Find the orthogonal projection y of the vector y = 6 -2 4 2 onto the subspace W = Span u= 2 2

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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### Orthogonal Complements

### Section 7.5.2: Orthogonal Projections

#### Challenge Activity

**Problem Statement:**
Find the orthogonal projection \(\hat{y}\) of the vector \(\mathbf{y} = \begin{bmatrix} 6 \\ -2 \\ 2 \end{bmatrix}\) onto the subspace \(W = \text{Span} \left\{ \begin{bmatrix} 1 \\ 1 \\ 2 \end{bmatrix} \right\} \).

\[
\hat{y} = 
\begin{bmatrix} 
\text{Enter value 1} \\ 
\text{Enter value 2} \\ 
\text{Enter value 3} 
\end{bmatrix}
\]

**Input Fields:**
- Enter value 1: Textbox
- Enter value 2: Textbox
- Enter value 3: Textbox

**Action Buttons:**
- **Check:** Verifies the entered values.
- **Next:** Proceeds to the next step or problem.

#### Diagram Explanation:
The problem includes a vector \(\mathbf{y}\) represented in a column matrix format and a subspace \(W\) defined by the span of a single vector. The orthogonal projection of \(\mathbf{y}\) onto this subspace needs to be calculated. There are input boxes provided to allow the user to enter the components of the projected vector \(\hat{y}\).

### The Fundamental Theorem of Linear Algebra

The theorem below states which of the four fundamental subspaces associated with matrix \(A \in \mathbb{R}^{m \times n}\) are orthogonal.

**Theorem 7.5.6: The Fundamental Theorem of Linear Algebra**

---

**Feedback Section:** (Interactive)

---

This transcription includes a detailed description of the text and the structure of the problem. The vector \(\mathbf{y}\), the basis vector for subspace \(W\), the input boxes for the projection vector \(\hat{y}\), and the action buttons are clearly described.
Transcribed Image Text:### Orthogonal Complements ### Section 7.5.2: Orthogonal Projections #### Challenge Activity **Problem Statement:** Find the orthogonal projection \(\hat{y}\) of the vector \(\mathbf{y} = \begin{bmatrix} 6 \\ -2 \\ 2 \end{bmatrix}\) onto the subspace \(W = \text{Span} \left\{ \begin{bmatrix} 1 \\ 1 \\ 2 \end{bmatrix} \right\} \). \[ \hat{y} = \begin{bmatrix} \text{Enter value 1} \\ \text{Enter value 2} \\ \text{Enter value 3} \end{bmatrix} \] **Input Fields:** - Enter value 1: Textbox - Enter value 2: Textbox - Enter value 3: Textbox **Action Buttons:** - **Check:** Verifies the entered values. - **Next:** Proceeds to the next step or problem. #### Diagram Explanation: The problem includes a vector \(\mathbf{y}\) represented in a column matrix format and a subspace \(W\) defined by the span of a single vector. The orthogonal projection of \(\mathbf{y}\) onto this subspace needs to be calculated. There are input boxes provided to allow the user to enter the components of the projected vector \(\hat{y}\). ### The Fundamental Theorem of Linear Algebra The theorem below states which of the four fundamental subspaces associated with matrix \(A \in \mathbb{R}^{m \times n}\) are orthogonal. **Theorem 7.5.6: The Fundamental Theorem of Linear Algebra** --- **Feedback Section:** (Interactive) --- This transcription includes a detailed description of the text and the structure of the problem. The vector \(\mathbf{y}\), the basis vector for subspace \(W\), the input boxes for the projection vector \(\hat{y}\), and the action buttons are clearly described.
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