Unitary Matrices
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Unitary Matrices

In linear algebra, a complex square matrix U is unitary if its conjugate transpose U* is also its inverse, that is, if

where I is the identity matrix.

In physics, especially in quantum mechanics, the Hermitian adjoint 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:

where V is unitary, and D is diagonal and unitary.
  • .
  • Its eigenspaces are orthogonal.
  • U can be written as U = eiH, where e indicates the matrix exponential, i is the imaginary unit, and H is a Hermitian matrix.

For any nonnegative integer n, the set of all n × 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.[1]

Equivalent conditions

If U is a square, complex matrix, then the following conditions are equivalent:[2]

  1. U is unitary.
  2. U* is unitary.
  3. U is invertible with .
  4. The columns of U form an orthonormal basis of with respect to the usual inner product. In other words, U*U =I.
  5. The rows of U form an orthonormal basis of with respect to the usual inner product. In other words, U U* = I.
  6. U is an isometry with respect to the usual norm. That is, for all , where .
  7. U is a normal matrix (equivalently, there is an orthonormal basis formed by eigenvectors of U) with eigenvalues lying on the unit circle.

Elementary constructions

2 × 2 unitary matrix

The general expression of a unitary matrix is

which depends on 4 real parameters (the phase of a, the phase of b, the relative magnitude between a and b, and the angle ?). The determinant of such a matrix is

The sub-group of those elements with is called the special unitary group SU(2).

The matrix U can also be written in this alternative form:

which, by introducing and , takes the following factorization:

This expression highlights the relation between unitary matrices and orthogonal matrices of angle ?.

Another factorization is[3]

Many other factorizations of a unitary matrix in basic matrices are possible.

See also

References

  1. ^ Li, Chi-Kwong; Poon, Edward (2002). "Additive decomposition of real matrices". Linear and Multilinear Algebra. 50 (4): 321-326. doi:10.1080/03081080290025507.
  2. ^ Horn, Roger A.; Johnson, Charles R. (2013). Matrix Analysis. Cambridge University Press. doi:10.1017/9781139020411. ISBN 9781139020411.
  3. ^ Führ, Hartmut; Rzeszotnik, Ziemowit (2018). "A note on factoring unitary matrices". Linear Algebra and Its Applications. 547: 32-44. doi:10.1016/j.laa.2018.02.017. ISSN 0024-3795.

External links


  This article uses material from the Wikipedia page available here. It is released under the Creative Commons Attribution-Share-Alike License 3.0.

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