Step 1 :First, we apply the transformation \(f\) to each vector in the basis \(\mathcal{B}\).
Step 2 :We then express the result as a linear combination of the basis vectors in \(\mathcal{B}\).
Step 3 :The coefficients of these linear combinations will form the columns of the matrix representation.
Step 4 :By performing these steps, we find that the matrix \([f]_{\mathcal{B}}^{\mathcal{B}}\) for \(f\) relative to the basis \(\mathcal{B}\) is \(\left[\begin{array}{cc} 4 & -12 \\ -1 & -2 \end{array}\right]\).
Step 5 :\(\boxed{[f]_{\mathcal{B}}^{\mathcal{B}} = \left[\begin{array}{cc} 4 & -12 \\ -1 & -2 \end{array}\right]}\)