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ANALYSIS AND APPLICATION OF FOURIER-GEGENBAUER METHOD TO STIFF DIFFERENTIAL EQUATIONS

机译:刚性微分方程的Fourier-Gengenbauer方法分析及应用

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摘要

The Fourier-Gegenbauer (FG) method, introduced by [Gottlieb, Shu, Solomonoff, and Vandeven, ICASE Report 92-4, Hampton, VA, 1992] is aimed at removing the Gibbs phenomenon; that is, recovering the point values of a nonperiodic function from its Fourier coefficients. In this paper, we discuss some numerical aspects of the FG method related to its pseudospectral implementation. Tn particular, we analyze the behavior of the Gegenbauer series with a moderate (several hundred) number of terms suitable for computations. We also demonstrate the ability of the FG method to get a spectrally accurate approximation on small subintervals for rapidly oscillating functions or functions having steep profiles. Bearing on the previous analysis, we suggest a high-order spectral Fourier method for the solution of nonperiodic differential equations. It includes a polynomial subtraction technique to accelerate the convergence of the Fourier series and the FG algorithm to evaluate derivatives on the boundaries of nonperiodic functions. The present hybrid Fourier-Gegenbauer (HFG) method possesses better resolution properties than the original FG method. The precision of this method is demonstrated by solving stiff elliptic problems with steep solutions. [References: 14]
机译:[Gottlieb,Shu,Solomonoff和Vandeven在ICASE报告92-4,弗吉尼亚州汉普顿,1992年]提出的傅里叶-基根鲍尔(FG)方法旨在消除吉布斯现象;即,从非周期函数的傅立叶系数中恢复其点值。在本文中,我们讨论了与伪谱实现有关的FG方法的一些数值方面。尤其是,我们使用适中(数百个)的项来分析Gegenbauer系列的行为,以适合计算。我们还证明了FG方法能够在小子间隔上获得光谱上精确的近似值,以实现快速振荡的函数或具有陡峭轮廓的函数。基于先前的分析,我们建议一种高阶谱傅立叶方法来求解非周期微分方程。它包括多项式减法技术以加速傅立叶级数的收敛,并包括FG算法以评估非周期函数边界上的导数。当前的混合傅里叶-基根鲍尔(HFG)方法具有比原始FG方法更好的分辨率特性。通过用陡峭的解决方案解决刚性椭圆问题证明了该方法的准确性。 [参考:14]

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