Optimization
Problem 3.79 · medium
Two nonnegative numbers add up to 12. What is the largest possible value of their product?
- If one number is x, the other is 12 − x, and the product is P(x) = x(12 − x) for 0 ≤ x ≤ 12.Reviewed
- \[ \frac{d}{d x} x \left(12 - x\right) = 12 - 2 x \]P'(x).✓ Proved
- \[ \left. 12 - 2 x \right|_{\substack{ x=6 }} = 0 \]P'(x) = 0 at x = 6.✓ Proved
- \[ \left. x \left(12 - x\right) \right|_{\substack{ x=6 }} = 36 \]At the endpoints P = 0, so this is the maximum.✓ Proved
Answer \( 36 \)
Lines: 3 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. The reviewers disagree about how one step is explained; every verdict is in the receipt. How we verify
The full receipt
| Line | Status | Checked by | Detail |
|---|---|---|---|
| 1 | Reviewed | reviewers: gpt-oss:20b, qwen3.6:27b-mlx | a sentence; read, not computed |
| 2 | ✓ Proved | sympy 1.14.0 | simplify(lhs - rhs) reduced to 0 |
| 3 | ✓ Proved | sympy 1.14.0 | simplify(lhs - rhs) reduced to 0 |
| 4 | ✓ Proved | sympy 1.14.0 | simplify(lhs - rhs) reduced to 0 |
| answer, a second way | ✓ Checked independently | sympy 1.14.0 + mpmath 1.3.0 | the objective sampled at 200,001 points of its interval tops out at the same value |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: pass — The solution correctly sets up the optimization problem, identifies the critical point, and verifies it is the maximum by comparing with endpoints.
Every verdict on record (6)
qwen3.6:27b-mlx: pass 2026-09-28 — The solution correctly sets up the optimization problem, identifies the critical point, and verifies it is the maximum by comparing with endpoints.gpt-oss:20b: pass 2026-09-28qwen3.6:27b-mlx: fail (error) 2026-09-27 — The solution identifies the critical point but fails to verify it is a maximum (e.g., via the second derivative test or checking endpoints). It incorrectly claims the value at x=6 is the maximum solely because the endpoints are zero, ignoring the possibility of other critical points or local minima.gpt-oss:20b: pass 2026-09-27qwen3.6:27b-mlx: fail (misleading) 2026-09-26 — The sentence claims the maximum is determined because the endpoints are 0, but it fails to explicitly verify that x=6 is a maximum (e.g., via the second derivative test or sign change of P'). While the conclusion is correct, the reasoning is incomplete and could mislead a student into thinking endpoint comparison alone is sufficient without checking the nature of the critical point.gpt-oss:20b: pass 2026-09-26
Proved: SymPy reduced the difference between the two sides to zero. Checked independently: a separate
method, named above, confirmed it. Checked numerically: the two sides agree at every sampled point, which is evidence,
not proof. Reviewed: a model or a person read it; that is all a sentence can have. Solution by
generator:structured/optimization, checked 2026-09-28 with SymPy 1.14.0.