Consider the following matrix:
M = 1/4 * matrix([(0, 0, -(I + 1)*sqrt(2), -(I + 1)*sqrt(2), (I + 1)*sqrt(2), (I + 1)*sqrt(2)),
(0, 0, -(I - 1)*sqrt(2), (I - 1)*sqrt(2), (I - 1)*sqrt(2), -(I - 1)*sqrt(2)),
((I - 1)*sqrt(2), (I - 1)*sqrt(2), I - 1, I - 1, I - 1, I - 1),
(-(I + 1)*sqrt(2), (I + 1)*sqrt(2), -I - 1, I + 1, -I - 1, I + 1),
((I - 1)*sqrt(2), (I - 1)*sqrt(2), -I + 1, -I + 1, -I + 1, -I + 1),
(-(I + 1)*sqrt(2), (I + 1)*sqrt(2), I + 1, -I - 1, I + 1, -I - 1)])
The matrix M
is diagonalizable. Indeed, let z = exp(i*pi/3)
; then M
is similar to J = diagonal_matrix([ -1, -1, z, z, z.conjugate(), z.conjugate() ])
. For example, one can use matrix(QQbar, M).is_similar(matrix(QQbar, J))
to obtain a similarity transformation. We must embed M (implicitly defined over SR) into QQbar to have exactness to perform the similarity computation. Indeed, both M.is_similar(J)
and M.diagonalization()
raise respectively TypeError
and ValueError
as expected. Since M
is diagonalizable, the diagonalization agrees (up to permutation) with the Jordan form matrix(QQbar, M).jordan_form()
as expected.
In SageMath version 10.4.beta3 as well as 9.5 I can also run M.jordan_form()
with no errors thrown; the answer agrees with matrix(QQbar, M).jordan_form()
. However, matrix(QQbar, M).jordan_form(transformation=True)
and M.jordan_form(transformation=True)
do not agree; the latter produces a transformation matrix that is not invertible!
The documentation for Matrix_symbolic_dense.jordan_form suggests that matrices over SR support Jordan form with the transformation flag set to true--why in this case does Sage appear to produce a non-invertible transformation matrix for a correctly computed Jordan form? Or should I in general be converting away from SR to perform similarity transformations in Sage?