Literature DB >> 26986295

Thermodynamic aspects of information transfer in complex dynamical systems.

Carlo Cafaro1, Sean Alan Ali2, Adom Giffin3.   

Abstract

From the Horowitz-Esposito stochastic thermodynamical description of information flows in dynamical systems [J. M. Horowitz and M. Esposito, Phys. Rev. X 4, 031015 (2014)], it is known that while the second law of thermodynamics is satisfied by a joint system, the entropic balance for the subsystems is adjusted by a term related to the mutual information exchange rate between the two subsystems. In this article, we present a quantitative discussion of the conceptual link between the Horowitz-Esposito analysis and the Liang-Kleeman work on information transfer between dynamical system components [X. S. Liang and R. Kleeman, Phys. Rev. Lett. 95, 244101 (2005)]. In particular, the entropic balance arguments employed in the two approaches are compared. Notwithstanding all differences between the two formalisms, our work strengthens the Liang-Kleeman heuristic balance reasoning by showing its formal analogy with the recent Horowitz-Esposito thermodynamic balance arguments.

Mesh:

Year:  2016        PMID: 26986295     DOI: 10.1103/PhysRevE.93.022114

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


  3 in total

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

2.  Backward transfer entropy: Informational measure for detecting hidden Markov models and its interpretations in thermodynamics, gambling and causality.

Authors:  Sosuke Ito
Journal:  Sci Rep       Date:  2016-11-11       Impact factor: 4.379

3.  Information Transfer Among the Components in Multi-Dimensional Complex Dynamical Systems.

Authors:  Yimin Yin; Xiaojun Duan
Journal:  Entropy (Basel)       Date:  2018-10-09       Impact factor: 2.524

  3 in total

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