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

D. Bou, Ba Demba Bocar, Thioune Moussa
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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 (Ito 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.
分数阶布朗运动随机积分的构造方法
自Hurst和Mandelbrot的开创性工作以来,分数布朗运动在水文学、经济学和电信等许多应用领域发挥了越来越重要的作用。对于赫斯特指数H∈(0,1)的每一个值,我们定义一个关于指数H的分数阶布朗运动的随机积分。这个过程称为带有赫斯特参数H的(标准)分数阶布朗运动。为了简化表示,我们总是假设分数阶布朗运动在t=0时为0。如果H = 1/2,那么对应的分数阶布朗运动就是通常的标准布朗运动。如果1/2 < H < 1,分数阶布朗运动(FBM)既不是有限变分,也不是半鞅。因此,当1/2 < H < 1时,标准Ito微积分不适用于FBM作为积分器的随机积分。经典方法(Ito和Stiliege)被排除在外。研究最多的例子是H在0到1/2之间。本文尝试了几种定义随机积分的方法。但到目前为止,还存在一些困难。本文给出了几种施工方法。所以对于施工,我们将使用其他工具来处理这种情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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