Let v1 vector 0 2 2 v2 vector 2 0 1 be eigenvectors of the
Let v_1 vector = [0 2 2], v_2 vector = [-2 0 1] be eigenvectors of the matrix A which correspond to the eigenvalues lambda_1 = - 1, lambda_2 = 1, and lambda_3 = 3, respectively, and let x vector = [6 -2 1]. Express x vector as a linear combination of v_1 vector, v_2 vector, and v_3 vector, and find Ax vector. x vector = v_1 vector + v_2 vector + v_3 vector. A x vector = []
![Let v_1 vector = [0 2 2], v_2 vector = [-2 0 1] be eigenvectors of the matrix A which correspond to the eigenvalues lambda_1 = - 1, lambda_2 = 1, and lambda_3 Let v_1 vector = [0 2 2], v_2 vector = [-2 0 1] be eigenvectors of the matrix A which correspond to the eigenvalues lambda_1 = - 1, lambda_2 = 1, and lambda_3](/WebImages/46/let-v1-vector-0-2-2-v2-vector-2-0-1-be-eigenvectors-of-the-1145976-1761615904-0.webp)
Solution
Let B =
0
2
-2
6
2
-2
0
-2
2
0
1
1
We will reduce B to its RREF as under:
Interchange the 1st row and the 2nd row
Multiply the 1st row by ½
Add -2 times the 1st row to the 3rd row
Multiply the 2nd row by 1/2
Add -2 times the 2nd row to the 3rd row
Multiply the 3rd row by 1/3
Add 1 times the 3rd row to the 2nd row
Add 1 times the 2nd row to the 1st row
Then the RREF of B is
1
0
0
1
0
1
0
2
0
0
1
-1
It is now apparent that x = v1+2v2-v3. Now, Ax = A(v1+2v2-v3) = Av1+2Av2-Av3=-v1+2v2-3v3 = -(0,2,2)T+2(2,-2,0)T-3(6,-2,1)T=(0,-2,-2)T+(4,-4,0)T+(-18,6,-3)T = (-14,0,-5)T.
| 0 | 2 | -2 | 6 |
| 2 | -2 | 0 | -2 |
| 2 | 0 | 1 | 1 |
![Let v_1 vector = [0 2 2], v_2 vector = [-2 0 1] be eigenvectors of the matrix A which correspond to the eigenvalues lambda_1 = - 1, lambda_2 = 1, and lambda_3 Let v_1 vector = [0 2 2], v_2 vector = [-2 0 1] be eigenvectors of the matrix A which correspond to the eigenvalues lambda_1 = - 1, lambda_2 = 1, and lambda_3](/WebImages/46/let-v1-vector-0-2-2-v2-vector-2-0-1-be-eigenvectors-of-the-1145976-1761615904-0.webp)
![Let v_1 vector = [0 2 2], v_2 vector = [-2 0 1] be eigenvectors of the matrix A which correspond to the eigenvalues lambda_1 = - 1, lambda_2 = 1, and lambda_3 Let v_1 vector = [0 2 2], v_2 vector = [-2 0 1] be eigenvectors of the matrix A which correspond to the eigenvalues lambda_1 = - 1, lambda_2 = 1, and lambda_3](/WebImages/46/let-v1-vector-0-2-2-v2-vector-2-0-1-be-eigenvectors-of-the-1145976-1761615904-1.webp)