1990
DOI: 10.1016/0024-3795(90)90026-9
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A combinatorial converse to the Perron-Frobenius theorem

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Cited by 19 publications
(16 citation statements)
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“…As it is remarked in [3], the sign-patterns P whose signed digraphs have a positive cycle are exactly those that allow the spectral radius be an eigenvalue. In other words, allowing a positive eigenvalue is equivalent to allowing the spectral radius be an eigenvalue.…”
mentioning
confidence: 77%
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“…As it is remarked in [3], the sign-patterns P whose signed digraphs have a positive cycle are exactly those that allow the spectral radius be an eigenvalue. In other words, allowing a positive eigenvalue is equivalent to allowing the spectral radius be an eigenvalue.…”
mentioning
confidence: 77%
“…The classical result that the spectral radius is an eigenvalue of any (entrywise) nonnegative matrix follows readily. A combinatorial converse of the latter is shown in Eschenbach and Johnson [3], where the authors prove that the sign-pattern class of a matrix requires the spectral radius to be an eigenvalue if and only if all the cycles in its signed digraph are positive.…”
Section: Introductionmentioning
confidence: 97%
“…In [7], as we already mentioned, the Perron property stands for having the spectral radius as an eigenvalue, whereas, in [11] the weak Perron property stands for having the spectral radius as a simple positive and strictly dominant eigenvalue. In [19], the Perron-Frobenius property stands for having the spectral radius as a positive eigenvalue with a nonnegative eigenvector; this is also the definition used in [6].…”
Section: Elamentioning
confidence: 95%
“…Details regarding the following lemma can be found in [2] and in [3]. Lemma 1.3 Let A ∈ M n (IR) be an irreducible matrix.…”
Section: Introductionmentioning
confidence: 99%