Uncertainty relations and fluctuation theorems for Bayes nets

Fuente: arXiv
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Main Author: Wolpert, David H.
Format: Preprint
Published: 2019
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author Wolpert, David H.
author_facet Wolpert, David H.
contents Recent research has considered the stochastic thermodynamics of multiple interacting systems, representing the overall system as a Bayes net. I derive fluctuation theorems governing the entropy production (EP)of arbitrary sets of the systems in such a Bayes net. I also derive ``conditional'' fluctuation theorems, governing the distribution of EP in one set of systems conditioned on the EP of a different set of systems. I then derive thermodynamic uncertainty relations relating the EP of the overall system to the precisions of probability currents within the individual systems.
format Preprint
id arxiv_https___arxiv_org_abs_1911_02700
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Uncertainty relations and fluctuation theorems for Bayes nets
Wolpert, David H.
Statistical Mechanics
Machine Learning
Recent research has considered the stochastic thermodynamics of multiple interacting systems, representing the overall system as a Bayes net. I derive fluctuation theorems governing the entropy production (EP)of arbitrary sets of the systems in such a Bayes net. I also derive ``conditional'' fluctuation theorems, governing the distribution of EP in one set of systems conditioned on the EP of a different set of systems. I then derive thermodynamic uncertainty relations relating the EP of the overall system to the precisions of probability currents within the individual systems.
title Uncertainty relations and fluctuation theorems for Bayes nets
topic Statistical Mechanics
Machine Learning
url https://arxiv.org/abs/1911.02700