I was thinking of the problem differently -
find the extremal points of
, which leads to the eigenvalue
equation Dx = 0
. This equation doesn't determine
completely, so one is free to impose, for example, x†x = 1
normalization condition. But you're right that if
x†x = 1
is intended as a true constraint, then a method like Lagrange multipliers should be used.
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