Alon–Hefetz–Krivelevich–Tyomkyn edge-statistics conjecture

Given a graph GG and a uniformly random kk-vertex subset AA, let XG,kX_{G,k} be the number of edges induced by AA. Define

I(n,k,):=max{P[XG,k=]:v(G)=n},I(n,k,\ell):=\max\{\mathbb{P}[X_{G,k}=\ell]:v(G)=n\},

and

ind(k,):=limnI(n,k,).\operatorname{ind}(k,\ell):=\lim_{n\to\infty}I(n,k,\ell).

Edge-statistics conjecture. For all k,Nk,\ell\in\mathbb{N} with 0<<(k2)0<\ell<\binom{k}{2}, we have

ind(k,)1/e+ok(1).\operatorname{ind}(k,\ell)\leqslant 1/e+o_k(1).

The quantity ind(k,)\operatorname{ind}(k,\ell) measures the largest asymptotic fraction of kk-vertex subsets inducing exactly \ell edges. The paper proves this bound in the range 1ok(k6/5)1\leqslant\ell\leqslant o_k(k^{6/5}), while the general assertion is presented as a conjecture originating with Alon, Hefetz, Krivelevich, and Tyomkyn.

Sources & referencesView supporting material

Primary source

Anders Martinsson, Frank Mousset, Andreas Noever and Miloš Trujić, “The edge-statistics conjecture for k^6/5”, arXiv:1809.02576 (2021).

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