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Some Upper Bounds for the Net Laplacian Index of a Signed Graph
Bulletin of the Iranian Mathematical Society ( IF 0.7 ) Pub Date : 2021-02-11 , DOI: 10.1007/s41980-020-00514-2
Farzaneh Ramezani , Zoran Stanić

The net Laplacian matrix \(N_{\dot{G}}\) of a signed graph \(\dot{G}\) is defined as \(N_{\dot{G}}=D_{\dot{G}}^{\pm }-A_{\dot{G}}\), where \(D_{\dot{G}}^{\pm }\) and \(A_{\dot{G}}\) denote the diagonal matrix of net-degrees and the adjacency matrix of \(\dot{G}\), respectively. In this study, we give two upper bounds for the largest eigenvalue of \(N_{\dot{G}}\), both expressed in terms related to vertex degrees. We also discuss their quality, provide certain comparisons and consider some particular cases.



中文翻译:

签名图的净拉普拉斯指数的一些上限

有符号图\(\ dot {G} \)的净拉普拉斯矩阵\(N _ {\ dot {G}} \)定义为\(N _ {\ dot {G}} = D _ {\ dot {G} } ^ {\ pm} -A _ {\ dot {G}} \),其中\(D _ {\ dot {G}} ^ {\ pm} \)\(A _ {\ dot {G}} \)表示净度的对角矩阵和\(\ dot {G} \)的邻接矩阵。在这项研究中,我们给出了\(N _ {\ dot {G}} \)的最大特征值的两个上限,两者均以与顶点度有关的术语表示。我们还将讨论它们的质量,提供一些比较并考虑一些特殊情况。

更新日期:2021-02-11
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