Final answer:
To find the eigenvectors corresponding to each eigenvalue of matrix A, subtract the eigenvalue from the diagonal, solve the system (A - λI)x = 0, and determine the non-zero vectors that satisfy the equation for each eigenvalue.
Step-by-step explanation:
To find the eigenvectors for a matrix with given eigenvalues, you perform a series of steps.
- Start by subtracting each given eigenvalue λ from the diagonal entries of the matrix A, thus creating a matrix (A - λI), where I is the identity matrix.
- Next, solve the system of equations (A - λI)x = 0, which essentially means finding the null space of the matrix (A - λI).
- You do this for each eigenvalue you have. The resulting non-zero vectors x are the corresponding eigenvectors.
Let's find the eigenvectors for eigenvalues -5, 1, and 5 of the matrix A = [[ 5 0 0; 10 -5 0; 6 -6 1 ]].
For λ = -5:
(A - (-5)I) = [[ 10 0 0; 10 0 0; 6 -1 6]]
Solve for x in the system to get the eigenvector for λ = -5.
For λ = 1:
(A - 1I) = [[ 4 0 0; 10 -6 0; 6 -6 0]]
Solve for x in the system to get the eigenvector for λ = 1.
For λ = 5:
(A - 5I) = [[ 0 0 0; 10 -10 0; 6 -6 -4]]
Solve for x in the system to get the eigenvector for λ = 5.
Each solution set for x will be a basis for the eigenspace corresponding to each eigenvalue, and those vectors are the eigenvectors of matrix A.