A Crystalline Approximation Theorem for Hypersurfaces
A Crystalline Approximation Theorem for Hypersurfaces
复制标题
超曲面的晶体近似定理
DOI:
--
复制
发表时间:
1990
期刊:
影响因子:
--
通讯作者:
H. Huppertz
中科院分区:
文献类型:
--
作者:
H. Huppertz
The existence of an area-minimizing oriented hypersurface spanning a given boundary is guaranteed by compactness properties of the integral currents. Such methods, however, give no way to explicitly find the surface. Here we approach the problem of finding an absolute minimum through the duality between maximum flows and minimum cuts. We prove a new “crystalline approximation” theorem showing any hypersurface can be approximated by polygons with restricted orientations, namely facets from a certain cell complex. This allows us to approximate the continuous minimum surface problem by a flow problem on a finite network. Special algorithms for this linear programming problem make it practical to solve. Preparing to prove our approximation theorem, we give an improved proof of the Besicovitch covering theorem, related to sphere packings. We also initiate a study of the multiplicity of sphere coverings, often useful for extending local analytic results. We give a new analysis of algorithms for minimum-cost circulations, in terms of minimal surfaces. We prove several improved versions of the cubic deformation theorem, a standard result in geometric measure theory. Then we review some results bounding the curvature of areaminimizing surfaces in low dimensions, and we supply enough details to compute explicit constants. Our main theorem is obtained using a new technique to replace arbitrary currents by set boundaries (in an appropriate covering space). We then take a level set of a smoothing of the characteristic function, to get an approximation to the surface with certain curvature bounds. This can, in turn, be approximated by facets from a multigrid (the cell complex we use), still without much increase in mass. Thus, in particular, the area-minimizing surface on any boundary has a good approximation in our cell complex, and we can find this quickly by our flow algorithm. Some earlier techniques have been able to compute area-minimizing surfaces on boundaries which are extreme, but ours is the first to handle arbitrary boundary cycles, like knotted curves. Many minimal surface results are much harder to prove for surface energies other than area (like elliptic and crystalline intergrands), but our construction works equally well for all such energies.