A note on pairs of matrices with product zero

Charles R. Johnson
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引用次数: 1

Abstract

The independence of YI and Y2 is, in a straightforward way, equivalent toA+B havingeigenvalues Al ... , An, and Theorem I (which was first noted by Craig [3]) is sufficiently fundamental that generally it is now at least stated in advanced texts. For example, a portion of a proof is given in [4]. Apparently in ignorance of [3,4,5], an alternate proof of Theorem I is given in [1]. Our goal is to give a generalization of Theorem I whose proof is quite simple. In addition to including a rat]~er different proof of Theorem I, our observation points out that the symmetry of A and B is not an essential assumption. We recall that the singular values of a general complex matrix A are, by definition, the nonnegative square roots of the eigenvalues of A*A. A good general reference on the singular values decomposition of a matrix is [6].
关于乘积为0的矩阵对的注释
简单来说,YI和Y2的独立性等价于a +B具有特征值Al…定理1(最早由Craig[3]提出)是非常基本的,现在至少在高级文本中有陈述。例如,在[4]中给出了证明的一部分。显然忽略了[3,4,5],定理1的另一种证明在[1]中给出。我们的目标是给出定理1的推广,它的证明非常简单。除了包含定理1的不同证明之外,我们的观察还指出,a和B的对称性并不是一个基本假设。我们记得,一般复矩阵a的奇异值,根据定义,是a * a的特征值的非负平方根。关于矩阵奇异值分解的一个很好的一般参考文献是[6]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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