Alon–Hefetz–Krivelevich–Tyomkyn edge-statistics conjecture

About 8 years old · traced to

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

and

ind⁡(k,ℓ):=lim⁡n→∞I(n,k,ℓ).\operatorname{ind}(k,\ell):=\lim_{n\to\infty}I(n,k,\ell).

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

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

The quantity ind⁡(k,ℓ)\operatorname{ind}(k,\ell) measures the largest asymptotic fraction of kk-vertex subsets inducing exactly ℓ\ell edges. The paper proves this bound in the range 1⩽ℓ⩽ok(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.

References

Primary source

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

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.