更改

跳到导航 跳到搜索
添加6字节 、 2020年11月3日 (二) 16:24
第56行: 第56行:  
===Nonnegativity 非负性===
 
===Nonnegativity 非负性===
 
The joint entropy of a set of random variables is a nonnegative number.
 
The joint entropy of a set of random variables is a nonnegative number.
 +
 
一组随机变量的联合熵是一个非负数。
 
一组随机变量的联合熵是一个非负数。
:<math>\Eta(X,Y) \geq 0</math>
     −
:<math>\Eta(X_1,\ldots, X_n) \geq 0</math>
+
 
 +
:<math>H(X,Y) \geq 0</math>
 +
 
 +
:<math>H(X_1,\ldots, X_n) \geq 0</math>
 +
 
 +
 
    
=== Greater than individual entropies 大于单个熵===
 
=== Greater than individual entropies 大于单个熵===
    
The joint entropy of a set of variables is greater than or equal to the maximum of all of the individual entropies of the variables in the set.
 
The joint entropy of a set of variables is greater than or equal to the maximum of all of the individual entropies of the variables in the set.
 +
 
一组变量的联合熵大于或等于该组变量的所有单个熵的最大值。
 
一组变量的联合熵大于或等于该组变量的所有单个熵的最大值。
   −
:<math>\Eta(X,Y) \geq \max \left[\Eta(X),\Eta(Y) \right]</math>
     −
:<math>\Eta \bigl(X_1,\ldots, X_n \bigr) \geq \max_{1 \le i \le n}  
+
:<math>H(X,Y) \geq \max \left[H(X),H(Y) \right]</math>
 +
 
 +
:<math>H \bigl(X_1,\ldots, X_n \bigr) \geq \max_{1 \le i \le n}  
 
     \Bigl\{ \Eta\bigl(X_i\bigr) \Bigr\}</math>
 
     \Bigl\{ \Eta\bigl(X_i\bigr) \Bigr\}</math>
 +
 +
    
=== Less than or equal to the sum of individual entropies 小于或等于单个熵的总和===
 
=== Less than or equal to the sum of individual entropies 小于或等于单个熵的总和===
    
The joint entropy of a set of variables is less than or equal to the sum of the individual entropies of the variables in the set.  This is an example of [[subadditivity]].  This inequality is an equality if and only if <math>X</math> and <math>Y</math> are [[statistically independent]].<ref name=cover1991 />{{rp|30}}
 
The joint entropy of a set of variables is less than or equal to the sum of the individual entropies of the variables in the set.  This is an example of [[subadditivity]].  This inequality is an equality if and only if <math>X</math> and <math>Y</math> are [[statistically independent]].<ref name=cover1991 />{{rp|30}}
一组变量的联合熵小于或等于该组变量各个熵的总和。这是次可加性的一个例子。即当且仅当<math>X</math>和<math>Y</math>在统计上独立时,该不等式才是等式。
     −
:<math>\Eta(X,Y) \leq \Eta(X) + \Eta(Y)</math>
+
一组变量的联合熵小于或等于该组变量各个熵的总和。这是次可加性的一个例子。即当且仅当<math>X</math>和<math>Y</math>在统计上独立时,该不等式才是等式。<ref name=cover1991 />{{rp|30}}
 +
 
 +
 
 +
:<math>H(X,Y) \leq H(X) + H(Y)</math>
   −
:<math>\Eta(X_1,\ldots, X_n) \leq \Eta(X_1) + \ldots + \Eta(X_n)</math>
+
:<math>H(X_1,\ldots, X_n) \leq H(X_1) + \ldots + H(X_n)</math>
    
==Relations to other entropy measures==
 
==Relations to other entropy measures==
961

个编辑

导航菜单