Nerve-type and invariance theorems for asymptotic dimension
Abstract
Asymptotic dimension of metric spaces is a large-scale analog of covering dimension of topological spaces. An intersection graph of a family of sets is the graph whose vertices are the members of the family and whose edges correspond to pairs of members with non-empty intersection. Our first main result connects the asymptotic dimension of the intersection graph of a family and the Assouad-Nagata dimension of the ambient metric space containing members of under some mild and necessary assumptions. We prove that if is a family of subsets of a metric space of Assouad-Nagata dimension such that every ball of radius intersects at most pairwise disjoint members of of diameter at least for some function , then the asymptotic dimension of the intersection graph of is at most . This result is optimal both quantitatively and qualitatively in several senses. As a corollary of this result, the asymptotic dimension of the intersection graph of any family of compact convex sets of bounded aspect ratio in , such as a family of balls in , is at most . Our second main result states that the asymptotic dimension of the intersection graph of a family of connected closed sets of a connected topological space with connected boundary equals the asymptotic dimension of the intersection graph of the family of the boundary of the sets in , under a mild condition. In particular, the asymptotic dimension of the intersection graphs of families of spheres in equals or when .
Cite
@article{arxiv.2607.24146,
title = {Nerve-type and invariance theorems for asymptotic dimension},
author = {Chun-Hung Liu and Sergey Norin},
journal= {arXiv preprint arXiv:2607.24146},
year = {2026}
}