Absolute continuity of Markov chains ergodic measures by Dirichlet forms methods

We study the absolute continuity of ergodic measures of Markov chains $X_{n+1}=F(X_n,Y_{n+1})$ for the discrete case, and $dX_t=b(X_t)dt+\sigma(X_t).dW_t$ for the continuous case. In the discrete case, we provide with a method enabling to deal with the case where the chains has several invariant measures whereas previous works (c.f. \cite{coquio1992calcul,gravereaux1988calcul}) made assumptions of contractivity, and hence unique ergodicity. Besides, the smoothness assumptions on $F$ are weakened. In the continuous case, we make stronger smoothness assumptions than \cite{bogachev2009elliptic}, but non-degeneracy assumptions are strongly weakened. The proofs are based on Dirichlet forms theory, and ergodic theory arguments.

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Source https://hal.science/hal-00690738
Author Poly, Guillaume
Maintainer CCSD
Last Updated May 20, 2026, 23:19 (UTC)
Created May 20, 2026, 23:19 (UTC)
Identifier hal-00690738
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA) ; Université Paris-Est Marne-la-Vallée (UPEM)-Fédération de Recherche Bézout (BEZOUT) ; Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
creator Poly, Guillaume
date 2012-03-01T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-02T00:00:00
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