Poisson-Dirichlet asymptotics in condensing particle systems
Probability
2023-03-06 v2 Statistical Mechanics
Mathematical Physics
math.MP
Abstract
We study measures on random partitions, arising from condensing stochastic particle systems with stationary product distributions. We provide fairly general conditions on the stationary weights, which lead to Poisson-Dirichlet statistics of the condensed phase in the thermodynamic limit. The Poisson-Dirichlet distribution is known to be the unique reversible measure of split-merge dynamics for random partitions, which we use to characterize the limit law. We also establish concentration results for the macroscopic phase, using size-biased sampling techniques and the equivalence of ensembles to characterize the bulk distribution of the system.
Cite
@article{arxiv.2106.09625,
title = {Poisson-Dirichlet asymptotics in condensing particle systems},
author = {Paul Chleboun and Simon Gabriel and Stefan Grosskinsky},
journal= {arXiv preprint arXiv:2106.09625},
year = {2023}
}
Comments
39 pages, Accepted for publication in Electron. J. Probab