∫Calc Practice

Vectors in three dimensions

Problem 9.284 · easy

Express \( \displaystyle \overrightarrow{PQ} \) for \( \displaystyle P(-3, -4, 2) \) and \( \displaystyle Q(-6, -5, 4) \) in component form, and find the unit vector in its direction.
  1. \[ \left[\begin{matrix}-3\\-1\\2\end{matrix}\right] \]
    Q − P.✓ Proved
  2. \[ \sqrt{14} \]
    ‖PQ‖.✓ Proved
  3. \[ \left[\begin{matrix}- \frac{3 \sqrt{14}}{14}\\\frac{\left(-1\right) \sqrt{14}}{14}\\\frac{\sqrt{14}}{7}\end{matrix}\right] = \left[\begin{matrix}- \frac{3 \sqrt{14}}{14}\\- \frac{\sqrt{14}}{14}\\\frac{\sqrt{14}}{7}\end{matrix}\right] \]
    Divide by the length.✓ Proved
Answer \( \left\langle -3, -1, 2 \right\rangle,\ \text{unit vector}\ \left\langle - \frac{3 \sqrt{14}}{14}, - \frac{\sqrt{14}}{14}, \frac{\sqrt{14}}{7} \right\rangle \)

✓ Nihil obstat 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. Reviewers found nothing wrong with the explanation.

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
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0floating point

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly computes the vector components, magnitude, and unit vector. The algebraic steps are verified and the final result matches the stated answer.
Every verdict on record (4)
  • qwen3.6:27b-mlx: pass 2026-10-05 — The solution correctly computes the vector components, magnitude, and unit vector. The algebraic steps are verified and the final result matches the stated answer.
  • gpt-oss:20b: pass 2026-10-05
  • qwen3.6:27b-mlx: pass 2026-10-05 — The solution correctly computes the vector components and the unit vector. The algebraic steps are verified and the final answer matches the stated answer.
  • gpt-oss:20b: pass 2026-10-05

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/vectors_space, checked 2026-10-05 with SymPy 1.14.0.