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Recovering exponential accuracy from collocation point values of smooth functions with end-point singularities

机译:从具有端点奇点的光滑函数的并置点值恢复指数精度

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摘要

Gibbs phenomenon is the particular manner how a global spectral approximation of a piecewise analytic function behaves at the jump discontinuity. The truncated spectral series has large oscillations near the jump, and the overshoot does not decay as the number of terms in the truncated series increases. There is therefore no convergence in the maximum norm, and convergence in smooth regions away from the discontinuity is also slow. In Gottlieb and Shu (1995) [5], a methodology is proposed to completely overcome this difficulty in the context of spectral collocation methods, resulting in the recovery of exponential accuracy from collocation point values of a piecewise analytic function. In this paper, we extend this methodology to handle spectral collocation methods for functions which are analytic in the open interval but have singularities at end-points. With this extension, we are able to obtain exponential accuracy from collocation point values of such functions. Similar to Gottlieb and Shu (1995) [5], the proof is constructive and uses the Gegenbauer polynomials C_n~λ (x). The result implies that the Gibbs phenomenon can be overcome for smooth functions with endpoint singularities.
机译:吉布斯现象是分段分析函数的全局谱近似在跳跃不连续点处表现的特殊方式。截短的频谱序列在跃迁附近具有较大的振荡,并且随着截短的序列中项数的增加,过冲不会衰减。因此,最大范数没有收敛,并且远离不连续性的平滑区域的收敛也很慢。在Gottlieb和Shu(1995)[5]中,提出了一种方法来完全克服频谱配置方法中的这一困难,从而从分段分析函数的配置点值中恢复指数精度。在本文中,我们将这种方法扩展到处理光谱配位方法,以解决在开放区间中解析但在端点具有奇点的函数。通过此扩展,我们可以从此类函数的并置点值获得指数精度。类似于Gottlieb和Shu(1995)[5],该证明是建设性的,并使用Gegenbauer多项式C_n〜λ(x)。结果表明,对于具有端点奇点的光滑函数,可以克服Gibbs现象。

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