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Added test_complex_matrix_inverse

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Fabian Joswig 2021-10-17 13:35:27 +01:00
parent 157fc1058a
commit abdff600e6
1 changed files with 23 additions and 0 deletions
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23
tests/test_linalg.py
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@ -18,6 +18,29 @@ def test_matrix_inverse():
assert all([o.is_zero() for o in np.diag(matrix) * np.diag(inverse_matrix) - 1])
def test_complex_matrix_inverse():
dimension = 6
base_matrix = np.empty((dimension, dimension), dtype=object)
matrix = np.empty((dimension, dimension), dtype=complex)
for (n, m), entry in np.ndenumerate(base_matrix):
exponent_real = np.random.normal(3, 5)
exponent_imag = np.random.normal(3, 5)
base_matrix[n, m] = pe.CObs(pe.pseudo_Obs(2 + 10 ** exponent_real, 10 ** (exponent_real - 1), 't'),
pe.pseudo_Obs(2 + 10 ** exponent_imag, 10 ** (exponent_imag - 1), 't'))
# Construct invertible matrix
obs_matrix = np.identity(dimension) + base_matrix @ base_matrix.T
for (n, m), entry in np.ndenumerate(obs_matrix):
matrix[n, m] = entry.real.value + 1j * entry.imag.value
inverse_matrix = np.linalg.inv(matrix)
inverse_obs_matrix = pe.linalg.mat_mat_op(np.linalg.inv, obs_matrix)
for (n, m), entry in np.ndenumerate(inverse_matrix):
assert np.isclose(inverse_matrix[n, m].real, inverse_obs_matrix[n, m].real.value)
assert np.isclose(inverse_matrix[n, m].imag, inverse_obs_matrix[n, m].imag.value)
def test_matrix_functions():
dim = 3 + int(4 * np.random.rand())
print(dim)