Stability analysis of explicit exponential Rosenbrock methods for stiff differential equations with constant delay

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2024-07-30 DOI:10.1016/j.amc.2024.128978
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Abstract

Delay differential equations have been used to model numerous phenomena in nature. We extend the previous work of one of the authors to analyze the stability properties of the explicit exponential Rosenbrock methods for stiff differential equations with constant delay. We first derive sufficient conditions so that the exponential Rosenbrock methods satisfy the desired stability property. We accomplish this without relying on some extreme constraints, which are usually necessary in stability analysis. Then, with the aid of the integral form of the method coefficients, we provide a simple stability criterion that can be easily verified. We also present a theorem on the order barrier for the proposed methods, stating that there is no method of order five or higher that satisfies the simple criterion. Numerical tests are carried out to validate the theoretical results.

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具有恒定延迟的刚性微分方程的显式指数罗森布洛克方法的稳定性分析
延迟微分方程已被用于模拟自然界的许多现象。我们扩展了其中一位作者以前的工作,分析了具有恒定延迟的刚性微分方程的显式指数 Rosenbrock 方法的稳定性。我们首先推导出充分条件,使指数罗森布洛克方法满足所需的稳定性。我们无需依赖一些极端约束条件就能做到这一点,而这些约束条件通常是稳定性分析中所必需的。然后,借助方法系数的积分形式,我们提供了一个易于验证的简单稳定性准则。我们还提出了一个关于所提方法阶数障碍的定理,指出不存在满足该简单准则的五阶或更高阶的方法。我们还进行了数值测试,以验证理论结果。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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