Sharp concentration of the equitable chromatic number of dense random graphs
Annika Heckel

TL;DR
This paper proves that the equitable chromatic number of dense random graphs exhibits sharp concentration on a specific value, contrasting with the broader variability of the normal chromatic number, and provides explicit asymptotic bounds.
Contribution
It demonstrates that the equitable chromatic number of dense random graphs is sharply concentrated on a known value along a subsequence, revealing unexpected narrowness in its distribution.
Findings
Equitable chromatic number concentrates on a specific value for a subsequence of dense random graphs.
The equitable chromatic number is asymptotically proportional to n / (2 log_b n).
Contrasts the concentration behavior of equitable and normal chromatic numbers.
Abstract
An equitable colouring of a graph is a colouring of the vertices of so that no two adjacent vertices are coloured the same and, additionally, the colour class sizes differ by at most . The equitable chromatic number is the minimum number of colours required for this. We study the equitable chromatic number of the dense random graph , where and is constant. It is a well-known question of Bollob\'as whether for there is a function so that for any sequence of intervals of length , the normal chromatic number of lies outside the intervals with probability at least if is large enough. Bollob\'as proposes that this is likely to hold for . We show that for the \emph{equitable} chromatic number, the answer to the analogous…
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.
