Abstract
The operator defined as the fractional integral of confluent hypergeometric function was introduced and studied in previously written papers in view of the classical theory of differential subordination. In this paper, the same operator is studied using concepts from the theory of fuzzy differential subordination and superordination. The original theorems contain fuzzy differential subordinations and superordinations for which the fuzzy best dominant and fuzzy best subordinant are given, respectively. Interesting corollaries are obtained for particular choices of the functions acting as fuzzy best dominant and fuzzy best subordinant. A nice sandwich-type theorem is stated combining the results given in two theorems proven in this paper using the two dual theories of fuzzy differential subordination and fuzzy differential superordination.
1. Introduction
The concept of fuzzy differential subordination and its dual, and the concept of fuzzy differential superordination were introduced in the last decade as a result of a trend adapting the notion of fuzzy set to different topics of research. Even if the notion of fuzzy sets did not look promising when it was first introduced by Lotfi A. Zadeh in his paper published in 1965 [1], in the recent years it became part of many branches of science and scientific research. Mathematical sciences also aimed at introducing and using fuzzifications of the already established classical theories in different fields of research. The review paper published in 2017 [2] shows some parts of the history of the fuzzy set notion and how Zadeh’s new concept has revolutionized soft computing and artificial intelligence as well as other fields of science. Another review paper published as part of a Special Issue dedicated to celebrating the centenary of Zadeh’s birth [3] shows other aspects from the development process of fuzzy logic based on the notion of fuzzy sets.
Fuzzy sets theory was connected to geometric function theory in 2011 when the notion of fuzzy subordination was introduced [4] having been inspired by the theory of differential subordination initiated by Miller and Mocanu in 1978 [5] and 1981 [6]. The core of the theory of differential subordination was gradually adapted to fuzzy set notions in the following years [7,8,9] following the main lines of research as they can be found in the monograph published in 2000 [10]. The dual notion of fuzzy differential superordination was introduced in 2017 [11]. Obtaining fuzzy subordination and superordination results involving operators was a topic approached early in the study of fuzzy subordinations [12] and continued to be inspiring for researchers over the following years with the addition of the notion of fuzzy differential superordination as can be seen in [13,14,15,16,17,18,19,20,21] to give only some examples of published papers, although there are a lot more. The topic is still exciting for the imagination of researchers, with many papers being published in the last two years and these are just some examples [22,23,24,25,26].
The study presented in this paper is within a general context of geometric function function theory.
The unit disc of the complex plane is denoted by and the class of analytic functions in U by . For n a positive integer and , denotes the subclass of consisting of functions written in the form , .
A function with beautiful applications in defining operators is the fractional integral of order given as:
Definition 1.
([27]) The fractional integral of order λ () is defined for a function f by
where f is an analytic function in a simply connected region of the z-plane containing the origin, and the multiplicity of is removed by requiring to be real, when
An impressive number of research papers have been published in recent years as a result of studies involving fractional integral and hypergeometric function. Only a few are listed at references [28,29,30,31,32,33,34,35].
The definitions of the notions used in the present investigation are recalled next.
Confluent (or Kummer) hypergeometric function is defined as:
Definition 2.
([10], p. 5) Let m and n be complex numbers with and consider
This function is called confluent (Kummer) hypergeometric function, is analytic in and satisfies Kummer’s differential equation
The operator introduced in [35] using the fractional integral of confluent hypergeometric function is given in the following definition:
Definition 3.
([35]) Let with and We define the fractional integral of confluent hypergeometric function
Remark 1.
([35]) The fractional integral of confluent hypergeometric function can be written
after a simple calculation. Evidently
For the concept of fuzzy differential subordination to be used, the following notions are necessary:
Definition 4.
([36]) A pair , where and is called fuzzy subset of X. The set A is called the support of the fuzzy set and is called the membership function of the fuzzy set . One can also denote .
Remark 2.
([36]) If , then
For a fuzzy subset, the real number 0 represents the smallest membership degree of a certain to A and the real number 1 represents the biggest membership degree of a certain to A.
The empty set is characterized by , , and the total set X is characterized by , .
Definition 5.
([4]) Let , be a fixed point and let the functions . The function f is said to be fuzzy subordinate to g and write or , if they satisfy the conditions:
(1)
(2) ,
Definition 6.
([8], Definition 2.2) Let and h univalent in U, with . If p is analytic in U, with and satisfies the (second-order) fuzzy differential subordination
then p is called a fuzzy solution of the fuzzy differential subordination. The univalent function q is called a fuzzy dominant of the fuzzy solutions of the fuzzy differential subordination, or more simply a fuzzy dominant, if , , for all p satisfying (4). A fuzzy dominant that satisfies , , for all fuzzy dominants q of (4) is said to be the fuzzy best dominant of (4).
Definition 7.
([11]) Let and let h be analytic in U. If p and are univalent in U and satisfy the (second-order) fuzzy differential superordination
i.e.,
then p is called a fuzzy solution of the fuzzy differential superordination. An analytic function q is called fuzzy subordinant of the fuzzy differential superordination, or more simply a fuzzy subordination if
for all p satisfying (5). A univalent fuzzy subordination that satisfies for all fuzzy subordinate q of (5) is said to be the fuzzy best subordinate of (5). Please note that the fuzzy best subordinant is unique up to a relation of U.
The purpose of this paper is to obtain several fuzzy differential subordination and superordination results, by using the following known results.
Definition 8.
([8]) Denote by Q the set of all functions f that are analytic and injective on , where and are such that for .
Lemma 1.
([8]) Let the function q be univalent in the unit disc U and θ and ϕ be analytic in a domain D containing with when . Set and . Suppose that
1. Q is starlike univalent in U and
2. for .
If p is analytic with , and
then
and q is the fuzzy best dominant.
Lemma 2.
([11]) Let the function q be convex univalent in the open unit disc U and ν and ϕ be analytic in a domain D containing . Suppose that
1. for and
2. is starlike univalent in U.
If , with and is univalent in U and
then
and q is the fuzzy best subordinant.
The symmetry properties of the functions used in defining an equation or inequality could be studied to determine solutions with particular properties. Regarding the fuzzy differential subordinations, which are some inequalities, the study of special functions, given their symmetry properties, could provide interesting results. Studies on the symmetry properties for different types of functions associated with the concept of quantum computing could also be investigated in a future paper.
2. Main Results
The first fuzzy subordination result obtained using the operator given by (2) is the following theorem:
Theorem 1.
Let the function q be analytic and univalent in U such that and , for all , where m, with and Suppose that is univalent starlike in U. Let
for , , and
If the following fuzzy differential subordination is satisfied by
for , then
and the fuzzy best dominant is the function q.
Proof.
Define , , . Differentiating it we obtain and
Considering and , it is evident that is analytic in , is analytic in and that
By setting and , we deduce that is univalent starlike in U.
Differentiating we obtain and
We deduce that .
Using (10), we obtain
Using (8), we have
By an application of Lemma 1, we obtain , i.e.,
, and q is the fuzzy best dominant. □
Corollary 1.
Proof.
For , Theorem 1 give the corollary. □
Corollary 2.
Proof.
Theorem 1 gives Corollary for , □
Theorem 2.
Let q be analytic and univalent in U such that and be univalent starlike in U. Assume that
If and is univalent in U, where is as defined in (7) and m, with , then
implies
and the fuzzy best subordinant is the function q.
Proof.
Define , , .
Considering and it is evident that is analytic in , is analytic in and that ,
In this conditions , which imply , for
We obtain
Applying Lemma 2, we obtain
and q is the fuzzy best subordinant. □
Corollary 3.
Proof.
For , in Theorem 2 we obtain the corollary. □
Corollary 4.
Proof.
For , in Theorem 2 we obtain the corollary. □
Theorems 1 and 2 combined give the following sandwich theorem.
Theorem 3.
For , , where , we obtain the following corollary.
Corollary 5.
For , , where , we obtain the following corollary.
Corollary 6.
We also have
Theorem 4.
Let , where m, with and let the function be convex and univalent in U such that , . Assume that
for , β, and
If q satisfies the following fuzzy differential subordination
for, β then
and the fuzzy best dominant is the function q.
Proof.
Define , , . The function p is analytic in U and
Differentiating it we obtain and
Let and , it is evident that is analytic in , is analytic in and that
Considering and we deduce that is univalent starlike in
We obtain and (18) give the following relation
which imply
By an application of Lemma 1 we obtain , i.e.,
, and q is the fuzzy best dominant. □
Corollary 7.
Proof.
Consider in Theorem 4 , □
Corollary 8.
Proof.
Using Theorem 4 for , , we obtain the corollary. □
Theorem 5.
Let q be convex and univalent in U such that , where m, with . Suppose that
If and is univalent in U, where is as defined in (15), then
implies
and the best fuzzy subordinant is the function q.
Proof.
Define , , . The function p is analytic in U and
Consider and it is evident that is analytic in , is analytic in and that ,
In these conditions , which imply , for
Relation (20) can be written
Applying Lemma 2, we obtain
and q is the fuzzy best subordinant. □
Corollary 9.
Proof.
For , in Theorem 5 we obtain the corollary. □
Corollary 10.
Proof.
Theorem 5 for , gives the corollary. □
Theorems 4 and 5 combined give the following sandwich theorem.
Theorem 6.
For , , where , we obtain the following corollary.
Corollary 11.
Let m, with and Suppose that (14) and (19) hold for and , respectively. If and
for , , where is introduced in (15), then
hence and are the fuzzy best subordinant and the fuzzy best dominant, respectively.
For , , where , we obtain the following corollary.
3. Discussion
The interesting operator presented in Definition 3 was previously defined and studied related to several aspects of differential subordination theory in [35] as the fractional integral of confluent hypergeometric function. In this paper, the study of the operator is continued using the recently introduced notions of fuzzy differential subordination and fuzzy differential superordination as a result of the preoccupation with adapting the classical notions of differential subordination and superordination to fuzzy sets theory. Fuzzy differential subordinations and fuzzy differential superordinations are presented in the original theorems giving their best fuzzy dominant and best fuzzy subordinant, respectively. Using particular functions, interesting corollaries are presented that could inspire future studies related to the univalence of the operator. A sandwich-type result is obtained in the last theorem combining the results proved using the two dual theories of fuzzy differential subordination and fuzzy differential superordination. Since the operator gives good results in studies done with both theories, it could be used for introducing new fuzzy classes of analytic functions and performing studies on those classes using both theories. Symmetry properties, coefficient estimates, distortion theorems, closure theorems, neighborhoods and the radii of starlikeness, convexity or close-to-convexity can be studied.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The author declares no conflict of interest.
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