arXiv Analytics

Sign in

arXiv:1107.4775 [math.PR]AbstractReferencesReviewsResources

Distance Functions, Critical Points, and the Topology of Random Čech Complexes

Omer Bobrowski, Robert J. Adler

Published 2011-07-24, updated 2014-08-11Version 2

For a finite set of points $P$ in $R^d$, the function $d_P: R^d \to R^+$ measures Euclidean distance to the set $P$. We study the number of critical points of $d_P$ when $P$ is a Poisson process. In particular, we study the limit behavior of $N_k$ - the number of critical points of $d_P$ with Morse index $k$ - as the density of points grows. We present explicit computations for the normalized, limiting, expectations and variances of the $N_k$, as well as distributional limit theorems. We link these results to recent results in which the Betti numbers of the random \v{C}ech complex based on $P$ were studied.

Related articles: Most relevant | Search more
arXiv:2305.17586 [math.PR] (Published 2023-05-27)
The number of critical points of a Gaussian field: finiteness of moments
arXiv:1307.1123 [math.PR] (Published 2013-07-03, updated 2014-03-01)
The Topology of Probability Distributions on Manifolds
arXiv:1807.11018 [math.PR] (Published 2018-07-29)
Betti Numbers of Gaussian Excursions in the Sparse Regime