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Trudy Moskovskogo Matematicheskogo Obshchestva, 2021, Volume 82, Issue 1, Pages 105–135
(Mi mmo649)
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This article is cited in 1 scientific paper (total in 1 paper)
On Mealy–Moore coding and images of Markov measures
R. Grigorchuk, R. Kogan, Ya. Vorobets Department of Mathematics Texas A&M University, College Station
Abstract:
We study the images of the Markov measures under transformations generated by the Mealy automata. We find conditions under which the image measure is absolutely continuous or singular relative to the Markov measure. Also, we determine statistical properties of the image of a generic sequence.
Key words and phrases:
Markov measure, Mealy automaton, Moore diagram, regular rooted tree endomorphism, activity growth, pushforward measure, asymptotic frequency.
Received: 08.02.2021
Citation:
R. Grigorchuk, R. Kogan, Ya. Vorobets, “On Mealy–Moore coding and images of Markov measures”, Tr. Mosk. Mat. Obs., 82, no. 1, MCCME, M., 2021, 105–135; Trans. Moscow Math. Soc., 82 (2021), 89–115
Linking options:
https://www.mathnet.ru/eng/mmo649 https://www.mathnet.ru/eng/mmo/v82/i1/p105
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