If lambda is an eigenvalue of T with multiplicity, then the eigenspace of lambda (null(T-I*lambda)) has dimension more than 1. Any vector from this subspace is an eigenvector of T, so eigenvectors of T corresponding to multiplicities of eigenvalues does not have to be orthogonal. (Although you can pick orthogonal ones)
About the last result: can anything be said about eigenvectors corresponding to multiplicities of eigenvalues? Are they also orthogonal?
If lambda is an eigenvalue of T with multiplicity, then the eigenspace of lambda (null(T-I*lambda)) has dimension more than 1. Any vector from this subspace is an eigenvector of T, so eigenvectors of T corresponding to multiplicities of eigenvalues does not have to be orthogonal. (Although you can pick orthogonal ones)
Thanks for the video
Very well expalined
He is legend
This kind of explanation feels like robotic
Thanks for the video