Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains

Many PDEs involving fractional Laplacian are naturally set in unbounded domains with underlying solutions decaying slowly and subject to certain power law. Their numerical solutions are underexplored. This paper aims at developing accurate spectral methods using rational basis (or modified mapped Ge...

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Main Authors: Tang, Tao, Wang, Li-Lian, Yuan, Huifang, Zhou, Tao
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/145020
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1450202023-02-28T19:54:49Z Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains Tang, Tao Wang, Li-Lian Yuan, Huifang Zhou, Tao School of Physical and Mathematical Sciences Science::Mathematics Fractional Laplacian Gegenbauer Polynomials Many PDEs involving fractional Laplacian are naturally set in unbounded domains with underlying solutions decaying slowly and subject to certain power law. Their numerical solutions are underexplored. This paper aims at developing accurate spectral methods using rational basis (or modified mapped Gegenbauer functions) for such models in unbounded domains. The main building block of the spectral algorithms is the explicit representations for the Fourier transform and fractional Laplacian of the rational basis, derived from some useful integral identities related to modified Bessel functions. With these at our disposal, we can construct rational spectral-Galerkin and direct collocation schemes by precomputing the associated fractional differentiation matrices. We obtain optimal error estimates of rational spectral approximation in the fractional Sobolev spaces and analyze the optimal convergence of the proposed Galerkin scheme. We also provide ample numerical results to show that the rational method outperforms the Hermite function approach. Ministry of Education (MOE) Published version The work of the first author was supported by the NSF of China under grant 11731006and the Science Challenge Project via grant TZ2018001. The work of the second author was sup-ported by Singapore MOE AcRF Tier 2 grants MOE2018-T2-1-059 and MOE2017-T2-2-144. Thework of the third author was supported by a Hong Kong Ph.D. fellowship. The work of the fourthauthor was partially supported by the NSF of China under grants 11822111, 11688101, and 11571351,the Science Challenge Project under TZ2018001, and the Youth Innovation Promotion Association(CAS). 2020-12-08T08:50:16Z 2020-12-08T08:50:16Z 2020 Journal Article Tang, T., Wang, L.-L., Yuan, H., & Zhou, T. (2020). Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains. SIAM Journal on Scientific Computing, 42(2), A585-A611. doi:10.1137/19M1244299 1064-8275 https://hdl.handle.net/10356/145020 10.1137/19M1244299 2 42 A585 A611 en MOE2018-T2-1-059 MOE2017-T2-2-144 SIAM Journal on Scientific Computing © 2020 Society for Industrial and Applied Mathematics. All rights reserved. This paper was published in SIAM Journal on Scientific Computing and is made available with permission of Society for Industrial and Applied Mathematics. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics
Fractional Laplacian
Gegenbauer Polynomials
spellingShingle Science::Mathematics
Fractional Laplacian
Gegenbauer Polynomials
Tang, Tao
Wang, Li-Lian
Yuan, Huifang
Zhou, Tao
Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains
description Many PDEs involving fractional Laplacian are naturally set in unbounded domains with underlying solutions decaying slowly and subject to certain power law. Their numerical solutions are underexplored. This paper aims at developing accurate spectral methods using rational basis (or modified mapped Gegenbauer functions) for such models in unbounded domains. The main building block of the spectral algorithms is the explicit representations for the Fourier transform and fractional Laplacian of the rational basis, derived from some useful integral identities related to modified Bessel functions. With these at our disposal, we can construct rational spectral-Galerkin and direct collocation schemes by precomputing the associated fractional differentiation matrices. We obtain optimal error estimates of rational spectral approximation in the fractional Sobolev spaces and analyze the optimal convergence of the proposed Galerkin scheme. We also provide ample numerical results to show that the rational method outperforms the Hermite function approach.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Tang, Tao
Wang, Li-Lian
Yuan, Huifang
Zhou, Tao
format Article
author Tang, Tao
Wang, Li-Lian
Yuan, Huifang
Zhou, Tao
author_sort Tang, Tao
title Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains
title_short Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains
title_full Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains
title_fullStr Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains
title_full_unstemmed Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains
title_sort rational spectral methods for pdes involving fractional laplacian in unbounded domains
publishDate 2020
url https://hdl.handle.net/10356/145020
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