Singular Vector Perturbation under Gaussian Noise
Rongrong Wang · arXiv (Cornell University) · 2012
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.