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Eigenvalue bounds and inequalities using vector aggregation of matrices

✍ Scribed by L.Yu. Kolotilina


Book ID
104156168
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
976 KB
Volume
271
Category
Article
ISSN
0024-3795

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## Abstract Eigenvalue bounds are provided. It is proved that the minimal eigenvalue of a __Z__‐matrix strictly diagonally dominant with positive diagonals lies between the minimal and the maximal row sums. A similar upper bound does not hold for the minimal eigenvalue of a matrix strictly diagonal