It is challenging to develop high-order structure-preserving finite difference schemes for the modified two-component Euler-Poincare equations due to the nonlinear terms and high-order derivative terms. To overcome the difficulties, we introduce a bi-variate function and carefully choose the intermediate average variable in the temporal discretization. Then, we obtain a decoupled and linearly implicit scheme. It is shown that the fully-discrete scheme can keep both the discrete mass and energy conserved. And the fully-discrete scheme has fourth-order accuracy in the spatial direction and second-order accuracy in the temporal direction. Several numerical examples are given to confirm the theoretical results.
机构:
Univ Tokyo, Grad Sch Informat Sci & Technol, Dept Math Informat, Tokyo, JapanUniv Tokyo, Grad Sch Informat Sci & Technol, Dept Math Informat, Tokyo, Japan
Sato, Shun
Miyatake, Yuto
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Osaka Univ, Cybermedia Ctr, Osaka, JapanUniv Tokyo, Grad Sch Informat Sci & Technol, Dept Math Informat, Tokyo, Japan
Miyatake, Yuto
Butcher, John C.
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Univ Auckland, Dept Math, Auckland, New ZealandUniv Tokyo, Grad Sch Informat Sci & Technol, Dept Math Informat, Tokyo, Japan
机构:
Anhui Normal Univ, Dept Math, Wuhu 241000, Peoples R China
Nanjing Normal Univ, Jiangsu Collaborat Innovat Ctr Biomedial Funct Ma, Sch Math Sci, Jiangsu Key Lab NSLSCS, Nanjing 210023, Jiangsu, Peoples R ChinaAnhui Normal Univ, Dept Math, Wuhu 241000, Peoples R China
Bo, Yonghui
Cai, Wenjun
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Nanjing Normal Univ, Jiangsu Collaborat Innovat Ctr Biomedial Funct Ma, Sch Math Sci, Jiangsu Key Lab NSLSCS, Nanjing 210023, Jiangsu, Peoples R ChinaAnhui Normal Univ, Dept Math, Wuhu 241000, Peoples R China
Cai, Wenjun
Wang, Yushun
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Nanjing Normal Univ, Jiangsu Collaborat Innovat Ctr Biomedial Funct Ma, Sch Math Sci, Jiangsu Key Lab NSLSCS, Nanjing 210023, Jiangsu, Peoples R ChinaAnhui Normal Univ, Dept Math, Wuhu 241000, Peoples R China
Wang, Yushun
JOURNAL OF COMPUTATIONAL MATHEMATICS,
2022,
: 395
-
414
机构:
Natl Univ Def Technol, Coll Liberal Arts & Sci, Dept Math, Changsha 410073, Peoples R China
Yunnan Univ Finance & Econ, Sch Stat & Math, Kunming 650221, Yunnan, Peoples R ChinaNatl Univ Def Technol, Coll Liberal Arts & Sci, Dept Math, Changsha 410073, Peoples R China
Jiang, Chaolong
Qian, Xu
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机构:
Natl Univ Def Technol, Coll Liberal Arts & Sci, Dept Math, Changsha 410073, Peoples R ChinaNatl Univ Def Technol, Coll Liberal Arts & Sci, Dept Math, Changsha 410073, Peoples R China
Qian, Xu
Song, Songhe
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Natl Univ Def Technol, Coll Liberal Arts & Sci, Dept Math, Changsha 410073, Peoples R ChinaNatl Univ Def Technol, Coll Liberal Arts & Sci, Dept Math, Changsha 410073, Peoples R China
Song, Songhe
Cui, Jin
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机构:
Nanjing Vocat Coll Informat Technol, Dept Basic Sci, Nanjing 210023, Peoples R China
Nanjing Normal Univ, Sch Math Sci, Jiangsu Key Lab Numer Simulat Large Scale Complex, Nanjing 210023, Peoples R ChinaNatl Univ Def Technol, Coll Liberal Arts & Sci, Dept Math, Changsha 410073, Peoples R China
机构:
Nanjing Normal Univ, Jiangsu Collaborat Innovat Ctr Biomed Funct Mathe, Sch Math Sci, Nanjing 210023, Peoples R China
Jiangxi Normal Univ, Sch Math & Informat Sci, Nanchang, Jiangxi, Peoples R ChinaNanjing Normal Univ, Jiangsu Collaborat Innovat Ctr Biomed Funct Mathe, Sch Math Sci, Nanjing 210023, Peoples R China
Wang, Lan
Wang, Yushun
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Nanjing Normal Univ, Jiangsu Collaborat Innovat Ctr Biomed Funct Mathe, Sch Math Sci, Nanjing 210023, Peoples R ChinaNanjing Normal Univ, Jiangsu Collaborat Innovat Ctr Biomed Funct Mathe, Sch Math Sci, Nanjing 210023, Peoples R China