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On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices

机译:关于(斜)对合和(斜)对合矩阵的奇异值分解

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The singular values σ > 1 of an n × n involutory matrix A appear in pairs (σ, 1σ). Their left and right singular vectors are closely connected. The case of singular values σ = 1 is discussed in detail. These singular values may appear in pairs (1,1) with closely connected left and right singular vectors or by themselves. The link between the left and right singular vectors is used to reformulate the singular value decomposition (SVD) of an involutory matrix as an eigendecomposition. This displays an interesting relation between the singular values of an involutory matrix and its eigenvalues. Similar observations hold for the SVD, the singular values and the coneigenvalues of (skew-)coninvolutory matrices.
机译:n×n不对称矩阵A的奇异值σ> 1成对出现(σ,1σ)。它们的左右奇异向量紧密相连。详细讨论奇异值σ= 1的情况。这些奇异值可能与成对的(1,1)与左,右奇异向量紧密相连或单独出现。左右奇异向量之间的链接用于将对合矩阵的奇异值分解(SVD)重新构造为特征分解。这显示了对合矩阵的奇异值与其特征值之间的有趣关系。对于(偏斜)卷积矩阵的SVD,奇异值和锥余值也有类似的观察结果。

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