Ergodicity for countable inhomogeneous Markov chains

AbstractA notion of ergodicity is defined by analogy to homogeneous chains, and a necessary and sufficient condition for it to hold for an inhomogeneous Markov chain is given in terms of matrix products. A comparison to the situation for homogeneous chains is made. A final section discusses the better-known notion of strong ergodicity in relation to the geometric convergence rate