English

Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems

Numerical Analysis 2023-08-08 v1 Numerical Analysis

Abstract

This work discusses the model reduction problem for large-scale multi-symplectic PDEs with cubic invariants. For this, we present a linearly implicit global energy-preserving method to construct reduced-order models. This allows to construct reduced-order models in the form of Hamiltonian systems suitable for long-time integration. Furthermore, We prove that the constructed reduced-order models preserve global energy, and the spatially discrete equations also preserve the spatially-discrete local energy conversation law. We illustrate the efficiency of the proposed method using three numerical examples, namely a linear wave equation, the Korteweg-de Vries equation, and the Camassa-Holm equation, and present a comparison with the classical POD-Galerkin method.

Keywords

Cite

@article{arxiv.2308.02625,
  title  = {Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems},
  author = {Süleyman Yildiz and Pawan Goyal and Peter Benner},
  journal= {arXiv preprint arXiv:2308.02625},
  year   = {2023}
}