arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 0906.4636math.CO
收藏

随机图的Laplacian能量

The Laplacian energy of random graphs

Wenxue Du, Xueliang Li, Yiyang Li

摘要:

Gutman {\it等人}引入了简单图$G$的能量$\En(G)$和Laplacian能量$\EnL(G)$的概念,并进一步提出了一个猜想:对每个图$G$,$\En(G)$不大于$\EnL(G)$.不幸的是,该猜想被证明是不正确的,因为刘{\it et al.}和Stevanović {\it et al.}构建反例。然而,因此{\it et al.}验证了关于二部图的猜想。本文给出了随机图的Laplacian能量的上下界,并证明了这个猜想对几乎所有的图都成立。

英文摘要:

Gutman {\it et al.} introduced the concepts of energy $\En(G)$ and Laplacian energy $\EnL(G)$ for a simple graph $G$, and furthermore, they proposed a conjecture that for every graph $G$, $\En(G)$ is not more than $\EnL(G)$. Unfortunately, the conjecture turns out to be incorrect since Liu {\it et al.} and Stevanović {\it et al.} constructed counterexamples. However, So {\it et al.} verified the conjecture for bipartite graphs. In the present paper, we obtain, for a random graph, the lower and upper bounds of the Laplacian energy, and show that the conjecture is true for almost all graphs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑