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;