In the scalar n-dimensional situation, the extreme points in the set of certain gradient LpL^p-Young measures are studied. For n = 1, such Young measures must be composed from Diracs, while for n ≥ 2 there are non-Dirac extreme points among them, for n ≥ 3, some are even weakly* continuous. This is used to construct nontrivial examples of nonexistence of solutions of the minimization-type variational problem ∫ΩW(x,∇u) dx\int_\Omega W(x,\nabla u)\,\mathrm{d}x with a Caratheodory (if n ≥ 2) or even continuous (if n ≥ 3) integrand W.

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

Tomáš Roubíček

Mathematical Institute, Charles University, Sokolovská 83, 18675 Praha 8, Czech Republic
and: Institute of Information Theory and Automation, Academy of Sciences, Pod vodárenskou věží 4, CZ-182 08 Praha 8, Czech Republic

Vladimír Šverák

School of Mathematics, Vincent Hall, University of Minnesota, Minneapolis, MN 55455, U.S.A.

  1. G. Aubert, R. Tahraoui: Young measures and relaxation of functionals for integrands f (x, u(x), u′(x)), Diff. Int. Equations 9 (1996) 27–43.https://doi.org/10.57262/die/1367969986Google Scholar
  2. E. J. Balder: New existence results for optimal controls in the absence of convexity: the importance of extremality, SIAM J. Control Anal. 32 (1994) 890–916.https://doi.org/10.1137/S0363012990193099Google Scholar
  3. H. Bauer: Minimalstellen von Funktionen und Extremalpunkte, Archiv d. Math. 9 (1958) 389–393, Archiv d. Math. 11 (1960) 200–205.https://doi.org/10.1007/BF01236933Google Scholar
  4. P. Bauman, D. Phillips: A nonconvex variational problem related to change of phase, Appl. Math. Optim. 21 (1990) 113–138.https://doi.org/10.1007/BF01445160Google Scholar
  5. A. Cellina: On minima of a functional of the gradient, Nonlinear Analysis, Th. Meth. Appl. 20 (1993) 337–341, 343–347.https://doi.org/10.1016/0362-546X(93)90138-IGoogle Scholar
  6. A. Cellina, G. Colombo: On a classical problem of the calculus of variations without convexity assumptions, Annales Inst. H. Poincaré, Anal. Nonlin. 7 (1990) 97–106.https://doi.org/10.1016/s0294-1449(16)30306-7Google Scholar
  7. L. Cesari: An existence theorem without convexity conditions, SIAM J. Control 12 (1974) 319–331.https://doi.org/10.1137/0312025Google Scholar
  8. M. Chipot: Numerical analysis of oscillations in nonconvex problems, Numer. Math. 59 (1991) 747–767.https://doi.org/10.1007/BF01385808Google Scholar
  9. F. Flores: The lack of lower semicontinuity and nonexistence of minimizers, Nonlinear Anal., Th. Meth. Appl. 23 (1994) 143–153.https://doi.org/10.1016/0362-546X(94)90256-9Google Scholar
  10. G. Friesecke: A necessary and sufficient conditions for nonattainment and formation of microstructure almost everywhere in scalar variational problems, Proc. Royal Soc. Edinburgh 124 A (1994) 437–471.https://doi.org/10.1017/S0308210500028730Google Scholar
  11. D. Kinderlehrer, P. Pedregal: Gradient Young measures generated by sequences in Sobolev spaces, J. Geom. Anal. 4 (1994) 59–90.https://doi.org/10.1007/BF02921593Google Scholar
  12. P. Marcellini: Some problems of existence, uniqueness and regularity in the calculus of variations, in: World Congress of Nonlin. Analysts ’92 (ed. V. Lakshmikantham), W. de Gruyter, Berlin (1996) 2089–2095.https://doi.org/10.1515/9783110883237.2089Google Scholar
  13. C. Mariconda: On a parametric problem of the calculus of variations without convexity assumptions, J. Math. Anal. Appl. 170 (1992) 291–297.https://doi.org/10.1016/0022-247X(92)90020-EGoogle Scholar
  14. E. Mascolo, R. Schianchi: Existence theorem for nonconvex problems, J. Math. Pures Appl. 62 (1983) 349–359.Google Scholar
  15. A. Ornelas: Existence of scalar minimizers for nonconvex simple integrals of sum type, J. Math. Anal. Appl. 221 (1998) 559–573.https://doi.org/10.1006/jmaa.1998.5915Google Scholar
  16. P. Pedregal: Parametrized Measures and Variational Principles, Birkhäuser, Basel, 1997.https://doi.org/10.1007/978-3-0348-8886-8Google Scholar
  17. J.-P. Raymond: Conditions nécessaires et suffisantes d’existence de solutions en calcul des variations, Annales Inst. H. Poincaré, Anal. Nonlin. 4 (1987) 169–202.https://doi.org/10.1016/s0294-1449(16)30371-7Google Scholar
  18. J.-P. Raymond: Théorème d’existence pour des problèmes variationnels non convexes, Proc. Royal Soc. Edinburgh 107 A (1987) 43–64.https://doi.org/10.1017/S0308210500029346Google Scholar
  19. J.-P. Raymond: An anti-plane shear problem, J. Elasticity 33 (1993) 213–231.https://doi.org/10.1007/BF00043249Google Scholar
  20. J.-P. Raymond: Existence and uniqueness results for minimization problems with nonconvex functionals, J. Optim. Theory Appl. 82 (1994) 571–592.https://doi.org/10.1007/BF02192219Google Scholar
  21. T. Roubíček: Relaxation in Optimization Theory and Variational Calculus, W. de Gruyter, Berlin, 1997.https://doi.org/10.1515/9783110811919Google Scholar

T. Roubíček, V. Šverák. “Nonexistence of Solutions in Nonconvex Multidimensional Variational Problems.” Journal of Convex Analysis 7 (2000), No. 2, 427–435. https://doi.org/10.68381/jca07022