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首页> 外文期刊>The Electronic Journal of Linear Algebra >On the Main Eigenvalues of Universal Adjacency Matrices and U-Controllable Graphs
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On the Main Eigenvalues of Universal Adjacency Matrices and U-Controllable Graphs

机译:关于通用邻接矩阵和U可控图的主要特征值

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A universal adjacency matrix U of a graph G is a linear combination of the 0–1 adjacency matrix A, the diagonal matrix of vertex degrees D, the identity matrix I and the matrix J each of whose entries is 1. A main eigenvalue of U is an eigenvalue having an eigenvector that is not orthogonal to the all–ones vector. It is shown that the number of distinct main eigenvalues of U associated with a simple graph G is at most the number of orbits of any automorphism of G. The definition of a U–controllable graph is given using control–theoretic techniques and several necessary and sufficient conditions for a graph to be U–controllable are determined. It is then demonstrated that U–controllable graphs are asymmetric and that the converse is false, showing that there exist both regular and non–regular asymmetric graphs that are not U–controllable for any universal adjacency matrix U. To aid in the discovery of these counterexamples, a gamma–Laplacian matrix L(gamma) is used, which is a simplified form of U. It is proved that any U-controllable graph is a L(gamma)–controllable graph for some parameter gamma.
机译:图G的通用邻接矩阵U是0-1邻接矩阵A,顶点度D的对角矩阵,恒等矩阵I和矩阵J的线性组合,每个项均为1。U的主要特征值是具有不与全一向量正交的特征向量的特征值。结果表明,与简单图G关联的U的不同主要特征值的数量最多是G的任何自同构的轨道数。使用控制理论技术给出了U可控图的定义,并给出了几种必要的确定了图可被U控制的充分条件。然后证明了U可控图是不对称的,反之亦然,这表明存在任何通用邻接矩阵U都不可控制的正则和非正则非对称图。为了帮助发现这些反例,使用伽马-拉普拉斯矩阵L(gamma),它是U的简化形式。事实证明,对于某些参数伽马,任何U可控制图都是L(伽马)可控制图。

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