Table of Contents
Fetching ...

Nonequilibrium Macroscopic Response Relations for Counting Statistics

Jiming Zheng, Zhiyue Lu

Abstract

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.

Nonequilibrium Macroscopic Response Relations for Counting Statistics

Abstract

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.

Paper Structure

This paper contains 3 sections, 27 equations, 3 figures.

Figures (3)

  • Figure 1: Parameter translational symmetry between macroscopic fluctuating trajectories generated with different dynamical parameters.
  • Figure 2: Stochastic trajectories of the Willamowski-Rössler model. (a) Limit cycle attractor. (b) Chaotic (strange) attractor.
  • Figure 3: Numerical validation of the macroscopic response relations. (a-d) The positivity of the response measure $\mathscr{R}(t)$ (\ref{['eq: second law like']}) for limit cycle (a,b) and chaotic (c,d) attractors under different perturbations. (e-h) The time evolution of the normalized mean currents $\langle\iota_{\rho}\rangle/R_{\rho}$ (\ref{['eq: steady-state relation']}), showing convergence to a common value $t$ in the steady state for both limit cycles (e,f) and chaos (g,h). (f) and (h) are obtained after pre-equilibration time $t_\text{pre-eq} = 10$. Color legend: red for $\rho = 1$, orange for $\rho = 2$, yellow for $\rho = 3$, green for $\rho = 4$, blue for $\rho = 5$, brown for $\rho = -1$, purple for $\rho = -5$.