English

Solving determinantal systems using homotopy techniques

Symbolic Computation 2018-03-01 v1

Abstract

Let \K\K be a field of characteristic zero and \Kbar\Kbar be an algebraic closure of \K\K. Consider a sequence of polynomialsG=(g_1,,g_s)G=(g\_1,\dots,g\_s) in \K[X_1,,X_n]\K[X\_1,\dots,X\_n], a polynomial matrix \F=[f_i,j]\K[X_1,,X_n]p×q\F=[f\_{i,j}] \in \K[X\_1,\dots,X\_n]^{p \times q}, with pqp \leq q,and the algebraic set V_p(F,G)V\_p(F, G) of points in \KKbar\KKbar at which all polynomials in \G\G and all pp-minors of \F\Fvanish. Such polynomial systems appear naturally in e.g. polynomial optimization, computational geometry.We provide bounds on the number of isolated points in V_p(F,G)V\_p(F, G) depending on the maxima of the degrees in rows (resp. columns) of \F\F. Next, we design homotopy algorithms for computing those points. These algorithms take advantage of the determinantal structure of the system defining V_p(F,G)V\_p(F, G). In particular, the algorithms run in time that is polynomial in the bound on the number of isolated points.

Keywords

Cite

@article{arxiv.1802.10409,
  title  = {Solving determinantal systems using homotopy techniques},
  author = {Jonathan D. Hauenstein and Mohab Safey El Din and Éric Schost and Thi Xuan Vu},
  journal= {arXiv preprint arXiv:1802.10409},
  year   = {2018}
}
R2 v1 2026-06-23T00:36:41.967Z