Anosov Properties of a Symplectic Map with Time-Reversal Symmetry

Abstract

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 $1/2$.

References in corpus (7)

• Kolmogorov-Sinai entropy-rate vs. physical entropy
• Note on nonequilibrium stationary states and entropy
• Boltzmann entropy and chaos in a large assembly of weakly interacting systems
• Exact Lyapunov exponents of the generalized Boole transformations
• Remark on the (Non)convergence of Ensemble Densities in Dynamical Systems
• Big Entropy Fluctuations in Nonequilibrium Steady State: A Simple Model with Gauss Heat Bath
• Non-Gaussian features of chaotic Hamiltonian transport

Cited by in corpus (1)

• Superdiffusion of Aerosols Emitted After Sneezing -- Nonequilibrium Statistical Mechanics Approach