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JEE Main 2024
Vector Algebra
Vector Algebra
Medium

Question

If a,b,c\overrightarrow a ,\overrightarrow b ,\overrightarrow c are three non-zero vectors and n^\widehat n is a unit vector perpendicular to c\overrightarrow c such that a=αbn^,(α0)\overrightarrow a = \alpha \overrightarrow b - \widehat n,(\alpha \ne 0) and b.c=12\overrightarrow b \,.\overrightarrow c = 12, then c×(a×b)\left| {\overrightarrow c \times (\overrightarrow a \times \overrightarrow b )} \right| is equal to :

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Solution

Key Concepts and Formulas

  • Vector Triple Product Identity: For any three vectors x,y,z\vec{x}, \vec{y}, \vec{z}, the vector triple product is given by: x×(y×z)=(xz)y(xy)z\vec{x} \times (\vec{y} \times \vec{z}) = (\vec{x} \cdot \vec{z})\vec{y} - (\vec{x} \cdot \vec{y})\vec{z}
  • Properties of Dot Product:
    • Commutative: uv=vu\vec{u} \cdot \vec{v} = \vec{v} \cdot \vec{u}
    • Distributive: u(v+w)=uv+uw\vec{u} \cdot (\vec{v} + \vec{w}) = \vec{u} \cdot \vec{v} + \vec{u} \cdot \vec{w}
    • Scalar multiplication: u(kv)=k(uv)\vec{u} \cdot (k\vec{v}) = k(\vec{u} \cdot \vec{v})
  • Perpendicular Vectors: If vector u\vec{u} is perpendicular to vector v\vec{v}, then uv=0\vec{u} \cdot \vec{v} = 0.
  • Unit Vector: A unit vector n^\widehat{n} has a magnitude of 1, i.e., n^=1|\widehat{n}| = 1.

Step-by-Step Solution

Step 1: Apply the Vector Triple Product Formula We need to find the magnitude of c×(a×b)\vec{c} \times (\vec{a} \times \vec{b}). We begin by simplifying the vector triple product expression using the identity. Let x=c\vec{x} = \vec{c}, y=a\vec{y} = \vec{a}, and z=b\vec{z} = \vec{b}. c×(a×b)=(cb)a(ca)b\vec{c} \times (\vec{a} \times \vec{b}) = (\vec{c} \cdot \vec{b})\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} Explanation: This formula is essential for resolving the vector triple product into a linear combination of the constituent vectors, making it easier to work with.

Step 2: Substitute Known Dot Product Values We are given that bc=12\vec{b} \cdot \vec{c} = 12. Since the dot product is commutative, cb=12\vec{c} \cdot \vec{b} = 12. Substitute this into the equation from Step 1. c×(a×b)=(12)a(ca)b\vec{c} \times (\vec{a} \times \vec{b}) = (12)\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} c×(a×b)=12a(ca)b\vec{c} \times (\vec{a} \times \vec{b}) = 12\vec{a} - (\vec{c} \cdot \vec{a})\vec{b} Explanation: This step directly incorporates one of the given numerical values, simplifying the first term of the resulting vector expression.

Step 3: Evaluate the Dot Product ca\vec{c} \cdot \vec{a} We are given the relationship a=αbn^\vec{a} = \alpha \vec{b} - \widehat{n}. We can find ca\vec{c} \cdot \vec{a} by taking the dot product of c\vec{c} with this expression for a\vec{a}. ca=c(αbn^)\vec{c} \cdot \vec{a} = \vec{c} \cdot (\alpha \vec{b} - \widehat{n}) Using the distributive and scalar multiplication properties of the dot product: ca=α(cb)(cn^)\vec{c} \cdot \vec{a} = \alpha (\vec{c} \cdot \vec{b}) - (\vec{c} \cdot \widehat{n}) We are given cb=12\vec{c} \cdot \vec{b} = 12. We are also told that n^\widehat{n} is perpendicular to c\vec{c}, which means cn^=0\vec{c} \cdot \widehat{n} = 0. Substituting these values: ca=α(12)0\vec{c} \cdot \vec{a} = \alpha (12) - 0 ca=12α\vec{c} \cdot \vec{a} = 12\alpha Explanation: This step is crucial for finding the coefficient of b\vec{b} in the simplified expression. It leverages the given vector relation and the property that n^\widehat{n} is perpendicular to c\vec{c}.

Step 4: Substitute ca\vec{c} \cdot \vec{a} back into the Expression Now, substitute the value of ca=12α\vec{c} \cdot \vec{a} = 12\alpha back into the equation from Step 2. c×(a×b)=12a(12α)b\vec{c} \times (\vec{a} \times \vec{b}) = 12\vec{a} - (12\alpha)\vec{b} We can factor out 12 from both terms: c×(a×b)=12(aαb)\vec{c} \times (\vec{a} \times \vec{b}) = 12(\vec{a} - \alpha\vec{b}) Explanation: This step consolidates the expression for the vector triple product, bringing us closer to evaluating its magnitude.

Step 5: Use the Given Relationship for a\vec{a} Recall the given relationship: a=αbn^\vec{a} = \alpha \vec{b} - \widehat{n}. Rearranging this equation, we get aαb=n^\vec{a} - \alpha\vec{b} = -\widehat{n}. Substitute this into the expression from Step 4: c×(a×b)=12(n^)\vec{c} \times (\vec{a} \times \vec{b}) = 12(-\widehat{n}) c×(a×b)=12n^\vec{c} \times (\vec{a} \times \vec{b}) = -12\widehat{n} Explanation: By substituting the given relation for a\vec{a}, we express the entire vector triple product in terms of the unit vector n^\widehat{n}.

Step 6: Calculate the Magnitude We need to find the magnitude of the resulting vector: c×(a×b)|\vec{c} \times (\vec{a} \times \vec{b})|. c×(a×b)=12n^\left| \vec{c} \times (\vec{a} \times \vec{b}) \right| = \left| -12\widehat{n} \right| Using the property kv=kv|k\vec{v}| = |k||\vec{v}|: 12n^=12n^\left| -12\widehat{n} \right| = |-12| |\widehat{n}| We know that n^\widehat{n} is a unit vector, so n^=1|\widehat{n}| = 1. 12n^=12×1|-12| |\widehat{n}| = 12 \times 1 c×(a×b)=12\left| \vec{c} \times (\vec{a} \times \vec{b}) \right| = 12 Explanation: The final step involves calculating the magnitude of the vector. Since n^\widehat{n} is a unit vector, its magnitude is 1, which simplifies the calculation significantly.

Common Mistakes & Tips

  • Incorrect Vector Triple Product Formula: Ensure you use the correct formula for the vector triple product. The order of vectors and dot products matters.
  • Misinterpreting Perpendicularity: Remember that if n^\widehat{n} is perpendicular to c\vec{c}, their dot product n^c\widehat{n} \cdot \vec{c} (or cn^\vec{c} \cdot \widehat{n}) is zero.
  • Magnitude of Unit Vector: Always recall that a unit vector has a magnitude of 1. This is a common simplification.

Summary

The problem requires the application of the vector triple product identity to simplify the expression c×(a×b)\vec{c} \times (\vec{a} \times \vec{b}). By systematically substituting the given conditions, particularly the relationship between a\vec{a} and b\vec{b} involving the unit vector n^\widehat{n}, and the values of the dot products, we were able to reduce the expression to a scalar multiple of n^\widehat{n}. The magnitude of this vector was then easily computed using the fact that n^\widehat{n} is a unit vector.

The final answer is \boxed{12}.

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