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

In: Recent Developments in Multivariate and Random Matrix Analysis

Author

Listed:
  • Taras Bodnar

    (Stockholm University, Department of Mathematics)

  • Nestor Parolya

    (Delft University of Technology, Delft Institute of Applied Mathematics)

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.

Suggested Citation

  • Taras Bodnar & Nestor Parolya, 2020. "Spectral Analysis of Large Reflexive Generalized Inverse and Moore-Penrose Inverse Matrices," Springer Books, in: Thomas Holgersson & Martin Singull (ed.), Recent Developments in Multivariate and Random Matrix Analysis, chapter 0, pages 1-16, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-56773-6_1
    DOI: 10.1007/978-3-030-56773-6_1
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