Open Access
August 2017 Maximally persistent cycles in random geometric complexes
Omer Bobrowski, Matthew Kahle, Primoz Skraba
Ann. Appl. Probab. 27(4): 2032-2060 (August 2017). DOI: 10.1214/16-AAP1232

Abstract

We initiate the study of persistent homology of random geometric simplicial complexes. Our main interest is in maximally persistent cycles of degree-$k$ in persistent homology, for a either the Čech or the Vietoris–Rips filtration built on a uniform Poisson process of intensity $n$ in the unit cube $[0,1]^{d}$. This is a natural way of measuring the largest “$k$-dimensional hole” in a random point set. This problem is in the intersection of geometric probability and algebraic topology, and is naturally motivated by a probabilistic view of topological inference.

We show that for all $d\ge2$ and $1\le k\le d-1$ the maximally persistent cycle has (multiplicative) persistence of order

\[\Theta ((\frac{\log n}{\log\log n})^{1/k}),\] with high probability, characterizing its rate of growth as $n\to\infty$. The implied constants depend on $k$, $d$ and on whether we consider the Vietoris–Rips or Čech filtration.

Citation

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Omer Bobrowski. Matthew Kahle. Primoz Skraba. "Maximally persistent cycles in random geometric complexes." Ann. Appl. Probab. 27 (4) 2032 - 2060, August 2017. https://doi.org/10.1214/16-AAP1232

Information

Received: 1 September 2015; Revised: 1 May 2016; Published: August 2017
First available in Project Euclid: 30 August 2017

zbMATH: 1377.60024
MathSciNet: MR3693519
Digital Object Identifier: 10.1214/16-AAP1232

Subjects:
Primary: 05C80 , 60D05 , 62G32

Keywords: Persistent homology , stochastic topology , topological inference

Rights: Copyright © 2017 Institute of Mathematical Statistics

Vol.27 • No. 4 • August 2017
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