A diffusion approximation for systems with frequent weak resetting

Fuente: arXiv
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Autor principal: Galla, Tobias
Formato: Preprint
Publicado: 2026
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author Galla, Tobias
author_facet Galla, Tobias
contents We develop a diffusion approximation for systems subject to fast random resetting by small amplitudes. Equivalently, this describes systems with frequent but small catastrophes. We demonstrate the validity of the approximation by computing the stationary distribution and mean first-passage times of simple one-dimensional systems. The approximation captures dynamically induced correlations in multi-particle systems, and it can be used to generalise the conditionally independent and identically distributed structure recently found in systems with full resetting. Finally, we show that resetting can induce cycles and patterns, which can be characterised using the diffusion approximation.
format Preprint
id arxiv_https___arxiv_org_abs_2602_21635
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A diffusion approximation for systems with frequent weak resetting
Galla, Tobias
Statistical Mechanics
We develop a diffusion approximation for systems subject to fast random resetting by small amplitudes. Equivalently, this describes systems with frequent but small catastrophes. We demonstrate the validity of the approximation by computing the stationary distribution and mean first-passage times of simple one-dimensional systems. The approximation captures dynamically induced correlations in multi-particle systems, and it can be used to generalise the conditionally independent and identically distributed structure recently found in systems with full resetting. Finally, we show that resetting can induce cycles and patterns, which can be characterised using the diffusion approximation.
title A diffusion approximation for systems with frequent weak resetting
topic Statistical Mechanics
url https://arxiv.org/abs/2602.21635