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On the ill-posed analytic continuation problem: An order optimal regularization scheme

机译:论令人虐待的分析延续问题:订单最优正则化方案

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摘要

The main focus of this paper is on studying an order optimal regularization scheme based on the Meyer wavelets method to solve the analytic continuation problem in the high-dimensional complex domain Ω := {x + iy ∈ C~N : x ∈ R~N, ||y|| ≤ ||yo||. y,y_0 ∈ R_+~N} This problem is exponentially ill-posed and suffers from the Hadamard's instability. Theoretically, we first provide an optimal conditional stability estimate for the proposed original problem. Applying the Meyer wavelets, an order optimal regularization scheme is then developed to stabilize the considered ill-posed problem. Some sharp error estimates of the Holder-Logarithmic type controlled by the Sobolev scale under an a-priori information are also derived. The provided error estimates are of the order optimal in the sense of Tautenhahn. Finally, some different one- and two-dimensional examples are presented to confirm the efficiency and applicability of the proposed regularization scheme. The comparison results also show that the proposed method is more accurate than the other existing methods in the literature.
机译:本文的主要焦点是在研究基于Meyer小波方法的订单最佳正则化方案,以解决高维复杂域中的分析延续问题ω:= {x + Iy∈c〜n:x∈r〜n ,|| y || ≤||哟||。 y,y_0∈r_+〜n}这个问题是指数般的不稳定,遭受了哈马德的不稳定。从理论上讲,我们首先为提出的原始问题提供最佳的条件稳定性估计。应用Meyer小波,然后开发了一个订单最佳正则化方案,以稳定考虑的不良问题。还导出了由SoboLev Scale的持有者对数类型的一些尖锐误差估计。提供的错误估计在Tautenhahn的意义上是最佳的。最后,提出了一些不同的单维和二维示例以确认所提出的正则化方案的效率和适用性。比较结果还表明,该方法比文献中的其他现有方法更准确。

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