Nonequilibrium Macroscopic Response Relations for Counting Statistics

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Zheng, Jiming, Lu, Zhiyue
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866909885663281152
author Zheng, Jiming
Lu, Zhiyue
author_facet Zheng, Jiming
Lu, Zhiyue
contents Understanding how macroscopic nonequilibrium systems respond to changes in external or internal parameters remains a fundamental challenge in physics. In this work, we report a parameter transitional symmetry valid for macroscopic dynamics arbitrarily far from equilibrium. The symmetry leads to exact response relations and gives meaningful expansions in both linear and short-time regimes. This framework provides a universal description of macroscopic response phenomena arbitrarily far from equilibrium - including non-stationary processes and time-dependent attractors. The theory is validated and demonstrated numerically using the Willamowski-Rossler model, which exhibits rich dynamical behaviors including limit cycles and chaos.
format Preprint
id arxiv_https___arxiv_org_abs_2511_02041
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nonequilibrium Macroscopic Response Relations for Counting Statistics
Zheng, Jiming
Lu, Zhiyue
Statistical Mechanics
Understanding how macroscopic nonequilibrium systems respond to changes in external or internal parameters remains a fundamental challenge in physics. In this work, we report a parameter transitional symmetry valid for macroscopic dynamics arbitrarily far from equilibrium. The symmetry leads to exact response relations and gives meaningful expansions in both linear and short-time regimes. This framework provides a universal description of macroscopic response phenomena arbitrarily far from equilibrium - including non-stationary processes and time-dependent attractors. The theory is validated and demonstrated numerically using the Willamowski-Rossler model, which exhibits rich dynamical behaviors including limit cycles and chaos.
title Nonequilibrium Macroscopic Response Relations for Counting Statistics
topic Statistical Mechanics
url https://arxiv.org/abs/2511.02041