Computing discrete harmonic differential forms in a given cohomology class using finite element exterior calculus

IF 0.4 4区 计算机科学 Q4 MATHEMATICS
Anil N. Hirani , Kaushik Kalyanaraman , Han Wang , Seth Watts
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引用次数: 0

Abstract

Computational topology research of the past two decades has emphasized combinatorial techniques while numerical methods such as numerical linear algebra remain underutilized. While the combinatorial techniques have been very successful in diverse areas, for some applications, it is worth considering the numerical counterparts. We discuss one such application. Harmonic forms are elements of the kernel of the Hodge Laplacian operator and contain information about the topology of the manifold. If a particular cohomology class is chosen, the closed differential form with the smallest norm in that class is a harmonic form. We use these well-known facts to give an algorithm for solving the following problem: given a piecewise flat manifold simplicial complex (with or without boundary) and a closed piecewise polynomial differential form representing a cohomology class, find the discrete harmonic form in that cohomology class. We give a least squares based algorithm to solve this problem and show that the computed form satisfies the finite element exterior calculus (FEEC) equations for being a harmonic form. The piecewise polynomial spaces used are the spaces of trimmed polynomial forms, that is, arbitrary degree polynomial generalizations of Whitney forms which are used in FEEC. We also survey other methods for finding harmonic forms.

用有限元外部微积分计算给定上同调类中的离散调和微分形式
过去二十年的计算拓扑研究强调组合技术,而数值方法如数值线性代数尚未得到充分利用。虽然组合技术在不同的领域已经非常成功,但对于某些应用,值得考虑数值对应物。我们讨论一个这样的应用。调和形式是霍奇拉普拉斯算子核的元素,包含流形拓扑的信息。如果选择一个特定的上同调类,该类中范数最小的闭微分形式就是调和形式。我们利用这些众所周知的事实给出了一种求解以下问题的算法:给定一个分段平坦流形简单复形(有边界或无边界)和一个表示上同调类的闭分段多项式微分形式,求出该上同调类中的离散调和形式。给出了求解该问题的最小二乘算法,并证明了计算形式满足有限元外微积分方程的调和形式。所使用的分段多项式空间是修整多项式形式的空间,即FEEC中使用的Whitney形式的任意次多项式推广。我们还研究了寻找谐波形式的其他方法。
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来源期刊
CiteScore
1.60
自引率
16.70%
发文量
43
审稿时长
>12 weeks
期刊介绍: Computational Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical and combinatorial aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems. Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.
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