Foster's theorem, often discussed in the context of stochastic processes and in particular for Markov chains and Markov decision processes, provides insights into the long-term behavior of certain types of random processes. One common application of Foster's theorem is in the study of Markov chains with continuous state spaces. In its simplest form, Foster's theorem relates to the existence of a stationary distribution for a Markov chain.
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