Partial derivatives
Problem 10.241 · hard
For \( \displaystyle f(x, y) = x^{2} \ln{\left(y + 3 \right)} \), find \( \displaystyle f_x \), \( \displaystyle f_y \) and \( \displaystyle f_{xy} \).
- For f_x hold y constant; for f_y hold x constant.Reviewed
- \[ \frac{\partial}{\partial x} x^{2} \ln{\left(y + 3 \right)} = 2 x \ln{\left(y + 3 \right)} \]f_x.✓ Proved
- \[ \frac{\partial}{\partial y} x^{2} \ln{\left(y + 3 \right)} = \frac{x^{2}}{y + 3} \]f_y.✓ Proved
- \[ \frac{\partial}{\partial y} 2 x \ln{\left(y + 3 \right)} = \frac{2 x}{y + 3} \]f_xy: differentiate f_x with respect to y.✓ Proved
- \[ \frac{\partial}{\partial x} \frac{x^{2}}{y + 3} = \frac{2 x}{y + 3} \]Clairaut: f_yx is the same.✓ Proved
Answer \( f_x = 2 x \ln{\left(y + 3 \right)},\quad f_y = \frac{x^{2}}{y + 3},\quad f_{xy} = \frac{2 x}{y + 3} \)
✓ 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 | difference quotients of f at (0.6, 0.4) agree with f_x and f_y |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: pass — The solution correctly applies the rules for partial differentiation and verifies the result using Clairaut's theorem. The setup and calculations are sound.
Every verdict on record (6)
qwen3.6:27b-mlx: pass 2026-10-04 — The solution correctly applies the rules for partial differentiation and verifies the result using Clairaut's theorem. The setup and calculations are sound.gpt-oss:20b: pass 2026-10-04qwen3.6:27b-mlx: pass 2026-09-29 — The solution correctly computes the partial derivatives and verifies Clairaut's theorem. The setup and steps are logically sound and algebraically correct.gpt-oss:20b: pass 2026-09-29qwen3.6:27b-mlx: pass 2026-09-29 — The solution correctly applies the rules for partial differentiation and verifies the equality of mixed partials via Clairaut's theorem. The setup and calculations are sound.gpt-oss:20b: pass 2026-09-29
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/partial_derivatives, checked 2026-10-04 with SymPy 1.14.0.