Expression of Some Special Functions through q -Exponentials of the Nonadditive Statistical Mechanics

Generalized q-exponentials functions are employed to make a generalization of complete and incomplete gamma functions. We obtain a generalization of this class of special functions which are very important in the fields of probability, statistics, statistical physics as well as combinatorics and we derive some of its properties. One gets that the generalized gamma function ob-tained whether approaches of the standard gamma function for a specific q values such as large variation with the variation of q.


Introduction
The generalization of elementary functions such as exponential function in q-exponential has been proposed since long time ago [1]. However, more recently, another type of q-exponential has been introduced in the environment of the nonadditive statistical mechanics [2], where the theory has been proposed as a generalization of the standard Boltzmann-Gibbs statistical mechanics for the class of system that is non-ergotic. Many other q-representations were proposed such as the q-algebra [3], the q-Fourier transform [2] [4], the q-Dirac's delta function [5] [6], the q-Gaussian [5] [7] [8] and so on. Moreover, combinations of complex q-exponentials were used to make a new representation of the classical nonlinear oscillator [9], where a combination of complex q-exponentials have been of interest also for recent q-generalized Schrödinger and Dirac equa-entropy is described by the so called Tsallis entropy [2], previously introduced by Havrdat-Charvát [10] and later on by Daróczy [11], parameterized by an exponent q. The distribution that maximizes the Tsallis entropy under the constraint of the fixed energy generalizes the Boltzmann distribution through a generalized q-exponential function. Furthermore, in the nonadditive statistical mechanics, when the limit of the parameter of non-extensiveness q is 1 q → , one recovers the standard exponential (and thus, the Gaussian or Boltzmann distribution). Many other classical equations (e.g. the Schrödinger equation) were generalized, replacing the classical exponential with the q-exponential. One example of non-ergodic systems that have been studied is system with long range interactions [12] [13] [14].
In addition, there is another definition of q-exponential given in combinatorial mathematics, where q-exponential is a q-analog of the standard exponential function namely, the eigenfunction of a q-derivative. There are many q-derivatives, for example, the classical q-derivative, the Askey-Wilson operator and so on [15]. Therefore, unlike the classical exponentials, q-exponentials are not unique.
Moreover, it has been constructed rational expansions to x e by Németh and Newman in Ref. [16].
A special function very important is the gamma function ( ) > . This is an extension for the complex plane of the factorial function ! n , for n ∈  , with its argument shifted down by 1, to real and complex numbers. Thus, the gamma function is defined for all complex numbers except for non positive integers. It raises as component in various probability distributions, and as such it is applicable in the fields of probability, statistics and statistical physics, as well as in combinatorics [17] [18] [19] [20] [21]. For instance, the well known Stirling formula depends on the factorial function as [22] ( ) The gamma function is extended by analytic continuation to all complex numbers except the non-positive integers (where the function has simple poles), yielding a meromorphic function which we call the gamma function. It has no zeroes and hence, the reciprocal gamma function physics and non-equilibrium have benefited from the study of NL equations [7].
However, it is well known that, in general, nonlinear problems are impossible to solve analytically. The essential difference is that linear systems can be broken down into parts while the nonlinear not. When the parts of a system interfere, either cooperate or compete. The interactions are nonlinear and hence, the principle of superposition fails [26]. Within the realm of physics, the nonlinearity is vital for many areas, for instance, for the superconductivity and Josephson junctions arrays [26].
In this work, we propose the representation of some special functions such as the gamma function in terms of q-exponentials functions of nonadditive statistical mechanics. The plan of this paper is the following. In Section 2, we represent the generalized gamma function expressed in terms of q-exponential functions. In Section 3, we use another representation for the q-exponential in the literature to represent the generalized gamma function. In the last section, Section 4, we present our conclusions and final remarks.

Generalized Gamma Function
The generalized gamma function, defined using the q-exponential distribution, is defined by the integral , when x is positive and ( ] 0,1 x ∈ , we can write and, for 0 x > the integral is limited for 1 x .
By making x fixed and  decreasing the value of integral increases monotonically, i.e.
ix q e presents the properties ix ix q q e e * −     =     . The q-exponential function is a deformation of the standard exponential function using the real parameter q [27] [28] ( ) ( ) The inverse of the q-exponential function is the q-logarithm function,

( )
ln q x , defined as ( ) The formulae in Equation (6) hold true only for ( ] 0,1 q ∈ . In this interval x and q are mathematically independent. The complete definitions can be given in two equivalent ways: one either changes the full expression of the q-deformed functions appropriately and uses the interval ( ] 0,1 q ∈ only as in the equation above or one can consider a unique expression and change the deformation parameter interval as [28] ( ) The parameter q represents the degree of non-additivity. Thus, solving the integral, Equation (3) and using the definition of q-exponential, we obtain the generalized gamma function given as where ( ) , z ∈  . Therefore, using the standard factorial function, we have the recurrence relation obeyed for the generalized gamma function given by Consequently, we can obtain the expression for the q-factorial, [ ] ! q p as where p ∈  . We also obtain the generalized incomplete gamma functions  (16) where we define the generalized exponential integral function In Figure 1 we plot the generalized gamma function ( ) q z Γ for q value 0.9 q = and for standard gamma function ( ) z Γ (that corresponds to 1 q = case. The graphic of ( ) q z Γ changes a lot with q value as showed in Figure 2. This is due to the fact the q-exponential function to represent a family of functions (one for each value of q within interval ( ) 0,1 where the case 1 q = (the standard exponential function, x e ) corresponds to only one function of these class of q-exponential functions. We get that for the particular case 0.9 q = , the q-gamma function exhibits a behavior nearest to standard exponential than q-exponentials defined for other q values. By using the definition of q-exponential, we obtain the generalized incomplete q-gamma function given as  In addition, we also obtain the generalized exponential integral function as ( ) ( ) Finally, we have the generalized logarithm integral function Consequently, we obtain ( ) li q x given as where 1 x < .

Another Representation
Another type of q-exponential is defined using the following series expansion [1] where [ ] ! q n is the q-factorial [29] [ where we use the q-bracket given by  (25) In addition, we have the q-Pochhammer symbol given as [30] [31] ( ) ( )( ) ( ) The graphic of x q y e − = , given by Equation (23), for q value of 0.9 q = is given in Figure 3. The black-solid-line corresponds to series in Equation (23) until 10 n = . The red-dashed-line correspond to sum until 100 n = . So, for 100 n > , the behavior of graphic does not change a lot (for n → ∞ ). The generalized gamma function given by the integral In Figure 4, we plot the generalized gamma function ( ) q z Γ for z ∈  and q value as 0.9 q = . The behavior of the graphic changes with q as in the before case. However, we have here, q ∈  and z ∈  and ing that here, this q-exponential is not that defined in the nonadditive statistical mechanics. Therefore, we obtain the integral Equation (27)   The sum in series given by Equation (23)

Final Remarks
In summary, we have proposed a generalization of the complete and uncomplete gamma functions using q-exponential functions. This subject can be of interest