December 2024 A two-table theorem for a disordered Chinese restaurant process
Jakob E. Björnberg, Cécile Mailler, Peter Mörters, Daniel Ueltschi
Author Affiliations +
Ann. Appl. Probab. 34(6): 5809-5841 (December 2024). DOI: 10.1214/24-AAP2108

Abstract

We investigate a disordered variant of Pitman’s Chinese restaurant process where tables carry i.i.d. weights. Incoming customers choose to sit at an occupied table with a probability proportional to the product of its occupancy and its weight, or they sit at an unoccupied table with a probability proportional to a parameter θ>0. This is a system out of equilibrium where the proportion of customers at any given table converges to zero almost surely. We show that for weight distributions in any of the three extreme value classes, Weibull, Gumbel or Fréchet, the proportion of customers sitting at the largest table converges to one in probability, but not almost surely, and the proportion of customers sitting at either of the largest two tables converges to one almost surely.

Funding Statement

The research of JEB was supported by Vetenskapsrådet, grant 2019-04185, by Ruth och Nils Erik Stenbäcks stiftelse, and by the Sabbatical Program at the Faculty of Science, University of Gothenburg.

Acknowledgments

The authors would like to thank three anonymous reviewers for valuable comments which helped improve the paper.

Citation

Download Citation

Jakob E. Björnberg. Cécile Mailler. Peter Mörters. Daniel Ueltschi. "A two-table theorem for a disordered Chinese restaurant process." Ann. Appl. Probab. 34 (6) 5809 - 5841, December 2024. https://doi.org/10.1214/24-AAP2108

Information

Received: 1 March 2023; Revised: 1 May 2024; Published: December 2024
First available in Project Euclid: 15 December 2024

Digital Object Identifier: 10.1214/24-AAP2108

Subjects:
Primary: 60K37
Secondary: 60F15 , 60G70 , 60J10 , 60K35

Keywords: almost sure limit theorem , Chinese restaurant process , Disorder , Extreme value theory , Nonequilibrium , Poisson limit theorem , random environment , Winner-takes-all

Rights: Copyright © 2024 Institute of Mathematical Statistics

Vol.34 • No. 6 • December 2024
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