Fenchel–Moreau identities on convex cones

A pointed convex cone naturally induces a partial order, and further a notion of nondecreasingness for functions. We consider extended real-valued functions defined on the cone. Monotone conjugates for these functions can be defined in an analogous way to the standard convex conjugate. The only difference is that the supremum is taken over the cone instead of the entire space. We give sufficient conditions for the cone under which the corresponding Fenchel–Moreau biconjugation identity holds for proper, convex, lower semicontinuous, and nondecreasing functions defined on the cone. In addition, we show that these conditions are satisfied by a class of cones known as perfect cones.

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Publication Details

Journal
Annales de la faculté des sciences de Toulouse Mathématiques
Published
2024-09-23
DOI
https://doi.org/10.5802/afst.1771
Citations
2
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.72
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article

Fenchel–Moreau identities on convex cones

Jiaming Xia, Hong-Bin Chen
2 citations
Annales de la faculté des sciences de Toulouse Mathématiques
Optimization and Variational Analysis
0.72
article

Fenchel–Moreau identities on convex cones

Jiaming Xia, Hong-Bin Chen
article en
2 citations

Abstract

A pointed convex cone naturally induces a partial order, and further a notion of nondecreasingness for functions. We consider extended real-valued functions defined on the cone. Monotone conjugates for these functions can be defined in an analogous way to the standard convex conjugate. The only difference is that the supremum is taken over the cone instead of the entire space. We give sufficient conditions for the cone under which the corresponding Fenchel–Moreau biconjugation identity holds for proper, convex, lower semicontinuous, and nondecreasing functions defined on the cone. In addition, we show that these conditions are satisfied by a class of cones known as perfect cones.

Annales de la faculté des sciences de Toulouse MathématiquesVol. 33(2)
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Optimization and Variational Analysis
0.72
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