基百科超链接图(对数尺度)的入/出度分布]]&lt;br /&gt;
&lt;br /&gt;
In a directed network, each node has some in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and some out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; which are the number of links which have run into and out of that node respectfully. If &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; is the probability that a randomly chosen node has in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; then the generating function assigned to this [[joint probability distribution]] can be written with two valuables &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; as:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
在有向网络中，每个节点都有一些入度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; 和一些出度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt;分别指代的是指向该节点的边的数量和从该节点指出的边的数量。如果 &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; 是一个随机选择的具有入出度的节点的可能性。那么分配给这个生成函数的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合概率分布  Joint Probability Distribution&amp;lt;/font&amp;gt;'''可以被写成两个变量 &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Since every link in a directed network must leave some node and enter another, the net average number of links entering&lt;br /&gt;
&lt;br /&gt;
a node is zero. Therefore, &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
which implies that, the generation function must satisfy:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean degree (both in and out) of the nodes in the network; &amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
由于有向网络中的每个链路必须离开某个节点并进入另一个节点，因此进入一个节点的链路的净平均数是零。所以,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这意味着，生成函数必须满足:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt;是网络中节点的平均度(内部和外部)&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Using the function &amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;, we can again find the generation function for the in/out-degree distribution and in/out-excess degree distribution, as before. &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; can be defined as generating functions for the number of arriving links at a randomly chosen node, and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;can be defined as the number of arriving links at a node reached by following a randomly chosen link. We can also define generating functions &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; for the number leaving such a node:&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
使用函数&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;如前所述，我们可以再次找到入/出度分布和入/出超量度分布的生成函数。可以将&amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;定义为一个随机选择的节点上到达的链接数的生成函数，以及 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以定义为按照随机选择的链接到达一个节点的到达链接数。我们也可以定义生成函数 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt;表示离开节点的边的数量:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here, the average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;, or as previously introduced as &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors reachable from a randomly chosen node is given by: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. These are also the numbers of 1st and 2nd neighbors from which a random node can be reached, since these equations are manifestly symmetric in &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这里，第一个邻居的平均数量math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;，或者像之前表示的&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;从一个随机选择的节点上可达到的第二邻居的平均数是&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. 这些是从随机选择的节点所达到第一和第二邻居的数量，因为这些方程显然是在&amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt;和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;上对称的。&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Graph theory]]&lt;br /&gt;
图理论&lt;br /&gt;
* [[Complex network]]&lt;br /&gt;
复杂网络&lt;br /&gt;
* [[Scale-free network]]&lt;br /&gt;
无标度网络&lt;br /&gt;
* [[Random graph]]&lt;br /&gt;
随机网络&lt;br /&gt;
* [[Structural cut-off]]&lt;br /&gt;
结构截止值&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
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* {{cite journal&lt;br /&gt;
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  | title = Evolution of networks&lt;br /&gt;
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  | title = Evolution of networks&lt;br /&gt;
&lt;br /&gt;
| title = 网络的进化&lt;br /&gt;
&lt;br /&gt;
  | journal = Advances in Physics&lt;br /&gt;
&lt;br /&gt;
  | journal = Advances in Physics&lt;br /&gt;
&lt;br /&gt;
| 杂志 = 物理进展&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
51&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
2002年&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
10.1080/00018730110112519&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
第四期&lt;br /&gt;
&lt;br /&gt;
|bibcode = 2002AdPhy..51.1079D }}&lt;br /&gt;
&lt;br /&gt;
|bibcode = 2002AdPhy..51.1079D }}&lt;br /&gt;
&lt;br /&gt;
2002/adphy. . 51.1079 d }&lt;br /&gt;
&lt;br /&gt;
* {{cite journal&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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&lt;br /&gt;
纽曼&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
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| first = m.E.j.&lt;br /&gt;
&lt;br /&gt;
 |title=The structure and function of complex networks &lt;br /&gt;
&lt;br /&gt;
 |title=The structure and function of complex networks &lt;br /&gt;
&lt;br /&gt;
| title = 复杂网络的结构和功能&lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
| journal = SIAM Review&lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
45&lt;br /&gt;
&lt;br /&gt;
 |pages=167–256 &lt;br /&gt;
&lt;br /&gt;
 |pages=167–256 &lt;br /&gt;
&lt;br /&gt;
| 页 = 167-256&lt;br /&gt;
&lt;br /&gt;
 |year=2003 &lt;br /&gt;
&lt;br /&gt;
 |year=2003 &lt;br /&gt;
&lt;br /&gt;
2003年&lt;br /&gt;
&lt;br /&gt;
 |doi=10.1137/S003614450342480 &lt;br /&gt;
&lt;br /&gt;
 |doi=10.1137/S003614450342480 &lt;br /&gt;
&lt;br /&gt;
| doi = 10.1137/S003614450342480&lt;br /&gt;
&lt;br /&gt;
 |issue=2 &lt;br /&gt;
&lt;br /&gt;
 |issue=2 &lt;br /&gt;
&lt;br /&gt;
2&lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516 &lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516 &lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516&lt;br /&gt;
&lt;br /&gt;
 |bibcode=2003SIAMR..45..167N &lt;br /&gt;
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| bibcode = 2003siaml. . 45. . 167 n&lt;br /&gt;
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&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
* {{cite book &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
复杂网络: 结构、健壮性和功能&lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
作者: Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
| 作者链接 = Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
   &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
2 = Reuven Cohen | last-author-amp = yes&lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
2010年&lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
Http://havlin.biu.ac.il/shlomo%20havlin%20books_com_net.php&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
剑桥大学出版社&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph theory&lt;br /&gt;
&lt;br /&gt;
范畴: 图论&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph invariants]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph invariants&lt;br /&gt;
&lt;br /&gt;
类别: 图形不变量&lt;br /&gt;
&lt;br /&gt;
[[Category:Network theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Network theory&lt;br /&gt;
&lt;br /&gt;
范畴: 网络理论&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Degree distribution]]. Its edit history can be viewed at [[度分布/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
	<entry>
		<id>https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12745</id>
		<title>度分布</title>
		<link rel="alternate" type="text/html" href="https://wiki.swarma.org/index.php?title=%E5%BA%A6%E5%88%86%E5%B8%83&amp;diff=12745"/>
		<updated>2020-08-16T13:18:25Z</updated>

		<summary type="html">&lt;p&gt;趣木木：/* Observed degree distributions */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;本词条由Ryan初步翻译&lt;br /&gt;
&lt;br /&gt;
{{Network Science}}&lt;br /&gt;
&lt;br /&gt;
In the study of [[Graph (discrete mathematics)|graphs]] and [[complex network|networks]], the [[degree (graph theory)|degree]] of a node in a network is the number of connections it has to other nodes and the '''degree distribution''' is the [[probability distribution]] of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
In the study of graphs and networks, the degree of a node in a network is the number of connections it has to other nodes and the degree distribution is the probability distribution of these degrees over the whole network.&lt;br /&gt;
&lt;br /&gt;
在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;图 Graphs&amp;lt;/font&amp;gt;'''和'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;网络 Networks&amp;lt;/font&amp;gt;'''的研究中，网络中节点的度是它与其他节点的连接数，而度的分布就是整个网络中这些度的概率分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Definition==&lt;br /&gt;
定义&lt;br /&gt;
&lt;br /&gt;
The [[degree (graph theory)|degree]] of a node in a network (sometimes referred to incorrectly as the [[Connectivity (graph theory)|connectivity]]) is the number of connections or [[Edge (graph theory)#Graph|edges]] the node has to other nodes. If a network is [[directed graph|directed]], meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
The degree of a node in a network (sometimes referred to incorrectly as the connectivity) is the number of connections or edges the node has to other nodes. If a network is directed, meaning that edges point in one direction from one node to another node, then nodes have two different degrees, the in-degree, which is the number of incoming edges, and the out-degree, which is the number of outgoing edges.&lt;br /&gt;
&lt;br /&gt;
网络中一个节点的度(有时会被错误地指代为连通性)是该节点与其他节点的连接或边的数量。如果一个网络是有向的，这意味着边沿着一个方向从一个节点指向另一个节点。那么节点们就会有两个不同的度，一个度表示传入边的数量，另一个度表示传出边的数量。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The degree distribution ''P''(''k'') of a network is then defined to be the fraction of nodes in the network with degree ''k''.  Thus if there are ''n'' nodes in total in a network and ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt; of them have degree ''k'', we have ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''.&lt;br /&gt;
&lt;br /&gt;
The degree distribution P(k) of a network is then defined to be the fraction of nodes in the network with degree k.  Thus if there are n nodes in total in a network and n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt; of them have degree k, we have P(k) = n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;/n.&lt;br /&gt;
&lt;br /&gt;
将网络的度分布''P''(''k'')定义为网络中度值为''k''的所有节点与总节点数量的分数比值，如果一个网络中有''n''个节点，且其中''n&amp;lt;sub&amp;gt;k&amp;lt;/sub&amp;gt;''个节点的度值为''k''，则 ''P''(''k'') = ''n''&amp;lt;sub&amp;gt;''k''&amp;lt;/sub&amp;gt;/''n''。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a ''cumulative degree distribution'', the fraction of nodes with degree smaller than ''k'', or even the ''complementary cumulative degree distribution'', the fraction of nodes with degree greater than or equal to ''k'' (1 - ''C'') if one considers ''C'' as the ''cumulative degree distribution'';  i.e. the complement of ''C''.&lt;br /&gt;
&lt;br /&gt;
The same information is also sometimes presented in the form of a cumulative degree distribution, the fraction of nodes with degree smaller than k, or even the complementary cumulative degree distribution, the fraction of nodes with degree greater than or equal to k (1 - C) if one considers C as the cumulative degree distribution;  i.e. the complement of C.&lt;br /&gt;
&lt;br /&gt;
同样的信息有时也以'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;累积度分布函数 Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（随机选择一个节点，其度值小于k的概率）的形式表示，或是用'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;互补累积度分布函数 Complementary Cumulative Degree Distribution&amp;lt;/font&amp;gt;'''（如果把''C''看作累积度分布，该函数则为度大于或等于''k'' (1 - ''C'')的节点比例）的形式表示，与积累度分布互补。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Observed degree distributions ==&lt;br /&gt;
观察度分布&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the [[Internet]] and [[social networks]], and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) [[random graph]], in which each of ''n'' nodes is independently connected (or not) with probability ''p'' (or 1 − ''p''), has a [[binomial distribution]] of degrees ''k'':&lt;br /&gt;
&lt;br /&gt;
The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:&lt;br /&gt;
&lt;br /&gt;
度分布在研究真实网络(如互联网和社会网络)和理论网络中都非常重要。最简单的网络模型，例如(Erdős–Rényi 模型)'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;随机图 Random Graph&amp;lt;/font&amp;gt;'''，其中每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，它的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;二项分布 Binomial Distribution&amp;lt;/font&amp;gt;'''的度值为''k'':&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = {n-1\choose k} p^k (1 - p)^{n-1-k},&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or [[Poisson distribution|Poisson]] in the limit of large ''n'', if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly [[Skewness|right-skewed]], meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the [[world wide web]], and some social networks were argued to have degree distributions that approximately follow a [[power law]]: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(or Poisson in the limit of large n, if the average degree &amp;lt;math&amp;gt;\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt; is held fixed). Most networks in the real world, however, have degree distributions very different from this. Most are highly right-skewed, meaning that a large majority of nodes have low degree but a small number, known as &amp;quot;hubs&amp;quot;, have high degree. Some networks, notably the Internet, the world wide web, and some social networks were argued to have degree distributions that approximately follow a power law: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(如果平均度\langle k\rangle=p(n-1)&amp;lt;/math&amp;gt;保持不变，也会出现有限节点的泊松分布)。然而，现实世界中的大多数网络的度分布与上述分布非常不同。大多数节点是高度右倾的，这意味着大多数节点的度值较低，但少数节点，即所谓的“枢纽” ，度值较高。一些网络，特别是互联网、万维网和一些社交网络，被认为具有近似遵循幂定律的幂律分布:&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)\sim k^{-\gamma}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where ''γ'' is a constant. Such networks are called [[scale-free networks]] and have attracted particular attention for their structural and dynamical properties&amp;lt;ref name=&amp;quot;BA&amp;quot;&amp;gt;{{cite journal | last=Barabási | first=Albert-László | last2=Albert | first2=Réka | title=Emergence of Scaling in Random Networks | journal=Science | volume=286 | issue=5439 | date=1999-10-15 | issn=0036-8075 | doi=10.1126/science.286.5439.509 | pages=509–512| pmid=10521342 | arxiv=cond-mat/9910332 | bibcode=1999Sci...286..509B }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;AB&amp;quot;&amp;gt;{{cite journal | last=Albert | first=Réka | last2=Barabási | first2=Albert-László | title=Topology of Evolving Networks: Local Events and Universality | journal=Physical Review Letters | volume=85 | issue=24 | date=2000-12-11 | issn=0031-9007 | doi=10.1103/physrevlett.85.5234 | pages=5234–5237| pmid=11102229 | arxiv=cond-mat/0005085 | bibcode=2000PhRvL..85.5234A | hdl=2047/d20000695 | url=https://repository.library.northeastern.edu/files/neu:331099/fulltext.pdf }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;Doro&amp;quot;&amp;gt;{{cite journal | last=Dorogovtsev | first=S. N. | last2=Mendes | first2=J. F. F. | last3=Samukhin | first3=A. N. | title=Size-dependent degree distribution of a scale-free growing network | journal=Physical Review E | volume=63 | issue=6 | date=2001-05-21 | issn=1063-651X | doi=10.1103/physreve.63.062101 | page=062101| pmid=11415146 |arxiv=cond-mat/0011115| bibcode=2001PhRvE..63f2101D }}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&amp;quot;PSY&amp;quot;&amp;gt;{{cite journal|title=Scale-free behavior of networks with the copresence of preferential and uniform attachment rules|journal=Physica D: Nonlinear Phenomena|year=2018|first=Angelica |last=Pachon |first2=Laura |last2=Sacerdote |first3=Shuyi |last3=Yang |volume=371|pages=1–12|doi=10.1016/j.physd.2018.01.005|arxiv=1704.08597|bibcode=2018PhyD..371....1P}}&amp;lt;/ref&amp;gt;. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have [[Fat-tailed distribution|fat-tailed degree distributions]], they deviate from being [[Scale-free network|scale-free]].&amp;lt;ref&amp;gt;{{Cite journal|last=Holme|first=Petter|date=2019-03-04|title=Rare and everywhere: Perspectives on scale-free networks|journal=Nature Communications|language=en|volume=10|issue=1|pages=1016|doi=10.1038/s41467-019-09038-8|issn=2041-1723|pmc=6399274|pmid=30833568|bibcode=2019NatCo..10.1016H}}&amp;lt;/ref&amp;gt; &lt;br /&gt;
&lt;br /&gt;
where γ is a constant. Such networks are called scale-free networks and have attracted particular attention for their structural and dynamical properties. However, recently, there have been some researches based on real-world data sets claiming despite the fact that most of the observed networks have fat-tailed degree distributions, they deviate from being scale-free. &lt;br /&gt;
&lt;br /&gt;
γ是一个常数。这种网络被称为'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;无标度网络 Scale-Free Networks&amp;lt;/font&amp;gt;'''，因其结构和动力学性质而引起人们的特别关注。然而，最近有一些基于真实数据的研究表明，尽管大多数观测到的网络具有'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;肥尾度分布 Fat-Tailed Degree Distributions&amp;lt;/font&amp;gt;'''，但它们无标度分布的特点并不明显。&lt;br /&gt;
&lt;br /&gt;
== Excess degree distribution ==&lt;br /&gt;
超额度分布&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node.&amp;lt;ref name=&amp;quot;:0&amp;quot;&amp;gt;{{Cite book|last=Newman|first=Mark|url=http://www.oxfordscholarship.com/view/10.1093/oso/9780198805090.001.0001/oso-9780198805090|title=Networks|date=2018-10-18|publisher=Oxford University Press|isbn=978-0-19-880509-0|volume=1|language=en|doi=10.1093/oso/9780198805090.001.0001}}&amp;lt;/ref&amp;gt; In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
Excess degree distribution is the probability distribution, for a node reached by following an edge, of the number of other edges attached to that node. In other words, it is the distribution of outgoing links from a node reached by following a link.&lt;br /&gt;
&lt;br /&gt;
超额度分布是通过跟随一条边到达该节点的其他边的数量的概率分布。换句话说，它是通过跟随一个链接从一个节点到达的其传出链接的分布。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Suppose a network has a degree distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;, by selecting one node (randomly or not) and going to one of its neighbors (assuming to have one neighbor at least), then the probability of that node to have &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; neighbors is not given by &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;. The reason is that, whenever some node is selected in a heterogeneous network, it is more probable to reach the hobs by following one of the existing neighbors of that node. The true probability of such nodes to have degree &amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; is &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; which is called the ''excess degree'' of that node. In the [[configuration model]], which correlations between the nodes have been ignored and every node is assumed to be connected to any other nodes in the network with the same probability, the excess degree distribution can be found as&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
假设一个网络具有度分布&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;,通过选择一个节点(随机或非随机)跟踪它的一个邻居(假设至少有一个邻居) ，那么该节点具有&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt; 个邻居的概率不是由&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;.给出的原因在于，无论何时在异质网络中选择某个节点，它都更有可能通过跟随该节点的某个现有邻居到达枢纽节点。这些节点具有度&amp;lt;math&amp;gt;&lt;br /&gt;
k&lt;br /&gt;
&amp;lt;/math&amp;gt;的真实概率是&amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;，它被称为该节点的超额度。在'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;配置模型 Configuration Model&amp;lt;/font&amp;gt;'''中，忽略节点之间的相关性，并假定每个节点以相同的概率连接到网络中的其他任何节点，超额度分布表示为:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
q(k) =  \frac{k+1}{\langle k \rangle}P(k+1),&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the [[friendship paradox]]. It can be shown that a network can have a [[giant component]], if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle}&lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean-degree (average degree) of the model. It follows to that fact that the average degree of the neighbor of any node is greater than the average degree of that node. In social networks, it mean that your friends, on average, have more friends than you. This is famous as the friendship paradox. It can be shown that a network can have a giant component, if its average excess degree is larger than one:&lt;br /&gt;
&lt;br /&gt;
这里&amp;lt;math&amp;gt;{\langle k \rangle}&amp;lt;/math &amp;gt; 是模型的平均度。由此可知，任何节点的邻居的平均度大于该节点的平均度。在社交网络中，这意味着你的朋友平均比你拥有更多的朋友。这就是著名的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;友谊悖论 Friendship Paradox&amp;lt;/font&amp;gt;'''。可以证明，如果一个网络的平均超额度大于1，那么它可以有一个巨大的联通子网络:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\sum_k kq(k) &amp;gt; 1 \Rightarrow  {\langle k^2 \rangle}-2{\langle k \rangle}&amp;gt;0 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the [[configuration model]] and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Bear in mind that the last two equations are just for the configuration model and to derive the excess degree distribution of a real-word network, we should also add degree correlations into account.&lt;br /&gt;
&lt;br /&gt;
记住，最后两个方程只适用于配置模型，要推导出实词网络的超额度分布，还应考虑度相关性。&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== The Generating Functions Method ==&lt;br /&gt;
生成函数方法&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Probability-generating function|Generating functions]] can be used to calculate different properties of random networks. Given the degree distribution and the excess degree distribution of some network, &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; respectively, it is possible to write two power series in the following forms:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; can also be obtained from derivatives of &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If we know the generating function for a probability distribution &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; then we can recover the values of &amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; by differentiating:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Some properties, e.g. the moments, can be easily calculated from &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and its derivatives:&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
And in general&amp;lt;ref name=&amp;quot;:0&amp;quot; /&amp;gt;:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For [[Poisson distribution|Poisson]]-distributed random networks, such as the [[Erdős–Rényi model|ER graph]], &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;, that is the reason why the theory of random networks of this type is especially simple. The probability distributions for the 1st and 2nd-nearest neighbors are generated by the functions &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(G_1(x)) &lt;br /&gt;
&amp;lt;/math&amp;gt;. By extension, the distribution of &amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th neighbors is generated by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, with &amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; iterations of the function &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; acting on itself.&amp;lt;ref name=&amp;quot;:1&amp;quot;&amp;gt;{{Cite journal|last=Newman|first=M. E. J.|last2=Strogatz|first2=S. H.|last3=Watts|first3=D. J.|date=2001-07-24|title=Random graphs with arbitrary degree distributions and their applications|url=https://link.aps.org/doi/10.1103/PhysRevE.64.026118|journal=Physical Review E|language=en|volume=64|issue=2|pages=026118|doi=10.1103/PhysRevE.64.026118|issn=1063-651X|doi-access=free}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors is: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
生成函数可以用来计算随机网络的不同性质。给定某些网络的度分布和超度分布，&amp;lt;math&amp;gt;&lt;br /&gt;
P(k)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
q(k)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以以下列形式写出两个幂级数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) = \textstyle \sum_{k} \displaystyle P(k)x^k &lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \textstyle \sum_{k} \displaystyle q(k)x^k = \textstyle \sum_{k} \displaystyle \frac{k}{\langle k \rangle}P(k)x^{k-1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt; 的值也可得出通过 &amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;的导数:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = \frac{G'_0(x)}{G'_0(1)} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
如果我们知道生成函数的一个概率分布，然后我们就得到&amp;lt;math&amp;gt;P(k)&amp;lt;/math&amp;gt;的值通过鉴别：&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
P(k) = \frac{1}{k!} {\operatorname{d}^k\!G\over\operatorname{d}\!x^k}\biggl \vert _{x=0}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一些性质，例如，时刻性。然后，可以很容易地进行计算依据&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和它的导数:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = G'_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
*&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^2 \rangle} = G''_0(1) + G'_0(1) &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
一般来说:&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k^m \rangle} = \Biggl[{\bigg(\operatorname{x}{\operatorname{d}\!\over\operatorname{dx}\!}\biggl)^m}G_0(x)\Biggl]_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
对于泊松分布的随机网络，如 ER 图，&amp;lt;math&amp;gt;&lt;br /&gt;
G_1(x) = G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;这就是为什么这种类型的随机网络理论特别简单的原因。第一和第二近邻的概率分布是由函数&amp;lt;math&amp;gt;&lt;br /&gt;
G_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; 和&amp;lt;math&amp;gt;G0(G1(x))&amp;lt;/math&amp;gt;生成的。进一步扩展，&amp;lt;math&amp;gt;&lt;br /&gt;
m&lt;br /&gt;
&amp;lt;/math&amp;gt;-th的邻居的分布是由以下几个因素产生的:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
G_0\bigl(G_1(...G_1(x)...)\bigr) &lt;br /&gt;
&amp;lt;/math&amp;gt;, 以&amp;lt;math&amp;gt;&lt;br /&gt;
m-1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 迭代到 &amp;lt;math&amp;gt;&lt;br /&gt;
G_1 &lt;br /&gt;
&amp;lt;/math&amp;gt; 函数本身。第一个邻居的平均数量&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
{\langle k \rangle} = {dG_0(x)\over dx}|_{x=1}&lt;br /&gt;
&amp;lt;/math&amp;gt; 第二个邻居的平均数量是:&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = \biggl[ {d\over dx}G_0\big(G_1(x)\big)\biggl]_{x=1} = G_1'(1)G'_0\big(G_1(1)\big) =  G_1'(1)G'_0(1) = G''_0(1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Degree distribution for directed networks ==&lt;br /&gt;
有向网络的度分布&lt;br /&gt;
&lt;br /&gt;
[[File:Enwiki-degree-distribution.png|thumb|right|320px|&lt;br /&gt;
图1：In/out degree distribution for Wikipedia's hyperlink graph (logarithmic scales) 维基百科超链接图(对数尺度)的入/出度分布]]&lt;br /&gt;
&lt;br /&gt;
In a directed network, each node has some in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and some out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; which are the number of links which have run into and out of that node respectfully. If &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; is the probability that a randomly chosen node has in-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; and out-degree &amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt; then the generating function assigned to this [[joint probability distribution]] can be written with two valuables &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; as:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
在有向网络中，每个节点都有一些入度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{&lt;br /&gt;
in}&lt;br /&gt;
&amp;lt;/math&amp;gt; 和一些出度&amp;lt;math&amp;gt;&lt;br /&gt;
k_{out}&lt;br /&gt;
&amp;lt;/math&amp;gt;分别指代的是指向该节点的边的数量和从该节点指出的边的数量。如果 &amp;lt;math&amp;gt;&lt;br /&gt;
P(k_{in}, k_{out})&lt;br /&gt;
&amp;lt;/math&amp;gt; 是一个随机选择的具有入出度的节点的可能性。那么分配给这个生成函数的'''&amp;lt;font color=&amp;quot;#ff8000&amp;quot;&amp;gt;联合概率分布  Joint Probability Distribution&amp;lt;/font&amp;gt;'''可以被写成两个变量 &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y) =  \sum_{k_{in},k_{out}} \displaystyle P({k_{in},k_{out}})x^{k_{in}}y^{k_{out}} .&lt;br /&gt;
&amp;lt;/math&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Since every link in a directed network must leave some node and enter another, the net average number of links entering&lt;br /&gt;
&lt;br /&gt;
a node is zero. Therefore, &lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
which implies that, the generation function must satisfy:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt; is the mean degree (both in and out) of the nodes in the network; &amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
由于有向网络中的每个链路必须离开某个节点并进入另一个节点，因此进入一个节点的链路的净平均数是零。所以,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}-k_{out}}\rangle =\sum_{k_{in},k_{out}} \displaystyle (k_{in}-k_{out})P({k_{in},k_{out}}) = 0 &lt;br /&gt;
&amp;lt;/math&amp;gt;,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这意味着，生成函数必须满足:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\vert _{x,y=1} = c,&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
c &lt;br /&gt;
&amp;lt;/math&amp;gt;是网络中节点的平均度(内部和外部)&amp;lt;math&amp;gt;&lt;br /&gt;
\langle{k_{in}}\rangle = \langle{k_{out}}\rangle = c. &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Using the function &amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;, we can again find the generation function for the in/out-degree distribution and in/out-excess degree distribution, as before. &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt; can be defined as generating functions for the number of arriving links at a randomly chosen node, and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;can be defined as the number of arriving links at a node reached by following a randomly chosen link. We can also define generating functions &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; for the number leaving such a node:&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
使用函数&amp;lt;math&amp;gt;&lt;br /&gt;
\mathcal{G}(x,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;如前所述，我们可以再次找到入/出度分布和入/出超量度分布的生成函数。可以将&amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) &lt;br /&gt;
&amp;lt;/math&amp;gt;定义为一个随机选择的节点上到达的链接数的生成函数，以及 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x)&lt;br /&gt;
&amp;lt;/math&amp;gt;可以定义为按照随机选择的链接到达一个节点的到达链接数。我们也可以定义生成函数 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y)&lt;br /&gt;
&amp;lt;/math&amp;gt; 和 &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y)&lt;br /&gt;
&amp;lt;/math&amp;gt;表示离开节点的边的数量:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_0(x) = \mathcal{G}(x,1)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{in}_1(x) =  \frac{1}{c} {\partial \mathcal{G}\over\partial x}\vert _{y=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_0(y) = \mathcal{G}(1,y)&lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
* &amp;lt;math&amp;gt;&lt;br /&gt;
G^{out}_1(y) =  \frac{1}{c} {\partial \mathcal{G}\over\partial y}\vert _{x=1} &lt;br /&gt;
&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here, the average number of 1st neighbors, &amp;lt;math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;, or as previously introduced as &amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;, is &amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt; and the average number of 2nd neighbors reachable from a randomly chosen node is given by: &amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. These are also the numbers of 1st and 2nd neighbors from which a random node can be reached, since these equations are manifestly symmetric in &amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;.&amp;lt;ref name=&amp;quot;:1&amp;quot; /&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
这里，第一个邻居的平均数量math&amp;gt;&lt;br /&gt;
c&lt;br /&gt;
&amp;lt;/math&amp;gt;，或者像之前表示的&amp;lt;math&amp;gt;&lt;br /&gt;
c_1&lt;br /&gt;
&amp;lt;/math&amp;gt;是&lt;br /&gt;
&amp;lt;math&amp;gt;&lt;br /&gt;
 {\partial \mathcal{G}\over\partial x}\biggl \vert _{x,y=1} =  {\partial \mathcal{G}\over\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;/math&amp;gt;从一个随机选择的节点上可达到的第二邻居的平均数是&amp;lt;math&amp;gt;&lt;br /&gt;
c_2 = G_1'(1)G'_0(1) ={\partial^2 \mathcal{G}\over\partial x\partial y}\biggl \vert _{x,y=1}&lt;br /&gt;
&amp;lt;/math&amp;gt;. 这些是从随机选择的节点所达到第一和第二邻居的数量，因为这些方程显然是在&amp;lt;math&amp;gt;&lt;br /&gt;
x&lt;br /&gt;
&amp;lt;/math&amp;gt;和 &amp;lt;math&amp;gt;&lt;br /&gt;
y&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/math&amp;gt;上对称的。&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* [[Graph theory]]&lt;br /&gt;
图理论&lt;br /&gt;
* [[Complex network]]&lt;br /&gt;
复杂网络&lt;br /&gt;
* [[Scale-free network]]&lt;br /&gt;
无标度网络&lt;br /&gt;
* [[Random graph]]&lt;br /&gt;
随机网络&lt;br /&gt;
* [[Structural cut-off]]&lt;br /&gt;
结构截止值&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
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 |first=M. E. J. &lt;br /&gt;
&lt;br /&gt;
 |first=M. E. J. &lt;br /&gt;
&lt;br /&gt;
| first = m.E.j.&lt;br /&gt;
&lt;br /&gt;
 |title=The structure and function of complex networks &lt;br /&gt;
&lt;br /&gt;
 |title=The structure and function of complex networks &lt;br /&gt;
&lt;br /&gt;
| title = 复杂网络的结构和功能&lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
 |journal=SIAM Review &lt;br /&gt;
&lt;br /&gt;
| journal = SIAM Review&lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
 |volume=45 &lt;br /&gt;
&lt;br /&gt;
45&lt;br /&gt;
&lt;br /&gt;
 |pages=167–256 &lt;br /&gt;
&lt;br /&gt;
 |pages=167–256 &lt;br /&gt;
&lt;br /&gt;
| 页 = 167-256&lt;br /&gt;
&lt;br /&gt;
 |year=2003 &lt;br /&gt;
&lt;br /&gt;
 |year=2003 &lt;br /&gt;
&lt;br /&gt;
2003年&lt;br /&gt;
&lt;br /&gt;
 |doi=10.1137/S003614450342480 &lt;br /&gt;
&lt;br /&gt;
 |doi=10.1137/S003614450342480 &lt;br /&gt;
&lt;br /&gt;
| doi = 10.1137/S003614450342480&lt;br /&gt;
&lt;br /&gt;
 |issue=2 &lt;br /&gt;
&lt;br /&gt;
 |issue=2 &lt;br /&gt;
&lt;br /&gt;
2&lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516 &lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516 &lt;br /&gt;
&lt;br /&gt;
 |arxiv=cond-mat/0303516&lt;br /&gt;
&lt;br /&gt;
 |bibcode=2003SIAMR..45..167N &lt;br /&gt;
&lt;br /&gt;
 |bibcode=2003SIAMR..45..167N &lt;br /&gt;
&lt;br /&gt;
| bibcode = 2003siaml. . 45. . 167 n&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
* {{cite book &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
  | title= Complex Networks: Structure, Robustness and Function &lt;br /&gt;
&lt;br /&gt;
复杂网络: 结构、健壮性和功能&lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
作者: Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
  | author-link= Shlomo Havlin &lt;br /&gt;
&lt;br /&gt;
| 作者链接 = Shlomo Havlin&lt;br /&gt;
&lt;br /&gt;
   &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
  | author2= Reuven Cohen| last-author-amp= yes &lt;br /&gt;
&lt;br /&gt;
2 = Reuven Cohen | last-author-amp = yes&lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
  | year= 2010 &lt;br /&gt;
&lt;br /&gt;
2010年&lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
  | url= http://havlin.biu.ac.il/Shlomo%20Havlin%20books_com_net.php &lt;br /&gt;
&lt;br /&gt;
Http://havlin.biu.ac.il/shlomo%20havlin%20books_com_net.php&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
  | publisher= Cambridge University Press&lt;br /&gt;
&lt;br /&gt;
剑桥大学出版社&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph theory&lt;br /&gt;
&lt;br /&gt;
范畴: 图论&lt;br /&gt;
&lt;br /&gt;
[[Category:Graph invariants]]&lt;br /&gt;
&lt;br /&gt;
Category:Graph invariants&lt;br /&gt;
&lt;br /&gt;
类别: 图形不变量&lt;br /&gt;
&lt;br /&gt;
[[Category:Network theory]]&lt;br /&gt;
&lt;br /&gt;
Category:Network theory&lt;br /&gt;
&lt;br /&gt;
范畴: 网络理论&lt;br /&gt;
&lt;br /&gt;
&amp;lt;noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;small&amp;gt;This page was moved from [[wikipedia:en:Degree distribution]]. Its edit history can be viewed at [[度分布/edithistory]]&amp;lt;/small&amp;gt;&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:待整理页面]]&lt;/div&gt;</summary>
		<author><name>趣木木</name></author>
	</entry>
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