Implicit differentiation with partial derivatives
Problem 10.513 · easy
Use partial derivatives to find \( \displaystyle \frac{dy}{dx} \) at \( \displaystyle (0, 1) \) for the curve \( \displaystyle x^{3} - 3 x y + y^{3} = 1 \).
- \[ \left[\begin{matrix}\frac{\partial}{\partial x} \left(x^{3} - 3 x y + y^{3}\right)\\\frac{\partial}{\partial y} \left(x^{3} - 3 x y + y^{3}\right)\end{matrix}\right] = \left[\begin{matrix}3 x^{2} - 3 y\\- 3 x + 3 y^{2}\end{matrix}\right] \]F_x and F_y.✓ Proved
- \[ 1 \]dy/dx = −F_x/F_y at the point.✓ Proved
Answer \( 1 \)
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. The reviewers disagree about how one step is explained; every verdict is in the receipt.
The full receipt
| Line | Status | Checked by | Detail |
|---|---|---|---|
| 1 | ✓ Proved | sympy 1.14.0 | simplify(lhs - rhs) reduced to 0 |
| 2 | ✓ 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 | solved the equation numerically near the point and differenced |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: fail (error) — The solution fails to evaluate the partial derivatives at the specific point (0, 1) before computing the ratio, resulting in a tautology (1=1) rather than the correct value of dy/dx. The correct calculation requires substituting x=0 and y=1 into F_x and F_y.
Every verdict on record (4)
qwen3.6:27b-mlx: fail (error) 2026-10-12 — The solution fails to evaluate the partial derivatives at the specific point (0, 1) before computing the ratio, resulting in a tautology (1=1) rather than the correct value of dy/dx. The correct calculation requires substituting x=0 and y=1 into F_x and F_y.gpt-oss:20b: pass 2026-10-12gpt-oss:20b: pass 2026-10-12qwen3.6:27b-mlx: fail (error) 2026-10-12 — The solution fails to evaluate the partial derivatives at the specific point (0, 1) and does not perform the division to calculate the final value. It merely states the formula and an identity, leaving the actual computation of dy/dx incomplete.
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/implicit_partials, checked 2026-10-12 with SymPy 1.14.0.