Probability Theory
A characterization of the set-indexed fractional Brownian motion by increasing paths
[Une caractérisation par chemins croissants du mouvement brownien fractionnaire indexé par des ensembles]
Comptes Rendus. Mathématique, Tome 343 (2006) no. 11-12, pp. 767-772.

On montre qu'un processus stochastique est un mouvement brownien fractionnaire indexé par des ensembles si et seulement si ses projections sur tous les chemins croissants sont des mouvements browniens fractionnaires à paramètres réels changés de temps. On applique ce résultat à la définition d'une représentation intégrale pour de tels processus.

We prove that a set-indexed process is a set-indexed fractional Brownian motion if and only if its projections on all the increasing paths are one-parameter time changed fractional Brownian motions. As an application, we present an integral representation for such processes.

Reçu le :
Accepté le :
Publié le :
DOI : 10.1016/j.crma.2006.11.009
Herbin, Erick 1 ; Merzbach, Ely 2

1 Dassault Aviation, 78, quai Marcel-Dassault, 92552 Saint-Cloud cedex, France
2 Department of Mathematics, Bar Ilan University, 52900 Ramat-Gan, Israel
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     title = {A characterization of the set-indexed fractional {Brownian} motion by increasing paths},
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Herbin, Erick; Merzbach, Ely. A characterization of the set-indexed fractional Brownian motion by increasing paths. Comptes Rendus. Mathématique, Tome 343 (2006) no. 11-12, pp. 767-772. doi : 10.1016/j.crma.2006.11.009. http://www.numdam.org/articles/10.1016/j.crma.2006.11.009/

[1] E. Herbin, E. Merzbach, A set-indexed fractional Brownian motion, J. Theoret. Probab. (2006), in press

[2] E. Herbin, E. Merzbach, The multiparameter fractional Brownian motion, in: Proceedings of VK60 Math Everywhere Workshop, 2006, in press

[3] Ivanoff, G. Set-indexed processes: distributions and weak convergence, Topics in Spatial Stochastic Processes, Lecture Notes in Mathematics, vol. 1802, Springer, 2003, pp. 85-126

[4] Ivanoff, G.; Merzbach, E. Set-Indexed Martingales, Chapman & Hall/CRC, 2000

[5] Rogers, C.A. Hausdorff Measures, Cambridge Univ. Press, 1970

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