{"title":"Numerical integrations of stochastic contact Hamiltonian systems via stochastic contact Hamilton–Jacobi equation","authors":"Qingyi Zhan , Jinqiao Duan , Lijin Wang","doi":"10.1016/j.cnsns.2025.108986","DOIUrl":null,"url":null,"abstract":"<div><div>Stochastic contact Hamiltonian systems are an important class of mathematical models, which can describe the dissipative properties with odd dimensions in random scenario. In this article, we investigate the dynamics of the systems via structure-preserving numerical methods. The contact structure-preserving schemes are constructed by the stochastic contact Hamilton–Jacobi equation. A general numerical approximation method of the stochastic contact Hamilton–Jacobi equation is devised, and convergence order theorem is provided. Numerical tests are shown to confirm the theoretical results and the advantages of proposed approach.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"150 ","pages":"Article 108986"},"PeriodicalIF":3.4000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425003971","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Stochastic contact Hamiltonian systems are an important class of mathematical models, which can describe the dissipative properties with odd dimensions in random scenario. In this article, we investigate the dynamics of the systems via structure-preserving numerical methods. The contact structure-preserving schemes are constructed by the stochastic contact Hamilton–Jacobi equation. A general numerical approximation method of the stochastic contact Hamilton–Jacobi equation is devised, and convergence order theorem is provided. Numerical tests are shown to confirm the theoretical results and the advantages of proposed approach.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.