Bilinear Systems with Two Supports: Koszul Resultant Matrices, Eigenvalues, and Eigenvectors

M. Bender, J. Faugère, Angelos Mantzaflaris, Elias P. Tsigaridas
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引用次数: 7

Abstract

A fundamental problem in computational algebraic geometry is the computation of the resultant. A central question is when and how to compute it as the determinant of a matrix whose elements are the coefficients of the input polynomials up-to sign. This problem is well understood for unmixed multihomogeneous systems, that is for systems consisting of multihomogeneous polynomials with the same support. However, little is known for mixed systems, that is for systems consisting of polynomials with different supports. We consider the computation of the multihomogeneous resultant of bilinear systems involving two different supports. We present a constructive approach that expresses the resultant as the exact determinant of a Koszul resultant matrix, that is a matrix constructed from maps in the Koszul complex. % We exploit the resultant matrix to propose an algorithm to solve such systems. In the process we extend the classical eigenvalues and eigenvectors criterion to a more general setting. Our extension of the eigenvalues criterion applies to a general class of matrices, including the Sylvester-type and the Koszul-type ones.
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双支持双线性系统:Koszul结矩阵,特征值和特征向量
计算代数几何中的一个基本问题是结果的计算。一个核心问题是何时以及如何计算它作为一个矩阵的行列式,其元素是输入多项式的系数。对于非混合多齐次系统,即由具有相同支撑的多齐次多项式组成的系统,这个问题是很容易理解的。然而,对于混合系统,即由具有不同支撑点的多项式组成的系统,知之甚少。考虑了双线性系统的多重齐次结的计算。我们提出了一种建设性的方法,将结果表示为Koszul合成矩阵的精确行列式,这是一个由Koszul复合体中的映射构造的矩阵。我们利用所得到的矩阵来提出一种求解这种系统的算法。在此过程中,我们将经典的特征值和特征向量准则推广到更一般的情况。我们对特征值准则的推广适用于一般的矩阵,包括sylvester型和koszul型矩阵。
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