Use the information dimension, not the Hausdorff
| dc.creator | Roberts, A. J. | |
| dc.date | 2005-12-07 | |
| dc.date.accessioned | 2026-07-07T06:55:55Z | |
| dc.date.available | 2026-07-07T06:55:55Z | |
| dc.description | Multi-fractal patterns occur widely in nature. In developing new algorithms to determine multi-fractal spectra of experimental data I am lead to the conclusion that generalised dimensions $D_q$ of order $q\leq0$, including the Hausdorff dimension, are effectively \emph{irrelevant}. The reason is that these dimensions are extraordinarily sensitive to regions of low density in the multi-fractal data. Instead, one should concentrate attention on generalised dimensions $D_q$ for $q\geq 1$, and of these the information dimension $D_1$ seems the most robustly estimated from a finite amount of data. | |
| dc.description | 11 pages | |
| dc.identifier | https://arxiv.org/abs/nlin/0512014 | |
| dc.identifier | http://arxiv.org/abs/nlin/0512014 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/106447 | |
| dc.subject | Pattern Formation and Solitons | |
| dc.title | Use the information dimension, not the Hausdorff | |
| dc.type | text |