In mathematics, a complex square matrix U is unitary if its conjugate transpose U∗ is also its inverse – that is, if
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where I is the identity matrix. In physics, especially in quantum mechanics, the Hermitian conjugate of a matrix is denoted by a dagger (†) and the equation above becomes
The real analogue of a unitary matrix is an orthogonal matrix. Unitary matrices have significant importance in quantum mechanics because they preserve norms, and thus, probability amplitudes.
Properties
For any unitary matrix U of finite size, the following hold:
For any nonnegative integer n, the set of all n-by-n unitary matrices with matrix multiplication forms a group, called the unitary group U(n).
Any square matrix with unit Euclidean norm is the average of two unitary matrices.
Equivalent conditions
If U is a square, complex matrix, then the following conditions are equivalent:
- U is unitary.
- U∗ is unitary.
- U is invertible with U−1 = U∗.
- The columns of U form an orthonormal basis of
C n - The rows of U form an orthonormal basis of
C n - U is an isometry with respect to the usual norm.
- U is a normal matrix with eigenvalues lying on the unit circle.
2 × 2 unitary matrix
The general expression of a 2 × 2 unitary matrix is:
which depends on 4 real parameters (the phase of
The sub-group of such elements in U where
The matrix U can also be written in this alternative form:
which, by introducing φ1 = ψ + Δ and φ2 = ψ − Δ, takes the following factorization:
This expression highlights the relation between 2 × 2 unitary matrices and 2 × 2 orthogonal matrices of angle θ.
Many other factorizations of a unitary matrix in basic matrices are possible.