Gaussian estimates for symmetric simple exclusion processes

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dc.creatorLandim, C.
dc.date2005-05-05
dc.date.accessioned2026-07-07T05:19:39Z
dc.date.available2026-07-07T05:19:39Z
dc.descriptionWe 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.
dc.identifierhttps://arxiv.org/abs/math/0505089
dc.identifierhttp://arxiv.org/abs/math/0505089
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/75095
dc.subjectProbability
dc.titleGaussian estimates for symmetric simple exclusion processes
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