On the eigenvalue-separation properties of real tridiagonal matrices

IF 1.1 Q1 MATHEMATICS
Yan WU, Ludwig KOHAUPT
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引用次数: 0

Abstract

In this paper, we give a simple sufficient condition for the eigenvalue-separation properties of real tridiagonal matrices T. This result is much more than the statement that the pertinent eigenvalues are distinct. Its derivation is based on recurrence formulae satisfied by the polynomials made up by the minors of the characteristic polynomial det(xE-T) that are proven to form a Sturm sequence. This is a new result, and it proves the simple spectrum property of a symmetric tridiagonal matrix studied in Grünbaum's paper. Two numerical examples underpin the theoretical findings. The style of the paper is expository in order to address a large readership.
实数三对角矩阵的特征值分离性质
本文给出了实三对角矩阵t的特征值分离性质的一个简单的充分条件,这个结果比有关特征值不相交的陈述要重要得多。它的推导是基于由特征多项式det(xE-T)的次多项式组成的多项式所满足的递推公式,这些多项式被证明形成了一个Sturm序列。这是一个新的结果,它证明了gr nbaum论文中研究的对称三对角矩阵的简单谱性质。两个数值例子支持理论发现。这篇报纸的风格是说明性的,以便吸引大量的读者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Constructive Mathematical Analysis
Constructive Mathematical Analysis Mathematics-Analysis
CiteScore
2.40
自引率
0.00%
发文量
18
审稿时长
6 weeks
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