Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-10T15:16:23.187Z Has data issue: false hasContentIssue false

Exponential convergence for a convexifyingequation

Published online by Cambridge University Press:  22 July 2011

Guillaume Carlier
Affiliation:
CEREMADE, UMR CNRS 7534, Université Paris IX Dauphine, Pl. de Lattre de Tassigny, 75775 Paris Cedex 16, France. carlier@ceremade.dauphine.fr
Alfred Galichon
Affiliation:
Département d’Économie, UMR CNRS 7176, École polytechnique, 91128 Palaiseau Cedex, France; alfred.galichon@polytechnique.edu
Get access

Abstract

We consider an evolution equation similar to that introduced by Vese in [Comm.Partial Diff. Eq. 24 (1999) 1573–1591] and whose solutionconverges in large time to the convex envelope of the initial datum. We give a stochasticcontrol representation for the solution from which we deduce, under quite generalassumptions that the convergence in the Lipschitz norm is in fact exponential in time.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alvarez, O., Lasry, J.-M. and Lions, P.-L., Convex viscosity solutions and state constraints. J. Math. Pures Appl. 76 (1997) 265288. Google Scholar
L. Caffarelli and X. Cabré, Fully nonlinear elliptic equations, American Mathematical Society Colloquium Publications 43. American Mathematical Society, Providence, RI (1995).
Chen, Y.G., Giga, Y. and Goto, S., Uniqueness and existence of viscosity solutions of generalized mean curvature flow equations. J. Differential Geom. 33 (1991) 749786. Google Scholar
Crandall, M.G., Ishii, H. and Lions, P.-L., User’s guide to viscosity solutions of second order partial differential equations. Bull. Amer. Math. Soc. 27 (1992) 167. Google Scholar
W.H. Fleming and H.M. Soner, Controlled Markov Processes and Viscosity Solutions, Graduate Studies in Mathematics 58. Applications of Mathematics, Springer-Verlag (1993).
Kirchheim, B. and Kristensen, J., Differentiability of convex envelopes. C. R. Acad. Sci. Paris Sér. I Math. 333 (2001) 725728. Google Scholar
Oberman, A., The convex envelope is the solution of a nonlinear obstacle problem. Proc. Amer. Math. Soc. 135 (2007) 16891694. Google Scholar
Oberman, A., Computing the convex envelope using a nonlinear partial differential equation. Math. Mod. Methods Appl. Sci. 18 (2008) 759780. Google Scholar
A. Oberman and L. Silvestre, The Dirichlet Problem for the Convex Envelope. Trans. Amer. Math. Soc. (to appear).
Soner, H.M. and Touzi, N., Stochastic representation of mean curvature type geometric flows. Ann. Probab. 31 (2003) 11451165. Google Scholar
N. Touzi, Stochastic control and application to Finance. Lecture Notes available at http://www.cmap.polytechnique.fr/˜touzi/.
Vese, L., A method to convexify functions via curve evolution. Comm. Partial Diff. Eq. 24 (1999) 15731591.Google Scholar