Closed PetMetz closed 1 year ago
I think I've beat this to death-- the structure of the eigen vector matrix shows up in Ting's textbook and in a 1988 paper where he defines the matrix U =[[A,\bar{A}], [B, \bar{B}]]
which corresponds with a row matrix of eigen vectors grouped by their conjugate pairs.
The previous slicing of \xi
and the reordering of \xi
into U
result in equivalent construction of the (3,3) matrices A, B
.
Eigenvectors returned by np.linalg.eig are column vectors.
In the first edition, slicing was determined according to properties discussed by Ting, so they may incidentally be correctly handled.