Gr\"obner bases and critical values: The asymptotic combinatorics of determinantal systems
Alin Bostan, J\'er\'emy Berthomieu, Andrew Ferguson, Mohab Safey El, Din

TL;DR
This paper analyzes the complexity of the Sparse-FGLM algorithm when applied to determinantal systems, providing new bounds and formulas for the parameter m that influence computational efficiency.
Contribution
It introduces a new complexity bound for Sparse-FGLM on determinantal systems and derives explicit formulas for key parameters under generic conditions.
Findings
New bound on Sparse-FGLM complexity for determinantal systems
Explicit formula for m when d=2 and n≫p
Asymptotic formula for m when d≥3 as n→∞
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 \textsf{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 , where is the degree of the ideal and is the number of non-trivial columns of a certain matrix. While asymptotic estimates are known for for generic…
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Taxonomy
TopicsPolynomial and algebraic computation · Commutative Algebra and Its Applications · Coding theory and cryptography
