English

Linear dependencies, polynomial factors in the Duke--Erd\H os forbidden sunflower problem

Combinatorics 2025-04-23 v3

Abstract

We call a family of ss sets {F1,,Fs}\{F_1, \ldots, F_s\} a \textit{sunflower with ss petals} if, for any distinct i,j[s]i, j \in [s], one has FiFj=u=1sFuF_i \cap F_j = \cap_{u = 1}^s F_u. The set C=u=1sFuC = \cap_{u = 1}^s F_u is called the {\it core} of the sunflower. It is a classical result of Erd\H os and Rado that there is a function ϕ(s,k)\phi(s,k) such that any family of kk-element sets contains a sunflower with ss petals. In 1977, Duke and Erd\H os asked for the size of the largest family F([n]k)\mathcal{F}\subset{[n]\choose k} that contains no sunflower with ss petals and core of size t1t-1. In 1987, Frankl and F\" uredi asymptotically solved this problem for k2t+1k\ge 2t+1 and n>n0(s,k)n>n_0(s,k). This paper is one of the pinnacles of the so-called Delta-system method. In this paper, we extend the result of Frankl and F\"uredi to a much broader range of parameters: n>f0(s,t)kn>f_0(s,t) k with f0(s,t)f_0(s,t) polynomial in ss and tt. We also extend this result to other domains, such as [n]k[n]^k and (nk/w)w{n\choose k/w}^w and obtain even stronger and more general results for forbidden sunflowers with core at most t1t-1 (including results for families of permutations and subfamilies of the kk-th layer in a simplicial complex). The methods of the paper, among other things, combine the spread approximation technique, introduced by Zakharov and the first author, with the Delta-system approach of Frankl and F\"uredi and the hypercontractivity approach for global functions, developed by Keller, Lifshitz and coauthors. Previous works in extremal set theory relied on at most one of these methods. Creating such a unified approach was one of the goals for the paper.

Keywords

Cite

@article{arxiv.2410.06156,
  title  = {Linear dependencies, polynomial factors in the Duke--Erd\H os forbidden sunflower problem},
  author = {Andrey Kupavskii and Fedor Noskov},
  journal= {arXiv preprint arXiv:2410.06156},
  year   = {2025}
}