Solution CB.C40 Robert Beezer
Begin with a matrix representation of $R$, any matrix representation, but use the same basis for both instances of $S_{22}$. We will choose a basis that makes it easy to compute vector representations in $S_{22}$. \begin{equation*} B=\set{ \begin{bmatrix} 1 & 0 \\ 0 & 0 \end{bmatrix},\, \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix},\, \begin{bmatrix} 0 & 0 \\ 0 & 1 \end{bmatrix} } \end{equation*} Then the resulting matrix representation of $R$ (Definition MR) is \begin{equation*} \matrixrep{R}{B}{B}= \begin{bmatrix} -5 & 2 & -3 \\ -12 & 5 & -6 \\ 6 & -2 & 4 \end{bmatrix} \end{equation*} Now, compute the eigenvalues and eigenvectors of this matrix, with the goal of diagonalizing the matrix (Theorem DC), \begin{align*} \lambda&=2 & \eigenspace{\matrixrep{R}{B}{B}}{2}&=\spn{\set{\colvector{-1\\-2\\1}}}\\ \lambda&=1 & \eigenspace{\matrixrep{R}{B}{B}}{1}&=\spn{\set{\colvector{-1\\0\\2},\,\colvector{1\\3\\0}}}\\ \end{align*} The three vectors that occur as basis elements for these eigenspaces will together form a linearly independent set (check this!). So these column vectors may be employed in a matrix that will diagonalize the matrix representation. If we “un-coordinatize” these three column vectors relative to the basis $B$, we will find three linearly independent elements of $S_{22}$ that are eigenvectors of the linear transformation $R$ (Theorem EER). A matrix representation relative to this basis of eigenvectors will be diagonal, with the eigenvalues ($\lambda=2,\,1$) as the diagonal elements. Here we go, \begin{align*} \vectrepinv{B}{\colvector{-1\\-2\\1}}&= (-1)\begin{bmatrix} 1 & 0 \\ 0 & 0 \end{bmatrix}+ (-2)\begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}+ 1\begin{bmatrix} 0 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} -1 & -2 \\-2 & 1 \end{bmatrix}\\ \vectrepinv{B}{\colvector{-1\\0\\2}}&= (-1)\begin{bmatrix} 1 & 0 \\ 0 & 0 \end{bmatrix}+ 0\begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}+ 2\begin{bmatrix} 0 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} -1 & 0 \\ 0 & 2 \end{bmatrix}\\ \vectrepinv{B}{\colvector{1\\3\\0}}&= 1\begin{bmatrix} 1 & 0 \\ 0 & 0 \end{bmatrix}+ 3\begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}+ 0\begin{bmatrix} 0 & 0 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 1 & 3 \\ 3 & 0 \end{bmatrix}\\ \end{align*} So the requested basis of $S_{22}$, yielding a diagonal matrix representation of $R$, is \begin{align*} C = \set{ \begin{bmatrix} -1 & -2 \\-2 & 1 \end{bmatrix}\,\ \begin{bmatrix} -1 & 0 \\ 0 & 2 \end{bmatrix},\, \begin{bmatrix} 1 & 3 \\ 3 & 0 \end{bmatrix}% } \end{align*}