分块哈密顿系统的辛GARK方法
Symplectic GARK methods for partitioned Hamiltonian systems
AI总结:
本研究针对加法分块哈密顿系统推导辛GARK格式,给出辛性、对称性及时间可逆性条件,提出兼具辛性与对称性的格式构造方法,还针对势能动能拆分场景利用多时间尺度与阶数差异实现高效数值求解。
摘要:
广义加法Runge-Kutta(GARK)格式已被证明是求解右端项为加法分块形式的常微分方程的合适工具。本研究针对加法分块哈密顿系统,推导了辛GARK格式。在一般框架下,我们得出了辛性、对称性以及时间可逆性的满足条件,同时展示了如何基于仅具备辛性或仅具备对称性的格式,构造兼具辛性与对称性的格式。研究还重点关注了哈密顿量拆分为多个势能与动能项的分块格式特例。最后我们阐明,辛GARK格式可利用不同势能项的时间尺度与计算成本差异,通过对各部分采用不同阶数,提供高效的数值求解方案。
英文摘要:
Generalized Additive Runge-Kutta schemes have shown to be a suitable tool for solving ordinary differential equations with additively partitioned right-hand sides. This work develops symplectic GARK schemes for additively partitioned Hamiltonian systems. In a general setting, we derive conditions for symplecticness, as well as symmetry and time-reversibility. We show how symplectic and symmetric schemes can be constructed based on schemes which are only symplectic, or only symmetric. Special attention is given to the special case of partitioned schemes for Hamiltonians split into multiple potential and kinetic energies. Finally we show how symplectic GARK schemes can leverage different time scales and evaluation costs for different potentials, and provide efficient numerical solutions by using different order for these parts.
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