Sunflowers and Ramsey problems for restricted intersections
Barnabás Janzer, Zhihan Jin, Benny Sudakov, Kewen Wu
TL;DR
The paper investigates Ramsey-type questions for set systems with restricted intersections, focusing on L-cliques and L-sunflowers and how large an L-intersection-free subfamily can be extracted when no L-sunflower of size m exists. It introduces color certificates and develops a refined delta-system framework to obtain near-optimal, single-exponential bounds in m and k, while contrasting these with the classical double-exponential Füredi lemma. In modular settings, it derives precise bounds depending on residues modulo p, including tight behavior for L = Z/pZ ackslash {0} and implications for quantum computing via shadow tomography and fractional chromatic numbers. The work provides algorithmic tools, notably a polynomial-time approach to construct large L-intersection-free subfamilies and to obtain fractional colorings, and it highlights open questions about optimal exponents and preserving sunflowers within subfamilies, informing both combinatorial theory and quantum applications.
Abstract
Extremal problems on set systems with restricted intersections have been an important part of combinatorics in the last 70 year. In this paper, we study the following Ramsey version of these problems. Given a set $L\subseteq \{0,\dots,k-1\}$ and a family $\mathcal{F}$ of $k$-element sets which does not contain a sunflower with $m$ petals whose kernel size is in $L$, how large a subfamily of $\mathcal{F}$ can we find in which no pair has intersection size in $L$? We give matching upper and lower bounds, determining the dependence on $m$ for all $k$ and $L$. This problem also finds applications in quantum computing. As an application of our techniques, we also obtain a variant of Füredi's celebrated semilattice lemma, which is a key tool in the powerful delta-system method. We prove that one cannot remove the double-exponential dependency on the uniformity in Füredi's result, however, we provide an alternative with significantly better, single-exponential dependency on the parameters, which is still strong enough for most applications of the delta-system method.
