English

Local convergence of random graph colorings

Combinatorics 2015-01-27 v1 Discrete Mathematics Probability

Abstract

Let G=G(n,m)G=G(n,m) be a random graph whose average degree d=2m/nd=2m/n is below the kk-colorability threshold. If we sample a kk-coloring σ\sigma of GG uniformly at random, what can we say about the correlations between the colors assigned to vertices that are far apart? According to a prediction from statistical physics, for average degrees below the so-called {\em condensation threshold} dc(k)d_c(k), the colors assigned to far away vertices are asymptotically independent [Krzakala et al.: Proc. National Academy of Sciences 2007]. We prove this conjecture for kk exceeding a certain constant k0k_0. More generally, we investigate the joint distribution of the kk-colorings that σ\sigma induces locally on the bounded-depth neighborhoods of any fixed number of vertices. In addition, we point out an implication on the reconstruction problem.

Keywords

Cite

@article{arxiv.1501.06301,
  title  = {Local convergence of random graph colorings},
  author = {Amin Coja-Oghlan and Charilaos Efthymiou and Nor Jaafari},
  journal= {arXiv preprint arXiv:1501.06301},
  year   = {2015}
}