Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2012/ia/paper-1/7b/a/solution

Expansion along the first column gives the characteristic polynomial
Thus the eigenvalue has algebraic multiplicity two. Solving gives and then , leaving arbitrary. Its eigenspace is and has geometric multiplicity one. A diagonalisable matrix needs an eigenvector basis, so is not diagonalisable.

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