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A quantitative central limit theorem for the simple symmetric exclusion process

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arxiv 2408.01238 v1 pith:LHKSVNHL submitted 2024-08-02 math.PR

classification math.PR
keywords processcentralexclusionlimitquantitativesimplessepsymmetric
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abstract

A quantitative central limit theorem for the simple symmetric exclusion process (SSEP) on a $d$-dimensional discrete torus is proven. The argument is based on a 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. The obtained rate of convergence is optimal.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Convergence rate for Fluctuations of mean field interacting diffusion and application to 2D viscous Vortex model and Coulomb potential

    math.PR 2025-09 conditional novelty 8.0 of 10

    First quantitative convergence rate for mean-field fluctuation processes: 1/√N for regular drifts, with weaker rates for singular vortex and Coulomb kernels.

  2. Poisson statistics, vanishing correlations, and extremal particle limits for symmetric exclusion in d > 1

    math.PR 2025-01 conditional novelty 7.0 of 10

    For symmetric exclusion on Z^d, d>=2, with step and polynomial-shape initial conditions, particle counts beyond a suitable superdiffusive level are asymptotically Poisson, implying Gumbel limits for the rightmost part...

  3. A consistency-stability approach to scaling limits of zero-range processes

    math.PR 2024-12 reject novelty 7.0 of 10

    A new consistency-stability method yields the first quantitative hydrodynamic limit rates for the genuinely nonlinear symmetric zero-range process in d=1 and d=2.

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