|
Brunel University Research Archive (BURA) >
Schools >
School of Information Systems, Computing and Mathematics >
School of Information Systems, Computing and Mathematics Research Papers >
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/419
|
| Title: | Growing random sequences |
| Authors: | Krasikov, I Rodgers, G J Tripp, C E |
| Keywords: | Statistical Moment Random Sequences Power Law Exact Solution Probability Probability Distribution |
| Publication Date: | 2004 |
| Publisher: | Institute of Physics Publishing |
| Citation: | Journal of Physics A: Mathematical and General, Volume 37, Number 6, 13 February 2004, pp. 2365-2370(6) |
| Abstract: | We consider the random sequence x[n] = x[n-1] + yxq, with y > 0, where q = 0, 1,..., n - 1 is chosen randomly from a probability distribution P[n] (q). When all q are chosen with equal probability, i.e. P[n](q) = 1/n, we obtain an exact solution for the mean <x[n]> and the divergence of the second moment <x[n]2> as functions of n and y. For y = 1 we examine the divergence of the mean value of x[n], as a function of n, for the random sequences generated by power law and exponential P[n](q) and for the non-random sequence P[n](q) = δ[q,β(n-1)]. |
| URI: | http://www.iop.org/EJ/journal/JPhysA/8 http://bura.brunel.ac.uk/handle/2438/419 |
| ISSN: | DOI: 10.1088/0305-4470/37/6/026 |
| Appears in Collections: | Mathematics School of Information Systems, Computing and Mathematics Research Papers Mathematical Physics
|
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.
|