Module « numpy.linalg »

Fonction matrix_power - module numpy.linalg

Signature de la fonction matrix_power

def matrix_power(a, n) 

Description

matrix_power.__doc__

    Raise a square matrix to the (integer) power `n`.

    For positive integers `n`, the power is computed by repeated matrix
    squarings and matrix multiplications. If ``n == 0``, the identity matrix
    of the same shape as M is returned. If ``n < 0``, the inverse
    is computed and then raised to the ``abs(n)``.

    .. note:: Stacks of object matrices are not currently supported.

    Parameters
    ----------
    a : (..., M, M) array_like
        Matrix to be "powered".
    n : int
        The exponent can be any integer or long integer, positive,
        negative, or zero.

    Returns
    -------
    a**n : (..., M, M) ndarray or matrix object
        The return value is the same shape and type as `M`;
        if the exponent is positive or zero then the type of the
        elements is the same as those of `M`. If the exponent is
        negative the elements are floating-point.

    Raises
    ------
    LinAlgError
        For matrices that are not square or that (for negative powers) cannot
        be inverted numerically.

    Examples
    --------
    >>> from numpy.linalg import matrix_power
    >>> i = np.array([[0, 1], [-1, 0]]) # matrix equiv. of the imaginary unit
    >>> matrix_power(i, 3) # should = -i
    array([[ 0, -1],
           [ 1,  0]])
    >>> matrix_power(i, 0)
    array([[1, 0],
           [0, 1]])
    >>> matrix_power(i, -3) # should = 1/(-i) = i, but w/ f.p. elements
    array([[ 0.,  1.],
           [-1.,  0.]])

    Somewhat more sophisticated example

    >>> q = np.zeros((4, 4))
    >>> q[0:2, 0:2] = -i
    >>> q[2:4, 2:4] = i
    >>> q # one of the three quaternion units not equal to 1
    array([[ 0., -1.,  0.,  0.],
           [ 1.,  0.,  0.,  0.],
           [ 0.,  0.,  0.,  1.],
           [ 0.,  0., -1.,  0.]])
    >>> matrix_power(q, 2) # = -np.eye(4)
    array([[-1.,  0.,  0.,  0.],
           [ 0., -1.,  0.,  0.],
           [ 0.,  0., -1.,  0.],
           [ 0.,  0.,  0., -1.]])