求解刚性初值问题的四阶变步长块向后微分公式超类的收敛性

Bala Najamuddeen, Musa Hamisu
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摘要

在许多研究领域,如科学和工程,各种现实生活中的问题在解决之前都是作为数学模型创建的。这些模型通常导致一类特殊的常微分方程,称为刚性微分方程。一个系统被认为是“僵硬的”;如果现有的显式数值方法不能有效地对其进行积分,或者当步长由其稳定性要求而不是精度要求来决定时。由于系统表现出的时间尺度差异很大,刚性ode溶液中含有一个缓慢和快速衰减速率的组分。传统的显式方法由于其刚度特性而不能有效地处理该问题。刚性ode的这种性质导致了在开发许多隐式数学方法方面的大量研究工作。讨论了目前用于求解刚性初值问题的变步长块向后微分公式(BBDF)超类的收敛性和阶性。本文建立了求解刚性初值问题的四阶变步长BBDF超类收敛的必要条件。结果表明,新方法具有零稳定性和一致性,这是任何数值方法收敛的必要条件。该方法的阶数也推导为4。结果表明,该方法是收敛性的,对求解更复杂的刚性初值问题具有重要意义,可以鲁棒地应用于许多研究领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convergence of the Fourth Order Variable Step Size Super Class of Block Backward Differentiation Formula for Solving Stiff Initial Value Problems
In many fields of study such as science and engineering, various real life problems are created as mathematical models before they are solved. These models often lead to special class of ordinary differential equations known as stiff ODEs. A system is regarded as ‘stiff’; if the existing explicit numerical methods fail to efficiently integrate it, or when the step size is determined by the requirements of its stability, rather than the accurateness. The solution of stiff ODEs contains a component with both slowly and rapidly decaying rates due to a large difference in the time scale exhibited by the system. The stiffness property prevents the conventional explicit method from handling the problem efficiently. This nature of stiff ODEs has led to considerable research efforts in developing many implicit mathematical methods. This paper discussed the convergence and order of the current variable step size super-class of block backward differentiation formula (BBDF) for solving stiff initial value problems. The necessary conditions for the convergence of the fourth order variable step size super class of BBDF for solving stiff initial value problems, has been established in this work. It has been shown that the new method is both zero-stable and consistent, which are the requirements for the convergence of any numerical method. The order of the method is also derived to be four. It is therefore concluded that the method is convergent and has significance in solving more complex stiff initial value problems, and could be robustly applied in many fields of study.
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