I can understand the importance of diagonalisation in general (in finding powers of matrices). However why should we orthogonally diagonalise a matrix?
It seems like a lot of work if you have repeated eigenvalues and the corresponding eigenvectors are not orthogonal which belong to this repeated eigenvalue. What use is this?
Why is orthogonal diagonalization so important? Is it applications to quadratic forms?