Scaling Laws for Maximum Coloring of Random Geometric Graphs
Probability
2016-11-17 v1 Discrete Mathematics
Combinatorics
Abstract
We examine maximum vertex coloring of random geometric graphs, in an arbitrary but fixed dimension, with a constant number of colors. Since this problem is neither scale-invariant nor smooth, the usual methodology to obtain limit laws cannot be applied. We therefore leverage different concepts based on subadditivity to establish convergence laws for the maximum number of vertices that can be colored. For the constants that appear in these results, we provide the exact value in dimension one, and upper and lower bounds in higher dimensions.
Keywords
Cite
@article{arxiv.1611.05070,
title = {Scaling Laws for Maximum Coloring of Random Geometric Graphs},
author = {Sem Borst and Milan Bradonjić},
journal= {arXiv preprint arXiv:1611.05070},
year = {2016}
}