Perform four iterations of the inverse power method to compute the smallest
eigenvalue in magnitude, and the corresponding eigenvector of the matrix A given below above.
A=1 −1 1
2 0 3
1 4 −1
Note that the approximations appear to be approaching scalar multiples of
⎣⎡1−14−19⎦⎤
With x=(1,−13.7,−18.7) as the approximation of a dominant eigenvector of A , use the Rayleigh quotient to obtain an approximation of the dominant eigenvalue of A . First compute the product AxAx=⎣⎡121−10413−1⎦⎤⎣⎡1−13.7−18.7⎦⎤=⎣⎡−4−54.1−35.1⎦⎤
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