基于改变边缘末端操作的图自变换模型

I. B. Bourdonov
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引用次数: 0

摘要

我们考虑一个分布式网络,其拓扑由无向图描述。网络本身可以使用节点提供的特殊“命令”来改变其拓扑结构。这项工作提出了一个极局部的原子转换acb,改变边缘ac的末端c,沿着边缘cb从顶点c“移动”到顶点b。作为这个操作的结果,边缘ac被删除,边缘ab被添加。这样的变换是通过从两个相邻边ac和cb的公共顶点c的“命令”来执行的。它表明,从任何树中,您都可以仅使用原子转换获得具有相同顶点集的任何其他树。如果树顶点的度数由数字d (d3)限定,则变换不违反此限制。作为这种变换的目的的一个例子,考虑在不改变顶点集合的情况下,顶点数量有限的树的Wiener索引的最大化和最小化问题。维纳指数是图中顶点之间的成对距离之和。最大维纳索引有一个线性树(一个有两个叶顶点的树)。对于具有最小Wiener索引的根树,确定其类型和计算根邻居分支中顶点数的方法。提出了两种分布式算法:将树转化为线性树和将线性树转化为具有最小Wiener索引的树。证明了两种算法的复杂度均不大于2n-2,其中n为树顶点数。我们还考虑了任意无向图的变换,其中可以有环,多条边和环路,而不限制顶点的度。证明了任意一个有n个顶点的连通图都可以在不超过2(n+k) -2的时间内转化为另一个有k个顶点和相同边数的连通图。
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Graph Self-Transformation Model Based on the Operation of Change the End of the Edge
We consider a distributed network whose topology is described by an undirected graph. The network itself can change its topology, using special “commands” provided by its nodes. The work proposes an extremely local atomic transformation acb of a change the end c of the edge ac, “moving” along the edge cb from vertex c to vertex b. As a result of this operation, the edge ac is removed, and the edge ab is added. Such a transformation is performed by a “command” from a common vertex c of two adjacent edges ac and cb. It is shown that from any tree you can get any other tree with the same set of vertices using only atomic transformations. If the degrees of the tree vertices are bounded by the number d (d 3), then the transformation does not violate this restriction. As an example of the purpose of such a transformation, the problems of maximizing and minimizing the Wiener index of a tree with a limited degree of vertices without changing the set of its vertices are considered. The Wiener index is the sum of pairwise distances between the vertices of a graph. The maximum Wiener index has a linear tree (a tree with two leaf vertices). For a root tree with a minimum Wiener index, its type and method for calculating the number of vertices in the branches of the neighbors of the root are determined. Two distributed algorithms are proposed: transforming a tree into a linear tree and transforming a linear tree into a tree with a minimum Wiener index. It is proved that both algorithms have complexity no higher than 2n–2, where n is the number of tree vertices. We also consider the transformation of arbitrary undirected graphs, in which there can be cycles, multiple edges and loops, without restricting the degree of the vertices. It is shown that any connected graph with n vertices can be transformed into any other connected graph with k vertices and the same number of edges in no more than 2(n+k)–2.
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