Eigenvalue bounds and inequalities using vector aggregation of matrices

DOI10.1016/S0024-3795(97)00260-7zbMath0891.15012OpenAlexW2145077281WikidataQ126472536 ScholiaQ126472536MaRDI QIDQ1379086

L. Yu. Kolotilina

Publication date: 30 June 1998

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0024-3795(97)00260-7

zbMATH Keywords

eigenvalueblock matricesnormal matrixsingular valuevector aggregation

Mathematics Subject Classification ID

Inequalities involving eigenvalues and eigenvectors (15A42)

Related Items

Problems of parallel solution of large systems of linear algebraic equations, Prefiltration technique via aggregation for constructing low‐density high‐quality factorized sparse approximate inverse preconditionings, An upper bound for the largest eigenvalue of a positive semidefinite block banded matrix, Inequalities for the extreme eigenvalues of block-partitioned Hermitian matrices with applications to spectral graph theory, Optimally conditioned block matrices, Nonsingularity/singularity criteria for nonstrictly block diagonally dominant matrices.

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