Here $U\Sigma V^\intercal $ is the svd decomposition of M.I know that U and V are othogonal but i dont know which property it is using. This in reference to the post Proof of Eckart-Young-Mirsky theorem $$||M-X_k||_F = ||U\Sigma V^\intercal - X_k||_F = ||\Sigma - U^\intercal X_k V ||_F$$
2026-03-29 15:16:47.1774797407
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Why $||U\Sigma V^\intercal - X_k||_F = ||\Sigma - U^\intercal X_k V ||_F$
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As @science said:
$$||U\Sigma V^\intercal - X_k||_F=||U(\Sigma- U^\intercal X_k V) V^\intercal ||_F$$
Now use the property of F-norm
$$||UAV^T||=\sqrt{\text{trace}((UAV^T)^T(UAT^T))}=\sqrt{\text{trace}(VA^TU^TUAV^T)}=\sqrt{\text{trace}(VA^TAV^T)}=\sqrt{\text{trace}(A^TAV^TV)}=\sqrt{\text{trace}(A^TA)}=||A||_F$$
The first step is to see that