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Explicit Formula for Preimages of Relaxed One-Sided Lipschitz Mappings with Negative Lipschitz Constants: A Geometric Approach

journal contribution
posted on 2024-11-02, 13:18 authored by Andrew EberhardAndrew Eberhard, Boris Mordukhovich, Janosch Rieger
This paper addresses Lipschitzian stability issues, that play an important role in both theoretical and numerical aspects of variational analysis, optimization, and their applications. We particularly concentrate on the so-called relaxed one-sided Lipschitz property of set-valued mappings with negative Lipschitz constants. This property has been much less investigated than more conventional Lipschitzian behavior, while being well recognized in a variety of applications. Recent work has revealed that set-valued mappings satisfying the relaxed one-sided Lipschitz condition with negative Lipschitz constant possess a localization property, that is stronger than uniform metric regularity, but does not imply strong metric regularity. The present paper complements this fact by providing a characterization, not only of one specific single point of a preimage, but of entire preimages of such mappings. Developing a geometric approach, we derive an explicit formula to calculate preimages of relaxed one-sided Lipschitz mappings between finite-dimensional spaces and obtain a further specification of this formula via extreme points of image sets.

Funding

Innovations in sparse optimisation: big data nonsmooth optimisation

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1007/s10957-020-01644-7
  2. 2.
    ISSN - Is published in 00223239

Journal

Journal of Optimization Theory and Applications

Volume

185

Start page

34

End page

43

Total pages

10

Publisher

Springer

Place published

United States

Language

English

Copyright

© 2020, Springer Science+Business Media, LLC, part of Springer Nature.

Former Identifier

2006098173

Esploro creation date

2020-06-22

Fedora creation date

2020-04-21

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