JEE PYQ: Vector Algebra - Question ID 0395fc890c7c (JEE Main 2022)

ID: 0395fc890c7cJEE Main 2022Numerical Value

If the projection of 2i^+4j^−2k^2 \hat{i}+4 \hat{j}-2 \hat{k} on i^+2j^+αk^\hat{i}+2 \hat{j}+\alpha \hat{k} is zero. Then, the value of α\alpha will be ___________.

Your Answer

Step-by-step Explanation

Core Formula & Concept:

In vector algebra, the projection of a vector A⃗\vec{A} onto another vector B⃗\vec{B} is a scalar quantity given by: Projection of A⃗ on B⃗=A⃗⋅B⃗∣B⃗∣\text{Projection of } \vec{A} \text{ on } \vec{B} = \frac{\vec{A} \cdot \vec{B}}{|\vec{B}|} However, the problem states that the projection is zero. This implies that the numerator of the projection formula, i.e., the dot product A⃗⋅B⃗\vec{A} \cdot \vec{B}, must be zero. This is because the magnitude ∣B⃗∣|\vec{B}| is always positive and cannot make the projection zero unless the dot product itself is zero.

The dot product of two vectors A⃗=a1i^+a2j^+a3k^\vec{A} = a_1 \hat{i} + a_2 \hat{j} + a_3 \hat{k} and B⃗=b1i^+b2j^+b3k^\vec{B} = b_1 \hat{i} + b_2 \hat{j} + b_3 \hat{k} is: A⃗⋅B⃗=a1b1+a2b2+a3b3\vec{A} \cdot \vec{B} = a_1 b_1 + a_2 b_2 + a_3 b_3 If A⃗⋅B⃗=0\vec{A} \cdot \vec{B} = 0, the vectors are perpendicular (orthogonal) to each other.

Step-by-Step Derivation:

Given: A⃗=2i^+4j^−2k^\vec{A} = 2 \hat{i} + 4 \hat{j} - 2 \hat{k} B⃗=i^+2j^+αk^\vec{B} = \hat{i} + 2 \hat{j} + \alpha \hat{k} The projection of A⃗\vec{A} on B⃗\vec{B} is zero, so: A⃗⋅B⃗∣B⃗∣=0  ⟹  A⃗⋅B⃗=0\frac{\vec{A} \cdot \vec{B}}{|\vec{B}|} = 0 \implies \vec{A} \cdot \vec{B} = 0

Compute the dot product A⃗⋅B⃗\vec{A} \cdot \vec{B}: A⃗⋅B⃗=(2)(1)+(4)(2)+(−2)(α)=2+8−2α\vec{A} \cdot \vec{B} = (2)(1) + (4)(2) + (-2)(\alpha) = 2 + 8 - 2\alpha Set the dot product to zero: 2+8−2α=02 + 8 - 2\alpha = 0 Simplify: 10−2α=0  ⟹  2α=10  ⟹  α=510 - 2\alpha = 0 \implies 2\alpha = 10 \implies \alpha = 5

Common Traps & Exam Tip:

  1. Misinterpreting the projection formula: Some students confuse the projection formula with the component of a vector along another. Remember, the projection is A⃗⋅B⃗∣B⃗∣\frac{\vec{A} \cdot \vec{B}}{|\vec{B}|}, not A⃗⋅B⃗∣A⃗∣\frac{\vec{A} \cdot \vec{B}}{|\vec{A}|} or ∣A⃗∣cos⁡θ|\vec{A}| \cos \theta.
  2. Ignoring the condition for zero projection: Students often forget that the projection is zero only if the dot product is zero. They might incorrectly set the magnitude ∣B⃗∣|\vec{B}| to zero, which is impossible since magnitudes are always non-negative.
  3. Sign errors in dot product calculation: A common mistake is misplacing the sign of the k^\hat{k} component, leading to incorrect values for α\alpha. Always double-check the signs of each component.
  4. Overcomplicating the problem: Some students introduce unnecessary steps, such as calculating the angle between vectors or the magnitude of B⃗\vec{B}. Stick to the condition A⃗⋅B⃗=0\vec{A} \cdot \vec{B} = 0 for simplicity.

Exam Tip: For problems involving projections or orthogonality, always start by writing the dot product condition. This simplifies the problem and avoids unnecessary calculations.