Past exam of the mathematics course of the University of Cambridge 2009 iii Paper 14 4 Solution Created 2026-10-03 Updated 2026-10-14
The Frankl-Wilson theorem in its uniform form says: let be a prime number, let have size , and let have , while for every distinct pair of members. Then
The modular-intersection, nonuniform form of the Frankl-Wilson theorem is as follows. Let be a prime number, let have elements, and let satisfy for each , whereas for distinct . ThenThis nonuniform Frankl-Wilson theorem allows different sizes and different diagonal residues; in particular it applies when all sizes have one common residue outside .
To prove it by the polynomial method in combinatorics, work over the finite field and associate to each member the intersection polynomialReplace each positive power of in its expansion by to obtain its multilinear reduction on the Boolean cube . This preserves evaluation on every characteristic vector, whose coordinates are zero or one, and leaves degree at most . At the characteristic vector ,It is zero for distinct , and nonzero for by the diagonal hypothesis. If , evaluating at each forces . Thus the multilinear polynomials are linearly independent. They belong to the vector space with basis the square-free monomials for , whose dimension is the displayed sum. This proves the nonuniform form, including , where distinct members are impossible and the empty product is one.
For the sharp uniform form, we need the low-degree evaluation rank on a uniform layer. Form the integer matrix whose rows are indexed by with , columns by -subsets , and entries . These are evaluations of the square-free monomials. Over the rational numbers, the row of a -subset satisfiesIndeed, when the left side counts the -subsets between and , and otherwise both sides vanish. Since , the coefficient is a positive integer. Thus the degree- rows span all the rows over the rational numbers, giving . Every square submatrix of larger size has integer determinant zero, so its determinant remains zero modulo . HenceThis reduction of matrix rank is the reason one must not try to divide by directly in .
The evaluations of the on the th uniform layer of the Boolean cube lie in the row linear span of over . They are linearly independent as functions there, because restriction to the columns corresponding to still gives the nonzero diagonal evaluation matrix. Their number is consequently at most . This completes the proof of the uniform Frankl-Wilson theorem as well.
For the odd-cardinality problem the sharper Oddtown theorem follows directly from linear algebra. Let be the characteristic vector. The parity conditions sayFor any linear combination , take its dot product with . All off-diagonal terms vanish, leaving . Hence these vectors are linearly independent in an -dimensional vector space, givingThe singleton sets show that the bound can be attained. Notice why the constant term in the general nonuniform Frankl-Wilson theorem is unnecessary here: these dot products already give a diagonal evaluation matrix using only the coordinate functions.
For even , partition into the pairs and take every union of a selection of these pairs. This gives exactly distinct sets, including the empty set. Each has even size; every pairwise intersection is again a union of entire pairs and therefore has even size. This attains the proposed bound.
For any set family satisfying the even-cardinality conditions, let be the linear span of its characteristic vectors over . Now the self-dot products vanish as well as the off-diagonal ones. By bilinearity, for all , so : it is a self-orthogonal binary subspace.
For completeness the standard bilinear form on is nondegenerate, because a vector orthogonal to every coordinate vector has every coordinate zero. Thus the map from onto the dual space is surjective: every linear functional on extends to the whole vector space by extending a basis, and every such functional on is a dot product with a vector. Its kernel is . The rank-nullity theorem consequently gives . The inclusion implies . Finally, distinct members have distinct characteristic vectors, all in , and a -dimensional vector space over has exactly elements. ThereforeThis proves the Eventown theorem and also explains the suggested dimension contradiction if the set family had more than members.