Abstract
New results concerning fuzzy differential subordination theory are obtained in this paper using the operator denoted by , previously introduced by applying the Riemann–Liouville fractional integral to the convex combination of well-known Ruscheweyh and Sălăgean differential operators. A new fuzzy subclass is defined and studied involving the operator . Fuzzy differential subordinations are obtained considering functions from class and the fuzzy best dominants are also given. Using particular functions interesting corollaries are obtained and an example shows how the obtained results can be applied.
Keywords:
differential operator; fuzzy differential subordination; fuzzy best dominant; fractional integral MSC:
30C45; 30A10; 33C05
1. Introduction
The concept of fuzzy set, introduced by Lotfi A. Zadeh in 1965 [1], has opened the way for a new theory called fuzzy set theory. It has developed intensely, nowadays having applications in many branches of science and technology.
The fuzzy set concept was applied for developing new directions of study in many mathematical theories. In geometric function theory, it was used for introducing the new concepts of fuzzy subordination [2] and fuzzy differential subordinations [3] as generalizations of the classical notion of differential subordination due to Miller and Mocanu [4,5]. The main aspects regarding the theory of differential subordination can be found in [6]. Steps in the evolution of the theory of fuzzy differential subordination can be followed in [7].
The general context of the study presented in this paper contains notions familiar to geometric function theory merged with fuzzy set theory. We first present the main classes of analytic functions involved and the definitions regarding fuzzy differential subordination theory.
represents the unit disc of the complex plane and the space of holomorphic functions in U.
Consider and for and .
We remember the usual definitions needed for fuzzy differential subordination:
Definition 1
([8]). A fuzzy subset of X is a pair , with the support of the fuzzy set and the membership function of the fuzzy set. It is denoted .
Remark 1.
When , we have
Evidently , , and , .
Definition 2
([2]). Let and let be a fixed point. We take the functions . The function f is said to be fuzzy subordinate to g and we write , if there exists a function such that and ,
Remark 2. (1) If g is univalent, then if and only if and
(2) Such a function can be consider ,
(3) If the conditions become and , which is equivalent to the classical definition of subordination.
Definition 3
([3]). Consider h an univalent function in U and , such that . When the fuzzy differential subordination
is satisfied for an analytic function p in U, such that , then p is called a fuzzy solution of the fuzzy differential subordination. A fuzzy dominant of the fuzzy solutions of the fuzzy differential subordination is an univalent function q for which , , for all p satisfying (1). The fuzzy best dominant of (1) is a fuzzy dominant , such that , , for all fuzzy dominants q of (1).
Lemma 1
([6]). Consider . If , then is a convex function, .
Lemma 2
([9]). Consider a convex function h with , and such that . When , , is an analytic function in U and
then
with the convex function as the fuzzy best dominant.
Lemma 3
([9]). Consider a convex function g in U and define with and .
If is a holomorphic function in U and
then we obtain the sharp result
The original results exposed in this paper are obtained using the well-known Ruscheweyh and Sălăgean differential operators combined with Riemann–Liouville fractional integral. The resulting operator was introduced in [10], where it was used for obtaining results involving classical differential subordination theory. The necessary definitions are reminded:
Definition 4
(Ruscheweyh [11]). The Ruscheweyh operator is introduced by ,
for
Remark 3.
For a function the Ruscheweyh operator can be written using the following form , , where Γ denotes the gamma function.
Definition 5
(Sălăgean [12]). The Sălăgean operator is introduced by ,
for , ,
Remark 4.
For a function , the Sălăgean operator can be written using the following form , .
Definition 6
([13]). Define the linear operator given by
where , .
Remark 5.
For a function the defined operator can be written using the following form
We also remind the definition of Riemann–Liouville fractional integral:
Definition 7
([14]). The Riemann–Liouville fractional integral of order λ applied to an analytic function f is defined by
with
In [10] we defined the Riemann–Liouville fractional integral applied to the operator as follows:
Definition 8
([10]). The Riemann–Liouville fractional integral applied to the differential operator is introduced by
where , and .
Remark 6.
For a function the Riemann–Liouville fractional integral of has the following form
and
The results exposed in this paper follow a line of research concerned with fuzzy differential subordinations which is popular nowadays, namely introducing new operators and using them for defining and studying new fuzzy classes of functions.
Fuzzy differential subordinations involving Ruscheweyh and Sălăgean differential operators were obtained in many studies, such as [15]. New operators introduced using fractional integral and applied in fuzzy differential subordination theory were studied in [16] where Riemann–Liouville fractional integral is applied for Gaussian hypergeometric function and in [17] where Riemann–Liouville fractional integral is combined with confluent hypergeometric function.
Motivated by the nice results obtained in fuzzy differential subordination theory using Ruscheweyh and Sălăgean differential operators and fractional integral applied to different known operators, the study presented in this paper uses the previously defined operator given in Definition 8 applied for obtaining new fuzzy differential subordinations. In the next section, a new fuzzy class will be defined and studied in order to obtain fuzzy differential subordinations inspired by recently published studies concerned with the same topic seen in [18,19,20].
The main results contained in Section 2 of the paper, begin with the definition of a new fuzzy class for which the operator given in Definition 8 is used. The property of this class to be convex is proved and certain fuzzy differential subordinations involving functions from the class and the operator are obtained. The fuzzy best dominants are given for the considered fuzzy differential subordinations in theorems which generate interesting corollaries when specific functions with remarkable geometric properties are used as fuzzy best dominants. An example is also shown in order to prove the applicability of the new results.
2. Main Results
The usage of the operator seen in Definition 8 defines a new fuzzy subclass of analytic functions as follows:
Definition 9.
The class is composed of all functions with the property
where , , .
We begin studying this subclass of functions:
Theorem 1.
is a convex set.
Proof.
Taking the functions
belonging to the class , we have to prove that the function
belongs to the class with ,
We have , , and
.
and we can write
Having we get and , .
In these conditions and we get , equivalently with and is a convex set. □
We give fuzzy differential subordinations obtained for the operator .
Theorem 2.
Considering a convex function g in U and defining with when and , then
implies the sharp result
Proof.
Differentiating relation
considering z as variable, we get and
and differentiating it again with respect to z, we obtain
and the inequality (2) representing the fuzzy differential subordination can be written
Denoted
where we obtain
Applying Lemma 3, we get
and g is the best dominant. □
We give an inclusion result for the class :
Theorem 3.
Taking and , , with , , , then
where
Proof.
Making the same steps such as in the proof of Theorem 2, taking account the hypothesis of Theorem 3 and that is a convex function, we obtain
with
Applying Lemma 2, we get
where
Since the function g is convex and is symmetric with respect to the real axis, we can write
and , that give the inclusion (3). □
Theorem 4.
Taking a convex function g with the property define When , and the fuzzy differential subordination holds
then we get the sharp result
Proof.
Considering we can write , and differentiating it we get
□
Example 1.
Consider
a convex function in U and we obtain that , . Define
Take , , , , and after a short computation we obtain
and
and differentiating it
Applying Theorem 4 we get the following fuzzy differential subordination
induce the following fuzzy differential subordination
Theorem 5.
Taking a holomorphic function h, such that and when , and the fuzzy differential subordination holds
then
where the fuzzy best dominant is convex.
Proof.
Considering and using Lemma 1, we deduce that is a convex function and it is a solution of the differential equation defining the fuzzy differential subordination (6) , therefore it is the fuzzy best dominant.
Differentiating , we get and (6) can be written
Applying Lemma 3, we get
□
Corollary 1.
Taking the convex function in with , when and the fuzzy differential subordination holds
then
where the fuzzy best dominant is convex.
Proof.
Taking we obtain and , therefore
Following the same steps like in the proof of Theorem 5 with , the fuzzy differential subordination (7) can be written
Applying Lemma 2 for and , we obtain
where
□
Example 2.
Consider
and we obtain that , and .
Taking account that
h is a convex function in U.
Taking , , , , as in Example 1, we have
and
and differentiating it
Additionally, we get
Applying Theorem 5 we get the following fuzzy differential subordination
induce the following fuzzy differential subordination
Theorem 6.
Taking a convex function g with the property and defining , , when , and the fuzzy differential subordination
holds, then we obtain the sharp result
Proof.
Considering and differentiating it we get . With this notation, inequality (8) can be written as
Applying Lemma 3, we get
□
Example 3.
Consider
and
as given in Example 1.
Taking , , , , as in Example 1, we get
and
and applying Riemann–Liouville fractional integral of order λ we have
Applying Theorem 6 we get the following fuzzy differential subordination
induce the following fuzzy differential subordination
Theorem 7.
Taking a convex function g with the property and defining , when and the fuzzy differential subordination
holds, then we obtain the sharp result
Proof.
Considering and differentiating it we obtain
and
Inequality (9) can be written
Applying Lemma 3 for and , we get
□
Example 4.
Consider
and
as given in Example 1.
Taking , , , , as in Example 1, we obtain
and
and differentiating it
Applying Theorem 7 we get the following fuzzy differential subordination
induce the following fuzzy differential subordination
Theorem 8.
Considering a holomorphic function h, such that and when , and the fuzzy differential subordination
holds, then
where the fuzzy best dominant is convex.
Proof.
Considering after differentiating it and making an easy computation, we get
and inequality (10) can be written
Applying Lemma 2, we obtain
Taking into account that applying Lemma 1 we obtain that is a convex function and it is a solution of the differential equation of the fuzzy differential subordination (10) , thus it is the fuzzy best dominant. □
Example 5.
Considering
as in Example 2, a convex function which satisfy conditions from Theorem 8, and taking , , , , we obtain
and
and differentiating it
Additionally, we get
Applying Theorem 8 we get the following fuzzy differential subordination
induce the following fuzzy differential subordination
Theorem 9.
Considering a convex function g with the property and defining , , , when and the fuzzy differential subordination
holds, then we obtain the sharp result
Proof.
Differentiating we obtain
Using this notation, the fuzzy differential subordination can be written
and applying Lemma 3, we obtain the sharp result
□
3. Conclusions
Applying the theory of fuzzy differential subordination, we studied a subclass of analytic function newly introduced regarding the operator . Several interesting properties are obtained for the defining subclass . New fuzzy differential subordinations are obtained for . To show how the results would be applied it is give an example. The operator introduced in Definition 8 and the subclass introduced in Definition 9 can be objects in other future studies. Other subclasses of analytic functions can be introduced regarding this operator and some properties for these subclasses can be investigated regarding coefficient estimates, closure theorems, distortion theorems, neighborhoods, and the radii of starlikeness, convexity, or close-to-convexity.
The dual theory of fuzzy differential superordination introduced in [21] could be used for obtaining similar results involving the operator and the class which could be combined with the results presented here for sandwich-type theorems, as seen in [17].
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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