多值3 × 3矩阵的一种新的分解

IF 0.9 4区 数学 Q4 PHYSICS, MATHEMATICAL Random Matrices-Theory and Applications Pub Date : 2022-04-12 DOI:10.1142/s2010326322500289
A. Ammar, A. Jeribi, B. Saadaoui
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引用次数: 0

摘要

本文研究了Banach空间中块关系矩阵的一个新概念。在一定条件下,我们可以研究关系矩阵的Frobenius-Schur分解。进一步,我们给出了允许多值[公式:见文本]矩阵线性算子可闭的一些条件。
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A new decomposition for multivalued 3 × 3 matrices
In this paper, a new concept for a [Formula: see text] block relation matrix is studied in a Banach space. It is shown that, under certain condition, we can investigate the Frobenius–Schur decomposition of relation matrices. Furthermore, we present some conditions which should allow the multivalued [Formula: see text] matrices linear operator to be closable.
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来源期刊
Random Matrices-Theory and Applications
Random Matrices-Theory and Applications Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.90
自引率
11.10%
发文量
29
期刊介绍: Random Matrix Theory (RMT) has a long and rich history and has, especially in recent years, shown to have important applications in many diverse areas of mathematics, science, and engineering. The scope of RMT and its applications include the areas of classical analysis, probability theory, statistical analysis of big data, as well as connections to graph theory, number theory, representation theory, and many areas of mathematical physics. Applications of Random Matrix Theory continue to present themselves and new applications are welcome in this journal. Some examples are orthogonal polynomial theory, free probability, integrable systems, growth models, wireless communications, signal processing, numerical computing, complex networks, economics, statistical mechanics, and quantum theory. Special issues devoted to single topic of current interest will also be considered and published in this journal.
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