Morse Theory for the k-NN Distance Function

Fuente: arXiv
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Autores principales: Reani, Yohai, Bobrowski, Omer
Formato: Preprint
Publicado: 2024
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author Reani, Yohai
Bobrowski, Omer
author_facet Reani, Yohai
Bobrowski, Omer
contents We study the $k$-th nearest neighbor distance function from a finite point-set in $\mathbb{R}^d$. We provide a Morse theoretic framework to analyze the sub-level set topology. In particular, we present a simple combinatorial-geometric characterization for critical points and their indices, along with detailed information about the possible changes in homology at the critical levels. We conclude by computing the expected number of critical points for a homogeneous Poisson process. Our results deliver significant insights and tools for the analysis of persistent homology in order-$k$ Delaunay mosaics, and random $k$-fold coverage.
format Preprint
id arxiv_https___arxiv_org_abs_2403_12792
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Morse Theory for the k-NN Distance Function
Reani, Yohai
Bobrowski, Omer
Computational Geometry
Algebraic Topology
Combinatorics
We study the $k$-th nearest neighbor distance function from a finite point-set in $\mathbb{R}^d$. We provide a Morse theoretic framework to analyze the sub-level set topology. In particular, we present a simple combinatorial-geometric characterization for critical points and their indices, along with detailed information about the possible changes in homology at the critical levels. We conclude by computing the expected number of critical points for a homogeneous Poisson process. Our results deliver significant insights and tools for the analysis of persistent homology in order-$k$ Delaunay mosaics, and random $k$-fold coverage.
title Morse Theory for the k-NN Distance Function
topic Computational Geometry
Algebraic Topology
Combinatorics
url https://arxiv.org/abs/2403.12792