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arXiv 2001.02205cond-mat.stat-mechcs.LG
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Minimal entropy production due to constraints on rate matrix dependencies in multipartite processes

Santa Fe Institute(圣塔菲研究所);Complexity Science Hub(复杂性科学中心);Arizona State University(亚利桑那州立大学)

David H Wolpert

英文摘要:

I consider multipartite processes in which there are constraints on each subsystem's rate matrix, restricting which other subsystems can directly affect its dynamics. I derive a strictly nonzero lower bound on the minimal achievable entropy production rate of the process in terms of these constraints on the rate matrices of its subsystems. The bound is based on constructing counterfactual rate matrices, in which some subsystems are held fixed while the others are allowed to evolve. This bound is related to the "learning rate" of stationary bipartite systems, and more generally to the "information flow" in bipartite systems.

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