Pointwise constrained radially increasing minimizers in the quasi-scalar calculus of variations

Luís Balsa Bicho; António Ornelas

ESAIM: Control, Optimisation and Calculus of Variations (2014)

  • Volume: 20, Issue: 1, page 141-157
  • ISSN: 1292-8119

Abstract

top
We prove uniformcontinuity of radiallysymmetric vector minimizers uA(x) = UA(|x|) to multiple integrals ∫BRL**(u(x), |Du(x)|) dx on a ballBR ⊂ ℝd, among the Sobolev functions u(·) in A+W01,1 (BR, ℝm), using a jointlyconvexlscL∗∗ : ℝm×ℝ → [0,∞] with L∗∗(S,·) even and superlinear. Besides such basic hypotheses, L∗∗(·,·) is assumed to satisfy also a geometrical constraint, which we call quasi − scalar; the simplest example being the biradial case L∗∗(|u(x)|,|Du(x)|). Complete liberty is given for L∗∗(S,λ) to take the ∞ value, so that our minimization problem implicitly also represents e.g. distributed-parameter optimalcontrol problems, on constraineddomains, under PDEs or inclusions in explicit or implicit form. While generic radial functions u(x) = U(|x|) in this Sobolev space oscillate wildly as |x| → 0, our minimizing profile-curve UA(·) is, in contrast, absolutelycontinuous and tame, in the sense that its “staticlevel” L∗∗(UA(r),0) always increases with r, a original feature of our result.

How to cite

top

Bicho, Luís Balsa, and Ornelas, António. "Pointwise constrained radially increasing minimizers in the quasi-scalar calculus of variations." ESAIM: Control, Optimisation and Calculus of Variations 20.1 (2014): 141-157. <http://eudml.org/doc/272883>.

@article{Bicho2014,
abstract = {We prove uniformcontinuity of radiallysymmetric vector minimizers uA(x) = UA(|x|) to multiple integrals ∫BRL**(u(x), |Du(x)|) dx on a ballBR ⊂ ℝd, among the Sobolev functions u(·) in A+W01,1 (BR, ℝm), using a jointlyconvexlscL∗∗ : ℝm×ℝ → [0,∞] with L∗∗(S,·) even and superlinear. Besides such basic hypotheses, L∗∗(·,·) is assumed to satisfy also a geometrical constraint, which we call quasi − scalar; the simplest example being the biradial case L∗∗(|u(x)|,|Du(x)|). Complete liberty is given for L∗∗(S,λ) to take the ∞ value, so that our minimization problem implicitly also represents e.g. distributed-parameter optimalcontrol problems, on constraineddomains, under PDEs or inclusions in explicit or implicit form. While generic radial functions u(x) = U(|x|) in this Sobolev space oscillate wildly as |x| → 0, our minimizing profile-curve UA(·) is, in contrast, absolutelycontinuous and tame, in the sense that its “staticlevel” L∗∗(UA(r),0) always increases with r, a original feature of our result.},
author = {Bicho, Luís Balsa, Ornelas, António},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
keywords = {vectorial calculus of variations; vectorial distributed-parameter optimal control; continuous radially symmetric monotone minimizers},
language = {eng},
number = {1},
pages = {141-157},
publisher = {EDP-Sciences},
title = {Pointwise constrained radially increasing minimizers in the quasi-scalar calculus of variations},
url = {http://eudml.org/doc/272883},
volume = {20},
year = {2014},
}

TY - JOUR
AU - Bicho, Luís Balsa
AU - Ornelas, António
TI - Pointwise constrained radially increasing minimizers in the quasi-scalar calculus of variations
JO - ESAIM: Control, Optimisation and Calculus of Variations
PY - 2014
PB - EDP-Sciences
VL - 20
IS - 1
SP - 141
EP - 157
AB - We prove uniformcontinuity of radiallysymmetric vector minimizers uA(x) = UA(|x|) to multiple integrals ∫BRL**(u(x), |Du(x)|) dx on a ballBR ⊂ ℝd, among the Sobolev functions u(·) in A+W01,1 (BR, ℝm), using a jointlyconvexlscL∗∗ : ℝm×ℝ → [0,∞] with L∗∗(S,·) even and superlinear. Besides such basic hypotheses, L∗∗(·,·) is assumed to satisfy also a geometrical constraint, which we call quasi − scalar; the simplest example being the biradial case L∗∗(|u(x)|,|Du(x)|). Complete liberty is given for L∗∗(S,λ) to take the ∞ value, so that our minimization problem implicitly also represents e.g. distributed-parameter optimalcontrol problems, on constraineddomains, under PDEs or inclusions in explicit or implicit form. While generic radial functions u(x) = U(|x|) in this Sobolev space oscillate wildly as |x| → 0, our minimizing profile-curve UA(·) is, in contrast, absolutelycontinuous and tame, in the sense that its “staticlevel” L∗∗(UA(r),0) always increases with r, a original feature of our result.
LA - eng
KW - vectorial calculus of variations; vectorial distributed-parameter optimal control; continuous radially symmetric monotone minimizers
UR - http://eudml.org/doc/272883
ER -

References

top
  1. [1] L.B. Bicho and A. Ornelas, Radially increasing minimizing surfaces or deformations under pointwise constraints on positions and gradients. Nonlinear Anal.74 (2011) 7061–7070. Zbl1229.49002MR2833694
  2. [2] C. Carlota, S. Chá and A. Ornelas, Existence of radially increasing minimizers for nonconvex vectorial multiple integrals in the calculus of variations or optimal control, preprint. 
  3. [3] A. Cellina and S. Perrotta, On minima of radially symmetric fuctionals of the gradient. Nonlinear Anal.23 (1994) 239–249. Zbl0819.49013MR1289130
  4. [4] A. Cellina and M. Vornicescu, On gradient flows. J. Differ. Eqs.145 (1998) 489–501. Zbl0927.37007MR1620979
  5. [5] G. Crasta, Existence, uniqueness and qualitative properties of minima to radially-symmetric noncoercive nonconvex variational problems. Math. Z.235 (2000) 569–589. Zbl0965.49003MR1800213
  6. [6] G. Crasta, On the minimum problem for a class of noncoercive nonconvex functionals. SIAM J. Control Optim.38 (1999) 237–253. Zbl0942.49012MR1740598
  7. [7] G. Crasta and A. Malusa, Euler-Lagrange inclusions and existence of minimizers for a class of non-coercive variational problems. J. Convex Anal.7 (2000) 167–181. Zbl0956.49008MR1773181
  8. [8] I. Ekeland and R. Temam, Convex analysis and variational problems, North-Holland, Amsterdam (1976). Zbl0322.90046MR463994
  9. [9] S. Krömer, Existence and symmetry of minimizers for nonconvex radially symmetric variational problems. Calc. Var. PDEs32 (2008) 219–236. Zbl1142.49009MR2389990
  10. [10] S. Krömer and H. Kielhöfer, Radially symmetric critical points of non-convex functionals. Proc. Roy. Soc. Edinburgh Sect. A138 (2008) 1261–1280. Zbl1153.49004MR2488058
  11. [11] P. Pedregal and A. Ornelas (editors), Mathematical methods in materials science and enginneering. CIM 1997 summerschool with courses by N. Kikuchi, D. Kinderlehrer, P. Pedregal. CIM www.cim.pt (1998). 
  12. [12] J. Yeh, Lectures on Real Analysis. World Scientific, Singapore (2006). Zbl1039.28001MR1779377

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.