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Tail Bounds for the Stable Marriage of Poisson and Lebesgue

Published online by Cambridge University Press:  20 November 2018

Christopher Hoffman
Affiliation:
Department of Mathematics, University of Washington, Seattle, WA 98195, USA email: [email protected]
Alexander E. Holroyd
Affiliation:
Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2 email: [email protected]
Yuval Peres
Affiliation:
Microsoft Research, 1 Microsoft Way, Redmond, WA 98052, USA, and Departments of Statistics and Mathematics, UC Berkeley, Berkeley, CA 94720, USA email: [email protected]
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Abstract

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Let $\Xi $ be a discrete set in ${{\mathbb{R}}^{d}}$. Call the elements of $\Xi $centers. The well-known Voronoi tessellation partitions ${{\mathbb{R}}^{d}}$ into polyhedral regions (of varying volumes) by allocating each site of ${{\mathbb{R}}^{d}}$ to the closest center. Here we study allocations of ${{\mathbb{R}}^{d}}$ to $\Xi $ in which each center attempts to claim a region of equal volume $\alpha $.

We focus on the case where $\Xi $ arises from a Poisson process of unit intensity. In an earlier paper by the authors it was proved that there is a unique allocation which is stable in the sense of the Gale–Shapley marriage problem. We study the distance $X$ from a typical site to its allocated center in the stable allocation.

The model exhibits a phase transition in the appetite $\alpha $. In the critical case $\alpha \,=\,1$ we prove a power law upper bound on $X$ in dimension $d\,=\,1$. (Power law lower bounds were proved earlier for all $d$). In the non-critical cases $\alpha <1$ and $\alpha \,>1$we prove exponential upper bounds on $X$.

Type
Research Article
Copyright
Copyright © Canadian Mathematical Society 2009

References

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