Colorful monochromatic connectivity of random graphs

preprint2014arXivOpen access

Abstract

An edge-coloring of a connected graph GG is called a {\it monochromatic connection coloring} (MC-coloring, for short), introduced by Caro and Yuster, if there is a monochromatic path joining any two vertices of the graph GG. Let mc(G)mc(G) denote the maximum number of colors used in an MC-coloring of a graph GG. Note that an MC-coloring does not exist if GG is not connected, and in this case we simply let mc(G)=0mc(G)=0. We use G(n,p)G(n,p) to denote the Erdös-Rényi random graph model, in which each of the (n2)\binom{n}{2} pairs of vertices appears as an edge with probability pp independently from other pairs. For any function f(n)f(n) satisfying 1≤f(n)<12n(n−1)1\leq f(n)<\frac{1}{2}n(n-1), we show that if ℓnlog⁡n≤f(n)<12n(n−1)\ell n \log n\leq f(n)<\frac{1}{2}n(n-1) where ℓ∈R+\ell\in \mathbb{R}^+, then p=f(n)+nlog⁡log⁡nn2p=\frac{f(n)+n\log\log n}{n^2} is a sharp threshold function for the property mc(G(n,p))≥f(n)mc\left(G\left(n,p\right)\right)\ge f(n); if f(n)=o(nlog⁡n)f(n)=o(n\log n), then p=log⁡nnp=\frac{\log n}{n} is a sharp threshold function for the property mc(G(n,p))≥f(n)mc\left(G\left(n,p\right)\right)\ge f(n).

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