Skip to main content
Back to Vector Algebra
JEE Main 2023
Vector Algebra
Vector Algebra
Hard

Question

Let α=3i^+j^\overrightarrow \alpha = 3\widehat i + \widehat j and β=2i^j^+3k^\overrightarrow \beta = 2\widehat i - \widehat j + 3 \widehat k . If β=β1β2\overrightarrow \beta = {\overrightarrow \beta _1} - \overrightarrow {{\beta _2}} , where β1{\overrightarrow \beta _1} is parallel to α\overrightarrow \alpha and β2\overrightarrow {{\beta _2}} is perpendicular to α\overrightarrow \alpha , then β1×β2{\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} is equal to

Options

Solution

1. Key Concepts and Formulas

  • Vector Projection: The projection of vector b\overrightarrow{b} onto vector a\overrightarrow{a} is given by projab=baa2a\text{proj}_{\overrightarrow{a}}\overrightarrow{b} = \frac{\overrightarrow{b} \cdot \overrightarrow{a}}{||\overrightarrow{a}||^2}\overrightarrow{a}. This component is parallel to a\overrightarrow{a}.
  • Vector Decomposition: A vector b\overrightarrow{b} can be decomposed into a component parallel to a\overrightarrow{a} and a component perpendicular to a\overrightarrow{a}. If b=b+b\overrightarrow{b} = \overrightarrow{b}_{||} + \overrightarrow{b}_{\perp}, where b\overrightarrow{b}_{||} is parallel to a\overrightarrow{a} and b\overrightarrow{b}_{\perp} is perpendicular to a\overrightarrow{a}, then b=projab\overrightarrow{b}_{||} = \text{proj}_{\overrightarrow{a}}\overrightarrow{b} and b=bb\overrightarrow{b}_{\perp} = \overrightarrow{b} - \overrightarrow{b}_{||}.
  • Vector Cross Product: The cross product of two vectors u=u1i^+u2j^+u3k^\overrightarrow{u} = u_1\widehat i + u_2\widehat j + u_3\widehat k and v=v1i^+v2j^+v3k^\overrightarrow{v} = v_1\widehat i + v_2\widehat j + v_3\widehat k is given by the determinant: u×v=i^j^k^u1u2u3v1v2v3\overrightarrow{u} \times \overrightarrow{v} = \begin{vmatrix} \widehat i & \widehat j & \widehat k \\ u_1 & u_2 & u_3 \\ v_1 & v_2 & v_3 \end{vmatrix}

2. Step-by-Step Solution

Step 1: Identify the components of β\overrightarrow{\beta} We are given β=β1β2\overrightarrow \beta = {\overrightarrow \beta _1} - \overrightarrow {{\beta _2}} . We are also given that β1{\overrightarrow \beta _1} is parallel to α\overrightarrow \alpha and β2\overrightarrow {{\beta _2}} is perpendicular to α\overrightarrow \alpha. This means that β1{\overrightarrow \beta _1} is the component of β\overrightarrow \beta that lies in the direction of α\overrightarrow \alpha, and β2\overrightarrow {{\beta _2}} is related to the component of β\overrightarrow \beta perpendicular to α\overrightarrow \alpha.

Step 2: Calculate β1{\overrightarrow \beta _1} Since β1{\overrightarrow \beta _1} is parallel to α\overrightarrow \alpha and is a component of β\overrightarrow \beta, it must be the vector projection of β\overrightarrow \beta onto α\overrightarrow \alpha. We are given α=3i^+j^\overrightarrow \alpha = 3\widehat i + \widehat j and β=2i^j^+3k^\overrightarrow \beta = 2\widehat i - \widehat j + 3 \widehat k.

First, calculate the dot product βα\overrightarrow \beta \cdot \overrightarrow \alpha: βα=(2)(3)+(1)(1)+(3)(0)=61+0=5\overrightarrow \beta \cdot \overrightarrow \alpha = (2)(3) + (-1)(1) + (3)(0) = 6 - 1 + 0 = 5

Next, calculate the square of the magnitude of α\overrightarrow \alpha: α2=(3)2+(1)2+(0)2=9+1=10||\overrightarrow \alpha||^2 = (3)^2 + (1)^2 + (0)^2 = 9 + 1 = 10

Now, use the vector projection formula to find β1{\overrightarrow \beta _1}: β1=βαα2α=510(3i^+j^)=12(3i^+j^)=32i^+12j^{\overrightarrow \beta _1} = \frac{\overrightarrow \beta \cdot \overrightarrow \alpha}{||\overrightarrow \alpha||^2}\overrightarrow \alpha = \frac{5}{10}(3\widehat i + \widehat j) = \frac{1}{2}(3\widehat i + \widehat j) = \frac{3}{2}\widehat i + \frac{1}{2}\widehat j

Step 3: Calculate β2\overrightarrow {{\beta _2}} From the given decomposition β=β1β2\overrightarrow \beta = {\overrightarrow \beta _1} - \overrightarrow {{\beta _2}} , we can rearrange to solve for β2\overrightarrow {{\beta _2}}: β2=β1β\overrightarrow {{\beta _2}} = {\overrightarrow \beta _1} - \overrightarrow \beta

Substitute the calculated value of β1{\overrightarrow \beta _1} and the given β\overrightarrow \beta: β2=(32i^+12j^)(2i^j^+3k^)\overrightarrow {{\beta _2}} = \left(\frac{3}{2}\widehat i + \frac{1}{2}\widehat j\right) - (2\widehat i - \widehat j + 3 \widehat k)

Perform the vector subtraction: β2=(322)i^+(12(1))j^+(03)k^\overrightarrow {{\beta _2}} = \left(\frac{3}{2} - 2\right)\widehat i + \left(\frac{1}{2} - (-1)\right)\widehat j + (0 - 3)\widehat k β2=(342)i^+(1+22)j^3k^\overrightarrow {{\beta _2}} = \left(\frac{3 - 4}{2}\right)\widehat i + \left(\frac{1 + 2}{2}\right)\widehat j - 3\widehat k β2=12i^+32j^3k^\overrightarrow {{\beta _2}} = -\frac{1}{2}\widehat i + \frac{3}{2}\widehat j - 3\widehat k We can verify that β2\overrightarrow {{\beta _2}} is indeed perpendicular to α\overrightarrow \alpha: β2α=(12)(3)+(32)(1)+(3)(0)=32+32+0=0\overrightarrow {{\beta _2}} \cdot \overrightarrow \alpha = (-\frac{1}{2})(3) + (\frac{3}{2})(1) + (-3)(0) = -\frac{3}{2} + \frac{3}{2} + 0 = 0 This confirms our calculation for β2\overrightarrow {{\beta _2}} is consistent with the problem statement.

Step 4: Calculate the cross product β1×β2{\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} Now we compute the cross product of β1=32i^+12j^+0k^{\overrightarrow \beta _1} = \frac{3}{2}\widehat i + \frac{1}{2}\widehat j + 0\widehat k and β2=12i^+32j^3k^\overrightarrow {{\beta _2}} = -\frac{1}{2}\widehat i + \frac{3}{2}\widehat j - 3\widehat k.

Using the determinant formula for the cross product: β1×β2=i^j^k^3212012323{\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} = \begin{vmatrix} \widehat i & \widehat j & \widehat k \\ \frac{3}{2} & \frac{1}{2} & 0 \\ -\frac{1}{2} & \frac{3}{2} & -3 \end{vmatrix}

Expand the determinant: β1×β2=i^((12)(3)(0)(32))j^((32)(3)(0)(12))+k^((32)(32)(12)(12)){\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} = \widehat i \left( (\frac{1}{2})(-3) - (0)(\frac{3}{2}) \right) - \widehat j \left( (\frac{3}{2})(-3) - (0)(-\frac{1}{2}) \right) + \widehat k \left( (\frac{3}{2})(\frac{3}{2}) - (\frac{1}{2})(-\frac{1}{2}) \right) β1×β2=i^(320)j^(920)+k^(94(14)){\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} = \widehat i \left( -\frac{3}{2} - 0 \right) - \widehat j \left( -\frac{9}{2} - 0 \right) + \widehat k \left( \frac{9}{4} - (-\frac{1}{4}) \right) β1×β2=32i^+92j^+k^(94+14){\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} = -\frac{3}{2}\widehat i + \frac{9}{2}\widehat j + \widehat k \left( \frac{9}{4} + \frac{1}{4} \right) β1×β2=32i^+92j^+104k^{\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} = -\frac{3}{2}\widehat i + \frac{9}{2}\widehat j + \frac{10}{4}\widehat k β1×β2=32i^+92j^+52k^{\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} = -\frac{3}{2}\widehat i + \frac{9}{2}\widehat j + \frac{5}{2}\widehat k

Factor out 12\frac{1}{2}: β1×β2=12(3i^+9j^+5k^){\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} = \frac{1}{2}(-3\widehat i + 9\widehat j + 5\widehat k)

3. Common Mistakes & Tips

  • Interpreting the Decomposition: The given decomposition is β=β1β2\overrightarrow \beta = {\overrightarrow \beta _1} - \overrightarrow {{\beta _2}} . This is crucial. If one mistakenly assumes β=β1+β2\overrightarrow \beta = {\overrightarrow \beta _1} + \overrightarrow {{\beta _2}} , then β2\overrightarrow {{\beta _2}} will be the standard perpendicular component (vector rejection), leading to a sign difference in the final answer. Always derive β2\overrightarrow {{\beta _2}} directly from the provided equation.
  • Vector Projection Formula: Ensure the correct formula for vector projection is used, which includes multiplying by the vector a\overrightarrow{a} itself, not just its unit vector.
  • Cross Product Calculation: Double-check the signs and arithmetic during the determinant expansion for the cross product. A small error here can lead to a completely different result.

4. Summary

The problem requires decomposing β\overrightarrow \beta into two components, β1{\overrightarrow \beta _1} parallel to α\overrightarrow \alpha and β2\overrightarrow {{\beta _2}} which, when subtracted from β1{\overrightarrow \beta _1}, yields β\overrightarrow \beta. We first calculated β1{\overrightarrow \beta _1} as the vector projection of β\overrightarrow \beta onto α\overrightarrow \alpha. Then, using the given relation β=β1β2\overrightarrow \beta = {\overrightarrow \beta _1} - \overrightarrow {{\beta _2}} , we derived β2=β1β\overrightarrow {{\beta _2}} = {\overrightarrow \beta _1} - \overrightarrow \beta. Finally, we computed the cross product β1×β2{\overrightarrow \beta _1} \times \overrightarrow {{\beta _2}} using the determinant method.

The final answer is (A)\boxed{\text{(A)}}.

Practice More Vector Algebra Questions

View All Questions