∫Calc Practice

Related rates from an equation

Problem 3.420 · easy

\( \displaystyle x \) and \( \displaystyle y \) are functions of \( \displaystyle t \) related by \( \displaystyle x^{2} + y^{2} = 100 \). If \( \displaystyle \frac{dx}{dt} = -4 \), find \( \displaystyle \frac{dy}{dt} \) when \( \displaystyle x = 6 \) and \( \displaystyle y = 8 \).
  1. \[ 100 \]
    The point satisfies the equation.✓ Proved
  2. Differentiate with respect to t: (2*x)·dx/dt + (2*y)·dy/dt = 0.
    Reviewed
  3. \[ 3 \]
    Solve for dy/dt and substitute.✓ Proved
Answer \( \frac{dy}{dt} = 3 \)

✓ Nihil obstat Lines: 2 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation.

The full receipt
LineStatusChecked byDetail
1✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
2Reviewedreviewers: gpt-oss:20b, qwen3.6:27b-mlxa sentence; read, not computed
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0moved x along at dx/dt, solved for y numerically, differenced in t

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly applies implicit differentiation and substitution to find the rate of change.
Every verdict on record (4)
  • qwen3.6:27b-mlx: pass 2026-10-05 — The solution correctly applies implicit differentiation and substitution to find the rate of change.
  • gpt-oss:20b: pass 2026-10-05
  • qwen3.6:27b-mlx: pass 2026-10-05 — The solution correctly applies implicit differentiation and substitution to find the rate of change.
  • gpt-oss:20b: pass 2026-10-05

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/related_rates_equation, checked 2026-10-05 with SymPy 1.14.0.