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Stochastic networks with multiple stable points

dc.contributor.authorAntunes, Nelson
dc.contributor.authorFricker, Christine
dc.contributor.authorRobert, Philippe
dc.contributor.authorTibi, Danielle
dc.date.accessioned2018-12-07T14:53:11Z
dc.date.available2018-12-07T14:53:11Z
dc.date.issued2008-01
dc.description.abstractThis paper analyzes stochastic networks consisting of a set of finite capacity sites where different classes of individuals move according to some routing policy. The associated Markov jump processes are analyzed under a thermodynamic limit regime, that is, when the networks have some symmetry properties and when the number of nodes goes to infinity. An intriguing stability property is proved: under some conditions on the parameters, it is shown that, in the limit, several stable equilibrium points coexist for the empirical distribution. The key ingredient of the proof of this property is a dimension reduction achieved by the introduction of two energy functions and a convenient mapping of their local minima and saddle points. Networks with a unique equilibrium point are also presented.
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1214/009117907000000105
dc.identifier.issn0091-1798
dc.identifier.urihttp://hdl.handle.net/10400.1/11389
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Mathematical Statistics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMarkov Random-Fields
dc.subjectMetastability
dc.subjectTree
dc.titleStochastic networks with multiple stable points
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage278
oaire.citation.issue1
oaire.citation.startPage255
oaire.citation.titleAnnals of Probability
oaire.citation.volume36
person.familyNameAntunes
person.givenNameNelson
person.identifier.ciencia-idA31E-F40A-C819
person.identifier.orcid0000-0001-6071-1099
person.identifier.scopus-author-id15063869700
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublicationaea16f78-689b-426f-b6ad-e76e7b3972fe
relation.isAuthorOfPublication.latestForDiscoveryaea16f78-689b-426f-b6ad-e76e7b3972fe

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