核心逆的新扩展

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
D. Mosić , D.E. Ferreyra
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引用次数: 0

摘要

已知广义逆的乘积代表了核心逆的许多扩展,如核心-EP 逆、DMP 逆、GC 逆等。然而,它们都不是矩阵的内逆,特别是对于任意零能矩阵,这些逆总是空的。我们的目标是使用一种新技术来引入核心逆的扩展,它保留了作为矩阵内逆的有趣性质,而不一定是零能矩阵的空矩阵。我们定义了平方复矩阵的扩展核心逆,它结合了三个已知广义逆的和与差。我们发展了扩展核心逆的各种性质和表示方法。我们还研究了扩展双核逆。我们应用扩展核心逆来解决一些线性方程组和一个最小化问题。一个与最小二乘法求解有关的重要正则方程可以用扩展核心逆求解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new extension of the core inverse
There are a number of extensions of the core inverse represented by the products of known generalized inverses, like the core-EP inverse, DMP inverse, GC inverse and so on. However, none of them is an inner inverse of the matrix, and especially for an arbitrary nilpotent matrix, such inverses are always null. Our goal is to use a new technic to introduce an extension of the core inverse that preserves the interesting property of being an inner inverse of the matrix which need not necessarily be the null matrix of a nilpotent matrix. We define the extended core inverse for square complex matrices combining the sum and the difference of three known generalized inverses. Various properties and representations of the extended core inverse are developed. The extended dual core inverse is investigated too. We apply the extended core inverse to solve some systems of linear equations and one minimization problem. A significant normal equation related to least-squares solutions can be solved using the extended core inverse.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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