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Cross product

Problem 9.102 · easy

Find \( \displaystyle \mathbf{u} \times \mathbf{v} \) for \( \displaystyle \mathbf{u} = \langle -2, 0, 1 \rangle,\ \mathbf{v} = \langle 0, -1, 0 \rangle \), and the area of the parallelogram they span.
  1. Expand the determinant with rows i j k, u, v.
  2. \[ \left[\begin{matrix}1\\0\\2\end{matrix}\right] \]
    The components.✓ Proved
  3. \[ \sqrt{5} \]
    Area = |u × v|.✓ Proved
Answer \( \mathbf{u}\times\mathbf{v} = \langle 1, 0, 2 \rangle,\quad \text{area} = \sqrt{5} \)

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
1Not checked—a sentence; read, not computed
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0Lagrange's identity √(|u|²|v|² − (u·v)²) gives the same area

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: fail (error) — The solution fails to explicitly state the cross product vector, which is required by the problem statement ('Find u x v'). It jumps directly to the magnitude calculation without showing the intermediate vector result.
Every verdict on record (4)
  • qwen3.6:27b-mlx: fail (error) 2026-09-26 — The solution fails to explicitly state the cross product vector, which is required by the problem statement ('Find u x v'). It jumps directly to the magnitude calculation without showing the intermediate vector result.
  • gpt-oss:20b: pass 2026-09-26
  • qwen3.6:27b-mlx: fail (error) 2026-09-26 — The solution fails to actually compute the cross product, providing no intermediate steps or result for \mathbf{u} \times \mathbf{v}. Furthermore, the unchecked equations contain nonsensical data (identical matrices and repeated scalars) that do not correspond to the vectors given in the problem.
  • gpt-oss:20b: inconclusive 2026-09-26 — reviewer returned a non-object

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/cross_product_area, checked 2026-09-26 with SymPy 1.14.0.