eigenvalues of graphs
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2022 ◽  
Vol 345 (1) ◽  
pp. 112633
Author(s):  
Shuchao Li ◽  
Wanting Sun ◽  
Yuantian Yu

2021 ◽  
Vol 54 ◽  
Author(s):  
Shariefuddin Pirzada ◽  
Saleem Khan

Let $G$ be a connected graph with $n$ vertices, $m$ edges and having diameter $d$. The distance Laplacian matrix $D^{L}$ is defined as $D^L=$Diag$(Tr)-D$, where Diag$(Tr)$ is the diagonal matrix of vertex transmissions and $D$ is the distance matrix of $G$. The distance Laplacian eigenvalues of $G$ are the eigenvalues of $D^{L}$ and are denoted by $\delta_{1}, ~\delta_{1},~\dots,\delta_{n}$. In this paper, we obtain (a) the upper bounds for the sum of $k$ largest and (b) the lower bounds for the sum of $k$ smallest non-zero, distance Laplacian eigenvalues of $G$ in terms of order $n$, diameter $d$ and Wiener index $W$ of $G$. We characterize the extremal cases of these bounds. As a consequence, we also obtain the bounds for the sum of the powers of the distance Laplacian eigenvalues of $G$.


2021 ◽  
Vol 408 ◽  
pp. 126365
Author(s):  
Tao Cheng ◽  
Lihua Feng ◽  
Weijun Liu ◽  
Lu Lu

2021 ◽  
Vol 611 ◽  
pp. 135-147
Author(s):  
Zhen-Mu Hong ◽  
Zheng-Jiang Xia ◽  
Hong-Jian Lai ◽  
Ruifang Liu

Author(s):  
Akbar Jahanbani

Let G be a graph with n vertices and let 1; 2; : : : ; n be the eigenvalues of Randic matrix. The Randic Estrada index of G is REE(G) = Ón i=1 ei . In this paper, we establish lower and upper bounds for Randic index in terms of graph invariants such as the number of vertices and eigenvalues of graphs and improve some previously published lower bounds.


2020 ◽  
Vol 607 ◽  
pp. 319-340 ◽  
Author(s):  
Zhen-Mu Hong ◽  
Hong-Jian Lai ◽  
Zheng-Jiang Xia

Author(s):  
Saieed Akbari ◽  
Seyran Azizi ◽  
Modjtaba Ghorbani ◽  
Xueliang Li

2020 ◽  
Vol 36 (36) ◽  
pp. 645-657
Author(s):  
Jie Xue ◽  
Ruifang Liu ◽  
Guanglong Yu ◽  
Jinlong Shu

For a graph $G$ and real number $\alpha\in [0,1]$, the $A_{\alpha}$-matrix of $G$ is defined as $A_{\alpha}(G)=\alpha D(G)+(1-\alpha)A(G),$ where $A(G)$ is the adjacency matrix of $G$ and $D(G)$ is the diagonal matrix of the vertex degrees of $G$. In this paper, the largest multiplicity of the $A_{\alpha}$-eigenvalues of a broom tree is considered, and all graphs with an $A_{\alpha}$-eigenvalue of multiplicity at least $n-2$ are characterized.


Author(s):  
Hilal A. Ganie ◽  
Abdollah Alhevaz ◽  
Maryam Baghipur

In this paper, we study the generalized distance matrix [Formula: see text] assigned to simple connected graph [Formula: see text], which is the convex combinations of Tr[Formula: see text] and [Formula: see text] and defined as [Formula: see text] where [Formula: see text] and Tr[Formula: see text] denote the distance matrix and diagonal matrix of the vertex transmissions of a simple connected graph [Formula: see text], respectively. Denote with [Formula: see text], the generalized distance eigenvalues of [Formula: see text]. For [Formula: see text], let [Formula: see text] and [Formula: see text] be, respectively, the sum of [Formula: see text]-largest generalized distance eigenvalues and the sum of [Formula: see text]-smallest generalized distance eigenvalues of [Formula: see text]. We obtain bounds for [Formula: see text] and [Formula: see text] in terms of the order [Formula: see text], the Wiener index [Formula: see text] and parameter [Formula: see text]. For a graph [Formula: see text] of diameter 2, we establish a relationship between the [Formula: see text] and the sum of [Formula: see text]-largest generalized adjacency eigenvalues of the complement [Formula: see text]. We characterize the connected bipartite graph and the connected graphs with given independence number that attains the minimum value for [Formula: see text]. We also obtain some bounds for the graph invariants [Formula: see text] and [Formula: see text].


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