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A nontrivial upper bound on the largest Laplacian eigenvalue of weighted graphs

机译:加权图的最大拉普拉斯特征值的非平凡上界。

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摘要

Let G be a simple connected weighted graph on n vertices in which the edge weights are positive numbers. Denote by i similar to j if the vertices i and j are adjacent and by wi,j the weight of the edge ij. Let w(i) = Sigma(n)(j=1) w(i,j). Let lambda(1) be the largest Laplacian eigenvalue of G. We first derive the upper bound lambda 1 <= Sigma(n)(j=1) max(k similar to j) w(k,j). We call this bound the trivial upper bound for lambda(1). Our main result is lambda 1 <= (1)/(2) max(i similar to j) {(wi + wj + Sigma k similar to i,k not similar to jwi,k + Sigma k similar to,k not similar to iwj,k)(+Sigma k similar to i.k similar to j vertical bar wi.k - wj.k vertical bar)}. For any G, this new bound does not exceed the trivial upper bound for lambda. (c) 2006 Elsevier Inc. All rights reserved.
机译:令G为n个顶点的简单连接加权图,其中边权重为正数。如果顶点i和j相邻,则用与j相似的i表示,用wi,j表示边缘ij的权重。令w(i)= Sigma(n)(j = 1)w(i,j)。令lambda(1)为G的最大拉普拉斯特征值。我们首先导出上限λ1 == Sigma(n)(j = 1)max(k类似于j)w(k,j)。我们称此界限为lambda(1)的微小上限。我们的主要结果是lambda 1 <=(1)/(2)max(i类似于j){(wi + wj + Sigma k类似于i,k不相似jwi,k + Sigma k类似于,k不相似到iwj,k)(+ Sigma k类似于ik类似于j竖线wi.k-wj.k竖线)}。对于任何G,此新界限都不会超出lambda的琐碎上限。 (c)2006 Elsevier Inc.保留所有权利。

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