Kaniadakis statistics
Kaniadakis statistics is a generalization of Boltzmann–Gibbs statistical mechanics, based on a relativistic generalization of the classical Boltzmann–Gibbs–Shannon entropy. Introduced by the Greek Italian physicist Giorgio Kaniadakis in 2001, κ-statistical mechanics preserve the main features of ordinary statistical mechanics and have attracted the interest of many researchers in recent years. The κ-distribution is currently considered one of the most viable candidates for explaining complex physical, natural or artificial systems involving power-law tailed statistical distributions. Kaniadakis statistics have been adopted successfully in the description of a variety of systems in the fields of cosmology, astrophysics, condensed matter, quantum physics, seismology, genomics, economics, epidemiology, and many others.
Mathematical formalism
The mathematical formalism of κ-statistics is generated by κ-deformed functions, especially the κ-exponential function.κ-exponential function
The Kaniadakis exponential function is a one-parameter generalization of an exponential function, given by:with.
The κ-exponential for can also be written in the form:
The first five terms of the Taylor expansion of are given by:where the first three are the same as a typical exponential function.
Basic properties
The κ-exponential function has the following properties of an exponential function:
For a real number, the κ-exponential has the property:
κ-logarithm function
The Kaniadakis logarithm is a relativistic one-parameter generalization of the ordinary logarithm function,with, which is the inverse function of the κ-exponential:
The κ-logarithm for can also be written in the form:
The first three terms of the Taylor expansion of are given by:
following the rule
with, and
where and. The two first terms of the Taylor expansion of are the same as an ordinary logarithmic function.
Basic properties
The κ-logarithm function has the following properties of a logarithmic function:
For a real number, the κ-logarithm has the property:
κ-Algebra
κ-sum
For any and, the Kaniadakis sum is defined by the following composition law:that can also be written in form:
where the ordinary sum is a particular case in the classical limit :.
The κ-sum, like the ordinary sum, has the following properties:
The κ-difference is given by.
The fundamental property arises as a special case of the more general expression below:
Furthermore, the κ-functions and the κ-sum present the following relationships:
κ-product
For any and, the Kaniadakis product is defined by the following composition law:where the ordinary product is a particular case in the classical limit :.
The κ-product, like the ordinary product, has the following properties:
The κ-division is given by.
The κ-sum and the κ-product obey the distributive law:.
The fundamental property arises as a special case of the more general expression below:
κ-Calculus
κ-Differential
The Kaniadakis differential of is defined by:So, the κ-derivative of a function is related to the Leibniz derivative through:
where is the Lorentz factor. The ordinary derivative is a particular case of κ-derivative in the classical limit.
κ-Integral
The Kaniadakis integral is the inverse operator of the κ-derivative defined throughwhich recovers the ordinary integral in the classical limit.
κ-Trigonometry
κ-Cyclic Trigonometry
The Kaniadakis cyclic trigonometry is based on the κ-cyclic sine and κ-cyclic cosine functions defined by:where the κ-generalized Euler formula is
The κ-cyclic trigonometry preserves fundamental expressions of the ordinary cyclic trigonometry, which is a special case in the limit κ → 0, such as:
The κ-cyclic tangent and κ-cyclic cotangent functions are given by:
The κ-cyclic trigonometric functions become the ordinary trigonometric function in the classical limit.
κ-Inverse cyclic function
The Kaniadakis inverse cyclic functions are associated to the κ-logarithm:
κ-Hyperbolic Trigonometry
The Kaniadakis hyperbolic trigonometry is based on the κ-hyperbolic sine and κ-hyperbolic cosine given by:where the κ-Euler formula is
The κ-hyperbolic tangent and κ-hyperbolic cotangent functions are given by:
The κ-hyperbolic trigonometric functions become the ordinary hyperbolic trigonometric functions in the classical limit.
From the κ-Euler formula and the property the fundamental expression of κ-hyperbolic trigonometry is given as follows:
κ-Inverse hyperbolic function
The Kaniadakis inverse hyperbolic functions are associated to the κ-logarithm:
in which are valid the following relations:
The κ-cyclic and κ-hyperbolic trigonometric functions are connected by the following relationships:
Kaniadakis entropy
The Kaniadakis statistics is based on the Kaniadakis κ-entropy, which is defined through:where is a probability distribution function defined for a random variable, and is the entropic index.
The Kaniadakis κ-entropy is thermodynamically and Lesche stable and obeys the Shannon-Khinchin axioms of continuity, maximality, generalized additivity and expandability.
Kaniadakis distributions
A Kaniadakis distribution is a probability distribution derived from the maximization of Kaniadakis entropy under appropriate constraints. In this regard, several probability distributions emerge for analyzing a wide variety of phenomenology associated with experimental power-law tailed statistical distributions.Kaniadakis integral transform
κ-Laplace Transform
The Kaniadakis Laplace transform is a κ-deformed integral transform of the ordinary Laplace transform. The κ-Laplace transform converts a function of a real variable to a new function in the complex frequency domain, represented by the complex variable. This κ-integral transform is defined as:The inverse κ-Laplace transform is given by:
The ordinary Laplace transform and its inverse transform are recovered as.
Properties
Let two functions and, and their respective κ-Laplace transforms and, the following table presents the main properties of κ-Laplace transform:
| Property | ||
| Linearity | ||
| Time scaling | ||
| Frequency shifting | ||
| Derivative | ||
| Derivative | ||
| Time-domain integration | ||
| Dirac delta-function | ||
| Heaviside unit function | ||
| Power function | ||
| Power function | ||
| Power function |
The κ-Laplace transforms presented in the latter table reduce to the corresponding ordinary Laplace transforms in the classical limit.
κ-Fourier Transform
The Kaniadakis Fourier transform is a κ-deformed integral transform of the ordinary Fourier transform, which is consistent with the κ-algebra and the κ-calculus. The κ-Fourier transform is defined as:which can be rewritten as
where and. The κ-Fourier transform imposes an asymptotically log-periodic behavior by deforming the parameters and in addition to a damping factor, namely .
The kernel of the κ-Fourier transform is given by:
The inverse κ-Fourier transform is defined as:
Let, the following table shows the κ-Fourier transforms of several notable functions:
| Step function | ||
| Modulation | ||
| Causal -exponential | ||
| Symmetric -exponential | ||
| Constant | ||
| -Phasor | ||
| Impuslse | ||
| Signum | Sgn | |
| Rectangular |
The κ-deformed version of the Fourier transform preserves the main properties of the ordinary Fourier transform, as summarized in the following table.
| Linearity | |
| Scaling | where and |
| -Scaling | |
| Complex conjugation | |
| Duality | |
| Reverse | |
| -Frequency shift | |
| -Time shift | |
| Transform of -derivative | |
| -Derivative of transform | |
| Transform of integral | |
| -Convolution | where |
| Modulation |
The properties of the κ-Fourier transform presented in the latter table reduce to the corresponding ordinary Fourier transforms in the classical limit.