Journal
SIAM JOURNAL ON OPTIMIZATION
Volume 31, Issue 2, Pages 1380-1409Publisher
SIAM PUBLICATIONS
DOI: 10.1137/20M1337697
Keywords
metric regularity; stability theorem; Lyusternik's theorem; inverse function; abnormal point
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Funding
- Russian Science Foundation [20-11-20131, 19-11-00258]
- Russian Science Foundation [19-11-00258, 20-11-20131] Funding Source: Russian Science Foundation
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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.
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