Literature DB >> 27627274

Transfer entropy in physical systems and the arrow of time.

Richard E Spinney1, Joseph T Lizier1, Mikhail Prokopenko1.   

Abstract

Recent developments have cemented the realization that many concepts and quantities in thermodynamics and information theory are shared. In this paper, we consider a highly relevant quantity in information theory and complex systems, the transfer entropy, and explore its thermodynamic role by considering the implications of time reversal upon it. By doing so we highlight the role of information dynamics on the nuanced question of observer perspective within thermodynamics by relating the temporal irreversibility in the information dynamics to the configurational (or spatial) resolution of the thermodynamics. We then highlight its role in perhaps the most enduring paradox in modern physics, the manifestation of a (thermodynamic) arrow of time. We find that for systems that process information such as those undergoing feedback, a robust arrow of time can be formulated by considering both the apparent physical behavior which leads to conventional entropy production and the information dynamics which leads to a quantity we call the information theoretic arrow of time. We also offer an interpretation in terms of optimal encoding of observed physical behavior.

Year:  2016        PMID: 27627274     DOI: 10.1103/PhysRevE.94.022135

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  6 in total

1.  Information Thermodynamics for Time Series of Signal-Response Models.

Authors:  Andrea Auconi; Andrea Giansanti; Edda Klipp
Journal:  Entropy (Basel)       Date:  2019-02-14       Impact factor: 2.524

2.  Semantic information, autonomous agency and non-equilibrium statistical physics.

Authors:  Artemy Kolchinsky; David H Wolpert
Journal:  Interface Focus       Date:  2018-10-19       Impact factor: 3.906

3.  Thermodynamic efficiency of contagions: a statistical mechanical analysis of the SIS epidemic model.

Authors:  Nathan Harding; Ramil Nigmatullin; Mikhail Prokopenko
Journal:  Interface Focus       Date:  2018-10-19       Impact factor: 3.906

4.  Neural Estimator of Information for Time-Series Data with Dependency.

Authors:  Sina Molavipour; Hamid Ghourchian; Germán Bassi; Mikael Skoglund
Journal:  Entropy (Basel)       Date:  2021-05-21       Impact factor: 2.524

5.  Minimising the Kullback-Leibler Divergence for Model Selection in Distributed Nonlinear Systems.

Authors:  Oliver M Cliff; Mikhail Prokopenko; Robert Fitch
Journal:  Entropy (Basel)       Date:  2018-01-23       Impact factor: 2.524

6.  A Maximum Entropy Model of Bounded Rational Decision-Making with Prior Beliefs and Market Feedback.

Authors:  Benjamin Patrick Evans; Mikhail Prokopenko
Journal:  Entropy (Basel)       Date:  2021-05-26       Impact factor: 2.524

  6 in total

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