Problem Analysis #31

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Problem Statement

For all real numbers xx with 2x2-2 \leq x \leq 2, the inequalityk2x3+3x212x8k-k \leq 2x^3 + 3x^2 - 12x - 8 \leq kholds. Find the smallest possible positive value of kk. [3 points]\

Ground Truth
15
Execution Trace
Reasoning Process

[THOUGHT] I need to find the smallest positive (k) such that (|2x^3 + 3x^2 - 12x - 8| \le k) for all (x \in [-2,2]). This means (k) must be the maximum absolute value of the cubic function (f(x)=2x^3+3x^2-12x-8) on the interval. I will:

  1. Compute the derivative (f'(x)) and find its critical points inside ([-2,2]).
  2. Evaluate (f(x)) at the critical points and at the endpoints (-2) and (2).
  3. Take the absolute values of these evaluations and determine the largest one.
  4. Verify by evaluating (f(x)) on a fine grid of points in the interval to ensure no larger absolute value is missed.

I will use SymPy for symbolic computation and a numeric check. [/THOUGHT] [PYTHON] import sympy as sp

Define variable and function

x = sp.symbols('x') f = 2x**3 + 3x**2 - 12*x - 8

Find critical points by solving f'(x) = 0

f_prime = sp.diff(f, x) critical_points = sp.solve(f_prime, x)

Filter critical points that lie within the interval [-2, 2]

valid_critical = [float(cp) for cp in critical_points if cp.is_real and -2 <= cp <= 2]

Include endpoints

evaluation_points = [-2, 2] + valid_critical

Evaluate f at these points and compute absolute values

abs_values = [abs(f.subs(x, pt).evalf()) for pt in evaluation_points]

Find the maximum absolute value

max_abs = max(abs_values)

Numeric verification on a fine grid

import numpy as np grid = np.linspace(-2, 2, 100000) grid_vals = np.abs(np.array([f.subs(x, float(g)).evalf() for g in grid])) grid_max = np.max(grid_vals)

Print results

print("Critical points within interval:", valid_critical) print("Function values at evaluation points:", [f.subs(x, pt).evalf() for pt in evaluation_points]) print("Absolute values:", abs_values) print("Maximum absolute value from critical points/endpoints:", max_abs) print("Maximum absolute value from fine grid:", grid_max) [/PYTHON]

Tool Output
[PYTHON OUTPUT] Critical points within interval: [-2.0, 1.0] Function values at evaluation points: [12.0000000000000, -4.00000000000000, 12.0000000000000, -15.0000000000000] Absolute values: [12.0000000000000, 4.00000000000000, 12.0000000000000, 15.0000000000000] Maximum absolute value from critical points/endpoints: 15.0000000000000 Maximum absolute value from fine grid: 14.9999999991000 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output confirms that the maximum absolute value of the function (2x^3 + 3x^2 - 12x - 8) on the interval ([-2, 2]) is approximately 15. The critical points and endpoints yield values with absolute values 12, 4, and 15, and the fine grid verification supports this result. Thus, the smallest (k) satisfying the inequality for all (x \in [-2, 2]) is 15. [/THOUGHT] \boxed{15}

Final Model Output
15

Comparative Analysis (P31) (Average across runs)

Avg Time Taken

EXAONE-4.0.1-32B (high)
2301.7
Solar-Open-100B
640.8
K-EXAONE-236B-A23B
189.6
Gemini-3-Pro-Preview
170.7
Llama-VARCO-8B-Instruct
98.0
Deepseek-V3.2
67.5
HCX-007(high)
54.8
Solar-Pro-2 (31B)(high)
35.0
Kanana-2-30B-Thinking
33.8
Kanana-2-30B-Thinking-2601
21.2
A.X-4.0 (72B)
15.2
GPT-5.2 (high)
14.8
GPT-5.1 (high)
13.3
Claude-Opus-4.5
12.6
K-EXAONE-236B-A23B
12.4
Grok-4.1-fast
10.0
axk1
4.4

Avg Token Usage

EXAONE-4.0.1-32B (high)
37496.0
K-EXAONE-236B-A23B
27042.0
Kanana-2-30B-Thinking
7460.0
Solar-Pro-2 (31B)(high)
7096.0
HCX-007(high)
5642.0
Kanana-2-30B-Thinking-2601
5493.5
Solar-Open-100B
5057.0
Llama-VARCO-8B-Instruct
4580.0
GPT-5.2 (high)
4360.0
Gemini-3-Pro-Preview
4189.0
K-EXAONE-236B-A23B
4115.0
Grok-4.1-fast
3931.0
Deepseek-V3.2
3561.0
Claude-Opus-4.5
3451.0
A.X-4.0 (72B)
3174.0
GPT-5.1 (high)
3116.0
axk1
2308.0