A PETROV-GALERKIN KERNEL APPROXIMATION ON THE SPHERE

作者：Mirzaei Davoud^*

来源：SIAM Journal on Numerical Analysis, 2018, 56(1): 274-295.

DOI：10.1137/16M1106626

• radial basis functions
• spherical basis functions
• Petrov-Galerkin method
• convolution data
• error analysis
• condition numbers

In this paper, a numerical solution of partial differential equations on the unit sphere is given by using a kernel trial approximation in combination with a special Petrov-Galerkin test discretization. The solvability of the scheme is proved, and the error bounds are obtained for functions in appropriate Sobolev spaces. The condition number of the final system is estimated in terms of discretization parameters. The method is meshless because in the trial side the numerical solution parameterizes entirely in terms of scattered points and in the test side everything breaks down to simple numerical integrations over independent spherical caps. This means that no connected background mesh is required for either approximation or integration.

• 出版日期2018