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Flux across a plane curve

Problem 12.329 · medium

Find the flux of \( \displaystyle \mathbf F = \left\langle x, y \right\rangle \) across the segment from (0, 0) to (1, 1).

With r(t) = <t, t>, the normal n ds = ⟨y′, −x′⟩ dt (to the right of the direction of travel), so flux = ∫ (P y′ − Q x′) dt.
Reviewed
\[ \frac{d}{d t} t \left. x \right|_{\substack{ x=t\\ y=t }} - \frac{d}{d t} t \left. y \right|_{\substack{ x=t\\ y=t }} = 0 \]
P y′ − Q x′.✓ Proved
\[ \int\limits_{0}^{1} 0\, dt = 0 \]
Integrate.✓ Proved

Answer \( 0 \)

✓ Nihil obstat Lines: 2 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. How we verify

The full receipt

Line	Status	Checked by	Detail
1	Reviewed	reviewers: gpt-oss:20b, qwen3.6:27b-mlx	a sentence; read, not computed
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	F · n summed over a 20,000-segment polyline

Reviewers

gpt-oss:20b: pass
qwen3.6:27b-mlx: pass — The solution correctly identifies the parameterization and the formula for flux across a curve in 2D. The calculation is correct, and the result is 0.

Every verdict on record (6)

qwen3.6:27b-mlx: pass 2026-10-17 — The solution correctly identifies the parameterization and the formula for flux across a curve in 2D. The calculation is correct, and the result is 0.
gpt-oss:20b: pass 2026-10-17
qwen3.6:27b-mlx: pass 2026-10-15 — The solution correctly identifies the flux integral formula for a 2D vector field across a curve, parameterizes the segment correctly, and computes the integral accurately.
gpt-oss:20b: pass 2026-10-15
qwen3.6:27b-mlx: pass 2026-10-14 — The solution correctly identifies the normal vector for the flux integral and computes the result as 0. The phrasing 'to the right' is consistent with the chosen normal <y', -x'> for the given parametrization.
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/flux_plane, checked 2026-10-17 with SymPy 1.14.0.