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Main Author: Cuong, Nguyen Duy
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2601.08153
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author Cuong, Nguyen Duy
author_facet Cuong, Nguyen Duy
contents The paper studies a general norm minimization problem on a product of normed vector spaces. We establish dual necessary and sufficient optimality conditions and derive explicit formulas for the corresponding solution sets. These formulas are obtained under the assumption that one optimal solution together with its associated dual vectors arising from the optimality conditions is known. Three important cases of product norms, namely the sum norm, maximum norm and $p$-norm, are also studied. Several examples in finite and infinite dimensional spaces equipped with various types of norms are presented to illustrate the established results.
format Preprint
id arxiv_https___arxiv_org_abs_2601_08153
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Dual characterizations of norm minimization problems
Cuong, Nguyen Duy
Optimization and Control
Functional Analysis
The paper studies a general norm minimization problem on a product of normed vector spaces. We establish dual necessary and sufficient optimality conditions and derive explicit formulas for the corresponding solution sets. These formulas are obtained under the assumption that one optimal solution together with its associated dual vectors arising from the optimality conditions is known. Three important cases of product norms, namely the sum norm, maximum norm and $p$-norm, are also studied. Several examples in finite and infinite dimensional spaces equipped with various types of norms are presented to illustrate the established results.
title Dual characterizations of norm minimization problems
topic Optimization and Control
Functional Analysis
url https://arxiv.org/abs/2601.08153