Abstract
The structure of Markov chains is essentially probabilistic, as we have described it so far. In examining the stability properties of Markov chains, the context we shall most frequently use is also a probabilistic one: in Part II, stability properties such as recurrence or regularity will be defined as certain return to sets of positive ψ-measure, or as finite mean return times to petite sets, and so forth.
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© 1993 Springer-Verlag London Limited
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Meyn, S.P., Tweedie, R.L. (1993). Topology and Continuity. In: Markov Chains and Stochastic Stability. Communications and Control Engineering Series. Springer, London. https://doi.org/10.1007/978-1-4471-3267-7_6
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DOI: https://doi.org/10.1007/978-1-4471-3267-7_6
Publisher Name: Springer, London
Print ISBN: 978-1-4471-3269-1
Online ISBN: 978-1-4471-3267-7
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