Mixing and hitting times for finite Markov chains
Let $0<\alpha<1/2$ We show that that the mixing time of a continuous time Markov chain on a finite state space is about as large as the largest expected hitting time of a subset of the state space with stationary measure \geq \alpha$ Suitably modified results hold in discrete time and/or without the reversibility assumption. The key technical tool in the proof is the construction of random set $A$ such that the hitting time of $A$ is a light tailed stationary time for the chain. We note that essentially the same results were obtained independently by Peres and Sousi.