Open Access
2022 Poisson-Dirichlet asymptotics in condensing particle systems
Paul Chleboun, Simon Gabriel, Stefan Grosskinsky
Author Affiliations +
Electron. J. Probab. 27: 1-35 (2022). DOI: 10.1214/22-EJP882

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.

Funding Statement

S. Gabriel acknowledges financial support from EPSRC through grant EP/R513374/1.

Acknowledgments

S. Grosskinsky is grateful to Technical University of Delft, where part of this research was carried out. The authors thank the anonymous referees for valuable comments.

Citation

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Paul Chleboun. Simon Gabriel. Stefan Grosskinsky. "Poisson-Dirichlet asymptotics in condensing particle systems." Electron. J. Probab. 27 1 - 35, 2022. https://doi.org/10.1214/22-EJP882

Information

Received: 29 June 2021; Accepted: 9 November 2022; Published: 2022
First available in Project Euclid: 1 December 2022

MathSciNet: MR4516309
zbMATH: 1515.60303
Digital Object Identifier: 10.1214/22-EJP882

Subjects:
Primary: 60K35
Secondary: 82C22 , 82C26

Keywords: Condensation , equivalence of ensembles , interacting particle systems , Poisson-Dirichlet distribution , Random partitions , split-merge dynamics

Vol.27 • 2022
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