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The distance function and defect energy

Published online by Cambridge University Press:  14 November 2011

Patricio Aviles
Affiliation:
Department of Mathematics and Physics, University of Oxford, Oxford, U.K.; ETH. CH-8592, Zurich, Switzerland
Yoshikazu Giga
Affiliation:
Department of Mathematics, Hokkaido University, Sapporo 060, Japan

Abstract

Several energies measuring jump discontinuities of a unit length gradient field are considered and are called defect energies. The main example is a total variation I(φ) of the hessian of a function φ in a domain. It is shown that the distance function is the unique minimiser of I(φ) among all non-negative Lipschitz solutions of the eikonal equation |grad φ| = 1 with zero boundary data, provided that the domain is a two-dimensional convex domain. An example shows that the distance function is not a minimiser of I if the domain is noncovex. This suggests that the selection mechanism by I is different from that in the theory of viscosity solutions in general. It is often conjectured that the minimiser of a defect energy is a distance function if the energy is formally obtained as a singular limit of some variational problem. Our result suggests that this conjecture is very subtle even if it is true.

Type
Research Article
Copyright
Copyright © Royal Society of Edinburgh 1996

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References

1Alberti, G.. Rank one property for derivatives of functions with bounded variation. Proc. Roy. Soc. Edinburgh Sect. A 123 (1993), 239–74.CrossRefGoogle Scholar
2Aviles, P. and Giga, Y.. A mathematical problem related to the physical theory of liquid crystal configurations. Proc. Centre Math. Anal. Austral. Nat. Univ. 12 (1987), 116.Google Scholar
3Aviles, P. and Giga, Y.. Singularities and rank one properties of Hessian measures. Duke Math. J. 58 (1989), 441–67.CrossRefGoogle Scholar
4Aviles, P. and Giga, Y.. Variational integrals on mappings of bounded variation and their lower semicontinuity. Arch. Rational Mech. Anal. 115 (1991), 201–55.CrossRefGoogle Scholar
5Clarke, F. H.. Optimization and Nonsmooth Analysis (New York: John Wiley, 1983).Google Scholar
6Crandall, 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.CrossRefGoogle Scholar
7Giusti, E.. Minimal Surfaces and Functions of Bounded Variations (Boston: Birkhauser, 1984).CrossRefGoogle Scholar
8Kohn, R. and Muller, S.. Relaxation and regularization of nonconvex variational problems. Rend. Semi. Mat. Fis. Univ. Milano 62 (1992), 89113.CrossRefGoogle Scholar
9Kohn, R. and Muller, S.. Surface energy and microstructure in coherent phase transition. Comm. Pure Appl. Math. 47 (1994), 405–35.CrossRefGoogle Scholar
10Lions, P. L.. Generalized Solutions of Hamilton-Jacobi Equations (Boston: Pitman Advanced Publ. Program, 1982).Google Scholar
11Ortiz, M. and Gioia, G.. The morphology and folding patterns of buckling driven thin-film filters. J. Mech. Phy. Solids 42 (1994), 531–59.CrossRefGoogle Scholar
12Sethna, J. and Kleman, M.. Spheric domains in smectic liquid crystals. Phys. Rev. A. 26 (1982), 3037–40.CrossRefGoogle Scholar
13Simon, L.. Lectures on Geometric Measure Theory. (Canberra: Proc. Centre Math. Anal. Austral. Nat. Univ. 3 1983).Google Scholar