稳定定律密度和线性松弛现象。

Menachem Dishon, George H Weiss, John T Bendler
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引用次数: 37

摘要

稳定定律分布出现在描述聚合物的线性介电行为、半导体中载流子的运动、神经元的统计行为和许多其他现象中。这些分布没有精确的表,也没有用于估计这些松弛模型参数的算法。本文给出了函数Q α (z) = 1 π∫0∞e - u α cos (z u) d u V α (z) = 1 π∫0∞e - u α sin (z u) d u以及函数zQ α (z)的相关泛函性质,这些性质对聚合物和相关材料弛豫模型参数的估计是有用的。在α = 0.01、0.02(0.02)0.1(0.1)1.0(0.2)2.0时给出了积分Q α (z)的取值,在α = 0.0(0.01)0.1(0.1)2.0时给出了积分V α (z)的取值。采用多种方法获得了六位精度。这些表可用于依次估计Williams-Watts松弛模型中出现的三个参数。文中给出了该方法在文献数据中的应用实例。
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Stable Law Densities and Linear Relaxation Phenomena.

Stable law distributions occur in the description of the linear dielectric behavior of polymers, the motion of carriers in semi-conductors, the statistical behavior of neurons, and many other phenomena. No accurate tables of these distributions or algorithms for estimating the parameters in these relaxation models exist. In this paper we present tables of the functions Q α ( z ) = 1 π 0 e - u α cos ( z u ) d u V α ( z ) = 1 π 0 e - u α sin ( z u ) d u together with related functional properties of zQ α (z). These are useful in the estimation of the parameters in relaxation models for polymers and related materials. Values of the integral Q α (z) are given for α = 0.01,0.02(0.02)0.1(0.1)1.0(0.2)2.0 and those of V α (z) are given for α = 0.0(0.01)0.1(0.1)2.0. A variety of methods was used to obtain six place accuracy. The tables can be used to sequentially estimate the three parameters appearing in the Williams-Watts model of relaxation. An illustration of this method applied to data in the literature is given.

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