Poisson approximation of large-lifetime cycles

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Authors: Christian Hirsch, Nikolaj Nyvold Lundbye, Moritz Otto
Cited by: 0
References: 27

Abstract

In topological data analysis, the notions of persistent homology, birthtime, lifetime, and deathtime are used to assign and capture relevant cycles (i.e., topological features) of a point cloud, such as loops and cavities. In particular, cycles with a large lifetime are of special interest. In this paper, we study such large-lifetime cycles when the point cloud is modeled as a Poisson point process. First, we consider the case with no bound on the deathtime, where we establish Poisson convergence of the centers of large-lifetime cycles on the 2-dimensional flat torus. Afterwards, by imposing a bound on the deathtime, we enter a sparse connectivity regime, and we prove joint Poisson convergence of the centers, lifetimes, and deathtimes in dimensions $$\varvec{d \geqslant 2}$$ under suitable model conditions.

Fields of Study & Subjects

Topological and Geometric Data Analysis Point processes and geometric inequalities Stochastic processes and statistical mechanics

Publication details

Journal / source
Extremes
Volume
29
Issue
3
Pages
495–559
Publication date
26 February 2026
Language
EN