We establish a Fenchel-Moreau type theorem for proper convex functions f ⁣:X→Lˉ0f\colon X\to \bar{L}^0, where (X,Y,⟨⋅,⋅⟩)(X, Y, \langle \cdot,\cdot \rangle) is a dual pair of Banach spaces and Lˉ0\bar L^0 is the space of all extended real-valued functions on a σ\sigma-finite measure space. We introduce the concept of stable lower semi-continuity which is shown to be equivalent to the existence of a dual representation f(x)=sup⁡y∈L0(Y){⟨x,y⟩−f∗(y)},x∈X,\smash{ f(x)=\sup_{y \in L^0(Y)} \left\{\langle x, y \rangle - f^\ast(y)\right\}, \quad x\in X,} where L0(Y)L^0(Y) is the space of all strongly measurable functions with values in YY, and ⟨⋅,⋅⟩\langle \cdot,\cdot \rangle is understood pointwise almost everywhere. The proof is based on a conditional extension result and conditional functional analysis.

Contact details are reproduced from the original publication and may be historical.

Samuel Drapeau

Shanghai Jiao Tong University, School of Mathematical Sciences, and: China Academy of Financial Research, 211 West Huaihai Road, Shanghai, China

sdrapeau@saif.sjtu.edu.cn

Michael Kupper

Dept. of Mathematics and Statistics, University of Konstanz, 78464 Konstanz, Germany

kupper@uni-konstanz.de
  1. R. Bot, S. Grad: Duality for vector optimization problems via a general scalarization, Optimization 60 (2011) 1269–1290.https://doi.org/10.1080/02331934.2010.505959Google Scholar
  2. R. Bot, S. Grad, G. Wanka: Duality in Vector Optimization, Springer, Berlin et al. (2009).https://doi.org/10.1007/978-3-642-02886-1Google Scholar
  3. S. Drapeau, A. Jamneshan, M. Karliczek, M. Kupper: The algebra of conditional sets, and the concepts of conditional topology and compactness, J. Math. Anal. Appl. 437(1) (2016) 561–589.https://doi.org/10.1016/j.jmaa.2015.11.057Google Scholar
  4. D. Filipović, M. Kupper, N. Vogelpoth: Separation and duality in locally L0 -convex modules, J. Funct. Anal. 256 (2009) 3996–4029.https://doi.org/10.1016/j.jfa.2008.11.015Google Scholar
  5. T. Guo: Relations between some basic results derived from two kinds of topologies for a random locally convex module, J. Funct. Anal. 258 (2010) 3024–3047.https://doi.org/10.1016/j.jfa.2010.02.002Google Scholar
  6. A. H. Hamel: A duality theory for set-valued functions. I: Fenchel conjugation theory, Set-Valued Var. Anal. 17 (2009) 153–182.https://doi.org/10.1007/s11228-009-0109-0Google Scholar
  7. A. H. Hamel, A. Löhne: Lagrange duality in set optimization, J. Optim. Theory Appl. 161(2) (2014) 368–397.https://doi.org/10.1007/s10957-013-0431-4Google Scholar
  8. F. Heyde, A. Löhne: Geometric duality in multiple objective linear programming, SIAM J. Optim. 19 (2008) 836–845.https://doi.org/10.1137/060674831Google Scholar
  9. S.-M. Grad, A. Jamneshan: A perturbational duality approach in vector optimization, arXiv: 1807.02666 (2018).Google Scholar
  10. J. Jahn: Vector Optimization, Springer, Berlin et al. (2004).https://doi.org/10.1007/978-3-540-24828-6Google Scholar
  11. A. Jamneshan, J. M. Zapata: On compactness in L0 -modules, preprint (2017).Google Scholar
  12. M. Karliczek: Elements of conditional optimization and their applications to order theory, Ph.D. Thesis, Humboldt-Universität zu Berlin (2014).Google Scholar
  13. S. Koshi, N. Komuro: A generalization of the Fenchel-Moreau theorem, Proc. Japan Acad. Ser. A Math. Sci. 59(5) (1983) 78–181.https://doi.org/10.3792/pjaa.59.178Google Scholar
  14. A. G. Kusraev, S. S. Kutateladze: Boolean Valued Analysis, Mathematics and its Applications, Springer Netherlands (2012).Google Scholar
  15. A. G. Kusraev, S. S. Kutateladze: Kantorovich spaces and optimization, J. Math. Sci. (N.Y.) 133(4) (2006) 1449–1455.https://doi.org/10.1007/s10958-006-0060-7Google Scholar
  16. S. S. Kutateladze: Convex analysis in modules, Sib. Math. J. 22(4) (1981) 118–128.https://doi.org/10.1007/BF00967762Google Scholar
  17. A. Löhne, C. Tammer: A new approach to duality in vector optimization, Optimization 56(1-2) (2007) 221–239.https://doi.org/10.1080/02331930600819720Google Scholar
  18. J. Orihuela, J. M. Zapata: Stability in locally L0 -convex modules and a conditional version of James’ compactness theorem, J. Math. Anal. Appl. 452(2) (2017) 1101–1127.https://doi.org/10.1016/j.jmaa.2017.03.048Google Scholar
  19. J. M. Zapata: Versions of Eberlein-Šmulian and Amir-Lindenstrauss theorems in the framework of conditional sets, Appl. Anal. Discrete Math. 10(2) (2016) 231–261.https://doi.org/10.2298/AADM160721016ZGoogle Scholar
  20. J. Zowe: A duality theorem for a convex programming problem in order complete vector lattices, J. Math. Anal. Appl. 50 (1975) 273–287.https://doi.org/10.1016/0022-247X(75)90022-0Google Scholar

S. Drapeau, A. Jamneshan, M. Kupper. “A Fenchel-Moreau Theorem for L̄^0-Valued Functions.” Journal of Convex Analysis 26 (2019), No. 2, 593–603. https://doi.org/10.68381/jca26031