Uniformly accurate nested Picard iterative schemes for nonlinear Schrodinger equation with highly oscillatory potential
被引:3
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作者:
Li, Jiyong
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机构:
Hebei Normal Univ, Hebei Int Joint Res Ctr Math & Interdisciplinary S, Sch Math Sci, Hebei Key Lab Computat Math & Applicat, Shijiazhuang 050024, Peoples R ChinaHebei Normal Univ, Hebei Int Joint Res Ctr Math & Interdisciplinary S, Sch Math Sci, Hebei Key Lab Computat Math & Applicat, Shijiazhuang 050024, Peoples R China
Li, Jiyong
[1
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机构:
[1] Hebei Normal Univ, Hebei Int Joint Res Ctr Math & Interdisciplinary S, Sch Math Sci, Hebei Key Lab Computat Math & Applicat, Shijiazhuang 050024, Peoples R China
The nonlinear Schrodinger equation with a highly oscillatory potential (NLSE-OP) often appears in many multiscale dynamical systems, where the temporal oscillation causes the major numerical difficulties. Recently, the splitting schemes (Su et al., 2020) were analyzed rigorously for solving the NL SE-OP and the error bounds show that they are only uniformly first-order accurate. This obviously can not meet the requirement of high precision in actual calculation. In this paper, in order to obtain a higher uniform convergence order, we study the nested Picard iterative (NPI) schemes for the NL SE -OP with polynomial nonlinearity. Firstly we propose a uniformly accurate first-order exponential wave integrator (EWI) scheme for arbitrary nonlinearity by integrating the potential exactly. Then we construct a uniformly accurate second-order NPI scheme for the NL SE-OP with polynomial nonlinearity. The schemes are fully explicit and very efficient due to the fast Fourier transform (FFT). We give rigorously error analysis and establish error bounds for the numerical solutions without any CFL-type condition constraint. Numerical experiments prove the correctness of our theoretical analysis and the effectiveness of our schemes. Theoretically, our schemes can be extended to uniformly accurate arbitrary high order for the NLSE-OP.& COPY; 2023 IMACS. Published by Elsevier B.V. All rights reserved.
机构:
Nanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R ChinaNanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R China
Zhou, Xuanxuan
Cai, Yongyong
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Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Minist Educ, Beijing 100875, Peoples R ChinaNanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R China
Cai, Yongyong
Tang, Xingdong
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机构:
Nanjing Univ Informat Sci & Technol, Sch Math & Stat, Nanjing 210044, Peoples R ChinaNanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R China
Tang, Xingdong
Xu, Guixiang
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机构:
Beijing Normal Univ, Sch Math Sci, Lab Math & Complex Syst, Minist Educ, Beijing 100875, Peoples R ChinaNanjing Univ Sci & Technol, Sch Math & Stat, Nanjing, Peoples R China