In Exercises 7-10, let W be the subspace spanned by the u's, and write y as the sum of a vector in W and a vector orthogonal to W. 7. y = 3, u₁ = 5 3, U₂ = 5 1

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Chapter2: Second-order Linear Odes
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### Linear Algebra Exercises on Subspaces and Orthogonality

In **Exercises 7–10**, let \( W \) be the subspace spanned by the \( \mathbf{u} \) vectors, and express \( \mathbf{y} \) as the sum of a vector in \( W \) and a vector orthogonal to \( W \).

**Exercise 7:**

Given vectors:

\[ \mathbf{y} = \begin{bmatrix} 1 \\ 3 \\ 5 \end{bmatrix}, \quad \mathbf{u_1} = \begin{bmatrix} 1 \\ 3 \\ 5 \end{bmatrix}, \quad \mathbf{u_2} = \begin{bmatrix} 1 \\ 3 \\ -2 \end{bmatrix} \]

Find the sum representation:

\[ \mathbf{y} = \mathbf{v} + \mathbf{w} \]

where \( \mathbf{v} \in W \) and \( \mathbf{w} \perp W \).

**Exercise 8:**

Given vectors:

\[ \mathbf{y} = \begin{bmatrix} -1 \\ 4 \\ 3 \end{bmatrix}, \quad \mathbf{u_1} = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix}, \quad \mathbf{u_2} = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix} \]

Find the sum representation:

\[ \mathbf{y} = \begin{bmatrix} -1 \\ 3 \\ -2 \end{bmatrix} \]

---

In these exercises, students are asked to decompose the vector \( \mathbf{y} \) into two components: one that lies within the subspace \( W \), which is spanned by the given vectors \( \mathbf{u_1} \) and \( \mathbf{u_2} \), and one that is orthogonal to this subspace.

### Explanation

1. **Identify Subspace \( W \)**:
   - \( W \) is the subspace spanned by the vectors \( \mathbf{u_1} \) and \( \mathbf{u_2} \).

2. **Orthogonal Components**:
   - The goal is to write \( \mathbf{y
Transcribed Image Text:### Linear Algebra Exercises on Subspaces and Orthogonality In **Exercises 7–10**, let \( W \) be the subspace spanned by the \( \mathbf{u} \) vectors, and express \( \mathbf{y} \) as the sum of a vector in \( W \) and a vector orthogonal to \( W \). **Exercise 7:** Given vectors: \[ \mathbf{y} = \begin{bmatrix} 1 \\ 3 \\ 5 \end{bmatrix}, \quad \mathbf{u_1} = \begin{bmatrix} 1 \\ 3 \\ 5 \end{bmatrix}, \quad \mathbf{u_2} = \begin{bmatrix} 1 \\ 3 \\ -2 \end{bmatrix} \] Find the sum representation: \[ \mathbf{y} = \mathbf{v} + \mathbf{w} \] where \( \mathbf{v} \in W \) and \( \mathbf{w} \perp W \). **Exercise 8:** Given vectors: \[ \mathbf{y} = \begin{bmatrix} -1 \\ 4 \\ 3 \end{bmatrix}, \quad \mathbf{u_1} = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix}, \quad \mathbf{u_2} = \begin{bmatrix} 1 \\ 1 \\ 1 \end{bmatrix} \] Find the sum representation: \[ \mathbf{y} = \begin{bmatrix} -1 \\ 3 \\ -2 \end{bmatrix} \] --- In these exercises, students are asked to decompose the vector \( \mathbf{y} \) into two components: one that lies within the subspace \( W \), which is spanned by the given vectors \( \mathbf{u_1} \) and \( \mathbf{u_2} \), and one that is orthogonal to this subspace. ### Explanation 1. **Identify Subspace \( W \)**: - \( W \) is the subspace spanned by the vectors \( \mathbf{u_1} \) and \( \mathbf{u_2} \). 2. **Orthogonal Components**: - The goal is to write \( \mathbf{y
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