The max-cut local concentration conjecture for random graphs

Let Gn,pG_{n,p} be the binomial random graph. An ordinary max cut is a partition of the vertex set into two parts attaining the maximum possible number of crossing edges. Max-cut local concentration conjecture. If

pn1logn,p\gg n^{-1}\log n,

then with high probability no ordinary max cut of Gn,pG_{n,p} contains all, or even 51%51\%, of the edges incident with any vertex. The source notes that a weaker bound is known for r4r\geq 4, while the asserted range is not established there; for r=3r=3 even the bound p>Cn1/2p>Cn^{-1/2} was not known.

Sources & referencesView supporting material

Primary source

Bobby DeMarco and Jeff Kahn, “Turán's Theorem for random graphs”, arXiv:1501.01340 (2015).

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