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JEE Main 2023
Vector Algebra
Vector Algebra
Hard

Question

Let a=6i^+9j^+12k^,b=αi^+11j^2k^\vec{a}=6 \hat{i}+9 \hat{j}+12 \hat{k}, \vec{b}=\alpha \hat{i}+11 \hat{j}-2 \hat{k} and c\vec{c} be vectors such that a×c=a×b\vec{a} \times \vec{c}=\vec{a} \times \vec{b}. If ac=12,c(i^2j^+k^)=5\vec{a} \cdot \vec{c}=-12, \vec{c} \cdot(\hat{i}-2 \hat{j}+\hat{k})=5, then c(i^+j^+k^)\vec{c} \cdot(\hat{i}+\hat{j}+\hat{k}) is equal to _______________.

Answer: 1

Solution

Key Concepts and Formulas

  1. Vector Representation: A vector v\vec{v} in component form is v=vxi^+vyj^+vzk^\vec{v} = v_x \hat{i} + v_y \hat{j} + v_z \hat{k}.
  2. Dot Product: For A=Axi^+Ayj^+Azk^\vec{A} = A_x \hat{i} + A_y \hat{j} + A_z \hat{k} and B=Bxi^+Byj^+Bzk^\vec{B} = B_x \hat{i} + B_y \hat{j} + B_z \hat{k}, AB=AxBx+AyBy+AzBz\vec{A} \cdot \vec{B} = A_x B_x + A_y B_y + A_z B_z.
  3. Cross Product Property: If A×B=0\vec{A} \times \vec{B} = \vec{0} and A0\vec{A} \neq \vec{0}, then A\vec{A} and B\vec{B} are parallel, meaning B=kA\vec{B} = k\vec{A} for some scalar kk.
  4. Distributive Property of Cross Product: A×(BC)=A×BA×C\vec{A} \times (\vec{B} - \vec{C}) = \vec{A} \times \vec{B} - \vec{A} \times \vec{C}.

Step-by-Step Solution

Let the unknown vector c\vec{c} be represented as c=c1i^+c2j^+c3k^\vec{c} = c_1 \hat{i} + c_2 \hat{j} + c_3 \hat{k}. We are given a=6i^+9j^+12k^\vec{a}=6 \hat{i}+9 \hat{j}+12 \hat{k} and b=αi^+11j^2k^\vec{b}=\alpha \hat{i}+11 \hat{j}-2 \hat{k}.

Step 1: Use the dot product conditions to form linear equations.

The condition ac=12\vec{a} \cdot \vec{c}=-12 translates to: (6i^+9j^+12k^)(c1i^+c2j^+c3k^)=12(6 \hat{i}+9 \hat{j}+12 \hat{k}) \cdot (c_1 \hat{i}+c_2 \hat{j}+c_3 \hat{k}) = -12 6c1+9c2+12c3=126c_1 + 9c_2 + 12c_3 = -12 Dividing by 3, we get: 2c1+3c2+4c3=4...(1)2c_1 + 3c_2 + 4c_3 = -4 \quad \text{...(1)}

The condition c(i^2j^+k^)=5\vec{c} \cdot(\hat{i}-2 \hat{j}+\hat{k})=5 translates to: (c1i^+c2j^+c3k^)(i^2j^+k^)=5(c_1 \hat{i}+c_2 \hat{j}+c_3 \hat{k}) \cdot (\hat{i}-2 \hat{j}+\hat{k}) = 5 c12c2+c3=5...(2)c_1 - 2c_2 + c_3 = 5 \quad \text{...(2)}

Step 2: Utilize the cross product condition to establish a relationship between c\vec{c} and b\vec{b}.

We are given a×c=a×b\vec{a} \times \vec{c}=\vec{a} \times \vec{b}. Rearranging this, we get: a×ca×b=0\vec{a} \times \vec{c} - \vec{a} \times \vec{b} = \vec{0} Using the distributive property of the cross product: a×(cb)=0\vec{a} \times (\vec{c} - \vec{b}) = \vec{0} Since a0\vec{a} \neq \vec{0}, the vector (cb)(\vec{c} - \vec{b}) must be parallel to a\vec{a}. Therefore, we can write: cb=ka\vec{c} - \vec{b} = k \vec{a} for some scalar kk. This means c=b+ka\vec{c} = \vec{b} + k \vec{a}.

Substituting the components: c1i^+c2j^+c3k^=(αi^+11j^2k^)+k(6i^+9j^+12k^)c_1 \hat{i} + c_2 \hat{j} + c_3 \hat{k} = (\alpha \hat{i}+11 \hat{j}-2 \hat{k}) + k(6 \hat{i}+9 \hat{j}+12 \hat{k}) c1i^+c2j^+c3k^=(α+6k)i^+(11+9k)j^+(2+12k)k^c_1 \hat{i} + c_2 \hat{j} + c_3 \hat{k} = (\alpha + 6k) \hat{i} + (11 + 9k) \hat{j} + (-2 + 12k) \hat{k} Equating the components, we get: c1=α+6k...(3)c_1 = \alpha + 6k \quad \text{...(3)} c2=11+9k...(4)c_2 = 11 + 9k \quad \text{...(4)} c3=2+12k...(5)c_3 = -2 + 12k \quad \text{...(5)}

Step 3: Solve the system of equations for α\alpha and kk.

Substitute equations (3), (4), and (5) into equation (2): (α+6k)2(11+9k)+(2+12k)=5(\alpha + 6k) - 2(11 + 9k) + (-2 + 12k) = 5 α+6k2218k2+12k=5\alpha + 6k - 22 - 18k - 2 + 12k = 5 α+(618+12)k24=5\alpha + (6 - 18 + 12)k - 24 = 5 α+0k24=5\alpha + 0k - 24 = 5 α=29\alpha = 29

Now substitute equations (3), (4), (5), and the value of α=29\alpha=29 into equation (1): 2(α+6k)+3(11+9k)+4(2+12k)=42(\alpha + 6k) + 3(11 + 9k) + 4(-2 + 12k) = -4 2(29+6k)+3(11+9k)+4(2+12k)=42(29 + 6k) + 3(11 + 9k) + 4(-2 + 12k) = -4 58+12k+33+27k8+48k=458 + 12k + 33 + 27k - 8 + 48k = -4 (12+27+48)k+(58+338)=4(12 + 27 + 48)k + (58 + 33 - 8) = -4 87k+83=487k + 83 = -4 87k=8787k = -87 k=1k = -1

Step 4: Determine the components of c\vec{c}.

Using k=1k = -1 and α=29\alpha = 29 in equations (3), (4), and (5): c1=α+6k=29+6(1)=296=23c_1 = \alpha + 6k = 29 + 6(-1) = 29 - 6 = 23 c2=11+9k=11+9(1)=119=2c_2 = 11 + 9k = 11 + 9(-1) = 11 - 9 = 2 c3=2+12k=2+12(1)=212=14c_3 = -2 + 12k = -2 + 12(-1) = -2 - 12 = -14 So, c=23i^+2j^14k^\vec{c} = 23 \hat{i} + 2 \hat{j} - 14 \hat{k}.

Step 5: Calculate the final dot product.

We need to find c(i^+j^+k^)\vec{c} \cdot(\hat{i}+\hat{j}+\hat{k}): c(i^+j^+k^)=(23i^+2j^14k^)(i^+j^+k^)\vec{c} \cdot(\hat{i}+\hat{j}+\hat{k}) = (23 \hat{i} + 2 \hat{j} - 14 \hat{k}) \cdot (\hat{i}+\hat{j}+\hat{k}) =(23)(1)+(2)(1)+(14)(1)= (23)(1) + (2)(1) + (-14)(1) =23+214= 23 + 2 - 14 =2514= 25 - 14 =11= 11

Common Mistakes & Tips

  • Algebraic Errors: Be extremely careful with signs and arithmetic when solving the system of equations.
  • Misinterpreting Cross Product: Ensure you correctly apply the property that A×B=0\vec{A} \times \vec{B} = \vec{0} implies parallelism for non-zero vectors.
  • Scalar Representation: When setting up the parallelism, cb=ka\vec{c} - \vec{b} = k\vec{a} is one way; a=λ(cb)\vec{a} = \lambda(\vec{c} - \vec{b}) is another. Ensure consistency in your chosen notation.

Summary

The problem was solved by first converting the given dot product conditions into a system of linear equations involving the components of c\vec{c}. The cross product condition was used to establish that cb\vec{c} - \vec{b} is parallel to a\vec{a}, leading to expressions for the components of c\vec{c} in terms of an unknown scalar kk and the component α\alpha of b\vec{b}. Substituting these expressions back into the linear equations allowed us to solve for α\alpha and kk. Finally, the components of c\vec{c} were determined, and the required dot product was calculated.

The final answer is 11\boxed{11}.

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