Find a unit vector that is orthogonal to both u and = (-8, -6, 4) v = (17, -18, -1)

Calculus: Early Transcendentals
8th Edition
ISBN:9781285741550
Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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11.4

**Finding a Unit Vector Orthogonal to Two Given Vectors**

To solve the problem, we need to identify a unit vector that is orthogonal to both vectors **u** and **v**.

Given:
\[ \mathbf{u} = \langle -8, -6, 4 \rangle \]
\[ \mathbf{v} = \langle 17, -18, -1 \rangle \]

### Steps to Find the Orthogonal Vector:

1. **Compute the Cross Product** \( \mathbf{u} \times \mathbf{v} \):
   The cross product of vectors \(\mathbf{u}\) and \(\mathbf{v}\) will give a vector that is orthogonal to both. This is calculated using the determinant of a matrix formed by unit vectors and the two given vectors.

2. **Normalize the Resulting Vector**:
   Calculate the magnitude of the vector obtained from the cross product and then divide each component by this magnitude to get the unit vector.

### Details:
- **Cross Product Formula**:
  For vectors \(\mathbf{u} = \langle u_1, u_2, u_3 \rangle\) and \(\mathbf{v} = \langle v_1, v_2, v_3 \rangle\), the cross product \(\mathbf{u} \times \mathbf{v}\) is given by:

  \[
  \mathbf{u} \times \mathbf{v} = \left| \begin{matrix}
  \mathbf{i} & \mathbf{j} & \mathbf{k} \\
  u_1 & u_2 & u_3 \\
  v_1 & v_2 & v_3 
  \end{matrix} \right| 
  \]

  This expands to:
  
  \[
  (u_2 v_3 - u_3 v_2) \mathbf{i} - (u_1 v_3 - u_3 v_1) \mathbf{j} + (u_1 v_2 - u_2 v_1) \mathbf{k} 
  \]

- **Example Computation**:
  Using the vectors given: 
  \(
  \mathbf{u} = \langle -8, -6, 4 \rangle \) 
  and 
  \(
  \
Transcribed Image Text:**Finding a Unit Vector Orthogonal to Two Given Vectors** To solve the problem, we need to identify a unit vector that is orthogonal to both vectors **u** and **v**. Given: \[ \mathbf{u} = \langle -8, -6, 4 \rangle \] \[ \mathbf{v} = \langle 17, -18, -1 \rangle \] ### Steps to Find the Orthogonal Vector: 1. **Compute the Cross Product** \( \mathbf{u} \times \mathbf{v} \): The cross product of vectors \(\mathbf{u}\) and \(\mathbf{v}\) will give a vector that is orthogonal to both. This is calculated using the determinant of a matrix formed by unit vectors and the two given vectors. 2. **Normalize the Resulting Vector**: Calculate the magnitude of the vector obtained from the cross product and then divide each component by this magnitude to get the unit vector. ### Details: - **Cross Product Formula**: For vectors \(\mathbf{u} = \langle u_1, u_2, u_3 \rangle\) and \(\mathbf{v} = \langle v_1, v_2, v_3 \rangle\), the cross product \(\mathbf{u} \times \mathbf{v}\) is given by: \[ \mathbf{u} \times \mathbf{v} = \left| \begin{matrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ u_1 & u_2 & u_3 \\ v_1 & v_2 & v_3 \end{matrix} \right| \] This expands to: \[ (u_2 v_3 - u_3 v_2) \mathbf{i} - (u_1 v_3 - u_3 v_1) \mathbf{j} + (u_1 v_2 - u_2 v_1) \mathbf{k} \] - **Example Computation**: Using the vectors given: \( \mathbf{u} = \langle -8, -6, 4 \rangle \) and \( \
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