具有相同主特征空间的图的walk和CDC

Pub Date : 2023-01-01 DOI:10.7151/dmgt.2386
Irene Sciriha, Luke Collins
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引用次数: 1

摘要

图G的主特征值是(0,1)邻接矩阵a与对应特征空间不正交于j =(1 | 1 |···| 1)的特征值。与主特征值相关联的主特征向量是对应特征空间在j上的正交投影。图G的主特征空间是由所有主特征向量生成的,与行走矩阵的图像相同。我们探索了一个新的概念,看看主特征空间在多大程度上决定了一个图的行走矩阵的条目。图G的CDC是直积G ×K2。根据图的CDC、行走矩阵、主特征值和主特征空间,建立了图类间包含的层次结构。给出了具有相同CDC的图被表征为tf同构图的一个新的证明。给出了不超过8个顶点的tf同构图的完整列表及其共同的CDC。
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The walks and CDC of graphs with the same main eigenspace
The main eigenvalues of a graph G are those eigenvalues of the (0, 1)adjacency matrix A with a corresponding eigenspace not orthogonal to j = (1 | 1 | · · · | 1). The principal main eigenvector associated with a main eigenvalue is the orthogonal projection of the corresponding eigenspace onto j. The main eigenspace of a graph is generated by all the principal main eigenvectors and is the same as the image of the walk matrix. We explore a new concept to see to what extent the main eigenspace determines the entries of the walk matrix of a graph. The CDC of a graph G is the direct product G ×K2. We establish a hierarchy of inclusions connecting classes of graphs in view of their CDC, walk matrix, main eigenvalues and main eigenspaces. We provide a new proof that graphs with the same CDC are characterized as TF-isomorphic graphs. A complete list of TF-isomorphic graphs on at most 8 vertices and their common CDC is also given.
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