Daniel G. Alfaro Vigo , Daniele C.R. Gomes , Bruno A. do Carmo , Mauro A. Rincon
{"title":"Convergence analysis of a Schrödinger problem with moving boundary","authors":"Daniel G. Alfaro Vigo , Daniele C.R. Gomes , Bruno A. do Carmo , Mauro A. Rincon","doi":"10.1016/j.matcom.2025.04.042","DOIUrl":null,"url":null,"abstract":"<div><div>In this article, we present the mathematical analysis of the convergence of the linearized Crank–Nicolson Galerkin method for a nonlinear Schrödinger problem related to a domain with a moving boundary. The convergence analysis of the numerical method is carried out for both semidiscrete and fully discrete problems. We establish an optimal error estimate in the <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>-norm with order <span><math><mrow><mi>O</mi><mrow><mo>(</mo><msup><mrow><mi>τ</mi></mrow><mrow><mn>2</mn></mrow></msup><mo>+</mo><msup><mrow><mi>h</mi></mrow><mrow><mi>s</mi></mrow></msup><mo>)</mo></mrow><mo>,</mo><mspace></mspace><mn>2</mn><mo>≤</mo><mi>s</mi><mo>≤</mo><mi>r</mi></mrow></math></span>, where <span><math><mi>h</mi></math></span> is the finite element mesh size, <span><math><mi>τ</mi></math></span> is the time step, and <span><math><mrow><mi>r</mi><mo>−</mo><mn>1</mn></mrow></math></span> represents the degree of the finite element polynomial basis. Numerical simulations are provided to confirm the consistency between theoretical and numerical results, validating the method and the order of convergence for different degrees <span><math><mrow><mi>p</mi><mo>≥</mo><mn>1</mn></mrow></math></span> of the Lagrange polynomials and also for Hermite polynomials (degree <span><math><mrow><mi>p</mi><mo>=</mo><mn>3</mn></mrow></math></span>), which form the basis of the approximate solution.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"238 ","pages":"Pages 45-64"},"PeriodicalIF":4.4000,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics and Computers in Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378475425001806","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, we present the mathematical analysis of the convergence of the linearized Crank–Nicolson Galerkin method for a nonlinear Schrödinger problem related to a domain with a moving boundary. The convergence analysis of the numerical method is carried out for both semidiscrete and fully discrete problems. We establish an optimal error estimate in the -norm with order , where is the finite element mesh size, is the time step, and represents the degree of the finite element polynomial basis. Numerical simulations are provided to confirm the consistency between theoretical and numerical results, validating the method and the order of convergence for different degrees of the Lagrange polynomials and also for Hermite polynomials (degree ), which form the basis of the approximate solution.
期刊介绍:
The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles.
Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO.
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•The foundations of systems modelling
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They also include considerations about computer hardware for simulation and about special software and compilers.
The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research.
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