- §1. Hermitian Matrices
- §2. Properties: Hermitian
- §3. Commuting Matrices
- §4. Unitary Matrices
- §5. Properties: Unitary
- §6. Basis Change
- §7. Symmetry Operations
- §8. Matrix Examples
- §9. Matrix Decompositions
- §10. Matrix Exponentials
- §11. Evolution Equations
Unitary Matrices
A complex $n\times n$ matrix $U$ is unitary if its conjugate transpose is equal to its inverse, that is, if \begin{equation} U^\dagger = U^{-1} , \end{equation} that is, if \begin{equation} U^\dagger U = I = UU^\dagger . \end{equation}
If $U$ is both unitary and real, then $U$ is an orthogonal matrix. The analogy goes even further: Working out the condition for unitarity, it is easy to see that the rows (and similarly the columns) of a unitary matrix $U$ form a complex orthonormal basis. Using bra/ket notation, and writing $|v_i\rangle$ for the columns of $U$, then \begin{equation} \langle v_i | v_j \rangle = \delta_{ij} . \end{equation}
We will use unitary matrices in three ways:
- Change of basis
- Symmetry operators
- Evolution operators
- Preserve norm