{"title":"Regularity and strong convergence of numerical approximations for stochastic wave equations with multiplicative fractional Brownian motions","authors":"Dehua Wang , Xiao-Li Ding , Lili Zhang , Xiaozhou Feng","doi":"10.1016/j.cnsns.2025.108648","DOIUrl":null,"url":null,"abstract":"<div><div>Stochastic wave equations with multiplicative fractional Brownian motions (fBms) provide a competitive means to describe wave propagation process driven by inner fractional noise. However, regularity theory and approximate solutions of such equations is still an unsolved problem until now. In this paper, we achieve some progress on the regularity and strong convergence of numerical approximations for a class of semilinear stochastic wave equations with multiplicative fBms. Firstly, we impose some suitable assumptions on the nonlinear term multiplied by fBms and its Malliavin derivatives, and analyze the temporal and spatial regularity of stochastic convolution operator under the assumptions for two cases <span><math><mrow><mi>H</mi><mo>∈</mo><mrow><mo>(</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>)</mo></mrow></mrow></math></span> and <span><math><mrow><mi>H</mi><mo>∈</mo><mrow><mo>(</mo><mn>1</mn><mo>/</mo><mn>2</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span>. Using the obtained regularity results of the stochastic convolution operator, we further establish the regularity theory of mild solution of the equation, and reveal quantitatively the influence of Hurst parameter on the regularity of the mild solution. Besides that, we give a fully discrete scheme for the stochastic wave equation and analyze its strong convergence. Finally, two numerical examples are carried out to verify the theoretical findings.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"143 ","pages":"Article 108648"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-06","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/S1007570425000590","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 wave equations with multiplicative fractional Brownian motions (fBms) provide a competitive means to describe wave propagation process driven by inner fractional noise. However, regularity theory and approximate solutions of such equations is still an unsolved problem until now. In this paper, we achieve some progress on the regularity and strong convergence of numerical approximations for a class of semilinear stochastic wave equations with multiplicative fBms. Firstly, we impose some suitable assumptions on the nonlinear term multiplied by fBms and its Malliavin derivatives, and analyze the temporal and spatial regularity of stochastic convolution operator under the assumptions for two cases and . Using the obtained regularity results of the stochastic convolution operator, we further establish the regularity theory of mild solution of the equation, and reveal quantitatively the influence of Hurst parameter on the regularity of the mild solution. Besides that, we give a fully discrete scheme for the stochastic wave equation and analyze its strong convergence. Finally, two numerical examples are carried out to verify the theoretical findings.
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.
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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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