Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 11 2 Solution Created 2026-10-03 Updated 2026-10-07
Work over the finite field . For each set family member form the intersection polynomialAt the characteristic vector of a set , its value is . The given restrictions make for and . Hence these functions are linearly independent: evaluate a purported relation at each set family member to eliminate its coefficient.
Use multilinear reduction on the Boolean cube, replacing every positive power of by . This preserves all evaluations on and cannot increase degree. The multilinear polynomials of degree at most have basis for . Their dimension is , and thereforewhere for . The proof also covers a list whose distinct integers have repeated residues: no assumption of distinct residues is needed for this first bound.
To obtain the sharper conclusion, suppose the common size residue avoids . If , no set on this ground set can have the required residue, so the set family is empty. Otherwise, add the modular-size auxiliary polynomialsagain understood as functions after multilinear reduction on the Boolean cube. They have degree at most , and all vanish on the set family's characteristic vectors of sets.
The are linearly independent. Indeed, evaluate on with :The first factor is nonzero in the finite field. Starting with and proceeding in increasing cardinality shows for every such .
Moreover, the combined list consisting of the and the is linearly independent. Evaluation at each first kills the coefficient of ; the preceding argument then kills all remaining coefficients. Comparing this list with the dimension of the degree-at-most- space yieldsThis is a nonuniform common-residue version of the Frankl-Wilson theorem; exact equality of all member sizes was never used.
The exclusion of the small residues is necessary. A concrete example with is , , , the residue list , and the set family of all two-element subsets. Every member has size residue , outside that list, while distinct members intersect in zero or one element. ButHere the omitted condition fails at . Thus the example satisfies all the other hypotheses, rather than relying on a vacuous case.