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arxiv: 1501.06301 · v1 · pith:X2Q2WRP7new · submitted 2015-01-26 · 🧮 math.CO · cs.DM· math.PR

Local convergence of random graph colorings

classification 🧮 math.CO cs.DMmath.PR
keywords randomverticesassignedaveragebelowcoloringscolorsgraph
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Let $G=G(n,m)$ be a random graph whose average degree $d=2m/n$ is below the $k$-colorability threshold. If we sample a $k$-coloring $\sigma$ of $G$ 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} $d_c(k)$, the colors assigned to far away vertices are asymptotically independent [Krzakala et al.: Proc. National Academy of Sciences 2007]. We prove this conjecture for $k$ exceeding a certain constant $k_0$. More generally, we investigate the joint distribution of the $k$-colorings that $\sigma$ induces locally on the bounded-depth neighborhoods of any fixed number of vertices. In addition, we point out an implication on the reconstruction problem.

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