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The normality and sum of normalities of trees

机译:树木的正常性和总和

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The eccentricity of a vertex v in a graph G is the maximum distance from v to any other vertex. The vertices whose eccentricity are equal to the diameter (the maximum eccentricity) of G are called peripheral vertices. In trees the eccentricity at v can always be achieved by the distance from nu to a peripheral vertex. From this observation we are motivated to introduce normality of a vertex nu as the minimum distance from nu to any peripheral vertex. We consider the properties of the normality as well as the middle part of a tree with respect to this concept. Various related observations are discussed and compared with those related to the eccentricity. Then, analogous to the sum of eccentricities we consider the sum of normalities. After briefly discussing the extremal problems in general graphs we focus on trees and trees under various constraints. As opposed to the path and star in numerous extremal problems, we present several interesting and unexpected extremal structures. Lastly we consider the difference between eccentricity and normality, and the sum of these differences. We also introduce some unsolved problems in the context. (C) 2019 Elsevier B.V. All rights reserved.
机译:图G中的顶点V的偏心率是从V到任何其他顶点的最大距离。偏心等于G的直径(最大偏心)的顶点称为外围顶点。在树上,V的偏心率可以始终通过距离NU到外围顶点的距离来实现。从这个观察开始,我们有动力将顶点Nu的正常性引入与Nu到任何外围顶点的最小距离。我们考虑正常性以及树的中间部分的概念。讨论各种相关观察结果,并与与偏心率相关的人进行比较。然后,类似于我们考虑归一性之和的偏心之和。在简要讨论各种图表中的极端问题之后,我们专注于各种约束下的树木和树木。与大量极端问题的路径和明星相反,我们呈现了几个有趣和意外的极端结构。最后,我们考虑偏心和正常性之间的差异,以及这些差异的总和。我们还在上下文中介绍了一些未解决的问题。 (c)2019年Elsevier B.V.保留所有权利。

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