On the classification of Markov chains via occupation measures
Volume 27 / 2000
Applicationes Mathematicae 27 (2000), 489-498
DOI: 10.4064/am-27-4-489-498
Abstract
We consider a Markov chain on a locally compact separable metric space $X$ and with a unique invariant probability. We show that such a chain can be classified into two categories according to the type of convergence of the expected occupation measures. Several properties in each category are investigated.
