Smoothing equations for large P\'olya urns
Brigitte Chauvin, C\'ecile Mailler, Nicolas Pouyanne

TL;DR
This paper investigates the distributional properties of limits in large two-color Pólya urns, deriving unique solutions to associated distributional equations, and establishing moment bounds, support, and density characteristics.
Contribution
It introduces a novel approach using smoothing transforms to characterize the distributions of urn limit variables WDT and WCT, proving their uniqueness and moment-determinacy.
Findings
WDT and WCT are unique solutions to distributional systems.
WDT has support on the entire real line and a continuous density.
Moment bounds and moment-determinacy of WDT and WCT are established.
Abstract
Consider a balanced non triangular two-color P\'olya-Eggenberger urn process, assumed to be large which means that the ratio sigma of the replacement matrix eigenvalues satisfies 1/2<sigma <1. The composition vector of both discrete time and continuous time models admits a drift which is carried by the principal direction of the replacement matrix. In the second principal direction, this random vector admits also an almost sure asymptotics and a real-valued limit random variable arises, named WDT in discrete time and WCT in continous time. The paper deals with the distributions of both W. Appearing as martingale limits, known to be nonnormal, these laws remain up to now rather mysterious. Exploiting the underlying tree structure of the urn process, we show that WDT and WCT are the unique solutions of two distributional systems in some suitable spaces of integrable probability…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Markov Chains and Monte Carlo Methods
