Stochastic resetting and first arrival subjected to Gaussian noise and Poisson white noise
Koushik Goswami, Rajarshi Chakrabarti

TL;DR
This paper analyzes the dynamics of an overdamped Brownian particle under Poissonian stochastic resetting in a nonthermal bath with Gaussian and Poisson white noise, deriving exact steady-state distributions and optimizing first-arrival times.
Contribution
It provides an exact analytical expression for the steady-state distribution under combined noises and investigates optimal resetting rates to minimize first-arrival times in a nonequilibrium environment.
Findings
Steady-state distribution is double exponential, unlike thermal bath cases.
Existence of an optimal resetting rate that minimizes mean first-arrival time.
The formalism generalizes diffusion-limited reactions with resetting in nonequilibrium baths.
Abstract
We study the dynamics of an overdamped Brownian particle subjected to Poissonian stochastic resetting in a nonthermal bath, characterized by a Poisson white noise and a Gaussian noise. Applying the renewal theory we find an exact analytical expression for the spatial distribution at the steady state. Unlike the single exponential distribution as observed in the case of a purely thermal bath, the distribution is double exponential. Relaxation of the transient spatial distributions to the stationary one, for the limiting cases of Poissonian rate, is investigated carefully. In addition, we study the first-arrival properties of the system in the presence of a delta-function sink with strength , where and correspond to fully nonreactive and fully reactive sinks, respectively. We explore the effect of two competitive mechanisms: the diffusive spread in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
