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arXiv 2103.00607math.CO
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邻接维数为常数的图

Graphs with constant adjacency dimension

Mohsen Jannesari

摘要:

对于图G中的顶点集合W和顶点v,k-向量r2(v| W)=(aG(v,w1),...,aG(v,wk))是v相对于W的邻接表示,其中W = {w1,.,wk},aG(x,y)是2和顶点x和y之间的距离的最小值。集合W是G的邻接分解集,如果G的不同顶点关于W有不同的邻接表示。G的邻接分解集的最小基数是它的邻接维数。显然,n-顶点图G的邻接维数在1和n-1之间。已知邻接维数为1和n-1的图。本文研究了所有邻接维数为2的图和所有邻接维数为n-2的n-顶点图。根据图G的直径和阶,得到了图G的邻接维数的一个很好的上界。同时,根据G的阶,得到了G的邻接维数的一个精确的下界.利用这两个界,刻画了所有邻接维数为2的图和所有邻接维数为n-2的n-顶点图。

英文摘要:

For a set W of vertices and a vertex v in a graph G, the k-vector r2(v|W) = (aG(v,w1),...,aG(v,wk)) is the adjacency representation of v with respect to W, where W = {w1,...,wk} and aG(x,y) is the minimum of 2 and the distance between the vertices x and y. The set W is an adjacency resolving set for G if distinct vertices of G have distinct adjacency representations with respect to W. The minimum cardinality of an adjacency resolving set for G is its adjacency dimension. It is clear that the adjacency dimension of an n-vertex graph G is between 1 and n-1. The graphs with adjacency dimension 1 and n-1 are known. All graphs with adjacency dimension 2, and all n-vertex graphs with adjacency dimension n-2 are studied in this paper. In terms of the diameter and order of G, a sharp upper bound is found for adjacency dimension of G. Also, a sharp lower bound for adjacency dimension of G is obtained in terms of order of G. Using these two bounds, all graphs with adjacency dimension 2, and all n-vertex graphs with adjacency dimension n-2 are characterized.

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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