English

Coloring powers of random graphs

Combinatorics 2026-04-16 v1

Abstract

Given a graph GG and an integer r1r\ge 1, the rrth power GrG^r of GG is the graph obtained from GG by adding edges for all pairs of distinct vertices at distance at most rr from each other. We focus on two basic structural properties of the rrth power of the binomial random graph Gn,pG_{n,p}, namely, the maximum degree Δ(Gn,pr)\Delta(G_{n,p}^r) and the chromatic number χ(Gn,pr)\chi(G_{n,p}^r), and give with high probability (w.h.p.) bounds. In the sparse case that p=d/np=d/n for some fixed constant d>0d>0, we prove the following. We prove that w.h.p.~Δ(Gn,pr)lognlog(r+1)n\Delta(G_{n,p}^r) \sim \frac{\log n}{\log_{(r+1)}n} (where log(1)n=logn\log_{(1)}n=\log n and log(r+1)n=loglog(r)n\log_{(r+1)}n=\log\log_{(r)}n) and that w.h.p.~Δ(Gn,pr/2)+1χ(Gn,pr)Δ(Gn,pr1)+1\Delta(G_{n,p}^{\lfloor{r/2}\rfloor})+1 \le \chi(G_{n,p}^r) \le \Delta(G_{n,p}^{r-1})+1. For r=2r=2, we show the upper bound holds with equality. For denser cases, for dd satisfying d=ω(logn)d=\omega(\log n) and dn1/rΩ(1)d\le n^{1/r-\Omega(1)} as nn\to\infty, we have χ(Gn,pr)=Θ(dr/logd)\chi(G_{n,p}^r) = \Theta(d^r/\log d) w.h.p.

Keywords

Cite

@article{arxiv.2604.14006,
  title  = {Coloring powers of random graphs},
  author = {Alan Frieze and Ross Kang and Aditya Raut and Michelle Sweering and Hilde Verbeek},
  journal= {arXiv preprint arXiv:2604.14006},
  year   = {2026}
}
R2 v1 2026-07-01T12:10:59.365Z