2015
DOI: 10.1016/j.laa.2014.10.028
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Hermitian-adjacency matrices and Hermitian energies of mixed graphs

Abstract: A complex adjacency matrix of a mixed graph is introduced in the present paper, which is a Hermitian matrix and called the Hermitian-adjacency matrix. It incorporates both adjacency matrix of an undirected graph and skew-adjacency matrix of an oriented graph. Some of its properties are studied. Furthermore, properties of its characteristic polynomial are studied. Cospectral problems among mixed graphs, including mixed graphs and their underlying graphs, oriented graphs and their underlying graphs, are studied.… Show more

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Cited by 154 publications
(139 citation statements)
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“…In particular, the expression for cn2 from Theorem yields the result in Corollary since all basic graphs of order 2 are single edges. Using this theorem, we also obtain the following corollary, which has also been used in . Corollary Suppose that {u,v} is a digon in X .…”
Section: Basic Propertiesmentioning
confidence: 86%
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“…In particular, the expression for cn2 from Theorem yields the result in Corollary since all basic graphs of order 2 are single edges. Using this theorem, we also obtain the following corollary, which has also been used in . Corollary Suppose that {u,v} is a digon in X .…”
Section: Basic Propertiesmentioning
confidence: 86%
“…In this article, we investigate basic properties of the Hermitian adjacency matrix, complementary to the results of Liu and Li . We observe that the largest eigenvalue of the Hermitian adjacency matrix is upper bounded by the maximum degree of the underlying graph and we characterize the case when equality is attained (see Theorem ).…”
Section: Introductionmentioning
confidence: 94%
“…Since each cycle of the subgraph is a cycle of the positive mixed graph, the following is immediate. 1 and V 2 such that every edge within V 1 or V 2 is undirected, every edge between V 1 and V 2 is directed and all orientations are from V 1 to V 2 or from V 2 to V 1 .…”
Section: The Positive Of Mixed Graphsmentioning
confidence: 99%
“…This matrix was introduced by Liu and Li [1] and independently by Guo and Mohar [2]. We will denote by λ i (M) the jth largest eigenvalue of H(M) (multiplicities counted).…”
Section: Introductionmentioning
confidence: 99%
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