Conormal Lower Bounds for Determinantal Complexity: Fermat Slices, Tight Bounds, and a Ceiling
arXiv:2606.15970
Abstract
The determinantal complexity of a polynomial is the smallest size of a matrix of affine linear forms whose determinant is ; the border version only asks for determinants converging to . The polar method bounds these quantities from below by comparing an invariant of the hypersurface , such as the degree of its dual variety, with the number of solutions of a polynomial system built from a determinantal representation of . We determine how far the method reaches. Lower bounds: if has a linear restriction to a form of degree in variables with smooth projective zero set, then the border determinantal complexity of is at least . Setting the off-diagonal host entries to zero turns every homomorphism polynomial with a connected pattern into a Fermat polynomial, which gives the bound . For the VBP-complete path family this is tight: the border determinantal complexity of is . The same argument gives cubic bounds for natural VP- and VNP-complete families, and a bound in terms of the codimension of the singular locus of . A ceiling: the method, together with every refinement in a precisely defined class, cannot prove a lower bound larger than for any polynomial of degree in variables. The proof computes the solution count exactly, as the degree of the dual of a generic determinantal hypersurface, and shows that every characteristic-cycle invariant of a hypersurface of degree is at most . For the permanent the ceiling is ; for the power sum it is , matching the known lower bound.
arXiv commentSubstantially expanded. Adds the lower-bound side of the method, a smooth-slice criterion, a tight Theta(q^3) border bound for a VBP-complete path family, cubic bounds for VP- and VNP-complete homomorphism families, and a codimension principle