Hermitian Matrix: Any Complex Square Matrix is called a Hermitian Matrix if the Elements present in it's \(i^{th}\) Row and \(j^{th}\) Column are Complex Conjugates of Elements present in it's \(j^{th}\) Row and \(i^{th}\) Column and has Only Real Values in the Main Diagonal. That is, for any Hermitian Matrix \(A\), \(a_{ij}=\overline{a_{ji}}\) for all \(i\neq j\).
Following are some examples of Hermitian Matrices
Please note that for any Hermitian Matrix \(A\), the Conjugate Transpose of the Matrix is the Matrix itself. That is
\(A^\dagger=A\)
Anti-Hermitian Matrix: Any Square Matrix is called a Anti-Hermitian Matrix if all its Main Diagona are either 0 or Pure Imaginary Values and the Elements present in it's \(i^{th}\) Row and \(j^{th}\) Column are Negative of Complex Conjugates of the Elements present in it's \(j^{th}\) Row and \(i^{th}\) Column.
That is, for any Anti-Hermitian Matrix \(A\), \(a_{ij}=-\overline{a_{ji}}\) for all \(i\neq j\).
Following are some examples of Anti-Hermitian Matrices