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

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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 n→∞n\to\infty,

θ0′(G)<c4nlog⁡n.\theta'_0(G)<c_4\frac{n}{\log n}.

The conjecture proposes an O(n/log⁡n)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.

References

Primary source

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

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