Irreversibility in non-reciprocal chaotic systems

How is the irreversibility of a high-dimensional chaotic system related to its dynamical behavior? In this paper, we address this question by developing a stochastic-thermodynamics treatment of complex networks that exhibit chaos. Specifically, we establish an exact relation between the averaged ent...

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Main Authors: Tuan Minh Pham, Albert Alonso, Karel Proesmans
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/adae2a
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author Tuan Minh Pham
Albert Alonso
Karel Proesmans
author_facet Tuan Minh Pham
Albert Alonso
Karel Proesmans
author_sort Tuan Minh Pham
collection DOAJ
description How is the irreversibility of a high-dimensional chaotic system related to its dynamical behavior? In this paper, we address this question by developing a stochastic-thermodynamics treatment of complex networks that exhibit chaos. Specifically, we establish an exact relation between the averaged entropy production rate—a measure of irreversibility—and the autocorrelation function for an infinite system of neurons coupled via random non-reciprocal interactions. We show how, under given noise strength, the entropy production rate can signal the onset of a transition occurring as the coupling heterogeneity increases beyond a critical value via a change in its functional form upon crossing this point. Furthermore, this transition happens at a fixed, noise-independent entropy production rate, elucidating how robust energetic cost is possibly responsible for optimal information processing at criticality.
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spelling doaj-art-145aa35665a145cf8a93acf9f1387de72025-02-04T12:22:48ZengIOP PublishingNew Journal of Physics1367-26302025-01-0127202300310.1088/1367-2630/adae2aIrreversibility in non-reciprocal chaotic systemsTuan Minh Pham0https://orcid.org/0000-0003-2869-0165Albert Alonso1https://orcid.org/0000-0002-0441-0395Karel Proesmans2https://orcid.org/0000-0001-9051-4205Institute of Physics , University of Amsterdam, Science Park 904, Amsterdam, The Netherlands; Dutch Institute for Emergent Phenomena , 1090 GE Amsterdam, The NetherlandsNiels Bohr Institute , University of Copenhagen, Blegdamsvej 17, Copenhagen 2100-DK, DenmarkNiels Bohr Institute , University of Copenhagen, Blegdamsvej 17, Copenhagen 2100-DK, DenmarkHow is the irreversibility of a high-dimensional chaotic system related to its dynamical behavior? In this paper, we address this question by developing a stochastic-thermodynamics treatment of complex networks that exhibit chaos. Specifically, we establish an exact relation between the averaged entropy production rate—a measure of irreversibility—and the autocorrelation function for an infinite system of neurons coupled via random non-reciprocal interactions. We show how, under given noise strength, the entropy production rate can signal the onset of a transition occurring as the coupling heterogeneity increases beyond a critical value via a change in its functional form upon crossing this point. Furthermore, this transition happens at a fixed, noise-independent entropy production rate, elucidating how robust energetic cost is possibly responsible for optimal information processing at criticality.https://doi.org/10.1088/1367-2630/adae2aentropy production ratenon-reciprocal interactionchaotic dynamicsneural networksdynamical mean field theory
spellingShingle Tuan Minh Pham
Albert Alonso
Karel Proesmans
Irreversibility in non-reciprocal chaotic systems
New Journal of Physics
entropy production rate
non-reciprocal interaction
chaotic dynamics
neural networks
dynamical mean field theory
title Irreversibility in non-reciprocal chaotic systems
title_full Irreversibility in non-reciprocal chaotic systems
title_fullStr Irreversibility in non-reciprocal chaotic systems
title_full_unstemmed Irreversibility in non-reciprocal chaotic systems
title_short Irreversibility in non-reciprocal chaotic systems
title_sort irreversibility in non reciprocal chaotic systems
topic entropy production rate
non-reciprocal interaction
chaotic dynamics
neural networks
dynamical mean field theory
url https://doi.org/10.1088/1367-2630/adae2a
work_keys_str_mv AT tuanminhpham irreversibilityinnonreciprocalchaoticsystems
AT albertalonso irreversibilityinnonreciprocalchaoticsystems
AT karelproesmans irreversibilityinnonreciprocalchaoticsystems