Kaniadakis logistic distribution explained
The Kaniadakis Logistic distribution (also known as κ-Logisticdistribution) is a generalized version of the Logistic distribution associated with the Kaniadakis statistics. It is one example of a Kaniadakis distribution. The κ-Logistic probability distribution describes the population kinetics behavior of bosonic (
) or fermionic (
) character.
Definitions
Probability density function
The Kaniadakis κ-Logistic distribution is a four-parameter family of continuous statistical distributions, which is part of a class of statistical distributions emerging from the Kaniadakis κ-statistics. This distribution has the following probability density function:[1]
(x)=
| λ\alpha\betax\alpha-1 |
\sqrt{1+\kappa2\beta2x2\alpha |
} \frac
valid for
, where
is the entropic index associated with the
Kaniadakis entropy,
is the rate parameter,
, and
is the shape parameter.
The Logistic distribution is recovered as
Cumulative distribution function
The cumulative distribution function of κ-Logistic is given by
F\kappa(x)=
| 1-\exp\kappa(-\betax\alpha) |
1+(λ-1)\exp\kappa(-\betax\alpha) |
valid for
. The cumulative Logistic distribution is recovered in the classical limit
.
Survival and hazard functions
The survival distribution function of κ-Logistic distribution is given by
S\kappa(x)=
| λ |
\exp\kappa(\betax\alpha)+λ-1 |
valid for
. The survival
Logistic distribution is recovered in the classical limit
.
The hazard function associated with the κ-Logistic distribution is obtained by the solution of the following evolution equation:
=-h\kappaS\kappa(x)\left(1-
S\kappa(x)\right)
with
, where
is the hazard function:
h\kappa=
| \alpha\betax\alpha-1 |
\sqrt{1+\kappa2\beta2x2\alpha |
}
The cumulative Kaniadakis κ-Logistic distribution is related to the hazard function by the following expression:
where
is the cumulative hazard function. The cumulative hazard function of the
Logistic distribution is recovered in the classical limit
.
Related distributions
- The survival function of the κ-Logistic distribution represents the κ-deformation of the Fermi-Dirac function, and becomes a Fermi-Dirac distribution in the classical limit
.
.
,
and
.
- The ordinary Logistic distribution is a particular case of a κ-Logistic distribution, when
.
Applications
The κ-Logistic distribution has been applied in several areas, such as:
- In quantum statistics, the survival function of the κ-Logistic distribution represents the most general expression of the Fermi-Dirac function, reducing to the Fermi-Dirac distribution in the limit
.
[2] [3] [4] See also
External links
Notes and References
- Kaniadakis . G. . 2021-01-01 . New power-law tailed distributions emerging in κ-statistics (a) . Europhysics Letters . 133 . 1 . 10002 . 10.1209/0295-5075/133/10002 . 0295-5075. 2203.01743 . 2021EL....13310002K . 234144356 .
- Santos . A.P. . Silva . R. . Alcaniz . J.S. . Anselmo . D.H.A.L. . 2011 . Kaniadakis statistics and the quantum H-theorem . Physics Letters A . en . 375 . 3 . 352–355 . 10.1016/j.physleta.2010.11.045. 2011PhLA..375..352S . free .
- Kaniadakis . G. . 2001 . H-theorem and generalized entropies within the framework of nonlinear kinetics . Physics Letters A . en . 288 . 5–6 . 283–291 . 10.1016/S0375-9601(01)00543-6. cond-mat/0109192 . 2001PhLA..288..283K . 119445915 .
- Lourek . Imene . Tribeche . Mouloud . 2017 . Thermodynamic properties of the blackbody radiation: A Kaniadakis approach . Physics Letters A . en . 381 . 5 . 452–456 . 10.1016/j.physleta.2016.12.019. 2017PhLA..381..452L .