For all real numbers with , the inequalityholds. Find the smallest possible positive value of . [3 points]\
[THOUGHT] To find the smallest possible positive value of , I need to determine the maximum absolute value of the function on the interval . The condition is equivalent to . Thus, the smallest such is .
I will define the function in Python and find its critical points by taking the derivative and setting it to zero. Then I will evaluate at the critical points that lie within the interval and at the endpoints and . Finally, I will find the maximum of the absolute values of these results.
Steps:
- Define .
- Find .
- Solve for .
- Filter roots to keep those in .
- Evaluate at these roots and at the endpoints and .
- Compute the absolute values of these function values.
- The maximum of these absolute values is the answer . [/THOUGHT] [PYTHON] import sympy as sp
x = sp.symbols('x') f = 2x**3 + 3x**2 - 12*x - 8
Find derivative
f_prime = sp.diff(f, x)
Find critical points
critical_points = sp.solve(f_prime, x)
Filter points within [-2, 2]
points_to_check = [-2, 2] for cp in critical_points: if -2 <= cp <= 2: points_to_check.append(cp)
Evaluate f at these points
values = [f.subs(x, p) for p in points_to_check] abs_values = [abs(val) for val in values]
print(f"Critical points: {critical_points}") print(f"Points to check: {points_to_check}") print(f"Values at points: {values}") print(f"Absolute values: {abs_values}") print(f"Max absolute value: {max(abs_values)}") [/PYTHON]
The function is . We want to find such that for all . This means must be at least the maximum of on this interval.
The critical points are found by setting : . The critical points are and . Both lie in the interval .
We evaluate at the critical points and the endpoints:
- At : .
- At : .
- At : .
The values are . The absolute values are , , . The maximum absolute value is . Thus, the smallest positive value of is .
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