Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
Updated
Claim. Every graph on vertices satisfies ,
the inequality of Problem 151,
where is the clique-transversal number (the least number of vertices
meeting every maximal clique on at least two vertices) and
is the least independence number of a
triangle-free graph on vertices. The write-up is the file PROOF.md of the
repository veljjanoski/erdos151 at the pinned commit of 2026-09-28, posted to
the site's proof-claim tab the same day as a partial claim by Daniel
Veljjanoski, who credits the reduction to a research-log issue of 25
September 2026 by the GitHub user AlyciaBHZ
(issue 9934
of the repository the-omega-institute/trureturing, an AI-assisted log that
is not itself a claim; the problem page records why it has no page); the tab
names the AI system used as Claude (Anthropic).
The argument works with , the largest size of a vertex set containing no maximal clique, so that the inequality reads . A counterexample with the fewest vertices has with (deleting a vertex does not raise ), and a local bound shows that for every vertex the graph induced on the non-isolated part of its neighborhood satisfies , where . When the graph is triangle-free or its triangles are vertex-disjoint, and follows from a triangle-free spanning subgraph that keeps an edge of every maximal clique. The new step is : then every edge lies in at most two triangles; the triangles outside 's are made the nodes of a multigraph whose edges are the edges of they contain, an Euler circuit of an augmented copy is colored alternately so that every such triangle has edges of both colors, and the red edges together with the triangle-free edges and a -cycle from each form a triangle-free spanning subgraph meeting every maximal clique, so again of that subgraph . The known values for give in every case, and puts every in range. The write-up adds that the argument uses no minimality and so proves the inequality for every graph in which each edge lies in at most two triangles, for every , and that at (where ) the reduction gives only , so the method stops.
On 23 September 2026 the claimant posted on the problem's thread a SAT and integer-programming verification of the inequality for every graph on at most vertices. The case was only partly searched and nothing is claimed for it. The code, logs and a coverage script are in the same repository, and Claude (Anthropic) is disclosed as assistant. The claimant's post of 28 September 2026 announces the write-up, which they say makes the computation unnecessary and agrees with it.
Submission note. Posted to erdosproblems.com as a proof claim by Daniel Veljjanoski (account veljjanoski) on 28 September 2026, giving "Claude (Anthropic)" as the AI used:
We prove for every graph on vertices. Write , the size of a largest vertex set containing no maximal clique. A counterexample with the fewest vertices has , , and adding to a clique-free set of ( a smallest set meeting the maximal cliques of ) gives for every , where is the neighbourhood graph without isolated vertices and . If , is triangle-free or its triangles are vertex-disjoint, and follows. The new step is : every edge lies in at most two triangles, and alternately colouring an Euler circuit of the triangle–edge incidence multigraph gives a triangle-free spanning subgraph meeting every maximal clique, so $\beta(G)\ge H(n)$. The values of give for all , and gives . Notes: Partial result (). The minimum-counterexample reduction and the cases are from https://github.com/the-omega-institute/trureturing/issues/9934 (25 Sep 2026), which proves using a cited clique-colouring theorem of Liang, Shan and Kang. The new part here is the elementary proof of the case where every edge lies in at most two triangles, which removes the need for that theorem. Independently, SAT computations verify the inequality for .
Posted to the site's forum by Daniel Veljjanoski on 23 September 2026:
A small-case check. Since the complement of a clique transversal is a vertex set containing no maximal clique, holds iff every set of vertices contains a maximal clique of . Encoding this as a SAT problem (edge variables, an indicator for each candidate clique of size at most forced to imply cliqueness and maximality, one clause per -subset) and splitting into cases by the degree and neighbourhood of a vertex of maximum degree, we verified that
where is exact for . The bound is attained by triangle-free graphs with , and also by graphs containing triangles: such tight graphs exist for and do not exist for (same method, asking for plus a triangle).
Every satisfying assignment produced by the solver was rechecked by an independent integer program for . For the case split was only partly completed (27 of 108 cases, all unsatisfiable), so nothing is claimed there.
Code, logs and a script certifying the case coverage: https://github.com/veljjanoski/erdos151
AI-usage disclosure: Claude (Anthropic) was used as assistant.
Posted to the site's forum by Daniel Veljjanoski on 28 September 2026:
Update: the inequality now holds for every graph on vertices by a short proof, submitted in the proof-claims tab (write-up: https://github.com/veljjanoski/erdos151/blob/main/PROOF.md). This covers and makes the computation above unnecessary, though it still agrees with it.
Covers. The inequality for every graph on at most 39 vertices, and for every graph, of any order, in which each edge lies in at most two triangles. The problem for all is not addressed; the write-up says where its method stops.
Depends on. Nothing in this wiki; the argument consumes only the Ramsey values for and the bound , which it cites from Radziszowski's dynamic survey.
Standing. Claimed. The write-up says it was checked by referee passes of an AI system, Claude (Anthropic) as the tab names it, and by computer checks of its lemmas on small graphs, not by a human referee; no outside review is known, the site's label is unchanged (OPEN), and no step of the argument has been checked. A partial claim derives nothing for the problem's standing, which stays open.