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Problem 911

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Statement. Let R^(G)\hat{R}(G) denote the size Ramsey number, the minimal number of edges mm such that there is a graph HH with mm edges that is Ramsey for GG.

Is there a function ff such that f(x)/x→∞f(x)/x\to \infty as x→∞x\to \infty such that, for all large CC, if GG is a graph with nn vertices and e≥Cne\geq Cn edges then

R^(G)>f(C)e?\hat{R}(G) > f(C) e?

Formulation. The statement is the site's wording (the page shows no last-edited date and its commentary is empty). "HH is Ramsey for GG" means that every 22-coloring of the edges of HH contains a monochromatic copy of GG; the sources write r^(G)\hat r(G). Erdős's printed question [Er82e] (p. 78) is: "Let G(n;e)G(n;e) be a graph of nn vertices and ee edges. We assume that e/ne/n is large. Is it true that there is a function f(x)f(x), f(x)/x→∞f(x)/x\to\infty as x→∞x\to\infty for which r^(G(n;e))>e f(e/n)\hat r(G(n;e))>e\,f(e/n)?" The site evaluates ff at any C≤e/nC\le e/n where Erdős evaluates it at e/ne/n itself. The two forms are equivalent (an elementary check made here): the site's implies Erdős's with C=e/nC=e/n, and given Erdős's ff, the nondecreasing g(x)=inf⁡y≥xf(y)g(x)=\inf_{y\ge x}f(y) still has g(x)/x→∞g(x)/x\to\infty and satisfies the site's form. Since R^(G)≥e\hat R(G)\ge e trivially, the question asks whether the ratio R^(G)/e\hat R(G)/e must exceed any linear function of the average degree once that degree is large, uniformly over all graphs.

Status. Open. No source read states a bound of this kind for all graphs of given density, and no proof or disproof, preprint or proof claim was found in the search whose scope the Current assessment records. This is a bounded negative finding, not a certificate of openness.

Source. erdosproblems.com/911, accessed 2026-09-18: the problem page (OPEN; no last-edited date; source key [Er82e, p. 78]; empty commentary), its three-comment discussion thread (22--23 October 2025) and its empty proof-claim tab. Cite as: T. F. Bloom, Erdős Problem #911, https://www.erdosproblems.com/911, accessed 2026-09-18.

References.

  • [Er82e] Erdős, P., Some of my favourite problems which recently have been solved. Proceedings of the International Mathematical Conference (Singapore, 1981), North-Holland Math. Stud. 74, North-Holland, Amsterdam (1982), 59--79; the "last minute" additions, printed p. 78. Library home: erdos_1982_my_favourite_problems_which_recently_have.
  • [EFRS78b] Erdős, P., Faudree, R. J., Rousseau, C. C. and Schelp, R. H., The size Ramsey number. Period. Math. Hungar. 9 (1978), 145--161. The definition, p. 146; Theorem 6, p. 154 (the Km,nK_{m,n} bounds cited under What is known). Library home: erdos_1978_size_ramsey_number. Context only: the definition and the Km,nK_{m,n} example.

Formalization. None found. No file for this problem exists in the directory FormalConjectures/ErdosProblems/ of google-deepmind/formal-conjectures (main, 2026-09-18), and the community database records the problem open, not formalized, with no formal proof (record last updated 31 August 2025). The site's "Formalised statement?" indicator reads "No".

Current assessment

The question (site formulation). The statement above; status OPEN; no commentary. The thread has three comments of 22 and 23 October 2025: a reader could not find the problem in the cited reference, then located it on the reference's page 78, among the additions at the end of the paper, and the site's maintainer added the page number. There are no proof claims. The community database record says open and not formalized (record last updated 31 August 2025).

Origin. [Er82e], printed p. 78. A paragraph on the paper's last page explains that a meeting on combinatorial analysis in Eger, Hungary, allowed Erdős to add some last minute corrections and two new problems. The first new problem is the question quoted in the Formulation paragraph. The second concerns a graph G(n)G(n) of bounded edge density, meaning that some absolute constant cc bounds the number of edges of every kk-vertex subgraph by ckck: Erdős recalls the conjecture made with Burr several years earlier, his display (1), that the ordinary diagonal Ramsey number of such a G(n)G(n) is at most CnCn with CC depending only on cc (display (1) is printed with the hat of the size Ramsey number, a misprint that the next sentence corrects); he then asks, as display (2), whether even r^(G(n))<f(c)n\hat r(G(n))<f(c)n holds, notes that (2) implies (1), and adds that his "first feeling would be to try to find a counter example to (2)". Display (1) is the Burr--Erdős conjecture of Problem 163; display (2), its size-Ramsey form, fails, since graphs of maximum degree three have bounded edge density and superlinear size Ramsey numbers, the disproof recorded on Problem 559 (an observation made here; Erdős's "first feeling" was right). The page closes with a third item, Rödl's proof of Erdős's weighted-clique conjecture (3), which does not concern size Ramsey numbers. The site's statement follows the printed one up to the reformulation noted above.

What is known. Nothing beyond the trivial in the sources read. The trivial lower bound is R^(G)≥e\hat R(G)\ge e. The bounded-degree results of Problem 559 (graphs of maximum degree three with r^(G)≫n(log⁡n)c\hat r(G)\gg n(\log n)^c, by Rödl and Szemerédi, and with r^(G)≥cnexp⁡(clog⁡n)\hat r(G)\ge cn\exp(c\sqrt{\log n}), by Tikhomirov) concern growth in nn at a fixed density and say nothing about the dependence on the density CC, which is what this question asks; the linear bounds for paths and cycles of Problem 720 concern graphs of density at most 11, outside the range "e/ne/n large". For families with two-sided bounds, such as complete bipartite graphs Km,nK_{m,n} with mm fixed ([EFRS78b], Theorem 6: e−1m2m−1n<r^(Km,n)≤289m22m−1ne^{-1}m2^{m-1}n<\hat r(K_{m,n})\le\frac{28}9m^22^{m-1}n for fixed m≥2m\ge2 and large nn, recorded on its card; the two bounds differ by a factor of order mm, and the paper says on p. 160 that r^(Km,n)\hat r(K_{m,n}) is not known up to a constant), the ratio r^/e\hat r/e grows exponentially in the density, consistent with a yes, but no source read addresses a uniform ff over all graphs. No source read names this problem or Erdős's displayed inequality.

Search scope. None of the routes below found a bound of the form R^(G)>f(C)e\hat R(G)>f(C)e for all graphs of density at least CC, a counterexample family, or a proof claim.

  • The site: problem page, discussion thread and proof-claim tab; the full directory listing of formal-conjectures of 2026-09-18 (no file); the community database record.
  • The primary source: [Er82e] pp. 70 and 78--79.
  • arXiv: the searches ("size Ramsey" OR "size-Ramsey") AND (density OR "number of edges" OR edges OR "lower bound") (50 records) and abs:"size Ramsey" OR abs:"size-Ramsey" sorted by date (100 records), scanned by title; the abstracts of arXiv:2604.16012 (Mao, on two 1981 questions of Erdős and Faudree about r^(tK2,G)\hat r(tK_2,G), unrelated to this quantifier), arXiv:2511.16656, arXiv:2301.10160 and arXiv:2609.04713 were read; the abstract page of the 2026 survey arXiv:2608.01525 (Conlon, combinatorial theorems relative to sparse sets) states no bound. Nothing found concerns the growth of R^(G)/e\hat R(G)/e with the density.
  • Semantic Scholar: the citing papers of Beck 1983 (about 190 records) and of Haxell, Kohayakawa and Łuczak 1995 (about 95 records), scanned by title for a general density bound; none found.

Not searched: MathSciNet, Google Scholar, X, and the 1987 note "Remarks on the size Ramsey number of graphs" that the citation index lists without an identifier.

Remaining gaps. (1) The question is open with no partial result found; reopening condition: a source proving or refuting a uniform superlinear dependence on the density, or a family of graphs of large density with R^(G)=O(Ce)\hat R(G)=O(Ce). (2) The site's reference text carries only the key; the passage is located on the printed page the thread names and quoted above. (3) There is nothing to compile: no proof exists for the statement, and the page's account rests on the origin passage and the dated search. (4) There is no Lean statement of the problem.

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