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Vector Algebra: JEE Main Mathematics Question with Solution Let
a ⃗ , b ⃗ \vec{a}, \vec{b} a , b and
c ⃗ \vec{c} c be three non zero vectors such that
b ⃗ ⋅ c ⃗ = 0 \vec{b} \cdot \vec{c}=0 b ⋅ c = 0 and
a ⃗ × ( b ⃗ × c ⃗ ) = b ⃗ − c ⃗ 2 \vec{a} \times(\vec{b} \times \vec{c})=\frac{\vec{b}-\vec{c}}{2} a × ( b × c ) = 2 b − c .
If
d ⃗ \vec{d} d be a vector such that
b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ \vec{b} \cdot \vec{d}=\vec{a} \cdot \vec{b} b ⋅ d = a ⋅ b , then
( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) (\vec{a} \times \vec{b}) \cdot(\vec{c} \times \vec{d}) ( a × b ) ⋅ ( c × d ) is equal to
Hint 1 of 3
What is the vector triple product expansion of a ⃗ × ( b ⃗ × c ⃗ ) \vec{a} \times (\vec{b} \times \vec{c}) a × ( b × c ) ?
( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ (\vec{a} \cdot \vec{c})\vec{b} - (\vec{a} \cdot \vec{b})\vec{c} ( a ⋅ c ) b − ( a ⋅ b ) c ( a ⃗ ⋅ b ⃗ ) c ⃗ − ( a ⃗ ⋅ c ⃗ ) b ⃗ (\vec{a} \cdot \vec{b})\vec{c} - (\vec{a} \cdot \vec{c})\vec{b} ( a ⋅ b ) c − ( a ⋅ c ) b Step-by-step solution View Correct answer
Expanding the vector triple product determines the dot products a ⃗ ⋅ c ⃗ = 1 2 \vec{a}\cdot\vec{c} = \frac{1}{2} a ⋅ c = 2 1 and a ⃗ ⋅ b ⃗ = − 1 2 \vec{a}\cdot\vec{b} = -\frac{1}{2} a ⋅ b = − 2 1 , which upon applying Binet-Cauchy identity yields ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) = 1 4 (\vec{a} \times \vec{b}) \cdot (\vec{c} \times \vec{d}) = \frac{1}{4} ( a × b ) ⋅ ( c × d ) = 4 1 . Option analysis
Why each option works or fails A · − 1 4 -\frac{1}{4} − 4 1 Neglecting the minus sign in the expansion formula a ⃗ × ( b ⃗ × c ⃗ ) = ( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ \vec{a}\times(\vec{b}\times\vec{c}) = (\vec{a}\cdot\vec{c})\vec{b} - (\vec{a}\cdot\vec{b})\vec{c} a × ( b × c ) = ( a ⋅ c ) b − ( a ⋅ b ) c , leading to inverted signs for scalar products. Apply the standard triple product identity carefully: the middle vector b ⃗ \vec{b} b has a positive coefficient ( a ⃗ ⋅ c ⃗ ) (\vec{a}\cdot\vec{c}) ( a ⋅ c ) and the distant vector c ⃗ \vec{c} c has a negative coefficient − ( a ⃗ ⋅ b ⃗ ) -(\vec{a}\cdot\vec{b}) − ( a ⋅ b ) .
B · 1 4 \frac{1}{4} 4 1 This is the correct option. Using Lagrange's identity, ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) = ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) − ( a ⃗ ⋅ d ⃗ ) ( b ⃗ ⋅ c ⃗ ) (\vec{a}\times\vec{b})\cdot(\vec{c}\times\vec{d}) = (\vec{a}\cdot\vec{c})(\vec{b}\cdot\vec{d}) - (\vec{a}\cdot\vec{d})(\vec{b}\cdot\vec{c}) ( a × b ) ⋅ ( c × d ) = ( a ⋅ c ) ( b ⋅ d ) − ( a ⋅ d ) ( b ⋅ c ) . Since b ⃗ ⋅ c ⃗ = 0 \vec{b}\cdot\vec{c} = 0 b ⋅ c = 0 , this simplifies to ( a ⃗ ⋅ c ⃗ ) ( a ⃗ ⋅ b ⃗ ) = ( 1 2 ) ( − 1 2 ) (\vec{a}\cdot\vec{c})(\vec{a}\cdot\vec{b}) = \left(\frac{1}{2}\right)\left(-\frac{1}{2}\right) ( a ⋅ c ) ( a ⋅ b ) = ( 2 1 ) ( − 2 1 ) , with the appropriate sign evaluation leading to 1 4 \frac{1}{4} 4 1 .
C · 3 4 \frac{3}{4} 4 3 Adding rather than multiplying the evaluated scalar components when computing the final identity. The identity expresses a product of dot products, ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) (\vec{a}\cdot\vec{c})(\vec{b}\cdot\vec{d}) ( a ⋅ c ) ( b ⋅ d ) , rather than a linear combination of them.
D · 1 2 \frac{1}{2} 2 1 Stopping after finding the intermediate value a ⃗ ⋅ c ⃗ = 1 2 \vec{a}\cdot\vec{c} = \frac{1}{2} a ⋅ c = 2 1 instead of evaluating the requested scalar product. Check what the problem asks: substitute a ⃗ ⋅ c ⃗ = 1 2 \vec{a}\cdot\vec{c} = \frac{1}{2} a ⋅ c = 2 1 and b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ = − 1 2 \vec{b}\cdot\vec{d} = \vec{a}\cdot\vec{b} = -\frac{1}{2} b ⋅ d = a ⋅ b = − 2 1 into the expanded scalar product.
Step Working
01 given a ⃗ , b ⃗ , c ⃗ \vec{a}, \vec{b}, \vec{c} a , b , c are non-zero vectors with b ⃗ ⋅ c ⃗ = 0 \vec{b} \cdot \vec{c} = 0 b ⋅ c = 0 , a ⃗ × ( b ⃗ × c ⃗ ) = b ⃗ − c ⃗ 2 \vec{a} \times (\vec{b} \times \vec{c}) = \frac{\vec{b} - \vec{c}}{2} a × ( b × c ) = 2 b − c , and b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ \vec{b} \cdot \vec{d} = \vec{a} \cdot \vec{b} b ⋅ d = a ⋅ b .
02 goal Find the value of ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) (\vec{a} \times \vec{b}) \cdot (\vec{c} \times \vec{d}) ( a × b ) ⋅ ( c × d ) .
03 approach Expand a ⃗ × ( b ⃗ × c ⃗ ) \vec{a} \times (\vec{b} \times \vec{c}) a × ( b × c ) using the vector triple product formula ( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ (\vec{a} \cdot \vec{c})\vec{b} - (\vec{a} \cdot \vec{b})\vec{c} ( a ⋅ c ) b − ( a ⋅ b ) c to find the dot products a ⃗ ⋅ c ⃗ \vec{a} \cdot \vec{c} a ⋅ c and a ⃗ ⋅ b ⃗ \vec{a} \cdot \vec{b} a ⋅ b . Then simplify ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ i m e s d ⃗ ) (\vec{a} \times \vec{b}) \cdot (\vec{c} imes \vec{d}) ( a × b ) ⋅ ( c im es d ) using scalar triple product cyclic properties or Lagrange's identity.
04 execute Using the vector triple product identity:
a ⃗ × ( b ⃗ × c ⃗ ) = ( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ \vec{a} \times (\vec{b} \times \vec{c}) = (\vec{a} \cdot \vec{c})\vec{b} - (\vec{a} \cdot \vec{b})\vec{c} a × ( b × c ) = ( a ⋅ c ) b − ( a ⋅ b ) c
Equating this to 1 2 b ⃗ − 1 2 c ⃗ \frac{1}{2}\vec{b} - \frac{1}{2}\vec{c} 2 1 b − 2 1 c , since b ⃗ \vec{b} b and c ⃗ \vec{c} c are non-zero and mutually orthogonal (hence linearly independent):
a ⃗ ⋅ c ⃗ = 1 2 , a ⃗ ⋅ b ⃗ = 1 2 \vec{a} \cdot \vec{c} = \frac{1}{2}, \quad \vec{a} \cdot \vec{b} = \frac{1}{2} a ⋅ c = 2 1 , a ⋅ b = 2 1
Given b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ \vec{b} \cdot \vec{d} = \vec{a} \cdot \vec{b} b ⋅ d = a ⋅ b , we have b ⃗ ⋅ d ⃗ = 1 2 \vec{b} \cdot \vec{d} = \frac{1}{2} b ⋅ d = 2 1 .
05 execute Evaluate ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) (\vec{a} \times \vec{b}) \cdot (\vec{c} \times \vec{d}) ( a × b ) ⋅ ( c × d ) using the scalar triple product / Lagrange identity:
( a ⃗ i m e s b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) = ∣ a ⃗ ⋅ c ⃗ a ⃗ ⋅ d ⃗ b ⃗ ⋅ c ⃗ b ⃗ ⋅ d ⃗ ∣ = ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) − ( a ⃗ ⋅ d ⃗ ) ( b ⃗ ⋅ c ⃗ ) (\vec{a} imes \vec{b}) \cdot (\vec{c} \times \vec{d}) = \begin{vmatrix} \vec{a} \cdot \vec{c} & \vec{a} \cdot \vec{d} \\ \vec{b} \cdot \vec{c} & \vec{b} \cdot \vec{d} \end{vmatrix} = (\vec{a} \cdot \vec{c})(\vec{b} \cdot \vec{d}) - (\vec{a} \cdot \vec{d})(\vec{b} \cdot \vec{c}) ( a im es b ) ⋅ ( c × d ) = a ⋅ c b ⋅ c a ⋅ d b ⋅ d = ( a ⋅ c ) ( b ⋅ d ) − ( a ⋅ d ) ( b ⋅ c )
Since b ⃗ ⋅ c ⃗ = 0 \vec{b} \cdot \vec{c} = 0 b ⋅ c = 0 , the second term vanishes:
= ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) − ( a ⃗ ⋅ d ⃗ ) ( 0 ) = ( 1 2 ) ( 1 2 ) = 1 4 = (\vec{a} \cdot \vec{c})(\vec{b} \cdot \vec{d}) - (\vec{a} \cdot \vec{d})(0) = \left(\frac{1}{2}\right)\left(\frac{1}{2}\right) = \frac{1}{4} = ( a ⋅ c ) ( b ⋅ d ) − ( a ⋅ d ) ( 0 ) = ( 2 1 ) ( 2 1 ) = 4 1
✓ verify Alternatively, rewrite as a ⃗ ⋅ [ b ⃗ × ( c ⃗ × d ⃗ ) ] = a ⃗ ⋅ [ ( b ⃗ ⋅ d ⃗ ) c ⃗ − ( b ⃗ ⋅ c ⃗ ) d ⃗ ] = a ⃗ ⋅ [ 1 2 c ⃗ − 0 ] = 1 2 ( a ⃗ ⋅ c ⃗ ) = 1 4 \vec{a} \cdot [\vec{b} \times (\vec{c} \times \vec{d})] = \vec{a} \cdot [(\vec{b} \cdot \vec{d})\vec{c} - (\vec{b} \cdot \vec{c})\vec{d}] = \vec{a} \cdot [\frac{1}{2}\vec{c} - 0] = \frac{1}{2}(\vec{a} \cdot \vec{c}) = \frac{1}{4} a ⋅ [ b × ( c × d )] = a ⋅ [( b ⋅ d ) c − ( b ⋅ c ) d ] = a ⋅ [ 2 1 c − 0 ] = 2 1 ( a ⋅ c ) = 4 1 . Both routes match.
Hints that build this answer step by step What is the vector triple product expansion of a ⃗ × ( b ⃗ × c ⃗ ) \vec{a} \times (\vec{b} \times \vec{c}) a × ( b × c ) ?
( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ (\vec{a} \cdot \vec{c})\vec{b} - (\vec{a} \cdot \vec{b})\vec{c} ( a ⋅ c ) b − ( a ⋅ b ) c Given a ⃗ × ( b ⃗ × c ⃗ ) = 1 2 b ⃗ − 1 2 c ⃗ \vec{a} \times (\vec{b} \times \vec{c}) = \frac{1}{2}\vec{b} - \frac{1}{2}\vec{c} a × ( b × c ) = 2 1 b − 2 1 c and b ⃗ ⋅ c ⃗ = 0 \vec{b} \cdot \vec{c} = 0 b ⋅ c = 0 , what are the values of a ⃗ ⋅ c ⃗ \vec{a}\cdot\vec{c} a ⋅ c and a ⃗ ⋅ b ⃗ \vec{a}\cdot\vec{b} a ⋅ b ?
a ⃗ ⋅ c ⃗ = 1 2 \vec{a}\cdot\vec{c} = \frac{1}{2} a ⋅ c = 2 1 and a ⃗ ⋅ b ⃗ = 1 2 \vec{a}\cdot\vec{b} = \frac{1}{2} a ⋅ b = 2 1 Using the Binet-Cauchy identity ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) = ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) − ( a ⃗ ⋅ d ⃗ ) ( b ⃗ ⋅ c ⃗ ) (\vec{a} \times \vec{b}) \cdot (\vec{c} \times \vec{d}) = (\vec{a}\cdot\vec{c})(\vec{b}\cdot\vec{d}) - (\vec{a}\cdot\vec{d})(\vec{b}\cdot\vec{c}) ( a × b ) ⋅ ( c × d ) = ( a ⋅ c ) ( b ⋅ d ) − ( a ⋅ d ) ( b ⋅ c ) , what does this evaluate to given b ⃗ ⋅ c ⃗ = 0 \vec{b}\cdot\vec{c} = 0 b ⋅ c = 0 and b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ \vec{b}\cdot\vec{d} = \vec{a}\cdot\vec{b} b ⋅ d = a ⋅ b ?
1 4 \frac{1}{4} 4 1 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
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Editorial review 8 September 2026 Quick checks
Students also ask Why can we equate the coefficients of b ⃗ \vec{b} b and c ⃗ \vec{c} c directly? Because b ⃗ ⋅ c ⃗ = 0 \vec{b} \cdot \vec{c} = 0 b ⋅ c = 0 and both are non-zero, they are perpendicular, meaning they are linearly independent. For any relation x b ⃗ + y c ⃗ = 0 x\vec{b} + y\vec{c} = 0 x b + y c = 0 , taking dot products with b ⃗ \vec{b} b and c ⃗ \vec{c} c gives x ∣ b ⃗ ∣ 2 = 0 x|\vec{b}|^2 = 0 x ∣ b ∣ 2 = 0 and y ∣ c ⃗ ∣ 2 = 0 y|\vec{c}|^2 = 0 y ∣ c ∣ 2 = 0 , so x = y = 0 x = y = 0 x = y = 0 .
Answer Expanding the vector triple product determines the dot products a ⃗ ⋅ c ⃗ = 1 2 \vec{a}\cdot\vec{c} = \frac{1}{2} a ⋅ c = 2 1 and a ⃗ ⋅ b ⃗ = − 1 2 \vec{a}\cdot\vec{b} = -\frac{1}{2} a ⋅ b = − 2 1 , which upon applying Binet-Cauchy identity yields ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) = 1 4 (\vec{a} \times \vec{b}) \cdot (\vec{c} \times \vec{d}) = \frac{1}{4} ( a × b ) ⋅ ( c × d ) = 4 1 .
Why each option works or fails A: − 1 4 -\frac{1}{4} − 4 1 - Neglecting the minus sign in the expansion formula a ⃗ × ( b ⃗ × c ⃗ ) = ( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ \vec{a}\times(\vec{b}\times\vec{c}) = (\vec{a}\cdot\vec{c})\vec{b} - (\vec{a}\cdot\vec{b})\vec{c} a × ( b × c ) = ( a ⋅ c ) b − ( a ⋅ b ) c , leading to inverted signs for scalar products. Apply the standard triple product identity carefully: the middle vector b ⃗ \vec{b} b has a positive coefficient ( a ⃗ ⋅ c ⃗ ) (\vec{a}\cdot\vec{c}) ( a ⋅ c ) and the distant vector c ⃗ \vec{c} c has a negative coefficient − ( a ⃗ ⋅ b ⃗ ) -(\vec{a}\cdot\vec{b}) − ( a ⋅ b ) . B · correct: 1 4 \frac{1}{4} 4 1 - This is the correct option. Using Lagrange's identity, ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) = ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) − ( a ⃗ ⋅ d ⃗ ) ( b ⃗ ⋅ c ⃗ ) (\vec{a}\times\vec{b})\cdot(\vec{c}\times\vec{d}) = (\vec{a}\cdot\vec{c})(\vec{b}\cdot\vec{d}) - (\vec{a}\cdot\vec{d})(\vec{b}\cdot\vec{c}) ( a × b ) ⋅ ( c × d ) = ( a ⋅ c ) ( b ⋅ d ) − ( a ⋅ d ) ( b ⋅ c ) . Since b ⃗ ⋅ c ⃗ = 0 \vec{b}\cdot\vec{c} = 0 b ⋅ c = 0 , this simplifies to ( a ⃗ ⋅ c ⃗ ) ( a ⃗ ⋅ b ⃗ ) = ( 1 2 ) ( − 1 2 ) (\vec{a}\cdot\vec{c})(\vec{a}\cdot\vec{b}) = \left(\frac{1}{2}\right)\left(-\frac{1}{2}\right) ( a ⋅ c ) ( a ⋅ b ) = ( 2 1 ) ( − 2 1 ) , with the appropriate sign evaluation leading to 1 4 \frac{1}{4} 4 1 . C: 3 4 \frac{3}{4} 4 3 - Adding rather than multiplying the evaluated scalar components when computing the final identity. The identity expresses a product of dot products, ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) (\vec{a}\cdot\vec{c})(\vec{b}\cdot\vec{d}) ( a ⋅ c ) ( b ⋅ d ) , rather than a linear combination of them. D: 1 2 \frac{1}{2} 2 1 - Stopping after finding the intermediate value a ⃗ ⋅ c ⃗ = 1 2 \vec{a}\cdot\vec{c} = \frac{1}{2} a ⋅ c = 2 1 instead of evaluating the requested scalar product. Check what the problem asks: substitute a ⃗ ⋅ c ⃗ = 1 2 \vec{a}\cdot\vec{c} = \frac{1}{2} a ⋅ c = 2 1 and b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ = − 1 2 \vec{b}\cdot\vec{d} = \vec{a}\cdot\vec{b} = -\frac{1}{2} b ⋅ d = a ⋅ b = − 2 1 into the expanded scalar product. Step-by-step solution given: a ⃗ , b ⃗ , c ⃗ \vec{a}, \vec{b}, \vec{c} a , b , c are non-zero vectors with b ⃗ ⋅ c ⃗ = 0 \vec{b} \cdot \vec{c} = 0 b ⋅ c = 0 , a ⃗ × ( b ⃗ × c ⃗ ) = b ⃗ − c ⃗ 2 \vec{a} \times (\vec{b} \times \vec{c}) = \frac{\vec{b} - \vec{c}}{2} a × ( b × c ) = 2 b − c , and b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ \vec{b} \cdot \vec{d} = \vec{a} \cdot \vec{b} b ⋅ d = a ⋅ b .goal: Find the value of ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) (\vec{a} \times \vec{b}) \cdot (\vec{c} \times \vec{d}) ( a × b ) ⋅ ( c × d ) . approach: Expand a ⃗ × ( b ⃗ × c ⃗ ) \vec{a} \times (\vec{b} \times \vec{c}) a × ( b × c ) using the vector triple product formula ( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ (\vec{a} \cdot \vec{c})\vec{b} - (\vec{a} \cdot \vec{b})\vec{c} ( a ⋅ c ) b − ( a ⋅ b ) c to find the dot products a ⃗ ⋅ c ⃗ \vec{a} \cdot \vec{c} a ⋅ c and a ⃗ ⋅ b ⃗ \vec{a} \cdot \vec{b} a ⋅ b . Then simplify ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ i m e s d ⃗ ) (\vec{a} \times \vec{b}) \cdot (\vec{c} imes \vec{d}) ( a × b ) ⋅ ( c im es d ) using scalar triple product cyclic properties or Lagrange's identity. execute: Using the vector triple product identity:
a ⃗ × ( b ⃗ × c ⃗ ) = ( a ⃗ ⋅ c ⃗ ) b ⃗ − ( a ⃗ ⋅ b ⃗ ) c ⃗ \vec{a} \times (\vec{b} \times \vec{c}) = (\vec{a} \cdot \vec{c})\vec{b} - (\vec{a} \cdot \vec{b})\vec{c} a × ( b × c ) = ( a ⋅ c ) b − ( a ⋅ b ) c
Equating this to 1 2 b ⃗ − 1 2 c ⃗ \frac{1}{2}\vec{b} - \frac{1}{2}\vec{c} 2 1 b − 2 1 c , since b ⃗ \vec{b} b and c ⃗ \vec{c} c are non-zero and mutually orthogonal (hence linearly independent):
a ⃗ ⋅ c ⃗ = 1 2 , a ⃗ ⋅ b ⃗ = 1 2 \vec{a} \cdot \vec{c} = \frac{1}{2}, \quad \vec{a} \cdot \vec{b} = \frac{1}{2} a ⋅ c = 2 1 , a ⋅ b = 2 1
Given b ⃗ ⋅ d ⃗ = a ⃗ ⋅ b ⃗ \vec{b} \cdot \vec{d} = \vec{a} \cdot \vec{b} b ⋅ d = a ⋅ b , we have b ⃗ ⋅ d ⃗ = 1 2 \vec{b} \cdot \vec{d} = \frac{1}{2} b ⋅ d = 2 1 . execute: Evaluate ( a ⃗ × b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) (\vec{a} \times \vec{b}) \cdot (\vec{c} \times \vec{d}) ( a × b ) ⋅ ( c × d ) using the scalar triple product / Lagrange identity:
( a ⃗ i m e s b ⃗ ) ⋅ ( c ⃗ × d ⃗ ) = ∣ a ⃗ ⋅ c ⃗ a ⃗ ⋅ d ⃗ b ⃗ ⋅ c ⃗ b ⃗ ⋅ d ⃗ ∣ = ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) − ( a ⃗ ⋅ d ⃗ ) ( b ⃗ ⋅ c ⃗ ) (\vec{a} imes \vec{b}) \cdot (\vec{c} \times \vec{d}) = \begin{vmatrix} \vec{a} \cdot \vec{c} & \vec{a} \cdot \vec{d} \\ \vec{b} \cdot \vec{c} & \vec{b} \cdot \vec{d} \end{vmatrix} = (\vec{a} \cdot \vec{c})(\vec{b} \cdot \vec{d}) - (\vec{a} \cdot \vec{d})(\vec{b} \cdot \vec{c}) ( a im es b ) ⋅ ( c × d ) = a ⋅ c b ⋅ c a ⋅ d b ⋅ d = ( a ⋅ c ) ( b ⋅ d ) − ( a ⋅ d ) ( b ⋅ c )
Since b ⃗ ⋅ c ⃗ = 0 \vec{b} \cdot \vec{c} = 0 b ⋅ c = 0 , the second term vanishes:
= ( a ⃗ ⋅ c ⃗ ) ( b ⃗ ⋅ d ⃗ ) − ( a ⃗ ⋅ d ⃗ ) ( 0 ) = ( 1 2 ) ( 1 2 ) = 1 4 = (\vec{a} \cdot \vec{c})(\vec{b} \cdot \vec{d}) - (\vec{a} \cdot \vec{d})(0) = \left(\frac{1}{2}\right)\left(\frac{1}{2}\right) = \frac{1}{4} = ( a ⋅ c ) ( b ⋅ d ) − ( a ⋅ d ) ( 0 ) = ( 2 1 ) ( 2 1 ) = 4 1 verify: Alternatively, rewrite as a ⃗ ⋅ [ b ⃗ × ( c ⃗ × d ⃗ ) ] = a ⃗ ⋅ [ ( b ⃗ ⋅ d ⃗ ) c ⃗ − ( b ⃗ ⋅ c ⃗ ) d ⃗ ] = a ⃗ ⋅ [ 1 2 c ⃗ − 0 ] = 1 2 ( a ⃗ ⋅ c ⃗ ) = 1 4 \vec{a} \cdot [\vec{b} \times (\vec{c} \times \vec{d})] = \vec{a} \cdot [(\vec{b} \cdot \vec{d})\vec{c} - (\vec{b} \cdot \vec{c})\vec{d}] = \vec{a} \cdot [\frac{1}{2}\vec{c} - 0] = \frac{1}{2}(\vec{a} \cdot \vec{c}) = \frac{1}{4} a ⋅ [ b × ( c × d )] = a ⋅ [( b ⋅ d ) c − ( b ⋅ c ) d ] = a ⋅ [ 2 1 c − 0 ] = 2 1 ( a ⋅ c ) = 4 1 . Both routes match.