Modified equations for weak stochastic symplectic schemes via their generating functions
Lijin Wang, Jialin Hong

TL;DR
This paper develops a systematic method using generating functions to construct modified equations for weak stochastic symplectic schemes applied to stochastic Hamiltonian systems, explaining their long-term numerical stability.
Contribution
It introduces a novel approach to derive modified equations for weak stochastic symplectic methods using generating functions, applicable to systems with additive or half-multiplicative noise.
Findings
Modified equations are perturbed stochastic Hamiltonian systems.
The approach explains the good long-term behavior of stochastic symplectic methods.
Applicable to systems with various noise types.
Abstract
In this paper, a systematic approach of constructing modified equations for weak stochastic symplectic methods of stochastic Hamiltonian systems is given via using the generating functions of the stochastic symplectic methods. This approach is valid for stochastic Hamiltonian systems with either additive noises or half-multiplicative noises, and we prove that the modified equation of the weak stochastic symplectic methods are perturbed stochastic Hamiltonian systems of the original systems, which reveals in certain sense the reason for the good long time numerical behavior of stochastic symplectic methods.
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Taxonomy
TopicsNumerical methods for differential equations · Advanced Numerical Methods in Computational Mathematics · Stochastic processes and financial applications
