∫Calc Practice

Jacobians and change of variables

Problem 11.355 · easy

Find the Jacobian \( \displaystyle \dfrac{\partial(x, y)}{\partial(u, v)} \) of the transformation \( \displaystyle x = - 3 u - 2 v \), \( \displaystyle y = - u - 2 v \).
  1. \[ \left[\begin{matrix}\frac{\partial}{\partial u} \left(- 3 u - 2 v\right) & \frac{\partial}{\partial v} \left(- 3 u - 2 v\right)\\\frac{\partial}{\partial u} \left(- u - 2 v\right) & \frac{\partial}{\partial v} \left(- u - 2 v\right)\end{matrix}\right] = \left[\begin{matrix}-3 & -2\\-1 & -2\end{matrix}\right] \]
    The matrix of partial derivatives.✓ Proved
  2. \[ 4 \]
    Its determinant: x_u·y_v − x_v·y_u.✓ Proved
  3. |J| is the factor by which the transformation stretches small areas: dA = |J| du dv.
Answer \( 4 \)

Lines: 2 proved, 1 not checked. 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
LineStatusChecked byDetail
1✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
3Not checked—a sentence; read, not computed
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0the image of a tiny square measured by the shoelace formula

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: fail (misleading) — The problem asks for the Jacobian determinant, which is 4. The final sentence incorrectly introduces the absolute value |J| and discusses area scaling, which is irrelevant to finding the Jacobian itself and implies the answer might be |4| rather than 4.
Every verdict on record (4)
  • gpt-oss:20b: pass 2026-10-11
  • qwen3.6:27b-mlx: fail (misleading) 2026-10-11 — The problem asks for the Jacobian determinant, which is 4. The final sentence incorrectly introduces the absolute value |J| and discusses area scaling, which is irrelevant to finding the Jacobian itself and implies the answer might be |4| rather than 4.
  • qwen3.6:27b-mlx: fail (misleading) 2026-10-11 — The problem asks for the Jacobian determinant, but the solution concludes with the absolute value |J|. While the numerical value is the same here (4), the Jacobian itself is a signed quantity, and equating it to |J| teaches the incorrect concept that the Jacobian is always positive.
  • gpt-oss:20b: pass 2026-10-11

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/jacobian, checked 2026-10-11 with SymPy 1.14.0.