Question 6.2.4: For the matrix A given in Example 1, find the eigenvalue tha...

For the matrix A given in Example 1, find the eigenvalue that is closest to c = 4.

The blue check mark means that this solution has been answered and checked by an expert. This guarantees that the final answer is accurate.
Learn more on how we answer questions.

We start by setting

B=A-4 I_5=\left[\begin{array}{rrrrr}241 & -254 & -252 & -46 & -224 \\161 & -172 & -174 & -32 & -148 \\-39 & 40 & 41 & 7 & 38 \\27 & -28 & -32 & -10 & -26 \\110 & -113 & -110 & -21 & -105\end{array}\right]

Now we apply the Inverse Power Method to B, starting out with the vector x_0 = (5, 4, 3, 2, 1). Table 6 includes every fifth iteration.

We can see that λ = 0.5 is an eigenvalue for B^{−1}, so that λ = 2 is an eigenvalue for B. By shifting back, we find that λ4 = 2 + 4 = 6 is an eigenvalue for A, with associated eigenvector u = (1, 0.5, 0, 0, 0.5).We check this by computing

A u=\left[\begin{array}{rrrrr}245 & -254 & -252 & -46 & -224 \\161 & -168 & -174 & -32 & -148 \\-39 & 40 & 45 & 7 & 38 \\27 & -28 & -32 & -6 & -26 \\110 & -113 & -110 & -21 & -101\end{array}\right]\left[\begin{array}{c}1.0 \\0.5 \\0 \\0 \\0.5\end{array}\right]=\left[\begin{array}{l}6 \\3 \\0 \\0 \\3\end{array}\right]=6 u

k x_k s_k
5 (1.0000, 0.5363, −0.0292, 0.0141, 0.4931) 0.9416
10 (1.0000, 0.4936, 0.0051, −0.0026, 0.5013) 0.4616
15 (1.0000, 0.5008, −0.0006, 0.0003, 0.4998) 0.5053
20 (1.0000, 0.4999, 0.0001, 0.0000, 0.5000) 0.4993
25 (1.0000, 0.5000, 0.0000, 0.0000, 0.5000) 0.5001
30 (1.0000, 0.5000, 0.0000, 0.0000, 0.5000) 0.5000
35 (1.0000, 0.5000, 0.0000, 0.0000, 0.5000) 0.5000
Table 6 The Shifted Inverse PowerMethod (Example 4)

Related Answered Questions

Question: 6.2.3

Verified Answer:

Here we apply the Power Method to A^{-1}=\f...
Question: 6.1.8

Verified Answer:

From the Big Theorem, Version 8, λ = 0 is an eigen...
Question: 6.1.7

Verified Answer:

The characteristic polynomial of A is \oper...
Question: 6.1.6

Verified Answer:

We start out by finding the eigenvalues for A by c...
Question: 6.1.5

Verified Answer:

We determine the eigenvalues of A by calculating t...
Question: 6.1.4

Verified Answer:

We start by finding the eigenvalues of A by comput...
Question: 6.1.3

Verified Answer:

Our strategy is to determine the values of λ that ...