In: Math
2. Find all eigenvalues and corresponding linearly independent eigenvectors of A = [2 0 3 4] (Its a 2x2 matrix)
4. Find all eigenvalues and corresponding linearly independent eigenvectors of A = [1 0 1 0 2 3 0 0 3] (Its's a 3x3 matrix)
6. Find all eigenvalues and corresponding eigenvectors of A = 1 2 3 0 1 2 0 0 1 .(Its a 3x3 matrix)
We have to find here the eigenvalues and their corresponding eigenvectors;
__Part 1)__
Given matrix is;

Eigenvalues can be find by subtracting "
"
from from the diagonal of the given matrix.


Now finding the determinant of the matrix we get;


Hence;


Now we will find the eigenvectors of the obtained eigenvalues;
When 



We get;



Taking [
]
we get;

Therefore when eigenvalue is 2
eigenvector is;

Now finding eigenvector when



Hence we get;


If we take
then
Therefore eigevectors will be;

Hence;
When eigenvalues is 2;
eigenvector is;

When eigenvalue is 4;
eigenvector is;

__Part 2)__
Given matrix is;

Finding eigenvalue of the given matrix;


Determinant will be;






Now finding
eigenvectors when 



Hence we get;


If we take
We get;

Therefore eigenvectors will be;

Now finding
eigenvectors when 



Hence we get;


If we take
then, we get;

Therefore eigenvector will be;

Now finding
eigenvectors when 



Hence we get;

and

If we take [
]
we get;


And;


Therefore eigenvector will be;

Hence we can write here;
When eigenvalues is 1;
eigenvector is;

When eigenvalue is 2;
eigenvector is;

When eigenvalue is 3;
eigenvector is;

__Part 3)__
Given matrix is;

Finding eigenvalue of the given matrix;


Hence determinant will be;





Here all the eigenvalues are same.So eigenvector will be only one.
Now finding
eigenvectors when 



Hence we get;

and

If we take [
]
then, we get;

Therefore eigenvector will be;
