-1 4 and v = 2 u = 2 (a) Are u and v orthogonal? (b) What is the distance between u and v? (c) Find a unit vector in the direction of u. (;)-

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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### Vector Analysis Problem Set

**(1) Let**

\[
\mathbf{u} = \begin{pmatrix} -1 \\ 2 \end{pmatrix} \quad \text{and} \quad \mathbf{v} = \begin{pmatrix} 4 \\ 2 \end{pmatrix}.
\]

**Questions:**

(a) Are **u** and **v** orthogonal?

(b) What is the distance between **u** and **v**?

(c) Find a unit vector in the direction of **u**.

---

### Explanation

In this problem, we are given two vectors in two-dimensional space and are asked to perform several operations:

1. **Orthogonality Check:**
   - Two vectors are orthogonal if their dot product is zero. Compute \(\mathbf{u} \cdot \mathbf{v}\).

2. **Distance Calculation:**
   - The distance between two vectors is given by the Euclidean distance formula: \(\text{Distance} = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}\).

3. **Unit Vector:**
   - A unit vector in the direction of \(\mathbf{u}\) is found by dividing each component of \(\mathbf{u}\) by its magnitude: \(\|\mathbf{u}\|\). The magnitude of a vector \(\mathbf{u} = \begin{pmatrix} x \\ y \end{pmatrix}\) is \(\sqrt{x^2 + y^2}\).

Use these principles to solve the given tasks related to vectors \(\mathbf{u}\) and \(\mathbf{v}\).
Transcribed Image Text:### Vector Analysis Problem Set **(1) Let** \[ \mathbf{u} = \begin{pmatrix} -1 \\ 2 \end{pmatrix} \quad \text{and} \quad \mathbf{v} = \begin{pmatrix} 4 \\ 2 \end{pmatrix}. \] **Questions:** (a) Are **u** and **v** orthogonal? (b) What is the distance between **u** and **v**? (c) Find a unit vector in the direction of **u**. --- ### Explanation In this problem, we are given two vectors in two-dimensional space and are asked to perform several operations: 1. **Orthogonality Check:** - Two vectors are orthogonal if their dot product is zero. Compute \(\mathbf{u} \cdot \mathbf{v}\). 2. **Distance Calculation:** - The distance between two vectors is given by the Euclidean distance formula: \(\text{Distance} = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}\). 3. **Unit Vector:** - A unit vector in the direction of \(\mathbf{u}\) is found by dividing each component of \(\mathbf{u}\) by its magnitude: \(\|\mathbf{u}\|\). The magnitude of a vector \(\mathbf{u} = \begin{pmatrix} x \\ y \end{pmatrix}\) is \(\sqrt{x^2 + y^2}\). Use these principles to solve the given tasks related to vectors \(\mathbf{u}\) and \(\mathbf{v}\).
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