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Error analysis of numerical Weyl fractional derivatives in the case of certain Hölder continuous functions

机译:某些Hölder连续函数情况下数值Weyl分数导数的误差分析

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The calculation of fractional or integer order derivatives and integrals has been demonstrated to be simple and fast in the frequency domain. It is also the most sensible method if one wishes to calculate derivatives or integrals of periodic signals. In this paper, error analysis is carried out for the numerical algorithm for Weyl fractional derivatives. To derive an upper bound for the numerical error, some knowledge of the smoothness of the signal must be known in advance or it must be estimated. The derived error analysis is tested with sampled functions with known regularity and with real vibration measurements from rotating machines. Compared to previous publications which deal with error analysis of integer order numerical derivatives in the frequency domain using L2errors, the result of this paper is in terms of maximum absolute error and it is based on a novel result on the signal's regularity. The general conclusion using either error estimates is the same: the error of numerical Weyl derivatives is bounded by some constant times the sequence length raised to a negative power. The exponent depends on the smoothness of the signal. This contrasts with using difference quotients in numerical differentiation, in which case the error is bounded by a constant times the sequence length raised to a some fixed negative power and the order of the method defines that exponent.
机译:已经证明,分数或整数阶导数和积分的计算在频域中是简单且快速的。如果希望计算周期信号的导数或积分,这也是最明智的方法。本文对Weyl分数导数的数值算法进行了误差分析。为了得出数值误差的上限,必须事先知道信号平滑度的一些知识,或者必须对其进行估算。派生的误差分析将通过具有已知规律性的采样函数以及来自旋转机械的实际振动测量进行测试。与以前使用L处理频域中整数阶数值导数的误差分析的出版物相比 2 误差,本文的结果是基于最大绝对误差,它基于信号规律性的新颖结果。使用任一误差估计的一般结论是相同的:数字Weyl导数的误差受一定的乘以一定倍数,即序列长度提高到负幂。指数取决于信号的平滑度。这与在数值微分中使用差商形成对比,在这种情况下,误差以恒定的倍数限制,序列长度升至某个固定的负幂,并且方法的阶数定义了该指数。

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