Are eigenvectors with repeated eigenvalues linearly dependant?
Clash Royale CLAN TAG #URR8PPP up vote 1 down vote favorite Eigenvectors with distinct eigenvalues are linearly independant, but what about the case where eigenvalues are repeated. An example is where we have matrix A = $$ beginmatrix 1 & 0 \ 0 & 1 \ endmatrix $$ with eigenvalues $û$ = 1 which is repeated twice so spectrum A is 1(2). And we find that the associated augments matrix is $$ beginmatrix 0 & 0 \ 0 & 0 \ endmatrix $$ And because neither component of the vector is contrained, the eigenvectors is of the form [u v]^T. We observe that [u v]^T = u[1 0]^T + v[0 1]^T. Where [1 0]^T + [0 1]^T is linearly independant. So from here how does this actually show that eigenvectors with repeated eigenvalues are not linearly dependant or otherwise? linear-algebra matrices eigenvalues-eigenvectors share | cite | improve this question asked Aug 25 at 11:20 Randy Rogers 72 6 From [u v]^T = u[1 0]^T + v...