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JEE Main 2023
Vector Algebra
Vector Algebra
Hard

Question

Let a=2i^+3j^+4k^,b=i^2j^2k^\vec{a}=2 \hat{i}+3 \hat{j}+4 \hat{k}, \vec{b}=\hat{i}-2 \hat{j}-2 \hat{k} and c=i^+4j^+3k^\vec{c}=-\hat{i}+4 \hat{j}+3 \hat{k}. If d\vec{d} is a vector perpendicular to both b\vec{b} and c\vec{c}, and ad=18\vec{a} \cdot \vec{d}=18, then a×d2|\vec{a} \times \vec{d}|^{2} is equal to :

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Solution

Key Concepts and Formulas

  • Vector Perpendicularity and Cross Product: A vector perpendicular to two given vectors is parallel to their cross product. If d\vec{d} is perpendicular to b\vec{b} and c\vec{c}, then d=λ(b×c)\vec{d} = \lambda(\vec{b} \times \vec{c}) for some scalar λ\lambda.
  • Dot Product: The dot product of two vectors u=u1i^+u2j^+u3k^\vec{u} = u_1\hat{i} + u_2\hat{j} + u_3\hat{k} and v=v1i^+v2j^+v3k^\vec{v} = v_1\hat{i} + v_2\hat{j} + v_3\hat{k} is uv=u1v1+u2v2+u3v3\vec{u} \cdot \vec{v} = u_1v_1 + u_2v_2 + u_3v_3.
  • Magnitude of a Vector: The magnitude of a vector u=u1i^+u2j^+u3k^\vec{u} = u_1\hat{i} + u_2\hat{j} + u_3\hat{k} is u=u12+u22+u32|\vec{u}| = \sqrt{u_1^2 + u_2^2 + u_3^2}.
  • Lagrange's Identity: a×d2=a2d2(ad)2|\vec{a} \times \vec{d}|^2 = |\vec{a}|^2 |\vec{d}|^2 - (\vec{a} \cdot \vec{d})^2. This identity is derived from a×d=adsinθ|\vec{a} \times \vec{d}| = |\vec{a}||\vec{d}|\sin\theta and ad=adcosθ\vec{a} \cdot \vec{d} = |\vec{a}||\vec{d}|\cos\theta.

Step-by-Step Solution

Step 1: Determine the direction of d\vec{d} We are given that d\vec{d} is perpendicular to both b\vec{b} and c\vec{c}. This implies that d\vec{d} must be parallel to the cross product of b\vec{b} and c\vec{c}. Therefore, we can write d\vec{d} as: d=λ(b×c)\vec{d} = \lambda(\vec{b} \times \vec{c}) where λ\lambda is a scalar.

First, we compute the cross product b×c\vec{b} \times \vec{c}:

b×c=i^j^k^122143\vec{b} \times \vec{c} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & -2 & -2 \\ -1 & 4 & 3 \end{vmatrix}

Expanding the determinant:

b×c=i^((2)(3)(2)(4))j^((1)(3)(2)(1))+k^((1)(4)(2)(1))=i^(6+8)j^(32)+k^(42)=2i^j^+2k^\begin{aligned} \vec{b} \times \vec{c} &= \hat{i}((-2)(3) - (-2)(4)) - \hat{j}((1)(3) - (-2)(-1)) + \hat{k}((1)(4) - (-2)(-1)) \\ &= \hat{i}(-6 + 8) - \hat{j}(3 - 2) + \hat{k}(4 - 2) \\ &= 2\hat{i} - \hat{j} + 2\hat{k} \end{aligned}

So, d=λ(2i^j^+2k^)\vec{d} = \lambda(2\hat{i} - \hat{j} + 2\hat{k}).

Step 2: Find the scalar λ\lambda using the dot product condition We are given that ad=18\vec{a} \cdot \vec{d} = 18. Substituting the expression for d\vec{d}: (2i^+3j^+4k^)λ(2i^j^+2k^)=18(2\hat{i} + 3\hat{j} + 4\hat{k}) \cdot \lambda(2\hat{i} - \hat{j} + 2\hat{k}) = 18 λ[(2)(2)+(3)(1)+(4)(2)]=18\lambda[(2)(2) + (3)(-1) + (4)(2)] = 18 λ[43+8]=18\lambda[4 - 3 + 8] = 18 λ[9]=18\lambda[9] = 18 Solving for λ\lambda: λ=189=2\lambda = \frac{18}{9} = 2 Now we have the complete vector d\vec{d}: d=2(2i^j^+2k^)=4i^2j^+4k^\vec{d} = 2(2\hat{i} - \hat{j} + 2\hat{k}) = 4\hat{i} - 2\hat{j} + 4\hat{k}

Step 3: Calculate a×d2|\vec{a} \times \vec{d}|^2 using Lagrange's Identity Lagrange's identity provides a direct way to compute a×d2|\vec{a} \times \vec{d}|^2: a×d2=a2d2(ad)2|\vec{a} \times \vec{d}|^2 = |\vec{a}|^2 |\vec{d}|^2 - (\vec{a} \cdot \vec{d})^2 We are given ad=18\vec{a} \cdot \vec{d} = 18. We need to find a2|\vec{a}|^2 and d2|\vec{d}|^2.

Calculate a2|\vec{a}|^2: a2=(2)2+(3)2+(4)2=4+9+16=29|\vec{a}|^2 = (2)^2 + (3)^2 + (4)^2 = 4 + 9 + 16 = 29

Calculate d2|\vec{d}|^2: d2=(4)2+(2)2+(4)2=16+4+16=36|\vec{d}|^2 = (4)^2 + (-2)^2 + (4)^2 = 16 + 4 + 16 = 36

Now, substitute these values into Lagrange's identity: a×d2=(29)(36)(18)2|\vec{a} \times \vec{d}|^2 = (29)(36) - (18)^2 a×d2=1044324|\vec{a} \times \vec{d}|^2 = 1044 - 324 a×d2=720|\vec{a} \times \vec{d}|^2 = 720

Common Mistakes & Tips

  • Sign Errors in Cross Product: Be meticulous with signs when calculating the determinant for the cross product, especially for the j^\hat{j} component.
  • Direct Calculation vs. Identity: While calculating a×d\vec{a} \times \vec{d} and then its magnitude is possible, it is more computationally intensive and prone to errors than using Lagrange's identity, which directly utilizes the given dot product and calculated magnitudes.
  • Magnitude Calculation: Ensure you are squaring the magnitude of the vectors and not the vectors themselves, and that you are taking the square root correctly when calculating magnitudes if needed.

Summary

The problem requires finding the magnitude squared of the cross product of vectors a\vec{a} and d\vec{d}. We first established that d\vec{d} is parallel to b×c\vec{b} \times \vec{c} and used the given dot product condition ad=18\vec{a} \cdot \vec{d} = 18 to find the scalar multiplier for d\vec{d}. Finally, we efficiently calculated a×d2|\vec{a} \times \vec{d}|^2 using Lagrange's identity, which relates the squared magnitude of a cross product to the product of the squared magnitudes of the vectors and the square of their dot product.

The final answer is 720\boxed{720}.

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