The Distant-l Chromatic Number of Random Geometric Graphs
Yilun Shang

TL;DR
This paper studies the asymptotic behavior of the distant-l chromatic number in random geometric graphs, revealing how it compares to the standard chromatic number as the number of vertices grows.
Contribution
It provides a comprehensive analysis of the ratios of the distant-l chromatic number to the chromatic number in high-dimensional random geometric graphs, with almost sure convergence results.
Findings
Ratios of _l(G_n) to (G_n) are characterized asymptotically.
Complete description of the asymptotic ratios for different parameters.
Results hold with probability approaching 1 as n .
Abstract
A random geometric graph is given by picking vertices in independently under a common bounded probability distribution, with two vertices adjacent if and only if their -distance is at most . We investigate the distant- chromatic number of for . Complete picture of the ratios of to the chromatic number are given in the sense of almost sure convergence.
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.
Taxonomy
TopicsAdvanced Graph Theory Research · Graph Labeling and Dimension Problems · Computational Geometry and Mesh Generation
