Abstract
The definition and simulation of fractional Brownian motion are considered from the point of view of a set of coherent fractional derivative definitions. To do it, two sets of fractional derivatives are considered: (a) the forward and backward and (b) the central derivatives, together with two representations: generalised difference and integral. It is shown that for these derivatives the corresponding autocorrelation functions have the same representations. The obtained results are used to define a fractional noise and, from it, the fractional Brownian motion. This is studied. The simulation problem is also considered.
Original language | English |
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Pages (from-to) | 958-968 |
Number of pages | 11 |
Journal | Physics Letters |
Volume | A |
Issue number | NA |
Publication status | Published - 11 Feb 2008 |
Keywords
- Fractional stochastic process
- Liouville derivative
- Central fractional derivatives
- Differintegration
- Forward and backward fractional derivatives
- Fractional Brownian motion
- Generalised Cauchy derivative