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JEE Main 2023
Vector Algebra
Vector Algebra
Hard

Question

Let a=a1i^+a2j^+a3k^\overrightarrow{\mathrm{a}}=\mathrm{a}_1 \hat{i}+\mathrm{a}_2 \hat{j}+\mathrm{a}_3 \hat{k} and b=b1i^+b2j^+b3k^\overrightarrow{\mathrm{b}}=\mathrm{b}_1 \hat{i}+\mathrm{b}_2 \hat{j}+\mathrm{b}_3 \hat{k} be two vectors such that a=1,ab=2|\overrightarrow{\mathrm{a}}|=1, \vec{a} \cdot \vec{b}=2 and b=4|\vec{b}|=4. If c=2(a×b)3b\vec{c}=2(\vec{a} \times \vec{b})-3 \vec{b}, then the angle between b\vec{b} and c\vec{c} is equal to:

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Solution

Key Concepts and Formulas

  • The angle θ\theta between two non-zero vectors x\vec{x} and y\vec{y} is given by cosθ=xyxy\cos \theta = \frac{\vec{x} \cdot \vec{y}}{|\vec{x}| |\vec{y}|}.
  • The scalar triple product a(b×c)\vec{a} \cdot (\vec{b} \times \vec{c}) is zero if any two of the vectors are identical or parallel.
  • The dot product of a vector with itself is the square of its magnitude: vv=v2\vec{v} \cdot \vec{v} = |\vec{v}|^2.
  • Lagrange's Identity: a×b2=a2b2(ab)2|\vec{a} \times \vec{b}|^2 = |\vec{a}|^2 |\vec{b}|^2 - (\vec{a} \cdot \vec{b})^2.

Step-by-Step Solution

We are given vectors a\vec{a} and b\vec{b} with a=1|\vec{a}|=1, b=4|\vec{b}|=4, and ab=2\vec{a} \cdot \vec{b}=2. We are also given c=2(a×b)3b\vec{c}=2(\vec{a} \times \vec{b})-3 \vec{b}. We need to find the angle between b\vec{b} and c\vec{c}.

Step 1: Calculate the dot product bc\vec{b} \cdot \vec{c}

To find the angle between b\vec{b} and c\vec{c}, we first need to compute their dot product: bc=b(2(a×b)3b)\vec{b} \cdot \vec{c} = \vec{b} \cdot (2(\vec{a} \times \vec{b})-3 \vec{b}) Using the distributive property of the dot product: bc=2[b(a×b)]3(bb)\vec{b} \cdot \vec{c} = 2[\vec{b} \cdot (\vec{a} \times \vec{b})] - 3(\vec{b} \cdot \vec{b}) The term b(a×b)\vec{b} \cdot (\vec{a} \times \vec{b}) is a scalar triple product where the vector b\vec{b} is repeated. A key property of the scalar triple product is that it is zero if any two vectors are identical or parallel. Thus, b(a×b)=0\vec{b} \cdot (\vec{a} \times \vec{b}) = 0. The term bb\vec{b} \cdot \vec{b} is the dot product of a vector with itself, which equals the square of its magnitude: bb=b2\vec{b} \cdot \vec{b} = |\vec{b}|^2. We are given b=4|\vec{b}|=4, so b2=42=16|\vec{b}|^2 = 4^2 = 16. Substituting these values back: bc=2(0)3(16)\vec{b} \cdot \vec{c} = 2(0) - 3(16) bc=48\vec{b} \cdot \vec{c} = -48

Step 2: Calculate the magnitude of c\vec{c}, i.e., c|\vec{c}|

We will find c2|\vec{c}|^2 first, using c2=cc|\vec{c}|^2 = \vec{c} \cdot \vec{c}. c2=(2(a×b)3b)(2(a×b)3b)|\vec{c}|^2 = (2(\vec{a} \times \vec{b})-3 \vec{b}) \cdot (2(\vec{a} \times \vec{b})-3 \vec{b}) Expanding this expression: c2=(2(a×b))(2(a×b))2[(2(a×b))(3b)]+(3b)(3b)|\vec{c}|^2 = (2(\vec{a} \times \vec{b})) \cdot (2(\vec{a} \times \vec{b})) - 2[(2(\vec{a} \times \vec{b})) \cdot (3 \vec{b})] + (3 \vec{b}) \cdot (3 \vec{b}) c2=4a×b212[(a×b)b]+9b2|\vec{c}|^2 = 4|\vec{a} \times \vec{b}|^2 - 12[(\vec{a} \times \vec{b}) \cdot \vec{b}] + 9|\vec{b}|^2 As established in Step 1, the term (a×b)b(\vec{a} \times \vec{b}) \cdot \vec{b} is a scalar triple product with a repeated vector, so it is zero. c2=4a×b212(0)+9b2|\vec{c}|^2 = 4|\vec{a} \times \vec{b}|^2 - 12(0) + 9|\vec{b}|^2 c2=4a×b2+9b2|\vec{c}|^2 = 4|\vec{a} \times \vec{b}|^2 + 9|\vec{b}|^2 Now we need to find a×b2|\vec{a} \times \vec{b}|^2. We use Lagrange's Identity: a×b2=a2b2(ab)2|\vec{a} \times \vec{b}|^2 = |\vec{a}|^2 |\vec{b}|^2 - (\vec{a} \cdot \vec{b})^2. Substituting the given values a=1|\vec{a}|=1, b=4|\vec{b}|=4, and ab=2\vec{a} \cdot \vec{b}=2: a×b2=(1)2(4)2(2)2|\vec{a} \times \vec{b}|^2 = (1)^2 (4)^2 - (2)^2 a×b2=1×164|\vec{a} \times \vec{b}|^2 = 1 \times 16 - 4 a×b2=164=12|\vec{a} \times \vec{b}|^2 = 16 - 4 = 12 Now substitute this and b2=16|\vec{b}|^2 = 16 back into the expression for c2|\vec{c}|^2: c2=4(12)+9(16)|\vec{c}|^2 = 4(12) + 9(16) c2=48+144|\vec{c}|^2 = 48 + 144 c2=192|\vec{c}|^2 = 192 Taking the square root to find c|\vec{c}|: c=192=64×3=83|\vec{c}| = \sqrt{192} = \sqrt{64 \times 3} = 8\sqrt{3}

Step 3: Determine the angle θ\theta between b\vec{b} and c\vec{c}

Using the formula for the angle between two vectors: cosθ=bcbc\cos \theta = \frac{\vec{b} \cdot \vec{c}}{|\vec{b}| |\vec{c}|} Substitute the calculated values: bc=48\vec{b} \cdot \vec{c} = -48, b=4|\vec{b}|=4, and c=83|\vec{c}|=8\sqrt{3}: cosθ=48(4)(83)\cos \theta = \frac{-48}{(4)(8\sqrt{3})} cosθ=48323\cos \theta = \frac{-48}{32\sqrt{3}} Simplify the fraction: cosθ=323\cos \theta = \frac{-3}{2\sqrt{3}} To rationalize the denominator, multiply the numerator and denominator by 3\sqrt{3}: cosθ=33233=3323=336\cos \theta = \frac{-3\sqrt{3}}{2\sqrt{3} \cdot \sqrt{3}} = \frac{-3\sqrt{3}}{2 \cdot 3} = \frac{-3\sqrt{3}}{6} cosθ=32\cos \theta = -\frac{\sqrt{3}}{2} Therefore, the angle θ\theta is: θ=cos1(32)\theta = \cos^{-1}\left(-\frac{\sqrt{3}}{2}\right)

Common Mistakes & Tips

  • Scalar Triple Product: Always remember that if a scalar triple product involves a repeated vector, its value is zero. This is a critical shortcut.
  • Lagrange's Identity: This identity is essential for problems involving the magnitude of a cross product when dot products and individual magnitudes are known.
  • Algebraic Simplification: Pay close attention to signs and simplifying radicals. Rationalizing the denominator is standard practice.

Summary

We calculated the dot product bc\vec{b} \cdot \vec{c} by utilizing the distributive property of the dot product and the property of the scalar triple product. We then found the magnitude of c\vec{c} by first calculating c2|\vec{c}|^2 and employing Lagrange's identity to find a×b2|\vec{a} \times \vec{b}|^2. Finally, we substituted these values into the cosine formula for the angle between two vectors to arrive at the result.

The final answer is (D)\boxed{\text{(D)}}.

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