Projections and orthogonality
Problem 9.503 · easy
Which pairs of \( \displaystyle \mathbf a = \left\langle -4, -2, 1 \right\rangle \), \( \displaystyle \mathbf b = \left\langle 14, -13, 30 \right\rangle \), \( \displaystyle \mathbf c = \left\langle -3, -6, 5 \right\rangle \) are orthogonal?
- \[ \left[\begin{matrix}0\\29\\186\end{matrix}\right] \]a·b, a·c, b·c.✓ Proved
- Two nonzero vectors are orthogonal exactly when their dot product is 0.
Answer \( \mathbf a \perp \mathbf b \)
Lines: 1 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
| Line | Status | Checked by | Detail |
|---|---|---|---|
| 1 | ✓ Proved | sympy 1.14.0 | simplify(lhs - rhs) reduced to 0 |
| 2 | Not checked | — | a sentence; read, not computed |
| answer, a second way | ✓ Checked independently | sympy 1.14.0 + mpmath 1.3.0 | dot products recomputed |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: fail (error) — The solution computes the dot products but fails to explicitly state which pairs are orthogonal based on the results. It lists the dot products as 0, 29, and 186, but does not conclude that only a and b are orthogonal, leaving the answer incomplete.
Every verdict on record (4)
gpt-oss:20b: pass 2026-10-11qwen3.6:27b-mlx: fail (error) 2026-10-11 — The solution computes the dot products but fails to explicitly state which pairs are orthogonal based on the results. It lists the dot products as 0, 29, and 186, but does not conclude that only a and b are orthogonal, leaving the answer incomplete.gpt-oss:20b: pass 2026-10-11qwen3.6:27b-mlx: pass 2026-10-11 — The solution correctly identifies the orthogonality condition and the computed dot products support the stated answer.
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/vector_projection, checked 2026-10-11 with SymPy 1.14.0.