4.6 Article

SQUARE-ROOT METRIC REGULARITY AND RELATED STABILITY THEOREMS FOR SMOOTH MAPPINGS

Journal

SIAM JOURNAL ON OPTIMIZATION
Volume 31, Issue 2, Pages 1380-1409

Publisher

SIAM PUBLICATIONS
DOI: 10.1137/20M1337697

Keywords

metric regularity; stability theorem; Lyusternik's theorem; inverse function; abnormal point

Funding

  1. Russian Science Foundation [20-11-20131, 19-11-00258]
  2. Russian Science Foundation [19-11-00258, 20-11-20131] Funding Source: Russian Science Foundation

Ask authors/readers for more resources

This study investigates metric regularity and a stability theorem based on a square-root distance estimate for smooth mappings in Hilbert spaces. The main result provides a sufficient condition for this type of metric regularity and stability without the need for a priori normality assumptions. Applications include deriving Lyusternik's tangent cone theorem and the inverse function theorem in a neighborhood of abnormal points, with examples demonstrating the essence of the proposed assumptions.
Metric regularity and a stability theorem with a square-root distance estimate are investigated for smooth mappings which act in Hilbert spaces. The main result concerns a sufficient condition for this type of metric regularity and stability, which is formulated without a priori normality assumptions. As an application of the obtained conditions, Lyusternik's tangent cone theorem and the inverse function theorem in a neighborhood of abnormal point are derived. Examples are constructed which demonstrate the essence of the proposed assumptions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available