English

A Sparse Multicover Bifiltration of Linear Size

Computational Geometry 2025-06-18 v2 Algebraic Topology

Abstract

The kk-cover of a point cloud XX in Rd\mathbb{R}^{d} at radius rr is the set of all points within distance rr of at least kk points of XX. By varying rr and kk we obtain a two-parameter filtration known as the multicover bifiltration. This bifiltration has received attention recently due to being choice-free and robust to outliers. However, it is hard to compute: the smallest known equivalent simplicial bifiltration has O(Xd+1)O(|X|^{d+1}) simplices. We introduce a (1+ϵ)(1+\epsilon)-approximation of the multicover bifiltration of linear size O(X)O(|X|), for fixed dd and ϵ\epsilon. The methods also apply to the subdivision Rips bifiltration on metric spaces of bounded doubling dimension, yielding analogous results.

Cite

@article{arxiv.2411.06986,
  title  = {A Sparse Multicover Bifiltration of Linear Size},
  author = {Ángel Javier Alonso},
  journal= {arXiv preprint arXiv:2411.06986},
  year   = {2025}
}

Comments

24 pages. Improvements on the exposition throughout. Substantially improved exposition of the proof of the sparse multicover nerve theorem, with the addition of also handling the case of the cones not being convex

R2 v1 2026-06-28T19:55:33.786Z