Triple products and volumes
Problem 9.489 · medium
Find a unit vector orthogonal to both \( \displaystyle \mathbf u = \left\langle 2, -4, -4 \right\rangle \) and \( \displaystyle \mathbf v = \left\langle 3, 0, -4 \right\rangle \).
- \[ \left[\begin{matrix}16\\-4\\12\end{matrix}\right] \]u × v is orthogonal to both.✓ Proved
- \[ \left[\begin{matrix}\frac{2 \sqrt{26}}{13}\\\frac{\left(-1\right) \sqrt{26}}{26}\\\frac{3 \sqrt{26}}{26}\end{matrix}\right] = \left[\begin{matrix}\frac{2 \sqrt{26}}{13}\\- \frac{\sqrt{26}}{26}\\\frac{3 \sqrt{26}}{26}\end{matrix}\right] \]Divide by its length.✓ Proved
Answer \( \left\langle \frac{2 \sqrt{26}}{13}, - \frac{\sqrt{26}}{26}, \frac{3 \sqrt{26}}{26} \right\rangle\ (\text{or its negative}) \)
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
| 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 | length 1 and zero dot product with u and v |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: pass — The solution correctly computes the cross product and normalizes it to find a unit vector orthogonal to both given vectors.
Every verdict on record (4)
gpt-oss:20b: pass 2026-10-11qwen3.6:27b-mlx: pass 2026-10-11 — The solution correctly computes the cross product and normalizes it to find a unit vector orthogonal to both given vectors.qwen3.6:27b-mlx: fail (error) 2026-10-11 — The cross product calculation is incorrect; the correct cross product of <2, -4, -4> and <3, 0, -4> is <16, -4, -12>, not <16, -4, 12>. The z-component sign is wrong.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/triple_product, checked 2026-10-11 with SymPy 1.14.0.