∫Calc Practice

Business applications: cost, revenue and profit

Problem 3.735 · medium

A company's cost to make \( \displaystyle x \) units is \( \displaystyle C(x) = \frac{x^{2}}{20} + 8 x + 1500 \) dollars, and each unit sells for \( \displaystyle \$38 \). Find the marginal cost at \( \displaystyle x = 100 \), and the number of units that maximizes profit, and that profit.
  1. \[ \left. \frac{d}{d x} \left(\frac{x^{2}}{20} + 8 x + 1500\right) \right|_{\substack{ x=100 }} = 18 \]
    Marginal cost C′(100): about the cost of unit 101.✓ Proved
  2. \[ 38 x - \left(\frac{x^{2}}{20} + 8 x + 1500\right) = - \frac{x^{2}}{20} + 30 x - 1500 \]
    Profit = revenue − cost.✓ Proved
  3. \[ \frac{d}{d x} \left(- \frac{x^{2}}{20} + 30 x - 1500\right) = 30 - \frac{x}{10} \]
    P′(x).✓ Proved
  4. \[ \left. 30 - \frac{x}{10} \right|_{\substack{ x=300 }} = 0 \]
    P′ = 0 at x = 300.✓ Proved
  5. \[ \frac{d^{2}}{d x^{2}} \left(- \frac{x^{2}}{20} + 30 x - 1500\right) = - \frac{1}{10} \]
    P″ < 0: a maximum.✓ Proved
  6. \[ \left. 30 x + \frac{\left(-1\right) x^{2}}{20} - 1500 \right|_{\substack{ x=300 }} = 3000 \]
    The maximum profit.✓ Proved
Answer \( C'(100) = 18,\ x = 300,\ P(300) = 3000 \)

✓ Nihil obstat Every line of this solution was proved by the computer algebra system SymPy. 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
1✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
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
6✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0profit tried at every whole number of units from 0 to 20000; marginal cost by a central difference

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly derives the profit function, identifies the critical point, verifies it is a maximum using the second derivative test, and calculates the correct values for marginal cost, optimal units, and maximum profit.
Every verdict on record (6)
  • qwen3.6:27b-mlx: pass 2026-10-19 — The solution correctly derives the profit function, identifies the critical point, verifies it is a maximum using the second derivative test, and calculates the correct values for marginal cost, optimal units, and maximum profit.
  • gpt-oss:20b: pass 2026-10-19
  • qwen3.6:27b-mlx: pass 2026-10-18
  • gpt-oss:20b: pass 2026-10-18
  • qwen3.6:27b-mlx: pass 2026-10-18
  • gpt-oss:20b: pass 2026-10-18

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/marginal_analysis, checked 2026-10-19 with SymPy 1.14.0.