Open Access
May 2005 Analytic urns
Philippe Flajolet, Joaquim Gabarró, Helmut Pekari
Ann. Probab. 33(3): 1200-1233 (May 2005). DOI: 10.1214/009117905000000026

Abstract

This article describes a purely analytic approach to urn models of the generalized or extended Pólya–Eggenberger type, in the case of two types of balls and constant “balance,” that is, constant row sum. The treatment starts from a quasilinear first-order partial differential equation associated with a combinatorial renormalization of the model and bases itself on elementary conformal mapping arguments coupled with singularity analysis techniques. Probabilistic consequences in the case of “subtractive” urns are new representations for the probability distribution of the urn’s composition at any time n, structural information on the shape of moments of all orders, estimates of the speed of convergence to the Gaussian limit and an explicit determination of the associated large deviation function. In the general case, analytic solutions involve Abelian integrals over the Fermat curve xh+yh=1. Several urn models, including a classical one associated with balanced trees (2–3 trees and fringe-balanced search trees) and related to a previous study of Panholzer and Prodinger, as well as all urns of balance 1 or 2 and a sporadic urn of balance 3, are shown to admit of explicit representations in terms of Weierstraß elliptic functions: these elliptic models appear precisely to correspond to regular tessellations of the Euclidean plane.

Citation

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Philippe Flajolet. Joaquim Gabarró. Helmut Pekari. "Analytic urns." Ann. Probab. 33 (3) 1200 - 1233, May 2005. https://doi.org/10.1214/009117905000000026

Information

Published: May 2005
First available in Project Euclid: 6 May 2005

zbMATH: 1073.60007
MathSciNet: MR2135318
Digital Object Identifier: 10.1214/009117905000000026

Subjects:
Primary: 33E05 , 60C05
Secondary: 41A60 , 60Fxx , 60K99

Keywords: Analytic function , elliptic function , large deviations , Pólya urn , search tree , urn model

Rights: Copyright © 2005 Institute of Mathematical Statistics

Vol.33 • No. 3 • May 2005
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