Convergence of persistence diagrams for topological crackle

Takashi Owada, Omer Bobrowski

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we study the persistent homology associated with topological crackle generated by distributions with an unbounded support. Persistent homology is a topological and algebraic structure that tracks the creation and destruction of topological cycles (generalizations of loops or holes) in different dimensions. Topological crackle is a term that refers to topological cycles generated by random points far away from the bulk of other points, when the support is unbounded. We establish weak convergence results for persistence diagrams - a point process representation for persistent homology, where each topological cycle is represented by its (birth, death) coordinates. In this work, we treat persistence diagrams as random closed sets, so that the resulting weak convergence is defined in terms of the Fell topology. Using this framework, we show that the limiting persistence diagrams can be divided into two parts. The first part is a deterministic limit containing a densely-growing number of persistence pairs with a shorter lifespan. The second part is a two-dimensional Poisson process, representing persistence pairs with a longer lifespan.

Original languageEnglish
Pages (from-to)2275-2310
Number of pages36
JournalBernoulli
Volume26
Issue number3
DOIs
StatePublished - Aug 2020

Keywords

  • Extreme value theory
  • Fell topology
  • Persistent homology
  • Point process
  • Topological crackle

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

Fingerprint

Dive into the research topics of 'Convergence of persistence diagrams for topological crackle'. Together they form a unique fingerprint.

Cite this