Numerical integration of stochastic contact Hamiltonian systems via stochastic Herglotz variational principle
Qingyi Zhan, Jinqiao Duan, Xiaofan Li, Yuhong Li

TL;DR
This paper develops a structure-preserving stochastic integrator for contact Hamiltonian systems based on a stochastic Herglotz variational principle, validated through numerical experiments.
Contribution
It introduces a novel stochastic contact variational integrator derived from the stochastic Herglotz principle, enhancing numerical methods for stochastic contact Hamiltonian systems.
Findings
Successful construction of a stochastic contact variational integrator
Validation through numerical experiments demonstrating effectiveness
Preservation of geometric structure in stochastic systems
Abstract
In this work we construct a stochastic contact variational integrator and its discrete version via stochastic Herglotz variational principle for stochastic contact Hamiltonian systems. A general structure-preserving stochastic contact method is devised, and the stochastic contact variational integrators are established. The implementation of this approach is validated by the numerical experiments.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Model Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics
