English

Stochastic gyration driven by dichotomous noises

Statistical Mechanics 2025-12-16 v2

Abstract

We consider stochastic dynamics of a particle on a plane in presence of two noises and a confining parabolic potential - an analog of the experimentally-relevant Brownian Gyrator (BG) model. In contrast to the standard BG model, we suppose here that the time-evolution of the position components is driven not by Gaussian white-noises, but by two statistically-independent dichotomous noises. We calculate analytically the position variances and cross-correlations, as well as the mean angular momentum, which permits us to establish the conditions in which a spontaneous rotational motion of the particle around the origin takes place. We also present a numerical analysis of the mean angular velocity. Lastly, we calculate analytically some marginal position probability density functions revealing a remarkably rich behavior that emerges in such a system of two coupled linear stochastic differential equations. We show that depending on the values of parameters characterizing noises these distributions approach the steady-state forms defined on a finite support, having very unusual shapes, possessing multiple maxima and minima, plateaus and exhibiting a discontinuous behavior.

Keywords

Cite

@article{arxiv.2510.13589,
  title  = {Stochastic gyration driven by dichotomous noises},
  author = {Timothée Herbeau and Leonid Pastur and Pascal Viot and Gleb Oshanin},
  journal= {arXiv preprint arXiv:2510.13589},
  year   = {2025}
}

Comments

45 pages, 18 figures

R2 v1 2026-07-01T06:39:02.630Z