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Autori principali: Okubo, Ken-ichi, Umeno, Ken
Natura: Preprint
Pubblicazione: 2017
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Accesso online:https://arxiv.org/abs/1703.10888
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author Okubo, Ken-ichi
Umeno, Ken
author_facet Okubo, Ken-ichi
Umeno, Ken
contents This study presents a specific symplectic map, derived from a Hamiltonian, as a model that exhibits time-reversal symmetry on a microscopic scale. Based on the analysis, any initial density function, defined almost everywhere, converges to a uniform distribution in terms of mixing (irreversible behavior) on a macroscopic level. Furthermore, we established that this mixing invariant measure is a unique equilibrium state, unique SRB measure, and physical measure. Additionally, through analytical proof, we have shown that the Kolmogorov-Sinai entropy, representing the average information gain per unit time is positive. This was achieved by validating the Pesin's formula and demonstrating that the critical exponent of the Lyapunov exponent is $1/2$.
format Preprint
id arxiv_https___arxiv_org_abs_1703_10888
institution arXiv
publishDate 2017
record_format arxiv
spellingShingle Anosov Properties of a Symplectic Map with Time-Reversal Symmetry
Okubo, Ken-ichi
Umeno, Ken
Chaotic Dynamics
This study presents a specific symplectic map, derived from a Hamiltonian, as a model that exhibits time-reversal symmetry on a microscopic scale. Based on the analysis, any initial density function, defined almost everywhere, converges to a uniform distribution in terms of mixing (irreversible behavior) on a macroscopic level. Furthermore, we established that this mixing invariant measure is a unique equilibrium state, unique SRB measure, and physical measure. Additionally, through analytical proof, we have shown that the Kolmogorov-Sinai entropy, representing the average information gain per unit time is positive. This was achieved by validating the Pesin's formula and demonstrating that the critical exponent of the Lyapunov exponent is $1/2$.
title Anosov Properties of a Symplectic Map with Time-Reversal Symmetry
topic Chaotic Dynamics
url https://arxiv.org/abs/1703.10888