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Singular Value Decomposition trouble |
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| Aug29-11, 11:40 PM | #18 |
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Singular Value Decomposition trouble
Next, take:
[tex] A \, B \, U = A \, U \, \Lambda [/tex] [tex] (A \, A^{\dagger}) \, (A \, U) = (A \, U) \, \Lambda [/tex] [tex] C \, (A \, U) = (A \, U) \, \Lambda [/tex] [tex] V \, K \, (V^{\dagger} \, A \, U) = (A \, U) \, \Lambda [/tex] [tex] K \, (V^{\dagger} \, A \, U) = (V^{\dagger} \, A \, U) \, \Lambda [/tex] We didn't show this, but: [tex] \kappa_{k} = K_{k k} = (V^{\dagger} \, C \, V)_{k k} = (V^{\dagger} \, A \, A^{\dagger} \, V)_{k k} = ((V^{\dagger} \, A) (A^{\dagger} \, V))_{k k} = \sum_{i = 1}^{n}{|V^{\dagger} \, A|^{2}_{k i}} [/tex] so the set of eigenvalues of [itex]\Lambda[/itex] and [itex]K[/itex] are subsets to each other. This is why: [tex] V^{\dagger} \, A \, U = \Sigma_{m \times n} [/tex] where [itex]\Sigma_{m \times n}[/itex] is a diagonal with 1's along the main diagonal (as long as it streches). Then, we have: [tex] A = V_{m \times m} \, \Sigma_{m \times n} \, U^{\dagger}_{n \times n} [/tex] |
| Aug30-11, 12:01 AM | #19 |
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I have some mistake in the deduction for the diagonal elements of [itex]\Sigma[/itex].
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