Prior Measure for Nonextensive Entropy
| dc.creator | Brouers, F. | |
| dc.creator | Sotolongo, O. | |
| dc.date | 2004-10-28 | |
| dc.date.accessioned | 2026-07-25T15:43:23Z | |
| dc.description | We show that if one uses the invariant form of the Boltzmann-Shannon continuous entropy, it is possible to obtain the generalized Pareto-Tsallis density function, using an appropriate "prior" measure m_{q}(x) and a "Boltzman constraint" which formally is equivalent to the Tsallis q-average constraint on the random variable X. We derive the Tsallis prior function and study its scaling asymptotic behavior. When the entropic index q tends to 1, m_{q}(x) tends to 1 for all values of x as this should be. | |
| dc.description | 9 pages, 2 pictures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0410738 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0410738 | |
| dc.identifier.uri | https://dspace.dare.co.zw/handle/123456789/36368 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | Prior Measure for Nonextensive Entropy | |
| dc.type | text |