Eigenvectors from eigenvalues

Hi all,

I just came across this recent article that proves that eigenvectors can be entirely reconstructed knowing nothing but the eigenvalues. This is a new basic linear algebra property that was not known before, but was now found by particle physicists.
What would be the implications for diffusion tensor imaging? Can this facilitate/improve some computations?


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