Generalized Wedderburn Rank Reduction
Numerical Analysis
2024-06-07 v1 Numerical Analysis
Abstract
We generalize the Wedderburn rank reduction formula by replacing the inverse with the Moore--Penrose pseudoinverse. In particular, this allows one to remove the non--singularity of a certain matrix from assumptions. The results implies in a straightforward way Nystroem, CUR decompositions, meta-factorization, and a result of Ameli, Shadden. We investigate which properties of the matrix are inherited by the generalized Wedderburn reduction. Reductions leading to the best low-rank approximation are explicitly described in terms of singular vectors. We give a self--contained calculation of the range and the nullspace of the projection and prove that any projection can be expressed in this way.
Cite
@article{arxiv.2406.03992,
title = {Generalized Wedderburn Rank Reduction},
author = {Oskar Kędzierski},
journal= {arXiv preprint arXiv:2406.03992},
year = {2024}
}
Comments
14 pages, includes MATLAB code