1. Introduction
In the theory of differential equations, there are often examples of differential inequalities which can be used for obtaining bounds on a function using its derivatives of a certain order. The ideas regarding differential inequalities for real functions were extended to complex functions and a new theory emerged called differential subordination theory. This theory was introduced by S.S. Miller and P.T. Mocanu in a paper published in 1978 [
1] and another one published in 1981 [
2]. This theory developed nicely during the next years and its main features can be found in the monograph published in 2000 [
3] by the authors who have introduced it.
The present paper deals with a special form of differential subordination named fuzzy differential subordination. This concept was introduced in 2012 [
4] after the notion of subordination in fuzzy sets theory was defined in 2011 [
5]. This merge between fuzzy sets theory and geometric function theory was inspired by the constant concerns of mathematicians to embed the notion of fuzzy set into already established mathematical theories. The notion of fuzzy set was introduced by Lotfi A. Zadeh in 1965 [
6] and had an extraordinary evolution being used nowadays in many branches of science and technique. Some applications of the notion in fuzzy linear fractional programming can be seen in [
7]. Data analysis of the quadcopter control and movement involving PID (Proportional Integral Derivative) and Fuzzy-PID control is carried out in [
8] and an evolution of the concept of fuzzy normed linear spaces is presented in [
9]. Some steps in the development of the concept of fuzzy set can be followed in the nice review papers [
10,
11].
The word “fuzzy” associated to the concept of differential subordination is related to the definition of the fuzzy differential subordination where the codomain of the involved function is the interval . The relevance of the results from the perspective of the fuzzy set theory is made clear by the example contained in the paper but since the attempt to introduce the new theory of fuzzy differential subordination is rather new, so far, no applications in other fields of research or science have emerged. Hopefully, applications of this concept will appear after further investigations.
The theory of fuzzy differential subordination follows the general theory of differential subordination and develops by adapting most of the ideas of the classical theory for obtaining new results. The first paper concerned introducing the notions of fuzzy dominant and fuzzy best dominant [
12] and then, the special form of Briot-Bouquet fuzzy differential subordination was considered in studies [
13]. Different types of operators were added to the researches [
14,
15,
16] and the dual concept of fuzzy differential superordination was also introduced in 2017 [
17] following the classical theory of differential superordination introduced by S.S. Miller and P.T. Mocanu in 2003 [
18].
In the last few years, the development of both theories of fuzzy differential subordination and superordination continued. Nice results were obtained using different types of operators such as an integral operator [
19], a linear operator [
20], a differential operator [
21,
22], or a Mittag-Leffler-type Borel distribution series [
23].
A prolific study is conducted involving fractional calculus in fuzzy differential subordination and superordination. Interesting results were published using the Atangana–Baleanu fractional integral of Bessel functions [
24] and the fractional integral of confluent hypergeometric function [
25,
26].
Keeping those studies in mind, in this paper the fractional integral is applied to Gaussian hypergeometric function for obtaining a new operator used in the study regarding fuzzy differential subordinations. It is worth mentioning that Gaussian hypergeometric function is used for studies in geometric function theory since hypergeometric functions were connected to the theory of univalent functions by L. de Branges in 1985 when he used the generalized hypergeometric function in the proof of Bieberbach’s conjecture [
27]. Univalence conditions were obtained for Gaussian hypergeometric function in early studies [
28] and in very recent ones [
29]. In recent studies, differential inequalities were used and geometric properties were obtained by proving inclusion relations between subsets of the complex plane. Such an approach can also be seen in recent publications [
30,
31] and will be taken regarding the original results contained in this paper too. The subordination chains and differential inequalities were used for proving that Gaussian hypergeometric function belongs to Carathéodory class of analytic functions in [
32].
2. Preliminaries
The notations, definitions and previously proved results used during the study are presented in this section.
Considering
the unit disc of the complex plane,
denotes the class of holomorphic functions in
and the following subclasses are well-known:
with
, and
with
, when
and
a natural number different from 0.
Denote by the class of univalent functions
The class of starlike functions of order
is defined as:
when
and for
the class of starlike functions is obtained, denoted by
.
The class of convex functions of order
is defined as:
when
and for
the class of convex functions is obtained, denoted by
.
Carathéodory class of analytic functions is defined as:
Definition 1 ([33] (p. 81)). A functionis close-to-convex if there exists a functionconvex insuch that: Remark 1. (a) In particular, ifwe say that functionis close-to-convex with respect to the identical function
(b) Based on Alexander’s duality theorem we have that functionis convex if and only if functionHence, we get that functionis close-to-convex if and only ifsuch that Definition 2 ([3]). Letandbe members of. The functionis said to be subordinate to, writtenor, if there exists a function, analytic in, with conditionsandand such thatIfis univalent, thenif and only ifand
Definition 3 ([3]). A functionis a subordination chain ifis analytic and univalent infor allis continuously differentiable onfor allandwhen
Lemma 1 ([3]). The functionwithforandis a subordination chain if Definition 4 ([3]). We denote bythe set of functionsthat are analytic and injective onwhereand are such thatfor Lemma 2 ([3]). Letwithand letbe analytic inwithandIfis not subordinate to, then there exist pointsandand anfor whichand
- (i).
- (ii).
- (iii).
The definition of Gaussian hypergeometric function is reminded in [
3] and presented below:
Definition 5 ([3]). Let a, b, c,The functionis called Gaussian hypergeometric function, where And
The fractional integral of order
used by Owa [
34] and Owa and Srivastava [
35] is defined as:
Definition 6 ([34,35]). The fractional integral of orderis defined for a functionby the following expression:whereis an analytic function in a simply-connected region of the z-plane containing the origin and the multiplicity ofis removed by requiringto be real when Definition 7 ([4]). A pair, whereandis called fuzzy subset of. The setis called the support of the fuzzy setandis called the membership function of the fuzzy setOne can also denote.
Definition 8 ([4,5]). Letand letbe a fixed point and let the functionsbe holomorphic inThe functionis said to be fuzzy subordinate to functionand writeorif there exists a functionsuch that:
1.
2.
Remark 2. Such a functioncan be considered: Condition 2 from Definition 9 is then written as:and it is equivalent to If and is univalent in then conditions 1 and 2 become where
Definition 9. Ref. [
5]
Let and let be univalent in with Let be univalent in with and let be analytic in with Function is also analytic in and let . If satisfies the (second-order) fuzzy differential subordinationthen is called a fuzzy solution of the fuzzy differential subordination. The univalent function is called a fuzzy dominant of the fuzzy solutions of the fuzzy differential subordination, or more simply a fuzzy dominant, if for all satisfying (3). A fuzzy dominant that satisfies for all fuzzy dominants of (3) is said to be fuzzy best dominant of (3). Using the known results presented in this section, new fuzzy differential subordinations are studied in the next section. First, the fractional integral of Gaussian hypergeometric function is defined and certain useful properties are stated. Fuzzy differential subordinations involving fractional integral of Gaussian hypergeometric function are investigated in the two main theorems proved. A fuzzy dominant is given for the first fuzzy differential subordination considered and the fuzzy best dominant is obtained for the second fuzzy differential subordination of the study. Interesting corollaries are obtained when specific functions are used as fuzzy dominant and fuzzy best dominant in the two original theorems.
3. Results
The first original result presented in this paper is the definition of the fractional integral of Gaussian hypergeometric function obtained using the functions given by (1) and (2).
Definition 10. Let The fractional integral of Gaussian hypergeometric function is the analytic function ingiven by: Remark 3. Certain useful properties of the fractional integral of Gaussian hypergeometric function are next given:
(a)We conclude that
(b)
(c) Forwhich shows that In the first theorem proved in this paper, a fuzzy dominant is given for the investigated fuzzy differential subordination involving the fractional integral of Gaussian hypergeometric function. Both Lemmas 1 and 2 are used for the proof of this result.
Theorem 1. Letand letwhere D is a domain which containsLet
Assume that:
- (j)
- (jj)
is a starlike function in
If the fractional integral of Gaussian hypergeometric function given by (4) is an analytic function in, withand satisfies the fuzzy differential subordinationequivalently written as Proof. Assume that functions and satisfy conditions (i)–(iii) from Lemma 2 on Otherwise, those functions can be replaced by and where and the new functions satisfy conditions (i)–(iii) from Lemma 2 on When we get that and for
Next, we prove that function is close-to-convex, hence univalent.
Condition (jj) from the hypothesis of the theorem states that
is starlike in
We evaluate:
Using condition (j) from hypothesis of the theorem, we can write:
Since function is starlike in , from Remark 1 we have that function is close-to-convex in , hence univalent in
Let
be given by:
which is an analytic function in
for any
and continuously differentiable on
for all
Differentiating (6) with respect to
, we obtain:
for
Since
is univalent, we have that
and using condition (j) we have
which gives that
and
Since
and
we conclude that
and we have:
Using condition (
jj) from the hypothesis of the theorem we can write:
Differentiating (6) with respect to
, we obtain:
Using conditions (
j) and (
jj) and relation (9) we write:
Using (8) and (10), Lemma 1 can be applied and we have that function given by (6) is a subordination chain.
Considering the definition of the subordination chain, we have:
Using (6) we know that
and relation (11) becomes:
which, using Remark 2, is equivalent to
Since
and
is a univalent function, using fuzzy subordination (5) we get:
For
, relation (13) becomes:
Lemma 2 will be applied in order to prove that fuzzy differential subordination (5) implies .
Let’s assume that
. Using Lemma 2, we have that there exist points
and
and an
such that
and
Then:
For
relation (6) becomes:
For
relation (16) becomes:
By using (17) in (15), we have:
Using
in (12) we obtain:
Using (19) in (18) we get:
Since this contradicts (14) we conclude that the assumption made is false, hence
□
The following corollary of Theorem 1 is obtained by taking:
Corollary 1. Considerand letwhere D is a domain which contains (j)
(jj)is a starlike function in U.
If the fractional integral of Gaussian hypergeometric function given by (4) is an analytic function in, withand satisfies the fuzzy differential subordinationequivalently written as Proof. Using relation (20) obtained in the proof of Theorem 1, by putting
we obtain:
The convexity of function must be proved in order to obtain the conclusion of this corollary.
Since from
we obtain that
we conclude that function
is univalent in
with
This means that
is conformal mapping of the unit disk into the half-plane
from which we can write:
Using (24) in (23) we obtain:
hence
which gives that (22) is equivalent to
Since
is a convex function, hence univalent, and since
we conclude that this function is a conformal mapping of the unit disc into the half-plane
from which we can write:
Using (26) in (25) we obtain:
□
The best fuzzy dominant is obtained for the fuzzy differential subordination involving the fractional integral of Gaussian hypergeometric function studied in the next theorem.
Theorem 2. Let q be a univalent function inwithwhere D is a domain which containsLetassume that: (l)is a starlike function in
(ll)
(lll)is analytic in
If the fractional integral of Gaussian hypergeometric function given by (4) is an analytic function in, withand satisfies the fuzzy differential subordinationequivalently written as and q is the best fuzzy dominant. Proof. Just like in the proof of Theorem 1, assume that functions and satisfy conditions (i)–(iii) from Lemma 2 on
Next, we prove that function given by (lll) is univalent.
We differentiate
and after a short calculation we obtain:
Using conditions
(l) and (ll) from hypothesis of the theorem, we can write:
Since function is starlike in , from Remark 1 we have that function is close-to-convex in , hence univalent in
Let be given by:
which is an analytic function in
for any
and continuously differentiable on
for all
Differentiating (28) with respect to
, we obtain:
for
For
, relation (29) becomes:
Using condition
(l) we have:
For
, relation (31) becomes:
Since function is starlike, hence univalent in we have that From (32) we obtain that . Since is univalent in , we have and we conclude that
Using relation (32) and the fact that
, from relation (30) we write:
and
Differentiating (28) with respect to
, we obtain:
Using relations (29) and (34) we write:
Considering (35), conditions
(l) and
(ll) and
, we deduce:
Lemma 1 can be applied using (33) and (36), and we have that function given by (28) is a subordination chain.
Considering the definition of the subordination chain, we have:
By taking
in (28) we have
and relation (37) becomes:
which, using Remark 2, is equivalent to
For
using relations (28) and (38) we obtain:
For
(39) ca be written as:
Since
and
is a univalent function, using fuzzy subordination (27) we get:
For
, relation (41) becomes:
Lemma 2 will be applied in order to prove that fuzzy differential subordination (27) implies .
Let’s assume that
. Using Lemma 2, we have that there exist points
and
and an
such that
and
Then, using (42) we obtain:
If in (40) we put
we ca write:
Using (44) in (43) we get:
Since (45) contradicts (41), we conclude that the assumption made is false, hence
Since function is a univalent solution of the equation from (lll), the conclusion is that function is the best fuzzy dominant of the fuzzy differential subordination (27).
If we use function in Theorem 2, the following corollary is obtained:
Corollary 2. Let the convex functionand letwhere D is a domain which containsLetassume that: (l)is a starlike function in
(ll)
(lll)is analytic in
If the fractional integral of Gaussian hypergeometric function given by (4) is an analytic function in, withand satisfies the fuzzy differential subordinationequivalently written as andis the best fuzzy dominant. Differential subordination (48) implies: Proof. Using relation (46) obtained in the proof of Theorem 2, by putting
we obtain:
The convexity of function
must be proved in order to obtain the conclusion of this corollary.
Since from
we obtain that
we conclude that function
is univalent in
with
which means that
is conformal mapping of the unit disk into the half-plane
and we can write:
Using (51) in (50) we obtain:
hence
which gives that (48) is equivalent to
Since
is a convex function, hence univalent, and since we have
we conclude that function
is a conformal mapping of the unit disc into the half-plane
from which we can write:
Using (53) in (52) we obtain:
□
An example is next given in order to show an application of the results proved in the first theorem.
Example 1. Letthe convex function inLet Using Theorem 1 we can write: If
(j)
(jj),
is a starlike function inand the fuzzy differential subordination is satisfiedequivalently written Since
is a convex function as seen in Corollary 1, the fuzzy differential subordination (54) is equivalent to
We deduce that the image of the unit disk through function
is:
Using conditions
and
and Remark 2, considering Definition 9 we conclude that