Convolution and limit theorems for conditionally free random variables

We introduce the notion of a conditionally free product and conditionally free convolution. We describe this convolution both from a combinatorial point of view, by showing its connection with the lattice of non-crossing partitions, and from an analytic point of view, by presenting the basic formula...

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Hauptverfasser: Bożejko, Marek (VerfasserIn) , Leinert, Michael (VerfasserIn) , Speicher, Roland (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 1 October 1996
In: Pacific journal of mathematics
Year: 1996, Jahrgang: 175, Heft: 2, Pages: 357-388
ISSN:1945-5844
DOI:10.2140/pjm.1996.175.357
Online-Zugang:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.2140/pjm.1996.175.357
Verlag, kostenfrei, Volltext: https://msp.org/pjm/1996/175-2/p04.xhtml
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Verfasserangaben:Marek Bożejko, Michael Leinert and Roland Speicher
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Zusammenfassung:We introduce the notion of a conditionally free product and conditionally free convolution. We describe this convolution both from a combinatorial point of view, by showing its connection with the lattice of non-crossing partitions, and from an analytic point of view, by presenting the basic formula for its R-transform. We calculate explicitly the distributions of the conditionally free Gaussian and conditionally free Poisson distribution.
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Beschreibung:Online Resource
ISSN:1945-5844
DOI:10.2140/pjm.1996.175.357