# scipy.stats.unitary_group

scipy.stats.unitary_group = <scipy.stats._multivariate.unitary_group_gen object>

  A matrix-valued U(N) random variable.

  Return a random unitary matrix.

  The dim keyword specifies the dimension N.

  Parameters:
    dim scalar

      Dimension of matrices

    seed{None, int, np.random.RandomState, np.random.Generator}, optional

      Used for drawing random variates. If seed is None, the RandomState singleton is used. If seed is an int, a new `RandomState` instance is used, seeded with seed. If seed is already a `RandomState` or `Generator` instance, then that object is used. Default is None.

  See also

  `ortho_group`

  Notes

  This class is similar to `ortho_group`.

  References

  [1]

  F. Mezzadri, “How to generate random matrices from the classical compact groups”, arXiv:math-ph/0609050v2.

  Examples

      >>> import numpy as np
      >>> from scipy.stats import unitary_group
      >>> x = unitary_group.rvs(3)

      >>> np.dot(x, x.conj().T)
      array([[  1.00000000e+00,   1.13231364e-17,  -2.86852790e-16],
             [  1.13231364e-17,   1.00000000e+00,  -1.46845020e-16],
             [ -2.86852790e-16,  -1.46845020e-16,   1.00000000e+00]])

  This generates one random matrix from U(3). The dot product confirms that it is unitary up to machine precision.

  Alternatively, the object may be called (as a function) to fix the dim parameter, return a “frozen” unitary_group random variable:

      >>> rv = unitary_group(5)

  Methods

  rvs(dim=None, size=1, random_state=None) | Draw random samples from U(N).