First-passage resetting gas

We study a one-dimensional gas of N Brownian particles that diffuse independently but are simultaneously reset whenever any of them reaches a fixed threshold located at $L > 0$ . For any $N > 2$ , the system reaches a nonequilibrium stationary state (NESS) at long-times with strong long-range correlations. These correlations emerge purely from the dynamics, and not from built-in interactions. Despite being strongly correlated, the NESS has a solvable conditionally independent structure that allows for an exact computation of several physical observables, both global and local. These include the average density profile, the distribution of the position of the k-th ordered particles, the distribution of the gap between two consecutive particles and the full counting statistics, i.e., the distribution of the number of particles in a finite interval around the origin. This system is the first example of a conditionally independent structure where the conditioning distribution is explicitly dependent on N.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-16
DOI
https://doi.org/10.1209/0295-5075/ae3f4f/pdf
Primary Topic
Diffusion and Search Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

First-passage resetting gas

Marco Biroli, Grégory Schehr, Satya N. Majumdar
Springer Link (Chiba Institute of Technology)
Diffusion and Search Dynamics
article

First-passage resetting gas

Marco Biroli, Grégory Schehr, Satya N. Majumdar
article en

Abstract

We study a one-dimensional gas of N Brownian particles that diffuse independently but are simultaneously reset whenever any of them reaches a fixed threshold located at $L > 0$ . For any $N > 2$ , the system reaches a nonequilibrium stationary state (NESS) at long-times with strong long-range correlations. These correlations emerge purely from the dynamics, and not from built-in interactions. Despite being strongly correlated, the NESS has a solvable conditionally independent structure that allows for an exact computation of several physical observables, both global and local. These include the average density profile, the distribution of the position of the k-th ordered particles, the distribution of the gap between two consecutive particles and the full counting statistics, i.e., the distribution of the number of particles in a finite interval around the origin. This system is the first example of a conditionally independent structure where the conditioning distribution is explicitly dependent on N.

Springer Link (Chiba Institute of Technology)
Agence Nationale de la Recherche
Sustainable cities and communities
Openalex Percentile: Top 53%
Diffusion and Search Dynamics
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