Evolution by Non-Convex Functionals

被引:1
|
作者
Elbau, Peter [2 ]
Grasmair, Markus [1 ]
Lenzen, Frank [3 ]
Scherzer, Otmar [1 ]
机构
[1] Univ Vienna, Computat Sci Ctr, A-1090 Vienna, Austria
[2] Johann Radon Inst Computat & Appl Math RICAM, Linz, Austria
[3] Heidelberg Univ, Heidelberg Collaboratory Image Proc HCI, D-6900 Heidelberg, Germany
基金
奥地利科学基金会;
关键词
Geometric partial differential equations; Mean curvature motion; Non-convex bound variation; Non-convex functionals; Non-convex semi-group theory; Relaxation;
D O I
10.1080/01630563.2010.485853
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We establish a semi-group solution concept for flows that are generated by generalized minimizers of non-convex energy functionals. We use relaxation and convexification to define these generalized minimizers. The main part of this work consists in exemplary validation of the solution concept for a non-convex energy functional. For rotationally invariant initial data it is compared with the solution of the mean curvature flow equation. The basic example relates the mean curvature flow equation with a sequence of iterative minimizers of a family of non-convex energy functionals. Together with the numerical evidence this corroborates the claim that the non-convex semi-group solution concept defines, in general, a solution of the mean curvature equation.
引用
收藏
页码:489 / 517
页数:29
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