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Several sharp upper bounds for the largest laplacian eigenvalue of a graph 被引量:5

Several sharp upper bounds for the largest laplacian eigenvalue of a graph
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摘要 Let K be the quasi-Laplacian matrix of a graph G and B be the adjacency matrix of the line graph of G, respectively. In this paper, we first present two sharp upper bounds for the largest Laplacian eigenvalue of G by applying the non-negative matrix theory to the similar matrix D-1/2 KD 1/2 and U-1/2 BU 1/2, respectively, where D is the degree diagonal matrix of G and U=diag(dudv: uv ∈ E(G)).And then we give another type of the upper bound in terms of the degree of the vertex and the edge number of G. Moreover, we determine all extremal graphs which achieve these upper bounds. Finally,some examples are given to illustrate that our results are better than the earlier and recent ones in some sense. Let K be the quasi-Laplacian matrix of a graph G and B be the adjacency matrix of the line graph of G,respectively.In this paper,we first present two sharp upper bounds for the largest Laplacian eigenvalue of G by applying the non-negative matrix theory to the similar matrix D^(-1/2) KD^(1/2) and U^(-1/2)BU^(1/2),respectively,where D is the degree diagonal matrix of G and U=diag(d_u,d_v,:uv∈E(G)). And then we give another type of the upper bound in terms of the degree of the vertex and the edge number of G.Moreover,we determine all extremal graphs which achieve these upper bounds.Finally, some examples are given to illustrate that our results are better than the earlier and recent ones in some sense.
作者 Tian-fei WANG
出处 《Science China Mathematics》 SCIE 2007年第12期1755-1764,共10页 中国科学:数学(英文版)
基金 This work was supported by the Natural Science Foundation of Sichuan Province (Grant No.2006C040)
关键词 LAPLACIAN matrix the LARGEST eigenvalue similar MATRIX Laplacian matrix the largest eigenvalue similar matrix
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