双单元增益图的频谱特性

Symmetry Pub Date : 2024-09-03 DOI:10.3390/sym16091142
Chunfeng Cui, Yong Lu, Liqun Qi, Ligong Wang
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摘要

本文在双单位增益图的统一框架下研究了双四元数、双复数单位增益图及其谱特性。单位双四元数表示三维空间中的刚性运动,在机器人和计算机图形学中有着广泛的应用。最近,双复数在脑科学中得到了应用。我们建立了双单位增益图的交错定理,并证明了双单位增益图的谱半径总是不大于底层图的谱半径,而且当且仅当双增益图平衡时,这两个半径相等。通过使用对偶余弦函数,我们建立了对偶复数和四元单位增益循环的邻接矩阵和拉普拉斯矩阵特征值的封闭形式。然后,我们证明系数定理适用于对偶单位增益图。类似的结果也适用于对偶单位增益图的拉普拉斯矩阵谱半径。
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Spectral Properties of Dual Unit Gain Graphs
In this paper, we study dual quaternion, dual complex unit gain graphs, and their spectral properties in a unified frame of dual unit gain graphs. Unit dual quaternions represent rigid movements in the 3D space, and have wide applications in robotics and computer graphics. Dual complex numbers have found application in brain science recently. We establish the interlacing theorem for dual unit gain graphs, and show that the spectral radius of a dual unit gain graph is always not greater than the spectral radius of the underlying graph, and these two radii are equal if, and only if, the dual gain graph is balanced. By using dual cosine functions, we establish the closed form of the eigenvalues of adjacency and Laplacian matrices of dual complex and quaternion unit gain cycles. We then show the coefficient theorem holds for dual unit gain graphs. Similar results hold for the spectral radius of the Laplacian matrix of the dual unit gain graph too.
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