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If I have the two unitary matrices from the SVD of an m x n matrix (U, V*) and I form a set of new matrices by doing $u_iv_i^H$ (forms an m x n matrix). Assuming $r = min(m, n)$ and my set is $X_1, X_2, ..., X_r$, how can I show that this is an orthonormal set? Is there some property of unitary matrices that I've forgotten? Their rows and columns form an orthonormal basis in $C^n$ but what of the product of two orthonormal vectors?

Furthermore, how do I generalize the coordinates of the original matrix using this orthonormal basis of the vector space?

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    What are $X_k$, the dyads $u_kv_k^*$? If so, what do you mean by orthonormal (for matrices)?2012-12-13
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    By orthonormal matrices, I mean the set is orthogonal and the matrix norm (generalization of the vector norm) is 1.2012-12-13
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    I understand the definition of orthonormal. I was asking what inner product you are using for two matrices? One definition is $\langle A, B \rangle = \mathbb{tr} A^*B$, and with this inner product the $X_k$ are orthonormal.2012-12-13
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    Sorry - yes, the inner product would be as you have specified above.2012-12-13

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