Poisson approximation of large-lifetime cycles
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