English

Stochastic resetting of a population of random walks with resetting-rate-dependent diffusivity

Statistical Mechanics 2022-09-07 v1

Abstract

We consider the problem of diffusion with stochastic resetting in a population of random walks where the diffusion coefficient is not constant, but behaves as a power-law of the average resetting rate of the population. Resetting occurs only beyond a threshold distance from the origin. This problem is motivated by physical realizations like soft matter under shear, where diffusion of a walk is induced by resetting events of other walks. We first reformulate in the broader context of diffusion with stochastic resetting the so-called H\'ebraud-Lequeux model for plasticity in dense soft matter, in which diffusivity is proportional to the average resetting rate. Depending on parameter values, the response to a weak external field may be either linear or non-linear with a non-zero average position for a vanishing applied field, and the transition between these two regimes may be interpreted as a continuous phase transition. Extending the model by considering a general power-law relation between diffusivity and average resetting rate, we notably find a discontinuous phase transition between a finite diffusivity and a vanishing diffusivity in the small field limit.

Keywords

Cite

@article{arxiv.2205.00817,
  title  = {Stochastic resetting of a population of random walks with resetting-rate-dependent diffusivity},
  author = {Eric Bertin},
  journal= {arXiv preprint arXiv:2205.00817},
  year   = {2022}
}

Comments

12 pages, submitted to special issue of J. Phys. A on "Stochastic Resetting: Theory and Applications"