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Intrinsic products and factorizations of matrices

机译:矩阵的内积和因式分解

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We say that the product of a row vector and a column vector is intrinsic if there is at most one nonzero product of corresponding coordinates. Analogously we speak about intrinsic product of two or more matrices, as well as about intrinsic factorizations of matrices. Since all entries of the intrinsic product are products of entries of the multiplied matrices, there is no addition. We present several examples, together with important applications. These applications include companion matrices and sign-nonsingular matrices. (C) 2007 Elsevier Inc. All rights reserved.
机译:我们说,如果最多有一个对应坐标的非零乘积,则行向量和列向量的乘积是固有的。类似地,我们谈论两个或多个矩阵的内在乘积,以及矩阵的内在因式分解。由于本征乘积的所有条目都是相乘矩阵的条目的乘积,因此没有加法。我们提供一些示例以及重要的应用程序。这些应用程序包括伴随矩阵和符号非奇异矩阵。 (C)2007 Elsevier Inc.保留所有权利。

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