Step 1: Concept
A matrix is not diagonalizable if the geometric multiplicity of an eigenvalue is less than its algebraic multiplicity, i.e., it does not have enough linearly independent eigenvectors.
Step 2: Meaning
Consider option (D). It is a Jordan block with eigenvalue \(\lambda=1\) repeated twice, so its algebraic multiplicity is \(2\).
Step 3: Analysis
Solving \[ (A-I)x=0, \] we get \[ \begin{pmatrix} 0 & amp; 1\\ 0 & amp; 0 \end{pmatrix} \begin{pmatrix} x_1\\ x_2 \end{pmatrix} = \begin{pmatrix} 0\\ 0 \end{pmatrix}. \] This implies \[ x_2=0, \] while \(x_1\) is arbitrary. Hence, the eigenvectors are of the form \[ \begin{pmatrix} x_1\\ 0 \end{pmatrix}, \] which gives only one linearly independent eigenvector.
Step 4: Conclusion
Since the matrix has only one independent eigenvector instead of two, it is defective and therefore not diagonalizable.
Final Answer: (D)