Conjugate transpose of a matrix ‘P’ is basically a matrix which is equal to the conjugate of the matrix obtained by taking the transpose of the matrix ‘P’. In order to find the conjugate transpose of any matrix; firstly, transpose is obtained and secondly, the conjugate is obtained. The conjugate transpose is generally denoted as $P^{\theta} or P^* or (\overline{P})^T$.
Conjugate transpose of a matrix example
Let P is a matrix such that
\[P=\begin{bmatrix} 1+i &2+3i \\ 4-2i& 6 \end{bmatrix}\]
Now, to find the conjugate transpose of this matrix P, we first find the transpose of matrix P i.e.
\[P^T=\begin{bmatrix} 1+i &4-2i \\ 2+3i& 6 \end{bmatrix}\]
In the second step, we find conjugate of the matrix PT
\[P^{\theta}= P^* = (\overline{P})^T=\begin{bmatrix} 1-i &4+2i \\ 2-3i& 6 \end{bmatrix}\]
This is the conjugate transpose of a 2 x 2 matrix P.
Conjugate transpose of a matrix properties
The conjugate transpose of matrices S and R are Sθ and Rθ, respectively. Then,
1. (Sθ)θ = S and (Rθ)θ = R
2. (S + R)θ = Sθ + Rθ
$3. (aS)^{\theta}=\overline{a}S^{\theta} and (aR)^{\theta}=\overline{a}R^{\theta}$
where ‘a‘ is a complex number.
4. (SR)θ = RθSθ
The conjugate transpose is used to check special complex matrices i.e. hermitian matrix, skew hermitian matrix and unitary matrix.