The clique-cover chromatic-index upper-bound conjecture for random graphs

Let GG be sampled from the binomial random graph model G(n,p){\mathcal G}(n,p), where pp is a constant with 0<p<10<p<1. Let θ0(G)\theta'_0(G) be the minimum, over all clique covers of GG, of the chromatic index of the clique cover; equivalently, it is the smallest number of subgraphs with complete-graph components whose union covers E(G)E(G). Clique-cover chromatic-index conjecture. There exists a constant c4=c4(p)>0c_4=c_4(p)>0 such that, with high probability as nn\to\infty,

θ0(G)<c4nlogn.\theta'_0(G)<c_4\frac{n}{\log n}.

The conjecture proposes an O(n/logn)O(n/\log n) upper bound for the clique-cover chromatic index of a typical dense random graph. The source motivates it by suggesting that the Frieze--Reed method for random graph thickness may yield the correct order, but gives no proof.

Sources & referencesView supporting material

Primary source

Zoltán Füredi and Ida Kantor, “Kneser ranks of random graphs and minimum difference representations”, arXiv:1701.08292 (2017).

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