Stable distributions and pseudo-processes related to fractional Airy functions

IF 0.8 4区 数学 Q3 MATHEMATICS, APPLIED Stochastic Analysis and Applications Pub Date : 2023-10-29 DOI:10.1080/07362994.2023.2274108
Manfred Marvin Marchione, Enzo Orsingher
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引用次数: 2

Abstract

In this paper we study pseudo-processes related to odd-order heat-type equations composed with L\'evy stable subordinators. The aim of the article is twofold. We first show that the pseudo-density of the subordinated pseudo-process can be represented as an expectation of damped oscillations with generalized gamma distributed parameters. This stochastic representation also arises as the solution to a fractional diffusion equation, involving a higher-order Riesz-Feller operator, which generalizes the odd-order heat-type equation. We then prove that, if the stable subordinator has a suitable exponent, the time-changed pseudo-process becomes a genuine L\'evy stable process. This result permits us to obtain a power series representation for the probability density function of an arbitrary asymmetric stable process of exponent $\nu>1$ and skewness parameter $\beta$, with $0<\lvert\beta\lvert<1$. The methods we use in order to carry out our analysis are based on the study of a fractional Airy function which emerges in the investigation of the higher-order Riesz-Feller operator.
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分数阶Airy函数的稳定分布和伪过程
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来源期刊
Stochastic Analysis and Applications
Stochastic Analysis and Applications 数学-统计学与概率论
CiteScore
2.70
自引率
7.70%
发文量
32
审稿时长
6-12 weeks
期刊介绍: Stochastic Analysis and Applications presents the latest innovations in the field of stochastic theory and its practical applications, as well as the full range of related approaches to analyzing systems under random excitation. In addition, it is the only publication that offers the broad, detailed coverage necessary for the interfield and intrafield fertilization of new concepts and ideas, providing the scientific community with a unique and highly useful service.
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