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An energy‐preserving Crank–Nicolson Galerkin method for Hamiltonian partial differential equations
Authors:Haochen Li  Yushun Wang  Qin Sheng
Institution:1. Jiangsu Key Laboratory for NSLSCS, School of Mathematical Sciences, Nanjing Normal University, Jiangsu, China;2. Department of Mathematics and Center for Astrophysics, Space Physics and Engineering Research, Baylor University, Waco, Texas
Abstract:A semidiscretization based method for solving Hamiltonian partial differential equations is proposed in this article. Our key idea consists of two approaches. First, the underlying equation is discretized in space via a selected finite element method and the Hamiltonian PDE can thus be casted to Hamiltonian ODEs based on the weak formulation of the system. Second, the resulting ordinary differential system is solved by an energy‐preserving integrator. The relay leads to a fully discretized and energy‐preserved scheme. This strategy is fully realized for solving a nonlinear Schrödinger equation through a combination of the Galerkin discretization in space and a Crank–Nicolson scheme in time. The order of convergence of our new method is urn:x-wiley:0749159X:media:num22062:num22062-math-0001 if the discrete L2‐norm is employed. An error estimate is acquired and analyzed without grid ratio restrictions. Numerical examples are given to further illustrate the conservation and convergence of the energy‐preserving scheme constructed.© 2016 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 32: 1485–1504, 2016
Keywords:Crank–  Nicolson method  energy‐preserving schemes  error estimate  Galerkin discretization  Hamiltonian equations  nonlinear Schrö  dinger equation
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