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About Error Bounds in Metrizable Topological Vector Spaces

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Abstract

This paper aims to present some sufficient criteria under which a given function between two spaces that are either topological vector spaces whose topologies are generated by metrics or metrizable subsets of some topological vector spaces, satisfies the error bound property. Then, we discuss the Hoffman estimation and obtain some results for the estimate of the distance to the set of solutions to a system of linear equalities. The advantage of our estimate is that it allows to calculate the coefficient of the error bound. The applications of this presentation are illustrated by some examples.

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References

  1. Peña, J., Vera, J.C., Zuluaga, L.F.: New characterizations of Hoffman constants for systems of linear constraints. Math. Program. 187(1-2, Ser. A), 79–109 (2021). https://doi.org/10.1007/s10107-020-01473-6

    Article  MathSciNet  MATH  Google Scholar 

  2. Cuong, N.D., Kruger, A.Y.: Error bounds revisited. Optimization 0(0), 1–33 (2022). https://doi.org/10.1080/02331934.2022.2032695

    MathSciNet  MATH  Google Scholar 

  3. Robinson, S.: Bounds for error in the solution set of a perturbed linear program. Linear Algebra Appl. 6, 69–81 (1973). https://doi.org/10.1016/0024-3795(73)90007-4

    Article  MathSciNet  MATH  Google Scholar 

  4. Robinson, S.: A characterization of stability in linear programming. Operations Res. 25(3), 435–447 (1977). https://doi.org/10.1287/opre.25.3.435

    Article  MathSciNet  MATH  Google Scholar 

  5. Burke, J., Tseng, P.: A unified analysis of Hoffman’s bound viaFenchel duality. SIAM J. Optim. 6(2), 265–282 (1996). https://doi.org/10.1137/0806015

    Article  MathSciNet  MATH  Google Scholar 

  6. Azé, D., Corvellec, J.-N.: On the sensitivity analysis of Hoffman constants for systems of linear inequalities. SIAM J. Optim. 12(4), 913–927 (2002). https://doi.org/10.1137/S1052623400375853

    Article  MathSciNet  MATH  Google Scholar 

  7. Jourani, A.: Hoffman’s error bound, local controllability, and sensitivity analysis. SIAM J. Control Optim. 38(3), 947–970 (2000). https://doi.org/10.1137/S0363012998339216

    Article  MathSciNet  MATH  Google Scholar 

  8. Dontchev, A.L., Rockafellar, R.T.: Implicit Functions and Solution Mappings. A View from Variational Analysis. Springer Series in Operations Research and Financial Engineering, 2nd edn. Springer, New York (2014). https://doi.org/10.1007/978-1-4939-1037-3

    Google Scholar 

  9. Mordukhovich, B.S.: Variational Analysis and Applications. Springer Monographs in Mathematics. Springer, Berlin (2018). https://doi.org/10.1007/978-3-319-92775-6

    Book  Google Scholar 

  10. Penot, J.-P.: Calculus Without Derivatives, Vol. 266 of Graduate Texts in Mathematics. Springer, New York (2013). https://doi.org/10.1007/978-1-4614-4538-8

    Book  Google Scholar 

  11. Abbasi, M., Théra, M.: Strongly regular points of mappings, Fixed Point Theory Algorithms Sci. Eng. Paper No. 14. https://doi.org/10.1186/s13663-021-00699-z (2021)

  12. Ioffe, A.D.: Regular points of Lipschitz functions. Trans. Amer. Math. Soc. 251, 61–69 (1979). https://doi.org/10.2307/1998683

    Article  MathSciNet  MATH  Google Scholar 

  13. Ioffe, A.D.: Necessary and sufficient conditions for a local minimum. I. A reduction theorem and first order conditions. SIAM J. Control Optim. 17(2), 245–250 (1979). https://doi.org/10.1137/0317019

    Article  MathSciNet  MATH  Google Scholar 

  14. Lyusternik, L.A.: On conditional extrema of functionals. Math. Sbornik 41, 390–401 (1934)

    Google Scholar 

  15. Ioffe, A.D., Tihomirov, V.M.: Theory of Extremal Problems, vol. 6 of Studies in Mathematics and its Applications. North-Holland Publishing Co, Amsterdam-New York (1979). Translated from the Russian by Karol Makowski

    MATH  Google Scholar 

  16. Luu, D.V.: Optimality condition for local efficient solutions of vector equilibrium problems via convexificators and applications. J. Optim. Theory Appl. 171(2), 643–665 (2016). https://doi.org/10.1007/s10957-015-0815-8

    Article  MathSciNet  MATH  Google Scholar 

  17. Ferris, M.C.: Weak sharp minima and penalty functions in mathematical programming, PhD Dissertation, University of Cambridge, Cambridge, UK (1988)

  18. Polyak, B.: Introduction to optimization, Translations Series in Mathematics and Engineering, Optimization Software, Inc., Publications Division, New York. Translated from the Russian, With a foreword by Dimitri P. Bertsekas (1987)

  19. Burke, J.V., Deng, S.: Weak sharp minima revisited. I. Basic theory, pp. 439–469. Well-posedness in optimization and related topics (Warsaw, 2001) (2002)

  20. Burke, J.V., Deng, S.: Weak sharp minima revisited. II. Application to linear regularity and error bounds. Math. Program. 104(2-3, Ser. B), 235–261 (2005). https://doi.org/10.1007/s10107-005-0615-2

    Article  MathSciNet  MATH  Google Scholar 

  21. Conway, J.B.: A course in functional analysis, Graduate Texts in Mathematics, 2nd edn., vol. 96. Springer-Verlag, New York (1990)

  22. Morrison, T.J.: Functional analysis. Pure and Applied Mathematics (New York), Wiley-Interscience [John Wiley & Sons], New York. An introduction to Banach space theory (2001)

  23. Hoffman, A.J.: On approximate solutions of systems of linear inequalities. J. Research Nat. Bur. Standards 49, 263–265 (1952)

    Article  MathSciNet  Google Scholar 

  24. Hoffman, A.J.: Selected papers of Alan Hoffman. World Scientific Publishing Co., Inc., River Edge, NJ (2003). With commentary, Edited by Charles A. Micchelli

    MATH  Google Scholar 

  25. Ioffe, A.D.: Regular points of Lipschitz functions. Trans. Amer. Math. Soc. 251, 61–69 (1979). https://doi.org/10.2307/1998683

    Article  MathSciNet  MATH  Google Scholar 

  26. Laustsen, N., White, J.T.: Subspaces that can and cannot be the kernel of a bounded operator on a Banach space. In: Banach algebras and applications, De Gruyter Proc. Math. https://doi.org/10.1515/9783110602418-011, pp 189–196. De Gruyter, Berlin (2020)

  27. Abbasi, M., Rezaei, M.: Approximate solutions in set-valued optimization problems with applications to maximal monotone operators. Positivity 24 (4), 779–797 (2020). https://doi.org/10.1007/s11117-019-00707-y

    Article  MathSciNet  MATH  Google Scholar 

  28. Jahn, J.: Vector Optimization. Springer-Verlag, Berlin (2004). Theory, applications, and extensions. https://doi.org/10.1007/978-3-540-24828-6

    Book  MATH  Google Scholar 

  29. Thibault, L.: Unilateral Variational Analysis in Banach Spaces, Book in progress. Private communication (2021)

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Acknowledgements

The authors would like to thank Professor Alexander Kruger for useful discussions on the subject, as well as the anonymous referees for their valuable comments that have led to improvements in the presentation.

Funding

This research benefited from the support of the FMJH Program PGMO and from the support of EDF.

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Correspondence to Malek Abbasi.

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Dedicated to Miguel Ángel Goberna in recognition of his significant contribution to the development of optimization and semi-infinite programming

Research of the second author benefited from the support of the FMJH Program PGMO and from the support of EDF.

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Abbasi, M., Théra, M. About Error Bounds in Metrizable Topological Vector Spaces. Set-Valued Var. Anal 30, 1291–1311 (2022). https://doi.org/10.1007/s11228-022-00643-2

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