Diffusion with partial resetting

Ofir Tal-Friedman, Yael Roichman, Shlomi Reuveni

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Inspired by many examples in nature, stochastic resetting of random processes has been studied extensively in the past decade. In particular, various models of stochastic particle motion were considered where, upon resetting, the particle is returned to its initial position. Here we generalize the model of diffusion with resetting to account for situations where a particle is returned only a fraction of its distance to the origin, e.g., half way. We show that this model always attains a steady-state distribution which can be written as an infinite sum of independent, but not identical, Laplace random variables. As a result, we find that the steady-state transitions from the known Laplace form which is obtained in the limit of full resetting to a Gaussian form, which is obtained close to the limit of no resetting. A similar transition is shown to be displayed by drift diffusion whose steady state can also be expressed as an infinite sum of independent random variables. Finally, we extend our analysis to capture the temporal evolution of drift diffusion with partial resetting, providing a bottom-up probabilistic construction that yields a closed-form solution for the time-dependent distribution of this process in Fourier-Laplace space. Possible extensions and applications of diffusion with partial resetting are discussed.

Original languageEnglish
Article number054116
JournalPhysical Review E
Volume106
Issue number5
DOIs
StatePublished - Nov 2022

Funding

FundersFunder number
Horizon 2020 Framework Programme
European Research Council
Israel Science Foundation394/19
Horizon 2020947731, 385/21, 988/17

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