图的极小欧氏表示
Minimal Euclidean representations of graphs
摘要:
一个单图G被称为在m维实向量空间中可表示的,如果在向量空间中存在顶点集的嵌入,使得任意两个不同顶点之间的欧氏距离是仅有的两个不同值a或b之一,如果顶点相邻,则距离a,否则距离b。G的欧几里得表示数是G可表示的最小维数。本文利用图的邻接矩阵的特征值的重数来确定图的欧几里德表示数。我们还给出了一个精确的公式的欧几里德表示数使用的主要角度的图。
英文摘要:
A simple graph G is said to be representable in a real vector space of dimension m if there is an embedding of the vertex set in the vector space such that the Euclidean distance between any two distinct vertices is one of only two distinct values a or b, with distance a if the vertices are adjacent and distance b otherwise. The Euclidean representation number of G is the smallest dimension in which G is representable. In this note, we bound the Euclidean representation number of a graph using multiplicities of the eigenvalues of the adjacency matrix. We also give an exact formula for the Euclidean representation number using the main angles of the graph.
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。