加权图中的强共谱性和双顶点

IF 0.7 4区 数学 Q2 Mathematics Electronic Journal of Linear Algebra Pub Date : 2021-11-01 DOI:10.13001/ela.2022.6721
Hermie Monterde
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引用次数: 5

摘要

我们探索了包含双顶点的加权图的代数和谱性质,这些性质在量子态转移中很有用。我们将邻接强共谱的概念推广到Hermitian矩阵,重点讨论了广义邻接矩阵和广义归一化邻接矩阵。然后,我们确定了使加权图中的一对孪顶点相对于上述矩阵表现出强共谱性的充要条件。我们还确定在图的笛卡尔积和直积下何时保持强共谱性。此外,我们推广了关于公平和几乎公平划分的已知结果,并使用这些结果来确定形式为$X\vee H$的哪些连接,其中$X$是完整图或空图,表现出强共谱性。
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Strong cospectrality and twin vertices in weighted graphs
We explore algebraic and spectral properties of weighted graphs containing twin vertices that are useful in quantum state transfer. We extend the notion of adjacency strong cospectrality to Hermitian matrices, with focus on the generalized adjacency matrix and the generalized normalized adjacency matrix. We then determine necessary and sufficient conditions such that a pair of twin vertices in a weighted graph exhibits strong cospectrality with respect to the above-mentioned matrices. We also determine when strong cospectrality is preserved under Cartesian and direct products of graphs. Moreover, we generalize known results about equitable and almost equitable partitions and use these to determine which joins of the form $X\vee H$, where $X$ is either the complete or empty graph, exhibit strong cospectrality.
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来源期刊
CiteScore
1.20
自引率
14.30%
发文量
45
审稿时长
6-12 weeks
期刊介绍: The journal is essentially unlimited by size. Therefore, we have no restrictions on length of articles. Articles are submitted electronically. Refereeing of articles is conventional and of high standards. Posting of articles is immediate following acceptance, processing and final production approval.
期刊最新文献
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