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arXiv 2306.04005math.CO
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边的添加与Kemeny常数的变化

Edge Addition and the Change in Kemeny's Constant

Stephen Kirkland, Yuqiao Li, John McAlister, Xiaohong Zhang

AI总结:

本文定量分析了向$n$个顶点的树添加边时Kemeny常数的变化,证明了最大增加量约为$\frac{2}{3}n$,最大减少量约为$\frac{3}{16}n^2$,并确定了达到极值的树和边。

摘要:

给定一个连通图$G$,Kemeny常数$\mathcal{K}({G})$衡量随机游走到达随机选定顶点的平均时间。已知当向$G$添加一条边时,Kemeny常数的值可能减少、增加或保持不变。本文对初始图为具有$n$个顶点的树时的这一行为进行了定量分析。我们证明,当向具有$n$个顶点的树添加一条边时,Kemeny常数的最大可能增加量约为$\frac{2}{3}n$,而最大可能减少量约为$\frac{3}{16}n^2$。我们还确定了对应于最大增加和最大减少的树及要添加的边。全文采用了矩阵理论和图论技术。

英文摘要:

Given a connected graph $G$, Kemeny's constant $\mathcal{K}({G})$ measures the average travel time for a random walk to reach a randomly selected vertex. It is known that when an edge is added to $G$, the value of Kemeny's constant may either decrease, increase, or stay the same. In this paper, we present a quantitative analysis of this behaviour when the initial graph is a tree with $n$ vertices. We prove that when an edge is added into a tree on $n$ vertices, the maximum possible increase in Kemeny's constant is roughly $\frac{2}{3}n,$ while the maximum possible decrease is roughly $\frac{3}{16}n^2$. We also identify the trees, and the edges to be added, that correspond to the maximum increase and maximum decrease. Throughout, both matrix theoretic and graph theoretic techniques are employed.

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。

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