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 ≥ 3 that achieves an O(exp(-cRd)) tail, which is optimal up to c. This improves the best previously known allocation rule, the gravitational allocation, which has an exp(-R1+o(1)) tail. The construction is based on the Ajtai-Komlós-Tusnády algorithm and uses the Gale-Shapley-Hoffman-Holroyd-Peres stable marriage scheme (as applied to allocation problems).
Original language | English |
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Pages (from-to) | 1285-1307 |
Number of pages | 23 |
Journal | Annals of Probability |
Volume | 44 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2016 |
Bibliographical note
Publisher Copyright:© Institute of Mathematical Statistics, 2016.
Other keywords
- Fair allocation
- Poisson process
- Translation-equivariant mapping