2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/75095We 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.ProbabilityGaussian estimates for symmetric simple exclusion processestext