Dokumentdetails
ID

oai:arXiv.org:2405.14484

Thema
Mathematics - Numerical Analysis
Autor
Hong, Jialin Hou, Baohui Sun, Liying
Kategorie

Computer Science

Jahr

2024

Auflistungsdatum

29.05.2024

Schlüsselwörter
symplectic schemes
Metrisch

Zusammenfassung

In this manuscript, we propose efficient stochastic semi-explicit symplectic schemes tailored for nonseparable stochastic Hamiltonian systems (SHSs).

These semi-explicit symplectic schemes are constructed by introducing augmented Hamiltonians and using symmetric projection.

In the case of the artificial restraint in augmented Hamiltonians being zero, the proposed schemes also preserve quadratic invariants, making them suitable for developing semi-explicit charge-preserved multi-symplectic schemes for stochastic cubic Schr\"odinger equations with multiplicative noise.

Through numerical experiments that validate theoretical results, we demonstrate that the proposed stochastic semi-explicit symplectic scheme, which features a straightforward Newton iteration solver, outperforms the traditional stochastic midpoint scheme in terms of effectiveness and accuracy.

Hong, Jialin,Hou, Baohui,Sun, Liying, 2024, Novel semi-explicit symplectic schemes for nonseparable stochastic Hamiltonian systems

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