阈值图,Kemeny常数,和相关的随机游走参数

IF 1.1 3区 数学 Q1 MATHEMATICS Linear Algebra and its Applications Pub Date : 2025-03-15 Epub Date: 2025-01-06 DOI:10.1016/j.laa.2024.12.022
Jane Breen , Sooyeong Kim , Alexander Low Fung , Amy Mann , Andrei A. Parfeni , Giovanni Tedesco
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引用次数: 0

摘要

Kemeny常数衡量的是随机步行者在图中移动的速度。Kemeny常数的表达式可能非常复杂,因此,许多研究集中在具有更深入研究结构的图上(例如正则图、无环图和1连通图)。在本文中,我们研究了阈值图上随机游走的Kemeny常数,阈值图是一类有趣的图,其性质使得检验Kemeny常数变得困难;也就是说,它们通常不是规则的,不是无环的,也不是1连通的。本文展示了计算图形的Kemeny常数和相关随机游走参数的各种技术。根据阈值图的构造码,建立了K(G)的显式表达式,并完全确定了阈值图中顶点可达性指标的排序。
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Threshold graphs, Kemeny's constant, and related random walk parameters
Kemeny's constant measures how fast a random walker moves around in a graph. Expressions for Kemeny's constant can be quite involved, and for this reason, many lines of research focus on graphs with structure that makes them amenable to more in-depth study (for example, regular graphs, acyclic graphs, and 1-connected graphs). In this article, we study Kemeny's constant for random walks on threshold graphs, which are an interesting family of graphs with properties that make examining Kemeny's constant difficult; that is, they are usually not regular, not acyclic, and not 1-connected. This article is a showcase of various techniques for calculating Kemeny's constant and related random walk parameters for graphs. We establish explicit formulae for K(G) in terms of the construction code of a threshold graph, and completely determine the ordering of the accessibility indices of vertices in threshold graphs.
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
333
审稿时长
13.8 months
期刊介绍: Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.
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