In this paper, a Brownian motion of order n is defined by a probabilistic approach which is different from Mandelbrot's and Sainty's models. This process is constructed in the form of the integral of a complex Gaussian white noise which itself is defined as the product of a Gaussian white noise by a
A frequency domain approach to some results on fractional Brownian motion
β Scribed by K. Dzhaparidze; J.A. Ferreira
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 197 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
Let X be a fractional Brownian motion. It is known that M t = m t dX; t ΒΏ 0, where m t is a certain kernel, deΓΏnes a martingale M , and also that X can be represented by X t = x t dM; t ΒΏ 0, for some kernel x t . We derive these results by using the spectral representation of the covariance function of X . A formula for the covariance between X and M is also given.
π SIMILAR VOLUMES
By using a very simple model of random walk de\_ned on the roots of the unity in the complex plane\ one can obtain the model of fractional brownian motion of order n which has been previously introduced in the form of rotating Gaussian white noise[ This de\_nition of fractional Brownian motion of or