On the stability preserving of L1 scheme to nonlinear time-fractional Schrödinger delay equations

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2024-12-13 DOI:10.1016/j.matcom.2024.11.020
Zichen Yao, Zhanwen Yang, Lixin Cheng
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Abstract

In this paper, we investigate the stability preserving of L1 scheme to nonlinear time fractional Schrödinger delay equations. This kind of Schrödinger equation contains both nonlocal effect and time memory reaction term. We derive sufficient conditions to ensure the asymptotic stability of the analytical equations. After that, we approximate the equations via the Galerkin finite element method in space. We show that the semidiscrete numerical solutions can inherit the long time behavior of the solutions. After that, a fully discrete approximation of the equations is obtained by the L1 scheme and a linear interpolation procedure. We provide detailed estimations on the discrete operators that are obtained by the Z transform and its inverse. Together with a discrete fractional comparison principle, we prove that the L1 scheme preserves the stability of the underlying equations. The main results obtained in this work do not depend on spatial and temporal step sizes. A numerical example confirms the effectiveness of our derived method and validates the theoretical findings.
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非线性时间分数阶Schrödinger延迟方程L1格式的稳定性保持
本文研究了L1格式对非线性时间分数阶Schrödinger时滞方程的稳定性保持问题。这种Schrödinger方程既包含非局域效应,又包含时间记忆反应项。给出了保证解析方程渐近稳定的充分条件。在此基础上,利用伽辽金有限元法在空间上对方程进行近似。我们证明了半离散数值解可以继承解的长时间特性。然后,通过L1格式和线性插值程序得到方程的完全离散逼近。我们提供了由Z变换及其逆得到的离散算子的详细估计。结合离散分数比较原理,证明了L1格式保持了底层方程的稳定性。在这项工作中获得的主要结果不依赖于空间和时间步长。数值算例证实了本文方法的有效性,并验证了理论结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
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. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation 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. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
期刊最新文献
Editorial Board News of IMACS IMACS Calendar of Events Shifted Chebyshev collocation with CESTAC-CADNA-based instability detection for nonlinear Volterra–Hammerstein integral equations Approximation of generalized time fractional derivatives: Error analysis via scale and weight functions
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