For homogeneous fiber equations of fixed degrees in , put for . The linear map has image the degree- component of their homogeneous ideal. Hence it is surjective exactly when that ideal contains : the degree- monomials generate this power. In a family, the matrix entries are regular functions on the base. Failure of surjectivity is therefore a closed determinantal variety, cut out by the maximal-size matrix minors.
Minor (linear algebra) Created 2026-10-14 Updated 2026-10-25
A matrix minor is the determinant of a square submatrix obtained by selecting rows and columns of a matrix. Over a field, the matrix rank is less than exactly when every -by- matrix minor vanishes. In a matrix of regular functions, these equations define a closed rank-defect locus, explaining the determinantal variety construction.
We use algebraic dimension and tangent spaces, equivalently after extending scalars to an algebraic closure; these are not dimensions of the finite set of rational points when is finite. The condition rank at most is equivalent to the vanishing of all matrix minors. These are polynomials in the entries, so define an affine determinantal variety . The same equations make it a Zariski closed subset of .
For , every line lies in because its matrices have rank at most one. Its tangent direction therefore belongs to the Zariski tangent space at zero. The matrix units span all directions, so . Meanwhile a rank- chart with an invertible block has the form
The free blocks have entries. Rank- matrices are dense in : the factorization parametrizes all rank-at-most- matrices, and the full-rank factor pairs form a dense open subset. This also proves irreducibility, so the local dimension at zero equals the dimension of . Since , zero is singular when .
There is a necessary qualification to the printed claim: for , is a smooth point, with zero-dimensional tangent space. Thus the claim is false if zero is allowed as a rank bound.
Finally, for , the formula gives . Concretely, on a chart where an entry of the first column is nonzero, choose that column freely and make the second an arbitrary scalar multiple of it, giving five plus one parameters.