Question:

Let $\vec{u}=\hat{i}-\hat{j}-2 \hat{k}, \vec{v}=2 \hat{i}+\hat{j}-\hat{k}, \vec{v} \cdot \vec{w}=2$ and $\vec{v} \times \vec{w}=\vec{u}+\lambda \vec{v}$.  Then $\vec{u} \cdot \vec{w}$ is equal to

Updated On: Jul 1, 2025
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  • $\frac{3}{2}$
  • $-\frac{2}{3}$
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The Correct Option is A

Approach Solution - 1



Taking dot with


Taking dot with in (1)



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Approach Solution -2

Given: \[ \mathbf{u} = (1, -1, -2), \quad \mathbf{v} = (2, 1, -1), \quad \mathbf{w} = 2. \] The vector equation is: \[ \mathbf{v} \times \mathbf{w} = \mathbf{u} + \lambda \mathbf{v} \quad \text{(1)}. \] Step 1: Dot product with \(\mathbf{w}\) Taking the dot product of both sides of equation (1) with \(\mathbf{w}\): \[ \mathbf{w} \cdot (\mathbf{v} \times \mathbf{w}) = \mathbf{w} \cdot \mathbf{u} + \lambda (\mathbf{w} \cdot \mathbf{v}). \] Using the property \(\mathbf{w} \cdot (\mathbf{v} \times \mathbf{w}) = 0\) (a vector dotted with its cross product is always zero): \[ 0 = \mathbf{w} \cdot \mathbf{u} + \lambda (\mathbf{w} \cdot \mathbf{v}). \] Substitute \(\mathbf{w} \cdot \mathbf{v} = 2\) (given): \[ 0 = \mathbf{w} \cdot \mathbf{u} + 2\lambda. \] Thus: \[ \mathbf{w} \cdot \mathbf{u} = -2\lambda. \] Step 2: Dot product with \(\mathbf{v}\) Taking the dot product of both sides of equation (1) with \(\mathbf{v}\): \[ \mathbf{v} \cdot (\mathbf{v} \times \mathbf{w}) = \mathbf{v} \cdot \mathbf{u} + \lambda (\mathbf{v} \cdot \mathbf{v}). \] Using the property \(\mathbf{v} \cdot (\mathbf{v} \times \mathbf{w}) = 0\): \[ 0 = \mathbf{v} \cdot \mathbf{u} + \lambda (\mathbf{v} \cdot \mathbf{v}). \] Substitute \(\mathbf{v} \cdot \mathbf{v} = 6\) and calculate \(\mathbf{v} \cdot \mathbf{u} = 2 \cdot 1 + 1 \cdot (-1) + (-1) \cdot (-2) = 2 - 1 + 2 = 3\): \[ 0 = 3 + 6\lambda. \] Solve for \(\lambda\): \[ \lambda = -\frac{1}{2}. \] Step 3: Calculate \(\mathbf{u} \cdot \mathbf{w}\) Substitute \(\lambda = -\frac{1}{2}\) into \(\mathbf{w} \cdot \mathbf{u} = -2\lambda\): \[ \mathbf{w} \cdot \mathbf{u} = -2 \cdot \left(-\frac{1}{2}\right) = 1. \] Thus: \[ \mathbf{u} \cdot \mathbf{w} = 1. \]

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Concepts Used:

Vector Algebra

A vector is an object which has both magnitudes and direction. It is usually represented by an arrow which shows the direction(→) and its length shows the magnitude. The arrow which indicates the vector has an arrowhead and its opposite end is the tail. It is denoted as

The magnitude of the vector is represented as |V|. Two vectors are said to be equal if they have equal magnitudes and equal direction.

Vector Algebra Operations:

Arithmetic operations such as addition, subtraction, multiplication on vectors. However, in the case of multiplication, vectors have two terminologies, such as dot product and cross product.