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大小无更改 、 2020年8月13日 (四) 21:04
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* 包含非平衡态统计力学结果(如下)的混合方法可能是很有用的。
 
* 包含非平衡态统计力学结果(如下)的混合方法可能是很有用的。
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== Non-equilibrium statistical mechanics ==
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== Non-equilibrium statistical mechanics 非平衡态统计力学==
    
{{see also|Non-equilibrium thermodynamics}}
 
{{see also|Non-equilibrium thermodynamics}}
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非平衡态统计力学
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There are many physical phenomena of interest that involve quasi-thermodynamic processes out of equilibrium, for example:
 
There are many physical phenomena of interest that involve quasi-thermodynamic processes out of equilibrium, for example:
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=== Stochastic methods ===
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=== Stochastic methods 随机方法===
随机方法
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One approach to non-equilibrium statistical mechanics is to incorporate [[stochastic]] (random) behaviour into the system. Stochastic behaviour destroys information contained in the ensemble. While this is technically inaccurate (aside from [[Black hole information paradox|hypothetical situations involving black holes]], a system cannot in itself cause loss of information), the randomness is added to reflect that information of interest becomes converted over time into subtle correlations within the system, or to correlations between the system and environment. These correlations appear as [[Chaos theory|chaotic]] or [[pseudorandom]] influences on the variables of interest. By replacing these correlations with randomness proper, the calculations can be made much easier.
 
One approach to non-equilibrium statistical mechanics is to incorporate [[stochastic]] (random) behaviour into the system. Stochastic behaviour destroys information contained in the ensemble. While this is technically inaccurate (aside from [[Black hole information paradox|hypothetical situations involving black holes]], a system cannot in itself cause loss of information), the randomness is added to reflect that information of interest becomes converted over time into subtle correlations within the system, or to correlations between the system and environment. These correlations appear as [[Chaos theory|chaotic]] or [[pseudorandom]] influences on the variables of interest. By replacing these correlations with randomness proper, the calculations can be made much easier.
  
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