-1 onto the line through 4 -3 and the origin. Compute the orthogonal projection of The orthogonal projection is

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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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### Orthogonal Projection Problem

**Problem Statement:**
Compute the orthogonal projection of \(\begin{bmatrix} -1 \\ 4 \end{bmatrix}\) onto the line through \(\begin{bmatrix} -3 \\ 5 \end{bmatrix}\) and the origin.

**Solution:**

The orthogonal projection is \(\begin{bmatrix} \boxed{} \\ \boxed{} \end{bmatrix}\).

Enter your answer in the edit fields and then click "Check Answer."

**Note:**
For computing the orthogonal projection of a vector \(\mathbf{a}\) onto another vector \(\mathbf{b}\), use the formula:

\[
\text{proj}_{\mathbf{b}} \mathbf{a} = \frac{\mathbf{a} \cdot \mathbf{b}}{\mathbf{b} \cdot \mathbf{b}} \mathbf{b}
\]

where \(\mathbf{a} \cdot \mathbf{b}\) is the dot product of vectors \(\mathbf{a}\) and \(\mathbf{b}\). 

### Instructions:
1. Calculate the dot product of the vectors.
2. Find the magnitude squared of vector \(\mathbf{b}\).
3. Use the projection formula to find the result.
4. Fill in the boxes provided with the correct values.

**Diagram and Explanation:**
(In this case, there are no diagrams provided. An explanation of steps and formulae is included above.)

After computing, enter your answers and click "Check Answer" to verify.

### Example Calculation:
Given:
\(\mathbf{a} = \begin{bmatrix} -1 \\ 4 \end{bmatrix}, \mathbf{b} = \begin{bmatrix} -3 \\ 5 \end{bmatrix}\)

1. Compute the dot product \(\mathbf{a} \cdot \mathbf{b}\):
\[
\mathbf{a} \cdot \mathbf{b} = (-1)(-3) + (4)(5) = 3 + 20 = 23
\]

2. Compute \(\mathbf{b} \cdot \mathbf{b}\):
\[
\mathbf{b} \cdot \mathbf{b} = (-3)^2 + 5^2 = 9 + 25 = 34
\]

3. Use the projection
Transcribed Image Text:### Orthogonal Projection Problem **Problem Statement:** Compute the orthogonal projection of \(\begin{bmatrix} -1 \\ 4 \end{bmatrix}\) onto the line through \(\begin{bmatrix} -3 \\ 5 \end{bmatrix}\) and the origin. **Solution:** The orthogonal projection is \(\begin{bmatrix} \boxed{} \\ \boxed{} \end{bmatrix}\). Enter your answer in the edit fields and then click "Check Answer." **Note:** For computing the orthogonal projection of a vector \(\mathbf{a}\) onto another vector \(\mathbf{b}\), use the formula: \[ \text{proj}_{\mathbf{b}} \mathbf{a} = \frac{\mathbf{a} \cdot \mathbf{b}}{\mathbf{b} \cdot \mathbf{b}} \mathbf{b} \] where \(\mathbf{a} \cdot \mathbf{b}\) is the dot product of vectors \(\mathbf{a}\) and \(\mathbf{b}\). ### Instructions: 1. Calculate the dot product of the vectors. 2. Find the magnitude squared of vector \(\mathbf{b}\). 3. Use the projection formula to find the result. 4. Fill in the boxes provided with the correct values. **Diagram and Explanation:** (In this case, there are no diagrams provided. An explanation of steps and formulae is included above.) After computing, enter your answers and click "Check Answer" to verify. ### Example Calculation: Given: \(\mathbf{a} = \begin{bmatrix} -1 \\ 4 \end{bmatrix}, \mathbf{b} = \begin{bmatrix} -3 \\ 5 \end{bmatrix}\) 1. Compute the dot product \(\mathbf{a} \cdot \mathbf{b}\): \[ \mathbf{a} \cdot \mathbf{b} = (-1)(-3) + (4)(5) = 3 + 20 = 23 \] 2. Compute \(\mathbf{b} \cdot \mathbf{b}\): \[ \mathbf{b} \cdot \mathbf{b} = (-3)^2 + 5^2 = 9 + 25 = 34 \] 3. Use the projection
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