Memory-induced active particle ratchets: Mean currents and large deviations

Fuente: arXiv
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Main Authors: Pamulaparthy, Venkata D., Harris, Rosemary J.
Format: Preprint
Published: 2026
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author Pamulaparthy, Venkata D.
Harris, Rosemary J.
author_facet Pamulaparthy, Venkata D.
Harris, Rosemary J.
contents We analyse a continuous-time random walk model with stochastic reversals of direction. There is no external potential but the reorientation mechanism generates a non-zero current from asymmetry in the forward and backward waiting-time distributions (even when they have the same mean); the system can therefore can be considered as a type of active particle ratchet. We derive an explicit expression for the mean ratchet current with exponentially distributed reorientation times and also develop a general renewal-theory framework to obtain the full large deviations, using this to comment on the possibility of dynamical phase transitions.
format Preprint
id arxiv_https___arxiv_org_abs_2602_23327
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Memory-induced active particle ratchets: Mean currents and large deviations
Pamulaparthy, Venkata D.
Harris, Rosemary J.
Statistical Mechanics
We analyse a continuous-time random walk model with stochastic reversals of direction. There is no external potential but the reorientation mechanism generates a non-zero current from asymmetry in the forward and backward waiting-time distributions (even when they have the same mean); the system can therefore can be considered as a type of active particle ratchet. We derive an explicit expression for the mean ratchet current with exponentially distributed reorientation times and also develop a general renewal-theory framework to obtain the full large deviations, using this to comment on the possibility of dynamical phase transitions.
title Memory-induced active particle ratchets: Mean currents and large deviations
topic Statistical Mechanics
url https://arxiv.org/abs/2602.23327