2016
DOI: 10.1016/j.laa.2016.04.030
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Eigenvalue location for chain graphs

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Cited by 33 publications
(40 citation statements)
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“…Proof: Let D be the matrix of H given by (1). We will prove the case n even, the case n odd follows a similar way.…”
Section: An Explicity Formula For P G (X)mentioning
confidence: 93%
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“…Proof: Let D be the matrix of H given by (1). We will prove the case n even, the case n odd follows a similar way.…”
Section: An Explicity Formula For P G (X)mentioning
confidence: 93%
“…, t l ) ∈ I n,l then t i ≡ n + i − l (mod 2). In other words, elements in I n,l are increasing sequences alternating even and odds numbers such that the last term has the same than parity n. For instance while I 6,4 = {(1, 2, 3, 4), (1,2,3,6), (1,2,5,6), (1,4,5,6), (3,4,5,6)}.…”
Section: An Explicity Formula For P G (X)mentioning
confidence: 99%
“…Let W be the eigenspace corresponding to λ. If for each x ∈ W , we have x(v) = 0, then v cannot be a downer vertex as for any x ∈ W , the vector x ′ obtained by deleting the v-th component, is a λ-eigenvector of G − v, and therefore we have The rest of the paper is organized as follows: in Section 2 we give some particular results about vertex types in threshold graphs, while in Section 3 we put focus on chain graphs, and among others we disprove Conjecture 3.1 from [1], which states that in any chain graph, every vertex is a downer with respect to every non-zero eigenvalue. Besides we point out that some weak versions of the same conjecture are true.…”
Section: Remark 12mentioning
confidence: 96%
“…A question raises whether they can have neutral vertices. In [1] it is conjectured that this cannot be the case.…”
Section: Vertex Types In Chain Graphsmentioning
confidence: 99%
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