Duality Theory on Vector Spaces

Fuente: arXiv
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Auteurs principaux: Van Cuong, Dang, Tran, Tuyen
Format: Preprint
Publié: 2023
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author Van Cuong, Dang
Tran, Tuyen
author_facet Van Cuong, Dang
Tran, Tuyen
contents In this paper, we study the Fenchel-Rockafellar duality and the Lagrange duality in the general frame work of vector spaces without topological structures. We utilize the geometric approach, inspired from its successful application by B. S. Mordukhovich and his coauthors in variational and convex analysis. After revisiting coderivative calculus rules and providing the subdifferential maximum rule in vector spaces, we establish conjugate calculus rules under qualifying conditions through the algebraic interior of the function's domains. Then we develop sufficient conditions which guarantee the Fenchel-Rockafellar strong duality. Finally, after deriving some necessary and sufficient conditions for optimal solutions to convex minimization problems, under a Slater condition via the algebraic interior, we then obtain a sufficient condition for the Lagrange strong duality.
format Preprint
id arxiv_https___arxiv_org_abs_2311_13241
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Duality Theory on Vector Spaces
Van Cuong, Dang
Tran, Tuyen
Optimization and Control
49J52, 49J53, 90C31
In this paper, we study the Fenchel-Rockafellar duality and the Lagrange duality in the general frame work of vector spaces without topological structures. We utilize the geometric approach, inspired from its successful application by B. S. Mordukhovich and his coauthors in variational and convex analysis. After revisiting coderivative calculus rules and providing the subdifferential maximum rule in vector spaces, we establish conjugate calculus rules under qualifying conditions through the algebraic interior of the function's domains. Then we develop sufficient conditions which guarantee the Fenchel-Rockafellar strong duality. Finally, after deriving some necessary and sufficient conditions for optimal solutions to convex minimization problems, under a Slater condition via the algebraic interior, we then obtain a sufficient condition for the Lagrange strong duality.
title Duality Theory on Vector Spaces
topic Optimization and Control
49J52, 49J53, 90C31
url https://arxiv.org/abs/2311.13241