分数阶振荡模型的广义指数时差

IF 2.4 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-06-01 Epub Date: 2024-12-25 DOI:10.1016/j.cam.2024.116456
Aljowhara H. Honain , Khaled M. Furati , Ibrahim O. Sarumi , Abdul Q.M. Khaliq
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引用次数: 0

摘要

振荡发生在各种过程中,对于理解、分析和模拟现实世界的现象具有重要意义。振荡型分数进化方程为模拟一些异常振荡行为提供了有效的工具。一般来说,这些方程的解表现出振荡行为,有时可能是不稳定的。因此,开发有效的数值方法来充分捕捉这些解的振荡行为是具有挑战性的。本文针对一类分数阶振荡模型,提出了一种有效的二阶数值格式。该方案基于指数时差技术、mittagg - leffler函数的特殊近似和非均匀网格。对该方法进行了收敛性和稳定性分析,并通过数值实验进行了验证。特别地,我们说明了数值格式作为分数阶扩散波方程的时间积分器的潜力。
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Generalized exponential time differencing for fractional oscillation models
Oscillations occur in various processes and are of great significance for understanding, analyzing and simulating real-world phenomena. Fractional evolution equations of oscillatory type provide an effective tool to model some anomalous oscillatory behaviors. Generally, solutions of these equations exhibit oscillatory behavior which can sometimes be erratic. Therefore, developing efficient numerical methods that adequately capture the oscillatory behavior of these solutions can be challenging. In this paper, an efficient novel second-order numerical scheme is developed for a class of fractional oscillation models. The scheme is based on the exponential time differencing technique, special approximations of Mittag-Leffler function, and the non-uniform mesh. Convergence and the stability analysis are conducted and verified through numerical experiments. In particular, we illustrate the potential of the numerical scheme as a time integrator for fractional diffusion-wave equations.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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