Let -8 0.5] -8 -3 Find an invertible matrix X and a diagonal matrix D such that X-¹AX = D. 1.88 88 A = X = D=

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Chapter2: Second-order Linear Odes
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### Matrix Diagonalization Exercise

Given matrix:
\[A = \begin{bmatrix} -8 & 0.5 \\ -8 & -3 \end{bmatrix}\]

Find an invertible matrix \(X\) and a diagonal matrix \(D\) such that:
\[X^{-1}AX = D\]

Fill in the appropriate values for matrices \(X\) and \(D\) below:

\[X = \begin{bmatrix} 
\Box & \Box \\
\Box & \Box
\end{bmatrix}\]

\[D = \begin{bmatrix} 
\Box & 0 \\
0 & \Box
\end{bmatrix}\]

In this exercise, we look to diagonalize the given matrix \(A\). This involves finding an invertible matrix \(X\) and a diagonal matrix \(D\) such that the similarity transformation \(X^{-1}AX\) yields the diagonal matrix \(D\). This is a common problem in linear algebra that helps in simplifying matrix computations, such as computing matrix powers.

Hints:
- To find \(X\) and \(D\), you may need to compute the eigenvalues and eigenvectors of the matrix \(A\).
- The diagonal elements of \(D\) are the eigenvalues of \(A\).
- The columns of \(X\) are the corresponding eigenvectors of \(A\).
Transcribed Image Text:### Matrix Diagonalization Exercise Given matrix: \[A = \begin{bmatrix} -8 & 0.5 \\ -8 & -3 \end{bmatrix}\] Find an invertible matrix \(X\) and a diagonal matrix \(D\) such that: \[X^{-1}AX = D\] Fill in the appropriate values for matrices \(X\) and \(D\) below: \[X = \begin{bmatrix} \Box & \Box \\ \Box & \Box \end{bmatrix}\] \[D = \begin{bmatrix} \Box & 0 \\ 0 & \Box \end{bmatrix}\] In this exercise, we look to diagonalize the given matrix \(A\). This involves finding an invertible matrix \(X\) and a diagonal matrix \(D\) such that the similarity transformation \(X^{-1}AX\) yields the diagonal matrix \(D\). This is a common problem in linear algebra that helps in simplifying matrix computations, such as computing matrix powers. Hints: - To find \(X\) and \(D\), you may need to compute the eigenvalues and eigenvectors of the matrix \(A\). - The diagonal elements of \(D\) are the eigenvalues of \(A\). - The columns of \(X\) are the corresponding eigenvectors of \(A\).
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