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Statement

Setting (p. 1). A pp-sunflower is a family of pp sets whose pairwise intersections are identical.

Theorem 1 (p. 1, quoted). "There is a universal constant α>1\alpha>1 such that every family of more than (αplog⁡(pk))k(\alpha p\log(pk))^k sets of size kk must contain a pp-sunflower."

The paper declares on p. 3 that all its logarithms are to base 2; in Theorem 1 the base only rescales α\alpha. The constant α\alpha is not made explicit. The introduction (p. 1) presents the result as a simpler proof of a bound similar to that of Alweiss, Lovett, Wu and Zhang, who showed that (log⁡k)k⋅(plog⁡log⁡k)O(k)(\log k)^k\cdot(p\log\log k)^{O(k)} sets of size kk force a pp-sunflower; for comparison it recalls Erdős and Rado's bound (p−1)k⋅k!(p-1)^k\cdot k! and their family of (p−1)k(p-1)^k sets of size kk with no pp-sunflower.

Source. Anup Rao, Coding for sunflowers, Discrete Analysis 2020:2, 8 pp., doi:10.19086/da.11887 (arXiv:1909.04774v2). Theorem 1 is on p. 1, its deduction from Lemma 2 on p. 2. Card: Rao 2020.

Read depth. Claims checked: the statement and the definition of a pp-sunflower were read clause by clause on the printed page. The deduction on p. 2 was read for structure only.

Proof pointer

Page 2, by induction on kk, with r(p,k)=αplog⁡(pk)r(p,k)=\alpha p\log(pk). For k=1k=1 a family of more than r(p,1)r(p,1) distinct singletons contains pp of them, which form a pp-sunflower. For k>1k>1, if the family is not r(p,k)r(p,k)-spread, some nonempty ZZ lies in more than rk−∣Z∣r^{k-|Z|} of its sets; removing ZZ from those sets and applying the induction hypothesis, using that r(p,k)r(p,k) does not decrease in kk, gives a pp-sunflower. If the family is r(p,k)r(p,k)-spread, Lemma 2 gives pp pairwise disjoint sets, which form a pp-sunflower.

Dependencies

Lemma 2 (p. 2), itself deduced from Lemma 4.

Bears on

  • Problem 20: in the problem's notation, with nn the size of the sets and kk the size of the sunflower, Theorem 1 gives f(n,k)≤(αklog⁡(kn))n+1f(n,k)\le(\alpha k\log(kn))^n+1. The base αklog⁡(kn)\alpha k\log(kn) grows with nn, so the bound is not of the form cknc_k^n the problem asks for, and the theorem does not answer it.