Non-equilibrium attractor for non-linear stochastic dynamics

Fuente: arXiv
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Auteurs principaux: Patrón, A., Sánchez-Rey, B., Trizac, E., Prados, A.
Format: Preprint
Publié: 2023
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author Patrón, A.
Sánchez-Rey, B.
Trizac, E.
Prados, A.
author_facet Patrón, A.
Sánchez-Rey, B.
Trizac, E.
Prados, A.
contents We study the dynamical behaviour of mesoscopic systems in contact with a thermal bath, described either via a non-linear Langevin equation at the trajectory level -- or the corresponding Fokker-Planck equation for the probability distribution function at the ensemble level. Our focus is put on one-dimensional -- or $d$-dimensional isotropic -- systems in confining potentials, with detailed balance -- fluctuation-dissipation thus holds, and the stationary probability distribution has the canonical form at the bath temperature. When quenching the bath temperature to low enough values, a far-from-equilibrium state emerges that rules the dynamics over a characteristic intermediate timescale. Such a long-lived state has a Dirac-delta probability distribution function and attracts all solutions over this intermediate timescale, in which the initial conditions are immaterial while the influence of the bath is still negligible. Numerical evidence and qualitative physical arguments suggest that the above picture extends to higher-dimensional systems, with anisotropy and interactions.
format Preprint
id arxiv_https___arxiv_org_abs_2307_04728
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Non-equilibrium attractor for non-linear stochastic dynamics
Patrón, A.
Sánchez-Rey, B.
Trizac, E.
Prados, A.
Statistical Mechanics
We study the dynamical behaviour of mesoscopic systems in contact with a thermal bath, described either via a non-linear Langevin equation at the trajectory level -- or the corresponding Fokker-Planck equation for the probability distribution function at the ensemble level. Our focus is put on one-dimensional -- or $d$-dimensional isotropic -- systems in confining potentials, with detailed balance -- fluctuation-dissipation thus holds, and the stationary probability distribution has the canonical form at the bath temperature. When quenching the bath temperature to low enough values, a far-from-equilibrium state emerges that rules the dynamics over a characteristic intermediate timescale. Such a long-lived state has a Dirac-delta probability distribution function and attracts all solutions over this intermediate timescale, in which the initial conditions are immaterial while the influence of the bath is still negligible. Numerical evidence and qualitative physical arguments suggest that the above picture extends to higher-dimensional systems, with anisotropy and interactions.
title Non-equilibrium attractor for non-linear stochastic dynamics
topic Statistical Mechanics
url https://arxiv.org/abs/2307.04728