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Method of Construction of the Stochastic Integral with Respect to Fractional Brownian Motion

Received: 2 July 2021    Accepted: 6 August 2021    Published: 3 September 2021
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Abstract

Since the pioneering work of Hurst, and Mandelbrot, the fractional brownian motions have played and increasingly important role in many fields of application such as hydrology, economics and telecommunications. For every value of the Hurst index H ∈ (0,1) we define a stochastic integral with respect to fractional Brownian motion of index H. This process is called a (standard) fractional Brownian motion with Hurst parameter H. To simplify the presentation, it is always assumed that the fractional Brownian motion is 0 at t=0. If H = 1/2, then the corresponding fractional Brownian motion is the usual standard Brownian motion. If 1/2 < H < 1, Fractional Brownian motion (FBM) is neither a finite variation nor a semi-martingale. Consequently, the standard Ito calculus is not available for stochastic integrals with respect to FBM as an integrator if 1/2 < H < 1. The classic methods (Itô and Stiliege) are excluted. The most studied case is that where H is between 0 and 1/2. Several attempts to define the stochastic integral are made. But so far some difficulties subjust. We give in this paper, several construction methods. So for the construction, we will use other tools to deal with such situations.

Published in American Journal of Applied Mathematics (Volume 9, Issue 5)
DOI 10.11648/j.ajam.20210905.11
Page(s) 156-164
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Wiener Integral, Fractional Brownian Motion, Martingale, Processus d’Ito

References
[1] Alos, E., Leon, J. L, Nualart, D (2001). Stratonovich calculus for fractional Brownian motion with Hurst parameter less than 1/2. Taiwanese J. Math. 5, 609-632.
[2] Ba Demba Bocar: On the fractional Brownien motion: Hausdorf dimension and Fourier expansion international journal of advances in applied mathematical and mechanics vol 5 pp 53-59 (2017).
[3] Ba Demba Bocar: Fractional operators and Applications to fractional martingal international journal of advances in applied mathematical and mechanics vol 5 (2018).
[4] Bickel, P. J. Doksum, K. A. (1977) Mathematical Statistics. Prentice Hall, Inc.
[5] D. Nualart (2003): Stochastic calculs with respect to the fractional Brownian motion and applications. Contemporaty Mathematics 336, 3-39.
[6] F. Russo and P. Vallois (2005): Elements of stochastic calculus via regularisation.
[7] F. Russo. Vallois P. The generalized covariation process andItˆ oformulaStochasticProcessesandtheirapplication 59, 81-104, 1995.
[8] Gradinaru, M, Nourdin, I. (2003). Stochastic volatility: approximation and goodness-of-fit test. Prepint IECN 2003-53.
[9] Gradinaru, M. Nourdin, I (2003) Approximation at first and second order of m. order integrals of the fractional motion and of certain semi martingales. J Probab. 8 no 18.
[10] Gradinaru, M. Nourdin, I Russo, F. Vallois, P. (2004) M- order integrals and Ito’s formula for non-semimartingal processus: the case of a frational Brownien notion Withany Hurst index.
[11] H Doss (1977): Links between stochastic and ordinary differential equations. Ann. Inst. Henri Poincar 13, 99- 125.
[12] Ivan Nourdin, Introduction to parisian fractional days.
[13] Ivan Nourdin, Generalized stochastic calculus and applications to fractional Brownin motion, non- parametric estimation of volatility.
[14] I. Nourdin and T. Simon (2006): correcting Newton- Cotes integrals by levy areas.
[15] L. Coutin (2006), An introction to (stochastic) calculs with respect to fractional Brownian motion.
[16] Mihai Gradinaru, Applications of stochastic calculus to the study of certain processes.
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  • APA Style

    Diop Bou, Ba Demba Bocar, Thioune Moussa. (2021). Method of Construction of the Stochastic Integral with Respect to Fractional Brownian Motion. American Journal of Applied Mathematics, 9(5), 156-164. https://doi.org/10.11648/j.ajam.20210905.11

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    ACS Style

    Diop Bou; Ba Demba Bocar; Thioune Moussa. Method of Construction of the Stochastic Integral with Respect to Fractional Brownian Motion. Am. J. Appl. Math. 2021, 9(5), 156-164. doi: 10.11648/j.ajam.20210905.11

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    AMA Style

    Diop Bou, Ba Demba Bocar, Thioune Moussa. Method of Construction of the Stochastic Integral with Respect to Fractional Brownian Motion. Am J Appl Math. 2021;9(5):156-164. doi: 10.11648/j.ajam.20210905.11

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  • @article{10.11648/j.ajam.20210905.11,
      author = {Diop Bou and Ba Demba Bocar and Thioune Moussa},
      title = {Method of Construction of the Stochastic Integral with Respect to Fractional Brownian Motion},
      journal = {American Journal of Applied Mathematics},
      volume = {9},
      number = {5},
      pages = {156-164},
      doi = {10.11648/j.ajam.20210905.11},
      url = {https://doi.org/10.11648/j.ajam.20210905.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20210905.11},
      abstract = {Since the pioneering work of Hurst, and Mandelbrot, the fractional brownian motions have played and increasingly important role in many fields of application such as hydrology, economics and telecommunications. For every value of the Hurst index H ∈ (0,1) we define a stochastic integral with respect to fractional Brownian motion of index H. This process is called a (standard) fractional Brownian motion with Hurst parameter H. To simplify the presentation, it is always assumed that the fractional Brownian motion is 0 at t=0. If H = 1/2, then the corresponding fractional Brownian motion is the usual standard Brownian motion. If 1/2 H  H ô and Stiliege) are excluted. The most studied case is that where H is between 0 and 1/2. Several attempts to define the stochastic integral are made. But so far some difficulties subjust. We give in this paper, several construction methods. So for the construction, we will use other tools to deal with such situations.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Method of Construction of the Stochastic Integral with Respect to Fractional Brownian Motion
    AU  - Diop Bou
    AU  - Ba Demba Bocar
    AU  - Thioune Moussa
    Y1  - 2021/09/03
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajam.20210905.11
    DO  - 10.11648/j.ajam.20210905.11
    T2  - American Journal of Applied Mathematics
    JF  - American Journal of Applied Mathematics
    JO  - American Journal of Applied Mathematics
    SP  - 156
    EP  - 164
    PB  - Science Publishing Group
    SN  - 2330-006X
    UR  - https://doi.org/10.11648/j.ajam.20210905.11
    AB  - Since the pioneering work of Hurst, and Mandelbrot, the fractional brownian motions have played and increasingly important role in many fields of application such as hydrology, economics and telecommunications. For every value of the Hurst index H ∈ (0,1) we define a stochastic integral with respect to fractional Brownian motion of index H. This process is called a (standard) fractional Brownian motion with Hurst parameter H. To simplify the presentation, it is always assumed that the fractional Brownian motion is 0 at t=0. If H = 1/2, then the corresponding fractional Brownian motion is the usual standard Brownian motion. If 1/2 H  H ô and Stiliege) are excluted. The most studied case is that where H is between 0 and 1/2. Several attempts to define the stochastic integral are made. But so far some difficulties subjust. We give in this paper, several construction methods. So for the construction, we will use other tools to deal with such situations.
    VL  - 9
    IS  - 5
    ER  - 

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Author Information
  • Department Maths UFR SET, Iba Der Thiam University Thies, Thies, Senegal

  • Department Maths UFR SET, Iba Der Thiam University Thies, Thies, Senegal

  • Department Maths UFR SET, Iba Der Thiam University Thies, Thies, Senegal

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