Resetting Induces Memory Loss in Non-Markovian Processes

Fuente: arXiv
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Autores principales: Saha, Debasish, Sharma, Rati
Formato: Preprint
Publicado: 2025
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author Saha, Debasish
Sharma, Rati
author_facet Saha, Debasish
Sharma, Rati
contents Stochastic resetting is a powerful strategy known to accelerate the first-passage time statistics of stochastic processes. While its effects on Markovian systems are well understood, a general framework for non-Markovian dynamics is still lacking, mostly due to its mathematical complexity. Here, we present an analytical and numerical framework to study non-Markovian processes under resetting, focusing on the first-passage properties of escape kinetics from metastable states. We show that resetting disrupts the inherent time correlation, inducing Markovianity, thereby leading to an efficient escape mechanism. This work, therefore, provides a much needed theoretical approach for incorporating resetting into complex chemical and biological processes, which follow non-Markovian dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2509_11608
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Resetting Induces Memory Loss in Non-Markovian Processes
Saha, Debasish
Sharma, Rati
Statistical Mechanics
Soft Condensed Matter
Stochastic resetting is a powerful strategy known to accelerate the first-passage time statistics of stochastic processes. While its effects on Markovian systems are well understood, a general framework for non-Markovian dynamics is still lacking, mostly due to its mathematical complexity. Here, we present an analytical and numerical framework to study non-Markovian processes under resetting, focusing on the first-passage properties of escape kinetics from metastable states. We show that resetting disrupts the inherent time correlation, inducing Markovianity, thereby leading to an efficient escape mechanism. This work, therefore, provides a much needed theoretical approach for incorporating resetting into complex chemical and biological processes, which follow non-Markovian dynamics.
title Resetting Induces Memory Loss in Non-Markovian Processes
topic Statistical Mechanics
Soft Condensed Matter
url https://arxiv.org/abs/2509.11608