Space-dependent diffusion with stochastic resetting: A first-passage study
Somrita Ray

TL;DR
This paper analytically investigates how stochastic resetting affects the first-passage properties of space-dependent diffusion in a linear potential, revealing dynamical transitions and a resetting transition at a critical parameter value.
Contribution
It provides exact analytical expressions for survival probability and first-passage time distribution in a space-dependent diffusion model with resetting, highlighting phase transitions based on system parameters.
Findings
Resetting accelerates first-passage for certain parameter ranges.
A phase transition at parameter value ν=3 determines whether resetting hinders or helps first-passage.
The system exhibits dynamical transitions depending on the interplay of drift and diffusion.
Abstract
We explore the effect of stochastic resetting on the first-passage properties of space-dependent diffusion in presence of a constant bias. In our analytically tractable model system, a particle diffusing in a linear potential with a spatially varying diffusion coefficient undergoes stochastic resetting, i.e., returns to its initial position at random intervals of time, with a constant rate . Considering an absorbing boundary placed at , we first derive an exact expression of the survival probability of the diffusing particle in the Laplace space and then explore its first-passage to the origin as a limiting case of that general result. In the limit , we derive an exact analytic expression for the first-passage time distribution of the underlying process. Once resetting is introduced, the system is observed to exhibit a series…
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