Sharp Phase Transitions for k-Fold Coverage Using Morse Theory
Yohai Reani, Omer Bobrowski
TL;DR
This work develops a Morse-theoretic framework for analyzing random $k$-fold coverage on a torus, linking the topology of the $k$-coverage set to the critical points of the $k$-NN distance function. It establishes a sharp phase transition for $k$-coverage at the threshold $\Lambda=\log n+(d+k-2)\log\log n$, with a concurrent Poisson-process description of the last uncovered regions in the critical window. The analysis extends Morse theory to the non-smooth $k$-NN distance and derives detailed counts and variance for critical points of all indices, yielding topological consequences such as the Euler characteristic behavior and implications for homological connectivity. Collectively, the results provide precise probabilistic and topological characterizations of coverage in dense random geometric settings, with a novel methodological bridge between stochastic geometry and Morse theory applicable to manifold settings.
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.
