21 research outputs found
Set Systems with Restricted Cross-Intersections and the Minimum Rank of Inclusion Matrices
A set system is L-intersecting if any pairwise intersection size lies in L, where L is some set of s nonnegative integers. The celebrated Frankl-Ray-Chaudhuri-Wilson theorems give tight bounds on the size of an L-intersecting set system on a ground set of size n. Such a system contains at most sets if it is uniform and at most sets if it is nonuniform. They also prove modular versions of these results.
We consider the following extension of these problems. Call the set systems {\em L-cross-intersecting} if for every pair of distinct sets A,B with and for some the intersection size lies in . For any k and for n > n 0 (s) we give tight bounds on the maximum of . It is at most if the systems are uniform and at most if they are nonuniform. We also obtain modular versions of these results.
Our proofs use tools from linear algebra together with some combinatorial ideas. A key ingredient is a tight lower bound for the rank of the inclusion matrix of a set system. The s*-inclusion matrix of a set system on [n] is a matrix M with rows indexed by and columns by the subsets of [n] of size at most s, where if and with , we define M AB to be 1 if and 0 otherwise. Our bound generalizes the well-known result that if , then M has full rank . In a combinatorial setting this fact was proved by Frankl and Pach in the study of null t-designs; it can also be viewed as determining the minimum distance of the Reed-Muller codes
Forbidden sparse intersections
Let be a positive integer, let ,
and let be a nonnegative integer. We prove that if
are two families whose cross
intersections forbid -- that is, they satisfy for
every and every -- then, setting
, we have the subgaussian bound where and denote the
-biased and -biased measures on respectively
Forbidden vector-valued intersections
We solve a generalised form of a conjecture of Kalai motivated by attempts to
improve the bounds for Borsuk's problem. The conjecture can be roughly
understood as asking for an analogue of the Frankl-R\"odl forbidden
intersection theorem in which set intersections are vector-valued. We discover
that the vector world is richer in surprising ways: in particular, Kalai's
conjecture is false, but we prove a corrected statement that is essentially
best possible, and applies to a considerably more general setting. Our methods
include the use of maximum entropy measures, VC-dimension, Dependent Random
Choice and a new correlation inequality for product measures.Comment: 40 page