1. Introduction
In 2011, a connection was made between the study of fuzzy sets theory and the area of complex analysis that examines analytic functions’ geometric characteristics. [
1]. The notion of unequal subordination was first investigated by Miller and Mocanu in [
2,
3]. Fuzzy subordination was investigated by Oros and Oros [
1] in 2011, and they originally presented fuzzy differential subordination in 2012 [
4]. A publication from 2017 [
5] provides a good overview of the background of the concept of a fuzzy set and its connections to many scientific and technological fields. It also includes references to the research conducted up to that point on fuzzy differential subordination theory. Without the first findings, which adjusted the conventional differential subordination hypothesis to the unique characteristics of fuzzy differential subordination and offered strategies for analyzing fuzzy differential subordinations’ dominants and best dominants, it would not have been possible for the study in this field to continue [
6]. After that, Ref. [
7] studied the specific form of Briot–Bouquet fuzzy differential subordinations. After embracing the idea, Haydar in [
8] started investigating the recent discoveries of fuzzy differential subordinations. This subsequent research gave the investigation a new direction by associating fuzzy differential subordinations with various operators [
9,
10].
Fuzzy differential subordination, including fractional calculus, has advanced significantly in recent years, and it has been demonstrated to have applications in numerous study areas [
11,
12].
The following equation denotes the
class of analytic functions in the open unit disk:
A notable subclass of
is defined by
and contains
, given by
Another remarkable subclass of
is denoted by
and consists of
of the type
Suppose that
and
a linear operator
be defined by
Consider
as a Riemann–Liouville fractional integral operator of order
,
(see, for instance, [
13,
14], and see also [
15,
16]). Using the widely recognized Gamma function
(Euler’s), the Riemann–Liouville operator
is interestingly replaced by the Erdelyi–Kober fractional integral operator of order
,
given by
which basically matches with (
3), where
for
Let
,
, and
. We consider for
be such that
integral operator
be defined for
and
:
Applying the Eulerian Beta-function integral for evaluation:
we readily find that
Through iterations of the previously described, a class of operators
is given by
for
moreover, the form (
2) for
is provided by
It is noteworthy that a class of operators
was presented in [
17].
From (
6), it is clear that
It is also noted that a large number of additional integral operators that were examined in previous publications are generalized by a class of operators
.
- (i)
(
, (Al-Oboudi [
18]));
- (ii)
(
, (Salagean [
19]));
- (iii)
(
, (Selvaraj-Karthikeyan [
20]));
- (iv)
(
, (Catas [
21]));
- (v)
(Jung et al. [
22]; see also [
23]);
- (vi)
(
,a
(Komatu [
24])).
2. Preliminaries
Let
℘ be the collection of injective and analytic functions on
, with
, for
and
Also,
is the subclass of
℘ with
and let
Definition 1 ([
25])
. Let
. A fuzzy subset of ϱ is defined as
. Definition 2 ([
25])
. A fuzzy subset of ϱ is a pair
, where
is referred to as a fuzzy subset and
is the membership function of the fuzzy set
Definition 3 ([
1])
. Fuzzy subsets
and
of ϱ are equal iff
, whereas
iff
,
. Definition 4 ([
1])
. Let
and
is a fixed point in
and let
,
and we will say that
fuzzy is subordinate to
denoted by
or
ifwhereand Definition 5 ([
4])
. Let
and let ℏ be univalent in
. If ω is analytic in
and satisfiesi.e.,then, ω is called a fuzzy solution of fuzzy differential subordination. The univalent function ω is called a fuzzy dominant if
for all ω satisfying (9). A fuzzy dominant
that satisfies
for all fuzzy dominant χ of (9) is said to be the fuzzy best dominant of (9). Definition 6 ([
4])
. Let Ω be a set in
and
. The class
of admissible functions contain
that satisfies
where
ξ
and
. We can write
as
. Lemma 1 ([
4])
. Let
with
. If
satisfiesthen
In this study, we establish suitable criteria for a class of operators
that corresponds to certain designated classes of admissible functions of analytic functions. The fuzzy best dominants are determined by obtaining fuzzy differential subordinations.
3. Main Results
Throughout this paper, unless otherwise mentioned, we set
and
Definition 7. Let Ω be a set in
and
. The class
of admissible functions contains the functions
that satisfywhenandwhere
ξ
and
. Here, we present and validate our initial finding, which we call Theorem 1.
Theorem 1. Put
. If
satisfiestheni.e., Proof. Differentiating (
12) and using (
7), we obtain
Further computations show that
The following transformations are now defined for
:
and
Then, by using Equations (
12)–(
16), we obtain
Thus, clearly, Equation (
11) becomes
is equivalent to the admissibility condition for
given in Definition 6. So,
and by Lemma 1,
or equivalent
i.e.,
which proves Theorem 1. □
A simply connected domain
for every conformal mapping
of
onto
exists when
. The class
is represented as
in this instance.
Theorem 1 immediately leads to the following outcome:
Theorem 2. Set
. If
,is analytic in
andtheni.e., By taking
in Theorem 2, we obtain
Corollary 1. Let
. If
,is analytic in
andthen Our finding extends Theorem 1 to the situation where
based on
’s boundary is uncertain.
Corollary 2. Assume that
and
are univalent in
with
. Also suppose that
for some
where If
satisfiestheni.e., Proof. By letting
we obtain
□
Theorem 3. Let
and χ be univalent in
with
. Put Let
satisfy
- (1)
for some
.
- (2)
For
such that
,
.
If
satisfies (18), theni.e., Proof. Case (1): Since the proof is similar to Theorem 2, we will not include it.
Applying Theorem 1 and the remark connected to
where
, with
, we obtain
for
Suppose that
we obtain
Then,
□
The fuzzy differential subordination’s best dominant (
18) is obtained using the following theorem:
Theorem 4. Let
be univalent in
and let
. Lethas a solution
with
satisfying one of the next conditions: - (1)
and
.
- (2)
is univalent in
and
for some
.
- (3)
is univalent in
and there exists
such that
for all
.
If
satisfies (18), theni.e.,and
is the fuzzy best dominant. Proof. By Theorems 2 and 3, we conclude that
is a fuzzy dominant of (
18). Since
satisfies (
21), it is also a solution of (
18) and
will be dominated by all fuzzy dominants of (
18). Thus, it is the fuzzy best dominant of (
18). □
Definition 8. Let Ω be a set in
, and assume that
. The class
of admissible functions contains the functions
that satisfywheneverandwhere
ξ
and
. Theorem 5. Let
. For
,theni.e., Proof. Using (
7) and (
23), we obtain
Further computations show that
We next transformations are now defined for
and
Thus, by using Equations (
23)–(
25), we obtain
The proof of Theorem 5 is finished if it can be demonstrated that
is equivalent to the admissibility condition for
given in Definition 6. In light of this, we observe that
and
Thus,
. Consequently, we derive by Lemma 1 that
or equivalent
i.e.,
which proves Theorem 5. □
Next, we take into account the situation where
for some conformal mapping
and
is a simply connected domain.
is represented as
in this instance.
Theorem 5 immediately leads to the next outcome.
Theorem 6. Suppose
. If
,theni.e., By taking
in Theorem 6 we obtain
Corollary 3. Let
. If
,
is analytic in
andthen, 4. Conclusions
We have initially introduced the following linear integral operator by employing a somewhat specialized version of the Riemann–Liouville fractional integral operator and its varied form known as the Erdélyi–Kober fractional integral operator:
Previous research on this class of operators was performed by Raina and Sharma [
17]. Then, using the operator
and the admissible classes
and
of analytic functions connected with the operator
, several findings about the admissible fuzzy differential subordination have been obtained. The fact that there are differential subordinations and differential superordinations of the third and higher orders in the theory of differential subordinations and differential superordinations will lead to more research on this topic. We exclusively employed and examined second-order differential subordinations in this presentation. Since fuzzy differential subordination is still a relatively young theory, its potential uses in other scientific fields or in real life are unknown. Future research projects with a longer time frame should look into those topics.
Author Contributions
Conceptualization, E.E.A., M.V.-C., and R.M.E.-A.; methodology, E.E.A., M.V.-C., and R.M.E.-A.; validation, E.E.A., M.V.-C., and R.M.E.-A.; investigation, E.E.A., M.V.-C., and R.M.E.-A.; writing—original draft preparation, E.E.A. and R.M.E.-A.; writing—review and editing, E.E.A. and R.M.E.-A.; supervision, E.E.A., M.V.-C., and R.M.E.-A.; project administration, E.E.A., M.V.-C., and R.M.E.-A. All authors have read and agreed to the published version of the manuscript.
Funding
Financial Pontificia Universidad Catolica del Ecuador, Proyecto Titulo: “Algunos resultados Cualitativos Sobre Ecuaciones diferenciales fraccionales y desigualdades integrales” Cod UIO2022.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
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