A Poisson allocation of optimal tail

TL;DR

This paper introduces an improved algorithm for partitioning space in a Poisson point process, achieving an optimal tail decay rate for the diameter of allocated regions, surpassing previous methods.

Contribution

The authors develop a new allocation algorithm for Poisson processes in dimensions three and higher, achieving near-optimal tail decay for region diameters, improving upon gravitational allocation.

Findings

Achieves $O( ext{exp}(-cR^d))$ tail decay for region diameter.

Surpasses the previous $ ext{exp}(-R^{1+o(1)})$ tail decay.

Utilizes the Ajtai-Komlós-Tusnády algorithm and stable marriage scheme.

Abstract

The allocation problem for a $d$-dimensional Poisson point process is to find a way to partition the space to parts of equal size, and to assign the parts to the configuration points in a measurable, "deterministic" (equivariant) way. The goal is to make the diameter $R$ of the part assigned to a configuration point have fast decay. We present an algorithm for $d\geq3$ that achieves an $O(\operatorname {exp}(-cR^d))$ tail, which is optimal up to $c$. This improves the best previously known allocation rule, the gravitational allocation, which has an $\operatorname {exp}(-R^{1+o(1)})$ tail. The construction is based on the Ajtai-Koml\'{o}s-Tusn\'{a}dy algorithm and uses the Gale-Shapley-Hoffman-Holroyd-Peres stable marriage scheme (as applied to allocation problems).