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240 lines
9.0 KiB
240 lines
9.0 KiB
from sympy.core.function import (Derivative as D, Function)
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from sympy.core.relational import Eq
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from sympy.core.symbol import (Symbol, symbols)
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from sympy.functions.elementary.exponential import (exp, log)
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from sympy.functions.elementary.trigonometric import (cos, sin)
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from sympy.core import S
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from sympy.solvers.pde import (pde_separate, pde_separate_add, pde_separate_mul,
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pdsolve, classify_pde, checkpdesol)
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from sympy.testing.pytest import raises
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a, b, c, x, y = symbols('a b c x y')
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def test_pde_separate_add():
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x, y, z, t = symbols("x,y,z,t")
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F, T, X, Y, Z, u = map(Function, 'FTXYZu')
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eq = Eq(D(u(x, t), x), D(u(x, t), t)*exp(u(x, t)))
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res = pde_separate_add(eq, u(x, t), [X(x), T(t)])
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assert res == [D(X(x), x)*exp(-X(x)), D(T(t), t)*exp(T(t))]
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def test_pde_separate():
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x, y, z, t = symbols("x,y,z,t")
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F, T, X, Y, Z, u = map(Function, 'FTXYZu')
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eq = Eq(D(u(x, t), x), D(u(x, t), t)*exp(u(x, t)))
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raises(ValueError, lambda: pde_separate(eq, u(x, t), [X(x), T(t)], 'div'))
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def test_pde_separate_mul():
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x, y, z, t = symbols("x,y,z,t")
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c = Symbol("C", real=True)
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Phi = Function('Phi')
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F, R, T, X, Y, Z, u = map(Function, 'FRTXYZu')
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r, theta, z = symbols('r,theta,z')
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# Something simple :)
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eq = Eq(D(F(x, y, z), x) + D(F(x, y, z), y) + D(F(x, y, z), z), 0)
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# Duplicate arguments in functions
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raises(
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ValueError, lambda: pde_separate_mul(eq, F(x, y, z), [X(x), u(z, z)]))
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# Wrong number of arguments
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raises(ValueError, lambda: pde_separate_mul(eq, F(x, y, z), [X(x), Y(y)]))
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# Wrong variables: [x, y] -> [x, z]
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raises(
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ValueError, lambda: pde_separate_mul(eq, F(x, y, z), [X(t), Y(x, y)]))
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assert pde_separate_mul(eq, F(x, y, z), [Y(y), u(x, z)]) == \
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[D(Y(y), y)/Y(y), -D(u(x, z), x)/u(x, z) - D(u(x, z), z)/u(x, z)]
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assert pde_separate_mul(eq, F(x, y, z), [X(x), Y(y), Z(z)]) == \
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[D(X(x), x)/X(x), -D(Z(z), z)/Z(z) - D(Y(y), y)/Y(y)]
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# wave equation
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wave = Eq(D(u(x, t), t, t), c**2*D(u(x, t), x, x))
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res = pde_separate_mul(wave, u(x, t), [X(x), T(t)])
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assert res == [D(X(x), x, x)/X(x), D(T(t), t, t)/(c**2*T(t))]
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# Laplace equation in cylindrical coords
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eq = Eq(1/r * D(Phi(r, theta, z), r) + D(Phi(r, theta, z), r, 2) +
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1/r**2 * D(Phi(r, theta, z), theta, 2) + D(Phi(r, theta, z), z, 2), 0)
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# Separate z
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res = pde_separate_mul(eq, Phi(r, theta, z), [Z(z), u(theta, r)])
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assert res == [D(Z(z), z, z)/Z(z),
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-D(u(theta, r), r, r)/u(theta, r) -
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D(u(theta, r), r)/(r*u(theta, r)) -
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D(u(theta, r), theta, theta)/(r**2*u(theta, r))]
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# Lets use the result to create a new equation...
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eq = Eq(res[1], c)
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# ...and separate theta...
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res = pde_separate_mul(eq, u(theta, r), [T(theta), R(r)])
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assert res == [D(T(theta), theta, theta)/T(theta),
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-r*D(R(r), r)/R(r) - r**2*D(R(r), r, r)/R(r) - c*r**2]
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# ...or r...
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res = pde_separate_mul(eq, u(theta, r), [R(r), T(theta)])
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assert res == [r*D(R(r), r)/R(r) + r**2*D(R(r), r, r)/R(r) + c*r**2,
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-D(T(theta), theta, theta)/T(theta)]
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def test_issue_11726():
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x, t = symbols("x t")
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f = symbols("f", cls=Function)
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X, T = symbols("X T", cls=Function)
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u = f(x, t)
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eq = u.diff(x, 2) - u.diff(t, 2)
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res = pde_separate(eq, u, [T(x), X(t)])
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assert res == [D(T(x), x, x)/T(x),D(X(t), t, t)/X(t)]
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def test_pde_classify():
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# When more number of hints are added, add tests for classifying here.
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f = Function('f')
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eq1 = a*f(x,y) + b*f(x,y).diff(x) + c*f(x,y).diff(y)
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eq2 = 3*f(x,y) + 2*f(x,y).diff(x) + f(x,y).diff(y)
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eq3 = a*f(x,y) + b*f(x,y).diff(x) + 2*f(x,y).diff(y)
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eq4 = x*f(x,y) + f(x,y).diff(x) + 3*f(x,y).diff(y)
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eq5 = x**2*f(x,y) + x*f(x,y).diff(x) + x*y*f(x,y).diff(y)
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eq6 = y*x**2*f(x,y) + y*f(x,y).diff(x) + f(x,y).diff(y)
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for eq in [eq1, eq2, eq3]:
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assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
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for eq in [eq4, eq5, eq6]:
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assert classify_pde(eq) == ('1st_linear_variable_coeff',)
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def test_checkpdesol():
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f, F = map(Function, ['f', 'F'])
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eq1 = a*f(x,y) + b*f(x,y).diff(x) + c*f(x,y).diff(y)
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eq2 = 3*f(x,y) + 2*f(x,y).diff(x) + f(x,y).diff(y)
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eq3 = a*f(x,y) + b*f(x,y).diff(x) + 2*f(x,y).diff(y)
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for eq in [eq1, eq2, eq3]:
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assert checkpdesol(eq, pdsolve(eq))[0]
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eq4 = x*f(x,y) + f(x,y).diff(x) + 3*f(x,y).diff(y)
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eq5 = 2*f(x,y) + 1*f(x,y).diff(x) + 3*f(x,y).diff(y)
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eq6 = f(x,y) + 1*f(x,y).diff(x) + 3*f(x,y).diff(y)
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assert checkpdesol(eq4, [pdsolve(eq5), pdsolve(eq6)]) == [
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(False, (x - 2)*F(3*x - y)*exp(-x/S(5) - 3*y/S(5))),
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(False, (x - 1)*F(3*x - y)*exp(-x/S(10) - 3*y/S(10)))]
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for eq in [eq4, eq5, eq6]:
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assert checkpdesol(eq, pdsolve(eq))[0]
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sol = pdsolve(eq4)
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sol4 = Eq(sol.lhs - sol.rhs, 0)
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raises(NotImplementedError, lambda:
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checkpdesol(eq4, sol4, solve_for_func=False))
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def test_solvefun():
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f, F, G, H = map(Function, ['f', 'F', 'G', 'H'])
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eq1 = f(x,y) + f(x,y).diff(x) + f(x,y).diff(y)
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assert pdsolve(eq1) == Eq(f(x, y), F(x - y)*exp(-x/2 - y/2))
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assert pdsolve(eq1, solvefun=G) == Eq(f(x, y), G(x - y)*exp(-x/2 - y/2))
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assert pdsolve(eq1, solvefun=H) == Eq(f(x, y), H(x - y)*exp(-x/2 - y/2))
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def test_pde_1st_linear_constant_coeff_homogeneous():
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f, F = map(Function, ['f', 'F'])
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u = f(x, y)
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eq = 2*u + u.diff(x) + u.diff(y)
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assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
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sol = pdsolve(eq)
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assert sol == Eq(u, F(x - y)*exp(-x - y))
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assert checkpdesol(eq, sol)[0]
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eq = 4 + (3*u.diff(x)/u) + (2*u.diff(y)/u)
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assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
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sol = pdsolve(eq)
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assert sol == Eq(u, F(2*x - 3*y)*exp(-S(12)*x/13 - S(8)*y/13))
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assert checkpdesol(eq, sol)[0]
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eq = u + (6*u.diff(x)) + (7*u.diff(y))
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assert classify_pde(eq) == ('1st_linear_constant_coeff_homogeneous',)
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sol = pdsolve(eq)
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assert sol == Eq(u, F(7*x - 6*y)*exp(-6*x/S(85) - 7*y/S(85)))
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assert checkpdesol(eq, sol)[0]
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eq = a*u + b*u.diff(x) + c*u.diff(y)
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sol = pdsolve(eq)
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assert checkpdesol(eq, sol)[0]
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def test_pde_1st_linear_constant_coeff():
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f, F = map(Function, ['f', 'F'])
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u = f(x,y)
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eq = -2*u.diff(x) + 4*u.diff(y) + 5*u - exp(x + 3*y)
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sol = pdsolve(eq)
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assert sol == Eq(f(x,y),
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(F(4*x + 2*y)*exp(x/2) + exp(x + 4*y)/15)*exp(-y))
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assert classify_pde(eq) == ('1st_linear_constant_coeff',
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'1st_linear_constant_coeff_Integral')
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assert checkpdesol(eq, sol)[0]
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eq = (u.diff(x)/u) + (u.diff(y)/u) + 1 - (exp(x + y)/u)
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sol = pdsolve(eq)
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assert sol == Eq(f(x, y), F(x - y)*exp(-x/2 - y/2) + exp(x + y)/3)
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assert classify_pde(eq) == ('1st_linear_constant_coeff',
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'1st_linear_constant_coeff_Integral')
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assert checkpdesol(eq, sol)[0]
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eq = 2*u + -u.diff(x) + 3*u.diff(y) + sin(x)
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sol = pdsolve(eq)
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assert sol == Eq(f(x, y),
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F(3*x + y)*exp(x/5 - 3*y/5) - 2*sin(x)/5 - cos(x)/5)
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assert classify_pde(eq) == ('1st_linear_constant_coeff',
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'1st_linear_constant_coeff_Integral')
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assert checkpdesol(eq, sol)[0]
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eq = u + u.diff(x) + u.diff(y) + x*y
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sol = pdsolve(eq)
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assert sol.expand() == Eq(f(x, y),
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x + y + (x - y)**2/4 - (x + y)**2/4 + F(x - y)*exp(-x/2 - y/2) - 2).expand()
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assert classify_pde(eq) == ('1st_linear_constant_coeff',
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'1st_linear_constant_coeff_Integral')
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assert checkpdesol(eq, sol)[0]
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eq = u + u.diff(x) + u.diff(y) + log(x)
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assert classify_pde(eq) == ('1st_linear_constant_coeff',
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'1st_linear_constant_coeff_Integral')
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def test_pdsolve_all():
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f, F = map(Function, ['f', 'F'])
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u = f(x,y)
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eq = u + u.diff(x) + u.diff(y) + x**2*y
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sol = pdsolve(eq, hint = 'all')
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keys = ['1st_linear_constant_coeff',
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'1st_linear_constant_coeff_Integral', 'default', 'order']
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assert sorted(sol.keys()) == keys
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assert sol['order'] == 1
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assert sol['default'] == '1st_linear_constant_coeff'
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assert sol['1st_linear_constant_coeff'].expand() == Eq(f(x, y),
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-x**2*y + x**2 + 2*x*y - 4*x - 2*y + F(x - y)*exp(-x/2 - y/2) + 6).expand()
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def test_pdsolve_variable_coeff():
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f, F = map(Function, ['f', 'F'])
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u = f(x, y)
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eq = x*(u.diff(x)) - y*(u.diff(y)) + y**2*u - y**2
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sol = pdsolve(eq, hint="1st_linear_variable_coeff")
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assert sol == Eq(u, F(x*y)*exp(y**2/2) + 1)
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assert checkpdesol(eq, sol)[0]
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eq = x**2*u + x*u.diff(x) + x*y*u.diff(y)
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sol = pdsolve(eq, hint='1st_linear_variable_coeff')
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assert sol == Eq(u, F(y*exp(-x))*exp(-x**2/2))
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assert checkpdesol(eq, sol)[0]
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eq = y*x**2*u + y*u.diff(x) + u.diff(y)
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sol = pdsolve(eq, hint='1st_linear_variable_coeff')
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assert sol == Eq(u, F(-2*x + y**2)*exp(-x**3/3))
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assert checkpdesol(eq, sol)[0]
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eq = exp(x)**2*(u.diff(x)) + y
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sol = pdsolve(eq, hint='1st_linear_variable_coeff')
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assert sol == Eq(u, y*exp(-2*x)/2 + F(y))
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assert checkpdesol(eq, sol)[0]
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eq = exp(2*x)*(u.diff(y)) + y*u - u
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sol = pdsolve(eq, hint='1st_linear_variable_coeff')
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assert sol == Eq(u, F(x)*exp(-y*(y - 2)*exp(-2*x)/2))
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