Finall answer:
The values of
for which a is diagonalizable are

Step-by-step explanation:
For a matrix a to be diagonalizable, it needs to have a complete set of linearly independent eigenvectors corresponding to each eigenvalue. This means that each eigenvalue must have a sufficient number of linearly independent eigenvectors associated with it.
When
the characteristic polynomial of
has distinct roots, implying distinct eigenvalues. Therefore, each eigenvalue has enough linearly independent eigenvectors, making a diagonalizable.
However, if
the matrix has repeated eigenvalues. In this scenario,
might not have enough linearly independent eigenvectors for each eigenvalue, leading to a lack of diagonalizability.