Ergodicity of Markov chains in random environments
Ergodicity of Markov chains in random environments
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Balázs Gerencser, Alfréd Rényi Institute of Mathematics
Fine Hall 401
We study the ergodic behavior of Markov chains on general state space, where the dynamics is not homogeneous in time, but rather driven by some background stationary process. We formulate conditions which guarantee the ergodicity of such compound processes, waking sure they are verifiable but not overly restrictive.
Joint work with Miklós Rásonyi.