Open Access
July 2018 Perturbation analysis of the Moore–Penrose metric generalized inverse with applications
Jianbing Cao, Yifeng Xue
Banach J. Math. Anal. 12(3): 709-729 (July 2018). DOI: 10.1215/17358787-2017-0064

Abstract

In this article, based on some geometric properties of Banach spaces and one feature of the metric projection, we introduce a new class of bounded linear operators satisfying the so-called (α,β)-USU (uniformly strong uniqueness) property. This new convenient property allows us to take the study of the stability problem of the Moore–Penrose metric generalized inverse a step further. As a result, we obtain various perturbation bounds of the Moore–Penrose metric generalized inverse of the perturbed operator. They offer the advantage that we do not need the quasiadditivity assumption, and the results obtained appear to be the most general case found to date. Closely connected to the main perturbation results, one application, the error estimate for projecting a point onto a linear manifold problem, is also investigated.

Citation

Download Citation

Jianbing Cao. Yifeng Xue. "Perturbation analysis of the Moore–Penrose metric generalized inverse with applications." Banach J. Math. Anal. 12 (3) 709 - 729, July 2018. https://doi.org/10.1215/17358787-2017-0064

Information

Received: 25 August 2017; Accepted: 15 December 2017; Published: July 2018
First available in Project Euclid: 16 June 2018

zbMATH: 06946078
MathSciNet: MR3824748
Digital Object Identifier: 10.1215/17358787-2017-0064

Subjects:
Primary: 47A05
Secondary: 46B20

Keywords: $(\alpha,\beta)$-USU operator , best approximate solution , metric generalized inverse , metric projection , perturbation

Rights: Copyright © 2018 Tusi Mathematical Research Group

Vol.12 • No. 3 • July 2018
Back to Top