Abstract
The concept of subordination is expanded in this study from the fuzzy sets theory to the geometry theory of analytic functions with a single complex variable. This work aims to clarify fuzzy subordination as a notion and demonstrate its primary attributes. With this work’s assistance, new fuzzy differential subordinations will be presented. The first theorems lead to intriguing corollaries for specific aspects chosen to exhibit fuzzy best dominance. The work introduces a new integral operator for meromorphic functions and uses the newly developed integral operator, which is starlike and convex, respectively, to obtain conclusions on fuzzy differential subordination.
Keywords:
fuzzy differential subordination; fuzzy best dominant; meromorphic function; convolution; linear operator MSC:
30C45; 26A33; 30C50; 30C80
1. Introduction
In the field of complex analysis, fuzzy set theory was added into the research on Geometric Function Theory (GFT) in 2011, when the first article presenting the idea of subordination in fuzzy set theory [1] was published. Miller and Mocanu’s classic aspects of subordination [2,3] served as an inspiration for this concept. The subsequent publications, which included concepts from the previously established theory of differential subordination, adopted the research path outlined by Miller and Mocanu and discussed fuzzy differential subordination [4,5,6,7,8,9]. The idea was swiftly embraced by GFT scholars, and all of the conventional research paths in this area were changed to account for the additional fuzzy elements. Research involving operators is a key area of study in GFT. Shortly after the idea was presented, in 2013 [10], such investigations to acquire new fuzzy subordination results were published. They continued in the following years [11,12,13,14] and then added superordination results [15,16,17]. We simply highlight a small number of the numerous publications that have been published in recent years to demonstrate how the research on this subject is constantly evolving [18,19,20].
Recent years have seen a significant advancement in fuzzy differential subordination incorporating fractional calculus, which has been shown to have applications in many research area.
Consider that
and
represent the unit disk in the complex plane, and let
be the space of analytic functions representing
,
and
for
and
The normalized convex function class in
is represented by
and
. The class of meromorphic function indicated by
is given by
where
is the punctured unit disc defined by
and
Let
and
be the subclasses of
, which are meromorphic starlike and meromorphic convex in
, respectively, and stated by
and
Let, for
and for
a linear operator
be defined by
The fractional integral operator of order
in the Riemann–Liouville is one of the most frequently used operators, as demonstrated by the definitions in, for instance, [21,22]; see also [23],
in terms of the Gamma function
of Euler. The Erdélyi–Kober fractional integral operator of order
is an intriguing variation of the Riemann–Liouville operator
, as specified by
which basically translates to (2) when
as
Let
satisfing
and
modifiying an Erdélyi–Kober fractional integral operator (3); in this case, a linear integral operator is examined
defined for a function
by
When analyzed using the integral of the Eulerian beta-function:
we readily find that
By iterations of the linear operators (defined above), a class of operators
r,s,t
is given by
whose series expansion for
and for
, as in (1), is given by
We note that this new class of operators
r,s,t) was introduced in [24].
- (i)
- (see Aqlan et al. [25], with );
- (ii)
- (Lashin [26]);
- (ii)
- ( , (Cho et al. [27,28]));
- (iv)
- ( , (Al-Oboudi and Al-Zkeri [29], with ));
- (v)
- ( , (Uralegaddi and Somanatha [30]);
- (vi)
- (see El-Ashwah [31], with ).
2. Definitions and Preliminaries
The following lemma will be used as a tool for proving the new results included in the section that follows.
Definition 1
([32]). Allow
F to be defined as a fuzzy subset of λ that maps from λ to
.
Definition 2
([32]). A Fuzzy subset of λ is a pair (
, where
is known as the membership function of the fuzzy set
, and
is called a fuzzy subset.
Definition 3
([1]). Let there be two fuzzy subsets of
and
. We say that the fuzzy subsets
and
are equal if and only if
,
, and we denote them by
. The fuzzy subset
is contained in the fuzzy subset
if and only if
,
, and we denote this by
.
Definition 4
([11]). Assume that
is a function satisfying
We define as
the fuzzy subset of
. The fuzzy unit disk is known as
It has been noted that
is the same as its fuzzy unit disk
Proposition 1
([1]). If
, then
, where
, and
If
then
where
and
Let,
We say
and
Definition 5
([1]). Let
and
,
Let
be fuzzy subordinate to
and be written as
or
if each of the subsequent requirements is satisfied
Definition 6
([4]). Let
, and let
be an analytic function with
. If ω is analytic in
with
and satisfies the (second-order) fuzzy differential subordination:
i.e.
then ω is a fuzzy solution, and ω is a fuzzy dominant if
for all ω satisfying (8). A fuzzy dominant
that satisfies
for all fuzzy dominant χ of (10), is the fuzzy best dominant of (10).
Lemma 1
([33] Corollary 2.6g.2, p. 66). Assume that
and
If
then
Lemma 2
([34]). Assume X is a convex function that satisfies
and let
such that
If
with
, and
,
is analytic in
, then
implies
where
is the best dominant and convex.
Lemma 3
([34]). Assume that χ is a convex function in
, and let
, and
If
, and
,
is analytic in
, then
implies
is the fuzzy best dominant.
This study finds adequate requirements for a class of fuzzy differential subordinations that are connected with an Erdélyi–Kober type integral operator
r,s,t) and that are meromorphic analytic and univalent functions. The fuzzy best dominants are determined by obtaining fuzzy differential subordinations.
3. Main Results
Theorem 1.
Let ρ be a convex function in
,
and
If, for
, satisfying
implies
then
Proof.
Assume that
Theorem 2.
Let ρ be a convex function in
,
and
If, for
, satisfying
which implies
then
Proof.
The proof is comparable to the proof of Theorem 1 using (7); therefore, we omitted it. □
Theorem 3.
Let ρ be a convex function in
,
and
If, for
, satisfying
then
Proof.
Theorem 4.
Assume that
with
and
If
, and the fuzzy differential subordination stated below is valid,
then
where
, defined as
is the fuzzy best dominant and convex.
Proof.
Suppose
We have
Let
with
and
Lemma 1 gives
which is convex and satisfies (16), and
is the fuzzy best dominant.
Consequently, using Lemma 3 with
, we find
This completes the proof. □
Putting
and
the next result can be deduced from Theorem 4.
Corollary 1.
Assume
and
with
if, for
, it satisfies
where
is defined as
it is the fuzzy best dominant and convex.
Example 1.
Assume
with
if, for
, it satisfies
where
is defined as
it is the fuzzy best dominant and convex.
; then
where
is the fuzzy best dominant and convex.
Theorem 5.
Let ρ be convex in
and
Let
, and
be analytic in
. When
then
i.e.,
Proof.
Theorem 6.
Let ρ be convex in
such that
and
Let
, and
be holomorphic in
. If
then
i.e.,
Proof.
The proof is comparable to the proof of Theorem 5, so we omitted it. □
4. Conclusions
We have successfully used the integral operator
r,s,t) given by relation (5), using the Erdélyi-Kober fractional integral operator, for the meromorphic function of the operator studied by El-Ashwah [24], in our current study of applications of fuzzy differential subordination in GFT. The fact that there are differential subordinations and superordinations offers another direction for future research on this topic, see [33,35]. We exclusively analyzed and examined first-order differential subordinations and differential superordinations in this presentation. In the first three theorems, certain fuzzy differential subordinations were given. In theorem four, we obtained integral representation for the best domimant and followed the theorem by a corollary and example. In theorems five and six, we obtained fuzzy differential subordination for
and
The different findings presented in this work are novel and would spur additional investigation into the area of GFT.
Author Contributions
Conceptualization, E.E.A., M.V.-C., R.M.E.-A., and A.M.A.; methodology, E.E.A., M.V.-C., R.M.E.-A., and A.M.A.; validation, E.E.A., M.V.-C., R.M.E.-A., and A.M.A.; investigation, E.E.A., M.V.-C., R.M.E.-A., and A.M.A.; writing—original draft preparation, E.E.A., M.V.-C., R.M.E.-A., and A.M.A.; writing—review and editing, E.E.A., M.V.-C., R.M.E.-A., and A.M.A.; supervsion, E.E.A., M.V.-C., R.M.E.-A., and A.M.A.; project adminstration, E.E.A., M.V.-C., R.M.E.-A., and A.M.A. All authors have read and agreed to the published version of the manuscript.
Funding
Pontificia Universidad Catolica del Ecuador, Proyecto Titulo: “Algunos resultados Cualitativos Sobre Ecuaciones diferenciales fraccionales y desigualdades integrales” Cod UIO2022.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
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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