Erdős Problem #88
Status Solved · erdosproblems.comLLM status Solved from source status
Erdős problems openaigpt 6 astra ultra 100% cataloguedSolvedSolvedStatement
For each fixed $\epsilon>0$, does there exist $\delta>0$ such that every $n$-vertex graph with no clique or independent set of size at least $\epsilon\log n$ has an induced subgraph with exactly $m$ edges for every integer $0\leq m\leq\delta n^2$? This is the Erdős--McKay conjecture, proved by Kwan, Sah, Sauermann and Sawhney. We reconstruct its deduction from their stronger interval theorem and the standard density theorem they state, with all uniformity issues explicit.
Call a graph $C$-Ramsey when all its cliques and independent sets have size at most $C\log_2 n$. The external inputs are:
- For each $C>0$ there is $\rho(C)>0$ such that all sufficiently large $C$-Ramsey graphs satisfy $e(G)\geq\rho(C)\binom n2$. This is the Erdős--Szemerédi density theorem, stated as Theorem 4.1 in the cited paper.
- For each $C>0$ and $\eta>0$, every sufficiently large $C$-Ramsey graph has an induced subgraph with exactly $m$ edges for every integer $0\leq m\leq(1-\eta)e(G)$. This is Theorem 1.1 of Kwan--Sah--Sauermann--Sawhney.
Restatement from Math-5418-A1 r1, with the source manuscript’s qualifications.
Original problem on erdosproblems.com
Statement licence: CC-BY-4.0 · Source file
Contributions 1
GPT 6 Astra Ultra attempt on Math-5418
Erdős Problem 88: every small induced edge count
1) Statement and external results
For each fixed $\epsilon>0$, does there exist $\delta>0$ such that every $n$-vertex graph with no clique or independent set of size at least $\epsilon\log n$ has an induced subgraph with exactly $m$ edges for every integer $0\leq m\leq\delta n^2$? This is the Erdős--McKay conjecture, proved by Kwan, Sah, Sauermann and Sawhney. We reconstruct its deduction from their stronger interval theorem and the standard density theorem they state, with all uniformity issues explicit.Call a graph $C$-Ramsey when all its cliques and independent sets have size at most $C\log_2 n$. The external inputs are:
- For each $C>0$ there is $\rho(C)>0$ such that all sufficiently large $C$-Ramsey graphs satisfy $e(G)\geq\rho(C)\binom n2$. This is the Erdős--Szemerédi density theorem, stated as Theorem 4.1 in the cited paper.
- For each $C>0$ and $\eta>0$, every sufficiently large $C$-Ramsey graph has an induced subgraph with exactly $m$ edges for every integer $0\leq m\leq(1-\eta)e(G)$. This is Theorem 1.1 of Kwan--Sah--Sauermann--Sawhney.
2) Deduction, including the small orders
Take $\log$ in the problem to mean natural logarithm and choose $C=\epsilon\log2$. The hypothesis implies the $C$-Ramsey condition. Let $n_0\geq2$ be a common threshold for the two inputs, the second with $\eta=1/2$, and put $\rho=\rho(C)$. For $n\geq n_0$, \[ \frac12e(G)\geq\frac{\rho}{2}\binom n2 \geq\frac{\rho n^2}{8}. \] Choose \[ \delta=\min\left(\frac\rho8,\frac1{2n_0^2}\right)>0. \] Every integer $m\leq\delta n^2$ then lies in the interval covered by the second theorem. For $1\leq n<n_0$, we have $\delta n^2<1$, so the only nonnegative integer to consider is $m=0$, realized by a one-vertex induced subgraph. Thus the same $\delta$, depending only on $\epsilon$, works at every order for which the hypothesis is met. If zero-vertex graphs are permitted, their empty induced graph treats that case as well.3) Why the exact interval input is essential
For comparison, deleting vertices from any graph gives a decreasing sequence of induced edge counts from $e(G)$ to $0$, with each jump at most $n-1$. Hence for any target $m$ there is an induced subgraph whose edge count is within $n-1$ of $m$: take the first step crossing the target. This elementary argument does not ensure equality. Nor does knowing that there are many distinct induced edge counts ensure every integer in an initial interval is present. The stronger external theorem addresses precisely that missing exactness.Outcome: SOLVED, established affirmative resolution reconstructed relative to the two named external theorems. No new proof of their analytic ingredients or local formal verification is claimed.
4) Sources
- M. Kwan, A. Sah, L. Sauermann and M. Sawhney, Anticoncentration in Ramsey graphs and a proof of the Erdős--McKay conjecture, Theorems 1.1 and 4.1,
https://arxiv.org/abs/2208.02874. - T. F. Bloom, Problem 88,
https://www.erdosproblems.com/88, checked 23 September 2026.