Skip to main content
Log in

Algebraic Approach to Duality in Optimization and Applications

  • Published:
Set-Valued and Variational Analysis Aims and scope Submit manuscript

Abstract

This paper studies duality of optimization problems in a vector space without topological structure. A strong duality relation is established by means of algebraic subdifferential and algebraic conjugate functions. Topological duality relations are obtained by the algebraic approach without lower semicontinuity or quasicontinuity hypothesis on perturbation functions. Applications are given for the sum of two convex functions, monotropic problems, infinite convex or linear problems. Attention is also made on the algebraic constraint qualification for problems with countably infinitely many inequality constraints.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bair, J., Fourneau, R.: Etude GéoméTrique Des Espaces Vectoriels, Une Introduction. Springer, Berlin (1975)

    Book  Google Scholar 

  2. Basu, A., Martin, K., Ryan, C.T.: On the sufficiency of finite support duals in semi-infinite linear programming. Oper. Res. Lett. 42, 16–20 (2014)

    Article  MathSciNet  Google Scholar 

  3. Bertsekas, D.P.: Extended monotropic programming and duality. J. Optim. Theory Appl. 139, 209–225 (2008)

    Article  MathSciNet  Google Scholar 

  4. Boţ, R.I.: Conjugate Duality in Convex Optimization. Springer, Berlin (2010)

    Book  Google Scholar 

  5. Boţ, R.I., Csetnek, E.R.: On a zero duality gap result in extended monotropic programming. J. Optim. Theory Appl. 47, 473–482 (2010)

    Article  MathSciNet  Google Scholar 

  6. Boţ, R.I., Csetnek, E.R., Wanka, G.: On some abstract convexity notions in real linear spaces. Math. Inequal. Appl. 11, 571–583 (2008)

    MathSciNet  MATH  Google Scholar 

  7. Burachik, R.S., Majeed, S.N.: Strong duality for generalized monotropic programming in infinite dimension. J. Math. Anal. Appl. 400, 541–557 (2013)

    Article  MathSciNet  Google Scholar 

  8. Elster, K.H., Nehse, R.: Zum Dualitätssatz von Fenchel. Mathematische Operationsforschung und Statistik 415, 269–280 (1974)

    Article  Google Scholar 

  9. Giles, J.R.: Convex analysis with application in differentiation of convex functions. Pitman, Research Notes in Math. 58 (1982)

  10. Goberna, M.A., López, M.A.: Linear Semi-infinite Optimization. Wiley, Hoboken (1998)

    MATH  Google Scholar 

  11. Goberna, M.A., López, M.A., Volle, M.: Primal attainment in convex infinite optimization duality. J. Convex Anal. 21, 1043–1064 (2014)

    MathSciNet  MATH  Google Scholar 

  12. Goberna, M.A., López, M.A., Volle, M.: New glimpses on convex infinite optimization duality. Revista de la Real Academia de Ciencias 109, 431–450 (2015)

    MathSciNet  MATH  Google Scholar 

  13. Holmes, R.B.: Geometric Functional Analysis and Its Applications. Springer, Berlin (1975)

    Book  Google Scholar 

  14. Kakutani, S.: Concrete representation of abstract (M)-spaces. (A characterization of the space of continuous functions). Ann. of Math. Series 2 42, 994–1024 (1941)

    Article  MathSciNet  Google Scholar 

  15. Luc, D.T., Volle, M.: Duality for extended infinite monotropic optimization problems. Math Program. https://doi.org/10.1007/s10107-020-01557-3 (2020)

  16. Moreau, J.J.: Fonctionnelles Convexes. Collège de France (1966)

  17. Rockafellar, R.T.: Convex Analysis. Princeton (1970)

  18. Rockafellar, R.T., Duality, Conjugate: Conjugate Duality and Optimization, Reg. Conf. Series in Applied Math. 16, SIAM, Philadelphia (1974)

  19. Rockafellar, R.T.: Networks Flows and Monotropic Optimization. Wiley-Intersciences, Hoboken (1984)

    MATH  Google Scholar 

  20. Wang, J.: Positive linear functionals, Preprint, Department of Mathematics, Uppsala University. http://www2.math.uu.se/gaidash/Presentations/Presentation_W_Jinyi.pdf (2016)

  21. Zălinescu, C.: Convex analysis in general vector spaces, world sci publi (2002)

Download references

Acknowledgements

The authors thank the referees for the careful reading of the manuscript and for their useful comments that contribute to improve its presentation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michel Volle.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

To Professor R. T. Rockafellar on the occasion of his 85th birthday

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luc, D.T., Volle, M. Algebraic Approach to Duality in Optimization and Applications. Set-Valued Var. Anal 29, 661–681 (2021). https://doi.org/10.1007/s11228-021-00596-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11228-021-00596-y

Keywords

Mathematics Subject Classification (2010)

Navigation