Chapter 9: Problem 26
Find the component of \(u\) along v. $$\mathbf{u}=\langle- 3,5\rangle, \quad \mathbf{v}=\langle 1 / \sqrt{2}, 1 / \sqrt{2}\rangle$$
Short Answer
Expert verified
The component of \( \mathbf{u} \) along \( \mathbf{v} \) is \( \sqrt{2} \).
Step by step solution
01
Understand Dot Product
The component of one vector along another is calculated using the dot product. For two vectors \( \mathbf{a} \) and \( \mathbf{b} \), the dot product is \( \mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2 \) where \( a_1, a_2 \) and \( b_1, b_2 \) are components of \( \mathbf{a} \) and \( \mathbf{b} \) respectively.
02
Find Dot Product of u and v
Calculate the dot product of vectors \( \mathbf{u} = \langle -3, 5 \rangle \) and \( \mathbf{v} = \langle \frac{1}{\sqrt{2}}, \frac{1}{\sqrt{2}} \rangle \):\[\mathbf{u} \cdot \mathbf{v} = (-3) \cdot \frac{1}{\sqrt{2}} + 5 \cdot \frac{1}{\sqrt{2}} = \frac{-3}{\sqrt{2}} + \frac{5}{\sqrt{2}} = \frac{2}{\sqrt{2}}\]
03
Calculate Magnitude of v
Find the magnitude of vector \( \mathbf{v} \), denoted as \( \|\mathbf{v}\| \):\[\|\mathbf{v}\| = \sqrt{\left(\frac{1}{\sqrt{2}}\right)^2 + \left(\frac{1}{\sqrt{2}}\right)^2} = \sqrt{\frac{1}{2} + \frac{1}{2}} = \sqrt{1} = 1\]
04
Compute Component of u Along v
The component of \( \mathbf{u} \) along \( \mathbf{v} \), denoted as \( \text{comp}_{\mathbf{v}} \mathbf{u} \), is given by:\[\text{comp}_{\mathbf{v}} \mathbf{u} = \frac{\mathbf{u} \cdot \mathbf{v}}{\|\mathbf{v}\|} = \frac{\frac{2}{\sqrt{2}}}{1} = \frac{2}{\sqrt{2}}\]
05
Simplify the Result
Simplify \( \frac{2}{\sqrt{2}} \) to a simpler form:\[\frac{2}{\sqrt{2}} = \frac{2 \cdot \sqrt{2}}{2} = \sqrt{2}\]
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Dot Product
The dot product is a fundamental operation in vector algebra that helps determine the relationship between two vectors. For vectors \( \mathbf{a} = \langle a_1, a_2 \rangle \) and \( \mathbf{b} = \langle b_1, b_2 \rangle \), the dot product is computed as \( \mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2 \). This operation has crucial applications because:
Understanding the geometric and algebraic interpretations of the dot product helps in grasping more complex vector operations.
- The result is a scalar, not a vector.
- If the dot product is zero, the vectors are orthogonal, meaning they are perpendicular in a geometric context.
- The dot product can be used to find the component of one vector in the direction of another, a common usage in physics and engineering.
Understanding the geometric and algebraic interpretations of the dot product helps in grasping more complex vector operations.
Magnitude of a Vector
The magnitude (or length) of a vector is a measure of its size. For a two-dimensional vector \( \mathbf{a} = \langle a_1, a_2 \rangle \), its magnitude is calculated using the Pythagorean theorem:\[\| \mathbf{a} \| = \sqrt{a_1^2 + a_2^2}\]Some important points about the magnitude of a vector are:
- It is always a non-negative quantity.
- A vector's magnitude is zero if and only if the vector itself is the zero vector.
- It represents the distance from the origin to the point \( \langle a_1, a_2 \rangle \) in a Cartesian coordinate system.
Simplification of Square Roots
Square roots often appear in vector and algebraic calculations. Simplifying them is crucial for clarity and precision. Here's a key approach:To simplify the fraction \( \frac{a}{\sqrt{b}} \), multiply the numerator and the denominator by \( \sqrt{b} \). This process is called rationalizing the denominator:\[\frac{a}{\sqrt{b}} = \frac{a \cdot \sqrt{b}}{b}\]Important aspects of simplification include:
- It makes expressions easier to manage and more compact.
- Reduces calculation errors in further mathematical operations.
- Ensures results are presentable and understandable, particularly in real applications like physics.