The common invariant subspace problem: an approach via Grobner bases

被引:13
作者
Arapura, D
Peterson, C [1 ]
机构
[1] Colorado State Univ, Dept Math, Ft Collins, CO 80523 USA
[2] Purdue Univ, Dept Math, W Lafayette, IN 47907 USA
基金
美国国家科学基金会;
关键词
eigenvector; invariant subspace; Grassmann variety; Grobner basis; algorithm;
D O I
10.1016/j.laa.2003.03.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Let A be an n x n matrix. It is a relatively simple process to construct a homogeneous ideal (generated by quadrics) whose associated projective variety parametrizes the one-dimensional invariant subspaces of A. Given a finite collection of n x n matrices, one can similarly construct a homogeneous ideal (again generated by quadrics) whose associated projective variety parametrizes the one-dimensional subspaces which are invariant subspaces for every member of the collection. Grobner basis techniques then provide a finite, rational algorithm to determine how many points are on this variety. In other words, a finite, rational algorithm is given to determine both the existence and quantity of common one-dimensional invariant subspaces to a set of matrices. This is then extended, for each d, to an algorithm to determine both the existence and quantity of common d-dimensional invariant subspaces to a set of matrices. (C) 2004 Published by Elsevier Inc.
引用
收藏
页码:1 / 7
页数:7
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