On graphs whose Laplacian matrices have distinct integer eigenvalues

2005 ◽  
Vol 50 (2) ◽  
pp. 162-174 ◽  
Author(s):  
Shaun M. Fallat ◽  
Stephen J. Kirkland ◽  
Jason J. Molitierno ◽  
M. Neumann
MATEMATIKA ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 59-65
Author(s):  
Rabiha Mahmoud ◽  
Amira Fadina Ahmad Fadzil ◽  
Nor Haniza Sarmin ◽  
Ahmad Erfanian

Let G be a dihedral group and its conjugacy class graph. The Laplacian energy of the graph, is defined as the sum of the absolute values of the difference between the Laplacian eigenvalues and the ratio of twice the edges number divided by the vertices number. In this research, the Laplacian matrices of the conjugacy class graph of some dihedral groups, generalized quaternion groups, quasidihedral groups and their eigenvalues are first computed. Then, the Laplacian energy of the graphs are determined.


2018 ◽  
Vol 78 (1) ◽  
pp. 372-394 ◽  
Author(s):  
Camille Poignard ◽  
Tiago Pereira ◽  
Jan Philipp Pade

2018 ◽  
Vol 2018 (4) ◽  
pp. 043404 ◽  
Author(s):  
A P Riascos ◽  
T M Michelitsch ◽  
B A Collet ◽  
A F Nowakowski ◽  
F C G A Nicolleau

1997 ◽  
Vol 18 (4) ◽  
pp. 827-841 ◽  
Author(s):  
Stephen J. Kirkland ◽  
Michael Neumann ◽  
Bryan L. Shader

2005 ◽  
Vol 399 ◽  
pp. 157-168 ◽  
Author(s):  
Rafig Agaev ◽  
Pavel Chebotarev
Keyword(s):  

2012 ◽  
Vol 01 (03) ◽  
pp. 1250004 ◽  
Author(s):  
TIEFENG JIANG

We study the spectral properties of the Laplacian matrices and the normalized Laplacian matrices of the Erdös–Rényi random graph G(n, pn) for large n. Although the graph is simple, we discover some interesting behaviors of the two Laplacian matrices. In fact, under the dilute case, that is, pn ∈ (0, 1) and npn → ∞, we prove that the empirical distribution of the eigenvalues of the Laplacian matrix converges to a deterministic distribution, which is the free convolution of the semi-circle law and N(0, 1). However, for its normalized version, we prove that the empirical distribution converges to the semi-circle law.


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