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Essential stability in unified vector optimization

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Abstract

The emphasis of the paper is to examine the essential stability of efficient solutions for semicontinuous vector optimization problems, subject to the perturbation of objective function and feasible set. We obtain sufficient conditions for existence and characterization of essential efficient solutions, essential sets and essential components, where the efficient solutions are governed by an arbitrary preference relation in a real normed linear space. Further, we establish the density of the set of stable vector optimization problems in the sense of Baire category. We also exhibit that essential stability is weaker than examining continuity aspects of solution sets.

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Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

References

  1. Anh, L., Bantaojai, T., Duc, N., Duy, T., Wangkeeree, R.: Convergence of solutions to lexicographic equilibrium problems. J. Appl. Numer. Optim. 1(1), 39–51 (2019). https://doi.org/10.23952/jano.1.2019.1.04

    Article  Google Scholar 

  2. Beer, G.: Topologies on closed and closed convex sets, Mathematics and its Applications, vol. 268. Kluwer Academic Publishers Group, Dordrecht (1993). https://doi.org/10.1007/978-94-015-8149-3

  3. Bourbaki, N.: Elements of Mathematics. General Topology. Part 2. Hermann, Paris; Addison-Wesley Publishing Co., Reading, Mass.-London-Don Mills, Ont. (1966)

  4. Flores-Bazán, F., Flores-Bazán, F., Laengle, S.: Characterizing efficiency on infinite-dimensional commodity spaces with ordering cones having possibly empty interior. J. Optim. Theory Appl. 164(2), 455–478 (2015). https://doi.org/10.1007/s10957-014-0558-y

    Article  MathSciNet  MATH  Google Scholar 

  5. Flores-Bazán, F., Hernández, E.: A unified vector optimization problem: complete scalarizations and applications. Optimization 60(12), 1399–1419 (2011). https://doi.org/10.1080/02331934.2011.641018

    Article  MathSciNet  MATH  Google Scholar 

  6. Flores-Bazán, F., Hernández, E., Novo, V.: Characterizing efficiency without linear structure: a unified approach. J. Global Optim. 41(1), 43–60 (2008). https://doi.org/10.1007/s10898-007-9165-x

    Article  MathSciNet  MATH  Google Scholar 

  7. Fort, M.K.: Essential and non essential fixed points. Amer. J. Math. 72(2), 315–322 (1950). http://www.jstor.org/stable/2372035

  8. Fort, M.K., Jr.: Points of continuity of semi-continuous functions. Publ. Math. Debrecen 2, 100–102 (1951)

    MathSciNet  MATH  Google Scholar 

  9. Gong, X.H., Chen, J.C.: Essential components of the set of solutions for the system of vector quasi-equilibrium problems. J. Inequal. Appl. 2012, 181 (2012). https://doi.org/10.1186/1029-242X-2012-181

    Article  MathSciNet  MATH  Google Scholar 

  10. Göpfert, A., Riahi, H., Tammer, C., Zălinescu, C.: Variational methods in partially ordered spaces, CMS Books in Mathematics, vol. 17. Springer-Verlag, New York (2003). https://doi.org/10.1007/b97568

  11. Hebestreit, N.: Vector variational inequalities and related topics: a survey of theory and applications. Appl. Set-Valued Anal. Optim 11(3), 231–305 (2019). https://doi.org/10.23952/asvao.1.2019.3.04

    Article  MathSciNet  Google Scholar 

  12. Hong, Z., Jiao, L., Kim, D.S.: On a weakly \(C\)-\(\varepsilon \)-vector saddle point approach in weak vector problems. J. Nonlinear Var. Anal. 3(1), 53–60 (2019). https://doi.org/10.23952/jnva.3.2019.1.06

    Article  MATH  Google Scholar 

  13. Kapoor, S., Lalitha, C.S.: Stability and scalarization for a unified vector optimization problem. J. Optim. Theory Appl. 182(3), 1050–1067 (2019). https://doi.org/10.1007/s10957-019-01514-x

    Article  MathSciNet  MATH  Google Scholar 

  14. Khan, A., Tammer, C., Zalinescu, C.: Set-valued optimization: an introduction with applications. Springer-Verlag, Berlin (2015). https://doi.org/10.1007/978-3-642-54265-7

  15. Kinoshita, S.: On essential components of the set of fixed points. Osaka Math. J. 4, 19–22 (1952). https://projecteuclid.org/euclid.ojm/1200687722

  16. Klein, E., Thompson, A..C.: Theory of correspondences. Canadian Mathematical Society Series of Monographs and Advanced Texts. John Wiley and Sons, Inc, New York (1984)

  17. Long, X.J., Huang, Y.Q., Tang, L.P.: Generic stability of the solution mapping for set-valued optimization problems. J. Inequal. Appl. 349, 8 (2015). https://doi.org/10.1186/s13660-015-0875-1

    Article  MathSciNet  MATH  Google Scholar 

  18. Long, X.J., Peng, Z.Y., Sun, X.K., Li, X.B.: Generic stability of the solution mapping for semi-infinite vector optimization problems in Banach spaces. Pac. J. Optim. 13(4), 593–605 (2017). http://www.ybook.co.jp/online2/oppjo/vol13/p593.html

  19. Luc, D.T.: Theory of Vector Optimization. Lecture Notes in Economics and Mathematical Systems, vol. 319. Springer-Verlag, Berlin (1989)

  20. Luo, Q.: Essential component and essential optimum solution of optimization problems. J. Optim. Theory Appl. 102(2), 433–438 (1999). https://doi.org/10.1023/A:1021740709876

    Article  MathSciNet  MATH  Google Scholar 

  21. Peng, Z.Y., Peng, J.W., Long, X.J., Yao, J.C.: On the stability of solutions for semi-infinite vector optimization problems. J. Global Optim. 70(1), 55–69 (2018). https://doi.org/10.1007/s10898-017-0553-6

    Article  MathSciNet  MATH  Google Scholar 

  22. Penot, J.P., Sterna-Karwat, A.: Parametrized multicriteria optimization: continuity and closedness of optimal multifunctions. J. Math. Anal. Appl. 120(1), 150–168 (1986). https://doi.org/10.1016/0022-247X(86)90209-X

    Article  MathSciNet  MATH  Google Scholar 

  23. Sawaragi, Y., Nakayama, H., Tanino, T.: Theory of Multiobjective Optimization, Mathematics in Science and Engineering, vol. 176. Academic Press, Inc., Orlando, FL (1985). https://www.elsevier.com/books/theory-of-multiobjective-optimization/sawaragi/978-0-12-620370-7

  24. Song, Q.Q., Tang, G.Q., Wang, L.S.: On essential stable sets of solutions in set optimization problems. J. Optim. Theory Appl. 156(3), 591–599 (2013). https://doi.org/10.1007/s10957-012-0129-z

    Article  MathSciNet  MATH  Google Scholar 

  25. Weidner, P.: Minimization of Gerstewitz functionals extending a scalarization by Pascoletti and Serafini. Optimization 67(7), 1121–1141 (2018). https://doi.org/10.1080/02331934.2017.1399393

    Article  MathSciNet  MATH  Google Scholar 

  26. Xiang, S., Zhou, Y.: On essential sets and essential components of efficient solutions for vector optimization problems. J. Math. Anal. Appl. 315(1), 317–326 (2006). https://doi.org/10.1016/j.jmaa.2005.06.077

    Article  MathSciNet  MATH  Google Scholar 

  27. Xiang, S.W., Zhou, Y.H.: Continuity properties of solutions of vector optimization. Nonlinear Anal. 64(11), 2496–2506 (2006). https://doi.org/10.1016/j.na.2005.08.029

    Article  MathSciNet  MATH  Google Scholar 

  28. Yu, J.: Essential weak efficient solution in multiobjective optimization problems. J. Math. Anal. Appl. 166(1), 230–235 (1992). https://doi.org/10.1016/0022-247X(92)90338-E

    Article  MathSciNet  MATH  Google Scholar 

  29. Yu, J., Xiang, S.W.: On essential components of the set of Nash equilibrium points. Nonlinear Anal. 38(2), 259–264 (1999). https://doi.org/10.1016/S0362-546X(98)00193-X

    Article  MathSciNet  MATH  Google Scholar 

  30. Yu, J., Yang, H., Xiang, S.: Unified approach to existence and stability of essential components. Invited talks from the fourth world congress of nonlinear analysts (WCNA 2004). Nonlinear Anal. 63(5), e2415–e2425 (2005). https://doi.org/10.1016/j.na.2005.03.048

    Article  MATH  Google Scholar 

  31. Yu, J., Zhou, Y.: A Hausdorff metric inequality with applications to the existence of essential components. Nonlinear Anal. 69(5–6), 1851–1855 (2008). https://doi.org/10.1016/j.na.2007.07.029

    Article  MathSciNet  MATH  Google Scholar 

  32. Yu, P.L.: Cone convexity, cone extreme points, and nondominated solutions in decision problems with multiobjectives. J. Optim. Theory Appl. 14, 319–377 (1974). https://doi.org/10.1007/BF00932614

    Article  MathSciNet  MATH  Google Scholar 

  33. Zame, W.R.: Competitive equilibria in production economies with an infinite-dimensional commodity space. Econometrica 55(5), 1075–1108 (1987). https://doi.org/10.2307/1911262

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

The authors are very grateful to the anonymous referees for their valuable comments and suggestions which improved the original manuscript greatly.

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Correspondence to Shiva Kapoor.

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Kapoor, S., Lalitha, C.S. Essential stability in unified vector optimization. J Glob Optim 80, 161–175 (2021). https://doi.org/10.1007/s10898-021-00996-2

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