Alternative Forms of Compound Fractional Poisson Processes

We study here different fractional versions of the compound Poisson process. The fractionality is introduced in the counting process representing the number of jumps as well as in the density of the jumps themselves. The corresponding distributions are obtained explicitly and proved to be solution o...

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Main Authors: Luisa Beghin, Claudio Macci
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2012/747503
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author Luisa Beghin
Claudio Macci
author_facet Luisa Beghin
Claudio Macci
author_sort Luisa Beghin
collection DOAJ
description We study here different fractional versions of the compound Poisson process. The fractionality is introduced in the counting process representing the number of jumps as well as in the density of the jumps themselves. The corresponding distributions are obtained explicitly and proved to be solution of fractional equations of order less than one. Only in the final case treated in this paper, where the number of jumps is given by the fractional-difference Poisson process defined in Orsingher and Polito (2012), we have a fractional driving equation, with respect to the time argument, with order greater than one. Moreover, in this case, the compound Poisson process is Markovian and this is also true for the corresponding limiting process. All the processes considered here are proved to be compositions of continuous time random walks with stable processes (or inverse stable subordinators). These subordinating relationships hold, not only in the limit, but also in the finite domain. In some cases the densities satisfy master equations which are the fractional analogues of the well-known Kolmogorov one.
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spelling doaj-art-512c6da4c9b442ef98474baf14403ccd2025-08-20T02:05:17ZengWileyAbstract and Applied Analysis1085-33751687-04092012-01-01201210.1155/2012/747503747503Alternative Forms of Compound Fractional Poisson ProcessesLuisa Beghin0Claudio Macci1Dipartimento di Scienze Statistiche, Sapienza Università di Roma, Piazzale Aldo Moro 5, 00185 Roma, ItalyDipartimento di Matematica, Università di Roma Tor Vergata, Via della Ricerca Scientifica, 00133 Roma, ItalyWe study here different fractional versions of the compound Poisson process. The fractionality is introduced in the counting process representing the number of jumps as well as in the density of the jumps themselves. The corresponding distributions are obtained explicitly and proved to be solution of fractional equations of order less than one. Only in the final case treated in this paper, where the number of jumps is given by the fractional-difference Poisson process defined in Orsingher and Polito (2012), we have a fractional driving equation, with respect to the time argument, with order greater than one. Moreover, in this case, the compound Poisson process is Markovian and this is also true for the corresponding limiting process. All the processes considered here are proved to be compositions of continuous time random walks with stable processes (or inverse stable subordinators). These subordinating relationships hold, not only in the limit, but also in the finite domain. In some cases the densities satisfy master equations which are the fractional analogues of the well-known Kolmogorov one.http://dx.doi.org/10.1155/2012/747503
spellingShingle Luisa Beghin
Claudio Macci
Alternative Forms of Compound Fractional Poisson Processes
Abstract and Applied Analysis
title Alternative Forms of Compound Fractional Poisson Processes
title_full Alternative Forms of Compound Fractional Poisson Processes
title_fullStr Alternative Forms of Compound Fractional Poisson Processes
title_full_unstemmed Alternative Forms of Compound Fractional Poisson Processes
title_short Alternative Forms of Compound Fractional Poisson Processes
title_sort alternative forms of compound fractional poisson processes
url http://dx.doi.org/10.1155/2012/747503
work_keys_str_mv AT luisabeghin alternativeformsofcompoundfractionalpoissonprocesses
AT claudiomacci alternativeformsofcompoundfractionalpoissonprocesses