short question regarding convention - symmetric matrices and transpose I have a short question because wikipedia is extremly vague on this subject.
Suppose I have the matrix $A=\begin{pmatrix} i & 1 \\ 1 & -i\end{pmatrix}$.
Is it symmetric? I mean, in the complex field transpose is defined not like in the real field. I'd like someone to help clarify the difference between symmetric, hermatian, and how transposition is defined over R and C. Is this matrix symmetric? is it hermatian?
 A: A square matrix $A$ is called symmetric if $A=A^T$ , and Hermitian if $A=A^H=\bar A^T$. So we don't care whether elements of matrix are real or complex. For real matrices, symmetric is equivalent to Hermitian. But symmetric matrix in complex may not be Hermitian (say $A$ in your example). 
A: Yes it is symmetric, as $A^T=A$. What this matrix is not, is Hermitian. Recall, that a matrix $A$ is called Hermitian if $\bar A^T=A$, and in the case of matrices with complex entries we usually we are not wondering if they a symmetric (or anti-symmetric) but hermitian (or skew-hermitian).
A: If you ask: Is $A^t=A$ then the answer is yes.
But for complex matrices, transposing has no real useful meaning. What you want is conjugate transpose and clearly $A^H \neq A$. Nothing more can be said of the matrix.
Why do you need to transpose AND take the complex conjugates? The way I like to explain is that a complex number $u + i \,v$ can be mapped to a real matrix
$$
u + i\,v \Leftrightarrow \begin{bmatrix}u & v\\-v &u\end{bmatrix}$$
Notice that transposing the matrix results in taking complex conjugate.
So... when dealing with complex matrices, transposition should always be accompanied by taking complex conjugates. The two go together!
