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Vector Algebra: JEE Main Mathematics Question with Solution Let
a ⃗ \vec{\mathrm{a}} a and
b ⃗ \vec{\mathrm{b}} b be two vectors, Let
∣ a ⃗ ∣ = 1 , ∣ b ⃗ ∣ = 4 |\vec{\mathrm{a}}| = 1, |\vec{\mathrm{b}}| = 4 ∣ a ∣ = 1 , ∣ b ∣ = 4 and
a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 . If
c ⃗ = ( 2 a ⃗ × b ⃗ ) − 3 b ⃗ \vec{\mathrm{c}} = (2\vec{\mathrm{a}} \times \vec{\mathrm{b}}) - 3\vec{\mathrm{b}} c = ( 2 a × b ) − 3 b , then the value of
b ⃗ ⋅ c ⃗ \vec{\mathrm{b}} \cdot \vec{\mathrm{c}} b ⋅ c is
Step-by-step solution View Correct answer
Taking the dot product of b ⃗ \vec{\mathrm{b}} b with c ⃗ \vec{\mathrm{c}} c eliminates the cross product term because b ⃗ ⋅ ( a ⃗ × b ⃗ ) = 0 \vec{\mathrm{b}} \cdot (\vec{\mathrm{a}} \times \vec{\mathrm{b}}) = 0 b ⋅ ( a × b ) = 0 , leaving − 3 ∣ b ⃗ ∣ 2 = − 3 ( 16 ) = − 48 -3|\vec{\mathrm{b}}|^2 = -3(16) = -48 − 3∣ b ∣ 2 = − 3 ( 16 ) = − 48 . Option analysis
Why each option works or fails A · − 24 -24 − 24 Believing that ∣ b ⃗ ∣ 2 = 8 |\vec{\mathrm{b}}|^2 = 8 ∣ b ∣ 2 = 8 (forgetting to square 4 4 4 properly and computing 4 × 2 4 \times 2 4 × 2 or − 3 × 8 = − 24 -3 \times 8 = -24 − 3 × 8 = − 24 ). Compute ∣ b ⃗ ∣ 2 |\vec{\mathrm{b}}|^2 ∣ b ∣ 2 as 4 2 = 16 4^2 = 16 4 2 = 16 , giving − 3 ( 16 ) = − 48 -3(16) = -48 − 3 ( 16 ) = − 48 .
B · − 84 -84 − 84 Attempting to compute b ⃗ ⋅ ( 2 a ⃗ × b ⃗ ) \vec{\mathrm{b}} \cdot (2\vec{\mathrm{a}} \times \vec{\mathrm{b}}) b ⋅ ( 2 a × b ) non-trivially and introducing extraneous cross product magnitude terms involving sin θ \sin\theta sin θ . Recognize that the scalar triple product with a repeated vector b ⃗ ⋅ ( a ⃗ × b ⃗ ) \vec{\mathrm{b}} \cdot (\vec{\mathrm{a}} \times \vec{\mathrm{b}}) b ⋅ ( a × b ) is identically zero.
C · − 48 -48 − 48 None. The cross product a ⃗ × b ⃗ \vec{\mathrm{a}} \times \vec{\mathrm{b}} a × b is orthogonal to b ⃗ \vec{\mathrm{b}} b , so b ⃗ ⋅ ( 2 a ⃗ × b ⃗ ) = 0 \vec{\mathrm{b}} \cdot (2\vec{\mathrm{a}} \times \vec{\mathrm{b}}) = 0 b ⋅ ( 2 a × b ) = 0 , leaving − 3 ( b ⃗ ⋅ b ⃗ ) = − 3 ( 16 ) = − 48 -3(\vec{\mathrm{b}} \cdot \vec{\mathrm{b}}) = -3(16) = -48 − 3 ( b ⋅ b ) = − 3 ( 16 ) = − 48 . None. This is the correct value.
D · − 60 -60 − 60 Mistakenly adding or subtracting extraneous multiples of a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 or using an incorrect expansion for the dot product. Distribute the dot product linearly: b ⃗ ⋅ ( 2 a ⃗ × b ⃗ ) − 3 b ⃗ ⋅ b ⃗ = 0 − 3 ∣ b ⃗ ∣ 2 \vec{\mathrm{b}} \cdot (2\vec{\mathrm{a}} \times \vec{\mathrm{b}}) - 3\vec{\mathrm{b}} \cdot \vec{\mathrm{b}} = 0 - 3|\vec{\mathrm{b}}|^2 b ⋅ ( 2 a × b ) − 3 b ⋅ b = 0 − 3∣ b ∣ 2 .
Step Working
01 given ∣ a ⃗ ∣ = 1 |\vec{\mathrm{a}}| = 1 ∣ a ∣ = 1 , ∣ b ⃗ ∣ = 4 |\vec{\mathrm{b}}| = 4 ∣ b ∣ = 4 , a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 , and c ⃗ = 2 ( a ⃗ × b ⃗ ) − 3 b ⃗ \vec{\mathrm{c}} = 2(\vec{\mathrm{a}} \times \vec{\mathrm{b}}) - 3\vec{\mathrm{b}} c = 2 ( a × b ) − 3 b .
02 goal Find the value of the scalar product b ⃗ ⋅ c ⃗ \vec{\mathrm{b}} \cdot \vec{\mathrm{c}} b ⋅ c .
03 approach Take the dot product of b ⃗ \vec{\mathrm{b}} b with c ⃗ \vec{\mathrm{c}} c by distributing across the linear combination: b ⃗ ⋅ c ⃗ = 2 ( a ⃗ × b ⃗ ) ⋅ b ⃗ − 3 ( b ⃗ ⋅ b ⃗ ) \vec{\mathrm{b}} \cdot \vec{\mathrm{c}} = 2(\vec{\mathrm{a}} \times \vec{\mathrm{b}}) \cdot \vec{\mathrm{b}} - 3(\vec{\mathrm{b}} \cdot \vec{\mathrm{b}}) b ⋅ c = 2 ( a × b ) ⋅ b − 3 ( b ⋅ b ) . Note that ( a ⃗ × b ⃗ ) ⋅ b ⃗ = 0 (\vec{\mathrm{a}} \times \vec{\mathrm{b}}) \cdot \vec{\mathrm{b}} = 0 ( a × b ) ⋅ b = 0 because the cross product is orthogonal to both constituent vectors.
04 execute Compute b ⃗ ⋅ c ⃗ = 0 − 3 ∣ b ⃗ ∣ 2 = − 3 ( 4 2 ) = − 48 \vec{\mathrm{b}} \cdot \vec{\mathrm{c}} = 0 - 3|\vec{\mathrm{b}}|^2 = -3(4^2) = -48 b ⋅ c = 0 − 3∣ b ∣ 2 = − 3 ( 4 2 ) = − 48 .
✓ verify Check that the extra information ∣ a ⃗ ∣ = 1 |\vec{\mathrm{a}}| = 1 ∣ a ∣ = 1 and a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 is redundant distractor data for this specific dot product, which confirms the computation depends only on ∣ b ⃗ ∣ |\vec{\mathrm{b}}| ∣ b ∣ .
Your next move We think you should solve this next Same idea, new question If the four points, whose position vectors are… Solve → Same idea, new question Let : a ⃗ = i ^ + 2 j ^ + 3 k ^ , b ⃗ = i ^ − j ^ + 2 k ^ \vec{a} = \hat{i} + 2\hat{j} + 3\hat{k}, \vec{b} = \hat{i} - \hat{j} + 2\hat{k} a = i ^ + 2 j ^ + 3 k ^ , b = i ^ − j ^ + 2 k ^ a… Solve → Same idea, new question 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… Solve → ✓ 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 was the value of a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 and ∣ a ⃗ ∣ = 1 |\vec{\mathrm{a}}| = 1 ∣ a ∣ = 1 given if we never used it? The examiner provided extraneous parameters as deliberate distractors to make candidates spend time trying to compute the cross product or angle between vectors.
Answer Taking the dot product of b ⃗ \vec{\mathrm{b}} b with c ⃗ \vec{\mathrm{c}} c eliminates the cross product term because b ⃗ ⋅ ( a ⃗ × b ⃗ ) = 0 \vec{\mathrm{b}} \cdot (\vec{\mathrm{a}} \times \vec{\mathrm{b}}) = 0 b ⋅ ( a × b ) = 0 , leaving − 3 ∣ b ⃗ ∣ 2 = − 3 ( 16 ) = − 48 -3|\vec{\mathrm{b}}|^2 = -3(16) = -48 − 3∣ b ∣ 2 = − 3 ( 16 ) = − 48 .
Why each option works or fails A: − 24 -24 − 24 - Believing that ∣ b ⃗ ∣ 2 = 8 |\vec{\mathrm{b}}|^2 = 8 ∣ b ∣ 2 = 8 (forgetting to square 4 4 4 properly and computing 4 × 2 4 \times 2 4 × 2 or − 3 × 8 = − 24 -3 \times 8 = -24 − 3 × 8 = − 24 ). Compute ∣ b ⃗ ∣ 2 |\vec{\mathrm{b}}|^2 ∣ b ∣ 2 as 4 2 = 16 4^2 = 16 4 2 = 16 , giving − 3 ( 16 ) = − 48 -3(16) = -48 − 3 ( 16 ) = − 48 . B: − 84 -84 − 84 - Attempting to compute b ⃗ ⋅ ( 2 a ⃗ × b ⃗ ) \vec{\mathrm{b}} \cdot (2\vec{\mathrm{a}} \times \vec{\mathrm{b}}) b ⋅ ( 2 a × b ) non-trivially and introducing extraneous cross product magnitude terms involving sin θ \sin\theta sin θ . Recognize that the scalar triple product with a repeated vector b ⃗ ⋅ ( a ⃗ × b ⃗ ) \vec{\mathrm{b}} \cdot (\vec{\mathrm{a}} \times \vec{\mathrm{b}}) b ⋅ ( a × b ) is identically zero. C · correct: − 48 -48 − 48 - None. The cross product a ⃗ × b ⃗ \vec{\mathrm{a}} \times \vec{\mathrm{b}} a × b is orthogonal to b ⃗ \vec{\mathrm{b}} b , so b ⃗ ⋅ ( 2 a ⃗ × b ⃗ ) = 0 \vec{\mathrm{b}} \cdot (2\vec{\mathrm{a}} \times \vec{\mathrm{b}}) = 0 b ⋅ ( 2 a × b ) = 0 , leaving − 3 ( b ⃗ ⋅ b ⃗ ) = − 3 ( 16 ) = − 48 -3(\vec{\mathrm{b}} \cdot \vec{\mathrm{b}}) = -3(16) = -48 − 3 ( b ⋅ b ) = − 3 ( 16 ) = − 48 . None. This is the correct value. D: − 60 -60 − 60 - Mistakenly adding or subtracting extraneous multiples of a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 or using an incorrect expansion for the dot product. Distribute the dot product linearly: b ⃗ ⋅ ( 2 a ⃗ × b ⃗ ) − 3 b ⃗ ⋅ b ⃗ = 0 − 3 ∣ b ⃗ ∣ 2 \vec{\mathrm{b}} \cdot (2\vec{\mathrm{a}} \times \vec{\mathrm{b}}) - 3\vec{\mathrm{b}} \cdot \vec{\mathrm{b}} = 0 - 3|\vec{\mathrm{b}}|^2 b ⋅ ( 2 a × b ) − 3 b ⋅ b = 0 − 3∣ b ∣ 2 . Step-by-step solution given: ∣ a ⃗ ∣ = 1 |\vec{\mathrm{a}}| = 1 ∣ a ∣ = 1 , ∣ b ⃗ ∣ = 4 |\vec{\mathrm{b}}| = 4 ∣ b ∣ = 4 , a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 , and c ⃗ = 2 ( a ⃗ × b ⃗ ) − 3 b ⃗ \vec{\mathrm{c}} = 2(\vec{\mathrm{a}} \times \vec{\mathrm{b}}) - 3\vec{\mathrm{b}} c = 2 ( a × b ) − 3 b .goal: Find the value of the scalar product b ⃗ ⋅ c ⃗ \vec{\mathrm{b}} \cdot \vec{\mathrm{c}} b ⋅ c . approach: Take the dot product of b ⃗ \vec{\mathrm{b}} b with c ⃗ \vec{\mathrm{c}} c by distributing across the linear combination: b ⃗ ⋅ c ⃗ = 2 ( a ⃗ × b ⃗ ) ⋅ b ⃗ − 3 ( b ⃗ ⋅ b ⃗ ) \vec{\mathrm{b}} \cdot \vec{\mathrm{c}} = 2(\vec{\mathrm{a}} \times \vec{\mathrm{b}}) \cdot \vec{\mathrm{b}} - 3(\vec{\mathrm{b}} \cdot \vec{\mathrm{b}}) b ⋅ c = 2 ( a × b ) ⋅ b − 3 ( b ⋅ b ) . Note that ( a ⃗ × b ⃗ ) ⋅ b ⃗ = 0 (\vec{\mathrm{a}} \times \vec{\mathrm{b}}) \cdot \vec{\mathrm{b}} = 0 ( a × b ) ⋅ b = 0 because the cross product is orthogonal to both constituent vectors. execute: Compute b ⃗ ⋅ c ⃗ = 0 − 3 ∣ b ⃗ ∣ 2 = − 3 ( 4 2 ) = − 48 \vec{\mathrm{b}} \cdot \vec{\mathrm{c}} = 0 - 3|\vec{\mathrm{b}}|^2 = -3(4^2) = -48 b ⋅ c = 0 − 3∣ b ∣ 2 = − 3 ( 4 2 ) = − 48 . verify: Check that the extra information ∣ a ⃗ ∣ = 1 |\vec{\mathrm{a}}| = 1 ∣ a ∣ = 1 and a ⃗ ⋅ b ⃗ = 2 \vec{\mathrm{a}} \cdot \vec{\mathrm{b}} = 2 a ⋅ b = 2 is redundant distractor data for this specific dot product, which confirms the computation depends only on ∣ b ⃗ ∣ |\vec{\mathrm{b}}| ∣ b ∣ . Shortcut: When to use it: Recognizing immediately that b ⃗ \vec{\mathrm{b}} b is perpendicular to any cross product containing b ⃗ \vec{\mathrm{b}} b .
quick_kill: Since ( a ⃗ × b ⃗ ) ⊥ b ⃗ (\vec{\mathrm{a}} \times \vec{\mathrm{b}}) \perp \vec{\mathrm{b}} ( a × b ) ⊥ b , dotting c ⃗ \vec{\mathrm{c}} c with b ⃗ \vec{\mathrm{b}} b gives directly − 3 ∣ b ⃗ ∣ 2 = − 3 ( 16 ) = − 48 -3|\vec{\mathrm{b}}|^2 = -3(16) = -48 − 3∣ b ∣ 2 = − 3 ( 16 ) = − 48 .