Asymptotics of certain coagulation-fragmentation processes and invariant Poisson-Dirichlet measures

dc.creatorMayer-Wolf, Eddy
dc.creatorZeitouni, Ofer
dc.creatorZerner, Martin P. W.
dc.date2001-05-13
dc.date.accessioned2026-07-07T04:41:41Z
dc.date.available2026-07-07T04:41:41Z
dc.descriptionWe consider Markov chains on the space of (countable) partitions of the interval $[0,1]$, obtained first by size biased sampling twice (allowing repetitions) and then merging the parts with probability $β_m$ (if the sampled parts are distinct) or splitting the part with probability $β_s$ according to a law $σ$ (if the same part was sampled twice). We characterize invariant probability measures for such chains. In particular, if $σ$ is the uniform measure then the Poisson-Dirichlet law is an invariant probability measure, and it is unique within a suitably defined class of ``analytic'' invariant measures. We also derive transience and recurrence criteria for these chains.
dc.identifierhttps://arxiv.org/abs/math/0105111
dc.identifierhttp://arxiv.org/abs/math/0105111
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/61464
dc.subjectProbability
dc.subject60K35; 60J27; 60G55
dc.titleAsymptotics of certain coagulation-fragmentation processes and invariant Poisson-Dirichlet measures
dc.typetext

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