Gaussian estimates for symmetric simple exclusion processes
Probability
2007-05-23 v1
Abstract
We prove Gaussian tail estimates for the transition probability of particles evolving as symmetric exclusion processes on , 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.
Cite
@article{arxiv.math/0505089,
title = {Gaussian estimates for symmetric simple exclusion processes},
author = {C. Landim},
journal= {arXiv preprint arXiv:math/0505089},
year = {2007}
}