Poisson Hypothesis for Information Networks II. Cases of Violations and Phase Transitions

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dc.creatorRybko, Alexander
dc.creatorShlosman, Senya
dc.date2004-10-25
dc.date.accessioned2026-07-07T04:31:34Z
dc.date.available2026-07-07T04:31:34Z
dc.descriptionWe present examples of queuing networks that never come to equilibrium. That is achieved by constructing Non-linear Markov Processes, which are non-ergodic, and possess eternal transience property.
dc.identifierhttps://arxiv.org/abs/math-ph/0410053
dc.identifierhttp://arxiv.org/abs/math-ph/0410053
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/57863
dc.subjectMathematical Physics
dc.subject82C20; 60J25
dc.titlePoisson Hypothesis for Information Networks II. Cases of Violations and Phase Transitions
dc.typetext

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