Sharp approximations for the stationary measures of the open ASEP I: The shock region

We investigate the role of asymmetry in the stationary measures of integrable probabilistic models with boundary interactions. This paper is the first in a series of three focusing on the open asymmetric simple exclusion process (ASEP). The stationary measure of open ASEP admits a two-layer Gibbs representation in which a correction term, which we call the Bryc polynomial, encodes the dependence on the asymmetry parameter. We give a probabilistic interpretation of the Bryc polynomial in terms of a birth-death-type Markov chain. As an application, we obtain sharp total variation approximations of the stationary measure by Bernoulli product measures in the high- and low-density phases of the shock region. These approximations yield further applications, including moderate deviation estimates for the stationary measure of open ASEP, as well as asymptotic results for the related model of open ASEP with light particles.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-27
DOI
https://doi.org/10.48550/arxiv.2610.37639
Primary Topic
Stochastic processes and statistical mechanics
Type
preprint
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preprint

Sharp approximations for the stationary measures of the open ASEP I: The shock region

Dominik Schmid, Zongrui Yang
arXiv (Cornell University)
Stochastic processes and statistical mechanics
preprint

Sharp approximations for the stationary measures of the open ASEP I: The shock region

Dominik Schmid, Zongrui Yang
preprint en

Abstract

We investigate the role of asymmetry in the stationary measures of integrable probabilistic models with boundary interactions. This paper is the first in a series of three focusing on the open asymmetric simple exclusion process (ASEP). The stationary measure of open ASEP admits a two-layer Gibbs representation in which a correction term, which we call the Bryc polynomial, encodes the dependence on the asymmetry parameter. We give a probabilistic interpretation of the Bryc polynomial in terms of a birth-death-type Markov chain. As an application, we obtain sharp total variation approximations of the stationary measure by Bernoulli product measures in the high- and low-density phases of the shock region. These approximations yield further applications, including moderate deviation estimates for the stationary measure of open ASEP, as well as asymptotic results for the related model of open ASEP with light particles.

arXiv (Cornell University)
Stochastic processes and statistical mechanics
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