A New Representation of the Generalized Krätzel Function

: The confluence of distributions (generalized functions) with integral transforms has become a remarkably powerful tool to address important unsolved problems. The purpose of the present study is to investigate a distributional representation of the generalized Krätzel function. Hence, a new definition of these functions is formulated over a particular set of test functions. This is validated using the classical Fourier transform. The results lead to a novel extension of Krätzel functions by introducing distributions in terms of the delta function. A new version of the generalized Krätzel integral transform emerges as a natural consequence of this research. The relationship between the Krätzel function and the 𝐻 - function is also explored to study new identities.

where ℝ; ℂ, and ℜ denote the set of real numbers, complex numbers, and the real part of complex numbers, respectively.For  = 1; = , (1) can be written in terms of the McDonald function, denoted as  (), in accordance with [2] (Section 7.2.2), The Krätzel integral transform, denoted by K and defined by [3] K (f(x)) = Z (xt)() dt; (x > 0;  1), contains the integral operators of Meijer and Laplace when ρ = 1 and ρ = 1;  = ±1/2, respectively.The Krätzel integral transform has been discussed in the literature by considering different aspects.For example, the Krätzel integral on a certain space of distributions was discussed in [4] by Rao and Debnath.Kilbas and Shlapakov [5] discussed these types of functions using fractional operators.
Mathematical aspects of the generalized Krätzel function and integral operators are discussed in recent works, e.g., [1,10,16,17].A new version of the generalized Krätzel-integral operators is discussed in [28] using the elements of distribution theory.Such functions are also considered in [29] using the Frćhet space of Boehmians.To the best of the author's knowledge, the Krätzel function has not been studied in the literature as a distribution in terms of the delta function.Motivated by the above discussion, the present study is focused on investigating a new representation of the generalized Krätzel function.By doing so, the domain of the generalized Krätzel function (7) can be extended from complex numbers to the space of complex test functions.Obviously, similar results will be valid for the -function, considering the relationships (5) and (6).
The plan for this paper is as follows: essential preliminaries related to test function spaces are given in Section 1.1.The organization of the remaining parts is given as follows: Section 2.1 includes a new series representation of the generalized Krätzel function.Section 2.2 consists of the criteria regarding the existence, as well as uses, of the novel series.Validation of these outcomes is given in Section 2.3.For completeness, distributional properties are stated in Section 2.4 in the form of a theorem.Some examples are discussed in Section 2.5.Section 3 highlights and concludes the present as well as future work.

Distributions and Test Functions
Corresponding to each space of test functions, there is a dual space known as the space of distributions (or generalized functions).Consideration of such functions is vital because of their important property of representing singular functions.In this way, different calculus operations can be applied for such functions, as in the case of classical functions.The notations used in this subsection are standard and adopted from [30,31].However, the notation ℘ is used for test functions throughout this manuscript.For the requirements of this investigation, the delta function, which is a commonly used singular function, needs to be mentioned.For any test function ℘(ω) ∈ , the delta function is defined by and , where  ≠ 0.
An ample discussion and explanation of distributions (or generalized functions) was presented in five different volumes by Gelfand and Shilov [30].Functions with compact support and that are infinitely differentiable, as well as quickly decaying, are commonly used as test functions.The spaces containing such functions are denoted by  and , respectively.Obviously, the corresponding duals are the spaces  and  .A noteworthy fact about such spaces is that  and ′ do not hold the closeness property with respect to the Fourier transform, but  and  do.In this way, it is remarkable that the elements of ′ have Fourier transforms that form distributions for the entire function space  whose Fourier transforms belong to  [31].Further to this explanation, it is notable that as the entire function is nonzero for a particular range ω < s < ω , but zero otherwise, the following inclusion of the abovementioned spaces holds: More specifically, space Z comprises the entire and analytic functions sustaining the subsequent criteria Here and in the following, the numbers η and C are dependent on ℘, and ℕ denotes the set of natural numbers.The following identities ( [30], Volume 1, p. 169, Equation (8)), ( [31], (p.159), Equation ( 4)), see also ([32], p. 201, Equation (9)) will be used in the proof of our main result, where ℱ denotes the Fourier transform.
Throughout this paper, except if mentioned specifically, the conditions for the involved parameters are taken as stated in Section 1.

New Representation of Generalized Krätzel Function
In this section, the results are computed as a series of complex delta functions, and discussion about its rigorous use as a generalized function over a space of test functions is provided in the next section.
Theorem 1.The generalized Krätzel function has the following representation in terms of complex delta functions.
Proof.A replacement of t = e and s = ν + iθ in the integral representation of the generalized Krätzel function as given in ( 6) yields the following: Then, the involved exponential function can be represented as Next, combining expressions ( 19) and ( 20) leads to the following: The actions of summation and integration are exchangeable because the involved integral is uniformly convergent.An application of identity (14) produces the following: e e ( ) dx = ℱ e ( ) ;  = 2πδ -i( + σn − ρr) .
Proof.Equation ( 24) can be obtained by considering the following combination of Equation ( 16) and Equation ( 23): Next, making use of this relation in (18) leads to the required form.□ Corollary 2. The generalized Krätzel function has the following series form.
Proof.Equation ( 23) can be rewritten as follows: e e ( ) d = ℱ e ( ) ;  = 2πδ -i( + σn − ρr) Next, making use of this relation in (18) leads to the required form.□ Corollary 3. The generalized Krätzel function has the following series form.
Proof.A suitable combination of Equations ( 16) and ( 26) gives which is a key to the required form.□ Remark 1.The following results which represent the basic Krätzel function  () (1) are deduced from the above corollaries, by letting  =  = 1 and then replacing    ℎ   , respectively.
Now, letting  = 0 in (30)(31)(32)(33), yields the following It is notable that the above series representations are given in the form of delta functions.Such functions make sense only if defined as distributions (generalized functions) over a space of test functions, as discussed in Section 2.1.Consequently, it is essential to choose a suitable function for which this representation holds true.As an illustration, one can let  = 0 in identity (26) and multiply it by in statement (37), the following can be obtained: which is false or inconsistent.At the same time, a consideration of the following special product, gives the following: Because , ; ( ) = 0 as a result of the poles of the special case of the Krätzel function, hence Therefore, one needs to be very careful in making a choice of function to analyze the behavior of the new series representation, which is discussed in the next subsection.

Analysis of the Behavior of the New Representation
The generalized Krätzel Hence, the generalized Krätzel function is a generalized function (distribution) over test function space  because of the convergence of its new form (26), explored below: where 〈δ(s + σn − ρr), ℘(s)〉 = ℘(ρr − σn).
It can be seen that ∀℘ϵΖ; ℘(ρr − σn) are functions of slow growth, and exists and is rapidly decreasing.Consequently, for ∀℘(); 〈Z , ; (s), ℘(s)〉 as a product of the functions of slow growth and rapid decay is convergent.Similarly, other special and supplementary cases given in ( 30)-( 36) are also meaningful in the sense of distributions.This fact is also obvious by making use of the basic Abel theorem.□ Hence, the behavior of this new series is discussed for the functions of slow growth, but it is worth mentioning that this new series may converge for a larger class of functions.Consequently, new integrals of products of different functions in view of this new form of Z , ; (s) are achieved here.
Consider a basic illustration, i.e., ℘() =  ( > 0;  ∈ ℂ).Therefore, by considering (26) and the shifting property of the delta function, the inner product 〈Z , ; (s), ℘()〉 yields The special case for the basic Krätzel function (1) can be obtained by taking  =  = 1; σ = ;  = x in (49) as follows: Remark 2. Sequences as well as sums of delta function have significance in various engineering problems, for example, they are used as an electromotive force in electrical engineering.Thus, it is notable that if one multiplies {( +  − )} , with 2 (− − ), it will produce the distributional representation of the generalized Krätzel function.Furthermore, letting  = 1;  = 0, related outcomes hold for special cases as well.This discussion illustrates the possibility of further important identities.For instance, if one considers  =  in (49), then it can be used to compute the Laplace transform of  , ; ().Therefore, it becomes important to check the validation of such results, as discussed in the following section.

Validation of the Results Obtained by the New Representation
Considering  =  as well as  =  +  in (6), the generalized Krätzel function can be expressed as a Fourier transform, given below, The Fourier transform of an arbitrary function () satisfies the following: Hence, applying this on identities (51)-(52) will lead to the following: which is also obtainable as a specific case of our main result (49) by substituting  = ;  =  + .Furthermore, a substitution  = 0 in (55) leads to the following, which is also attainable as a precise case of our main result (49).Hence, it is clear that the new representation of the generalized Krätzel function produces novel identities, which are unattainable by known techniques, but specific forms of new identities are trustworthy with known methods.The special case for the basic Krätzel function (1) can be obtained by taking a= ρ = 1 and then replacing σ and b with ρ and x, respectively, in (55-56) as follows: Remark 3 It is notable that the new obtained integrals contribute only the sum over residues as a result of the existing poles or singular points in the integrand, which is consistent with the basic result of complex analysis.
Next, an application of Parseval's identity of the Fourier transform in (54) leads to the following new results regarding the generalized Krätzel function, Z , ; (ν + iθ): A substitution of a= ρ = 1 and then replacement of σ and b with ρ and x, respectively, in (59) leads to the following identity for the basic Krätzel function (1): and for ν = μ, one can obtain . (61)

Further Properties of the Generalized Krätzel Function as a Distribution
For completeness, a list of basic properties are stated and proved here in the sense of distributions by following the methodology of [31]  where  , ,   are arbitrary real or complex constants.
Proof.It can be verified that the methodology to prove (i-vi) can be achieved using the properties of the delta function.Therefore, begin by proving (vii): Next, the results (xi-xii) are proved as follows: where the transpose of ℘ is denoted by ℘ .Proof of the results (xiii)-(xiv) are as follows: where the above lines also follow by considering Parseval's formula of the Fourier transform.The proof of (xv) is as follows:  () ∈ ′.

New Version of the Krätzel Integral Transform: A Case Study of New Representation
As a case study of new representation, a new version of the generalized Krätzel integral transform is introduced and defined over  as follows: ℂ ; ∀℘(s)ϵ.
By letting a= ρ = 1 and then replacing σ and b with ρ and x, respectively, in (62), one can obtain the following new version of the basic Krätzel integral transform (3): As a singular generalized function, the delta function is a linear mapping that maps every function to its value at zero.Because of this property, this new representation has the power to calculate integrals that cannot be computed in the usual sense.For example, the Riemann zeta function (see, for example, [34][35][36][37][38] and [39] Equation ( 26)) is considered here: For  = 0, ρ = 1 (65) yields the following: Because the zeta function vanishes at even negative integers (see, for example, [40] p. 330), this sum can further be evaluated using the following zeta function relation with Bernoulli numbers, (see, for example, [40,41]), where the Bernoulli numbers  are defined by their relation with the Bernoulli polynomial and the classical Bernoulli polynomials  (x) of degree  in  are defined by the following generating functions [40][41][42]: In view of the above details, the following approximation can be obtained: For further related studies about such computations, the interested reader is referred to [40][41][42][43][44][45].
Certain special cases of the above results may also be of interest.For example, letting  = 0 in ( 73) and (75) produces the following:

Summary and Forthcoming Directions
On the one hand, generalization of a function by extending its domain of definition has remained a novel and non-trivial problem.On the other hand, the Krätzel function and its generalizations have fundamental applications in various disciplines.In light of the details presented in Section 1, this function is widely studied as a function of real variables, and its investigation with respect to complex variables only became possible in 2006 following Kilbas et al. [8].In this article, it is generalized from complex numbers to complex functions.Hence, one can continue the Krätzel function beyond its original domain of definition in terms of the delta function.Consequently, the problem of physically interpreting its values does not arise, as is the case for classical representation.Similarly, the use of differentiation and Fourier and Laplace transforms has become a continuous operation for the Krätzel function in view of this generalized representation.While the Laplace transform of this function is known in the literature with respect to the variable  = , it is now obtained with respect to variable  in this study.This is because the identities valid for delta functions can now be successfully applied to the Krätzel function using distributional representation.
The existence of a new version of the generalized Krätzel integral transform is a natural consequence of this research.The Krätzel integral transform is known only over the domain of real numbers with respect to the variable .In this study, a new version of the Krätzel integral transform is established for variable  .It provides a computational technique to evaluate the integrals of products of the Krätzel function with other functions.Using the generalized representation, integrals of products of functions are converted into a sum over natural numbers.The relationship of the Krätzel function with the -function sheds fresh light on new explorations of this important and newly emerging function.The method of computing the new identities involves the desired simplicity.The success and beauty of this new version is in the fact that the sum over the coefficients of the distributional representation is rapidly decreasing.This discussion provides insights for further, new results.For example, the generalized Krätzel function and its various special cases satisfy the differential equation of fractional order [10,11].Hence, the solution of these fractional differential equations can be discussed over the space of complex test functions in future research.These facts may be significant for applying the function beyond the problems it was originally defined to address.

1 .
Therefore, singular points of delta function at  = − are canceled with the zeros of  , ; () in this expression, i.e., Hence, making use of