Let $A=A_1i+A_2$ with $A$ non singular. Now let
$$B =\begin{bmatrix} A_1 & A_2\\ A_2 & -A_1 \end{bmatrix}$$
With $A_1$, $A_2$ and $B$ symmetric. Is it true that:
1) $B$ is non singular
2) $B \begin{bmatrix} x \\ -y \end{bmatrix}=\lambda \begin{bmatrix} x \\ -y \end{bmatrix}$ if and only if $B \begin{bmatrix} x \\ -y \end{bmatrix}=-\lambda \begin{bmatrix} x \\ -y \end{bmatrix}$ so the eigenvalues of $B$ appear in $+-$ pairs.
3) Let $\begin{bmatrix} x_1 \\ -y_1 \end{bmatrix},\dots, \begin{bmatrix} x_n \\ -y_n \end{bmatrix}$ be the orthonormal eigenvectors of $B$ associated with its positive eigenvalues $\lambda_1,\dots,\lambda_n$. Let $X=\begin{bmatrix} x_1 & \dots & x_n \end{bmatrix}$, $Y=\begin{bmatrix} y_1 & \dots & y_n \end{bmatrix}$, $\Sigma=diag(\lambda_1,\dots,\lambda_n)$, $V =\begin{bmatrix} X & Y\\ -Y & X \end{bmatrix}$ and $\Lambda = \Sigma \oplus (-\Sigma)$. Then $V$ is real orthogonal and $B = V\Lambda V^T$. Let $U = X - iY$. Explain why $U$ is unitary and show that $U\Sigma U ^T=A$.
I am not going to do the homework for you. I have two remarks, though.