Autonomous Ratcheting by Stochastic Resetting

Fuente: arXiv
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Auteurs principaux: Ghosh, Pulak K., Nayak, Shubhadip, Liu, Jianli, Li, Yunyun, Marchesoni, Fabio
Format: Preprint
Publié: 2023
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author Ghosh, Pulak K.
Nayak, Shubhadip
Liu, Jianli
Li, Yunyun
Marchesoni, Fabio
author_facet Ghosh, Pulak K.
Nayak, Shubhadip
Liu, Jianli
Li, Yunyun
Marchesoni, Fabio
contents We propose a generalization of the stochastic resetting mechanism for a Brownian particle diffusing in a one-dimensional periodic potential: randomly in time, the particle gets reset at the bottom of the potential well it was in. Numerical simulations show that in mirror asymmetric potentials, stochastic resetting rectifies the particle's dynamics, with maximum drift speed for an optimal average resetting time. Accordingly, an unbiased Brownian tracer diffusing on an asymmetric substrate can rectify its motion by adopting an adaptive stop-and-go strategy. Our proposed ratchet mechanism can model directed autonomous motion of molecular motors and micro-organisms
format Preprint
id arxiv_https___arxiv_org_abs_2307_06202
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Autonomous Ratcheting by Stochastic Resetting
Ghosh, Pulak K.
Nayak, Shubhadip
Liu, Jianli
Li, Yunyun
Marchesoni, Fabio
Statistical Mechanics
We propose a generalization of the stochastic resetting mechanism for a Brownian particle diffusing in a one-dimensional periodic potential: randomly in time, the particle gets reset at the bottom of the potential well it was in. Numerical simulations show that in mirror asymmetric potentials, stochastic resetting rectifies the particle's dynamics, with maximum drift speed for an optimal average resetting time. Accordingly, an unbiased Brownian tracer diffusing on an asymmetric substrate can rectify its motion by adopting an adaptive stop-and-go strategy. Our proposed ratchet mechanism can model directed autonomous motion of molecular motors and micro-organisms
title Autonomous Ratcheting by Stochastic Resetting
topic Statistical Mechanics
url https://arxiv.org/abs/2307.06202