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Statement

Printed p. 280 (PDF p. 2 of the publisher's scan, whose text layer drops exponents; read on the page image). The section first asks for the largest value of the clique-transversal number over graphs with nn vertices. For triangle-free graphs Lemma 1 turns this into asking for the least possible independence number, a Ramsey-type problem, and the authors report that triangle-free graphs are the worst cases they know. The problem is posed in these words:

Problem 1. "Denote by r(n)r(n) the largest integer such that every triangle-free graph of order nn contains an independent set of r(n)r(n) vertices. Is τC(G)≤n−r(n)\tau_C(G)\le n-r(n) for all graphs GG on nn vertices?"

The paragraph that follows records the known bounds c1nlog⁡n≤r(n)≤c2nlog⁡nc_1\sqrt{n\log n}\le r(n)\le c_2\sqrt n\log n, for positive constants c1c_1 and c2c_2, citing [2] for the lower and [6] for the upper bound, and draws from them the expectation that "τC(G)≤n−f(n)n\tau_C(G)\le n-f(n)\sqrt n holds for some function f(n)f(n) tending to infinity with nn". Their own bound is weaker: τC(G)≤n−2n+c\tau_C(G)\le n-\sqrt{2n}+c with a small constant cc, obtained twice (Theorems 1 and 3). The two proofs use unrelated methods and both are given in full, in the hope that one of them leads to a better bound; Theorem 3 is proved by an algorithm, while Section 4 shows that computing τC(G)\tau_C(G) exactly is hard in general.

Here a clique is an inclusion-maximal complete subgraph with at least two vertices and τC(G)\tau_C(G) the least size of a set meeting every clique (p. 279); n=∣V(G)∣n=|V(G)| throughout the section. References [2] and [6] are Ajtai, Komlós and Szemerédi, J. Combin. Theory Ser. A 29 (1980), 354--360 (the lower bound on r(n)r(n)), filed as ajtai_1980_note_ramsey_numbers, whose Theorem 3, "R(3,x)<100x2/ln⁡xR(3,x)<100x^2/\ln x", is on printed p. 358 (PDF p. 5), read there clause by clause on the page image and located in the text layer on 2026-09-22, and paged with its rewriting as the lower bound on r(n)r(n) on theorem_3; and Erdős, Canad. J. Math. 13 (1961), 346--352 (the upper bound; filed as erdos_1961_graph_theory_probability). Problem 1 is the site's Problem 151 with H(n)H(n) for r(n)r(n); the expectation sentence is the first displayed question of Problem 610. Lemma 1(b) (p. 282) is the equivalence the first sentence refers to: for a triangle-free graph τC(G)=∣V(G)∣−α(G)\tau_C(G)=|V(G)|-\alpha(G), so triangle-free graphs attain τC(G)=n−r(n)\tau_C(G)=n-r(n) and Problem 1 asks whether any graph does worse. P. 280 continues with Problem 2 and then calls proving τC(G)≤n−r(n)\tau_C(G)\le n-r(n) for sparse graphs, K4K_4-free ones for instance, "An interesting particular case of Problem 1"; concerning this it poses Problem 3, printed on p. 281.

Source. P. Erdős, T. Gallai and Zs. Tuza, Covering the cliques of a graph with vertices, Discrete Math. 108 (1992), 279--289, doi:10.1016/0012-365X(92)90681-5; printed p. 280 = PDF p. 2, read on the page image. The edition is identified in the source digest.

Read depth. Claims checked: the passage was read clause by clause on the page image on 2026-09-19. It poses a question and states known bounds with references; the bounds on r(n)r(n) were not checked in [2] and [6] here (the 1961 paper's card records the upper bound at its own depth).

Proof pointer

None; a question. The bounds it invokes are Theorem 1 and Theorem 3 of the paper.

Dependencies

None.

Bears on

  • Problem 151: the exact primary formulation of the problem (the site's second source key, "[EGT92, p. 280]"), with the authors' remark that no examples worse than triangle-free ones were known.
  • Problem 610: the sentence "we expect that τC(G)≤n−f(n)n\tau_C(G)\le n-f(n)\sqrt n holds for some function f(n)f(n) tending to infinity with nn" (p. 280) is the problem's first displayed question, and the conjecture τC(G)≤n−r(n)\tau_C(G)\le n-r(n) is what the site's commentary says the authors "speculate".
  • Problem 620: the paper writes on p. 280 (PDF p. 2, page image): "An interesting particular case of Problem 1 is to prove τC(G)≤n−r(n)\tau_C(G)\le n-r(n) for 'sparse' graphs; K4K_4-free ones, for instance." It then poses on p. 281 (PDF p. 3) Problem 3, "How large triangle-free induced subgraphs does a K4K_4-free graph GG on nn vertices contain?", paged at problem_3.