Tinkering with Lattices: A New Take on the Erd\H{o}s Distance Problem
Elzbieta Boldyriew, Elena Kim, Steven J. Miller, Eyvindur Palsson,, Sean Sovine, Fernando Trejos Su\'arez, Jason Zhao

TL;DR
This paper investigates the distribution of distances in large integer lattices, using number theory to analyze subsets and their distance properties, providing bounds and constructions relevant to the Erdős distance problem.
Contribution
It introduces a non-asymptotic approach to the Erdős distance problem by analyzing distance distributions in lattice subsets using number-theoretic methods.
Findings
Explicit upper bounds for error in distance distributions for small subsets
Construction methods to maximize distribution error
Lower bounds established for small point sets
Abstract
The Erd\H{o}s distance problem concerns the least number of distinct distances that can be determined by points in the plane. The integer lattice with points is known as \textit{near-optimal}, as it spans distinct distances, the lower bound for a set of points (Erd\H{o}s, 1946). The only previous non-asymptotic work related to the Erd\H{o}s distance problem that has been done was for . We take a new non-asymptotic approach to this problem in a model case, studying the distance distribution, or in other words, the plot of frequencies of each distance of the integer lattice. In order to fully characterize this distribution, we adapt previous number-theoretic results from Fermat and Erd\H{o}s in order to relate the frequency of a given distance on the lattice to the sum-of-squares formula. We study the distance distributions…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Digital Image Processing Techniques · Complexity and Algorithms in Graphs
