Eigenvectors are usually estimated for each individual (individual-level eigenvectors, involving the inversion of a N × N matrix, where N is sample size).

Asymptotic procedures are given for testing certain hypotheses concerning eigenvectors and for constructing confidence regions for eigenvectors. These asymptotic procedures are derived under fairly ...

When a Hermitian linear operator is slightly perturbed, by how much can its invariant subspaces change? Given some approximations to a cluster of neighboring eigenvalues and to the corresponding ...