Lower Bound on Total Variation Distance

This lecture covers the lower bound on the total variation distance in ergodic Markov chains with finite state space and detailed balance. It explores the quest for a matching lower bound under various assumptions and additional conditions, providing theorems and proofs. The lecture concludes with examples of cyclic random walks and their implications on mixing time.