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
A new approach to complex-valued fractional Brownian motion via rotating white noise
โ Scribed by Guy Jumarie
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 681 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0960-0779
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โฆ Synopsis
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 complex white process which takes on values on the set of the roots of the unity of order n. An It&-Taylor's lemma of order n is obtained; therefore one derives the dynamical equations of the complex Brownian motion moments whereby one can obtain a generalized Fokker-Planck equation or heat equation of order n. A possible relation with Kramers-Moyal expansion is outlined. The framework is essentially applied mathematics.
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