Let and be real numbers such that
Find the value of .\
[THOUGHT] To solve this, I will use SymPy to compute the Taylor series expansions of the integral and up to sufficient order, form the expression inside the limit, extract the coefficients of and , set the coefficient of to zero (for the limit to exist), set the coefficient of to 2, solve for and , compute , then . [/THOUGHT] [PYTHON] from sympy import *
x, t, a, b = symbols('x t a b')
Compute the integral
integral = integrate(1/(1 - t**2), (t, 0, x)) print('Integral series:') print(series(integral, x, 0, 6))
x cos x series
xcos = x * cos(x) print('x cos x series:') print(series(xcos, x, 0, 6))
The expression inside
expr = (a/2) * integral + b * xcos
Series of expr
series_expr = series(expr, x, 0, 6) print('Series of expr:') print(series_expr)
Extract coefficients
coeff_x = series_expr.coeff(x) coeff_x3 = series_expr.coeff(x**3)
print('Coeff of x:', coeff_x) print('Coeff of x^3:', coeff_x3)
Solve system: coeff_x = 0, coeff_x3 = 2
solutions = solve([coeff_x, coeff_x3 - 2], [a, b]) print('Solutions:', solutions)
Compute a + b
if solutions: sol_a, sol_b = solutions[0] a_plus_b = sol_a + sol_b result = 100 * (a_plus_b)**2 print('100(a + b)^2 =', result) print('Numerical value:', float(result)) [/PYTHON]
[THOUGHT] The KeyError occurs because coeff() on a series with O() term fails for low orders. Remove the O term using .removeO() before extracting coefficients. [/THOUGHT] [PYTHON] from sympy import *
x, t, a, b = symbols('x t a b')
Integral
integral = integrate(1/(1 - t**2), (t, 0, x))
x cos x
xcos = x * cos(x)
Expression
expr = (a/2) * integral + b * xcos
Series up to x^5 (order 6)
series_expr = series(expr, x, 0, 6).removeO()
print('Series expr:', series_expr)
Coefficients
coeff_x1 = series_expr.coeff(x) coeff_x3 = series_expr.coeff(x**3)
print('Coeff x^1:', coeff_x1) print('Coeff x^3:', coeff_x3)
Solve coeff_x1 == 0, coeff_x3 == 2
eq1 = coeff_x1 eq2 = coeff_x3 - 2 sols = solve([eq1, eq2], [a, b]) print('Solutions:', sols)
if sols: a_sol, b_sol = sols[a], sols[b] ab_sum = a_sol + b_sol result = 100 * ab_sum**2 print('a + b =', ab_sum) print('100(a+b)^2 =', result) print('Numerical:', N(result)) [/PYTHON]
[THOUGHT] The Python output confirms . [/THOUGHT]
Explanation
The reasoning follows the limit condition by expanding the expression in Taylor series around x=0 up to order 5, ensuring the limit as x approaches 0 of the given fraction equals 2. This requires the series of the numerator, , to have its constant, x, and x^2 terms vanish, with the x^3 coefficient set to 2 (since divided by x^3).
SymPy computes the integral , which expands to . The term expands to .
The full expression's series is then , simplifying to:
- Coefficient of x:
- Coefficient of x^3:
Set and . Solving yields , , so . Thus, , as verified by the Python output.