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Generalised Erdős distance theory on graphs

2025/05/10 by Sean Dewar, Nóra Frankl, Dewar, Sean +9
Engineering · Computer Science · #Structural Analysis and Optimization #Computational Geometry and Mesh Generation #Advanced Graph Theory Research

paper · pdf · doi:10.48550/arxiv.2505.06590

Abstract

The famous Erdős distinct distances problem asks the following: how many distinct distances must exist between a set of n points in the plane? There are many generalisations of this question that ask one to consider different spaces and metrics, or larger structures of points. We bring these problems into a common framework using the concept of g-rigidity. Specifically, if G=(V,E) is a (hyper)graph, g is a map assigning polynomial measurements to the edges of G and fg,G(PV) gives the set of g-distinct realisations of the g-rigid graph G, where vertices must lie in a point set P, our main results describe sharp lower bounds for the size of |fg,G(PV)|. This allows us to obtain results for pseudo-Euclidean metrics, ℓp metrics, dot-product problems, matrix completion problems, and symmetric tensor completion problems. In addition, we use the recent work of Alon, Bucić and Sauermann along with a simple colouring argument to prove that the number of ‖ ⋅‖-distinct realisations of a graph G=(V,E) within a d-dimensional point set P is at least Ω(\frac|P||V|-1(log |P|)2 ) for almost all d-norms. Our methods here also provide a short proof that the unit distance conjecture implies the pinned distance conjecture.

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