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Auteurs principaux: Cuong, Nguyen Duy, Kruger, Alexander Y.
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:https://arxiv.org/abs/2412.05336
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author Cuong, Nguyen Duy
Kruger, Alexander Y.
author_facet Cuong, Nguyen Duy
Kruger, Alexander Y.
contents We show that the existing generalized separation statements including the conventional extremal principle and its extensions differ {in the ways norms on product spaces are defined}. We prove a general separation statement with arbitrary product norms covering the existing results of this kind. The proof is divided into a series of claims and exposes the key steps and arguments used when proving generalized separation statements. As an application, we prove dual necessary (sufficient) conditions for an abstract product norm extension of the approximate stationarity (transversality) property.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05336
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Generalized Separation of Collections of Sets
Cuong, Nguyen Duy
Kruger, Alexander Y.
Functional Analysis
Optimization and Control
We show that the existing generalized separation statements including the conventional extremal principle and its extensions differ {in the ways norms on product spaces are defined}. We prove a general separation statement with arbitrary product norms covering the existing results of this kind. The proof is divided into a series of claims and exposes the key steps and arguments used when proving generalized separation statements. As an application, we prove dual necessary (sufficient) conditions for an abstract product norm extension of the approximate stationarity (transversality) property.
title Generalized Separation of Collections of Sets
topic Functional Analysis
Optimization and Control
url https://arxiv.org/abs/2412.05336