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单圈图的最大特征值的上界的改进
引用本文:扈生彪. 单圈图的最大特征值的上界的改进[J]. 数学研究及应用, 2009, 29(5): 945-950. DOI: 10.3770/j.issn:1000-341X.2009.05.022
作者姓名:扈生彪
作者单位:青海民族学院数学系, 青海 西宁 810007
基金项目:国家自然科学基金(No.10861009).
摘    要:Let G(V, E) be a unicyclic graph, Cm be a cycle of length m and Cm G, and ui ∈ V(Cm). The G - E(Cm) are m trees, denoted by Ti, i = 1, 2,..., m. For i = 1, 2,..., m, let eui be the excentricity of ui in Ti and ec = max{eui : i = 1, 2 , m}. Let κ = ec+1. Forj = 1,2,...,k- 1, let δij = max{dv : dist(v, ui) = j,v ∈ Ti}, δj = max{δij : i = 1, 2,..., m}, δ0 = max{dui : ui ∈ V(Cm)}. Then λ1(G)≤max{max 2≤j≤k-2 (√δj-1-1+√δj-1),2+√δ0-2,√δ0-2+√δ1-1}. If G ≌ Cn, then the equality holds, where λ1 (G) is the largest eigenvalue of the adjacency matrix of G.

关 键 词:最大特征值  单圈图  上界  用户界面  最大值  Cn空间  邻接矩阵  欧共体
收稿时间:2007-06-04
修稿时间:2008-07-07

Improved Upper Bounds for the Largest Eigenvalue of Unicyclic Graphs
HU Sheng Biao. Improved Upper Bounds for the Largest Eigenvalue of Unicyclic Graphs[J]. Journal of Mathematical Research with Applications, 2009, 29(5): 945-950. DOI: 10.3770/j.issn:1000-341X.2009.05.022
Authors:HU Sheng Biao
Affiliation:Department of Mathematics, Qinghai Nationalities College, Qinghai 810007, China
Abstract:Let $G(V,E)$ be a unicyclic graph, $C_{m}$ be a cycle of length $m$ and $C_{m}subset G$, and $u_{i}in V(C_{m})$. The $G-E(C_{m})$ are $m$ trees, denoted by $T_{i}$, $i=1,2,ldots,m$. For $i=1,2,ldots,m$, let $e_{u_{i}}$ be the excentricity of $u_{i}$ in $T_{i}$ and $$e_{c}=max{e_{u_{i}}: i=1,2,ldots,m}.$$ Let $k=e_{c}$+1. For $j=1,2,ldots,k-1$, let $$delta_{ij}=max{d_{v}:{rm dist}(v,u_{i})=j, vin T_{i}},$$ $$delta_{j}=max{delta_{ij}:i=1,2,ldots,m},$$ $$delta_{0}=max{d_{u_{i}}:u_{i}in V(C_{m})}.$$ Then $$lambda_{1}(G)leq max{maxlimits_{2leq jleq k-2}(sqrt{delta_{j-1}-1}+sqrt{delta_{j}-1}),2+sqrt{delta_{0}-2},sqrt{delta_{0}-2}+sqrt{delta_{1}-1}}.$$ If $Gcong C_{n}$, then the equality holds, where $lambda_{1}(G)$ is the largest eigenvalue of the adjacency matrix of $G$.
Keywords:unicyclic graph   adjacency matrix   largest eigenvalue.
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