Thermodynamics of chaotic relaxation processes

Fuente: arXiv
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Autore principale: Lippolis, Domenico
Natura: Preprint
Pubblicazione: 2024
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author Lippolis, Domenico
author_facet Lippolis, Domenico
contents The established thermodynamic formalism of chaotic dynamics, valid at statistical equilibrium, is here generalized to systems out of equilibrium, that have yet to relax to a steady state. A relation between information, escape rate, and the phase-space average of an integrated observable (e.g. Lyapunov exponent, diffusion coefficient) is obtained for finite time. Most notably, the thermodynamic treatment may predict the phase-space profile of any finite-time integrated observable from the leading and subleading eigenfunctions of the Perron-Frobenius/Koopman transfer operator. Examples of that equivalence are shown, and the theory is tested analytically on the Bernoulli map, while numerically on the perturbed cat map, the Hénon map, and the Ikeda map, all paradigms of chaos.
format Preprint
id arxiv_https___arxiv_org_abs_2404_09130
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Thermodynamics of chaotic relaxation processes
Lippolis, Domenico
Chaotic Dynamics
Statistical Mechanics
The established thermodynamic formalism of chaotic dynamics, valid at statistical equilibrium, is here generalized to systems out of equilibrium, that have yet to relax to a steady state. A relation between information, escape rate, and the phase-space average of an integrated observable (e.g. Lyapunov exponent, diffusion coefficient) is obtained for finite time. Most notably, the thermodynamic treatment may predict the phase-space profile of any finite-time integrated observable from the leading and subleading eigenfunctions of the Perron-Frobenius/Koopman transfer operator. Examples of that equivalence are shown, and the theory is tested analytically on the Bernoulli map, while numerically on the perturbed cat map, the Hénon map, and the Ikeda map, all paradigms of chaos.
title Thermodynamics of chaotic relaxation processes
topic Chaotic Dynamics
Statistical Mechanics
url https://arxiv.org/abs/2404.09130