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Dec 13, 2019 at 13:18 comment added Arnold Neumaier @NathanielJohnston: But if you go around a closed loop, do you get the same phases?
Dec 13, 2019 at 12:39 comment added Nathaniel Johnston @ArnoldNeumaier - The eigenvalues of $A$ and $B$ vary continuously with the entries of $A$ and $B$, and if those eigenvalues are distinct then so do the projections onto the eigenspaces, and thus their spectral decompositions, and thus the matrix $C$ (or $U$). Things get murky if you have repeated eigenvalues though.
Dec 13, 2019 at 10:31 comment added Arnold Neumaier @lcv:: It is not clear to me whether $U$ or $C$ can be chosen to be continuous.
Dec 13, 2019 at 10:26 history edited Arnold Neumaier CC BY-SA 4.0
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Dec 12, 2019 at 19:18 comment added lcv @nathanielJohnston yes I believe so. If he doesn't ask for the map to be trace preserving at least.
Dec 12, 2019 at 16:10 comment added Nathaniel Johnston @Icv - The same idea works even if $A$ and $B$ are just both positive definite with distinct eigenvalues. Then you can construct a matrix $C$ that sends the vectors in a spectral decomposition of $A$ to the vectors in a spectral decomposition of $B$, and the map $x \mapsto CxC^\dagger$ works.
Dec 11, 2019 at 16:48 comment added lcv For once, if $A$ and $B$ are iso-spectral (with distinct eigenvalues) such a map is $x \mapsto Ux U^\dagger$ where $ B=UAU^\dagger$ for some unitary $U$.
Dec 11, 2019 at 15:39 history asked Arnold Neumaier CC BY-SA 4.0