Gaussian estimates for symmetric simple exclusion processes

C. Landim

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Gaussian estimates for symmetric simple exclusion processes

C. Landim

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Abstract

We prove Gaussian tail estimates for the transition probability of $n$ particles evolving as symmetric exclusion processes on $\bb Z^d$, improving results obtained in \cite{l}. We derive from this result a non-equilibrium Boltzmann-Gibbs principle for the symmetric simple exclusion process in dimension 1 starting from a product measure with slowly varying parameter.

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C. Landim. 2005-05-05. Gaussian estimates for symmetric simple exclusion processes. https://arxiv.org/abs/math/0505089

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