The matrix A has eigenvalues λ = 1, 2, 3, 4. Is B -4 555 -6 2 6 6 -7 0 3 7 -8 5 5 9 = -3 55 5 -6 3 6 6 -7 0 4 7 -8 5 5 10 diagonalizable? Without calculating eigenvectors or eigenvalues, explain why or why not (you will lose points if you calculate eigenvectors or eigenvalues).

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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**Matrix Diagonalization Task**

Consider the matrix 

\[ A = \begin{bmatrix} -4 & 5 & 5 & 5 \\ -6 & 2 & 6 & 6 \\ -7 & 0 & 3 & 7 \\ -8 & 5 & 5 & 9 \end{bmatrix} \]

which has eigenvalues \(\lambda = 1, 2, 3, 4\).

Now, examine the matrix 

\[ B = \begin{bmatrix} -3 & 5 & 5 & 5 \\ -6 & 3 & 6 & 6 \\ -7 & 0 & 4 & 7 \\ -8 & 5 & 5 & 10 \end{bmatrix} \]

Is matrix \(B\) diagonalizable? Without calculating eigenvectors or eigenvalues, explain why or why not (note: you will lose points if you calculate eigenvectors or eigenvalues).

**Explanation Task:**

To determine if matrix \(B\) is diagonalizable, consider the properties it should possess related to its eigenvalues and the associated algebraic and geometric multiplicities. You may also explore other mathematical relationships or properties to justify your reasoning without direct computation of eigenvalues or eigenvectors.
Transcribed Image Text:**Matrix Diagonalization Task** Consider the matrix \[ A = \begin{bmatrix} -4 & 5 & 5 & 5 \\ -6 & 2 & 6 & 6 \\ -7 & 0 & 3 & 7 \\ -8 & 5 & 5 & 9 \end{bmatrix} \] which has eigenvalues \(\lambda = 1, 2, 3, 4\). Now, examine the matrix \[ B = \begin{bmatrix} -3 & 5 & 5 & 5 \\ -6 & 3 & 6 & 6 \\ -7 & 0 & 4 & 7 \\ -8 & 5 & 5 & 10 \end{bmatrix} \] Is matrix \(B\) diagonalizable? Without calculating eigenvectors or eigenvalues, explain why or why not (note: you will lose points if you calculate eigenvectors or eigenvalues). **Explanation Task:** To determine if matrix \(B\) is diagonalizable, consider the properties it should possess related to its eigenvalues and the associated algebraic and geometric multiplicities. You may also explore other mathematical relationships or properties to justify your reasoning without direct computation of eigenvalues or eigenvectors.
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