sinm — SciPy v1.15.2 Manual (original) (raw)

scipy.linalg.

scipy.linalg.sinm(A)[source]#

Compute the matrix sine.

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

Examples

import numpy as np 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(1ja) array([[ 0.42645930+1.89217551j, -2.13721484-0.97811252j], [ 1.06860742+0.48905626j, -1.71075555+0.91406299j]]) cosm(a) + 1jsinm(a) array([[ 0.42645930+1.89217551j, -2.13721484-0.97811252j], [ 1.06860742+0.48905626j, -1.71075555+0.91406299j]])