Random Geometric Series
| dc.creator | Ben-Naim, E. | |
| dc.creator | Krapivsky, P. L. | |
| dc.date | 2004-03-05 | |
| dc.date.accessioned | 2026-07-07T02:56:47Z | |
| dc.date.available | 2026-07-07T02:56:47Z | |
| dc.description | Integer sequences where each element is determined by a previous randomly chosen element are investigated analytically. In particular, the random geometric series x_n=2x_p with 0<=p<=n-1 is studied. At large n, the moments grow algebraically, <x_n^s> n^beta(s) with beta(s)=2^s-1, while the typical behavior is x_n n^ln 2. The probability distribution is obtained explicitly in terms of the Stirling numbers of the first kind and it approaches a log-normal distribution asymptotically. | |
| dc.description | 6 pages, 2 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0403157 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0403157 | |
| dc.identifier | J. Phys. A 37, 5949 (2004) | |
| dc.identifier | doi:10.1088/0305-4470/37/23/001 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/23464 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Probability | |
| dc.title | Random Geometric Series | |
| dc.type | text |