Entropy Transference for Rainbow-H-Free Colourings of Random Graphs
Mengyu Cao, Mei Lu, Haixiang Zhang
Abstract
Let H be a fixed graph with e(H)3 that contains two adjacent edges, and let e(H) be fixed. We establish an entropy-transference principle for rainbow-H-free edge-colourings of the binomial random graph at the natural scale p=n-1/m2(H). Writing RH,(G) for the number of such colourings and λ(H,) for the rainbow entropy--Turán density on complete graphs, we show that, with high probability, the per-edge logarithmic counting rate can be made arbitrarily close to below a sufficiently small constant multiple of this scale, and arbitrarily close to λ(H,) above a sufficiently large constant multiple. Thus the dense-side counting rate on a sparse random host is governed exactly by a deterministic entropy--Turán parameter on complete graphs. We further investigate this parameter, obtaining partial exact evaluations, corresponding counting-stability results, and its first-order asymptotic behaviour as the number of colours tends to infinity. This extends the random Gallai-colouring transition from triangles to every fixed non-matching graph containing at least three edges, and provides a general mechanism for transferring complete-graph template entropy to sparse random hosts.
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