On the construction of real non-selfadjoint tridiagonal matrices with prescribed three spectra

Wei-Ru Xu, N. Bebiano, Guoliang Chen
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引用次数: 7

Abstract

Non-selfadjoint tridiagonal matrices play a role in the discretization and truncation of the Schrödinger equation in some extensions of quantum mechanics, a research field particularly active in the last two decades. In this article, we consider an inverse eigenvalue problem that consists of the reconstruction of such a real nonselfadjoint matrix from its prescribed eigenvalues and those of two complementary principal submatrices. Necessary and sufficient conditions under which the problem has a solution are presented, and uniqueness is discussed. The reconstruction is performed by using a modified unsymmetric Lanczos algorithm, designed to solve the proposed inverse eigenvalue problem. Some illustrative numerical examples are given to test the efficiency and feasibility of our reconstruction algorithm.
具有规定三谱的实非自伴三对角矩阵的构造
在量子力学的一些扩展中,非自伴三对角矩阵在Schrödinger方程的离散化和截断中起着重要作用,这是近二十年来特别活跃的一个研究领域。在本文中,我们考虑了一个由这样一个实非自伴矩阵的规定特征值和两个互补主子矩阵的规定特征值重构的逆特征值问题。给出了问题有解的充分必要条件,并讨论了唯一性。利用改进的非对称Lanczos算法进行重构,该算法旨在解决所提出的特征值反问题。算例验证了重构算法的有效性和可行性。
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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