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hal.structure.identifierInstituto de Matémàtica
dc.contributor.authorLOPES, Artur
hal.structure.identifierInstituto de Matematica [Porto Alegre, RS] [IM/UFRGS]
dc.contributor.authorNEUMANN, Adriana
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorTHIEULLEN, Philippe
dc.date.accessioned2024-04-04T02:18:41Z
dc.date.available2024-04-04T02:18:41Z
dc.date.issued2013
dc.identifier.issn0022-4715
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189338
dc.description.abstractEnThrough this paper we analyze the ergodic properties of continuous time Markov chains with values on the one-dimensional spin lattice {1, . . . , d}N (also known as the Bernoulli space). Initially, we consider as the infinitesimal generator the operator L = LA − I, where LA is a discrete time Ruelle operator (transfer operator), and A : {1, . . . , d}N →R is a given fixed Lipschitz function. The associated continuous time stationary Markov chain will define the a priori probability. Given a Lipschitz interaction V : {1, . . . , d}N →R, we are interested in Gibbs (equilibrium) state for such V . This will be another continuous time stationary Markov chain. In order to analyze this problem we will use a continuous time Ruelle operator (transfer operator) naturally associated to V . Among other things we will show that a continuous time Perron-Frobenius Theorem is true in the case V is a Lipschitz function. We also introduce an entropy, which is negative (see also Lopes et al. in Entropy and Variational Principle for one-dimensional Lattice Systems with a general a-priori probability: positive and zero temperature. Arxiv, 2012), and we consider a variational principle of pressure. Finally, we analyze large deviations properties for the empirical measure in the continuous time setting using results by Y. Kifer (Tamsui Oxf. J. Manag. Sci. 321(2):505- 524, 1990). In the last appendix of the paper we explain why the techniques we develop here have the capability to be applied to the analysis of convergence of a certain version of the Metropolis algorithm.
dc.language.isoen
dc.publisherSpringer Verlag
dc.title.enA Thermodynamic Formalism for Continuous Time Markov Chains with Values on the Bernoulli Space: Entropy, Pressure and Large Deviations
dc.typeArticle de revue
dc.identifier.doi10.1007/s10955-013-0796-7
dc.subject.halMathématiques [math]/Systèmes dynamiques [math.DS]
dc.identifier.arxiv1307.0237
bordeaux.journalJournal of Statistical Physics
bordeaux.page894 - 933
bordeaux.volume152
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue5
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00963869
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00963869v1
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