Partial derivatives
Problem 10.129 · hard
- For f_x hold y constant; for f_y hold x constant.Reviewed
- \[ \frac{\partial}{\partial x} \frac{x + 3 y}{x - y + 2} = \frac{2 - 4 y}{\left(x - y + 2\right)^{2}} \]f_x.✓ Proved
- \[ \frac{\partial}{\partial y} \frac{x + 3 y}{x - y + 2} = \frac{4 x + 6}{\left(x - y + 2\right)^{2}} \]f_y.✓ Proved
- \[ \frac{\partial}{\partial y} \frac{2 - 4 y}{\left(x - y + 2\right)^{2}} = \frac{- 4 x - 4 y - 4}{\left(x - y + 2\right)^{3}} \]f_xy: differentiate f_x with respect to y.✓ Proved
- \[ \frac{\partial}{\partial x} \frac{4 x + 6}{\left(x - y + 2\right)^{2}} = \frac{- 4 x - 4 y - 4}{\left(x - y + 2\right)^{3}} \]Clairaut: f_yx is the same.✓ Proved
✓ 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 | claude-sonnet-5-5 | claude-sonnet-5-5: This is a sentence, not an equation: it states that f_x holds y constant and f_y holds x constant, which is the definition of a partial derivative. |
| 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: fail (error) — The computed partial derivatives are incorrect. For example, f_x should be -2y/(x-y+2)^2, but the solution gives 2(1-2y)/(x-y+2)^2. The algebraic results in lines 2, 3, 4, and 5 are all wrong.
Senior review claude-sonnet-5-5, 2026-09-30: pass — All derivatives verified by hand: f_x = 2(1-2y)/D^2, f_y = 2(2x+3)/D^2, and both mixed partials equal -4(x+y+1)/D^3. Line 1 is a correct statement of the partial-derivative convention.
qwen3.6:27b-mlx: dismiss — By the quotient rule f_x = ((x-y+2)-(x+3y))/(x-y+2)^2 = (2-4y)/(x-y+2)^2 = 2(1-2y)/(x-y+2)^2, so the stated result is correct and the claimed -2y/(x-y+2)^2 is wrong; f_y, f_xy and f_yx also check out by hand.
Every verdict on record (7)
claude-sonnet-5-5: pass 2026-09-30 — All derivatives verified by hand: f_x = 2(1-2y)/D^2, f_y = 2(2x+3)/D^2, and both mixed partials equal -4(x+y+1)/D^3. Line 1 is a correct statement of the partial-derivative convention.qwen3.6:27b-mlx: fail (error) 2026-09-28 — The computed partial derivatives are incorrect. For example, f_x should be -2y/(x-y+2)^2, but the solution gives 2(1-2y)/(x-y+2)^2. The algebraic results in lines 2, 3, 4, and 5 are all wrong.gpt-oss:20b: pass 2026-09-28qwen3.6:27b-mlx: pass 2026-09-27 — The solution correctly identifies the partial derivatives and the mixed partial derivative. The application of Clairaut's theorem is valid as the function is rational and smooth away from the singularity.gpt-oss:20b: pass 2026-09-27qwen3.6:27b-mlx: pass 2026-09-26 — The solution correctly identifies the partial derivatives and the mixed partial derivative. The application of Clairaut's theorem is valid as the function is rational and smooth away from the singularity.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/partial_derivatives, checked 2026-09-28 with SymPy 1.14.0.