某些Hölder连续函数情况下数值Weyl分数阶导数的误差分析

J. Nissilä
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引用次数: 2

摘要

分数阶或整数阶导数和积分的计算在频域已经证明是简单和快速的。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分数阶导数的数值算法进行了误差分析。为了求出数值误差的上界,必须事先知道信号的平滑性,或者必须对其进行估计。用已知正则性的采样函数和旋转机械的实际振动测量值对推导出的误差分析进行了验证。与以往利用L2误差处理频域整数阶数值导数误差分析的文献相比,本文的结果是基于最大绝对误差的,并且是基于对信号规律性的一个新的结果。使用这两种误差估计的一般结论是相同的:数值Weyl导数的误差以某常数乘以序列长度的负次方为界。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,误差由常数乘以序列长度的某个固定的负幂和方法的顺序定义该指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Error analysis of numerical Weyl fractional derivatives in the case of certain Hölder continuous functions
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 L2 errors, 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.
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