Computing Critical Points for Algebraic Systems Defined by Hyperoctahedral Invariant Polynomials

被引:0
作者
Vu, Thi Xuan [1 ]
机构
[1] Arct Univ Norway, Dept Math & Stat, UiT, Tromso, Norway
来源
PROCEEDINGS OF THE 2022 INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND ALGEBRAIC COMPUTATION, ISSAC 2022 | 2022年
关键词
Invariant polynomials; hyperoctahedral groups; critical points; complexity analysis; PROBABILISTIC ALGORITHM; REAL; COMPLEXITY;
D O I
10.1145/3476446.3536181
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Let K be a field of characteristic zero and K[x(1), . . . , x(n)] the corresponding multivariate polynomial ring. Given a sequence of s polynomials f = (f(1), . . . , f(s)) and a polynomial phi, all in K[x(1), . . . , x(n)] with s < n, we consider the problem of computing the set W (phi, f) of points at which f vanishes and the Jacobian matrix of f, phi with respect to x(1), . . . , x(n) does not have full rank. This problem plays an essential role in many application areas. In this paper we focus on a case where the polynomials are all invariant under the action of the signed symmetric group B-n. We introduce a notion called hyperoctahedral representation to describe B-n-invariant sets. We study the invariance properties of the input polynomials to split W (phi, f) according to the orbits of B-n and then design an algorithm whose output is a hyperoctahedral representation of W (phi, f). The runtime of our algorithm is polynomial in the total number of points described by the output.
引用
收藏
页码:167 / 175
页数:9
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