Abstract
In this paper, we first employ the subdifferential closedness condition and Guignard’s constraint qualification to present “dual cone characterizations” of the constraint set \( \varOmega \) with infinite nonconvex inequality constraints, where the constraint functions are Fréchet differentiable that are not necessarily convex. We next provide sufficient conditions for which the “strong conical hull intersection property” (strong CHIP) holds, and moreover, we establish necessary and sufficient conditions for characterizing “perturbation property” of the best approximation to any \(x \in {\mathcal {H}}\) from the convex set \( \tilde{\varOmega }:=C \cap \varOmega \) by using the strong CHIP of \(\lbrace C,\varOmega \rbrace ,\) where C is a non-empty closed convex set in the Hilbert space \({\mathcal {H}}.\) Finally, we derive the “Lagrange multiplier characterizations” of constrained best approximation under the subdifferential closedness condition and Guignard’s constraint qualification. Several illustrative examples are presented to clarify our results.
Similar content being viewed by others
References
Ansari, Q.H., Köbis, E., Yao, J.-C.: Vector Variational Inequalities and Vector Optimization: Theory and Applications. Springer, Berlin (2018)
Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces, 2nd edn. Springer, New York (2017)
Bazaraa, M.S., Sherali, H.D., Shetty, C.M.: Nonlinear Programming: Theory and Algorithms, 3rd edn. John Wiley, New York (2006)
Bertsekas, D.P., Nedic, A., Ozdaglar, A.E.: Convex Analysis and Optimization. Athena Scientific, Belmont (2003)
Bonnans, J.F., Shapiro, A.: Perturbation Analysis of Optimization Problems. Springer, New York (2000)
Borwein, J.M., Lewis, A.S.: Convex Analysis and Nonlinear Optimization: Theory and Examples, 2nd edn. Springer, New York (2000)
Cánovas, M.J., López, M.A., Mordukhovich, B.S., Parra, J.: Variational analysis in semi-infinite and infinite programming, I: stability of linear inequality systems of feasible solutions. SIAM J. Optim. 20, 1504–1526 (2009)
Cánovas, M.J., López, M.A., Mordukhovich, B.S., Parra, J.: Variational analysis in semi-inifinite and infinite programming, II: necessary optimality conditions. SIAM J. Optim. 20, 2788–2806 (2010)
Deutsch, F.: Best Approximation in Inner Product Spaces. Springer, New York (2001)
Deutsch, F., Li, W., Ward, J.D.: A dual approach to constrained interpolation from a convex subset of Hilbert space. J. Approx. Theory 90, 385–444 (1997)
Deutsch, F., Li, W., Ward, J.D.: Best approximation from the intersection of a closed convex set and a polyhedron in Hilbert space, weak Slater conditions, and the strong conical hull intersection property. SIAM J. Optim. 10, 252–268 (1999)
Gadhi, N.A.: Necessary optimality conditions for a nonsmooth semi-infinite programming problem. J. Global Optim. (2019). https://doi.org/10.1007/s10898-019-00742-9
Ghafari, N., Mohebi, H.: Optimality conditions for nonconvex problems over nearly convex feasible sets. Arab. J. Math. (2021). https://doi.org/10.1007/s40065-021-00315-3
Goberna, M.A., López, M.A.: Linear Semi-infinite Optimization. John Wiley, Chichester, UK (1998)
Goberna, M.A., López, M.A.: Linear semi-infinite programming theory: an updated survey. Eur. J. Oper. Res. 143, 390–405 (2002)
Ho, Q.: Necessary and sufficient KKT optimality conditions in non-convex optimization. Optim. Lett. 11, 41–46 (2017)
Hoheisel, T., Kanzow, C.: On the Abadie and Guignard constraint qualifications for mathematical programs with vanishing constraints. Optimization 58, 413–448 (2009)
Jeyakumar, V., Mohebi, H.: Limiting \(\varepsilon \)- subgradient characterizations of constrained best approximation. J. Approx. Theory 135, 145–159 (2005)
Jeyakumar, V., Mohebi, H.: A global approach to nonlinearly constrained best approximation. Numer. Funct. Anal. Optim. 26, 205–227 (2005)
Jeyakumar, V., Mohebi, H.: Characterizing best approximation from a convex set without convex representation. J. Approx. Theory 239, 113–127 (2019)
Li, W.: Abadie’s constraint qualification, metric regularity, and error bounds for differentiable convex inequalities. SIAM J. Optim. 7, 966–978 (1997)
Li, W., Nahak, C., Singer, I.: Constraint qualifications for semi-infinite systems of convex inequalities. SIAM J. Optim. 11, 615–542 (2000)
Li, C., Ng, K.F.: On best approximation by nonconvex sets and perturbation of nonconvex inequality systems in Hilbert spaces. SIAM J. Optim. 13, 726–744 (2002)
Li, C., Ng, K.F.: Constraint qualification, the strong CHIP, and best approximation with convex constraints in Banach spaces. SIAM J. Optim. 14, 584–607 (2003)
Li, C., Ng, K.F.: On constraint qualification for an infinite system of convex inequalities in a Banach space. SIAM J. Optim. 15, 488–512 (2005)
Li, C., Ng, K.F.: Strong CHIP for infinite system of closed convex sets in normed linear spaces. SIAM J. Optim. 16, 311–340 (2005)
Li, C., Jin, X.-Q.: Nonlinearly constrained best approximation in Hilbert spaces: the strong CHIP, and the basic constraint qualification. SIAM J. Optim. 13, 228–239 (2002)
López, M.A., Still, G.: Semi-infinite programming. Eur. J. Oper. Res. 180, 491–518 (2007)
Mohebi, H., sheikhsamani, M.: Characterizing nonconvex constrained best approximation using Robinson’s constraint qualification. Optim. Lett. (2019). doi.org/10.1007/s11590-018-1317-z
Mordukhovich, B.S.: Variational Analysis and Applications. Springer (2018)
Mordukhovich, B.S., Nghia, T.T.A.: Constraint qualifications and optimality conditions for nonconvex semi-infinite and infinite programs. Math. Program. Ser. B 139, 271–300 (2013)
Mordukhovich, B.S., Phan, H.M.: Tangential extremal principles for finite and infinite systems of sets II: applications to semi-infinite and multiobjective optimization. Math. Program. Ser. B 136, 31–63 (2012)
Peterson, D.W.: A review of constraint qualifications in finite-dimensional spaces. SIAM Rev. 15, 639–654 (1973)
Shapiro, A.: On duality theory of convex semi-infinite programming. Optimization 54, 535–543 (2005)
Singer, I.: Best Approximation in Normed Linear Spaces by Elements of Linear Subspaces. Springer-Verlag, New York (1970)
Tiba, D., Zălinescu, C.: On the necessity of some constraint qualification conditions in convex programming. J. Convex Anal. 11, 95–110 (2004)
Acknowledgements
The authors are very grateful to the two anonymous referees and the Associate Editor for their valuable comments regarding an earlier version of this paper. The comments of the referees and the Associate Editor were very useful and they helped us to improve the paper significantly. This research was partially supported by Mahani Mathematical Research Center, Shahid Bahonar University of Kerman, Iran, Grant No. 97/3267.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Marco Antonio López-Cerdá.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Bakhtiari, H., Mohebi, H. Lagrange Multiplier Characterizations of Constrained Best Approximation with Infinite Constraints. J Optim Theory Appl 189, 814–835 (2021). https://doi.org/10.1007/s10957-021-01856-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10957-021-01856-5
Keywords
- Nonconvex constraint
- Near convexity
- Strong conical hull intersection property
- Guignard’s constraint qualification
- The subdifferential closedness condition
- Perturbation property
- Constrained best approximation
- Lagrange multiplier