关于奇异 k 带状矩阵的摩尔-彭罗斯逆的秩结构

IF 1 3区 数学 Q1 MATHEMATICS Linear Algebra and its Applications Pub Date : 2024-08-21 DOI:10.1016/j.laa.2024.08.011
M.I. Bueno , Susana Furtado
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引用次数: 0

摘要

对于 n×n 奇异 k 带复矩阵 B,B 的摩尔-彭罗斯逆 B† 的子矩阵严格位于其第 k 个超对角线(或第 k 个次对角线)的下方(或上方),具有一定的有界秩 s,该秩取决于 n、k 和 rankB。在这种情况下,B† 满足半可分性条件。本文的重点是奇异的严格 k 带复矩阵 B,我们将证明这种矩阵的摩尔-彭罗斯逆满足一个更强的条件,即生成器可表示性。这意味着存在两个秩最多为 s 的矩阵,它们的第 k 条对角线以下(或第 k 条对角线以上)部分与 B† 的相同部分重合。当 n≥3k 时,我们证明 s 正是这两个矩阵的最小秩。我们还通过实例说明,当 n<3k 时,这些矩阵的秩可能小于 s。
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On the rank structure of the Moore-Penrose inverse of singular k-banded matrices

It is well-established that, for an n×n singular k-banded complex matrix B, the submatrices of the Moore-Penrose inverse B of B located strictly below (resp. above) its kth superdiagonal (resp. kth subdiagonal) have a certain bounded rank s depending on n, k and rankB. In this case, B is said to satisfy a semiseparability condition. In this paper our focus is on singular strictly k-banded complex matrices B, and we show that the Moore-Penrose inverse of such a matrix satisfies a stronger condition, called generator representability. This means that there exist two matrices of rank at most s whose parts strictly below the kth diagonal (resp. above the kth subdiagonal) coincide with the same parts of B. When n3k, we prove that s is precisely the minimum rank of these two matrices. We also illustrate through examples that when n<3k those matrices may have rank less than s.

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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
333
审稿时长
13.8 months
期刊介绍: Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.
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