A quantitative central limit theorem for the simple symmetric exclusion process

A quantitative central limit theorem for the simple symmetric exclusion process (SSEP) on the d-dimensional discrete torus is proven. The argument is based on the comparison of the generators of the density fluctuation field of the SSEP and the generalized Ornstein–Uhlenbeck process, as well as on an infinite-dimensional Berry–Essen bound for the initial particle fluctuations. In turn, this relies on regularity estimates for the Ornstein–Uhlenbeck process, and higher-order correlations of the SSEP. The obtained rate of convergence is optimal.

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Publication Details

Journal
The Annals of Probability
Published
2026-10-15
DOI
https://doi.org/10.1214/26-aop1844
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
0.00

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article

A quantitative central limit theorem for the simple symmetric exclusion process

Vitalii Konarovskyi, Benjamin Gess
The Annals of Probability
Stochastic processes and statistical mechanics
article

A quantitative central limit theorem for the simple symmetric exclusion process

Vitalii Konarovskyi, Benjamin Gess
article en

Abstract

A quantitative central limit theorem for the simple symmetric exclusion process (SSEP) on the d-dimensional discrete torus is proven. The argument is based on the comparison of the generators of the density fluctuation field of the SSEP and the generalized Ornstein–Uhlenbeck process, as well as on an infinite-dimensional Berry–Essen bound for the initial particle fluctuations. In turn, this relies on regularity estimates for the Ornstein–Uhlenbeck process, and higher-order correlations of the SSEP. The obtained rate of convergence is optimal.

The Annals of ProbabilityVol. 54(6)
Technische Universität Berlin (DE)
European Commission, Deutsche Forschungsgemeinschaft, Max-Planck-Gesellschaft, Max-Planck-Institut für Mathematik in den Naturwissenschaften
Openalex Percentile: Top 94%
Stochastic processes and statistical mechanics
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