Exercises¶
1. Blocks and Diagonalization
Suppose \(A\) is diagonalizable as \(S \Lambda S^{-1}\). Diagonalize the block matrix
\[
\begin{aligned}
B = \begin{bmatrix}
A &0\newline 0 &2A
\end{bmatrix}
\end{aligned}
\]
and find its eigenvalues and eigenvectors.
Solution
We break \(B\) into three component block matrices made up of \(S\), \(\Lambda\), and \(S^{-1}\).
\[
\begin{aligned}
B = \begin{bmatrix}
A &0\newline 0 &2A
\end{bmatrix} =
\begin{bmatrix}
S\Lambda S^{-1} &0\newline 0 &2S\Lambda S^{-1}
\end{bmatrix} =
\begin{bmatrix}
S &0\newline 0 &S
\end{bmatrix}
\begin{bmatrix}
\Lambda &0\newline 0 &2\Lambda
\end{bmatrix}
\begin{bmatrix}
S^{-1} &0\newline 0 &S^{-1}
\end{bmatrix}
\end{aligned}
\]
We can verify that the above multiplications give back the original block matrix \(B\). Further,
\[
\begin{aligned}
\begin{bmatrix}
S &0\newline 0 &S
\end{bmatrix}
\begin{bmatrix}
S^{-1} &0\newline 0 &S^{-1}
\end{bmatrix} =
\begin{bmatrix}
I &0\newline 0 &I
\end{bmatrix} = I_{2n}
\end{aligned}
\]
Hence, the above form is the correct diagonalized form of \(B\) with the eigenvectors
\[
\begin{aligned}
\begin{bmatrix}
S &0\newline 0 &S
\end{bmatrix}
\end{aligned}
\]
and eigenvalues \((\lambda, 2\lambda)\) where \(\lambda\) are all the diagonal entries of \(\Lambda\) (eigenvalues of \(A\)).