Stationary Fluctuations of Run-and-Tumble Particles

We study the stationary fluctuations of independent run-and-tumble particles. We prove that the joint densities of particles with given internal state converges to an infinite dimensional Ornstein-Uhlenbeck process. We also consider an interacting case, where the particles are subjected to exclusion. We then study the fluctuations of the total density, which is a non-Markovian Gaussian process, and obtain its covariance in closed form. By considering small noise limits of this non-Markovian Gaussian process, we obtain in a concrete example a large deviation rate function containing memory terms.

Authors

Publication Details

Journal
Markov Processes And Related Fields
Published
2024-08-26
DOI
https://doi.org/10.61102/1024-2953-mprf.2024.30.2.003
Citations
2
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
1.78
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article

Stationary Fluctuations of Run-and-Tumble Particles

Hidde van Wiechen, F. Redig
2 citations
Markov Processes And Related Fields
Stochastic processes and statistical mechanics
1.78
article

Stationary Fluctuations of Run-and-Tumble Particles

Hidde van Wiechen, F. Redig
article en
2 citations

Abstract

We study the stationary fluctuations of independent run-and-tumble particles. We prove that the joint densities of particles with given internal state converges to an infinite dimensional Ornstein-Uhlenbeck process. We also consider an interacting case, where the particles are subjected to exclusion. We then study the fluctuations of the total density, which is a non-Markovian Gaussian process, and obtain its covariance in closed form. By considering small noise limits of this non-Markovian Gaussian process, we obtain in a concrete example a large deviation rate function containing memory terms.

Markov Processes And Related FieldsVol. 30(2024 №2 (30))
Reduced inequalities
Openalex Percentile: Top 17%
Stochastic processes and statistical mechanics
1.78
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Stationary Fluctuations of Run-and-Tumble Particles — Hidde van Wiechen, F. Redig · Markov Processes And Related Fields (2024) | TGRS Research Map | TGRS