带矩阵特征值反问题的一种改进算法

IF 0.7 4区 数学 Q2 Mathematics Electronic Journal of Linear Algebra Pub Date : 2022-12-03 DOI:10.13001/ela.2022.7475
Kanae Akaiwa, Akira Yoshida, Koichi Kondo
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引用次数: 0

摘要

具有规定特征值的矩阵的构造是一类特征值逆问题。作者基于扩展的离散饥饿Toda方程(Numer.Algor.75:1079--11012017),提出了一种构造具有规定特征值的带振荡矩阵的算法。本文在推广离散饥饿Toda方程的基础上,提出了一种构造具有规定特征值的带矩阵的新算法。新算法改进了以前的算法,使得在某种意义上,新算法可以产生比以前算法更多的通用带矩阵。我们通过算例将新算法与以前的算法进行了比较。特别是,我们给出了一个带振荡矩阵的例子,新算法可以产生,而以前的算法不能。
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An improved algorithm for solving an inverse eigenvalue problem for band matrices
The construction of matrices with prescribed eigenvalues is a kind of inverse eigenvalue problems. The authors proposed an algorithm for constructing band oscillatory matrices with prescribed eigenvalues based on the extended discrete hungry Toda equation (Numer. Algor. 75:1079--1101, 2017). In this paper, we develop a new algorithm for constructing band matrices with prescribed eigenvalues based on a generalization of the extended discrete hungry Toda equation. The new algorithm improves the previous algorithm so that the new one can produce more generic band matrices than the previous one in a certain sense. We compare the new algorithm with the previous one by numerical examples. Especially, we show an example of band oscillatory matrices which the new algorithm can produce but the previous one cannot.
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来源期刊
CiteScore
1.20
自引率
14.30%
发文量
45
审稿时长
6-12 weeks
期刊介绍: The journal is essentially unlimited by size. Therefore, we have no restrictions on length of articles. Articles are submitted electronically. Refereeing of articles is conventional and of high standards. Posting of articles is immediate following acceptance, processing and final production approval.
期刊最新文献
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