Skip to main content
Log in

Regularities and their relations to error bounds

  • Published:
Mathematical Programming Submit manuscript

Abstract.

In this paper, we mainly study various notions of regularity for a finite collection {C 1 ,⋯,C m } of closed convex subsets of a Banach space X and their relations with other fundamental concepts. We show that a proper lower semicontinuous function f on X has a Lipschitz error bound (resp., ϒ-error bound) if and only if the pair {epi(f),X×{0}} of sets in the product space X×ℝ is linearly regular (resp., regular). Similar results for multifunctions are also established. Next, we prove that {C 1 ,⋯,C m } is linearly regular if and only if it has the strong CHIP and the collection {N C 1(z),⋯,N C m (z)} of normal cones at z has property (G) for each zC:=∩ i=1 m C i . Provided that C 1 is a closed convex cone and that C 2 =Y is a closed vector subspace of X, we show that {C 1 ,Y} is linearly regular if and only if there exists α>0 such that each positive (relative to the order induced by C 1 ) linear functional on Y of norm one can be extended to a positive linear functional on X with norm bounded by α. Similar characterization is given in terms of normal cones.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Attouch, H., Brezis, H.: Duality for the sum of convex functions in general Banach spaces. In: J. A., ed., Aspects of Mathematics and Its applications, Barroso, North-Holland, Amsterdam, 1986, pp. 125–133

  2. Aubin, J.-P., Ekeland, I.: Applied Nonlinear Analysis. Pure and Applied Mathematics, New York, 1984

  3. Bauschke, H.H.: Projection Algorithms and Monotone Operators. Ph.D thesis, Simon Fraser University, Department of Mathematics, Burnaby, British Columbia V5A 1S6, Canada, August 1996. Available at http://www.cecm.sfu.ca/preprints/1996pp.html

  4. Bauschke, H.H., Borwein, J.M.: On projection algorithms for solving convex feasibility problems. SIAM Rev. 38, 367–426, (1996)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bauschke, H.H., Borwein, J.M.: On the convergence of von Neumann’s alternating projection algorithm for two sets. Set-Valued Anal. 1, 185–212 (1993)

    MathSciNet  MATH  Google Scholar 

  6. Bauschke, H.H., Borwein, J.M., Li, W.: Strong conical hull intersection property, bounded linear regularity, Jameson’s property (G), and error bounds in convex optimization. Math. Program. 86, 135–160 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  7. Clarke, F.H.: Optimization and Nonsmooth Analysis. Wiley, New York, 1983

  8. Deutsch, F., Li, W., Ward, J.D.: A dual approach to constrained interpolation from a convex subset of Hilbert space. J. Approx. Theory 90, 385–414 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  9. 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)

    Article  MathSciNet  MATH  Google Scholar 

  10. Hirsch, F., Gilles, L.: Elements of Functional Analysis. Springer-Verlag, New York, 1999

  11. Hoffman, A.J.: On approximate solutions of systems of linear inequalities. J. Res. National Bureau of Standards 49, 263–265 (1952)

    Google Scholar 

  12. Holmes, R.B.: Geometric Functional Analysis and its Applications. Springer-Verlag, New York-Heidelberg, 1975

  13. Jameson, G.J.O.: The duality of pairs of wedges. Proc. Lond. Math. Soc. 24, 531–547 (1972)

    MATH  Google Scholar 

  14. Lewis, A., Pang, J.-S.: Error bounds for convex inequality systems. In: Crouzeix, J.-P., Martinez-Legaz, J.-E., Volle, M., ed. Generalized Convexity, Generalized Monotonicity: Recent Results, Proceedings of the Fifth Symposium on Generalized Convexity, Luminy, June 1996, Kluwer Academic Publishers, Dordrecht, 1997, pp. 75–100

  15. Li, W., Singer, I.: Global error bounds for convex multifunctions and applications. Math. Oper. Res. 23, 443–462 (1998)

    MathSciNet  MATH  Google Scholar 

  16. Megginson, R.E.: An Introduction to Banach Space Theory. Springer-Verlag, New York, 1998

  17. Ng, K.F., Zheng, X.Y.: Error bound for lower semicontinuous functions in normed spaces. SIAM J. Optim. 12, 1–17 (2001)

    Article  MathSciNet  Google Scholar 

  18. Ng, K.F., Zheng, X.Y.: Characterizations of error bounds for convex multifunctions on Banach spaces. Preprint

  19. Ng, K.F., Yang, W.H.: Error bounds for abstract linear inequality systems. SIAM J. Optim. 13, 24–43 (2002)

    MathSciNet  MATH  Google Scholar 

  20. Ng, K.F., Yang, W.H.: Error bounds relating to quadratic cones. Preprint

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

    Article  MathSciNet  Google Scholar 

  22. Rockafellar, R.T.: Convex Analysis. Princeton Univeersity Press, Princeton, NJ, 1970

  23. Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer-Verlag, Berlin, 1998

  24. Zalinescu, C.: Nonlinear extension of Hoffman’s error bound. To appear in Math. Oper. Res.

  25. Zheng, X.Y.: Error bounds for set inclusions. To appear in Science in China

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kung Fu Ng.

Additional information

Mathematics Subject Classifications: 90C25, 90C31, 49J52, 46A40

This research was supported by an Earmarked grant from the Research Grant Council of Hong Kong

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ng, K., Yang, W. Regularities and their relations to error bounds. Math. Program., Ser. A 99, 521–538 (2004). https://doi.org/10.1007/s10107-003-0464-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10107-003-0464-9

Keywords

Navigation