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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/74
Title: Adjusted sparse tensor product spectral galerkin method for solving pseudodifferential equations on the sphere with random input data
Authors: Pham Thanh Duong 
Dinh Dung 
Keywords: Stochastic pseudodifferential equations;Statistical moments;Hyperbolic cross spectral methods;Spheres
Issue Date: 2019
Publisher: Springer Link
Source: https://link.springer.com/article/10.1007%2Fs10440-019-00262-4
Journal/Book titles: Acta Applicandae Mathematicae 
Series/Report no.: 166;187–214
Abstract: 
An adjusted sparse tensor product spectral Galerkin approximation method based on spherical harmonics is introduced and analyzed for solving pseudodifferential equations on the sphere with random input data. These equations arise from geodesy where the sphere is taken as a model of the earth. Numerical solutions to the corresponding k-th order statistical moment equations are found in adjusted sparse tensor approximation spaces which are accordingly designed to the regularity of the data and the equation. Established convergence theorem shows that the adjusted sparse tensor Galerkin discretization is superior not only to the full tensor product but also to the standard sparse tensor counterpart when the statistical moments of the data are of mixed unequal regularity. Numerical experiments illustrate our theoretical results.
Index & Ranking: ISI (SCI) Q2
URI(1): http://epub.vgu.edu.vn/handle/dlibvgu/74
DOI: 10.1007/s10440-019-00262-4
Appears in Collections:ARTICLE/BOOK PUBLICATION

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