Eigenvalues are the special set of scalars associated with a linear system of equations (i.e., a matrix equation) that are sometimes also known as characteristic roots, characteristic values, proper values, or latent roots. Eigenvectors are the non-zero vectors that change at most by a scalar factor when that linear transformation is applied.