I'm not seeing where the eigenvectors are in terms of eigenvalues in the paper that came out recently named "Eigenvectors from Eigenvalues" by the neutrino physicists and Terence Tao:
I'm guessing that with as fundamentally groundbreaking as this paper is, some people on here have read it. Please let me know if you know where in the paper the eigenvectors are in terms of eigenvalues.
Edit: To be more specific, I saw the norm squared part, but how do you narrow it down to the actual value of each element of each eigenvector. For any reals, you can just act the transformation on the at most the finite $2^n$ possibilities (unless it has infinite dimensions as can be the case in particle physics), where n is the dimension of the vector. But, what about when the values that the norm square is being taken of are complex? Also, if you can address infinite dimensions, that would be appreciated. Meaning, is there a way to get the elements without testing each combination?