Geodesic metrics for RBF approximation of some physical quantities measured on sphere

Pub Date : 2024-08-08 DOI:10.21136/am.2024.0051-24
Karel Segeth
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引用次数: 0

Abstract

The radial basis function (RBF) approximation is a rapidly developing field of mathematics. In the paper, we are concerned with the measurement of scalar physical quantities at nodes on sphere in the 3D Euclidean space and the spherical RBF interpolation of the data acquired. We employ a multiquadric as the radial basis function and the corresponding trend is a polynomial of degree 2 considered in Cartesian coordinates. Attention is paid to geodesic metrics that define the distance of two points on a sphere. The choice of a particular geodesic metric function is an important part of the construction of interpolation formula.

We show the existence of an interpolation formula of the type considered. The approximation formulas of this type can be useful in the interpretation of measurements of various physical quantities. We present an example concerned with the sampling of anisotropy of magnetic susceptibility having extensive applications in geosciences and demonstrate the advantages and drawbacks of the formulas chosen, in particular the strong dependence of interpolation results on condition number of the matrix of the system considered and on round-off errors in general.

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对球面上测量的某些物理量进行 RBF 近似的测地度量
径向基函数(RBF)近似是一个发展迅速的数学领域。在本文中,我们关注的是三维欧几里得空间中球面节点上标量物理量的测量,以及所获数据的球面 RBF 插值。我们采用多二次函数作为径向基函数,相应的趋势是在直角坐标下考虑的阶数为 2 的多项式。我们关注的是定义球面上两点距离的测地线度量。选择特定的测地线度量函数是构建插值公式的重要部分。这类近似公式可用于解释各种物理量的测量结果。我们介绍了一个与磁感应强度各向异性取样有关的例子,该例子在地球科学中有着广泛的应用,我们还展示了所选公式的优点和缺点,特别是插值结果与所考虑的系统矩阵的条件数和一般舍入误差之间的密切关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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