On Pólya-Young urn models and growth processes

Fuente: arXiv
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Autor principal: Kuba, Markus
Formato: Preprint
Publicado: 2024
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author Kuba, Markus
author_facet Kuba, Markus
contents This work is devoted to Pólya-Young urns, a class of periodic Pólya urns of importance in the analysis of Young tableaux. We provide several extension of the previous results of Banderier, Marchal and Wallner [Ann. Prob. (2020)] on Pólya-Young urns and also generalize the previously studied model. We determine the limit law of the generalized model, involving the the local time of noise-reinforced Bessel processes. We also uncover a martingale structure, which leads directly to almost-sure convergence of the random variable of interest. This allows us to add second order asymptotics by providing a central limit theorem for the martingale tail sum, as well as a law of the iterated logarithm. We also turn to random vectors and obtain the limit law of Pólya-Young urns with multiple colors. Additionally, we introduce several growth processes and combinatorial objects, which are closely related to urn models. We define increasing trees with periodic immigration and we related the dynamics of the Pólya-Young urns to label-based parameters in such tree families. Furthermore, we discuss a generalization of Stirling permutations and obtain a bijection to increasing trees with periodic immigration. Finally, we introduce a chinese restaurant process with competition and relate it to increasing trees, as well as Pólya-Young urns.
format Preprint
id arxiv_https___arxiv_org_abs_2406_19110
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On Pólya-Young urn models and growth processes
Kuba, Markus
Probability
Combinatorics
60F05, 60C05, 60G42
This work is devoted to Pólya-Young urns, a class of periodic Pólya urns of importance in the analysis of Young tableaux. We provide several extension of the previous results of Banderier, Marchal and Wallner [Ann. Prob. (2020)] on Pólya-Young urns and also generalize the previously studied model. We determine the limit law of the generalized model, involving the the local time of noise-reinforced Bessel processes. We also uncover a martingale structure, which leads directly to almost-sure convergence of the random variable of interest. This allows us to add second order asymptotics by providing a central limit theorem for the martingale tail sum, as well as a law of the iterated logarithm. We also turn to random vectors and obtain the limit law of Pólya-Young urns with multiple colors. Additionally, we introduce several growth processes and combinatorial objects, which are closely related to urn models. We define increasing trees with periodic immigration and we related the dynamics of the Pólya-Young urns to label-based parameters in such tree families. Furthermore, we discuss a generalization of Stirling permutations and obtain a bijection to increasing trees with periodic immigration. Finally, we introduce a chinese restaurant process with competition and relate it to increasing trees, as well as Pólya-Young urns.
title On Pólya-Young urn models and growth processes
topic Probability
Combinatorics
60F05, 60C05, 60G42
url https://arxiv.org/abs/2406.19110