2. The matrix A has eigenvalues -2,-2, and 1. Find 3 linearly independent eigenvec- tors for A. Show enough work to show you know how to do this problem by hand. 3 3

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Please help with questions 2 and 3.

### Linear Algebra: Eigenvalues and Diagonalization

#### Problem 2
The matrix \( A \) has eigenvalues \(-2\), \(-2\), and \(1\). Find 3 linearly independent eigenvectors for \( A \). Show enough work to demonstrate your understanding of how to solve this problem by hand.

The matrix \( A \) is given by:
\[ 
A = \begin{bmatrix}
1 & 3 & 3 \\
-3 & -5 & -3 \\
3 & 3 & 1
\end{bmatrix}
\]

#### Solution Approach:
1. **Step 1: Eigenvalue Calculation:**
    - The eigenvalues are provided: \(-2\), \(-2\), and \(1\).

2. **Step 2: Eigenvector Calculation for \( \lambda = -2 \):**
    - Solve \((A - (-2)I) \mathbf{v} = 0\) to find the eigenvectors associated with \( \lambda = -2 \).

3. **Step 3: Eigenvector Calculation for \( \lambda = 1 \):**
    - Solve \((A - I) \mathbf{v} = 0\) to find the eigenvectors associated with \( \lambda = 1 \).

#### Problem 3
Diagonalize the matrix in part 1a. Again, show enough work to demonstrate your understanding of how to solve this problem by hand.

#### Solution Approach:
1. **Step 1: Matrix of Eigenvectors \( P \):**
   - Construct a matrix \( P \) where each column is an eigenvector of \( A \).

2. **Step 2: Diagonal Matrix \( D \):**
   - Construct the diagonal matrix \( D \), where the diagonal elements are the eigenvalues of \( A \).

3. **Step 3: Verification:**
   - Verify that \( A = PDP^{-1} \).

Ensure to demonstrate each step clearly and provide calculations to show your method and understanding.
Transcribed Image Text:### Linear Algebra: Eigenvalues and Diagonalization #### Problem 2 The matrix \( A \) has eigenvalues \(-2\), \(-2\), and \(1\). Find 3 linearly independent eigenvectors for \( A \). Show enough work to demonstrate your understanding of how to solve this problem by hand. The matrix \( A \) is given by: \[ A = \begin{bmatrix} 1 & 3 & 3 \\ -3 & -5 & -3 \\ 3 & 3 & 1 \end{bmatrix} \] #### Solution Approach: 1. **Step 1: Eigenvalue Calculation:** - The eigenvalues are provided: \(-2\), \(-2\), and \(1\). 2. **Step 2: Eigenvector Calculation for \( \lambda = -2 \):** - Solve \((A - (-2)I) \mathbf{v} = 0\) to find the eigenvectors associated with \( \lambda = -2 \). 3. **Step 3: Eigenvector Calculation for \( \lambda = 1 \):** - Solve \((A - I) \mathbf{v} = 0\) to find the eigenvectors associated with \( \lambda = 1 \). #### Problem 3 Diagonalize the matrix in part 1a. Again, show enough work to demonstrate your understanding of how to solve this problem by hand. #### Solution Approach: 1. **Step 1: Matrix of Eigenvectors \( P \):** - Construct a matrix \( P \) where each column is an eigenvector of \( A \). 2. **Step 2: Diagonal Matrix \( D \):** - Construct the diagonal matrix \( D \), where the diagonal elements are the eigenvalues of \( A \). 3. **Step 3: Verification:** - Verify that \( A = PDP^{-1} \). Ensure to demonstrate each step clearly and provide calculations to show your method and understanding.
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