A Convergent Iterated Quasi-interpolation for Periodic Domain and Its Applications to Surface PDEs
The paper first provides an iterated quasi-interpolation scheme for function approximation over periodic domain and then attempts its applications to solve time-dependent surface partial differential equations (PDEs). The key feature of our scheme is that it gives an approximation directly just by t...
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Published in | Journal of scientific computing Vol. 93; no. 2; p. 37 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.11.2022
Springer Nature B.V |
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ISSN | 0885-7474 1573-7691 |
DOI | 10.1007/s10915-022-01998-2 |
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Abstract | The paper first provides an iterated quasi-interpolation scheme for function approximation over periodic domain and then attempts its applications to solve time-dependent surface partial differential equations (PDEs). The key feature of our scheme is that it gives an approximation directly just by taking a weighted average of the available discrete function values evaluated at sampling centers in the periodic domain. As such, it is simple, easy to compute, and the implementation process is stable. Moreover, if the sampling centers distribute uniformly over the periodic domain, it even preserves the same convergence order to all the derivatives. To employ the iterated quasi-interpolation scheme for solving time-dependent surface PDEs, we follow the framework of the method-of-lines. More precisely, we first reformulate the PDEs in terms of the parametric form of the surface. Then we use our quasi-interpolation scheme to approximate both the analytic solution and its spatial derivatives in the reformulated form (of PDEs) to get a semi-discrete ordinary differential equation (ODE) system. Finally, we adopt an appropriate time-integration technique to obtain the full-discrete scheme. As concrete examples, we take the torus for illustration and solve some benchmark reaction-diffusion equations imposed on the torus at the end of the paper. However, the proposed method is general and works on time-dependent PDEs defined on any smooth closed parameterized surfaces without coordinate singularity. |
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AbstractList | The paper first provides an iterated quasi-interpolation scheme for function approximation over periodic domain and then attempts its applications to solve time-dependent surface partial differential equations (PDEs). The key feature of our scheme is that it gives an approximation directly just by taking a weighted average of the available discrete function values evaluated at sampling centers in the periodic domain. As such, it is simple, easy to compute, and the implementation process is stable. Moreover, if the sampling centers distribute uniformly over the periodic domain, it even preserves the same convergence order to all the derivatives. To employ the iterated quasi-interpolation scheme for solving time-dependent surface PDEs, we follow the framework of the method-of-lines. More precisely, we first reformulate the PDEs in terms of the parametric form of the surface. Then we use our quasi-interpolation scheme to approximate both the analytic solution and its spatial derivatives in the reformulated form (of PDEs) to get a semi-discrete ordinary differential equation (ODE) system. Finally, we adopt an appropriate time-integration technique to obtain the full-discrete scheme. As concrete examples, we take the torus for illustration and solve some benchmark reaction-diffusion equations imposed on the torus at the end of the paper. However, the proposed method is general and works on time-dependent PDEs defined on any smooth closed parameterized surfaces without coordinate singularity. |
ArticleNumber | 37 |
Author | Gao, Wenwu Sun, Zhengjie Yang, Ran |
Author_xml | – sequence: 1 givenname: Zhengjie orcidid: 0000-0002-9138-1173 surname: Sun fullname: Sun, Zhengjie organization: School of Mathematics and Statistics, Nanjing University of Science and Technology – sequence: 2 givenname: Wenwu surname: Gao fullname: Gao, Wenwu organization: School of Big Data and Statistics, Anhui University – sequence: 3 givenname: Ran surname: Yang fullname: Yang, Ran email: ryang19@fudan.edu.cn organization: Shanghai Key Laboratory for Contemporary Applied Mathematics, School of Mathematical Sciences, Fudan University |
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Keywords | Quasi-interpolation Derivative approximation 41A25 41A30 41A63 Torus Multiquadric trigonometric kernel Surface PDE 41A05 |
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SubjectTerms | Algorithms Approximation Computational Mathematics and Numerical Analysis Convergence Derivatives Discrete functions Exact solutions Fourier transforms Interpolation Mathematical analysis Mathematical and Computational Engineering Mathematical and Computational Physics Mathematics Mathematics and Statistics Method of lines Methods Numerical analysis Partial differential equations Reaction-diffusion equations Sampling Singularity (mathematics) Theoretical Time dependence Time integration Toruses |
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Title | A Convergent Iterated Quasi-interpolation for Periodic Domain and Its Applications to Surface PDEs |
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