sinm(A)

This routine uses expm to compute the matrix exponentials.

Parameters

A : (N, N) array_like

Input array.

Returns

sinm : (N, N) ndarray

Matrix sine of A

Compute the matrix sine.

Examples

>>> from scipy.linalg import expm, sinm, cosm

Euler's identity (exp(i*theta) = cos(theta) + i*sin(theta)) applied to a matrix:

>>> a = np.array([[1.0, 2.0], [-1.0, 3.0]])
... expm(1j*a)
array([[ 0.42645930+1.89217551j, -2.13721484-0.97811252j],
       [ 1.06860742+0.48905626j, -1.71075555+0.91406299j]])

>>> cosm(a) + 1j*sinm(a)
array([[ 0.42645930+1.89217551j, -2.13721484-0.97811252j],
       [ 1.06860742+0.48905626j, -1.71075555+0.91406299j]])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.linalg._matfuncs.sinm scipy.linalg._matfuncs.cosm scipy.linalg._matfuncs.tanm scipy.linalg._matfuncs.expm

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