High-order Lagrange multiplier schemes for general Hamiltonian PDEs
Yonghui Bo, Yushun Wang

TL;DR
This paper develops high-order, energy-preserving numerical schemes for Hamiltonian PDEs using a novel Lagrange multiplier approach that maintains the original energy exactly, broadening applicability and ensuring computational efficiency.
Contribution
Introduces a Lagrange multiplier method for constructing high-order energy-preserving schemes for Hamiltonian PDEs without requiring energy boundedness.
Findings
Exact energy preservation at discrete level
Broad applicability without energy boundedness requirement
Computational cost comparable to existing methods
Abstract
In this paper, we introduce a Lagrange multiplier approach to construct linearly implicit energy-preserving schemes of arbitrary order for general Hamiltonian PDEs. Unlike the widely used auxiliary variable methods, this novel approach does not require the nonlinear part of the energy to be bounded from below, thereby offering broader applicability. Moreover, this approach preserves the original energy exactly at both the continuous and discrete levels, as opposed to a modified energy preserved by the auxiliary variable methods. Rigorous proofs are provided for the energy conservation and numerical accuracy of all derived schemes. The trade-off for these advantages is the need to solve a nonlinear algebraic equation to determine the Lagrange multiplier. Nevertheless, numerical experiments show that the associated computational cost is generally not dominant, indicating that the new…
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Taxonomy
TopicsNumerical methods for differential equations · Advanced Numerical Methods in Computational Mathematics · Nonlinear Waves and Solitons
