Frankl-Wilson Theorem
The Frankl-Wilson theorem provides strong upper bounds on set families with restricted intersection sizes. It is proved using the linear algebra (dimension) method and has remarkable applications to geometry, coding theory, and combinatorial number theory.
Statement
Let be a prime and let . If is a family of subsets of , each of size where for any , and for all distinct , then
Proof Outline
Associate to each set the polynomial
This polynomial has degree . For distinct , evaluating at the characteristic vector gives since .
For : since .
Now reduce each polynomial modulo the ideal (since has entries) to obtain polynomials of degree at most in the reduced polynomial ring. The monomials of degree at most in this ring span a vector space of dimension . But the matrix of evaluations has nonzero diagonal and zero off-diagonal, so the corresponding vectors are linearly independent. We conclude:
For the uniform version (all sets of the same size), a refinement gives the stronger bound .
Applications
Borsuk conjectured (1933) that every bounded set in can be partitioned into sets of smaller diameter. Kahn and Kalai (1993) disproved this using the Frankl-Wilson theorem: they constructed a set in requiring parts, exponentially more than .
The Frankl-Wilson theorem generalizes the Ray-Chaudhuri-Wilson theorem: if and the intersection sizes take at most distinct values for , then . This follows from a dimension argument over using the same polynomial construction.
The Frankl-Wilson theorem implies that the fractional chromatic number of the Kneser graph is at least , complementing the integer chromatic number result from LovΓ‘sz's topological proof. This bound is tight, establishing .