{"title":"Error estimates for a class of energy dissipative IMEX Runge–Kutta schemes applied to the no-slope-selection thin film model","authors":"Xueqing Teng , Xiaowei Chen , Hong Zhang","doi":"10.1016/j.cnsns.2025.108797","DOIUrl":null,"url":null,"abstract":"<div><div>In this work, we rigorously establish the convergence analysis and error estimates for a class of up to third-order implicit-explicit Runge–Kutta (IMEX RK) schemes for the no-slope-selection (NSS) thin film growth model, which follows from detailed eigenvalue bound estimates for constructed operators and nonlinear analysis of the NSS equation. To our knowledge, this convergence analysis is the first such result of applying a third-order accurate IMEX RK scheme to the epitaxial growth model. Additionally, by introducing a linear stabilization term to the system and employing the Fourier pseudo-spectral method for spatial discretization, we reestablish the energy stability of the first- to third-order IMEX RK schemes in a concise way. Numerical experiments are performed to verify the accuracy of the scheme, and to illustrate some theoretical results such as mass conservation, energy decay rate, and growth rates of surface roughness and mound width.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"147 ","pages":"Article 108797"},"PeriodicalIF":3.4000,"publicationDate":"2025-04-12","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/S1007570425002084","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 work, we rigorously establish the convergence analysis and error estimates for a class of up to third-order implicit-explicit Runge–Kutta (IMEX RK) schemes for the no-slope-selection (NSS) thin film growth model, which follows from detailed eigenvalue bound estimates for constructed operators and nonlinear analysis of the NSS equation. To our knowledge, this convergence analysis is the first such result of applying a third-order accurate IMEX RK scheme to the epitaxial growth model. Additionally, by introducing a linear stabilization term to the system and employing the Fourier pseudo-spectral method for spatial discretization, we reestablish the energy stability of the first- to third-order IMEX RK schemes in a concise way. Numerical experiments are performed to verify the accuracy of the scheme, and to illustrate some theoretical results such as mass conservation, energy decay rate, and growth rates of surface roughness and mound width.
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.
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