Preservation of stability properties near fixed points of linear hamiltonian systems by symplectic integrators
Xiaohua Ding, Hongyu Liu, Zaijiu Shang, Geng Sun, Lingshu Wang

TL;DR
This paper investigates how symplectic integrators, specifically SRK and SPRK methods, preserve stability structures near fixed points in linear Hamiltonian systems, providing practical criteria for step-size selection.
Contribution
It introduces structure-preservation regions for symplectic methods applied to linear Hamiltonian systems, aiding in effective step-size choice and stability preservation.
Findings
Structure-preservation regions are identified for symplectic integrators.
Practical criteria for step-size selection are proposed.
Examples demonstrate the effectiveness of the methods.
Abstract
Based on reasonable testing model problems, we study the preservation by symplectic Runge-Kutta method (SRK) and symplectic partitioned Runge-Kutta method (SPRK) of structures for fixed points of linear Hamiltonian systems. The structure-preservation region provides a practical criterion for choosing step-size in symplectic computation. Examples are given to justify the investigation.
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Taxonomy
TopicsNumerical methods for differential equations · Matrix Theory and Algorithms · Advanced Numerical Methods in Computational Mathematics
