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JEE Main 2021
Vector Algebra
Vector Algebra
Medium

Question

Let a=3i^+j^2k^,b=4i^+j^+7k^\vec{a}=3 \hat{i}+\hat{j}-2 \hat{k}, \vec{b}=4 \hat{i}+\hat{j}+7 \hat{k} and c=i^3j^+4k^\vec{c}=\hat{i}-3 \hat{j}+4 \hat{k} be three vectors. If a vectors p\vec{p} satisfies p×b=c×b\vec{p} \times \vec{b}=\vec{c} \times \vec{b} and pa=0\vec{p} \cdot \vec{a}=0, then p(i^j^k^)\vec{p} \cdot(\hat{i}-\hat{j}-\hat{k}) is equal to

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Solution

Key Concepts and Formulas

  1. Cross Product Property: If A×B=C×B\vec{A} \times \vec{B} = \vec{C} \times \vec{B} and B0\vec{B} \neq \vec{0}, then AC\vec{A} - \vec{C} is parallel to B\vec{B}. This means AC=λB\vec{A} - \vec{C} = \lambda \vec{B} for some scalar λ\lambda.
  2. Distributive Property of Dot Product: X(Y+Z)=XY+XZ\vec{X} \cdot (\vec{Y} + \vec{Z}) = \vec{X} \cdot \vec{Y} + \vec{X} \cdot \vec{Z}.
  3. Scalar Multiplication with Dot Product: (λX)Y=λ(XY)(\lambda \vec{X}) \cdot \vec{Y} = \lambda (\vec{X} \cdot \vec{Y}).
  4. Dot Product of Vectors: If 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}, then UV=u1v1+u2v2+u3v3\vec{U} \cdot \vec{V} = u_1 v_1 + u_2 v_2 + u_3 v_3.

Step-by-Step Solution

We are given three vectors a=3i^+j^2k^\vec{a}=3 \hat{i}+\hat{j}-2 \hat{k}, b=4i^+j^+7k^\vec{b}=4 \hat{i}+\hat{j}+7 \hat{k}, and c=i^3j^+4k^\vec{c}=\hat{i}-3 \hat{j}+4 \hat{k}. We are also given two conditions for an unknown vector p\vec{p}:

  1. p×b=c×b\vec{p} \times \vec{b}=\vec{c} \times \vec{b}
  2. pa=0\vec{p} \cdot \vec{a}=0

Our goal is to find the value of p(i^j^k^)\vec{p} \cdot(\hat{i}-\hat{j}-\hat{k}).

Step 1: Use the cross product condition to establish a relationship for p\vec{p}.

The first condition is p×b=c×b\vec{p} \times \vec{b}=\vec{c} \times \vec{b}. Rearranging this equation, we get: p×bc×b=0\vec{p} \times \vec{b} - \vec{c} \times \vec{b} = \vec{0} Using the distributive property of the cross product, we can write: (pc)×b=0(\vec{p} - \vec{c}) \times \vec{b} = \vec{0} This implies that the vector (pc)(\vec{p} - \vec{c}) is parallel to the vector b\vec{b}. Therefore, we can express (pc)(\vec{p} - \vec{c}) as a scalar multiple of b\vec{b}: pc=λb\vec{p} - \vec{c} = \lambda \vec{b} where λ\lambda is a scalar. From this, we can express p\vec{p} as: p=c+λb() \vec{p} = \vec{c} + \lambda \vec{b} \quad (*)

Step 2: Use the dot product condition to find the scalar λ\lambda.

The second condition is pa=0\vec{p} \cdot \vec{a} = 0. Substitute the expression for p\vec{p} from equation ()(*) into this condition: (c+λb)a=0(\vec{c} + \lambda \vec{b}) \cdot \vec{a} = 0 Using the distributive property of the dot product, we expand this to: ca+(λb)a=0\vec{c} \cdot \vec{a} + (\lambda \vec{b}) \cdot \vec{a} = 0 ca+λ(ba)=0\vec{c} \cdot \vec{a} + \lambda (\vec{b} \cdot \vec{a}) = 0

Now, we calculate the required dot products: ca=(i^3j^+4k^)(3i^+j^2k^)\vec{c} \cdot \vec{a} = (\hat{i}-3 \hat{j}+4 \hat{k}) \cdot (3 \hat{i}+\hat{j}-2 \hat{k}) ca=(1)(3)+(3)(1)+(4)(2)=338=8\vec{c} \cdot \vec{a} = (1)(3) + (-3)(1) + (4)(-2) = 3 - 3 - 8 = -8

ba=(4i^+j^+7k^)(3i^+j^2k^)\vec{b} \cdot \vec{a} = (4 \hat{i}+\hat{j}+7 \hat{k}) \cdot (3 \hat{i}+\hat{j}-2 \hat{k}) ba=(4)(3)+(1)(1)+(7)(2)=12+114=1\vec{b} \cdot \vec{a} = (4)(3) + (1)(1) + (7)(-2) = 12 + 1 - 14 = -1

Substitute these values back into the equation ca+λ(ba)=0\vec{c} \cdot \vec{a} + \lambda (\vec{b} \cdot \vec{a}) = 0: 8+λ(1)=0-8 + \lambda (-1) = 0 8λ=0-8 - \lambda = 0 λ=8\lambda = -8

Step 3: Determine the vector p\vec{p}.

Now that we have found λ=8\lambda = -8, we can substitute this value back into the expression for p\vec{p} from equation ()(*): p=c+(8)b\vec{p} = \vec{c} + (-8) \vec{b} p=(i^3j^+4k^)8(4i^+j^+7k^)\vec{p} = (\hat{i}-3 \hat{j}+4 \hat{k}) - 8(4 \hat{i}+\hat{j}+7 \hat{k}) p=(i^3j^+4k^)(32i^+8j^+56k^)\vec{p} = (\hat{i}-3 \hat{j}+4 \hat{k}) - (32 \hat{i}+8 \hat{j}+56 \hat{k}) p=(132)i^+(38)j^+(456)k^\vec{p} = (1 - 32) \hat{i} + (-3 - 8) \hat{j} + (4 - 56) \hat{k} p=31i^11j^52k^\vec{p} = -31 \hat{i} - 11 \hat{j} - 52 \hat{k}

Step 4: Calculate the final dot product p(i^j^k^)\vec{p} \cdot(\hat{i}-\hat{j}-\hat{k}).

We need to compute the dot product of p\vec{p} with the vector (i^j^k^)(\hat{i}-\hat{j}-\hat{k}). Let q=i^j^k^\vec{q} = \hat{i}-\hat{j}-\hat{k}. pq=(31i^11j^52k^)(i^j^k^)\vec{p} \cdot \vec{q} = (-31 \hat{i} - 11 \hat{j} - 52 \hat{k}) \cdot (\hat{i}-\hat{j}-\hat{k}) Using the component form of the dot product: pq=(31)(1)+(11)(1)+(52)(1)\vec{p} \cdot \vec{q} = (-31)(1) + (-11)(-1) + (-52)(-1) pq=31+11+52\vec{p} \cdot \vec{q} = -31 + 11 + 52 pq=31+63\vec{p} \cdot \vec{q} = -31 + 63 pq=32\vec{p} \cdot \vec{q} = 32

Common Mistakes & Tips

  • Do not assume p=c\vec{p} = \vec{c} directly from p×b=c×b\vec{p} \times \vec{b}=\vec{c} \times \vec{b}. This only implies that (pc)(\vec{p} - \vec{c}) is parallel to b\vec{b}.
  • Carefully compute the dot products to avoid arithmetic errors, as these values are crucial for finding the scalar λ\lambda.
  • Remember to correctly distribute the scalar multiplication when calculating the components of p\vec{p}.

Summary

The problem requires using the properties of vector cross and dot products to find an unknown vector p\vec{p}. The condition p×b=c×b\vec{p} \times \vec{b}=\vec{c} \times \vec{b} allows us to express p\vec{p} in terms of c\vec{c} and b\vec{b} with an unknown scalar λ\lambda. The second condition, pa=0\vec{p} \cdot \vec{a}=0, is then used to form an equation that allows us to solve for λ\lambda. Once λ\lambda is found, p\vec{p} is fully determined, and the required dot product can be calculated. The calculated value is 32.

The final answer is 32\boxed{32}.

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