Stationarity and Self-similarity Characterization of the Set-indexed Fractional Brownian Motion

dc.creatorHerbin, Erick
dc.creatorMerzbach, Ely
dc.date2007-06-23
dc.date2008-07-09
dc.date.accessioned2026-07-07T09:48:54Z
dc.date.available2026-07-07T09:48:54Z
dc.descriptionThe set-indexed fractional Brownian motion (sifBm) has been defined by Herbin-Merzbach (2006) for indices that are subsets of a metric measure space. In this paper, the sifBm is proved to statisfy a strenghtened definition of increment stationarity. This new definition for stationarity property allows to get a complete characterization of this process by its fractal properties: The sifBm is the only set-indexed Gaussian process which is self-similar and has stationary increments. Using the fact that the sifBm is the only set-indexed process whose projection on any increasing path is a one-dimensional fractional Brownian motion, the limitation of its definition for a self-similarity parameter 0<H<1/2 is studied, as illustrated by some examples. When the indexing collection is totally ordered, the sifBm can be defined for 0<H<1.
dc.description18 pages
dc.identifierhttps://arxiv.org/abs/0706.3472
dc.identifierhttp://arxiv.org/abs/0706.3472
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/164389
dc.subjectProbability
dc.subject60G10; 60G15; 60G17; 60G18
dc.titleStationarity and Self-similarity Characterization of the Set-indexed Fractional Brownian Motion
dc.typetext

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