Low-Rank Solvers for Energy-Conserving Hamiltonian Boundary Value Methods

Fuente: arXiv
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Autores principales: Durastante, Fabio, Mazza, Mariarosa
Formato: Preprint
Publicado: 2025
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author Durastante, Fabio
Mazza, Mariarosa
author_facet Durastante, Fabio
Mazza, Mariarosa
contents We study energy-conserving Hamiltonian Boundary Value Methods (HBVMs) for Hamiltonian systems, which arise in applications where long-term preservation of energy and symplecticity is essential. HBVMs are multi-stage schemes whose stage equations reformulate as matrix equations with a low-rank right-hand side. For linear systems, we exploit this structure directly via Krylov projection solvers. For nonlinear systems, we leverage it within simplified Newton iterations and as a preconditioner in a Newton--Krylov framework, combined with adaptive time-stepping for robust convergence. Numerical experiments on semi-discretized wave equations demonstrate the efficiency and robustness of the proposed approach.
format Preprint
id arxiv_https___arxiv_org_abs_2511_21597
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Low-Rank Solvers for Energy-Conserving Hamiltonian Boundary Value Methods
Durastante, Fabio
Mazza, Mariarosa
Numerical Analysis
65F08, 65L06, 65F45
We study energy-conserving Hamiltonian Boundary Value Methods (HBVMs) for Hamiltonian systems, which arise in applications where long-term preservation of energy and symplecticity is essential. HBVMs are multi-stage schemes whose stage equations reformulate as matrix equations with a low-rank right-hand side. For linear systems, we exploit this structure directly via Krylov projection solvers. For nonlinear systems, we leverage it within simplified Newton iterations and as a preconditioner in a Newton--Krylov framework, combined with adaptive time-stepping for robust convergence. Numerical experiments on semi-discretized wave equations demonstrate the efficiency and robustness of the proposed approach.
title Low-Rank Solvers for Energy-Conserving Hamiltonian Boundary Value Methods
topic Numerical Analysis
65F08, 65L06, 65F45
url https://arxiv.org/abs/2511.21597