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Let(L, less than or equal to, boolean OR, boolean AND) be a complete and completely distributive lattice. A vector xi is said to be an eigenvector of a square matrix A over the lattice L if A xi = lambda xi for some lambda is an element of L. The elements lambda are called the associated eigenvalues. In this paper we characterize the eigenvalues and the eigenvectors and also the roots of the characteristic equation of A. (C) 1998 Elsevier Science Inc. All rights reserved.
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LINEAR ALGEBRA AND ITS APPLICATIONS
ISSN: 0024-3795
Year: 1998
Issue: 1-3
Volume: 283
Page: 257-272
0 . 3 9 2
JCR@1998
1 . 0 0 0
JCR@2023
ESI Discipline: MATHEMATICS;
JCR Journal Grade:3
Cited Count:
WoS CC Cited Count: 32
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2
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