Spectral Analysis of Large Reflexive Generalized Inverse and Moore-Penrose Inverse Matrices

Taras Bodnar*, N. Parolya

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

3 Citations (Scopus)

Abstract

A reflexive generalized inverse and the Moore-Penrose inverse are often confused in statistical literature but in fact they have completely different behaviour in case the population covariance matrix is not a multiple of identity. In this paper, we study the spectral properties of a reflexive generalized inverse and of the Moore-Penrose inverse of the sample covariance matrix. The obtained results are used to assess the difference in the asymptotic behaviour of their eigenvalues.
Original languageEnglish
Title of host publicationRecent Developments in Multivariate and Random Matrix Analysis
Subtitle of host publicationFestschrift in Honour of Dietrich von Rosen
EditorsThomas Holgersson, Martin Singull
Place of PublicationCham
PublisherSpringer
Pages1-16
Number of pages16
ISBN (Electronic)978-3-030-56773-6
ISBN (Print)978-3-030-56772-9
DOIs
Publication statusPublished - 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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