2018
DOI: 10.1016/j.laa.2018.01.020
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Spectra, signless Laplacian and Laplacian spectra of complementary prisms of graphs

Abstract: The complementary prism GG of a graph G is obtained from the disjoint union of G and its complement G by adding an edge for each pair of vertices (v, v), where v is in G and its copy v is in G. The Petersen graph C5C5 and, for n ≥ 2, the corona product of Kn and K1 which is KnKn are examples of complementary prisms. This paper is devoted to the computation of eigenpairs of the adjacency, the signless Laplacian and the Laplacian matrices of a complementary prism GG in terms of the eigenpairs of the correspondin… Show more

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Cited by 13 publications
(9 citation statements)
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“…while the edge set E(Γ Γ) is the union of the sets [5,Theorem 3.6]). For a general graph Γ the core of its complementary prism Γ Γ was recently studied in [22] (see also the arXiv version [26]).…”
Section: Preliminariesmentioning
confidence: 99%
“…while the edge set E(Γ Γ) is the union of the sets [5,Theorem 3.6]). For a general graph Γ the core of its complementary prism Γ Γ was recently studied in [22] (see also the arXiv version [26]).…”
Section: Preliminariesmentioning
confidence: 99%
“…Clearly, if Γ has n vertices, then Γ Γ is regular if and only if Γ is ( n−1 2 )-regular (see also [14,Theorem 3.6]). In this case Γ Γ is ( n+12 )-regular.…”
Section: Sketch Of the Proofmentioning
confidence: 99%
“…The complementary prism was introduced in [49]. Despite it was studied in several papers (see for example [1,8,13,14,15,16,17,19,23,24,28,45,49,50,87,93,118]) it turns out that many important graph invariants of a complementary prism are not determined yet. One such invariant is the automorphism group Aut(Γ Γ), which we describe for arbitrary finite simple graph Γ.…”
Section: Introductionmentioning
confidence: 99%
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“…In particular, the Petersen graph is the complementary prism 𝐶 5 𝐶 5 and 𝐾 𝑛 •𝐾 1 is the complementary prism 𝐾 𝑛 𝐾 𝑛 . From a structural geometrical point of view, complementary prism networks have been studied through their properties and indices (see chromatic index [2], domination number [3], cycle structure [4], complexity properties [5], spectral properties [6], convexity number [7], chromatic number [8], etc. ).…”
Section: Introductionmentioning
confidence: 99%