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arXiv 2402.12988math.CO
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对偶单位增益图的谱性质

Spectral Properties of Dual Unit Gain Graphs

Chunfeng Cui, Yong Lu, Liqun Qi, Ligong Wang

AI总结:

本文在对偶单位增益图框架下研究对偶四元数和对偶复数单位增益图,建立交错定理、谱半径比较与平衡性刻画,并给出圈图邻接矩阵和拉普拉斯矩阵特征值的闭式表达及系数定理。

摘要:

本文在对偶单位增益图的统一框架下研究对偶四元数和对偶复数单位增益图及其谱性质。单位对偶四元数表示三维空间中的刚体运动,在机器人学和计算机图形学中有广泛应用。对偶复数最近在脑科学中得到了应用。我们建立了对偶单位增益图的交错定理,并证明对偶单位增益图的谱半径始终不大于其底层图的谱半径,且这两个半径相等当且仅当该对偶增益图是平衡的。利用对偶余弦函数,我们建立了对偶复数和四元数单位增益圈的邻接矩阵与拉普拉斯矩阵特征值的闭式表达。随后我们证明系数定理对对偶单位增益图成立。类似的结果对对偶单位增益图的拉普拉斯矩阵的谱半径也成立。

英文摘要:

In this paper, we study dual quaternion and 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 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 the dual cosine functions, we establish the closed form of 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.

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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