Optimized Gr\"obner basis algorithms for maximal determinantal ideals and critical point computations
Abstract
Given polynomials and , all in for some field , we consider the problem of computing the critical points of the restriction of to the variety defined by . These are defined by the simultaneous vanishing of the 's and all maximal minors of the Jacobian matrix associated to . We use the Eagon-Northcott complex associated to the ideal generated by these maximal minors to gain insight into the syzygy module of the system defining these critical points. We devise new -type criteria to predict and avoid more reductions to zero when computing a Gr\"obner basis for the defining system of this critical locus. We give a bound for the arithmetic complexity of this enhanced algorithm and compare it to the best previously known bound for computing critical points using Gr\"obner bases.
Cite
@article{arxiv.2402.07353,
title = {Optimized Gr\"obner basis algorithms for maximal determinantal ideals and critical point computations},
author = {Sriram Gopalakrishnan and Vincent Neiger and Mohab Safey El Din},
journal= {arXiv preprint arXiv:2402.07353},
year = {2024}
}
Comments
10 pages, 3 algorithms, 4 figures