利用切比雪夫多项式的 Galerkin 和 Petrov-Galerkin 频谱法研究 Orr-Sommerfeld 和感应方程

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-11-09 DOI:10.1016/j.cam.2024.116374
Anna Piterskaya, Mikael Mortensen
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引用次数: 0

摘要

文章讨论了两种光谱方法,即 Galerkin 方法和 Petrov-Galerkin 方法,用于描述切向磁场存在时导电流体流动的磁流体动力学(MHD)方程的线性稳定性分析。通过研究 Orr-Sommerfeld (OS) 和感应方程最不稳定的特征解,比较了这两种方法的稳定性和频谱精度。本研究中使用的 Petrov-Galerkin 光谱法(PGSM)是通过选择总是导致带状系数矩阵的函数空间和基函数而开发的。相反,当在加权内积空间中使用切比雪夫多项式时,Galerkin 频谱方法(GSM)会导致矩阵密集。我们发现,GSM 和 PGSM 都能产生最小舍入误差的结果,这一点在计算 OS 方程中最不稳定的特征值(Re =104)时得到了证实,精确到小数点后 14 位的双精度。我们的研究表明,对于操作系统方程以及耦合操作系统方程和感应方程,通过适当比例的基函数,GSM 可以得到具有有界条件数的系数矩阵。这使得 GSM 和 PGSM 在任何 N 数下都能获得双精度的精确结果。对条件数不同行为的分析表明,基于切比雪夫多项式提出的两种方法可以成为一种有用的计算机工具,能够在非常高的雷诺数下找到流体力学方程和 MHD 方程的数值解。
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A study of the Orr–Sommerfeld and induction equations by Galerkin and Petrov–Galerkin spectral methods utilizing Chebyshev polynomials
The article discusses two spectral methods, namely the Galerkin and the Petrov–Galerkin methods, for linear stability analysis of magneto-hydrodynamic (MHD) equations describing the flow of an electrically conducting fluid in the presence of a tangential magnetic field. The stability and spectral accuracy of both methods have been compared by examining the most unstable eigensolution of the Orr–Sommerfeld (OS) and induction equations. The Petrov–Galerkin spectral method (PGSM) used in this work has been developed by choosing function spaces and basis functions that always lead to banded coefficient matrices. The Galerkin spectral method (GSM), on the contrary, leads to dense matrices when Chebyshev polynomials are utilized in a weighted inner product space. We have found that both the GSM and the PGSM can produce results with minimal round-off errors, as confirmed by computing the most unstable eigenvalue of the OS equations (Re =104) to 14 decimal places of accuracy in double precision. We show that with properly scaled basis functions the GSM leads to coefficient matrices with bounded condition numbers, both for the OS equation and for the coupled OS and induction equations. This allows to achieve accurate results with double precision for any number of N for both the GSM and the PGSM. The analysis of the different behavior of the condition numbers suggests that the proposed two methods, based on the Chebyshev polynomials, can become a useful computer-based tool that is capable of finding a numerical solution to both the hydrodynamic and the MHD equations at very high Reynolds numbers.
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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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Editorial Board Fast convergence rates and trajectory convergence of a Tikhonov regularized inertial primal–dual dynamical system with time scaling and vanishing damping Developing and analyzing a FDTD method for simulation of metasurfaces An immersed interface neural network for elliptic interface problems A stochastic Bregman golden ratio algorithm for non-Lipschitz stochastic mixed variational inequalities with application to resource share problems
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