  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.
