English

The Radius of Metric Subregularity

Optimization and Control 2022-06-17 v2

Abstract

There is a basic paradigm, called here the radius of well-posedness, which quantifies the "distance" from a given well-posed problem to the set of ill-posed problems of the same kind. In variational analysis, well-posedness is often understood as a regularity property, which is usually employed to measure the effect of perturbations and approximations of a problem on its solutions. In this paper we focus on evaluating the radius of the property of metric subregularity which, in contrast to its siblings, metric regularity, strong regularity and strong subregularity, exhibits a more complicated behavior under various perturbations. We consider three kinds of perturbations: by Lipschitz continuous functions, by semismooth functions, and by smooth functions, obtaining different expressions/bounds for the radius of subregularity, which involve generalized derivatives of set-valued mappings. We also obtain different expressions when using either Frobenius or Euclidean norm to measure the radius. As an application, we evaluate the radius of subregularity of a general constraint system. Examples illustrate the theoretical findings.

Keywords

Cite

@article{arxiv.1807.02198,
  title  = {The Radius of Metric Subregularity},
  author = {Asen L. Dontchev and Helmut Gfrerer and Alexander Y. Kruger and Jiří V. Outrata},
  journal= {arXiv preprint arXiv:1807.02198},
  year   = {2022}
}

Comments

20 pages

R2 v1 2026-06-23T02:52:25.240Z