Gr\"obner bases and critical values: The asymptotic combinatorics of determinantal systems
Abstract
We consider ideals involving the maximal minors of a polynomial matrix. For example, those arising in the computation of the critical values of a polynomial restricted to a variety for polynomial optimisation. Gr\"obner bases are a classical tool for solving polynomial systems. For practical computations, this consists of two stages. First, a Gr\"obner basis is computed with respect to a DRL (degree reverse lexicographic) ordering. Then, a change of ordering algorithm, such as Sparse-FGLM, designed by Faug\`ere and Mou, is used to find a Gr\"obner basis of the same ideal but with respect to a lexicographic ordering. The complexity of this latter step, in terms of arithmetic operations, is O(mD2), where D is the degree of the ideal and m is the number of non-trivial columns of a certain D × D matrix. While asymptotic estimates are known for m for generic polynomial systems, thus far, the complexity of Sparse-FGLM was unknown for determinantal systems. By assuming Fr\"oberg's conjecture we expand the work of Moreno-Soc\'ias by detailing the structure of the DRL staircase in the determinantal setting. Then we study the asymptotics of the quantity m by relating it to the coefficients of these Hilbert series. Consequently, we arrive at a new bound on the complexity of the Sparse-FGLM algorithm for generic determinantal systems and for generic critical point systems. We consider the ideal in the polynomial ring K[x1, …, xn], where K is some infinite field, generated by p generic polynomials of degree d and the maximal minors of a p × (n-1) polynomial matrix with generic entries of degree d-1. Then for the case d=2 and for n p we give an exact formula for m in terms of n and p. Moreover, for d ≥ 3, we give an asymptotic formula, as n ∞, for m in terms of n,p and d.
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