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JEE Main 2023
Vector Algebra
Vector Algebra
Hard

Question

Let a=i^+2j^+k^,b=3i^3j^+3k^,c=2i^j^+2k^\vec{a}=\hat{i}+2 \hat{j}+\hat{k}, \vec{b}=3 \hat{i}-3 \hat{j}+3 \hat{k}, \vec{c}=2 \hat{i}-\hat{j}+2 \hat{k} and d\vec{d} be a vector such that b×d=c×d\vec{b} \times \vec{d}=\vec{c} \times \vec{d} and ad=4\vec{a} \cdot \vec{d}=4. Then (a×d)2|(\vec{a} \times \vec{d})|^2 is equal to___________.

Answer: 0

Solution

Key Concepts and Formulas

  • Vector Cross Product Properties:
    • (XY)×Z=X×ZY×Z(\vec{X} - \vec{Y}) \times \vec{Z} = \vec{X} \times \vec{Z} - \vec{Y} \times \vec{Z} (Distributive property)
    • If A×B=0\vec{A} \times \vec{B} = \vec{0} and A,B0\vec{A}, \vec{B} \neq \vec{0}, then A\vec{A} and B\vec{B} are parallel, meaning A=kB\vec{A} = k\vec{B} for some scalar kk.
  • Vector Dot Product: For 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}, uv=u1v1+u2v2+u3v3\vec{u} \cdot \vec{v} = u_1 v_1 + u_2 v_2 + u_3 v_3.
  • Magnitude of a Vector: For v=v1i^+v2j^+v3k^\vec{v} = v_1 \hat{i} + v_2 \hat{j} + v_3 \hat{k}, v2=v12+v22+v32|\vec{v}|^2 = v_1^2 + v_2^2 + v_3^2.
  • Cross Product using Determinant: For 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}, u×v=i^j^k^u1u2u3v1v2v3\vec{u} \times \vec{v} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ u_1 & u_2 & u_3 \\ v_1 & v_2 & v_3 \end{vmatrix}

Step-by-Step Solution

Step 1: Analyze the condition b×d=c×d\vec{b} \times \vec{d} = \vec{c} \times \vec{d} to determine the direction of d\vec{d}. The given condition is b×d=c×d\vec{b} \times \vec{d} = \vec{c} \times \vec{d}. To proceed, we rearrange the equation by moving all terms to one side: b×dc×d=0\vec{b} \times \vec{d} - \vec{c} \times \vec{d} = \vec{0} Using the distributive property of the cross product, we can factor out d\vec{d}: (bc)×d=0(\vec{b} - \vec{c}) \times \vec{d} = \vec{0} This implies that the vector (bc)(\vec{b} - \vec{c}) and the vector d\vec{d} are parallel (or one of them is a zero vector). Since ad=4\vec{a} \cdot \vec{d} = 4, d\vec{d} cannot be the zero vector. Therefore, d\vec{d} must be parallel to (bc)(\vec{b} - \vec{c}). We can express this relationship as: d=λ(bc)\vec{d} = \lambda (\vec{b} - \vec{c}) where λ\lambda is a scalar constant.

Step 2: Calculate the vector (bc)(\vec{b} - \vec{c}). We are given b=3i^3j^+3k^\vec{b} = 3 \hat{i} - 3 \hat{j} + 3 \hat{k} and c=2i^j^+2k^\vec{c} = 2 \hat{i} - \hat{j} + 2 \hat{k}. bc=(3i^3j^+3k^)(2i^j^+2k^)\vec{b} - \vec{c} = (3 \hat{i} - 3 \hat{j} + 3 \hat{k}) - (2 \hat{i} - \hat{j} + 2 \hat{k}) =(32)i^+(3(1))j^+(32)k^= (3-2) \hat{i} + (-3 - (-1)) \hat{j} + (3-2) \hat{k} =1i^2j^+1k^= 1 \hat{i} - 2 \hat{j} + 1 \hat{k} =i^2j^+k^= \hat{i} - 2 \hat{j} + \hat{k}

Step 3: Use the condition ad=4\vec{a} \cdot \vec{d} = 4 to find the scalar λ\lambda. From Step 1, we have d=λ(i^2j^+k^)\vec{d} = \lambda (\hat{i} - 2 \hat{j} + \hat{k}). We are given a=i^+2j^+k^\vec{a} = \hat{i} + 2 \hat{j} + \hat{k}. Substitute these into the dot product condition: (i^+2j^+k^)(λ(i^2j^+k^))=4(\hat{i} + 2 \hat{j} + \hat{k}) \cdot (\lambda (\hat{i} - 2 \hat{j} + \hat{k})) = 4 We can take the scalar λ\lambda out of the dot product: λ[(i^+2j^+k^)(i^2j^+k^)]=4\lambda [(\hat{i} + 2 \hat{j} + \hat{k}) \cdot (\hat{i} - 2 \hat{j} + \hat{k})] = 4 Now, perform the dot product: λ[(1)(1)+(2)(2)+(1)(1)]=4\lambda [(1)(1) + (2)(-2) + (1)(1)] = 4 λ[14+1]=4\lambda [1 - 4 + 1] = 4 λ[2]=4\lambda [-2] = 4 Solving for λ\lambda: λ=42=2\lambda = \frac{4}{-2} = -2

Step 4: Determine the vector d\vec{d}. Now that we have found λ=2\lambda = -2, we can write the complete vector d\vec{d}: d=2(i^2j^+k^)\vec{d} = -2 (\hat{i} - 2 \hat{j} + \hat{k}) d=2i^+4j^2k^\vec{d} = -2 \hat{i} + 4 \hat{j} - 2 \hat{k}

Step 5: Calculate the cross product a×d\vec{a} \times \vec{d}. We have a=i^+2j^+k^\vec{a} = \hat{i} + 2 \hat{j} + \hat{k} and d=2i^+4j^2k^\vec{d} = -2 \hat{i} + 4 \hat{j} - 2 \hat{k}. Using the determinant method for the cross product: a×d=i^j^k^121242\vec{a} \times \vec{d} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 2 & 1 \\ -2 & 4 & -2 \end{vmatrix} =i^((2)(2)(1)(4))j^((1)(2)(1)(2))+k^((1)(4)(2)(2))= \hat{i} ((2)(-2) - (1)(4)) - \hat{j} ((1)(-2) - (1)(-2)) + \hat{k} ((1)(4) - (2)(-2)) =i^(44)j^(2(2))+k^(4(4))= \hat{i} (-4 - 4) - \hat{j} (-2 - (-2)) + \hat{k} (4 - (-4)) =i^(8)j^(0)+k^(8)= \hat{i} (-8) - \hat{j} (0) + \hat{k} (8) =8i^+0j^+8k^= -8 \hat{i} + 0 \hat{j} + 8 \hat{k}

Step 6: Calculate the magnitude squared of a×d\vec{a} \times \vec{d}. The resulting vector is a×d=8i^+8k^\vec{a} \times \vec{d} = -8 \hat{i} + 8 \hat{k}. The magnitude squared is: (a×d)2=(8)2+(0)2+(8)2|(\vec{a} \times \vec{d})|^2 = (-8)^2 + (0)^2 + (8)^2 =64+0+64= 64 + 0 + 64 =128= 128

Common Mistakes & Tips

  • Mistake: Assuming b×d=c×d\vec{b} \times \vec{d} = \vec{c} \times \vec{d} implies b=c\vec{b} = \vec{c}. This is incorrect; it implies that d\vec{d} is parallel to (bc)(\vec{b} - \vec{c}).
  • Tip: Always check if the given conditions lead to a trivial case (like d=0\vec{d} = \vec{0}) before proceeding. Here, ad=4\vec{a} \cdot \vec{d} = 4 prevents d\vec{d} from being zero.
  • Tip: When calculating cross products, be careful with the signs and the order of subtraction in the determinant expansion.

Summary

The problem required us to first determine the unknown vector d\vec{d} using the given vector conditions. The condition b×d=c×d\vec{b} \times \vec{d} = \vec{c} \times \vec{d} was used to establish that d\vec{d} is parallel to the vector (bc)(\vec{b} - \vec{c}). The second condition, ad=4\vec{a} \cdot \vec{d} = 4, allowed us to find the scalar multiplier that defines d\vec{d} completely. Once d\vec{d} was determined, we computed the cross product a×d\vec{a} \times \vec{d} and then found the square of its magnitude.

The final answer is 128\boxed{128}.

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