Section 5.1 Definition of Hermitian Matrices
On an \(n\times m\) matrix, \(N\text{,}\) you can take the Hermitian adjoint (usually denoted with a dagger, \(\dagger\)) which means take both the (complex) conjugate Section 2.2 and the transpose Section 3.4, in either order
An \(n\times n\) (square) matrix \(M\) is Hermitian if it equals its conjugate transpose, that is, if
For example, let \(M\) be a \(2\times2\) complex matrix, so that
with \(a,b,c,d\in\CC\text{.}\) If \(M\) is Hermitian, then \(M^\dagger=M\text{.}\) But
so, we must have
i.e. \(a\) and \(d\) are real and \(c\) is the complex conjugate of \(b\text{.}\)
In index notation, if the components of \(M\) are denoted \(m_{ij}\text{,}\) then \(M\) is Hermitian if and only if
for all \(i\text{,}\) \(j\text{.}\) Thus, the diagonal elements of a Hermitian matrix must be real, and the off-diagonal elements come in complex conjugate pairs, paired symmetrically across the main diagonal.
If a matrix \(M\) is both Hermitian and real, then \(M\) is called a symmetric matrix.
An important special case of a Hermitian matrix can be constructed from any column vector \(v\) by computing its outer square, which in traditional vector notation would be written \(vv^\dagger\) and in bra/ket notation would be written \(|v\rangle\langle v|\text{.}\)
An anti-Hermitian matrix is one for which the Hermitian adjoint is the negative of the matrix:
An matrix which is both anti-Hermitian and real is called antisymmetric.