Monochromatic Equilateral Triangles in the Unit Distance Graph
Eric Naslund

TL;DR
This paper demonstrates that the minimum number of colors needed to avoid monochromatic equilateral triangles in Euclidean space grows exponentially with dimension, using the slice rank method to improve lower bounds.
Contribution
The paper applies the slice rank method to establish exponential lower bounds for the chromatic number related to equilateral triangles in high-dimensional spaces, improving previous results.
Findings
Established exponential growth of hi_elta() with dimension n.
Improved quantitative lower bounds for hi_elta() using the slice rank method.
Proved hi_elta() > (1.01446+o(1))^n.
Abstract
Let denote the minimum number of colors needed to color so that there will not be a monochromatic equilateral triangle with side length . Using the slice rank method, we reprove a result of Frankl and Rodl, and show that grows exponentially with . This technique substantially improves upon the best known quantitative lower bounds for , and we obtain \[ \chi_{\Delta}\left(\mathbb{R}^{n}\right)>(1.01446+o(1))^{n}. \]
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
