Alternative numerical computation of one-sided Levy and Mittag-Leffler distributions
arXiv:1106.0531 · doi:10.1103/PhysRevE.84.026702
Abstract
We consider here the recently proposed closed form formula in terms of the Meijer G-functions for the probability density functions of one-sided Lévy stable distributions with rational index , with . Since one-sided Lévy and Mittag-Leffler distributions are known to be related, this formula could also be useful for calculating the probability density functions of the latter. We show, however, that the formula is computationally inviable for fractions with large denominators, being unpractical even for some modest values of and . We present a fast and accurate numerical scheme, based on an early integral representation due to Mikusinski, for the evaluation of and , their cumulative distribution function and their derivatives for any real index . As an application, we explore some properties of these probability density functions. In particular, we determine the location and value of their maxima as functions of the index . We show that and correspond, respectively, to the one-sided Lévy and Mittag-Leffler distributions with shortest maxima. We close by discussing how our results can elucidate some recently described dynamical behavior of intermittent systems.
6 pages, 5 figures. New references added, final version to appear in PRE. Numerical code available at http://vigo.ime.unicamp.br/distr
References in corpus (4)
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