Open Access
April 2010 On rough isometries of Poisson processes on the line
Ron Peled
Ann. Appl. Probab. 20(2): 462-494 (April 2010). DOI: 10.1214/09-AAP624

Abstract

Intuitively, two metric spaces are rough isometric (or quasi-isometric) if their large-scale metric structure is the same, ignoring fine details. This concept has proven fundamental in the geometric study of groups. Abért, and later Szegedy and Benjamini, have posed several probabilistic questions concerning this concept. In this article, we consider one of the simplest of these: are two independent Poisson point processes on the line rough isometric almost surely? Szegedy conjectured that the answer is positive.

Benjamini proposed to consider a quantitative version which roughly states the following: given two independent percolations on ℕ, for which constants are the first n points of the first percolation rough isometric to an initial segment of the second, with the first point mapping to the first point and with probability uniformly bounded from below? We prove that the original question is equivalent to proving that absolute constants are possible in this quantitative version. We then make some progress toward the conjecture by showing that constants of order $\sqrt{\log n}$ suffice in the quantitative version. This is the first result to improve upon the trivial construction which has constants of order log n. Furthermore, the rough isometry we construct is (weakly) monotone and we include a discussion of monotone rough isometries, their properties and an interesting lattice structure inherent in them.

Citation

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Ron Peled. "On rough isometries of Poisson processes on the line." Ann. Appl. Probab. 20 (2) 462 - 494, April 2010. https://doi.org/10.1214/09-AAP624

Information

Published: April 2010
First available in Project Euclid: 9 March 2010

zbMATH: 1205.60030
MathSciNet: MR2650039
Digital Object Identifier: 10.1214/09-AAP624

Subjects:
Primary: 60D05 , 60K35
Secondary: 82B43

Keywords: geometry of random sets , Matching , one dimension , percolation , Poisson process , quasi-isometry , Rough isometry

Rights: Copyright © 2010 Institute of Mathematical Statistics

Vol.20 • No. 2 • April 2010
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