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Fractional Integral of the Conﬂuent Hypergeometric Function Related to Fuzzy Differential Subordination Theory

: The fuzzy differential subordination concept was introduced in 2011, generalizing the concept of differential subordination following a recent trend of adapting fuzzy sets theory to other already-established theories. A proliﬁc tool in obtaining new results related to operators is the fractional integral applied to different functions. The fractional integral of the conﬂuent hypergeometric function was previously investigated using means of the classical theory of subordination. In this paper, we give new applications of this function using the theory of fuzzy differential subordination. Fuzzy differential subordinations are established and their best dominants are also provided. Corollaries are written using particular functions, in which the conditions for the univalence of the fractional integral of the conﬂuent hypergeometric function are given. An example is constructed as a speciﬁc application of the results obtained in this paper.


Introduction
Fuzzy sets theory has its origins in the paper published by Lotfi A. Zadeh in 1965 [1]. At that time, the paper raised many discussions and was regarded as controversial, but it is nowadays considered the foundation of fuzzy logic theory and has reached over 100,000 citations. The concept of fuzzy sets has applications in many domains of the modern technological world. The importance of the fuzzy set notion and certain steps in the evolution of the concept are nicely highlighted in certain review papers [2,3], and the development of different areas of research due to this concept is now obvious.
The basis of fuzzy differential subordination theory was set in 2011 with the use of fuzzy set notion in introducing a generalization of the classical concept of subordination familiar to geometric function theory, called fuzzy subordination [4]. Fuzzy subordination was then extended to fuzzy differential subordination in 2012 [5]. It is seen as a generalization of the differential subordination concept introduced by S.S. Miller and P.T. Mocanu [6,7], developed by many researchers in the following years and synthesized in [8]. The theory of fuzzy differential subordination developed by providing means for obtaining the dominants and best dominants of the fuzzy differential subordinations [9] and by adding operators to the research [10][11][12], continually following the general theory of differential subordination established in geometric function theory. The dual concept of fuzzy differential superordination was also introduced in 2017 [13] and investigations relating the two concepts continued to provide new results [14,15].
The study of fuzzy differential subordinations continues and interesting results were recently published concerning a Mittag-Leffler-type Borel distribution [16], connecting fuzzy differential subordination to different types of operators [17,18] or for obtaining univalence criteria [19].
Fractional calculus had a powerful impact in recent research, having many applications in different branches of science and engineering. Its importance has been nicely highlighted in a recent review paper [20]. A fractional integral is an important tool for obtaining new, interesting results. Recent papers present new integral inequalities obtained by applying fractional integrals and considering convexity properties [21,22], new extensions involving fractional integrals and the Mittag-Leffler Confluent Hypergeometric Function [23] or tying it to other operators [24,25].
The tremendous development of fractional calculus during the last years also made an impression on the study regarding fuzzy differential subordination theory. New fuzzy differential subordinations were obtained using the Atangana-Baleanu fractional integral [26], the fractional integral of the confluent hypergeometric function [27] and the fractional integral of the Gaussian hypergeometric function [28].
The research presented in this paper involves the fractional integral of the confluent hypergeometric function defined in [29] and is investigated there using the means of classical theories of differential subordination and superordination. Considering the previous applications of this function in obtaining fuzzy differential subordinations and superordinations [30], we continue the study and new fuzzy differential subordinations are obtained in this paper. The best fuzzy dominant is determined for each of them in the two theorems proved in the Main Results part of the paper. As a novelty, the conditions for the univalence of the fractional integral of the confluent hypergeometric function are stated using fuzzy differential subordinations. The first univalence result designed as the corollary of the first original theorem of this paper is obtained by using a certain function as the fuzzy best dominant. Another condition for the univalence of the fractional integral of the confluent hypergeometric function is provided in the second original theorem proved in this paper. An example is constructed in order to illustrate some applications of the newly proved theoretical results.

Preliminary Notions and Results
Certain notions specific to geometric function theory are implemented in this study. Considering U = {z ∈ C : |z| < 1} as the unit disc of the complex plane, the closed unit disc is denoted by U = {z ∈ C : |z| ≤ 1} and ∂U = {z ∈ C : |z| = 1}.
Let H(U) denote the class of holomorphic functions in the unit disc. An important subclass of H(U) is defined as A n = f ∈ H(U) : f (z) = z + a n+1 z n+1 + . . . , z ∈ U , with A 1 = A.
For a ∈ C, n ∈ N * , the subclass of the functions f ∈ H(U) denoted by H[a, n] consists of functions which can be written as f (z) = a + a n z n + a n+1 z n+1 + . . . , z ∈ U.
Let S = f ∈ A : f (z) = z + a 2 z 2 + . . . , f (0) = 0, f (0) = 1, z ∈ U be the class of the univalent functions in the unit disc and let denote the class of the convex functions in the unit disc.
The following notions give the general context of fuzzy differential subordination theory established in [4].
is called the fuzzy subset of X. The set A is called the support of the fuzzy set (A, F A ) and F A is called the membership function of the fuzzy set (A, F A ). One can also denote A = supp(A, F A ). Let Additionally, let Definition 2 ([4,5]). Let D ⊂ C and let z 0 ∈ D be a fixed point and let the functions f , g be holomorphic in U. The function f is said to be a fuzzy subordinate to function g and write f ≺ F g or f (z) ≺ F g(z) if there exists a function F : C → [0, 1] such that:

Remark 1.
(a)   The next notions are tools of the classical theory of differential subordination.

Definition 3 ([5]
). Let ψ : C 3 × U → C, a ∈ C and let h be univalent in U, with a ∈ C and ψ(a, 0, 0; 0) = h(0) = a. Let q be univalent in U with q(0) = a and let p be analytic in U with p(0) = a. Function ψ p(z), zp (z), z 2 p (z); z is also analytic in U and let F : C → [0, 1] . If p satisfies the (second-order) fuzzy differential subordination then p is called the fuzzy solution of the fuzzy differential subordination. The univalent function q is called the fuzzy dominant of the fuzzy solutions of the fuzzy differential subordination, or more simply a fuzzy dominant, if p(z) ≺ F q(z) or F p(U) (p(z)) ≤ F q(U) (q(z)), z ∈ U, for all p satisfying (1). A fuzzy dominant q that satisfies q(z) ≺ F q(z) or F p(U) ( q(z)) ≤ F q(U) (q(z)), z ∈ U for all fuzzy dominants q of (1) is said to be fuzzy best dominant of (1).
The next notions are tools of the classical theory of differential subordination.

Definition 4 ([3]).
We denote by Q the set of functions q that are analytic and injective on U\E(q), where and are such that q (ζ) = 0 for ζ ∈ ∂U\E(q).

Definition 5 ([3]).
Let Ω be a set in C, q ∈ Q, and let n be a positive integer. The class of admissible functions Ψ n [Ω, q] consists of functions ψ : C 3 × U → C that satisfy the admissibility condition ψ(r, s, t; z) = 0, whenever r = q(ζ), s = mζq (ζ), Re t s The set Ψ n [Ω, q] is called the class of admissible functions and condition (2) is called the admissibility condition.
One of the first papers where the confluent hypergeometric function was used for research in geometric function theory appeared in 1990 [31] and involved univalence conditions for this function. The confluent hypergeometric function is defined as:  φ(a, c; z This function is called the confluent (Kummer) hypergeometric function, is analytic in C and satisfies Kummer's differential equation: Euler's Gamma function is defined for Re z > 0 as: The gamma function satisfies: Γ(z + 1) = z·Γ(z), Γ(1) = 1, Γ(n + 1) = n!·Γ(1) = n!.
The fractional integral of the confluent hypergeometric function is defined in [29] as follows: . Let a and c be complex numbers with c = 0, −1, −2, . . . and let µ > 1. We define the fractional integral of the confluent hypergeometric function For µ = 1 we can write: We obtain, In order to prove the original results contained in the next section, we need the following already-established results.

Lemma 1 ([8])
. Let q ∈ Q with q(0) = a and let p(z) = a + a n z n + . . . be analytic in U with p(z) = a and n ≥ 1. If p is not subordinate to q, then there exists points z 0 = r 0 e iθ 0 ∈ U and ζ 0 ∈ ∂U\E(q) and an m ≥ n ≥ 1 for which p(U r 0 ) ⊂ q(U) and: q (ζ 0 ) + 1 .

Main Results
The first theorem investigates a new fuzzy differential subordination involving the fractional integral of the confluent hypergeometric function. The best dominant of the subordiantion is found and this result will be used for stating a condition for the univalence of the fractional integral of the confluent hypergeometric function in the corollary which follows the theorem.

Theorem 1. Let q be a univalent solution of the equation
Function h is convex in U. Let G : C → [0, 1] be given by: Let the confluent hypergeometric function φ(a, c; z) be given by (6) and the fractional integral of the confluent hypergeometric function A −µ z φ(a, c; z) be given by (8). If the following fuzzy differential subordination is satisfied written equivalently as then the fuzzy differential subordination implies written equivalently as This function q is the best fuzzy dominant.

Proof.
Let Using the expression of the fractional integral of the confluent hypergeometric function given by (8), we can write: hence, By differentiating relation (13), after some simple calculations, we obtain: (a, c; z) , z ∈ U.
For z = z 0 , relation (19) is written as: It is now time to use Lemma 1 and the admissibility condition (3). Assume that the functions p, q, h satisfy the conditions required by Lemma 1 in the closed unit disc U. If this is not true, the functions q and h can be replaced by q ρ (z) = q(ρz) and h ρ (z) = h(ρz), respectively, which are functions that have the desired properties.
Using (22) in (21), we obtain: Relation (23) contradicts the assumption made when writing relation (20) and we conclude that the assumption is false, hence p(z)≺ F q(z).
Using relation (8) in (24), we have: Since function q is a univalent solution of Equation (10), we get that function q is the best fuzzy dominant.
The following corollary can be obtained by using the convex function q(z) = z 1+z as the best fuzzy dominant in Theorem 1. As a result, a condition for the univalence of the fractional integral of the confluent hypergeometric function is stated.
be a univalent solution of the equation Function h is convex in U. Let G : C → [0, 1] be given by: Let the confluent hypergeometric function φ(a, c; z) be given by (6) and the fractional integral of the confluent hypergeometric function A −µ z φ(a, c; z) be given by (8). If the following fuzzy differential subordination is satisfied written equivalently as We now prove that function q is univalent in U. For that we calculate: since 0 < ρ < 1.
Relation (29) states that function h is a convex function in U.
We also prove that function q(z) = z 1−z is convex in U. We calculate: Using relation (29), we get that Re zq (z) q (z) Hence, function q is a convex function in U.
Let µ > 0, a = −2, c = 1 + i; then, we have the fractional integral of the confluent hypergeometric function: Using Theorem 1, we write: Let q(z) = 1 1+z be the univalent solution of the equation Function h is convex in U. Let G : C → [0, 1] be given by:

Conclusions
The investigation presented in this paper continues the line of research which has, as its focus, the fractional integral of the confluent hypergeometric function defined in [29]. The studies connecting this function to fuzzy differential subordination and superordination theories [27,30] are enriched in this paper by providing means to obtain the conditions for the univalence of this function. After providing the best fuzzy dominant for a certain fuzzy differential subordination in Theorem 1, in Corollary 1 this theoretical result is applied by using a particular function as the best fuzzy dominant for finding a condition for the univalence of the fractional integral of the confluent hypergeometric function. In Theorem 2, another condition for the univalence of this function is deduced. The example presented at the end of the study shows how fuzzy differential subordinations are obtained using the fractional integral of the confluent hypergeometric function.
In future studies involving the results presented in this paper, researchers could use the properties of the univalence of this function in order to define new subclasses of univalent functions. Other conditions for the univalence of this function, maybe even convexity properties which have many applications, could be investigated following the ideas presented here using the theory of fuzzy differential superordination and the fractional integral of the confluent hypergeometric function.