Efficient Structure Preserving Schemes for the Klein-Gordon-Schrodinger Equations
被引:9
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作者:
Zhang, Yanrong
论文数: 0引用数: 0
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机构:
Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Xiamen Univ, Fujian Prov Key Lab Math Modeling & High Performa, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Zhang, Yanrong
[1
,2
]
Shen, Jie
论文数: 0引用数: 0
h-index: 0
机构:
Purdue Univ, Dept Math, W Lafayette, IN 47907 USAXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Shen, Jie
[3
]
机构:
[1] Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
[2] Xiamen Univ, Fujian Prov Key Lab Math Modeling & High Performa, Xiamen 361005, Fujian, Peoples R China
[3] Purdue Univ, Dept Math, W Lafayette, IN 47907 USA
We construct three efficient and accurate numerical methods for solving the Klein-Gordon-Schrodinger (KGS) equations with/without damping terms. The first one is based on the original SAV approach, it preserves a modified Hamiltonian but does not preserve the wave energy. The second one is based on the Lagrange multiplier SAV approach, it preserves both the original Hamiltonian and wave energy, but requires solving a nonlinear algebraic system which may require smaller time steps to have real solutions. The third one is also based on the Lagrange multiplier approach and preserves the Hamiltonian and wave energy in a slightly different form, but it leads to a nonlinear quadratic system for the Lagrange multiplier which can always be explicitly solved. We present ample numerical tests to validate the three schemes, and provide a comparison on the efficiency and accuracy of the three schemes for the KGS equations.
机构:
Chinese Univ Hong Kong, Mech & Automat Engn, Shatin, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
Wang, Quan-Fang
2016 EUROPEAN CONTROL CONFERENCE (ECC),
2016,
: 2253
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2257
机构:
Huaiyin Normal Univ, Sch Math Sci, Huaian 223300, Jiangsu, Peoples R ChinaHuaiyin Normal Univ, Sch Math Sci, Huaian 223300, Jiangsu, Peoples R China