Modified log-Sobolev inequalities for strongly log-concave distributions

Published 14 Mar 2019 in math.PR, cs.DS, and math.CO | (1903.06081v4)

Abstract: We show that the modified log-Sobolev constant for a natural Markov chain which converges to an $r$-homogeneous strongly log-concave distribution is at least $1/r$. Applications include a sharp mixing time bound for the bases-exchange walk for matroids, and a concentration bound for Lipschitz functions over these distributions.

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