The chain rule in Leibniz notation
Problem 2.2303 · easy
Let \( \displaystyle y = - 2 u - 4 \) and \( \displaystyle u = - 3 x^{2} - 1 \). Find \( \displaystyle \dfrac{dy}{dx} \) using \( \displaystyle \dfrac{dy}{dx} = \dfrac{dy}{du}\dfrac{du}{dx} \).
- \[ \frac{d}{d u} \left(- 2 u - 4\right) = -2 \]dy/du.✓ Proved
- \[ \frac{d}{d x} \left(- 3 x^{2} - 1\right) = - 6 x \]du/dx.✓ Proved
- \[ - 6 x \left. -2 \right|_{\substack{ u=- 3 x^{2} - 1 }} = 12 x \]Multiply, and write u in terms of x.✓ Proved
Answer \( \frac{dy}{dx} = 12 x \)
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. How we verify
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 |
| 3 | ✓ 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 | a central difference of y(u(x)) at three points |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: pass — The solution correctly applies the chain rule and computes the derivatives. The final expression is in terms of x as required.
Every verdict on record (6)
qwen3.6:27b-mlx: pass 2026-10-18 — The solution correctly applies the chain rule and computes the derivatives. The final expression is in terms of x as required.gpt-oss:20b: pass 2026-10-18qwen3.6:27b-mlx: pass 2026-10-15 — The solution correctly applies the chain rule and computes the derivatives. Although the notation in step 3 is slightly unconventional (suggesting substitution into a constant), the arithmetic result is correct and the logic holds.gpt-oss:20b: pass 2026-10-15qwen3.6:27b-mlx: fail (error) 2026-10-14 — The solution incorrectly substitutes the constant derivative dy/du into the expression for u, implying a dependency that does not exist. The chain rule requires multiplying dy/du by du/dx directly, not substituting dy/du into u.gpt-oss:20b: pass 2026-10-14
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/chain_rule_leibniz, checked 2026-10-18 with SymPy 1.14.0.