arXiv · 1102.0534
A comparison principle for functions of a uniformly random subspace
Abstract
This note demonstrates that it is possible to bound the expectation of an arbitrary norm of a random matrix drawn from the Stiefel manifold in terms of the expected norm of a standard Gaussian matrix with the same dimensions. A related comparison holds for any convex function of a random matrix drawn from the Stiefel manifold. For certain norms, a reversed inequality is also valid.
Explore related subjects
Keep this discovery
Joel A. Tropp. 2011-02-02. A comparison principle for functions of a uniformly random subspace. https://doi.org/10.1007/s00440-011-0360-9
Cite the original work for its findings. Save a collection to share your selection of sources.