2019
DOI: 10.1016/j.disc.2018.09.016
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Cographs: Eigenvalues and Dilworth number

Abstract: A cograph is a simple graph which contains no path on 4 vertices as an induced subgraph. The vicinal preorder on the vertex set of a graph is defined in terms of inclusions among the neighborhoods of vertices. The minimum number of chains with respect to the vicinal preorder required to cover the vertex set of a graph G is called the Dilworth number of G. We prove that for any cograph G, the multiplicity of any eigenvalue λ = 0, −1, does not exceed the Dilworth number of G and show that this bound is tight. G.… Show more

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Cited by 7 publications
(2 citation statements)
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References 21 publications
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“…its collection M (κ) of minimal hereditary subclasses of cographs where κ is unbounded, and the parameters are compared by their strength. There are many other interesting parameters that are unbounded in the class of cographs, such as Dilworth number [29], distinguishing number [9], shrub-depth [28], rank [15], metric dimension [46], etc. However, surprisingly, there are not so many "interesting" subclasses of cographs that appear in the characterisation of those parameters.…”
Section: Contiguitymentioning
confidence: 99%
“…its collection M (κ) of minimal hereditary subclasses of cographs where κ is unbounded, and the parameters are compared by their strength. There are many other interesting parameters that are unbounded in the class of cographs, such as Dilworth number [29], distinguishing number [9], shrub-depth [28], rank [15], metric dimension [46], etc. However, surprisingly, there are not so many "interesting" subclasses of cographs that appear in the characterisation of those parameters.…”
Section: Contiguitymentioning
confidence: 99%
“…From the spectral point of view, Jung [21] introduced an algorithm for locating eigenvalues of cographs in a given interval. Ghorbani [14] provided a new characterization of cographs, and further properties of the eigenvalues (of the adjacency matrix) of a cograph were explored, e.g., by Ghorbani [13], Mohammadian and Trevisan [23], and Jacobs et [20].…”
Section: Definition 19mentioning
confidence: 99%