def test_covar_deriv(): ch = metric_to_Christoffel_2nd(TP(R2.dx, R2.dx) + TP(R2.dy, R2.dy)) cvd = BaseCovarDerivativeOp(R2_r, 0, ch) assert cvd(R2.x) == 1 assert cvd(R2.x * R2.e_x) == R2.e_x cvd = CovarDerivativeOp(R2.x * R2.e_x, ch) assert cvd(R2.x) == R2.x assert cvd(R2.x * R2.e_x) == R2.x * R2.e_x
def test_covar_deriv(): ch = metric_to_Christoffel_2nd(TP(R2.dx, R2.dx) + TP(R2.dy, R2.dy)) cvd = BaseCovarDerivativeOp(R2_r, 0, ch) assert cvd(R2.x) == 1 assert cvd(R2.x*R2.e_x) == R2.e_x cvd = CovarDerivativeOp(R2.x*R2.e_x, ch) assert cvd(R2.x) == R2.x assert cvd(R2.x*R2.e_x) == R2.x*R2.e_x
def test_helpers_and_coordinate_dependent(): one_form = R2.dr + R2.dx two_form = Differential(R2.x * R2.dr + R2.r * R2.dx) three_form = Differential(R2.y * two_form) + Differential( R2.x * Differential(R2.r * R2.dr)) metric = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dy, R2.dy) metric_ambig = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dr, R2.dr) misform_a = TensorProduct(R2.dr, R2.dr) + R2.dr misform_b = R2.dr**4 misform_c = R2.dx * R2.dy twoform_not_sym = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dx, R2.dy) twoform_not_TP = WedgeProduct(R2.dx, R2.dy) assert covariant_order(one_form) == 1 assert covariant_order(two_form) == 2 assert covariant_order(three_form) == 3 assert covariant_order(two_form + metric) == 2 assert covariant_order(two_form + metric_ambig) == 2 assert covariant_order(two_form + twoform_not_sym) == 2 assert covariant_order(two_form + twoform_not_TP) == 2 pytest.raises(ValueError, lambda: covariant_order(misform_a)) pytest.raises(ValueError, lambda: covariant_order(misform_b)) pytest.raises(ValueError, lambda: covariant_order(misform_c)) assert twoform_to_matrix(metric) == Matrix([[1, 0], [0, 1]]) assert twoform_to_matrix(twoform_not_sym) == Matrix([[1, 0], [1, 0]]) assert twoform_to_matrix(twoform_not_TP) == Matrix([[0, -1], [1, 0]]) pytest.raises(ValueError, lambda: twoform_to_matrix(one_form)) pytest.raises(ValueError, lambda: twoform_to_matrix(three_form)) pytest.raises(ValueError, lambda: twoform_to_matrix(metric_ambig)) pytest.raises(ValueError, lambda: metric_to_Christoffel_1st(twoform_not_sym)) pytest.raises(ValueError, lambda: metric_to_Christoffel_2nd(twoform_not_sym)) pytest.raises(ValueError, lambda: metric_to_Riemann_components(twoform_not_sym)) pytest.raises(ValueError, lambda: metric_to_Ricci_components(twoform_not_sym))
def test_helpers_and_coordinate_dependent(): one_form = R2.dr + R2.dx two_form = Differential(R2.x*R2.dr + R2.r*R2.dx) three_form = Differential( R2.y*two_form) + Differential(R2.x*Differential(R2.r*R2.dr)) metric = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dy, R2.dy) metric_ambig = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dr, R2.dr) misform_a = TensorProduct(R2.dr, R2.dr) + R2.dr misform_b = R2.dr**4 misform_c = R2.dx*R2.dy twoform_not_sym = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dx, R2.dy) twoform_not_TP = WedgeProduct(R2.dx, R2.dy) assert covariant_order(one_form) == 1 assert covariant_order(two_form) == 2 assert covariant_order(three_form) == 3 assert covariant_order(two_form + metric) == 2 assert covariant_order(two_form + metric_ambig) == 2 assert covariant_order(two_form + twoform_not_sym) == 2 assert covariant_order(two_form + twoform_not_TP) == 2 pytest.raises(ValueError, lambda: covariant_order(misform_a)) pytest.raises(ValueError, lambda: covariant_order(misform_b)) pytest.raises(ValueError, lambda: covariant_order(misform_c)) assert twoform_to_matrix(metric) == Matrix([[1, 0], [0, 1]]) assert twoform_to_matrix(twoform_not_sym) == Matrix([[1, 0], [1, 0]]) assert twoform_to_matrix(twoform_not_TP) == Matrix([[0, -1], [1, 0]]) pytest.raises(ValueError, lambda: twoform_to_matrix(one_form)) pytest.raises(ValueError, lambda: twoform_to_matrix(three_form)) pytest.raises(ValueError, lambda: twoform_to_matrix(metric_ambig)) pytest.raises(ValueError, lambda: metric_to_Christoffel_1st(twoform_not_sym)) pytest.raises(ValueError, lambda: metric_to_Christoffel_2nd(twoform_not_sym)) pytest.raises(ValueError, lambda: metric_to_Riemann_components(twoform_not_sym)) pytest.raises(ValueError, lambda: metric_to_Ricci_components(twoform_not_sym))
def test_H2(): TP = diofant.diffgeom.TensorProduct R2 = diofant.diffgeom.rn.R2 y = R2.y dy = R2.dy dx = R2.dx g = (TP(dx, dx) + TP(dy, dy)) * y**(-2) automat = twoform_to_matrix(g) mat = diag(y**(-2), y**(-2)) assert mat == automat gamma1 = metric_to_Christoffel_1st(g) assert gamma1[0, 0, 0] == 0 assert gamma1[0, 0, 1] == -y**(-3) assert gamma1[0, 1, 0] == -y**(-3) assert gamma1[0, 1, 1] == 0 assert gamma1[1, 1, 1] == -y**(-3) assert gamma1[1, 1, 0] == 0 assert gamma1[1, 0, 1] == 0 assert gamma1[1, 0, 0] == y**(-3) gamma2 = metric_to_Christoffel_2nd(g) assert gamma2[0, 0, 0] == 0 assert gamma2[0, 0, 1] == -y**(-1) assert gamma2[0, 1, 0] == -y**(-1) assert gamma2[0, 1, 1] == 0 assert gamma2[1, 1, 1] == -y**(-1) assert gamma2[1, 1, 0] == 0 assert gamma2[1, 0, 1] == 0 assert gamma2[1, 0, 0] == y**(-1) Rm = metric_to_Riemann_components(g) assert Rm[0, 0, 0, 0] == 0 assert Rm[0, 0, 0, 1] == 0 assert Rm[0, 0, 1, 0] == 0 assert Rm[0, 0, 1, 1] == 0 assert Rm[0, 1, 0, 0] == 0 assert Rm[0, 1, 0, 1] == -y**(-2) assert Rm[0, 1, 1, 0] == y**(-2) assert Rm[0, 1, 1, 1] == 0 assert Rm[1, 0, 0, 0] == 0 assert Rm[1, 0, 0, 1] == y**(-2) assert Rm[1, 0, 1, 0] == -y**(-2) assert Rm[1, 0, 1, 1] == 0 assert Rm[1, 1, 0, 0] == 0 assert Rm[1, 1, 0, 1] == 0 assert Rm[1, 1, 1, 0] == 0 assert Rm[1, 1, 1, 1] == 0 Ric = metric_to_Ricci_components(g) assert Ric[0, 0] == -y**(-2) assert Ric[0, 1] == 0 assert Ric[1, 0] == 0 assert Ric[0, 0] == -y**(-2) assert Ric == ImmutableDenseNDimArray([-y**(-2), 0, 0, -y**(-2)], (2, 2)) # scalar curvature is -2 # TODO - it would be nice to have index contraction built-in R = (Ric[0, 0] + Ric[1, 1]) * y**2 assert R == -2 # Gauss curvature is -1 assert R / 2 == -1
def test_H2(): TP = diofant.diffgeom.TensorProduct R2 = diofant.diffgeom.rn.R2 y = R2.y dy = R2.dy dx = R2.dx g = (TP(dx, dx) + TP(dy, dy))*y**(-2) automat = twoform_to_matrix(g) mat = diag(y**(-2), y**(-2)) assert mat == automat gamma1 = metric_to_Christoffel_1st(g) assert gamma1[0, 0, 0] == 0 assert gamma1[0, 0, 1] == -y**(-3) assert gamma1[0, 1, 0] == -y**(-3) assert gamma1[0, 1, 1] == 0 assert gamma1[1, 1, 1] == -y**(-3) assert gamma1[1, 1, 0] == 0 assert gamma1[1, 0, 1] == 0 assert gamma1[1, 0, 0] == y**(-3) gamma2 = metric_to_Christoffel_2nd(g) assert gamma2[0, 0, 0] == 0 assert gamma2[0, 0, 1] == -y**(-1) assert gamma2[0, 1, 0] == -y**(-1) assert gamma2[0, 1, 1] == 0 assert gamma2[1, 1, 1] == -y**(-1) assert gamma2[1, 1, 0] == 0 assert gamma2[1, 0, 1] == 0 assert gamma2[1, 0, 0] == y**(-1) Rm = metric_to_Riemann_components(g) assert Rm[0, 0, 0, 0] == 0 assert Rm[0, 0, 0, 1] == 0 assert Rm[0, 0, 1, 0] == 0 assert Rm[0, 0, 1, 1] == 0 assert Rm[0, 1, 0, 0] == 0 assert Rm[0, 1, 0, 1] == -y**(-2) assert Rm[0, 1, 1, 0] == y**(-2) assert Rm[0, 1, 1, 1] == 0 assert Rm[1, 0, 0, 0] == 0 assert Rm[1, 0, 0, 1] == y**(-2) assert Rm[1, 0, 1, 0] == -y**(-2) assert Rm[1, 0, 1, 1] == 0 assert Rm[1, 1, 0, 0] == 0 assert Rm[1, 1, 0, 1] == 0 assert Rm[1, 1, 1, 0] == 0 assert Rm[1, 1, 1, 1] == 0 Ric = metric_to_Ricci_components(g) assert Ric[0, 0] == -y**(-2) assert Ric[0, 1] == 0 assert Ric[1, 0] == 0 assert Ric[0, 0] == -y**(-2) assert Ric == ImmutableDenseNDimArray([-y**(-2), 0, 0, -y**(-2)], (2, 2)) # scalar curvature is -2 # TODO - it would be nice to have index contraction built-in R = (Ric[0, 0] + Ric[1, 1])*y**2 assert R == -2 # Gauss curvature is -1 assert R/2 == -1