2025/05/06 by Erwan Faou, Faou, Erwan, Georg Maierhofer +3 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Analysis of PDEs (math.AP) #Control Systems and Identification #FOS: Mathematics #Image and Signal Denoising Methods #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
paper · pdf · doi:10.48550/arxiv.2505.03271
openalex publication_date 2025/05/06 · openalex created_date 2025/10/07 · openalex updated_date 2026/07/30
The use of symplectic numerical schemes on Hamiltonian systems is widely known to lead to favorable long-time behaviour. While this phenomenon is thoroughly understood in the context of finite-dimensional Hamiltonian systems, much less is known in the context of Hamiltonian PDEs. In this work we provide the first dimension-independent backward error analysis for a Runge-Kutta-type method, the midpoint rule, which shows the existence of a modified energy for this method when applied to nonlinear Schroedinger equations regardless of the level of spatial discretisation. We use this to establish long-time stability of the numerical flow for the midpoint rule.