On the spectra of nonsymmetric Laplacian matrices

被引:129
|
作者
Agaev, R [1 ]
Chebotarev, P [1 ]
机构
[1] Russian Acad Sci, Trapeznikov Inst Control Sci, Moscow 117997, Russia
关键词
Laplacian matrix; Laplacian spectrum of graph; weighted directed graph; forest dimension of digraph; stochastic matrix;
D O I
10.1016/j.laa.2004.09.003
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A Laplacian matrix, L = (l(ij)) is an element of R-n x n, has nonpositive off-diagonal entries and zero row sums. As a matrix associated with a weighted directed graph, it generalizes the Laplacian matrix of an ordinary graph. A standardized Laplacian matrix is a Laplacian matrix with - 1/n <= l(ij) <= 0 whenever j not equal i. We study the spectra of Laplacian matrices and relations between Laplacian matrices and stochastic matrices. We prove that the standardized Laplacian matrices (L) over tilde are semiconvergent. The multiplicities of 0 and 1 as the eigenvalues of (L) over tilde are equal to the in-forest dimension of the corresponding digraph and one less than the in-forest dimension of the complementary digraph, respectively. We localize the spectra of the standardized Laplacian matrices of order n and study the asymptotic properties of the corresponding domain. One corollary is that the maximum possible imaginary part of an eigenvalue of (L) over tilde converges to 1/pi as n -> infinity. (c) 2004 Elsevier Inc. All rights reserved.
引用
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页码:157 / 168
页数:12
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