Exponential Stability Estimate of Symplectic Integrators for Integrable Hamiltonian Systems
Zhaodong Ding, Zaijiu Shang, Bo Xie

TL;DR
This paper establishes exponential stability estimates for symplectic integrators applied to integrable Hamiltonian systems, enhancing understanding of their long-term behavior and stability in nonlinear dynamics.
Contribution
It proves a Nekhoroshev-type theorem for nearly integrable symplectic maps and derives bounds on perturbations and action variable variations, advancing stability analysis of symplectic algorithms.
Findings
Exponential bounds for perturbations and action variations
Enhanced stability estimates for symplectic integrators
Deeper understanding of nonlinear dynamical behavior
Abstract
We prove a Nekhoroshev-type theorem for nearly integrable symplectic map. As an application of the theorem, we obtain the exponential stability symplectic algorithms. Meanwhile, we can get the bounds for the perturbation, the variation of the action variables, and the exponential time respectively. These results provide a new insight into the nonlinear stability analysis of symplectic algorithms. Combined with our previous results on the numerical KAM theorem for symplectic algorithms (2018), we give a more complete characterization on the complex nonlinear dynamical behavior of symplectic algorithms.
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Taxonomy
TopicsNumerical methods for differential equations · Quantum chaos and dynamical systems · Advanced Numerical Methods in Computational Mathematics
