Sylvester matrix equation under the semi-tensor product of matrices

P. Chansangiam, S. Sabau
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引用次数: 2

Abstract

We investigate the Sylvester matrix equation in which the product is given by the semi-tensor product, and all involved matrices are matrices over an arbitrary field. We discuss necessary/sufficient condition(s) for the matrix equation to have a solution or a unique solution, or infinitely many solutions. These conditions concern ranks and linear independence. Moreover, we apply a certain kind of vectorization and matrix partitioning to transform the Sylvester equation into an equivalent linear system with respect to the conventional matrix product. Our study includes the Lyapunov equation and the equation A ⋉ X = C as special cases.
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西尔维斯特矩阵方程下矩阵的半张量积
研究了其乘积由半张量积给出的Sylvester矩阵方程,其中所涉及的矩阵都是任意域上的矩阵。讨论了矩阵方程有解、有唯一解、有无穷多个解的充分必要条件。这些条件涉及等级和线性独立性。此外,我们应用某种向量化和矩阵分划将Sylvester方程转化为一个关于常规矩阵积的等价线性系统。我们的研究包括Lyapunov方程和方程A × X = C作为特例。
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
2
审稿时长
>12 weeks
期刊介绍: This journal is devoted to the publication of original papers of moderate length addressed to a broad mathematical audience. It publishes results of original research and research-expository papers in all fields of mathematics.
期刊最新文献
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