∫Calc Practice

Classic optimization: wire, window, fence

Problem 3.677 · medium

An open box is made from a \( \displaystyle 30 \times 30 \) sheet by cutting equal squares of side \( \displaystyle x \) from the corners and folding up the sides. What \( \displaystyle x \) gives the largest volume, and what is it?
  1. V(x) = x(30 − 2x)², for 0 < x < 15.
    Reviewed
  2. \[ \frac{d}{d x} x \left(30 - 2 x\right)^{2} = \left(x - 5\right) \left(12 x - 180\right) \]
    Differentiate.✓ Proved
  3. \[ \left. 12 \left(x - 15\right) \left(x - 5\right) \right|_{\substack{ x=5 }} = 0 \]
    The only critical point in the domain is x = 5.✓ Proved
  4. \[ \left. \frac{d^{2}}{d x^{2}} x \left(30 - 2 x\right)^{2} \right|_{\substack{ x=5 }} = -120 \]
    The second derivative is negative: a maximum.✓ Proved
  5. \[ \left. x \left(30 - 2 x\right)^{2} \right|_{\substack{ x=5 }} = 2000 \]
    The volume there.✓ Proved
Answer \( x = 5,\ \text{volume} = 2000 \)

✓ 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
LineStatusChecked byDetail
1Reviewedreviewers: gpt-oss:20b, qwen3.6:27b-mlxa sentence; read, not computed
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
4✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
5✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0the objective sampled at 200,000 points across the domain

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly models the volume, identifies the critical point, verifies it is a maximum using the second derivative test, and calculates the correct volume.
Every verdict on record (6)
  • qwen3.6:27b-mlx: pass 2026-10-17 — The solution correctly models the volume, identifies the critical point, verifies it is a maximum using the second derivative test, and calculates the correct volume.
  • gpt-oss:20b: pass 2026-10-17
  • qwen3.6:27b-mlx: pass 2026-10-14 — The solution correctly models the volume, identifies the critical point, verifies it is a maximum using the second derivative test, and calculates the correct volume. The domain restriction is appropriate.
  • gpt-oss:20b: pass 2026-10-14
  • qwen3.6:27b-mlx: pass 2026-10-14 — The solution correctly models the volume, identifies the critical point within the valid domain, and verifies it is a maximum using the second derivative test. The final calculation is correct.
  • gpt-oss:20b: pass 2026-10-14

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_classic, checked 2026-10-17 with SymPy 1.14.0.