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This can be found at http://en.wikipedia.org/wiki/Normal_matrix#cite_note-1, but I don't know how to prove it:

$A$ is normal if and only if there's a unitary matrix V,s.t. $A^*=AV$

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    I can not find the book via internet.2012-10-07

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If $A^* = AV$, then show that $A = A^* V^* = V^* A^*$. Likewise you can show that $V$ commutes with $A$. Using this you will easily show that $A^* A = A A^*$, i.e., that $A$ is normal.

Conversely, if $A$ is normal, then $A = U \Lambda U^*$, where $U$ is unitary, and $\Lambda$ is the diagonal matrix of eigenvalues of $A$. Recognise that we can write $\Lambda = R \Phi$, where $R$ is a diagonal matrix whose entries are the magnitudes of the corresponding entries of $\Lambda$, and $\Phi$ is the diagonal matrix whose entries are complex numbers reflecting the phase of the corresponding entry in $\Lambda$. In other words if the $j^{\text{th}}$ diagonal entry of $\Lambda$ is $\lambda_j = r_j e^{i \phi_j}$, then $e^{i \phi_j}$ is the corresponding entry in $\Phi$.

Then $\Lambda^* = \Lambda \Phi^* \Phi^*$, and $ A^* = U \Lambda^* U^* = (U \Lambda U^*)(U \Phi^* \Phi^* U^*) = AV, $ and we observe that $V$ is unitary, since $\Phi^*$ is.

This kind of idea is reflected in the polar decomposition of a matrix.

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    Good. Also, you will need to convince yourself that $\Phi$ is unitary. With that observation, and the observation that $\Lambda^* = R\Phi^*$, you can also obtain the result.2012-10-07