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Divergence and curl

Problem 12.136 · easy

Find the divergence and curl of \( \displaystyle \mathbf{F} = \langle - 3 x, x, x \rangle \).
  1. \[ \frac{d}{d x} \left(- 3 x\right) + \frac{d}{d y} x + \frac{d}{d z} x = -3 \]
    div F.✓ Proved
  2. \[ \left[\begin{matrix}\frac{d}{d y} x - \frac{d}{d z} x\\\frac{d}{d z} \left(- 3 x\right) - \frac{d}{d x} x\\- \frac{d}{d y} \left(- 3 x\right) + \frac{d}{d x} x\end{matrix}\right] = \left[\begin{matrix}0\\-1\\1\end{matrix}\right] \]
    curl F, component by component.✓ Proved
Answer \( \nabla\cdot\mathbf{F} = -3,\quad \nabla\times\mathbf{F} = \langle 0, -1, 1 \rangle \)

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
LineStatusChecked byDetail
1✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0difference quotients of each component at (0.3, 0.7, 1.1) agree

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: fail (error) — The stated answer is a 4x1 matrix, but the divergence and curl of a 3D vector field are a scalar and a 3D vector, respectively. The solution calculates the correct values but fails to present them in the format implied by the stated answer or standard convention.
Every verdict on record (4)
  • qwen3.6:27b-mlx: fail (error) 2026-09-28 — The stated answer is a 4x1 matrix, but the divergence and curl of a 3D vector field are a scalar and a 3D vector, respectively. The solution calculates the correct values but fails to present them in the format implied by the stated answer or standard convention.
  • gpt-oss:20b: pass 2026-09-28
  • qwen3.6:27b-mlx: fail (error) 2026-09-28 — The stated answer is a 4x1 matrix, which is dimensionally incorrect for a 3D vector field's divergence and curl. The solution calculates the divergence as a scalar (-3) and the curl as a 3D vector, but fails to combine them into the correct format or explain the discrepancy with the provided answer.
  • gpt-oss:20b: pass 2026-09-28

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/divergence_curl, checked 2026-09-28 with SymPy 1.14.0.