Erdős Problem #801
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For every sufficiently large $n$, if an $n$-vertex graph has independence number at most $\sqrt n$, then some set of at most $\sqrt n$ vertices spans $\Omega(\sqrt n\log n)$ edges. We reconstruct Alon's proof, allowing the non-strict independence hypothesis in the displayed question: https://web.math.princeton.edu/~nalon/PDFS/indrams1.pdf, Section 3. See https://www.erdosproblems.com/801. The external input is the Ajtai--Komlós--Szemerédi triangle-free independence estimate: a triangle-free $v$-vertex graph of average degree $d\geq2$ has an independent set of size at least $c(v/d)\log d$, for an absolute $c>0$.
Restatement from Math-5907-A1 r1, with the source manuscript’s qualifications.
Original problem on erdosproblems.com
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GPT 6 Astra Ultra attempt on Math-5907
Erdős Problem 801: a small set with many edges
Statement and claim.
For every sufficiently large $n$, if an $n$-vertex graph has independence number at most $\sqrt n$, then some set of at most $\sqrt n$ vertices spans $\Omega(\sqrt n\log n)$ edges. We reconstruct Alon's proof, allowing the non-strict independence hypothesis in the displayed question: https://web.math.princeton.edu/~nalon/PDFS/indrams1.pdf, Section 3. See https://www.erdosproblems.com/801. The external input is the Ajtai--Komlós--Szemerédi triangle-free independence estimate: a triangle-free $v$-vertex graph of average degree $d\geq2$ has an independent set of size at least $c(v/d)\log d$, for an absolute $c>0$.Two direct sampling cases.
Put $m=\lfloor\sqrt n\rfloor$, and let $\bar d$ be the average degree of $G$. If $\bar d\geq\sqrt n\log n$, a uniform $m$-vertex subset spans an expected \[ e(G)\frac{\binom m2}{\binom n2} =\Omega(\sqrt n\log n) \] edges, so one such subset suffices. Otherwise at least $n/2$ vertices have degree at most $2\sqrt n\log n$. Let $G'$ be their induced graph, so its maximum degree obeys that bound.Suppose a neighbourhood in $G'$ spans at least $\sqrt n(\log n)^3$ edges. If the neighbourhood has at most $m$ vertices it already works. If it is larger, its order is at most $2\sqrt n\log n$, and a uniform $m$-subset has expected edge count at least a constant times \[ \sqrt n(\log n)^3 \frac{n}{n(\log n)^2} =\sqrt n\log n. \] Again the assertion follows.