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Energy-conserving methods for the nonlinear Schrödinger equation

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  • Barletti, L.
  • Brugnano, L.
  • Frasca Caccia, G.
  • Iavernaro, F.

Abstract

In this paper, we further develop recent results in the numerical solution of Hamiltonian partial differential equations (PDEs) (Brugnano et al., 2015), by means of energy-conserving methods in the class of Line Integral Methods, in particular, the Runge–Kutta methods named Hamiltonian Boundary Value Methods (HBVMs). We shall use HBVMs for solving the nonlinear Schrödinger equation (NLSE), of interest in many applications. We show that the use of energy-conserving methods, able to conserve a discrete counterpart of the Hamiltonian functional, confers more robustness on the numerical solution of such a problem.

Suggested Citation

  • Barletti, L. & Brugnano, L. & Frasca Caccia, G. & Iavernaro, F., 2018. "Energy-conserving methods for the nonlinear Schrödinger equation," Applied Mathematics and Computation, Elsevier, vol. 318(C), pages 3-18.
  • Handle: RePEc:eee:apmaco:v:318:y:2018:i:c:p:3-18
    DOI: 10.1016/j.amc.2017.04.018
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    References listed on IDEAS

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    1. Islas, A.L. & Schober, C.M., 2005. "Backward error analysis for multisymplectic discretizations of Hamiltonian PDEs," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(3), pages 290-303.
    2. Brugnano, L. & Frasca Caccia, G. & Iavernaro, F., 2015. "Energy conservation issues in the numerical solution of the semilinear wave equation," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 842-870.
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    Cited by:

    1. Luigi Brugnano & Gianluca Frasca-Caccia & Felice Iavernaro, 2019. "Line Integral Solution of Hamiltonian PDEs," Mathematics, MDPI, vol. 7(3), pages 1-28, March.
    2. Frasca-Caccia, Gianluca & Hydon, Peter E., 2021. "Numerical preservation of multiple local conservation laws," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    3. Vyacheslav Trofimov & Maria Loginova & Mikhail Fedotov & Daniil Tikhvinskii & Yongqiang Yang & Boyuan Zheng, 2022. "Conservative Finite-Difference Scheme for 1D Ginzburg–Landau Equation," Mathematics, MDPI, vol. 10(11), pages 1-24, June.
    4. Li, Haochen & Jiang, Chaolong & Lv, Zhongquan, 2018. "A Galerkin energy-preserving method for two dimensional nonlinear Schrödinger equation," Applied Mathematics and Computation, Elsevier, vol. 324(C), pages 16-27.
    5. Auzinger, Winfried & Hofstätter, Harald & Koch, Othmar & Kropielnicka, Karolina & Singh, Pranav, 2019. "Time adaptive Zassenhaus splittings for the Schrödinger equation in the semiclassical regime," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
    6. Amodio, Pierluigi & Brugnano, Luigi & Iavernaro, Felice, 2019. "A note on the continuous-stage Runge–Kutta(–Nyström) formulation of Hamiltonian Boundary Value Methods (HBVMs)," Applied Mathematics and Computation, Elsevier, vol. 363(C), pages 1-1.
    7. Vyacheslav Trofimov & Maria Loginova, 2021. "Conservative Finite-Difference Schemes for Two Nonlinear Schrödinger Equations Describing Frequency Tripling in a Medium with Cubic Nonlinearity: Competition of Invariants," Mathematics, MDPI, vol. 9(21), pages 1-26, October.
    8. Huang, Yifei & Peng, Gang & Zhang, Gengen & Zhang, Hong, 2023. "High-order Runge–Kutta structure-preserving methods for the coupled nonlinear Schrödinger–KdV equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 603-618.

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