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Question #40917

Difficulty: 8/10 | 🟢 Free

The Question

Let a⃗,b⃗,\vec{a}, \vec{b}, and c⃗\vec{c} be unit vectors in R3\mathbb{R}^3 satisfying the equation a⃗×(b⃗×c⃗)=12b⃗−12c⃗\vec{a} \times (\vec{b} \times \vec{c}) = \frac{1}{2} \vec{b} - \frac{1}{2} \vec{c} The maximum possible value of ∣a⃗+b⃗+c⃗∣2|\vec{a} + \vec{b} + \vec{c}|^2 is

Options

  • A.

    7

  • B.

    8

  • C.

    9

  • D.

    10

Check Your Answer

Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Specialist

Targeted practice for niche, high-difficulty concepts that frequently appear in JEE Advanced exams.

Concepts Behind This Question

Collinearity and Coplanarity|Vector Triple Product Expansion|The Zero-Factor Cancellation Trap

Why This Question Is Tricky

Common Mistakes

This question tests the 'Zero-Factor Cancellation Trap' in the context of vector linear independence.

When students reach the equation (a⃗⋅c⃗−1/2)b⃗=(a⃗⋅b⃗−1/2)c⃗(\vec{a} \cdot \vec{c} - 1/2)\vec{b} = (\vec{a} \cdot \vec{b} - 1/2)\vec{c}, the algorithmic reflex is to equate the scalar coefficients to zero, implicitly assuming that b⃗\vec{b} and c⃗\vec{c} are linearly independent.

This leads them to a supremum of 7 (Option A).

However, they fail to check the singular case where the vectors are collinear (b⃗=c⃗\vec{b} = \vec{c}).

In this configuration, the equation collapses to 0=00=0, removing the constraints on a⃗\vec{a} entirely and allowing the system to reach a higher maximum of 9.

This penalizes students who manipulate vector equations without verifying linear independence.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterIntroduction to Three-dimensional Geometry - Class 11
ConceptCollinearity and Coplanarity
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree