{ "id": "math/0512378", "version": "v2", "published": "2005-12-15T20:13:02.000Z", "updated": "2006-11-14T07:23:49.000Z", "title": "Gibbs distributions for random partitions generated by a fragmentation process", "authors": [ "Nathanael Berestycki", "Jim Pitman" ], "comment": "38 pages, 2 figures, version considerably modified. To appear in the Journal of Statistical Physics", "categories": [ "math.PR", "cond-mat.stat-mech", "math.CO" ], "abstract": "In this paper we study random partitions of 1,...n, where every cluster of size j can be in any of w\\_j possible internal states. The Gibbs (n,k,w) distribution is obtained by sampling uniformly among such partitions with k clusters. We provide conditions on the weight sequence w allowing construction of a partition valued random process where at step k the state has the Gibbs (n,k,w) distribution, so the partition is subject to irreversible fragmentation as time evolves. For a particular one-parameter family of weight sequences w\\_j, the time-reversed process is the discrete Marcus-Lushnikov coalescent process with affine collision rate K\\_{i,j}=a+b(i+j) for some real numbers a and b. Under further restrictions on a and b, the fragmentation process can be realized by conditioning a Galton-Watson tree with suitable offspring distribution to have n nodes, and cutting the edges of this tree by random sampling of edges without replacement, to partition the tree into a collection of subtrees. Suitable offspring distributions include the binomial, negative binomial and Poisson distributions.", "revisions": [ { "version": "v2", "updated": "2006-11-14T07:23:49.000Z" } ], "analyses": { "subjects": [ "60J10", "60K35", "05A15", "05A19" ], "keywords": [ "random partitions", "fragmentation process", "gibbs distributions", "suitable offspring distribution", "weight sequence" ], "note": { "typesetting": "TeX", "pages": 38, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2005math.....12378B" } } }