Density and Current Fluctuations for Run-and-Tumble Particles With and Without Interactions

We study density and current fluctuations in a one-dimensional gas of run-and-tumble particles (RTPs), whose intrinsic velocities switch between two opposite values at a constant rate. We consider particles with and without pair interactions, including regularized Riesz gases, and also obtain corresponding results for Brownian particles. By linearizing the Dean-Kawasaki (DK) equations around a homogeneous stationary state, we compute density correlations and the variance of the integrated current through the origin. For repulsive Riesz interactions decaying as $1/|x|^s$ with $s>0$, this variance grows at long times as $t^{1/2}$ for $s>1$, but as $t^{s/(1+s)}$ for $0

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-02
DOI
https://doi.org/10.48550/arxiv.2611.03187
Primary Topic
Stochastic processes and statistical mechanics
Type
preprint
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Density and Current Fluctuations for Run-and-Tumble Particles With and Without Interactions

Grégory Schehr, Léo Touzo, Pierre Le Doussal
arXiv (Cornell University)
Stochastic processes and statistical mechanics
preprint

Density and Current Fluctuations for Run-and-Tumble Particles With and Without Interactions

Grégory Schehr, Léo Touzo, Pierre Le Doussal
preprint en

Abstract

We study density and current fluctuations in a one-dimensional gas of run-and-tumble particles (RTPs), whose intrinsic velocities switch between two opposite values at a constant rate. We consider particles with and without pair interactions, including regularized Riesz gases, and also obtain corresponding results for Brownian particles. By linearizing the Dean-Kawasaki (DK) equations around a homogeneous stationary state, we compute density correlations and the variance of the integrated current through the origin. For repulsive Riesz interactions decaying as $1/|x|^s$ with $s>0$, this variance grows at long times as $t^{1/2}$ for $s>1$, but as $t^{s/(1+s)}$ for $0

arXiv (Cornell University)
Stochastic processes and statistical mechanics
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