Relations between entropy rate, entropy production and information geometry in linear stochastic systems

A.-J. Guel-Cortez, Eun-jin Kim

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, we investigate the relation between the concept of ‘information rate’, an information geometric method for measuring the speed of the time evolution of the statistical states of a stochastic process, and stochastic thermodynamics quantities like entropy rate and entropy production. Then, we propose the application of entropy rate and entropy production to different practical applications such as abrupt event detection, correlation analysis, and control engineering. Specifically, by utilising the Fokker-Planck equation of multi-variable linear stochastic processes described by Langevin equations, we calculate the exact value for information rate, entropy rate, and entropy production and derive various inequalities among them. Inspired by classical correlation coefficients and control techniques, we create entropic-informed correlation coefficients as abrupt event detection methods and information geometric cost functions as optimal thermodynamic control policies, respectively. The methods are analysed via the numerical simulations of common prototypical systems.

Original languageEnglish
Article number033204
Number of pages34
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2023
Issue number3
DOIs
Publication statusPublished - 15 Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 IOP Publishing Ltd and SISSA Medialab srl.

Keywords

  • information geometry
  • stochastic thermodynamics
  • linear stochastic systems

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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