Sharp Phase Transitions for k-Fold Coverage Using Morse Theory
Yohai Reani, Omer Bobrowski

TL;DR
This paper uses Morse theory to analyze phase transitions in random k-coverage, establishing sharp thresholds for coverage and the distribution of uncovered regions, advancing understanding of geometric coverage problems.
Contribution
It introduces a novel Morse theory-based framework to study phase transitions in k-coverage, providing sharp thresholds and Poisson approximations for uncovered regions.
Findings
Sharp phase transition for the number of critical points of the k-NN distance function.
Phase transition for k-coverage established.
Poisson process approximation for last uncovered regions.
Abstract
We introduce a novel approach for studying random k-coverage, using Morse theory for the k-nearest neighbor (k-NN) distance function. We prove a sharp phase transition for the number of critical points of the k-NN distance function, from which we conclude a phase transition for k-coverage. In addition, in the critical window our new framework enables us to prove a Poisson process approximation (in both location and size) for the last uncovered regions.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Topological and Geometric Data Analysis · Random Matrices and Applications
