Stochastic networks with multiple stable points

Detalhes bibliográficos
Autor(a) principal: Antunes, Nelson
Data de Publicação: 2008
Outros Autores: Fricker, Christine, Robert, Philippe, Tibi, Danielle
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/11389
Resumo: This 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.
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spelling Stochastic networks with multiple stable pointsMarkov Random-FieldsMetastabilityTreeThis 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.Institute of Mathematical StatisticsSapientiaAntunes, NelsonFricker, ChristineRobert, PhilippeTibi, Danielle2018-12-07T14:53:11Z2008-012008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11389eng0091-179810.1214/009117907000000105info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:23:11Zoai:sapientia.ualg.pt:10400.1/11389Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:02:54.507868Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Stochastic networks with multiple stable points
title Stochastic networks with multiple stable points
spellingShingle Stochastic networks with multiple stable points
Antunes, Nelson
Markov Random-Fields
Metastability
Tree
title_short Stochastic networks with multiple stable points
title_full Stochastic networks with multiple stable points
title_fullStr Stochastic networks with multiple stable points
title_full_unstemmed Stochastic networks with multiple stable points
title_sort Stochastic networks with multiple stable points
author Antunes, Nelson
author_facet Antunes, Nelson
Fricker, Christine
Robert, Philippe
Tibi, Danielle
author_role author
author2 Fricker, Christine
Robert, Philippe
Tibi, Danielle
author2_role author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Antunes, Nelson
Fricker, Christine
Robert, Philippe
Tibi, Danielle
dc.subject.por.fl_str_mv Markov Random-Fields
Metastability
Tree
topic Markov Random-Fields
Metastability
Tree
description This 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.
publishDate 2008
dc.date.none.fl_str_mv 2008-01
2008-01-01T00:00:00Z
2018-12-07T14:53:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/11389
url http://hdl.handle.net/10400.1/11389
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0091-1798
10.1214/009117907000000105
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Mathematical Statistics
publisher.none.fl_str_mv Institute of Mathematical Statistics
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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