conj() is used when the equation doesn't specify it

[ratishsp]

Hi, why do we use conj() in the code below when the equation doesn't specify it:

def K_gen_inverse(Ab, Bb, Cb, L):
    I = np.eye(Ab.shape[0])
    Ab_L = matrix_power(Ab, L)
    Ct = Cb @ (I - Ab_L)
    return lambda z: (Ct.conj() @ inv(I - Ab * z) @ Bb).reshape()

[albertfgu]

Notation and code doesn't have to map 1-1. Things can be defined in whatever way is simpler. In other words, just think of $\overline{\boldsymbol{C}}$ in the equation to be represented by Ct.conj() in the code.

You do need to pay close attention to all the conjugates to get the implementation exactly right. See also the original paper (appendix C.3), in particular this comment:

[ratishsp]

Ah, it now makes sense. Thanks again!