A Sherman-Morrison-Woodbury Identity for Rank Augmenting Matrices with Application to Centering
Methodology
2019-12-03 v1 Numerical Analysis
Systems and Control
Systems and Control
Functional Analysis
Numerical Analysis
Spectral Theory
Abstract
Matrices of the form are considered where is a matrix and is a nonsingular matrix, . Let the columns of be in the column space of and the columns of be orthogonal to . Similarly, let the columns of be in the column space of and the columns of be orthogonal to . An explicit expression for the inverse is given, provided that has rank . %and and have the same column space. An application to centering covariance matrices about the mean is given.
Keywords
Cite
@article{arxiv.1803.10405,
title = {A Sherman-Morrison-Woodbury Identity for Rank Augmenting Matrices with Application to Centering},
author = {Kurt S. Riedel},
journal= {arXiv preprint arXiv:1803.10405},
year = {2019}
}
Comments
Better in Mathematics, Spectral Theory, General, or Numerical Analysis