Jarzyski's Equality and Crooks' Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems

被引:0
|
作者
Hack, Pedro [1 ]
Gottwald, Sebastian [1 ]
Braun, Daniel A. [1 ]
机构
[1] Ulm Univ, Inst Neural Informat Proc, D-89081 Ulm, Germany
基金
欧洲研究理事会;
关键词
fluctuation theorems; Markov chains; information processing; decision-making; FREE-ENERGY DIFFERENCES; NONEQUILIBRIUM MEASUREMENTS; JARZYNSKI EQUALITY; INFORMATION;
D O I
10.3390/e24121731
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We define common thermodynamic concepts purely within the framework of general Markov chains and derive Jarzynski's equality and Crooks' fluctuation theorem in this setup. In particular, we regard the discrete-time case, which leads to an asymmetry in the definition of work that appears in the usual formulation of Crooks' fluctuation theorem. We show how this asymmetry can be avoided with an additional condition regarding the energy protocol. The general formulation in terms of Markov chains allows transferring the results to other application areas outside of physics. Here, we discuss how this framework can be applied in the context of decision-making. This involves the definition of the relevant quantities, the assumptions that need to be made for the different fluctuation theorems to hold, as well as the consideration of discrete trajectories instead of the continuous trajectories, which are relevant in physics.
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页数:19
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