Linear varieties and matroids with applications to the Cullis' determinant

preprint2026arXivOpen access

Abstract

Let VV be a vector space of rectangular n×kn\times k matrices annihilating the Cullis' determinant. We show that dim⁡(V)≤(n−1)k\dim(V) \le (n-1)k, extending Dieudonn{é}'s result on the dimension of vector spaces of square matrices annihilating the ordinary determinant. Furthermore, for certain values of nn and kk, we explicitly describe such vector spaces of maximal dimension. Namely, we establish that if kk is odd, n≥k+2n \ge k + 2 and dim⁡(V)=(n−1)k\dim(V) = (n-1)k, then VV is equal to the space of all n×kn\times k matrices XX such that alternating row sum of XX is equal to zero. Our proofs rely on the following observations from the matroid theory that have an independent interest. First, we provide a notion of matroid corresponding to a given linear variety. Second, we prove that if the linear variety is transformed by projections and restrictions, then the behaviour of the corresponding matroid is expressed in the terms of matroid contraction and restriction. Third, we establish that if MM is a matroid, I∗I^* its coindependent set M∣SM|S and its restriction on a set SS, then the union of I∗∖SI^*\setminus S with every cobase of M∣SM|S is coindependent set of MM.

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