Divergence and curl
Problem 12.134 · easy
Find the divergence and curl of \( \displaystyle \mathbf{F} = \langle 2 x, 2 y^{2}, x \rangle \).
- \[ \frac{d}{d z} x + \frac{d}{d x} 2 x + \frac{d}{d y} 2 y^{2} = 4 y + 2 \]div F.✓ Proved
- \[ \left[\begin{matrix}\frac{d}{d y} x - \frac{d}{d z} 2 y^{2}\\- \frac{d}{d x} x + \frac{d}{d z} 2 x\\- \frac{d}{d y} 2 x + \frac{d}{d x} 2 y^{2}\end{matrix}\right] = \left[\begin{matrix}0\\-1\\0\end{matrix}\right] \]curl F, component by component.✓ Proved
Answer \( \nabla\cdot\mathbf{F} = 4 y + 2,\quad \nabla\times\mathbf{F} = \langle 0, -1, 0 \rangle \)
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. 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 |
| answer, a second way | ✓ Checked independently | sympy 1.14.0 + mpmath 1.3.0 | difference quotients of each component at (0.3, 0.7, 1.1) agree |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: pass — The solution correctly computes the divergence and curl using standard formulas, and the algebraic results are verified.
Every verdict on record (6)
qwen3.6:27b-mlx: pass 2026-10-03 — The solution correctly computes the divergence and curl using standard formulas, and the algebraic results are verified.gpt-oss:20b: pass 2026-10-03qwen3.6:27b-mlx: pass 2026-09-28 — The solution correctly computes the divergence and curl of the given vector field. The algebraic steps are verified, and the final results match the stated answer.gpt-oss:20b: pass 2026-09-28qwen3.6:27b-mlx: fail (error) 2026-09-28 — The stated answer includes a fourth component (0), implying a 4D vector, but the curl of a 3D vector field is a 3D vector. The solution correctly computes the 3D curl, but the stated answer format is inconsistent with standard vector calculus definitions for 3D fields.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 2026-10-03 with SymPy 1.14.0.