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Vector quasi-equilibrium problems: separation, saddle points and error bounds for the solution set

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Abstract

In this paper, we employ the image space analysis (for short, ISA) to investigate vector quasi-equilibrium problems (for short, VQEPs) with a variable ordering relation, the constrained condition of which also consists of a variable ordering relation. The quasi relatively weak VQEP (for short, qr-weak VQEP) are defined by introducing the notion of the quasi relative interior. Linear separation for VQEP (res., qr-weak VQEP) is characterized by utilizing the quasi interior of a regularization of the image and the saddle points of generalized Lagrangian functions. Lagrangian type optimality conditions for VQEP (res., qr-weak VQEP) are then presented. Gap functions for VQEP (res., qr-weak VQEP) are also provided and moreover, it is shown that an error bound holds for the solution set of VQEP (res., qr-weak VQEP) with respect to the gap function under strong monotonicity.

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References

  1. Ansari, Q.H., Chan, W.K., Yang, X.Q.: The system of vector quasi-equilibrium problems with applications. J. Global Optim. 29, 45–57 (2004)

    Article  Google Scholar 

  2. Auslender, A.: Optimization. Methodes Numeriques. Masson, Paris (1976)

    Google Scholar 

  3. Blum, E., Oettli, W.: From optimization and variational inequalities to equilibrium problems. Math. Stud. 63, 1–23 (1993)

    Google Scholar 

  4. Bonnans, J.F., Shapiro, A.: Perturbation Analysis of Optimization Problems. Springer, New York (2000)

    Book  Google Scholar 

  5. Borwein, J.M., Goebel, R.: Notions of relative interior in Banach spaces. J. Math. Sci. 115, 2542–2553 (2003)

    Article  Google Scholar 

  6. Borwein, J.M., Lewis, A.S.: Partially finite convex programming, part I: quasi-relative interiors and duality theory. Math. Program. Ser. A 57, 15–48 (1992)

    Article  Google Scholar 

  7. Bot, R.I., Csetnek, E.R., Wanka, G.: Regularity conditions via quasirelative interior in convex programming. SIAM J. Optim. 19, 217–233 (2008)

    Article  Google Scholar 

  8. Breckner, W.W., Kassay, G.: A Systematization of convexity concepts for sets and functions. J. Convex Anal. 4, 109–127 (1997)

    Google Scholar 

  9. Chen, G.Y., Huang, X.X., Yang, X.Q.: Vector Optimization, Set-valued and Variational Analysis. Springer, Berlin (2005)

    Google Scholar 

  10. Daniele, P., et al.: Infinite dimensional duality and applications. Math. Ann. 339, 221–239 (2007)

    Article  Google Scholar 

  11. Facchinei, F., Pang, J.S.: Finite-dimensional Variational Inequalities and Complementarity Problems. Springer, New York (2003)

    Google Scholar 

  12. Fukushima, M.: Equivalent differentiable optimization problems and descent methods for asymmetric variational inequality problems. Math. Program. Ser. A 53, 99–110 (1992)

    Article  Google Scholar 

  13. Giannessi, F.: Theorems of the alternative and optimality conditions. J. Optim. Theory Appl. 60, 331–365 (1984)

    Article  Google Scholar 

  14. Giannessi, F.: Semidifferentiable functions and necessary optimality conditions. J. Optim. Theory Appl. 60, 191–241 (1989)

    Article  Google Scholar 

  15. Giannessi, F. (ed.): Vector Variational Inequalities and Vector Equilibria. Kluwer Academic Publishers, Dordrecht (2000)

    Google Scholar 

  16. Giannessi, F.: Constrained Optimization and Image Space Analysis. Springer, New York (2005)

    Google Scholar 

  17. Giannessi, F., Mastroeni, G.: Separation of sets and Wolfe duality. J. Global Optim. 42, 401–412 (2008)

    Article  Google Scholar 

  18. Grad, A.: Quasi-relative interior-type constraint qualifications ensuring strong Lagrange duality for optimization problems with cone and affine constraints. J. Math. Anal. Appl. 361, 86–95 (2010)

    Article  Google Scholar 

  19. Jahn, J.: Vector Optimization. Theory, Applications, and Extensions. Springer, Berlin (2011)

    Google Scholar 

  20. Li, J., Huang, N.J.: Image space analysis for vector variational inequalities with matrix inequality constraints and applications. J. Optim. Theory Appl. 145, 459–477 (2010)

    Article  Google Scholar 

  21. Li, J., Huang, N.J.: Image space analysis for variational inequalities with cone constraints and applications to traffic equilibria. Sci. China Math. 55, 851–868 (2012)

    Article  Google Scholar 

  22. Li, J., Mastroeni, G.: Image convexity of generalized systems and applications, prepared

  23. Limber, M.A., Goodrich, R.K.: Quasi interiors, Lagrange multipliers, and \(L^p\) spectral estimation with lattice bounds. J. Optim. Theory Appl. 78, 143–161 (1993)

    Article  Google Scholar 

  24. Li, S.J., Teo, K.L., Yang, X.Q., Wu, S.Y.: Gap functions and existence of solutions to generalized vector quasi-equilibrium problems. J. Global Optim. 34, 427–440 (2006)

    Article  Google Scholar 

  25. Limber, M.A., Goodrich, R.K.: Quasi interiors, Lagrange multipliers, and \(L^p\) spectral estimation with lattice bounds. J. Optim. Theory Appl. 78, 143–161 (1993)

    Article  Google Scholar 

  26. Luc, D.T.: Theory of Vector Optimization. Springer, Berlin (1989)

    Book  Google Scholar 

  27. Mastroeni, G.: On the image space analysis for vector quasi-equilibrium problems with a variable ordering relation. J. Global Optim. 53, 203–214 (2012)

    Article  Google Scholar 

  28. Mastroeni, G., Panicucci, B., Passacantando, M., Yao, J.C.: A separation approach to vector quasi-equilibrium problems: saddle point and gap function. Taiwanese J. Math. 13, 657–673 (2009)

    Google Scholar 

  29. Maugeri, A., Raciti, F.: Remarks on infinite dimensional duality. J. Global Optim. 46, 581–588 (2010)

    Article  Google Scholar 

  30. Pang, J.S.: Error bounds in mathematical programming. Math. Program. Ser. A 79, 299–332 (1997)

    Google Scholar 

  31. Z\(\check{\rm a}\)linescu, C.: Convex Analysis in General Vector Spaces. World Scientific Publishing Co., Inc., River Edge (2002)

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Acknowledgments

The authors greatly appreciate anonymous referees and Dr. G. Mastroeni for their valuable suggestions, which have helped to improve an early version of the paper.

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Correspondence to J. Li.

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This work was supported by NSC 100-2221-E-182-072-MY2, the Natural Science Foundation of China (60804065), the Key Project of Chinese Ministry of Education (211163) and Sichuan Youth Science and Technology Foundation (2012JQ0032).

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Guu, SM., Li, J. Vector quasi-equilibrium problems: separation, saddle points and error bounds for the solution set. J Glob Optim 58, 751–767 (2014). https://doi.org/10.1007/s10898-013-0073-y

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