Here are four matrices for you to practice finding eigenvalues and eigenvectors:

Matrix 1:

$A_1 = \begin{pmatrix} 4 & 1 \\ 2 & 3 \end{pmatrix}$

Matrix 2:

$A_2 = \begin{pmatrix} 6 & -2 & 0 \\ -2 & 3 & 1 \\ 0 & 1 & 4 \end{pmatrix}$

Matrix 3:

$A_3 = \begin{pmatrix} 1 & 3 & 3 \\ 3 & 1 & -3 \\ 3 & -3 & 1 \end{pmatrix}$

Matrix 4:

$A_4 = \begin{pmatrix} 2 & 2 & 1 & 1 \\ 2 & 3 & 2 & 1 \\ 1 & 2 & 3 & 2 \\ 1 & 1 & 2 & 3 \end{pmatrix}$

Each matrix has its unique set of eigenvalues and eigenvectors. Once you've solved them, feel free to check back with me if you want to verify your results or need further explanations.

Do you want details or have any questions?

Here are 5 related questions to practice:

1. What is the process for finding the eigenvalues of a matrix?
2. How do eigenvectors relate to the eigenvalues of a matrix?
3. How can the characteristic polynomial be used to find eigenvalues?
4. What is the geometric interpretation of eigenvectors and eigenvalues?
5. How can diagonalization help in simplifying matrix operations using eigenvalues and eigenvectors?

Tip: The determinant of $\lambda I - A$ where $\lambda$ is the eigenvalue and $A$ is the matrix, must equal zero.