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JEE Main 2020
Vector Algebra
Vector Algebra
Hard

Question

Let a=i^2j^+k^\overrightarrow a = \widehat i - 2\widehat j + \widehat k and b=i^j^+k^\overrightarrow b = \widehat i - \widehat j + \widehat k be two vectors. If c\overrightarrow c is a vector such that b×c=b×a\overrightarrow b \times \overrightarrow c = \overrightarrow b \times \overrightarrow a and c.a=0\overrightarrow c .\overrightarrow a = 0, then c.b\overrightarrow c .\overrightarrow b is equal to

Options

Solution

Key Concepts and Formulas

  1. Cross Product Property for Parallel Vectors: If u×v=0\vec{u} \times \vec{v} = \vec{0} and u0\vec{u} \neq \vec{0}, then v\vec{v} is parallel to u\vec{u}, meaning v=ku\vec{v} = k\vec{u} for some scalar kk.
  2. 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}.
  3. Distributive Property of Dot Product: a(b+c)=ab+ac\vec{a} \cdot (\vec{b} + \vec{c}) = \vec{a} \cdot \vec{b} + \vec{a} \cdot \vec{c}.
  4. Dot Product of a Vector with Itself: aa=a2\vec{a} \cdot \vec{a} = |\vec{a}|^2.
  5. Dot Product Commutativity: ab=ba\vec{a} \cdot \vec{b} = \vec{b} \cdot \vec{a}.
  6. Component-wise Dot Product: If u=u1i^+u2j^+u3k^\vec{u} = u_1\widehat{i} + u_2\widehat{j} + u_3\widehat{k} and v=v1i^+v2j^+v3k^\vec{v} = v_1\widehat{i} + v_2\widehat{j} + v_3\widehat{k}, then uv=u1v1+u2v2+u3v3\vec{u} \cdot \vec{v} = u_1v_1 + u_2v_2 + u_3v_3.

Step-by-Step Solution

1. Analyze the Given Information and Goal

We are given two vectors, a=i^2j^+k^\overrightarrow a = \widehat i - 2\widehat j + \widehat k and b=i^j^+k^\overrightarrow b = \widehat i - \widehat j + \widehat k. We are also given two conditions involving an unknown vector c\overrightarrow c: (i) b×c=b×a\overrightarrow b \times \overrightarrow c = \overrightarrow b \times \overrightarrow a (ii) ca=0\overrightarrow c \cdot \overrightarrow a = 0 Our goal is to find the value of cb\overrightarrow c \cdot \overrightarrow b.

2. Simplify the Cross Product Condition

The first condition, b×c=b×a\overrightarrow b \times \overrightarrow c = \overrightarrow b \times \overrightarrow a , can be rearranged.

  • Rearrange the equation: Subtract b×a\overrightarrow b \times \overrightarrow a from both sides to get: b×cb×a=0\overrightarrow b \times \overrightarrow c - \overrightarrow b \times \overrightarrow a = \overrightarrow 0 Why: This step is taken to group terms involving the cross product, enabling the use of its distributive property.

  • Apply the distributive property of the cross product: Factor out b\overrightarrow b from the left side: b×(ca)=0\overrightarrow b \times (\overrightarrow c - \overrightarrow a) = \overrightarrow 0 Why: This transformation is crucial because it puts the equation in the form u×v=0\vec{u} \times \vec{v} = \vec{0}.

  • Deduce the parallelism: Since b×(ca)=0\overrightarrow b \times (\overrightarrow c - \overrightarrow a) = \overrightarrow 0, and we know b\overrightarrow b is not the zero vector (as its components are 1, -1, 1), the vector (ca)(\overrightarrow c - \overrightarrow a) must be parallel to b\overrightarrow b. Why: The cross product of two non-zero vectors is zero if and only if they are parallel.

  • Express (ca)(\overrightarrow c - \overrightarrow a) in terms of b\overrightarrow b: If (ca)(\overrightarrow c - \overrightarrow a) is parallel to b\overrightarrow b, then (ca)(\overrightarrow c - \overrightarrow a) can be written as a scalar multiple of b\overrightarrow b. Let this scalar be λ\lambda. ca=λb\overrightarrow c - \overrightarrow a = \lambda \overrightarrow b Why: Introducing a scalar λ\lambda allows us to represent the relationship between the parallel vectors and will help us solve for the unknown vector c\overrightarrow c.

  • Express c\overrightarrow c in terms of a\overrightarrow a and b\overrightarrow b: Rearranging the equation, we get: c=a+λb\overrightarrow c = \overrightarrow a + \lambda \overrightarrow b Why: This equation provides a general form for c\overrightarrow c that satisfies the first given condition. We will use the second condition to determine the specific value of λ\lambda.

3. Use the Dot Product Condition to Find the Scalar λ\lambda

The second condition is ca=0\overrightarrow c \cdot \overrightarrow a = 0. We substitute the expression for c\overrightarrow c from Step 2 into this condition.

  • Substitute the expression for c\overrightarrow c: (a+λb)a=0(\overrightarrow a + \lambda \overrightarrow b) \cdot \overrightarrow a = 0 Why: By substituting the general form of c\overrightarrow c, we obtain an equation that involves only known vectors and the unknown scalar λ\lambda.

  • Apply the distributive property of the dot product: aa+λ(ba)=0\overrightarrow a \cdot \overrightarrow a + \lambda (\overrightarrow b \cdot \overrightarrow a) = 0 Why: The dot product distributes over vector addition, allowing us to expand the expression.

  • Calculate the necessary dot products and magnitudes: We need aa\overrightarrow a \cdot \overrightarrow a and ba\overrightarrow b \cdot \overrightarrow a. aa=a2=(1)2+(2)2+(1)2=1+4+1=6\overrightarrow a \cdot \overrightarrow a = |\overrightarrow a|^2 = (1)^2 + (-2)^2 + (1)^2 = 1 + 4 + 1 = 6 ba=ab=(1)(1)+(2)(1)+(1)(1)=1+2+1=4\overrightarrow b \cdot \overrightarrow a = \overrightarrow a \cdot \overrightarrow b = (1)(1) + (-2)(-1) + (1)(1) = 1 + 2 + 1 = 4 Why: Calculating these values allows us to substitute them into the equation and solve for λ\lambda.

  • Solve for λ\lambda: Substitute the calculated values into the equation from the distributive property: 6+λ(4)=06 + \lambda (4) = 0 4λ=64\lambda = -6 λ=64=32\lambda = -\frac{6}{4} = -\frac{3}{2} Why: We have now found the specific scalar value λ\lambda that makes c\overrightarrow c satisfy both given conditions.

4. Calculate the Required Dot Product cb\overrightarrow c \cdot \overrightarrow b

We need to find cb\overrightarrow c \cdot \overrightarrow b. We know that c=a+λb\overrightarrow c = \overrightarrow a + \lambda \overrightarrow b, and we have found λ=32\lambda = -\frac{3}{2}.

  • Substitute the expression for c\overrightarrow c and the value of λ\lambda: cb=(a+λb)b\overrightarrow c \cdot \overrightarrow b = (\overrightarrow a + \lambda \overrightarrow b) \cdot \overrightarrow b cb=(a32b)b\overrightarrow c \cdot \overrightarrow b = (\overrightarrow a - \frac{3}{2} \overrightarrow b) \cdot \overrightarrow b Why: We substitute the expression for c\overrightarrow c into the dot product we need to compute.

  • Apply the distributive property of the dot product: cb=ab32(bb)\overrightarrow c \cdot \overrightarrow b = \overrightarrow a \cdot \overrightarrow b - \frac{3}{2} (\overrightarrow b \cdot \overrightarrow b) Why: The dot product distributes over vector subtraction, allowing us to separate the terms.

  • Calculate the necessary dot products and magnitudes: We already calculated ab=4\overrightarrow a \cdot \overrightarrow b = 4 in Step 3. Now we need bb\overrightarrow b \cdot \overrightarrow b. bb=b2=(1)2+(1)2+(1)2=1+1+1=3\overrightarrow b \cdot \overrightarrow b = |\overrightarrow b|^2 = (1)^2 + (-1)^2 + (1)^2 = 1 + 1 + 1 = 3 Why: These values are needed to complete the calculation of cb\overrightarrow c \cdot \overrightarrow b.

  • Compute the final result: Substitute the calculated values into the expanded dot product expression: cb=432(3)\overrightarrow c \cdot \overrightarrow b = 4 - \frac{3}{2} (3) cb=492\overrightarrow c \cdot \overrightarrow b = 4 - \frac{9}{2} cb=8292\overrightarrow c \cdot \overrightarrow b = \frac{8}{2} - \frac{9}{2} cb=12\overrightarrow c \cdot \overrightarrow b = -\frac{1}{2} Why: This is the final value of the required dot product, obtained by combining the results of our vector manipulations.

Common Mistakes & Tips

  • Algebraic Errors: Be extremely careful with signs and fractions when performing vector addition, subtraction, and scalar multiplication.
  • Misinterpreting Cross Product: Remember that u×v=0\vec{u} \times \vec{v} = \vec{0} implies parallelism, not necessarily equality or being the zero vector.
  • Efficiency: Instead of finding the explicit components of c\overrightarrow c first, it is more efficient to use its general form c=a+λb\overrightarrow c = \overrightarrow a + \lambda \overrightarrow b directly in the final dot product calculation.

Summary

The problem is solved by first using the cross product condition b×c=b×a\overrightarrow b \times \overrightarrow c = \overrightarrow b \times \overrightarrow a to deduce that ca\overrightarrow c - \overrightarrow a is parallel to b\overrightarrow b, leading to the expression c=a+λb\overrightarrow c = \overrightarrow a + \lambda \overrightarrow b. Subsequently, the dot product condition ca=0\overrightarrow c \cdot \overrightarrow a = 0 is used to form an equation involving the scalar λ\lambda, which is solved to be λ=3/2\lambda = -3/2. Finally, the required dot product cb\overrightarrow c \cdot \overrightarrow b is computed by substituting the expression for c\overrightarrow c and the value of λ\lambda.

The final answer is 12\boxed{{ - {1 \over 2}}}, which corresponds to option (A).

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