{"title":"Stochastic conformal symplectic exponential Runge–Kutta–Nyström integrators for solving damped second-order SDEs with applications in damped stochastic nonlinear wave equations","authors":"Feng Wang, Qiang Ma, Zhenyu Wang, Xiaohua Ding","doi":"10.1016/j.cnsns.2025.108874","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we propose implicit and explicit stochastic conformal symplectic exponential Runge–Kutta–Nyström (SCSE-RKN) integrators to solve second-order stochastic differential equations (SDEs) with constant or time-dependent damping. Under certain conditions on coefficient functions, the conformal quadratic invariants of damped second-order SDEs exist. Furthermore, the corresponding damped stochastic Hamiltonian systems are conformal symplectic. We theoretically and experimentally demonstrate that the implicit and explicit SCSE-RKN integrators preserve the conformal quadratic invariant and conformal symplectic structure accurately. Additionally, we establish the existence and uniqueness of numerical solution for the implicit SCSE-RKN integrator. And we provide a detailed analysis of the mean-square convergence orders for both implicit and explicit SCSE-RKN integrators. In comparison to other classical methods, our proposed integrators exhibit superior structure-preserving performance, higher accuracy, and better efficiency. Using the SCSE-RKN integrators in the time direction, we achieve excellent numerical results for two renowned damped stochastic nonlinear wave equations.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"148 ","pages":"Article 108874"},"PeriodicalIF":3.4000,"publicationDate":"2025-04-24","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/S1007570425002850","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
In this paper, we propose implicit and explicit stochastic conformal symplectic exponential Runge–Kutta–Nyström (SCSE-RKN) integrators to solve second-order stochastic differential equations (SDEs) with constant or time-dependent damping. Under certain conditions on coefficient functions, the conformal quadratic invariants of damped second-order SDEs exist. Furthermore, the corresponding damped stochastic Hamiltonian systems are conformal symplectic. We theoretically and experimentally demonstrate that the implicit and explicit SCSE-RKN integrators preserve the conformal quadratic invariant and conformal symplectic structure accurately. Additionally, we establish the existence and uniqueness of numerical solution for the implicit SCSE-RKN integrator. And we provide a detailed analysis of the mean-square convergence orders for both implicit and explicit SCSE-RKN integrators. In comparison to other classical methods, our proposed integrators exhibit superior structure-preserving performance, higher accuracy, and better efficiency. Using the SCSE-RKN integrators in the time direction, we achieve excellent numerical results for two renowned damped stochastic nonlinear wave equations.
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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.
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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.
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