JEE PYQ: Vector Algebra - Question ID 847b23cdf307 (JEE Main 2018)

ID: 847b23cdf307JEE Main 2018Single Correct MCQ
Let A\overrightarrow A = (i^+j^)\left( {\widehat i + \widehat j} \right) and, B=(2i^j^).\overrightarrow B = \left( {2\widehat i - \widehat j} \right). The magnitude of a coplanar vector C\overrightarrow C such that A.C=B.C=A.B,\overrightarrow A .\overrightarrow C = \overrightarrow B .\overrightarrow C = \overrightarrow A .\overrightarrow B , is given by :

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Step-by-step Explanation

Core Formula & Concept:

In vector algebra, the dot product (scalar product) of two vectors A\vec{A} and B\vec{B} is defined as: AB=ABcosθ\vec{A} \cdot \vec{B} = |\vec{A}|\,|\vec{B}|\,\cos\theta where θ\theta is the angle between them. When two vectors are given in Cartesian form, say A=axi^+ayj^\vec{A} = a_x\,\hat{i} + a_y\,\hat{j} and B=bxi^+byj^\vec{B} = b_x\,\hat{i} + b_y\,\hat{j}, their dot product is computed component-wise: AB=axbx+ayby.\vec{A} \cdot \vec{B} = a_x b_x + a_y b_y.

In this problem we are given three coplanar vectors A\vec{A}, B\vec{B}, and C\vec{C} and the conditions AC=BC=AB.\vec{A} \cdot \vec{C} = \vec{B} \cdot \vec{C} = \vec{A} \cdot \vec{B}. These conditions translate into two linear equations for the components of C\vec{C}. Solving those equations yields C\vec{C} up to a scalar multiple; its magnitude then follows from the Pythagorean theorem.

Step-by-Step Derivation:

1. Write the given vectors in component form.
Given A=i^+j^Ax=1,Ay=1;\vec{A} = \hat{i} + \hat{j} \quad\Longrightarrow\quad A_x = 1,\quad A_y = 1; B=2i^j^Bx=2,By=1.\vec{B} = 2\,\hat{i} - \hat{j} \quad\Longrightarrow\quad B_x = 2,\quad B_y = -1.

2. Compute AB\vec{A}\cdot\vec{B}.
AB=AxBx+AyBy=(1)(2)+(1)(1)=21=1.\vec{A}\cdot\vec{B} = A_x B_x + A_y B_y = (1)(2) + (1)(-1) = 2 - 1 = 1. Hence the common value of the dot products is 11.

3. Set up the two linear equations for C=(Cx,Cy)\vec{C}=(C_x,C_y).
Condition 1: AC=11Cx+1Cy=1Cx+Cy=1.\vec{A}\cdot\vec{C} = 1 \quad\Longrightarrow\quad 1\cdot C_x + 1\cdot C_y = 1 \quad\Longrightarrow\quad C_x + C_y = 1. Condition 2: BC=12Cx1Cy=12CxCy=1.\vec{B}\cdot\vec{C} = 1 \quad\Longrightarrow\quad 2\,C_x - 1\,C_y = 1 \quad\Longrightarrow\quad 2\,C_x - C_y = 1.

4. Solve the system of equations.
We have {Cx+Cy=1,2CxCy=1.\begin{cases} C_x + C_y = 1,\\ 2\,C_x - C_y = 1. \end{cases} Add the two equations to eliminate CyC_y: 3Cx=2Cx=23.3\,C_x = 2 \quad\Longrightarrow\quad C_x = \tfrac{2}{3}. Substitute back into the first equation: 23+Cy=1Cy=123=13.\tfrac{2}{3} + C_y = 1 \quad\Longrightarrow\quad C_y = 1 - \tfrac{2}{3} = \tfrac{1}{3}. Thus C=23i^+13j^.\vec{C} = \tfrac{2}{3}\,\hat{i} + \tfrac{1}{3}\,\hat{j}.

5. Compute the magnitude of C\vec{C}.
C=(23)2+(13)2=49+19=59=53.|\vec{C}| = \sqrt{\bigl(\tfrac{2}{3}\bigr)^2 + \bigl(\tfrac{1}{3}\bigr)^2} = \sqrt{\frac{4}{9} + \frac{1}{9}} = \sqrt{\frac{5}{9}} = \frac{\sqrt{5}}{3}.

6. Match with the given options.
The magnitude is 59\sqrt{\tfrac{5}{9}}, which corresponds to option B.

Common Traps & Exam Tip:

1. Misinterpreting the dot-product conditions. Students sometimes treat AC=BC\vec{A}\cdot\vec{C}=\vec{B}\cdot\vec{C} as an orthogonality condition rather than an equality of two scalars. 2. Sign errors in components. In B=2i^j^\vec{B}=2\hat{i}-\hat{j}, the negative sign on the jj–component is easy to overlook when setting up the second equation. 3. Forgetting to take the square root. After computing Cx2+Cy2C_x^2+C_y^2, one must remember to take the square root to obtain the magnitude. 4. Assuming C\vec{C} is unique. In fact the system has exactly one solution, but if the two conditions were not independent one would have to consider a family of solutions.

Exam Tip: Always write down the component form of the dot product explicitly. That turns a vector condition into a simple linear equation, which is much easier to solve.