I am given matrix $A$: \begin{pmatrix} 0 & 0 & -2\\1&2&1\\1&0&3\end{pmatrix}
I found the eigenvalues to be 1 and 2 by computing $\det(A-I\lambda)$.
Since the matrix is $3\times 3$ and there are only two distinct eigenvalues, I do not know what to do next. I know that there being n distinct eigenvalues proves that $A$ is diagonizable but the converse is not true so where do I go from here?
Check to see whether there are two linearly independent eigenvectors for the repeated eigenvalue.
If there are two, then the matrix can be diagonalised, if not (and there is only one vector for the eigenvec. of multiplicity two), then the matrix cannot.
A quick google of 'diagonalisability' should help you find a full lemma