Subgeometric ergodicity of strong Markov processes

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dc.creatorFort, G.
dc.creatorRoberts, G. O.
dc.date2005-05-12
dc.date.accessioned2026-07-07T05:19:51Z
dc.date.available2026-07-07T05:19:51Z
dc.descriptionWe derive sufficient conditions for subgeometric f-ergodicity of strongly Markovian processes. We first propose a criterion based on modulated moment of some delayed return-time to a petite set. We then formulate a criterion for polynomial f-ergodicity in terms of a drift condition on the generator. Applications to specific processes are considered, including Langevin tempered diffusions on R^n and storage models.
dc.descriptionPublished at http://dx.doi.org/10.1214/105051605000000115 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0505260
dc.identifierhttp://arxiv.org/abs/math/0505260
dc.identifierAnnals of Applied Probability 2005, Vol. 15, No. 2, 1565-1589
dc.identifierdoi:10.1214/105051605000000115
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/75177
dc.subjectProbability
dc.subject60J25 (Primary) 60J60, 60K30. (Secondary)
dc.titleSubgeometric ergodicity of strong Markov processes
dc.typetext

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