[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

Normality and Uniqueness of Multipliers in Isoperimetric Control Problems

  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

In this paper, we introduce the notion of normality relative to a set of constraints in isoperimetric control problems and study its relationship with the classic notion of normality, as well as the existence and uniqueness of Lagrange multipliers satisfying the maximum principle. We show that this notion leads to characterizing the uniqueness of a given multiplier, which also turns out to be equivalent to a strict Mangasarian–Fromovitz condition (as in the finite-dimensional case). Finally, we show that, if the cost function is allowed to vary between those for which a solution to the constrained problem is given, then the set of multipliers associated with each of them is a singleton, if and only if a strong normality assumption holds.

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

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Giorgi, G., Guerraggio, A., Thierfelder, J.: Mathematics of Optimization: Smooth and Nonsmooth Case. Elsevier, Amsterdam (2004)

    MATH  Google Scholar 

  2. Hestenes, M.R.: Optimization Theory: The Finite Dimensional Case. Wiley, New York (1975)

    MATH  Google Scholar 

  3. Becerril, J.A., Rosenblueth, J.F.: The importance of being normal, regular and proper in the calculus of variations. J. Optim. Theory Appl. 172, 759–773 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  4. Kyparisis, J.: On uniqueness of Kuhn–Tucker multipliers in nonlinear programming. Math. Program. 32, 242–246 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  5. Wachsmuth, G.: On LICQ and the uniqueness of Lagrange multipliers. Oper. Res. Lett. 41, 78–80 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  6. Cortez, K.L., Rosenblueth, J.F.: Normality and uniqueness of Lagrange multipliers. Discrete Contin. Dyn. Syst. Ser. A 38, 3169–3188 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  7. Hestenes, M.R.: Calculus of Variations and Optimal Control Theory. Wiley, New York (1966)

    MATH  Google Scholar 

  8. de Pinho, M.R., Rosenblueth, J.F.: Mixed constraints in optimal control: an implicit function theorem approach. J. Math. Control Inf. 24, 197–218 (2007)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

The first author acknowledges the support of Portuguese funds through the Portuguese Foundation for Science and Technology (FCT), within the Projects PTDC/EEI-AUT/2933/2014-POCI-01-0145-FEDER-016858, TOCCATTA. Both authors thank an anonymous referee, the editor-in-chief and Dr. Rosrio de Pinho for their valuable suggestions which helped to improve the presentation of the paper, and also thank Dr. Javier Rosenblueth for the help he provided by proofreading this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jorge Becerril.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Becerril, J., Cortez, K. Normality and Uniqueness of Multipliers in Isoperimetric Control Problems. J Optim Theory Appl 182, 947–964 (2019). https://doi.org/10.1007/s10957-019-01515-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10957-019-01515-w

Keywords

Mathematics Subject Classification

Navigation