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Alon 2021 large cliques independent sets all over
proposition_3: For small sizes the optimal threshold is determined up to a constant factor: when n is sufficiently large compared to k >= 2, the least m_G(k) over n-vertex graphs G is Θ(k log n), the lower bound holding for every graph and the upper bound attained by the random graph.
theorem_1: Gives an n-vertex graph whose every subset of a subpolynomial threshold size contains both a clique and an independent set of size at least log n.
theorem_2: The general form of the paper's construction: for every n >= 4 and every k >= log n there is an n-vertex graph G whose subsets of size at least m_G(k) all contain a clique and an independent set of size k, with log log m_G(k) <= 6 sqrt(log log n log log k), logarithms base 2.
theorem_8: The paper's main construction, built by alternately scrambling a locally Ramsey graph and taking a lexicographic power: for every t >= 2 there is an (m, r)-locally Ramsey graph on N >= 4 vertices whenever log m >= t^(2t) (log r)^t (log N)^(1/t) and log r >= t log log N.
Noga Alon, Matija Bucić, and Benny Sudakov, Large cliques and independent sets all over the place. Proceedings of the American Mathematical Society 149 (2021), no. 8, 3145-3157. Published electronically May 14, 2021. DOI: 10.1090/proc/15323. The preprint is arXiv:2004.04718, whose version 2 is dated August 11, 2020.
Edition read. The copy read for this card is the published 13-page version, downloaded from the author's copy on 2026-09-09. Its printed pages 3145-3157 correspond to PDF pages 1-13. The publisher's title, DOI, issue, page range, and publication date appear on the first page. The preprint PDF was not compared. The article prints "©2021 American Mathematical Society" on its first page and, at the foot of every page, "License or copyright restrictions may apply to redistribution; see https://www.ams.org/journal-terms-of-use", every other right reserved.
The paper minimizes, over -vertex graphs , the threshold at which every subset of that many vertices contains both a clique and an independent set of size at least . All logarithms are base 2. Its main result, Theorem 1, constructs graphs satisfying
This is the case of Theorem 2 (p. 3147), which gives for every and an -vertex graph with , and which the paper derives from its main construction, Theorem 8 (p. 3152). The construction combines lexicographic powers with random changes of edges and nonedges, called scrambling in Section 3. For small sizes, Proposition 3 (p. 3147) shows that the minimum of over -vertex graphs is when is sufficiently large compared to , the random graph attaining the upper bound. Theorem 1 is an upper bound for the threshold in Problem 805, not a matching determination of that threshold. The paper explicitly leaves the question unresolved on p. 3146; that is the paper's historical assessment, not a current literature search.
Reading coverage. The published statement, definitions, and conventions on pp. 3145-3147 were checked against complete rendered pages. The method description and the statements and proof route on pp. 3151-3152 and 3154 were also inspected. The final specialization of Theorem 2 to Theorem 1 was checked; the construction lemmas and full proof of Theorem 2 were not reconstructed or independently verified. The extracted result records that boundary. On 2026-10-08 all thirteen page images were read: Theorems 1, 2 and 8 and Propositions 3, 9 and 10 were checked clause by clause, and the proofs of Theorems 2 and 8 and of Propositions 9 and 10 were read for their structure only. Read status: claims checked for every result page of this card.
Identity correction. The formerly recorded arXiv identifier
2010.05953 belongs to Hwang et al., COMET-ATOMIC 2020: On Symbolic and
Neural Commonsense Knowledge Graphs, and the formerly recorded PDF was
that unrelated paper's version 2. The formerly recorded DOI
10.1090/proc/15381 belongs to Gaffney and Ruas, Equisingularity and EIDS.
Neither identifies the Alon-Bucić-Sudakov source. The account above uses the
correct published edition; no claims about this graph construction are
supported by either unrelated identifier.
Bears on. #805: Theorem 1 gives an -vertex graph in which every set of vertices contains a clique and an independent set of size (base 2), an upper bound for the problem's threshold that exceeds every fixed power of and so does not reach the case ; Theorem 2 is its general form and Theorem 8 the construction behind both. Proposition 3 concerns large compared to and is not asserted at .
No file of this source is held: no license on record permits its redistribution, and the card cites the edition it names above.