GATE AE 2018 • Q11 MCQ • 1 Mark

Engineering Mathematics

Linear Algebra

Subtopic: Vector Algebra & Cross Products

Question Statement:

Let $\vec{a}, \vec{b}$ be two distinct vectors that are not parallel. The vector $\vec{c} = \vec{a} \times \vec{b}$ is:

Options:

  • (A) zero.
  • (B) orthogonal to $\vec{a}$ alone.
  • (C) orthogonal to $\vec{a} + \vec{b}$.
  • (D) orthogonal to $\vec{b}$ alone.

Official Answer Key:

C

Step-by-Step Solution & Explanation

### **Detailed Step-by-Step Solution (GATE AE 2018 Q.11 / AE Q.1)** **1. Intuitive Physical Setup & Given Parameters**: - Let $\vec{a}$ and $\vec{b}$ be two distinct non-zero, non-parallel vectors in $\mathbb{R}^3$. - Vector $\vec{c} = \vec{a} \times \vec{b}$. **2. Step-by-Step Mathematical Derivation**: 1. **Properties of Cross Product**: By definition of the vector cross product, $\vec{c} = \vec{a} \times \vec{b}$ is perpendicular (orthogonal) to the plane containing both $\vec{a}$ and $\vec{b}$. Therefore: $\vec{c} \cdot \vec{a} = 0 \quad \text{and} \quad \vec{c} \cdot \vec{b} = 0$ 2. **Orthogonality to the Sum $\vec{a} + \vec{b}$**: Consider the dot product of $\vec{c}$ with $(\vec{a} + \vec{b})$: $\vec{c} \cdot (\vec{a} + \vec{b}) = (\vec{c} \cdot \vec{a}) + (\vec{c} \cdot \vec{b}) = 0 + 0 = 0$ Since the dot product is identically zero, $\vec{c}$ is orthogonal to $\vec{a} + \vec{b}$. **3. Comprehensive Options & Distractor Analysis**: - **(A)** *zero*: ❌ Incorrect. Since $\vec{a}$ and $\vec{b}$ are not parallel, $\vec{a} \times \vec{b} \neq 0$. - **(B)** *orthogonal to $\vec{a}$ alone*: ❌ Incorrect. The word 'alone' is false; $\vec{c}$ is orthogonal to *both* $\vec{a}$ and $\vec{b}$. - **(C)** *orthogonal to $\vec{a} + \vec{b}$*: ✅ **CORRECT**. Directly proved via linearity of dot product: $\vec{c}\cdot(\vec{a}+\vec{b}) = 0$. - **(D)** *orthogonal to $\vec{b}$ alone*: ❌ Incorrect. Again, 'alone' is incorrect. **4. Official Master Key & Exam Takeaway**: - **Official Answer**: **C** - **Exam Rule**: If a vector is perpendicular to two vectors, it is perpendicular to any linear combination of those two vectors.

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