Effective diffusion of Brownian motion in spatially quasi-periodic noise

Fuente: arXiv
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Main Authors: Yang, Sang, Peng, Zhixin
Format: Preprint
Published: 2025
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_version_ 1866914267847983104
author Yang, Sang
Peng, Zhixin
author_facet Yang, Sang
Peng, Zhixin
contents The effective diffusion of Brownian particles in periodic potential has been a central topic in nonequilibrium statistical physcis. A classical result is the Lifson formula which provides the effective diffusion constant in periodic potentials. Extending beyong periodicity, our recent work [arXiv:2504.16527] has demonstrated that a modified Lifson expression remains valid for Brownian motion in quasi-periodic potentials. In this work, we extend our previous results by incorporating spatial quasi-periodic noise and examining different stochastic interpretations, $α\in[0,1]$. The proposed framework is simple, computationally efficient, and unifies the treatment of diffusion in both periodic and quasi-periodic systems.
format Preprint
id arxiv_https___arxiv_org_abs_2509_01227
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Effective diffusion of Brownian motion in spatially quasi-periodic noise
Yang, Sang
Peng, Zhixin
Statistical Mechanics
The effective diffusion of Brownian particles in periodic potential has been a central topic in nonequilibrium statistical physcis. A classical result is the Lifson formula which provides the effective diffusion constant in periodic potentials. Extending beyong periodicity, our recent work [arXiv:2504.16527] has demonstrated that a modified Lifson expression remains valid for Brownian motion in quasi-periodic potentials. In this work, we extend our previous results by incorporating spatial quasi-periodic noise and examining different stochastic interpretations, $α\in[0,1]$. The proposed framework is simple, computationally efficient, and unifies the treatment of diffusion in both periodic and quasi-periodic systems.
title Effective diffusion of Brownian motion in spatially quasi-periodic noise
topic Statistical Mechanics
url https://arxiv.org/abs/2509.01227