Advances in Applied Probability

The class of tenable zero-balanced Pólya urn schemes: characterization and Gaussian phases

Abstract

We study a class of tenable, irreducible, nondegenerate zero-balanced Pólya urn schemes. We give a full characterization of the class by sufficient and necessary conditions. Only forms with a certain cyclic structure in their replacement matrix are admissible. The scheme has a steady state into proportions governed by the principal (left) eigenvector of the average replacement matrix. We study the gradual change for any such urn containing n → ∞ balls from the initial condition to the steady state. We look at the status of an urn starting with an asymptotically positive proportion of each color after jn draws. We identify three phases of jn: the growing sublinear, the linear, and the superlinear. In the growing sublinear phase the number of balls of different colors has an asymptotic joint multivariate normal distribution, with mean and covariance structure that are influenced by the initial conditions. In the linear phase a different multivariate normal distribution kicks in, in which the influence of the initial conditions is attenuated. The steady state is not a good approximation until a certain superlinear amount of time has elapsed. We give interpretations for how the results in different phases conjoin at the `seam lines'. In fact, these Gaussian phases are all manifestations of one master theorem. The results are obtained via multivariate martingale theory. We conclude with some illustrating examples.

Article information

Source
Adv. in Appl. Probab., Volume 44, Number 3 (2012), 702-728.

Dates
First available in Project Euclid: 6 September 2012

Permanent link to this document
https://projecteuclid.org/euclid.aap/1346955261

Digital Object Identifier
doi:10.1239/aap/1346955261

Mathematical Reviews number (MathSciNet)
MR2815490

Zentralblatt MATH identifier
1269.60008

Citation

Kholfi, Sanaa; Mahmoud, Hosam M. The class of tenable zero-balanced Pólya urn schemes: characterization and Gaussian phases. Adv. in Appl. Probab. 44 (2012), no. 3, 702--728. doi:10.1239/aap/1346955261. https://projecteuclid.org/euclid.aap/1346955261

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