Stochastic gyration driven by dichotomous noises
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.
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