2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/71204We build optimal exponential bounds for the probabilities of large deviations of sums \sum_{k=1}^nf(X_k) where (X_k) is a finite reversible Markov chain and f is an arbitrary bounded function. These bounds depend only on the stationary mean E_πf, the end-points of the support of f, the sample size n and the second largest eigenvalue λof the transition matrix.Probability65C05. (Primary)Optimal Hoeffding bounds for discrete reversible Markov chainstext