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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 A+(V1+W1)G(V2+W2)\bf{A} + (\bf{V}_1 + \bf{W}_1)\bf{G}(\bf{V}_2 + \bf{W}_2)^* are considered where A\bf{A} is a singularsingular ×\ell \times \ell matrix and G\bf{G} is a nonsingular k×kk \times k matrix, kk \le \ell. Let the columns of V1\bf{V}_1 be in the column space of A\bf{A} and the columns of W1\bf{W}_1 be orthogonal to A\bf{A}. Similarly, let the columns of V2\bf{V}_2 be in the column space of A\bf{A}^* and the columns of W2\bf{W}_2 be orthogonal to A\bf{A}^*. An explicit expression for the inverse is given, provided that WiWi\bf{W}_i^* \bf{W}_i has rank kk. %and W1\bf{W}_1 and W2\bf{W}_2 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}
}

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