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Review

Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions

by
Giorgio Kaniadakis
Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Entropy 2013, 15(10), 3983-4010; https://0-doi-org.brum.beds.ac.uk/10.3390/e15103983
Submission received: 29 July 2013 / Revised: 17 September 2013 / Accepted: 17 September 2013 / Published: 25 September 2013
(This article belongs to the Collection Advances in Applied Statistical Mechanics)

Abstract

:
We present the main features of the mathematical theory generated by the κ-deformed exponential function exp κ ( x ) = ( 1 + κ 2 x 2 + κ x ) 1 / κ , with 0 κ < 1 , developed in the last twelve years, which turns out to be a continuous one parameter deformation of the ordinary mathematics generated by the Euler exponential function. The κ-mathematics has its roots in special relativity and furnishes the theoretical foundations of the κ-statistical mechanics predicting power law tailed statistical distributions, which have been observed experimentally in many physical, natural and artificial systems. After introducing the κ-algebra, we present the associated κ-differential and κ-integral calculus. Then, we obtain the corresponding κ-exponential and κ-logarithm functions and give the κ-version of the main functions of the ordinary mathematics.

1. Introduction

Undoubtedly the most interesting feature of the statistical distribution function:
f i = exp κ ( - β E i + β μ )
where the κ-exponential is defined as:
exp κ ( x ) = ( 1 + κ 2 x 2 + κ x ) 1 / κ , 0 κ < 1
is represented by its asymptotic behavior, namely:
f i β E i - β μ 0 exp ( - β E i + β μ ) , f i E i + N E i - 1 / κ
The above κ-distribution at low energies is the ordinary Boltzmann distribution, while at high energies, it presents a power-law tail. For this reason, the statistical theory [1,2,3,4,5,6,7,8,9,10], based on the distribution in Equation (1), has attracted the interest of many researchers.
In the last twelve years, various authors have considered the foundations of the statistical theory based on the κ-distribution, in connection with the historical evolution of the research on the power-law tailed statistical distributions [7,11], e.g., the H-theorem and the molecular chaos hypothesis [12,13], the thermodynamic stability [14,15], the Lesche stability [16,17,18,19], the Legendre structure of the ensued thermodynamics [20,21], the thermodynamics of non-equilibrium systems [22], quantum versions of the theory [23,24,25,26], the geometrical structure of the theory [27], various mathematical aspects of the theory [3,28,29,30,31,32,33,34,35], etc. On the other hand, specific applications to physical systems have been considered, e.g., cosmic rays [6], relativistic [37] and classical [38] plasmas in the presence of external electromagnetic fields, the relaxation in relativistic plasmas under wave-particle interactions [39,40], anomalous diffusion [41,42], non-linear kinetics [43,44,45], kinetics of interacting atoms and photons [46], particle kinetics in the presence of temperature gradients [47,48], particle systems in external conservative force fields [49], stellar distributions in astrophysics [50,51,52,53], quark-gluon plasma formation citeTewel, quantum hadrodynamics models [55], fracture propagation [56], etc. Other applications concern dynamical systems at the edge of chaos [57,58,59], fractal systems [60], field theories [61], random matrix theory [62,63,64], error theory [65], game theory [66], the theory of complex networks [67], information theory [68], etc. Furthermore, applications to economic systems have been considered, e.g., to study personal income distribution [69,70,71,72,73,74], to model deterministic heterogeneity in tastes and product differentiation [75,76], in finance [77,78], in equity options [79], to construct taxation and redistribution models [80], etc.
In this contribution, we present the main features of the mathematical theory generated by the function, exp κ ( x ) . The κ-mathematics, developed in the last twelve years, turn out to be a continuous one parameter deformation of the ordinary mathematics generated by the Euler exponential function. The κ-mathematics has its roots in special relativity and furnishes the theoretical foundations of the κ-statistical theory predicting power law tailed statistical distributions, which have been observed experimentally in many physical, natural and artificial systems.
The paper is organized as follows: After introducing the κ-algebra, we present the associated κ-differential and κ-integral calculus. Then, we obtain the corresponding κ-generalized exponential and logarithmic functions and give the κ-version of the main functions of the ordinary mathematics.

2. κ-Algebra

Theorem 1. Let x , y R and - 1 < κ < 1 . The composition law, κ , defined through:
x κ y = x 1 + κ 2 y 2 + y 1 + κ 2 x 2
is a generalized sum, called the κ-sum, and the algebraic structure ( R , κ ) forms an abelian group.
Proof. From the definition of κ , the following properties follow.
(1)
associativity: ( x κ y ) κ z = x κ ( y κ z ) ,
(2)
neutral element: x κ 0 = 0 κ x = x ,
(3)
opposite element: x κ ( - x ) = ( - x ) κ x = 0 ,
(4)
commutativity: x κ y = y κ x .
Remark 1. The κ-sum is a one parameter continuous deformation of the ordinary sum, which recovers in the classical limit κ 0 , i.e., x 0 y = x + y . The κ-sum in Equation (4) is the additivity law of the dimensionless relativistic momenta of special relativity, while the real parameter - 1 < κ < 1 is the reciprocal of the dimensionless light speed [3,9]. The κ-difference κ is defined as x κ y = x κ ( - y ) .
Theorem 2. Let x , y R and - 1 < κ < 1 . The composition law, κ , defined through:
x κ y = 1 κ sinh 1 κ arcsinh ( κ x ) arcsinh ( κ y )
is a generalized product, called the κ-product, and the algebraic structure ( R , κ ) forms an abelian group.
Proof. From the definition of κ , the following properties follow.
(1)
associativity: ( x κ y ) κ z = x κ ( y κ z ) ,
(2)
neutral element: is defined through x κ I = I κ x = x and is given by I = κ - 1 sinh κ ,
(3)
inverse element: is defined through x κ x ¯ = x ¯ κ x = I and is given by x ¯ = κ - 1 sinh ( κ 2 / arcsinh κ x ) ,
(4)
commutativity: x κ y = y κ x .
Remark 2. The κ-product reduces to the ordinary product as κ 0 , i.e., x 0 y = x y . The κ-division κ is defined through x κ y = x κ y ¯ .
Theorem 3. Let x , y R and - 1 < κ < 1 . The κ-sum κ defined in Equation (4) and the κ-product κ defined in Equation (5) obey the distributive law:
z κ ( x κ y ) = ( z κ x ) κ ( z κ y )
and then, the algebraic structure ( R , κ , κ ) forms an abelian field.
Proof. The relationship in Equation (6) follows directly from the definitions of the κ-product in Equation (5) and of the κ-sum in Equation (4), which can be written also in the form:
x κ y = 1 κ sinh arcsinh ( κ x ) + arcsinh ( κ y )
Theorem 4. The abelian fields, ( R , κ , κ ) and ( R , + , . ) , are isomorphic.
Proof. After introducing the function, { x } C ( R ) , through:
{ x } = 1 κ arcsinh ( κ x )
whose inverse function, [ x ] C ( R ) , i.e., [ { x } ] = { [ x ] } = x , is given by:
[ x ] = 1 κ sinh ( κ x )
we can write Equation (7) and Equation (5) in the form:
{ x κ y } = { x } + { y }
{ x κ y } = { x } · { y }
or, equivalently, as:
[ x ] κ [ y ] = [ x + y ]
[ x ] κ [ y ] = [ x · y ]
Theorem 5. Let x R and n be an arbitrary nonnegative integer. It holds:
x κ x κ . . . κ x n t i m e s = [ n ] κ x
Proof. The function, [ x ] , and its inverse, { x } , obey the condition [ { x } ] = { [ x ] } = x . Furthermore, we take into account Equation (10) and (13). Then, we have:
x κ x κ . . . κ x = [ { x κ x κ . . . κ x } ]
= [ { x } + { x } + . . . + { x } ]
= [ n · { x } ]
= [ { [ n ] } · { x } ]
= [ n ] κ [ { x } ]
= [ n ] κ x

3. κ-Differential Calculus

3.1. κ-Differential

The κ-differential of x, indicated by d κ x , is defined through:
( x + d x ) κ x = d κ x + 0 ( ( d x ) 2 )
and results to be:
d κ x = d x 1 + κ 2 x 2
In order to better understand the origin of the expression of d κ x , we recall that the variable, x, is a dimensionless momentum. Then, the quantity γ ( x ) = 1 + κ 2 x 2 is the Lorentz factor of relativistic physics, in the momentum representation. Therefore, we can write:
d κ x = d x γ ( x )
Moreover, it holds:
d κ x = d { x } = d { x } d x d x

3.2. κ-Derivative

We define the κ-derivative of the function, f ( x ) , through:
d f ( x ) d κ x = lim z x f ( z ) - f ( x ) z κ x lim d x 0 f ( x + d x ) - f ( x ) ( x + d x ) κ x
We observe that d f ( x ) / d κ x , which reduces to d f ( x ) / d x as the deformation parameter, κ 0 , can be written in the form:
d f ( x ) d κ x = 1 + κ 2 x 2 d f ( x ) d x
From the latter relationship, it follows that the κ-derivative obeys the Leibniz’s rules of the ordinary derivative. After introducing the γ ( x ) Lorentz factor, the κ-derivative can be written also in the form:
d d κ x = γ ( x ) d d x

3.3. κ-Integral

We define the κ-integral as the inverse operator of the κ-derivative through:
d κ x f ( x ) = d x 1 + κ 2 x 2 f ( x )
and note that it is governed by the same rules of the ordinary integral, which recovers when κ 0 .

3.4. Connections with Physics

We indicate with p = | p | and x = p / m v * the moduli of the particle momentum in dimensional and dimensionless form, respectively, and define κ = v * / c . The classical relationship linking x with the dimensionless kinetic energy W = x 2 / 2 follows from the kinetic energy theorem, which in differential form reads:
d d x W = x
The latter equation after replacing the ordinary derivative by the derivative, d / d κ x , i.e.,:
d d κ x W = x
transforms into the corresponding relativistic equation. This differential equation with the condition W ( x = 0 ) = 0 admits as a unique solution W = 1 + κ 2 x 2 - 1 / κ 2 , defining the relativistic kinetic energy.
Let us consider the four-dimensional Lorentz invariant integral:
I = d 4 p θ ( p 0 ) δ ( p μ p μ - m 2 c 2 ) F ( p )
p μ = ( p 0 , p ) = m 2 c 2 + p 2 , p , θ ( . ) being the Heaviside step function and δ ( . ) , the Dirac delta function. It is trivial to verify that the latter integral transforms into the one-dimension integral:
I d κ x f ( x )
being f ( x ) = 4 π x 2 F ( x ) . Then, the κ-integral is essentially the Lorentz invariant integral of special relativity.

4. The Function exp κ ( x )

4.1. Definition

We recall that the ordinary exponential f ( x ) = exp ( x ) emerges as a solution both of the functional equation f ( x + y ) = f ( x ) f ( y ) and of the differential equation ( d / d x ) f ( x ) = f ( x ) . The question to determine the solution of the generalized equations:
f ( x κ y ) = f ( x ) f ( y )
d f ( x ) d κ x = f ( x )
reducing in the κ 0 limit to the ordinary exponential naturally arises. This solution is unique and represents a one-parameter generalization of the ordinary exponential.
Solution of Equation (28): We write this equation explicitly:
f x 1 + κ 2 y 2 + y 1 + κ 2 x 2 = f ( x ) f ( y )
which, after performing the change of variables, f ( x ) = exp ( g ( κ x ) ) , z 1 = κ x , z 2 = κ y , transforms as:
g z 1 1 + z 2 2 + z 2 1 + z 1 2 = g ( z 1 ) + g ( z 2 )
and admits as a solution g ( x ) = A arcsinh x . Then, it results that f ( x ) = exp ( A arcsinh κ x ) . The arbitrary constant, A, can be fixed through the condition lim κ 0 f ( x ) = exp ( x ) , obtaining A = 1 / κ . Therefore, f ( x ) assumes the form f ( x ) = exp κ x , being:
exp κ ( x ) = exp 1 κ arcsinh κ x
Solution of Equation (29): According to Equation (29), the function f ( x ) = exp κ ( x ) is defined as the eigenfunction of d / d κ x , i.e.,:
d exp κ ( x ) d κ x = exp κ ( x )
After recalling that d κ x = d { x } with { x } = κ - 1 arcsinh κ x , Equation (33) can be written in the form:
d exp κ ( x ) d { x } = exp κ ( x )
The solution of the latter equation with the condition exp κ ( 0 ) = 1 follows immediately:
exp κ ( x ) = exp ( { x } )
After taking into account that arcsinh x = ln ( 1 + x 2 + x ) , we can write exp κ ( x ) in the form:
exp κ ( x ) = 1 + κ 2 x 2 + κ x 1 / κ
which will be used in the following. We remark that exp κ ( x ) given by Equation (36) is the solution of both Equation (28) and Equation (29) and, therefore, represents a generalization of the ordinary exponential.

4.2. Basic Properties

From the definition in Equation (36) of exp κ ( x ) follows that:
exp 0 ( x ) lim κ 0 exp κ ( x ) = exp ( x )
exp - κ ( x ) = exp κ ( x )
Like the ordinary exponential, exp κ ( x ) has the properties:
exp κ ( x ) C ( R )
d d x exp κ ( x ) > 0
exp κ ( - ) = 0 +
exp κ ( 0 ) = 1
exp κ ( + ) = +
exp κ ( x ) exp κ ( - x ) = 1
In Figure 1 is plotted the function, exp κ ( x ) , defined in Equation (36) for three different values of the parameter of κ. The continuous curve corresponding to κ = 0 is the ordinary exponential function, exp ( x ) .
Figure 1. Plot of the function, exp κ ( x ) , defined in Equation (36) for three different values of the parameter of κ. The continuous curve corresponding to κ = 0 is the ordinary exponential function, exp ( x ) .
Figure 1. Plot of the function, exp κ ( x ) , defined in Equation (36) for three different values of the parameter of κ. The continuous curve corresponding to κ = 0 is the ordinary exponential function, exp ( x ) .
Entropy 15 03983 g001
Property in Equation (44) emerges as a particular case of the more general one:
exp κ ( x ) exp κ ( y ) = exp κ ( x κ y )
Furthermore, exp κ ( x ) has the property:
exp κ ( x ) r = exp κ / r ( r x )
with r R , which in the limit, κ 0 , reproduces one well known property of the ordinary exponential.
We remark the following convexity property:
d 2 d x 2 exp κ ( x ) > 0 ; x R
holding when κ 2 < 1 .
Undoubtedly, one of the more interesting properties of exp κ ( x ) is its power law asymptotic behavior:
exp κ ( x ) x ± | 2 κ x | ± 1 / | κ |

4.3. Mellin Transform

Let us consider the incomplete Mellin transform of the exp κ ( - t ) :
M κ ( r , x ) = 0 x t r - 1 exp κ ( - t ) d t
After performing the change of integration variable y = 1 + κ 2 t 2 - | κ | t 2 and after taking into account that t = 1 2 | κ | y - 1 / 2 - y 1 / 2 and exp κ ( - t ) = y 1 / 2 | κ | , the function, M κ ( r , x ) , can be written in the form:
M κ ( r , x ) = 1 2 | 2 κ | - r X 1 y 1 2 | κ | - r 2 - 1 1 - y r - 1 1 + y d y
with:
X = 1 + κ 2 x 2 - | κ | x 2
When r is an integer greater than zero, M κ ( r , x ) can be calculated analytically. For instance, it results:
M κ ( 1 , x ) = 1 1 - κ 2 - κ 2 x + 1 + κ 2 x 2 1 - κ 2 exp κ ( - x )
M κ ( 2 , x ) = 1 1 - 4 κ 2 - 1 + 2 κ 2 x 2 + x 1 + κ 2 x 2 1 - 4 κ 2 exp κ ( - x )
In general, the function, M κ ( r , x ) , can be written as:
M κ ( r , x ) = 1 2 | 2 κ | - r I 1 ( r ) - I X ( r )
with:
I X ( r ) = 0 X y 1 2 | κ | - r 2 - 1 1 - y r - 1 d y + 0 X y 1 2 | κ | - r 2 1 - y r - 1 d y
After recalling the definition of the Beta incomplete function B X s , r = 0 X y s - 1 1 - y r - 1 d y , the integral, I X ( r ) , becomes:
I X ( r ) = B X 1 2 | κ | - r 2 , r + B X 1 2 | κ | - r 2 + 1 , r
The function, I 1 ( r ) , can be expressed in terms of the Beta functions B s , r = 0 1 y s - 1 1 - y r - 1 d y and, then, in terms of Gamma functions, obtaining:
I 1 ( r ) = 2 Γ r 1 + | κ | r Γ 1 2 | κ | - r 2 Γ 1 2 | κ | + r 2
Finally, the incomplete Mellin transform, M κ ( r , x ) , of exp κ ( - t ) assumes the form:
M κ ( r , x ) = | 2 κ | - r 1 + | κ | r Γ 1 2 | κ | - r 2 Γ 1 2 | κ | + r 2 Γ r
- 1 2 | 2 κ | - r B X 1 2 | κ | - r 2 , r
- 1 2 | 2 κ | - r B X 1 2 | κ | - r 2 + 1 , r
The Mellin transform of exp κ ( - t ) , namely:
M κ ( r ) = 0 t r - 1 exp κ ( - t ) d t
can be calculated from Equation (58) by posing x = . The explicit expression of M κ ( r ) holding for 0 < r < 1 / | κ | is given by:
M κ ( r ) = | 2 κ | - r 1 + | κ | r Γ 1 2 | κ | - r 2 Γ 1 2 | κ | + r 2 Γ r
From the latter relationship, one can verify easily the property:
M κ ( r + 2 ) = r ( r + 1 ) 1 - κ 2 ( r + 2 ) 2 M κ ( r )

4.4. Taylor Expansion

The Taylor expansion of exp κ ( x ) given in [3] can be written also in the following form:
exp κ ( x ) = n = 0 x n n ! κ ; κ 2 x 2 < 1
where the symbol, n ! κ , representing the κ-generalization of the ordinary factorial, n ! , recovered for κ = 0 , is given by:
n ! κ = n ! ξ n ( κ )
and the polynomials, ξ n ( κ ) , are defined as:
ξ 0 ( κ ) = ξ 1 ( κ ) = 1
ξ n ( κ ) = j = 1 n - 1 1 - ( 2 j - n ) κ ; n > 1
The polynomials, ξ n ( κ ) , for n > 1 , when n is odd, are of the degree n - 1 , with respect to the variable, κ, while when n is even, the degree of ξ n ( κ ) is n - 2 . The degree of ξ n ( κ ) is always an even number, and it results:
ξ 2 m ( κ ) = j = 0 m - 1 1 - ( 2 j ) 2 κ 2 ; m > 0
ξ 2 m + 1 ( κ ) = j = 0 m - 1 1 - ( 2 j + 1 ) 2 κ 2 ; m > 0
The polynomials, ξ n ( κ ) , can be generated by the following simple recursive formula:
ξ 0 ( κ ) = ξ 1 ( κ ) = 1
ξ n + 2 ( κ ) = ( 1 - n 2 κ 2 ) ξ n ( κ ) ; n 0
The first nine polynomials read as:
ξ 0 ( κ ) = ξ 1 ( κ ) = ξ 2 ( κ ) = 1
ξ 3 ( κ ) = 1 - κ 2
ξ 4 ( κ ) = 1 - 4 κ 2
ξ 5 ( κ ) = ( 1 - κ 2 ) ( 1 - 9 κ 2 )
ξ 6 ( κ ) = ( 1 - 4 κ 2 ) ( 1 - 16 κ 2 )
ξ 7 ( κ ) = ( 1 - κ 2 ) ( 1 - 9 κ 2 ) ( 1 - 25 κ 2 )
ξ 8 ( κ ) = ( 1 - 4 κ 2 ) ( 1 - 16 κ 2 ) ( 1 - 36 κ 2 )
After noting that for a given value of κ, the maximum natural number, N, satisfying the condition N < 2 + 1 / | κ | is defined univocally, we can verify easily that for n = 0 , 1 , 2 , . . . , N , it results ξ n ( κ ) > 0 and, then, n ! κ > 0 . For n > N , the sign of ξ n ( κ ) and, then, of n ! κ alternates with periodicity - - + + - - + + . . .
From Equation (63) and (69) follows the recursive formula:
( n + 2 ) ! κ = ( n + 1 ) ( n + 2 ) 1 - n 2 κ 2 n ! κ
By direct comparison of Equation (61) and Equation (77), we obtain the relationship:
n ! κ = 1 - κ 2 n 2 n 0 t n - 1 exp κ ( - t ) d t
It is remarkable that the first three terms in the Taylor expansion of exp κ ( x ) are the same as the ordinary exponential:
exp κ ( x ) = 1 + x + x 2 2 + ( 1 - κ 2 ) x 3 3 ! + . . .

4.5. The Function Γ κ ( x )

The Γ κ ( n ) with an n integer is defined through:
Γ κ ( n ) = ( n - 1 ) ! κ
and represents a generalization of the Euler Γ ( n ) function. In particular, we have Γ κ ( 1 ) = Γ κ ( 2 ) = 1 and Γ κ ( 3 ) = 2 . This definition and the relationship in Equation (78) suggests the following one parameter generalization of the Euler Γ ( x ) function, i.e., Γ κ ( x ) , given by:
Γ κ ( x ) = 1 - κ 2 ( x - 1 ) 2 ( x - 1 ) 0 t x - 2 exp κ ( - t ) d t
The explicit expression of Γ κ ( x ) in terms of the ordinary Γ ( x ) is given by:
Γ κ ( x ) = 1 - | κ | ( x - 1 ) | 2 κ | x - 1 Γ 1 | 2 κ | - x - 1 2 Γ 1 | 2 κ | + x - 1 2 Γ x
and can be used as the definition of Γ κ ( x ) when x is a complex variable. Clearly, in the κ 0 limit, it results Γ 0 ( x ) = Γ ( x ) . An expression of Γ κ ( x ) in terms of the Beta function is the following:
Γ κ ( x ) = 1 - | κ | ( x - 1 ) | 2 κ | x - 1 ( x - 1 ) B 1 | 2 κ | - x - 1 2 , x - 1
From Equation (61) and Equation (81) follows the property:
Γ κ ( x + 2 ) = x ( x + 1 ) 1 - κ 2 ( x - 1 ) 2 Γ κ ( x )
The Taylor expansion of exp κ ( x ) can be written also in the form:
exp κ ( x ) = n = 0 x n Γ κ ( n + 1 ) ; κ 2 x 2 < 1
In Figure 2 and Figure 3 is plotted the function, Γ κ ( x ) , defined in Equation (82) in the ranges - 4 < x < 4 and 9 < x < 12 , respectively, for κ = 0 and κ = 0 . 15 . The continuous curve corresponding to κ = 0 is the ordinary Gamma function, Γ ( x ) .
Figure 2. Plot of the function, Γ κ ( x ) , defined in Equation (82) in the range - 4 < x < 4 for κ = 0 and κ = 0 . 15 . The continuous curve corresponding to κ = 0 is the ordinary Gamma function, Γ ( x ) .
Figure 2. Plot of the function, Γ κ ( x ) , defined in Equation (82) in the range - 4 < x < 4 for κ = 0 and κ = 0 . 15 . The continuous curve corresponding to κ = 0 is the ordinary Gamma function, Γ ( x ) .
Entropy 15 03983 g002
The incomplete γ κ ( r , x ) and Γ κ ( r , x ) are defined as:
γ κ ( r , x ) = 1 - κ 2 ( r - 1 ) 2 ( r - 1 ) 0 x t r - 2 exp κ ( - t ) d t
Γ κ ( r , x ) = 1 - κ 2 ( r - 1 ) 2 ( r - 1 ) x t r - 2 exp κ ( - t ) d t
and hold the following relationships:
γ κ ( r , x ) + Γ κ ( r , x ) = Γ κ ( r )
γ κ ( r , ) = Γ κ ( r )
γ κ ( r , x ) = ( r - 1 ) 1 - κ 2 ( r - 1 ) 2 M κ ( r - 1 , x )
Figure 3. Plot of the function, Γ κ ( x ) , defined in Equation (82) in the range 9 < x < 12 for κ = 0 and κ = 0 . 15 . The continuous curve corresponding to κ = 0 is the ordinary Gamma function, Γ ( x ) .
Figure 3. Plot of the function, Γ κ ( x ) , defined in Equation (82) in the range 9 < x < 12 for κ = 0 and κ = 0 . 15 . The continuous curve corresponding to κ = 0 is the ordinary Gamma function, Γ ( x ) .
Entropy 15 03983 g003

4.6. Expansion in Ordinary Exponentials

Starting from Expression (32) in Equation exp κ ( x ) and the Taylor expansion of the function, arcsinh ( x ) , we obtain:
exp κ ( x ) = exp n = 0 c n κ 2 n x 2 n + 1 , κ 2 x 2 1
with:
c n = ( - 1 ) n ( 2 n ) ! ( 2 n + 1 ) 2 2 n ( n ! ) 2
Exploiting this relationship, we can write exp κ ( x ) as an infinite product of ordinary exponentials:
exp κ ( x ) = n = 0 exp c n κ 2 n x 2 n + 1
On the other hand, exp κ ( x ) can be viewed as a continuous linear combination of an infinity of standard exponentials. Namely, for Re s 0 , the following Laplace transform holds:
exp κ ( - s ) = 0 1 κ x J 1 / κ x κ exp ( - s x ) d x
J ν ( x ) being the Bessel function.

4.7. The κ-Laplace Transform

The following κ-Laplace transform emerges naturally:
F κ ( s ) = L κ { f ( t ) } ( s ) = 0 f ( t ) [ exp κ ( - t ) ] s d t
as a generalization of the ordinary Laplace transform. The inverse κ-Laplace transform is given by:
f ( t ) = L κ - 1 { F κ ( s ) } ( t ) = 1 2 π i c - i c + i F κ ( s ) [ exp κ ( t ) ] s 1 + κ 2 t 2 d s
In [34], the mathematical properties of the κ-Laplace transform have been investigated systematically. In Table 1 are reported the main properties of the κ-Laplace transform, which in the κ 0 limit reduce to the corresponding ordinary Laplace transform properties.
Table 1. Properties of the κ-Laplace transform.
Table 1. Properties of the κ-Laplace transform.
f ( t ) F κ ( s )
a f ( t ) + b g ( t ) a F κ ( s ) + b G κ ( s )
f ( a t ) 1 a F κ / a ( s a )
f ( t ) [ exp κ ( - t ) ] a F κ ( s - a )
d f ( t ) d t s L κ f ( t ) 1 + κ 2 t 2 ( s ) - f ( 0 )
d d t 1 + κ 2 t 2 f ( t ) s F κ ( s ) - f ( 0 )
1 1 + κ 2 t 2 0 t f ( w ) d w 1 s F κ ( s )
f ( t ) [ ln ( exp κ ( t ) ) ] n ( - 1 ) n d n F κ ( s ) d s n
f ( t ) [ ln ( exp κ ( t ) ) ] - n s + d w n w n + d w n - 1 . . . w 3 + d w 2 w 2 + d w 1 F κ ( w 1 )
Furthermore, the initial value theorem holds:
lim t 0 f ( t ) = lim s s F κ ( s )
and the final value theorem:
lim t | κ | t f ( t ) = lim s 0 s F κ ( s )
The κ-convolution of two functions, f * κ g = ( f * κ g ) ( t ) , is defined as:
f * κ g = 0 t f ( t κ τ ) g ( τ ) 1 - κ 2 τ ( t - τ ) 1 + κ 2 τ 2 d τ
and has the following properties:
f * κ ( a g + b h ) = a ( f * κ g ) + b ( f * κ h )
f * κ g = g * κ f
f * κ ( g * κ h ) = ( f * κ g ) * κ h
the following κ-convolution theorem holds:
L κ { f * κ g } = L κ { f } L κ { g }
In Table 2 are reported the κ-Laplace transforms for the delta function, for the unit function and for the power function. We note that the κ-Laplace transform of the power function f ( t ) = t ν - 1 involves the κ-generalized Gamma function. All the κ-Laplace transforms in the κ 0 limit reduce to the corresponding ordinary Laplace transforms.
Table 2. The κ-Laplace transform of the Dirac delta-function, of the Heaviside unit function and of the power function.
Table 2. The κ-Laplace transform of the Dirac delta-function, of the Heaviside unit function and of the power function.
f ( t ) F κ ( s )
δ ( t - τ ) [ exp κ ( - τ ) ] s
u ( t - τ ) s 1 + κ 2 τ 2 + κ 2 τ s 2 - κ 2 [ exp κ ( - τ ) ] s
t ν - 1 s 2 s 2 - κ 2 ν 2 Γ κ s ( ν + 1 ) ν s ν = s s + | κ | ν Γ ( ν ) | 2 κ | ν Γ s | 2 κ | - ν 2 Γ s | 2 κ | + ν 2
t 2 m - 1 , m Z + ( 2 m - 1 ) ! j = 1 m s 2 - ( 2 j ) 2 κ 2
t 2 m , m Z + ( 2 m ) ! s j = 1 m + 1 s 2 - ( 2 j - 1 ) 2 κ 2

5. The Function ln κ ( x )

5.1. Definition and Basic Properties

The function, ln κ ( x ) , is defined as the inverse function of exp κ ( x ) , namely:
ln κ ( exp κ x ) = exp κ ( ln κ x ) = x
and is given by:
ln κ ( x ) = [ ln x ]
and then:
ln κ ( x ) = 1 κ sinh ( κ ln x )
or more properly:
ln κ ( x ) = x κ - x - κ 2 κ
It results that:
ln 0 ( x ) lim κ 0 ln κ ( x ) = ln ( x )
ln - κ ( x ) = ln κ ( x )
The function, ln κ ( x ) , just as the ordinary logarithm, has the properties:
ln κ ( x ) C ( R + )
d d x ln κ ( x ) > 0
ln κ ( 0 + ) = -
ln κ ( 1 ) = 0
ln κ ( + ) = +
ln κ ( 1 / x ) = - ln κ ( x )
In Figure 4 is plotted the function, ln κ ( x ) , defined in Equation (107) for three different values of the parameter of κ. The continuous curve corresponding to κ = 0 is the ordinary logarithm function, ln ( x ) .
Figure 4. Plot of the function, ln κ ( x ) , defined by Equation (107) for three different values of the parameter of κ. The continuous curve corresponding to κ = 0 is the ordinary logarithm function, ln ( x ) .
Figure 4. Plot of the function, ln κ ( x ) , defined by Equation (107) for three different values of the parameter of κ. The continuous curve corresponding to κ = 0 is the ordinary logarithm function, ln ( x ) .
Entropy 15 03983 g004
Furthermore, ln κ ( x ) has the two properties:
ln κ ( x r ) = r ln r κ ( x )
ln κ ( x y ) = ln κ ( x ) κ ln κ ( y )
with r R . Note that property in Equation (115) follows as a particular case of property in Equation (117).
We remark the following concavity properties:
d 2 d x 2 ln κ ( x ) < 0
d 2 d x 2 x ln κ ( x ) < 0
A very interesting property of this function is its power law asymptotic behavior:
ln κ ( x ) x 0 + - 1 2 | κ | x - | κ |
ln κ ( x ) x + 1 2 | κ | x | κ |
After recalling the integral representation of the ordinary logarithm:
ln ( x ) = 1 2 1 / x x 1 t d t
one can verify that the latter relationship can be generalized easily in order to obtain ln κ ( x ) , by replacing the integrand function y 0 ( t ) = t - 1 by the new function y κ ( t ) = t - 1 - κ , namely:
ln κ ( x ) = 1 2 1 / x x 1 t 1 + κ d t

5.2. Taylor Expansion

The Taylor expansion of ln κ ( 1 + x ) converges if - 1 < x 1 and assumes the form:
ln κ ( 1 + x ) = n = 1 b n ( κ ) ( - 1 ) n - 1 x n n
with b 1 ( κ ) = 1 , while for n > 1 , b n ( κ ) is given by:
b n ( κ ) = 1 2 1 - κ 1 - κ 2 . . . 1 - κ n - 1
+ 1 2 1 + κ 1 + κ 2 . . . 1 + κ n - 1
It results b n ( 0 ) = 1 and b n ( - κ ) = b n ( κ ) . The first terms of the expansion are:
ln κ ( 1 + x ) = x - x 2 2 + 1 + κ 2 2 x 3 3 - . . .

5.3. The Function Γ κ ( x )

The following integral is useful:
0 1 ln κ 1 x r - 1 d x
= | 2 κ | 1 - r 1 + ( r - 1 ) | κ | Γ 1 | 2 κ | - r - 1 2 Γ 1 | 2 κ | + r - 1 2 Γ r
Starting from the definition of the generalized Euler gamma function, i.e., Γ κ ( x ) given in the previous section, we can write it also in the following alternative, but equivalent form:
Γ κ ( x ) = 1 - κ 2 ( x - 1 ) 2 0 1 ln κ 1 t x - 1 d t
An expression of Γ κ ( x ) , where the parameter κ enters exclusively through the function, ln κ ( . ) , follows easily:
Γ κ ( x ) = ( x - 1 ) 0 1 ln κ 1 t x - 1 d t 0 1 ln κ 1 t x - 1 d t
From the latter relationships, it follows that n ! κ is given by:
n ! κ = 1 - κ 2 n 2 0 1 ln κ 1 t n d t = n 0 1 ln κ 1 t n d t 0 1 ln κ 1 t n d t

5.4. ln κ ( x ) as the Solution of a Functional Equation

The logarithm y ( x ) = ln ( x ) is the only existing function, unless a multiplicative constant, which results in being the solution of the function equation y ( x 1 x 2 ) = y ( x 1 ) + y ( x 2 ) . Let us consider now the generalization of this equation, obtained by substituting the ordinary sum by the generalized sum:
y ( x 1 x 2 ) = y ( x 1 ) κ y ( x 2 )
We proceed by solving this equation, which assumes the explicit form:
y ( x 1 x 2 ) = y ( x 1 ) 1 + κ 2 y ( x 2 ) 2
+ y ( x 2 ) 1 + κ 2 y ( x 1 ) 2
After performing the substitution y ( x ) = κ - 1 sinh κ g ( x ) , we obtain that the auxiliary function, g ( x ) , obeys the equation g ( x 1 x 2 ) = g ( x 1 ) + g ( x 2 ) and, then, is given by g ( x ) = A ln x . The unknown function, y ( x ) , becomes y ( x ) = κ - 1 sinh ( κ ln x ) where we have set A = 1 in order to recover, in the limit κ 0 , the classical solution y ( x ) = ln ( x ) . Then, we can conclude that the solution of Equation (uid135) is given by:
y ( x ) = ln κ ( x )

5.5. ln κ ( x ) as the Solution of a Differential-Functional Equation

The following first order differential-functional equation emerges in statistical mechanics within the context of the maximum entropy principle:
d d x [ x f ( x ) ] = 1 γ f ϵ x
f ( 1 ) = 0
f ( 1 ) = 1
f 1 / x = - f x
The latter problem admits two solutions [3,9]. The first is given by f ( x ) = ln ( x ) and γ = 1 , ϵ = e . The second solution is given by:
f ( x ) = ln κ ( x )
and:
γ = 1 1 - κ 2
ϵ = 1 + κ 1 - κ 1 / 2 κ
The constant, γ, is the Lorentz factor corresponding to the reference velocity v * , while the constant, ϵ = exp κ ( γ ) , represents the κ-generalization of the Napier number, e.

5.6. The Entropy

A physically meaningful link between the functions, ln κ ( x ) and exp κ ( x ) , is given by a variational principle. The following theorem holds:
Theorem 6. Let g ( x ) be an arbitrary real function and y ( x ) , a probability distribution function of the variable, x A . The solution of the variational equation:
δ δ y ( x ) - A d x y ( x ) ln κ y ( x ) + A d x y ( x ) g ( x ) = 0
is unique and is given by:
y ( x ) = 1 ϵ exp κ γ g ( x )
the constants γ and ϵ being defined by Equations (139) and (140), respectively.
The proof of the theorem is trivial and employs Equation (134). This theorem permits us to interpret the functional:
S κ = - A d x y ( x ) ln κ y ( x )
which can be written also in the form:
S κ = A d x y ( x ) 1 - κ - y ( x ) 1 + κ 2 κ
as the entropy associated with the function, exp κ x . It is remarkable that in the κ 0 limit, as ln κ ( y ) and exp κ x approach ln ( y ) and exp ( x ) , respectively, the new entropy reduces to the old Boltzmann-Shannon entropy.
It is shown that the entropy S κ has the standard properties of Boltzmann-Shannon entropy: it is thermodynamically and Lesche stable and obeys the Khinchin axioms of continuity, maximality, expandability and generalized additivity.

6. κ-Trigonometry

6.1. κ-Hyperbolic Trigonometry

The κ-hyperbolic trigonometry can be introduced by defining the κ-hyperbolic sine and κ-hyperbolic cosine:
sinh κ ( x ) = exp κ ( x ) - exp κ ( - x ) 2
cosh κ ( x ) = exp κ ( x ) + exp κ ( - x ) 2
starting from the κ-Euler formula:
exp κ ( ± x ) = cosh κ ( x ) ± sinh κ ( x )
In Figure 5 are plotted the functions, sinh κ ( x ) and cosh κ ( x ) , for κ = 0 . 3 (dashed lines). For comparison, in the same figure are reported the corresponding ordinary functions, sinh ( x ) and cosh ( x ) (continuous lines).
Figure 5. Plot of the functions, sinh κ ( x ) and cosh κ ( x ) , for κ = 0 . 3 (dashed lines) defined through Equations (145) and (146), respectively. For comparison, in the same plot are reported the corresponding ordinary functions, sinh ( x ) and cosh ( x ) (continuous lines).
Figure 5. Plot of the functions, sinh κ ( x ) and cosh κ ( x ) , for κ = 0 . 3 (dashed lines) defined through Equations (145) and (146), respectively. For comparison, in the same plot are reported the corresponding ordinary functions, sinh ( x ) and cosh ( x ) (continuous lines).
Entropy 15 03983 g005
The κ-hyperbolic tangent and cotangent functions are defined through:
tanh κ ( x ) = sinh κ ( x ) cosh κ ( x )
coth κ ( x ) = cosh κ ( x ) sinh κ ( x )
Holding the relationships:
sinh κ ( x ) = sinh { x }
cosh κ ( x ) = cosh { x }
tanh κ ( x ) = tanh { x }
coth κ ( x ) = coth { x }
it is straightforward to verify that κ-hyperbolic trigonometry preserves the same structure of the ordinary hyperbolic trigonometry, which recovers as a special case in the limit κ 0 . For instance, from the κ-Euler formula and from exp κ ( - x ) exp κ ( x ) = 1 , the fundamental formula of the κ-hyperbolic trigonometry follows:
cosh κ 2 ( x ) - sinh κ 2 ( x ) = 1
All the formulas of the ordinary hyperbolic trigonometry still hold, after proper generalization. Taking into account that { x κ y } = { x } + { y } , it is easy to verify that the generalization of a given formula can be obtained starting from the corresponding ordinary formula and, then, by making in the arguments of the hyperbolic trigonometric functions the substitutions x + y x κ y and x - y x κ y . For instance, it results:
sinh κ ( x κ y ) + sinh κ ( x κ y ) = 2 sinh κ ( x ) cosh κ ( y )
cosh κ ( x κ y ) = cosh κ ( x ) cosh κ ( x ) + sinh κ ( x ) sinh κ ( y )
tanh κ ( x ) + tanh κ ( y ) = sinh κ ( x κ y ) cosh κ ( x ) cosh κ ( y )
and so on.
Obviously, the substitution n x x κ x κ . . . κ x = [ n ] κ x is required, so that, for instance, it holds the formula:
sinh κ 4 ( x ) = 1 8 cosh κ [ 4 ] κ x - 4 cosh κ [ 2 ] κ x + 3
and so on.
The κ-De Moivre formula involving hyperbolic trigonometric functions having arguments of the type r x , with r R , assumes the form:
[ cosh κ ( x ) ± sinh κ ( x ) ] r = cosh κ / r ( r x ) ± sinh { κ / r } ( r x )
Furthermore, the formulas involving the derivatives of the hyperbolic trigonometric function still hold, after being properly generalized. For instance, we have:
d sinh κ ( x ) d κ x = cosh κ ( x )
d tanh κ ( x ) d κ x = cosh κ - 2 ( x )
and so on.
The κ-inverse hyperbolic functions can be introduced starting from the corresponding ordinary functions. It is trivial to verify that κ-inverse hyperbolic functions are related to the κ-logarithm by the usual formulas of the ordinary mathematics. For instance, we have:
arcsinh κ ( x ) = ln κ 1 + x 2 + x
arccosh κ ( x ) = ln κ x 2 - 1 + x
arctanh κ ( x ) = ln κ 1 + x 1 - x
arccoth κ ( x ) = ln κ 1 - x 1 + x
and, consequently, hold:
arcsinh κ ( x ) = arccosh κ 1 + x 2
arcsinh κ ( x ) = arctanh κ x 1 + x 2
arcsinh κ ( x ) = arccoth κ 1 + x 2 x
From Equation (162) follows the relationship:
exp κ arcsinh κ x = exp arcsinh x
Furthermore, the relationship:
arcsinh κ x = 1 κ sinh 1 / κ κ x
involving the function, arcsinh κ ( x ) , follows from Equation (162). Analogous formulas involving arccosh κ ( x ) , arctanh κ ( x ) or arccoth κ ( x ) do not hold, instead.

6.2. κ-Cyclic Trigonometry

By employing the generalized κ-Euler formula:
exp κ ( ± i x ) = cos κ ( x ) ± i sin κ ( x )
we introduce the κ-cyclic sine and κ-cosine as:
sin κ ( x ) = exp κ ( i x ) - exp κ ( - i x ) 2 i
cos κ ( x ) = exp κ ( i x ) + exp κ ( - i x ) 2
while the κ-cyclic tangent and κ-cotangent functions are defined through:
tan κ ( x ) = sin κ ( x ) cos κ ( x )
cot κ ( x ) = cos κ ( x ) sin κ ( x )
After noting that:
exp κ ( i x ) = exp i { x }
with:
{ x } = 1 κ arcsin κ x
it follows that the cyclic functions are defined in the interval, - 1 / κ x 1 / κ . The function:
[ x ] = 1 κ sin κ x
is defined as the inverse of { x } , i.e, [ { x } ] = { [ x ] } = x . The κ-sum κ and κ-product κ given by:
x κ y = x 1 - κ 2 y 2 + y 1 - κ 2 x 2
x κ y = 1 κ sin 1 κ arcsin ( κ x ) arcsin ( κ y )
are isomorphic operations to the ordinary sum and product respectively, i.e.:
{ x κ y } = { x } + { y }
{ x κ y } = { x } · { y }
Holding the relationships:
sin κ ( x ) = sin { x }
cos κ ( x ) = cos { x }
tan κ ( x ) = tan { x }
cot κ ( x ) = cot { x }
It is straightforward to verify that the generalized cyclic trigonometry preserves the same structure of the ordinary cyclic trigonometry, which recovers as a special case in the limit κ 0 . For instance, the following generalized formulas hold:
cos κ 2 ( x ) + sin κ 2 ( x ) = 1
sin κ ( x κ y ) = sin κ ( x ) cos κ ( y ) + cos κ ( x ) sin κ ( y )
cos κ 5 ( x ) = 1 16 cos κ [ 5 ] κ x + 5 cos κ [ 3 ] κ x + 10 cos κ ( x )
and so on.
After introducing the following κ-deformed derivative operator:
d d κ x = 1 - κ 2 x 2 d d x
we can obtain, easily, further formulas on the cyclic κ-trigonometry emerging as generalizations of the corresponding formulas of the ordinary trigonometry. For instance, we have:
d cos κ ( x ) d κ x = - sin κ ( x )
d cot κ ( x ) d κ x = - sin κ - 2 ( x )
and so on.
The κ-inverse cyclic functions can be calculated by inversion of the corresponding direct functions and are given by:
arcsin κ ( x ) = - i ln κ 1 - x 2 + i x
arccos κ ( x ) = - i ln κ x 2 - 1 + x
arctan κ ( x ) = i ln κ 1 - i x 1 + i x
arccot κ ( x ) = i ln κ i x + 1 i x - 1
Finally, we note that the κ-cyclic and κ-hyperbolic trigonometric functions are linked through the relationships:
sin κ ( x ) = - i sinh κ ( i x )
cos κ ( x ) = cosh κ ( i x )
tan κ ( x ) = - i tanh κ i x
cot κ ( x ) = i coth κ i x
arcsin κ ( x ) = - i arcsinh κ ( i x )
arccos κ ( x ) = - i arccosh κ ( x )
arctan κ ( x ) = - i arctanh κ ( i x )
arccot κ ( x ) = i arccoth κ ( i x )
which, in the κ 0 limit, reduce to the standard formulas involving the ordinary cyclic and hyperbolic functions.

Conflicts of Interest

The author declares no conflict of interest.

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MDPI and ACS Style

Kaniadakis, G. Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions. Entropy 2013, 15, 3983-4010. https://0-doi-org.brum.beds.ac.uk/10.3390/e15103983

AMA Style

Kaniadakis G. Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions. Entropy. 2013; 15(10):3983-4010. https://0-doi-org.brum.beds.ac.uk/10.3390/e15103983

Chicago/Turabian Style

Kaniadakis, Giorgio. 2013. "Theoretical Foundations and Mathematical Formalism of the Power-Law Tailed Statistical Distributions" Entropy 15, no. 10: 3983-4010. https://0-doi-org.brum.beds.ac.uk/10.3390/e15103983

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