On Cvetković-Kostić-Varga type matrices

Lei Gao, Chaoqian Li
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Abstract

. Cvetkovi´c-Kosti´c-Varga (CKV)-type matrices play a significant role in numerical linear algebra. However, verifying whether a given matrix is a CKV-type matrix is complicated because it involves choosing a suitable subset of { 1 , 2 ,...,n } . In this paper, we give some easily computable and verifiable equivalent conditions for a CKV-type matrix, and based on these conditions, two direct algorithms with less computational cost for identifying CKV-type matrices are put forward. Moreover, by considering the matrix sparsity pattern, two classes of matrices called S -Sparse Ostrowski-Brauer type-I and type-II matrices are proposed and then proved to be subclasses of CKV-type matrices. The relationships with other subclasses of H -matrices are also discussed. Besides, a new eigenvalue localization set involving the sparsity pattern for matrices is presented, which requires less computational cost than that provided by Cvetkovi´c et al. [Linear Algebra Appl., 608 (2021), pp.158–184].
. Cvetkovi ' c-Kosti ' c-Varga (CKV)型矩阵在数值线性代数中占有重要地位。然而,验证给定矩阵是否为ckv型矩阵是复杂的,因为它涉及到选择{1,2,…,n}。本文给出了ckv型矩阵的一些易计算和可验证的等价条件,并在此基础上提出了两种计算量较小的直接识别ckv型矩阵的算法。此外,通过考虑矩阵的稀疏性模式,提出了S -Sparse Ostrowski-Brauer type-I和type-II两类矩阵,并证明了它们是ckv型矩阵的子类。讨论了H -矩阵与其他子类的关系。此外,本文还提出了一种新的包含矩阵稀疏模式的特征值定位集,它比Cvetkovi等人[线性代数应用]提供的计算成本更低。[j].科学通报,2004,第6期,第1页。
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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