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Convergence analysis of the summation of the factorially divergent Euler series by Pade approximants and the delta transformation

机译:Pade近似值对阶乘散Euler级数求和与delta变换的收敛性分析

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摘要

Sequence transformations are valuable numerical tools that have been used with considerable success for the acceleration of convergence and the summation of diverging series. However, our understanding of their theoretical properties is far from satisfactory. The Euler series E (z) ~ Σ_(n=0)~∞(-1)~nn!z~n is a very important model for the ubiquitous factorially divergent perturbation expansions in theoretical physics and for the divergent asymptotic expansions for special functions. In this article, we analyze the summation of the Euler series by Padi approximants and by the delta transformation, which is a powerful nonlinear Levin-type transformation that works very well in the case of strictly alternating convergent or divergent series. Our analysis is based on a very recent factorial series representation of the truncation error of the Euler series. We derive explicit expressions for the transformation errors of Pade approximants and of the delta transformation. A subsequent asymptotic analysis proves rigorously the convergence of both Pade and delta. Our asymptotic estimates clearly show the superiority of the delta transformation over Pade. This is in agreement with previous numerical results.
机译:序列变换是有价值的数值工具,已成功地用于加速收敛和发散级数求和。但是,我们对它们的理论特性的理解远远不能令人满意。欧拉级数E(z)〜Σ_(n = 0)〜∞(-1)〜nn!z〜n对于理论物理学中普遍存在的阶乘发散摄动展开以及特殊函数的发散渐近展开是非常重要的模型。在本文中,我们分析了由Padi近似值和delta变换得出的Euler级数的和,它是一个强大的非线性Levin型变换,在严格交替的收敛或发散级数情况下效果很好。我们的分析基于最近的欧拉级数截断误差的阶乘级表示。我们为Pade近似值和delta变换的变换误差导出了明确的表达式。随后的渐近分析严格证明了Pade和delta的收敛性。我们的渐近估计清楚地表明了三角变换优于Pade的优势。这与先前的数值结果一致。

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