Reducing mean first passage times with intermittent confining potentials: a realization of resetting processes
Gabriel Mercado-V\'asquez, Denis Boyer, and Satya N. Majumdar

TL;DR
This paper investigates a physically realizable intermittent confining potential protocol for Brownian particles that optimizes mean first passage times, revealing phase transition behavior and non-equilibrium stationary states.
Contribution
It introduces a novel intermittent potential switching protocol that can be experimentally implemented, showing rich optimization and phase transition phenomena in search processes.
Findings
Intermittent switching reduces mean first passage time below Kramer's time.
A continuous phase transition occurs in optimal switching rates as potential stiffness varies.
Potential intermittency enhances target encounter efficiency for stiff potentials.
Abstract
During a random search, resetting the searcher's position from time to time to the starting point often reduces the mean completion time of the process. Although many different resetting models have been studied over the past ten years, only a few can be physically implemented. Here we study theoretically a protocol that can be realised experimentally and which exhibits unusual optimization properties. A Brownian particle is subject to an arbitrary confining potential which is switched on and off intermittently at fixed rates. Motion is constrained between an absorbing wall located at the origin and a reflective wall. When the walls are sufficiently far apart, the interplay between free diffusion during the "off" phases and attraction toward the potential minimum during the "on" phases gives rise to rich behaviours, not observed in ideal resetting models. For potentials of the…
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Taxonomy
TopicsDiffusion and Search Dynamics
