Optimization
Problem 3.87 · medium
A farmer has 200 m of fencing to enclose a rectangular pen. What dimensions maximize the area, and what is the maximum area?
- Let the sides be x and y. Then 2x + 2y = 200, so y = 100 − x, and the area is A(x) = x(100 − x) for 0 < x < 100.Reviewed
- \[ \frac{d}{d x} x \left(100.0 - x\right) = 100.0 - 2 x \]A'(x).✓ Proved
- \[ \left. 100.0 - 2 x \right|_{\substack{ x=50.0 }} = 0 \]A'(x) = 0 at x = 50.0000000000000.✓ Proved
- \[ \frac{d^{2}}{d x^{2}} x \left(100.0 - x\right) = -2 \]A'' < 0, so this is a maximum.✓ Proved
- \[ \left. x \left(100.0 - x\right) \right|_{\substack{ x=50.0 }} = 2500.0 \]A square 50.0000000000000 m by 50.0000000000000 m.✓ Proved
Answer \( 2500.0 \)
✓ Nihil obstat Lines: 4 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. 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 |
| 5 | ✓ 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, verifies it is a maximum using the second derivative test, and calculates the correct maximum area.
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, verifies it is a maximum using the second derivative test, and calculates the correct maximum area.gpt-oss:20b: pass 2026-09-28qwen3.6:27b-mlx: pass 2026-09-27 — The solution correctly sets up the optimization problem, identifies the critical point, verifies it is a maximum using the second derivative test, and calculates the correct maximum area.gpt-oss:20b: pass 2026-09-27qwen3.6:27b-mlx: pass 2026-09-26 — The solution correctly sets up the optimization problem, identifies the critical point, verifies it is a maximum using the second derivative test, and calculates the correct maximum area.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.