2004
DOI: 10.1002/rsa.20020
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Reversible coagulation–fragmentation processes and random combinatorial structures: Asymptotics for the number of groups

Abstract: The equilibrium distribution of a reversible coagulation‐fragmentation process (CFP) and the joint distribution of components of a random combinatorial structure (RCS) are given by the same probability measure on the set of partitions. We establish a central limit theorem for the number of groups (= components) in the case a(k) = qkp−1, k ≥ 1, q, p > 0, where a(k), k ≥ 1, is the parameter function that induces the invariant measure. The result obtained is compared with the ones for logarithmic RCS's and for RC… Show more

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Cited by 12 publications
(35 citation statements)
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“…It has been recently understood (see [8,21]) that the three main types of decomposable random structures: assemblies, multisets and selections, are induced by a class of probability measures on the set of integer partitions, having a multiplicative form. Vershik [21] calls the measures multiplicative, while Pitman [5,18] refers to them as Gibbs partitions.…”
Section: A Unified Probabilistic Representation For Decomposable Combmentioning
confidence: 99%
“…It has been recently understood (see [8,21]) that the three main types of decomposable random structures: assemblies, multisets and selections, are induced by a class of probability measures on the set of integer partitions, having a multiplicative form. Vershik [21] calls the measures multiplicative, while Pitman [5,18] refers to them as Gibbs partitions.…”
Section: A Unified Probabilistic Representation For Decomposable Combmentioning
confidence: 99%
“…Proposition 1. Let F be defined by (7) and condition (8) holds. If ρ 1 < 1 then F is analytic in the disk |z| < ρ 1 and has a singularity at ρ = ρ 1 .…”
Section: The Case Considered In This Notementioning
confidence: 99%
“…To approximate σ n = log y + δ n in the case considered, it is necessary to analyze the equation The Poisson summation formula as used in the proof of Lemma 4 of [12] shows that for l > −1, n j=1 j l e −jδn = Γ(l + 1)δ −l−1 n + C l + O(δ n ), (4.2) where in the case l > 0 the constant C l can be found explicitly:…”
Section: Explicit Asymptotic Formulae For Enumeration Of Expansive Mumentioning
confidence: 99%
“…The Poisson summation formula as used in the proof of Lemma 4 of [12] shows that for l > −1, n j=1 j l e −jδn = Γ(l + 1)δ −l−1…”
Section: Explicit Asymptotic Formulae For Enumeration Of Expansive Mumentioning
confidence: 99%