2000
DOI: 10.1007/978-1-4757-3165-1
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Matrices in Combinatorics and Graph Theory

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Cited by 32 publications
(14 citation statements)
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“…Therefore, matrix B is a doubly stochastic matrix, and it has a largest eigenvalue 1 and an eigenvector ½1 1 Á Á Á 1 T corresponding to the largest eigenvalue [26]. Since the associated graph of matrix M (also matrix B) is strongly connected (for each entry ði; jÞ in matrix M there exists an integer k), matrix B is an irreducible matrix.…”
Section: Proof Consider the Matrixmentioning
confidence: 98%
“…Therefore, matrix B is a doubly stochastic matrix, and it has a largest eigenvalue 1 and an eigenvector ½1 1 Á Á Á 1 T corresponding to the largest eigenvalue [26]. Since the associated graph of matrix M (also matrix B) is strongly connected (for each entry ði; jÞ in matrix M there exists an integer k), matrix B is an irreducible matrix.…”
Section: Proof Consider the Matrixmentioning
confidence: 98%
“…In this paper, we follow the terminology and notation used in [3,7]. A Boolean matrix is a matrix over the binary Boolean algebra {0, 1}.…”
Section: Preliminaries and Notationsmentioning
confidence: 99%
“…The smallest such l is called the exponent of D, denoted by exp(D). Exponents have been studied by several researchers [3,7,8,9,10].…”
Section: Preliminaries and Notationsmentioning
confidence: 99%
“…However, for digraphs whose competition periods are not one, there are significant differences between their competition indices and ordinary indices. In the case of the ordinary index, it is well known that index(D) ≤ (n − 2) 2 + 2 for a reducible digraph D of order n, [7,9]. This implies that the index of a Wielandt digraph is the maximum possible index among indices of digraphs of order n. However, in the case of a competition index, the similarity between the properties does not hold.…”
Section: Closing Remarkmentioning
confidence: 99%