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Stationarity and Self-Similarity Characterization of the Set-Indexed Fractional Brownian Motion

Author

Listed:
  • Erick Herbin

    (Ecole Centrale Paris)

  • Ely Merzbach

    (Bar Ilan University)

Abstract

The set-indexed fractional Brownian motion (sifBm) has been defined by Herbin–Merzbach (J. Theor. Probab. 19(2):337–364, 2006) for indices that are subsets of a metric measure space. In this paper, the sifBm is proved to satisfy a strengthened definition of increment stationarity. This new definition for stationarity property allows us 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

Suggested Citation

  • Erick Herbin & Ely Merzbach, 2009. "Stationarity and Self-Similarity Characterization of the Set-Indexed Fractional Brownian Motion," Journal of Theoretical Probability, Springer, vol. 22(4), pages 1010-1029, December.
  • Handle: RePEc:spr:jotpro:v:22:y:2009:i:4:d:10.1007_s10959-008-0180-8
    DOI: 10.1007/s10959-008-0180-8
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    Cited by:

    1. Paul Balança, 2015. "An Increment-Type Set-Indexed Markov Property," Journal of Theoretical Probability, Springer, vol. 28(4), pages 1271-1310, December.

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