Exemplo n.º 1
0
def solveset_real(f, symbol):
    """ Solves a real valued equation.

    Parameters
    ==========

    f : Expr
        The target equation
    symbol : Symbol
        The variable for which the equation is solved

    Returns
    =======

    Set
        A set of values for `symbol` for which `f` is equal to
        zero. An `EmptySet` is returned if no solution is found.
        A `ConditionSet` is returned as unsolved object if algorithms
        to evaluate complete solutions are not yet implemented.

    `solveset_real` claims to be complete in the set of the solution it
    returns.

    Raises
    ======

    NotImplementedError
        Algorithms to solve inequalities in complex domain are
        not yet implemented.
    ValueError
        The input is not valid.
    RuntimeError
        It is a bug, please report to the github issue tracker.


    See Also
    =======

    solveset_complex : solver for complex domain

    Examples
    ========

    >>> from sympy import Symbol, exp, sin, sqrt, I
    >>> from sympy.solvers.solveset import solveset_real
    >>> x = Symbol('x', real=True)
    >>> a = Symbol('a', real=True, finite=True, positive=True)
    >>> solveset_real(x**2 - 1, x)
    {-1, 1}
    >>> solveset_real(sqrt(5*x + 6) - 2 - x, x)
    {-1, 2}
    >>> solveset_real(x - I, x)
    EmptySet()
    >>> solveset_real(x - a, x)
    {a}
    >>> solveset_real(exp(x) - a, x)
    {log(a)}

    * In case the equation has infinitely many solutions an infinitely indexed
      `ImageSet` is returned.

    >>> solveset_real(sin(x) - 1, x)
    ImageSet(Lambda(_n, 2*_n*pi + pi/2), Integers())

    * If the equation is true for any arbitrary value of the symbol a `S.Reals`
      set is returned.

    >>> solveset_real(x - x, x)
    (-oo, oo)

    """
    if not symbol.is_Symbol:
        raise ValueError(" %s is not a symbol" % (symbol))

    f = sympify(f)
    if not isinstance(f, (Expr, Number)):
        raise ValueError(" %s is not a valid sympy expression" % (f))

    original_eq = f
    f = together(f)

    # In this, unlike in solveset_complex, expression should only
    # be expanded when fraction(f)[1] does not contain the symbol
    # for which we are solving
    if not symbol in fraction(f)[1].free_symbols and f.is_rational_function():
        f = expand(f)

    if f.has(Piecewise):
        f = piecewise_fold(f)
    result = EmptySet()

    if f.expand().is_zero:
        return S.Reals
    elif not f.has(symbol):
        return EmptySet()
    elif f.is_Mul and all([_is_finite_with_finite_vars(m) for m in f.args]):
        # if f(x) and g(x) are both finite we can say that the solution of
        # f(x)*g(x) == 0 is same as Union(f(x) == 0, g(x) == 0) is not true in
        # general. g(x) can grow to infinitely large for the values where
        # f(x) == 0. To be sure that we are not silently allowing any
        # wrong solutions we are using this technique only if both f and g are
        # finite for a finite input.
        result = Union(*[solveset_real(m, symbol) for m in f.args])
    elif _is_function_class_equation(TrigonometricFunction, f, symbol) or \
            _is_function_class_equation(HyperbolicFunction, f, symbol):
        result = _solve_real_trig(f, symbol)
    elif f.is_Piecewise:
        result = EmptySet()
        expr_set_pairs = f.as_expr_set_pairs()
        for (expr, in_set) in expr_set_pairs:
            solns = solveset_real(expr, symbol).intersect(in_set)
            result = result + solns
    else:
        lhs, rhs_s = invert_real(f, 0, symbol)
        if lhs == symbol:
            result = rhs_s
        elif isinstance(rhs_s, FiniteSet):
            equations = [lhs - rhs for rhs in rhs_s]
            for equation in equations:
                if equation == f:
                    if any(
                            _has_rational_power(g, symbol)[0]
                            for g in equation.args):
                        result += _solve_radical(equation, symbol,
                                                 solveset_real)
                    elif equation.has(Abs):
                        result += _solve_abs(f, symbol)
                    else:
                        result += _solve_as_rational(
                            equation,
                            symbol,
                            solveset_solver=solveset_real,
                            as_poly_solver=_solve_as_poly_real)
                else:
                    result += solveset_real(equation, symbol)
        else:
            result = ConditionSet(symbol, Eq(f, 0), S.Reals)

    if isinstance(result, FiniteSet):
        result = [
            s for s in result
            if isinstance(s, RootOf) or domain_check(original_eq, symbol, s)
        ]
        return FiniteSet(*result).intersect(S.Reals)
    else:
        return result.intersect(S.Reals)
Exemplo n.º 2
0
def solveset_real(f, symbol):
    """ Solves a real valued equation.

    Parameters
    ==========

    f : Expr
        The target equation
    symbol : Symbol
        The variable for which the equation is solved

    Returns
    =======

    Set
        A set of values for `symbol` for which `f` is equal to
        zero. An `EmptySet` is returned if no solution is found.

    `solveset_real` claims to be complete in the set of the solution it
    returns.

    Raises
    ======

    NotImplementedError
        The algorithms for to find the solution of the given equation are
        not yet implemented.
    ValueError
        The input is not valid.
    RuntimeError
        It is a bug, please report to the github issue tracker.


    See Also
    =======

    solveset_complex : solver for complex domain

    Examples
    ========

    >>> from sympy import Symbol, exp, sin, sqrt, I
    >>> from sympy.solvers.solveset import solveset_real
    >>> x = Symbol('x', real=True)
    >>> a = Symbol('a', real=True, finite=True, positive=True)
    >>> solveset_real(x**2 - 1, x)
    {-1, 1}
    >>> solveset_real(sqrt(5*x + 6) - 2 - x, x)
    {-1, 2}
    >>> solveset_real(x - I, x)
    EmptySet()
    >>> solveset_real(x - a, x)
    {a}
    >>> solveset_real(exp(x) - a, x)
    {log(a)}

    In case the equation has infinitely many solutions an infinitely indexed
    `ImageSet` is returned.

    >>> solveset_real(sin(x) - 1, x)
    ImageSet(Lambda(_n, 2*_n*pi + pi/2), Integers())

    If the equation is true for any arbitrary value of the symbol a `S.Reals`
    set is returned.

    >>> solveset_real(x - x, x)
    (-oo, oo)

    """
    if not symbol.is_Symbol:
        raise ValueError(" %s is not a symbol" % (symbol))

    f = sympify(f)
    if not isinstance(f, (Expr, Number)):
        raise ValueError(" %s is not a valid sympy expression" % (f))

    original_eq = f
    f = together(f)

    if f.has(Piecewise):
        f = piecewise_fold(f)
    result = EmptySet()

    if f.expand().is_zero:
        return S.Reals
    elif not f.has(symbol):
        return EmptySet()
    elif f.is_Mul and all([_is_finite_with_finite_vars(m) for m in f.args]):
        # if f(x) and g(x) are both finite we can say that the solution of
        # f(x)*g(x) == 0 is same as Union(f(x) == 0, g(x) == 0) is not true in
        # general. g(x) can grow to infinitely large for the values where
        # f(x) == 0. To be sure that we not are silently allowing any
        # wrong solutions we are using this technique only if both f and g and
        # finite for a finite input.
        result = Union(*[solveset_real(m, symbol) for m in f.args])
    elif _is_function_class_equation(C.TrigonometricFunction, f, symbol) or \
            _is_function_class_equation(C.HyperbolicFunction, f, symbol):
        result = _solve_real_trig(f, symbol)
    elif f.is_Piecewise:
        result = EmptySet()
        expr_set_pairs = f.as_expr_set_pairs()
        for (expr, in_set) in expr_set_pairs:
            solns = solveset_real(expr, symbol).intersect(in_set)
            result = result + solns
    else:
        lhs, rhs_s = invert_real(f, 0, symbol)
        if lhs == symbol:
            result = rhs_s
        elif isinstance(rhs_s, FiniteSet):
            equations = [lhs - rhs for rhs in rhs_s]
            for equation in equations:
                if equation == f:
                    if any(_has_rational_power(g, symbol)[0]
                           for g in equation.args):
                        result += _solve_radical(equation,
                                                 symbol,
                                                 solveset_real)
                    elif equation.has(Abs):
                        result += _solve_abs(f, symbol)
                    else:
                        result += _solve_as_rational(equation, symbol,
                                                     solveset_solver=solveset_real,
                                                     as_poly_solver=_solve_as_poly_real)
                else:
                    result += solveset_real(equation, symbol)
        else:
            raise NotImplementedError

    if isinstance(result, FiniteSet):
        result = [s for s in result
                  if isinstance(s, RootOf)
                  or domain_check(original_eq, symbol, s)]
        return FiniteSet(*result).intersect(S.Reals)
    else:
        return result.intersect(S.Reals)