Let (T,A)(T, \mathcal{A}) be an arbitrary measurable space and ff an integrand defined on T×RnT\times \mathbb{R}^n such that f(t,⋅)f(t, \cdot) is quasiconvex and lower semicontinuous. Here, convexity is present by the level set mapping. We show that the normality property of the integrand in the sense of R. T. Rockafellar [Pacific Journal of Mathematics 24 (1968) 525–539; and in: Nonlinear Operators and the Calculus of Variations; Bruxelles 1975, Lecture Notes in Mathematics 543, 157–207, Springer, Berlin] can be characterized by the normality of the level set mapping, and that normality is preserved for quasiconvex conjugates. Finally we obtain for the integral If(x(⋅))=∫Tf(t,x(t))dμ(t)I_f (x(\cdot)) = \int_T f(t, x(t)) d\mu (t) the equality (in appropriate topology) between the lower semicontinuous regularization and the second quasiconvex conjugate.

Contact details are reproduced from the original publication and may be historical.

Abdessamad Amir

University of Mostaganem, Faculty of Sciences, Dept. of Mathematics, 27000 Mostaganem, Algeria

amir@univ-mosta.dz

Hocine Mokhtar-Kharroubi

University of Oran, Faculty of Sciences, Dept. of Mathematics, Oran, Algeria

hmkharroubi@yahoo.fr
  1. E. N. Barron, W. Liu: Calculus of variations in L∞, Appl. Math. Optimization 35 (1997) 213–267.https://doi.org/10.1007/BF02683330Google Scholar
  2. C. Castaing, M. Valadier: Convex Analysis and Measurable Multifunctions, Lecture Notes in Mathematics 580, Springer, Berlin (1977).https://doi.org/10.1007/BFb0087685Google Scholar
  3. J. P. Crouzeix: Contributions à l’étude des fonctions quasi-convexes, PhD Thesis, Université de Clermont-Ferrand 2 (1977).Google Scholar
  4. J. P. Crouzeix: Continuity and differentiability properties of quasiconvex functions on Rn, in: Generalized Concavity in Optimization and Economics (Vancouver, 1980), S. Schaible, W. T. Ziemba (eds.), Academic Press, New York (1981) 109–130.Google Scholar
  5. I. Ekeland, R. Temam: Analyse Convexe et Problèmes Variationnels, Etudes Mathématiques, Dunod Gauthier-Villars, Paris (1974).Google Scholar
  6. J. B. G. Frenk, G. Kassay: Introduction to convex and quasiconvex analysis, in: Handbook of Generalized Convexity and Generalized Monotonicity, N. Hadjisavvas, S. Komlosi, S. Schaible (eds.), Springer, New York (2005) 3–87.https://doi.org/10.1007/0-387-23393-8_1Google Scholar
  7. J. E. Martínez-Legaz: Quasiconvex duality theory by generalized conjugation methods, Optimization 19 (1988) 603–652.https://doi.org/10.1080/02331938808843379Google Scholar
  8. J. J. Moreau: Inf-convolution, sous-additivité, convexité des fonctions numériques, J. Math. Pures Appl., IX. Sér. 49 (1970) 109–154.Google Scholar
  9. J. P. Penot, M. Volle: On quasiconvex duality, Math. Oper. Res. 15(4) (1990) 597–624.https://doi.org/10.1287/moor.15.4.597Google Scholar
  10. R. T. Rockafellar: Integrals which are convex functionals, Pac. J. Math. 24(3) (1968) 525–539.https://doi.org/10.2140/pjm.1968.24.525Google Scholar
  11. R. T. Rockafellar: Integral functionals, normal integrands and measurable selections, in: Nonlinear Operators and the Calculus of Variations (Bruxelles, 1975), J. P. Gossez et al. (ed.), Lecture Notes in Mathematics 543, Springer, Berlin (1976) 157–207.https://doi.org/10.1007/BFb0079944Google Scholar
  12. R. T. Rockafellar, R. J.-B. Wets: Variational Analysis, Grundlehren der mathematischen Wissenschaften 317, Springer, Berlin (1998).https://doi.org/10.1007/978-3-642-02431-3Google Scholar
  13. R. T. Rockafellar: Convex Analysis, Princeton University Press, Princeton (1970).https://doi.org/10.1515/9781400873173Google Scholar
  14. I. Singer: Conjugate operators, in: Selected Topics in Operations Research and Mathematical Economics (Karlsruhe, 1983), G. Hammer, D. Pallaschke (eds.), Springer, Berlin (1984) 80–97.https://doi.org/10.1007/978-3-642-45567-4_6Google Scholar

A. Amir, H. Mokhtar-Kharroubi. “Normality and Quasiconvex Integrands.” Journal of Convex Analysis 17 (2010), No. 1, 59–68. https://doi.org/10.68381/jca17005