Singular Vector Perturbation under Gaussian Noise
  We perform a non-asymptotic analysis on the singular vector distribution under Gaussian noise. In particular, we provide sufficient conditions on a matrix for its first few singular vectors to have near normal distribution. Our result can be used to facilitate the error analysis in linear dimension reduction. 
Rongrong Wang
math.NA math.ST stat.TH