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Vector Algebra: JEE Main Mathematics Question with Solution If
a ⃗ , b ⃗ , c ⃗ \vec{a}, \vec{b}, \vec{c} a , b , c are three non-zero vectors and
n ^ \hat{n} n ^ is a unit vector perpendicular to
c ⃗ \vec{c} c such that
a ⃗ = α b ⃗ − n ^ , ( α ≠ 0 ) \vec{a}=\alpha \vec{b}-\hat{n},(\alpha \neq 0) a = α b − n ^ , ( α = 0 ) and
b ⃗ ⋅ c ⃗ = 12 \vec{b} \cdot \vec{c}=12 b ⋅ c = 12 , then
∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times(\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ is equal to :
Step-by-step solution View Correct answer
Using a ⃗ × b ⃗ = − n ^ × b ⃗ \vec{a} \times \vec{b} = -\hat{n} \times \vec{b} a × b = − n ^ × b and expanding the vector triple product or magnitude simplifies ∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times (\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ to ∣ b ⃗ ⋅ c ⃗ ∣ = 12 |\vec{b} \cdot \vec{c}| = 12 ∣ b ⋅ c ∣ = 12 . Option analysis
Why each option works or fails A · 9 9 9 Subtracting component magnitudes or assuming a 3-4-5 geometric triangle relationship involving the given dot product. Express a ⃗ × b ⃗ \vec{a} \times \vec{b} a × b directly in terms of n ^ × b ⃗ \hat{n} \times \vec{b} n ^ × b and apply the BAC-CAB expansion or magnitude identity with orthogonal vectors.
B · 15 15 15 Adding components or unit vector terms to the scalar product rather than evaluating the exact vector triple product. Notice that n ^ ⋅ c ⃗ = 0 \hat{n} \cdot \vec{c} = 0 n ^ ⋅ c = 0 , so in the BAC-CAB expansion ( c ⃗ ⋅ b ⃗ ) n ^ − ( c ⃗ ⋅ n ^ ) b ⃗ (\vec{c} \cdot \vec{b})\hat{n} - (\vec{c} \cdot \hat{n})\vec{b} ( c ⋅ b ) n ^ − ( c ⋅ n ^ ) b , the second term vanishes completely.
C · 6 6 6 Halving the result by confusing the magnitude formula with the area of a triangle 1 2 ∣ u ⃗ × v ⃗ ∣ \frac{1}{2}|\vec{u} \times \vec{v}| 2 1 ∣ u × v ∣ . The expression asks for the vector magnitude ∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times (\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ , not the area of a triangle formed by the vectors.
D · 12 12 12 None. The student correctly evaluates a ⃗ × b ⃗ = − n ^ × b ⃗ \vec{a} \times \vec{b} = -\hat{n} \times \vec{b} a × b = − n ^ × b and uses n ^ ⊥ c ⃗ \hat{n} \perp \vec{c} n ^ ⊥ c to find the magnitude is ∣ ( b ⃗ ⋅ c ⃗ ) n ^ ∣ = 12 |(\vec{b} \cdot \vec{c})\hat{n}| = 12 ∣ ( b ⋅ c ) n ^ ∣ = 12 . Keep using direct substitution of linear vector relations into cross products to annihilate collinear terms.
Step Working
01 given Vectors a ⃗ , b ⃗ , c ⃗ \vec{a}, \vec{b}, \vec{c} a , b , c are non-zero. n ^ \hat{n} n ^ is a unit vector perpendicular to c ⃗ \vec{c} c (hence n ^ ⋅ c ⃗ = 0 \hat{n} \cdot \vec{c} = 0 n ^ ⋅ c = 0 and ∣ n ^ ∣ = 1 |\hat{n}| = 1 ∣ n ^ ∣ = 1 ). We are given a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ with α ≠ 0 \alpha \neq 0 α = 0 , and b ⃗ ⋅ c ⃗ = 12 \vec{b} \cdot \vec{c} = 12 b ⋅ c = 12 .
02 goal Evaluate the magnitude of the vector triple product ∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times (\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ .
03 approach Expand c ⃗ × ( a ⃗ × b ⃗ ) \vec{c} \times (\vec{a} \times \vec{b}) c × ( a × b ) using the vector triple product expansion ( c ⃗ ⋅ b ⃗ ) a ⃗ − ( c ⃗ ⋅ a ⃗ ) b ⃗ (\vec{c} \cdot \vec{b})\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} ( c ⋅ b ) a − ( c ⋅ a ) b . Then determine c ⃗ ⋅ a ⃗ \vec{c} \cdot \vec{a} c ⋅ a by taking the dot product of the given relation a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ with c ⃗ \vec{c} c .
04 execute Using the BAC-CAB rule:
c ⃗ × ( a ⃗ × b ⃗ ) = ( c ⃗ ⋅ b ⃗ ) a ⃗ − ( c ⃗ ⋅ a ⃗ ) b ⃗ = 12 a ⃗ − ( c ⃗ ⋅ a ⃗ ) b ⃗ \vec{c} \times (\vec{a} \times \vec{b}) = (\vec{c} \cdot \vec{b})\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} = 12\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} c × ( a × b ) = ( c ⋅ b ) a − ( c ⋅ a ) b = 12 a − ( c ⋅ a ) b
Now, compute c ⃗ ⋅ a ⃗ \vec{c} \cdot \vec{a} c ⋅ a from a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ :
c ⃗ ⋅ a ⃗ = α ( c ⃗ ⋅ b ⃗ ) − c ⃗ ⋅ n ^ = α ( 12 ) − 0 = 12 α \vec{c} \cdot \vec{a} = \alpha (\vec{c} \cdot \vec{b}) - \vec{c} \cdot \hat{n} = \alpha(12) - 0 = 12\alpha c ⋅ a = α ( c ⋅ b ) − c ⋅ n ^ = α ( 12 ) − 0 = 12 α
Substitute c ⃗ ⋅ a ⃗ = 12 α \vec{c} \cdot \vec{a} = 12\alpha c ⋅ a = 12 α back into the expansion:
c ⃗ × ( a ⃗ × b ⃗ ) = 12 a ⃗ − 12 α b ⃗ = 12 ( a ⃗ − α b ⃗ ) \vec{c} \times (\vec{a} \times \vec{b}) = 12\vec{a} - 12\alpha \vec{b} = 12(\vec{a} - \alpha \vec{b}) c × ( a × b ) = 12 a − 12 α b = 12 ( a − α b )
From the given relation, a ⃗ − α b ⃗ = − n ^ \vec{a} - \alpha \vec{b} = -\hat{n} a − α b = − n ^ .
Taking the magnitude:
∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ = ∣ 12 ( − n ^ ) ∣ = 12 ∣ n ^ ∣ = 12 × 1 = 12 |\vec{c} \times (\vec{a} \times \vec{b})| = |12(-\hat{n})| = 12 |\hat{n}| = 12 \times 1 = 12 ∣ c × ( a × b ) ∣ = ∣12 ( − n ^ ) ∣ = 12∣ n ^ ∣ = 12 × 1 = 12
✓ verify Check dimensions and properties: a ⃗ × b ⃗ = ( α b ⃗ − n ^ ) × b ⃗ = − n ^ × b ⃗ = b ⃗ × n ^ \vec{a} \times \vec{b} = (\alpha \vec{b} - \hat{n}) \times \vec{b} = -\hat{n} \times \vec{b} = \vec{b} \times \hat{n} a × b = ( α b − n ^ ) × b = − n ^ × b = b × n ^ . Then c ⃗ × ( b ⃗ × n ^ ) = ( c ⃗ ⋅ n ^ ) b ⃗ − ( c ⃗ ⋅ b ⃗ ) n ^ = 0 − 12 n ^ = − 12 n ^ \vec{c} \times (\vec{b} \times \hat{n}) = (\vec{c} \cdot \hat{n})\vec{b} - (\vec{c} \cdot \vec{b})\hat{n} = 0 - 12\hat{n} = -12\hat{n} c × ( b × n ^ ) = ( c ⋅ n ^ ) b − ( c ⋅ b ) n ^ = 0 − 12 n ^ = − 12 n ^ , whose magnitude is ∣ − 12 n ^ ∣ = 12 |-12\hat{n}| = 12 ∣ − 12 n ^ ∣ = 12 . Both paths match cleanly.
Your next move We think you should solve this next ✓ Source and academic review↓
Question type Single correct
Exam relevance JEE Main · Mathematics
Concepts assessed Mathematics
Academic status Reviewed by official_key
Source pyq
Editorial review 9 September 2026 Quick checks
Students also ask Why is c ⃗ ⋅ n ^ = 0 \vec{c} \cdot \hat{n} = 0 c ⋅ n ^ = 0 ? The problem states that n ^ \hat{n} n ^ is perpendicular to c ⃗ \vec{c} c . The dot product of any two mutually perpendicular vectors is zero.
Why does α \alpha α completely disappear? Because a ⃗ \vec{a} a is a linear combination of b ⃗ \vec{b} b and n ^ \hat{n} n ^ . Any component parallel to b ⃗ \vec{b} b vanishes when taking the cross product with b ⃗ \vec{b} b .
Answer Using a ⃗ × b ⃗ = − n ^ × b ⃗ \vec{a} \times \vec{b} = -\hat{n} \times \vec{b} a × b = − n ^ × b and expanding the vector triple product or magnitude simplifies ∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times (\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ to ∣ b ⃗ ⋅ c ⃗ ∣ = 12 |\vec{b} \cdot \vec{c}| = 12 ∣ b ⋅ c ∣ = 12 .
Why each option works or fails A: 9 9 9 - Subtracting component magnitudes or assuming a 3-4-5 geometric triangle relationship involving the given dot product. Express a ⃗ × b ⃗ \vec{a} \times \vec{b} a × b directly in terms of n ^ × b ⃗ \hat{n} \times \vec{b} n ^ × b and apply the BAC-CAB expansion or magnitude identity with orthogonal vectors. B: 15 15 15 - Adding components or unit vector terms to the scalar product rather than evaluating the exact vector triple product. Notice that n ^ ⋅ c ⃗ = 0 \hat{n} \cdot \vec{c} = 0 n ^ ⋅ c = 0 , so in the BAC-CAB expansion ( c ⃗ ⋅ b ⃗ ) n ^ − ( c ⃗ ⋅ n ^ ) b ⃗ (\vec{c} \cdot \vec{b})\hat{n} - (\vec{c} \cdot \hat{n})\vec{b} ( c ⋅ b ) n ^ − ( c ⋅ n ^ ) b , the second term vanishes completely. C: 6 6 6 - Halving the result by confusing the magnitude formula with the area of a triangle 1 2 ∣ u ⃗ × v ⃗ ∣ \frac{1}{2}|\vec{u} \times \vec{v}| 2 1 ∣ u × v ∣ . The expression asks for the vector magnitude ∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times (\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ , not the area of a triangle formed by the vectors. D · correct: 12 12 12 - None. The student correctly evaluates a ⃗ × b ⃗ = − n ^ × b ⃗ \vec{a} \times \vec{b} = -\hat{n} \times \vec{b} a × b = − n ^ × b and uses n ^ ⊥ c ⃗ \hat{n} \perp \vec{c} n ^ ⊥ c to find the magnitude is ∣ ( b ⃗ ⋅ c ⃗ ) n ^ ∣ = 12 |(\vec{b} \cdot \vec{c})\hat{n}| = 12 ∣ ( b ⋅ c ) n ^ ∣ = 12 . Keep using direct substitution of linear vector relations into cross products to annihilate collinear terms. Step-by-step solution given: Vectors a ⃗ , b ⃗ , c ⃗ \vec{a}, \vec{b}, \vec{c} a , b , c are non-zero. n ^ \hat{n} n ^ is a unit vector perpendicular to c ⃗ \vec{c} c (hence n ^ ⋅ c ⃗ = 0 \hat{n} \cdot \vec{c} = 0 n ^ ⋅ c = 0 and ∣ n ^ ∣ = 1 |\hat{n}| = 1 ∣ n ^ ∣ = 1 ). We are given a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ with α ≠ 0 \alpha \neq 0 α = 0 , and b ⃗ ⋅ c ⃗ = 12 \vec{b} \cdot \vec{c} = 12 b ⋅ c = 12 . goal: Evaluate the magnitude of the vector triple product ∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times (\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ . approach: Expand c ⃗ × ( a ⃗ × b ⃗ ) \vec{c} \times (\vec{a} \times \vec{b}) c × ( a × b ) using the vector triple product expansion ( c ⃗ ⋅ b ⃗ ) a ⃗ − ( c ⃗ ⋅ a ⃗ ) b ⃗ (\vec{c} \cdot \vec{b})\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} ( c ⋅ b ) a − ( c ⋅ a ) b . Then determine c ⃗ ⋅ a ⃗ \vec{c} \cdot \vec{a} c ⋅ a by taking the dot product of the given relation a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ with c ⃗ \vec{c} c . execute: Using the BAC-CAB rule:
c ⃗ × ( a ⃗ × b ⃗ ) = ( c ⃗ ⋅ b ⃗ ) a ⃗ − ( c ⃗ ⋅ a ⃗ ) b ⃗ = 12 a ⃗ − ( c ⃗ ⋅ a ⃗ ) b ⃗ \vec{c} \times (\vec{a} \times \vec{b}) = (\vec{c} \cdot \vec{b})\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} = 12\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} c × ( a × b ) = ( c ⋅ b ) a − ( c ⋅ a ) b = 12 a − ( c ⋅ a ) b
Now, compute c ⃗ ⋅ a ⃗ \vec{c} \cdot \vec{a} c ⋅ a from a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ :
c ⃗ ⋅ a ⃗ = α ( c ⃗ ⋅ b ⃗ ) − c ⃗ ⋅ n ^ = α ( 12 ) − 0 = 12 α \vec{c} \cdot \vec{a} = \alpha (\vec{c} \cdot \vec{b}) - \vec{c} \cdot \hat{n} = \alpha(12) - 0 = 12\alpha c ⋅ a = α ( c ⋅ b ) − c ⋅ n ^ = α ( 12 ) − 0 = 12 α
Substitute c ⃗ ⋅ a ⃗ = 12 α \vec{c} \cdot \vec{a} = 12\alpha c ⋅ a = 12 α back into the expansion:
c ⃗ × ( a ⃗ × b ⃗ ) = 12 a ⃗ − 12 α b ⃗ = 12 ( a ⃗ − α b ⃗ ) \vec{c} \times (\vec{a} \times \vec{b}) = 12\vec{a} - 12\alpha \vec{b} = 12(\vec{a} - \alpha \vec{b}) c × ( a × b ) = 12 a − 12 α b = 12 ( a − α b )
From the given relation, a ⃗ − α b ⃗ = − n ^ \vec{a} - \alpha \vec{b} = -\hat{n} a − α b = − n ^ .
Taking the magnitude:
∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ = ∣ 12 ( − n ^ ) ∣ = 12 ∣ n ^ ∣ = 12 × 1 = 12 |\vec{c} \times (\vec{a} \times \vec{b})| = |12(-\hat{n})| = 12 |\hat{n}| = 12 \times 1 = 12 ∣ c × ( a × b ) ∣ = ∣12 ( − n ^ ) ∣ = 12∣ n ^ ∣ = 12 × 1 = 12 verify: Check dimensions and properties: a ⃗ × b ⃗ = ( α b ⃗ − n ^ ) × b ⃗ = − n ^ × b ⃗ = b ⃗ × n ^ \vec{a} \times \vec{b} = (\alpha \vec{b} - \hat{n}) \times \vec{b} = -\hat{n} \times \vec{b} = \vec{b} \times \hat{n} a × b = ( α b − n ^ ) × b = − n ^ × b = b × n ^ . Then c ⃗ × ( b ⃗ × n ^ ) = ( c ⃗ ⋅ n ^ ) b ⃗ − ( c ⃗ ⋅ b ⃗ ) n ^ = 0 − 12 n ^ = − 12 n ^ \vec{c} \times (\vec{b} \times \hat{n}) = (\vec{c} \cdot \hat{n})\vec{b} - (\vec{c} \cdot \vec{b})\hat{n} = 0 - 12\hat{n} = -12\hat{n} c × ( b × n ^ ) = ( c ⋅ n ^ ) b − ( c ⋅ b ) n ^ = 0 − 12 n ^ = − 12 n ^ , whose magnitude is ∣ − 12 n ^ ∣ = 12 |-12\hat{n}| = 12 ∣ − 12 n ^ ∣ = 12 . Both paths match cleanly. Shortcut: When to use it: Fastest route when the linear combination involves one of the cross-product terms directly.
given: a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ , c ⃗ ⋅ n ^ = 0 \vec{c} \cdot \hat{n} = 0 c ⋅ n ^ = 0 , ∣ n ^ ∣ = 1 |\hat{n}| = 1 ∣ n ^ ∣ = 1 , and b ⃗ ⋅ c ⃗ = 12 \vec{b} \cdot \vec{c} = 12 b ⋅ c = 12 .
goal: Find ∣ c ⃗ × ( a ⃗ × b ⃗ ) ∣ |\vec{c} \times (\vec{a} \times \vec{b})| ∣ c × ( a × b ) ∣ .
approach: Directly substitute a ⃗ = α b ⃗ − n ^ \vec{a} = \alpha \vec{b} - \hat{n} a = α b − n ^ into the inner cross product a ⃗ × b ⃗ \vec{a} \times \vec{b} a × b using the property b ⃗ × b ⃗ = 0 ⃗ \vec{b} \times \vec{b} = \vec{0} b × b = 0 .
execute: Compute the inner cross product:
a ⃗ × b ⃗ = ( α b ⃗ − n ^ ) × b ⃗ = α ( b ⃗ × b ⃗ ) − n ^ × b ⃗ = 0 ⃗ + b ⃗ × n ^ = b ⃗ × n ^ \vec{a} \times \vec{b} = (\alpha \vec{b} - \hat{n}) \times \vec{b} = \alpha(\vec{b} \times \vec{b}) - \hat{n} \times \vec{b} = \vec{0} + \vec{b} \times \hat{n} = \vec{b} \times \hat{n} a × b = ( α b − n ^ ) × b = α ( b × b ) − n ^ × b = 0 + b × n ^ = b × n ^
Now substitute into the full expression:
c ⃗ × ( a ⃗ × b ⃗ ) = c ⃗ × ( b ⃗ × n ^ ) \vec{c} \times (\vec{a} \times \vec{b}) = \vec{c} \times (\vec{b} \times \hat{n}) c × ( a × b ) = c × ( b × n ^ )
Apply the vector triple product expansion:
c ⃗ × ( b ⃗ × n ^ ) = ( c ⃗ ⋅ n ^ ) b ⃗ − ( c ⃗ ⋅ b ⃗ ) n ^ \vec{c} \times (\vec{b} \times \hat{n}) = (\vec{c} \cdot \hat{n})\vec{b} - (\vec{c} \cdot \vec{b})\hat{n} c × ( b × n ^ ) = ( c ⋅ n ^ ) b − ( c ⋅ b ) n ^
Since n ^ ⊥ c ⃗ \hat{n} \perp \vec{c} n ^ ⊥ c , we have c ⃗ ⋅ n ^ = 0 \vec{c} \cdot \hat{n} = 0 c ⋅ n ^ = 0 , and c ⃗ ⋅ b ⃗ = 12 \vec{c} \cdot \vec{b} = 12 c ⋅ b = 12 :
c ⃗ × ( a ⃗ × b ⃗ ) = 0 b ⃗ − 12 n ^ = − 12 n ^ \vec{c} \times (\vec{a} \times \vec{b}) = 0\vec{b} - 12\hat{n} = -12\hat{n} c × ( a × b ) = 0 b − 12 n ^ = − 12 n ^
Take the magnitude:
∣ − 12 n ^ ∣ = 12 ∣ n ^ ∣ = 12 ( 1 ) = 12 |-12\hat{n}| = 12|\hat{n}| = 12(1) = 12 ∣ − 12 n ^ ∣ = 12∣ n ^ ∣ = 12 ( 1 ) = 12
verify: Since ∣ c ⃗ × ( b ⃗ × n ^ ) ∣ = ∣ − 12 n ^ ∣ = 12 |\vec{c} \times (\vec{b} \times \hat{n})| = |-12\hat{n}| = 12 ∣ c × ( b × n ^ ) ∣ = ∣ − 12 n ^ ∣ = 12 , the result is independent of α \alpha α , which perfectly aligns with α \alpha α canceling out in the standard route.