This paper considers the speed of convergence (mixing) of a finite Markov kernel P with respect to the Kullback-Leibler divergence (entropy). Given a Markov kernel one defines either a discrete-time Markov chain (with the n-step transition kernel given by the matrix power P^n) or a continuous-time Markov process (with the... Show more