A note on the attractor-property of infinite-state Markov chains |
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Authors: | Christel Baier |
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Affiliation: | a Universität Bonn, Institut für Informatik I, Germany b Lab. Specification & Verification, CNRS UMR 8643 & ENS de Cachan, France |
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Abstract: | In the past 5 years, a series of verification algorithms has been proposed for infinite Markov chains that have a finite attractor, i.e., a set that will be visited infinitely often almost surely starting from any state. In this paper, we establish a sufficient criterion for the existence of an attractor. We show that if the states of a Markov chain can be given levels (positive integers) such that the expected next level for states at some level n>0 is less than n−Δ for some positive Δ, then the states at level 0 constitute an attractor for the chain. As an application, we obtain a direct proof that some probabilistic channel systems combining message losses with duplication and insertion errors have a finite attractor. |
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Keywords: | Theory of computation Attractors in Markov chains Verification of probabilistic systems Lossy channel systems |
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