Abstract
Recently, the properties of analytic functions have been mainly discussed by means of a fuzzy subset and a q-difference operator. We define certain new subclasses of analytic functions by using the fuzzy subordination to univalent functions whose range is symmetric with respect to the real axis. We introduce the family of linear q-operators and define various classes associated with these operators. The inclusion results and various integral properties are the main investigations of this article.
1. Introduction
The phrase “q-calculus” refers to classical calculus without the concept of limits. q-calculus has recently garnered a lot of attention from mathematicians due to its applications in the study of, for example, q-deformed super-algebras, quantum groups, optimal control problems, fractal and multi-fractal measures, and chaotic dynamical systems. Following the introduction of the idea of q-calculus, various authors [1,2,3,4] have analyzed classical complex operators in terms of q-calculus. The application of q-calculus involving q-derivatives and q-integrals was initiated by the author of [5,6]. The class of analytic functions in the open unit disk is denoted by . The class contains the functions containing a series of the form:
For , we have ; the class of normalized analytic functions in . We denote the classes of univalent functions, starlike functions, and convex functions by S, , and C, respectively. For , Jackson [5] introduced and studied the q-difference operator, which is defined by:
We note that , where is the usual derivative of the function.
We note that
where
For the following fundamental properties of q-difference operator, we refer to [7,8].
The concepts of geometric function theory and q-theory were connected by introducing a q-analogue of the starlike functions in [9]. Such functions are called q-starlike functions and the class of these functions is denoted by . The class stands for the class of q-convex functions. q-Mocanu-type functions were discussed by the authors of [10,11]. The systematic application of the q-difference operator in the framework of geometric function theory was studied by Srivastava [12] in 1989. Furthermore, beneficial for readers who are interested in geometric function theory, is the survey-cum-expository review study by the same author [13]. This review study methodically emphasized several different fractional q-calculus applications in geometric function theory. For more recent contributions associated with the q-difference operator, we refer to [14,15,16,17,18,19]. The study of linear operators plays a significant role in the theory of functions. Many prominent mathematicians in this field of study are interested in introducing and studying the linear operators in terms of q-analogues.
In [20], the authors introduced an operator defined by:
where and
For , we have
From this, we can easily deduce that:
Particularly, for , the operator , known as the Ruscheweyh derivative operator, is implied, for detail see [21].
The authors in [22] introduced the q-Srivastava–Attiya operator. First, for , when and when , they defined the q-Hurwitz–Lerch zeta function as the following:
Equivalently, we have
Then, by making use of (6) and (1), they defined the q-Srivastava–Attiya operator, , as
In particular, if we take , then this operator, , reduces to the Srivastava–Attiya operator [23]. We use (5) and (7) to define by
The following identities can easily be deduced from (8):
The subordination of analytic functions and denoted by are defined as , where is Schwartz function in (see [24]). Moreover, the idea of differential subordination was introduced and investigated by the authors in [25,26]. G.I. Oros and Gh. Oros were the first to study fuzzy subordination and differential subordination. For more information, see [27,28]. The study of fuzzy differential subordination involved the work of several scholars, for example, see [29,30,31,32,33,34,35,36,37,38]. Here, we provide a brief review of a few key fundamental ideas pertaining to the fuzzy differential subordination and q-calculus.
Definition 1
([39]). Let . When F maps from to , F is referred to as a fuzzy subset of .
The fuzzy subset can also be defined as the following.
Definition 2
([39]). A Fuzzy subset of is a pair (, where is known as the membership function of the fuzzy set and is called the support of fuzzy set .
Definition 3
([39]). Fuzzy subsets and of are equal if and only if , whereas if and only if , .
Definition 4
([28]). The fuzzy subordination of analytic functions and is denoted by (or ) if:
where and are a fixed point in .
Remark 1.
One of the following function , , may be used as an example.
Remark 2.
The notions of classical subordination and the fuzzy subordination coincides when in Definition 4.
After the authors of [40] established the idea, numerous prominent researchers in [41,42,43] have contributed to this topic by employing the fuzzy subordination connected to specific operators. We mention here a few recent contributions that are published in the same direction [32,44,45,46,47,48,49]. In many diverse areas of study, including engineering, biological systems with memory, electric networks, computer graphics, physics, turbulence, etc., the operators connected to fuzzy differential subordination have a wide range of applications. Using the Caputo–Fabrizio fractional derivative in the context of biological systems, Baleanu et al. [50] proposed a novel study on the mathematical modeling of the human liver. Additionally, Srivastava et al. [51] examined the analysis of the transmission dynamics of the dengue infection in terms of the fractional calculus. The authors in [52] used a new integral transform to study the Korteweg–de Vries equation, where the fractional derivative is proposed in the Caputo sense. This equation was developed to represent a broad spectrum of physical behaviors of the evolution and association of nonlinear waves. One can refer to [30,35,53] for more applications. Now, by using the concepts of the q-difference operator and the fuzzy subordination, we define the following classes:
Let T be the class of analytic functions which are univalent convex functions in with and in and where is symmetric with respect to the real axis. Now, for and with , , and , we define the following.
Definition 5.
Let , and . Then, if and only if
Moreover, let us denote
A function is in and if and only if
respectively.
Special cases:
(i) For , we have the class introduced in [36].
(ii) For and , we have the class studied by Shah et al. [36].
(iii) If and , then we have the class introduced by Shah et al. [36].
Here, some new classes are defined by applying the q-linear operator given by (8):
Definition 6.
Let , , , , , and s be real. Then,
Furthermore,
and
We note that
Special cases:
(i) If , then , and .
(ii) If and , then the classes , and are reduced to the classes , and introduced by Shah et al. [36].
(iii) If and , then , and , we refer to [36].
2. Main Results
The following lemma is needed to prove our investigations.
Lemma 1
([54]). Let with , and let with
If is analytic in Ω, then
where .
Theorem 1.
Let , , , , s be real and . Then,
for .
for .
for .
Proof.
Let . We set
for analytic in with .
The q-logarithmic differentiation of (13) yields:
Equivalently,
Since , we obtain:
We use Lemma 1 to obtain . Consequently, .
Suppose that . Then,
Now,
This implies
Since , we can write . This completes the proof of (ii).
For , the result from part is true.
Now, we suppose that . Then,
Now, we can easily write
with
where we have used (15) and . (16) implies our required result. □
Corollary 1.
For , we have . Furthermore, for , , see [36].
Corollary 2.
For and , we have . Moreover, for and , we have and when . We refer to [36].
Corollary 3.
For , we have . Moreover, for , we have . We refer to [36].
Corollary 4.
For , we have . Moreover, for , we have , see [36].
Remark 3.
If and letting . Then, by Theorem 1, we have:
We use Theorem 1, to obtain . Consequently, .
Theorem 2.
Let , , , , s be real and . Then,
Proof.
Let and let . Then,
Now, let
for analytic in with . Using (10) and (17), we obtain
equivalently,
The q-logarithmic differentiation yields:
Since , (18) implies
We assume that and we use Lemma 1 to obtain . Consequently, .
To prove part , we follow a similar technique to that used in part by taking along with identity (9). □
Corollary 5.
For and in part of the above theorem, we obtain the inclusion relation as Theorem 2.5, proven in [36].
Theorem 3.
Let , , , , s be real and . Then,
Proof.
Let . Then, by (11),
We use of Theorem 2 to obtain:
Again, by using relation (11), we obtain
In similar way, one can prove part by applying part of Theorem 2 along with the relation (11). □
Corollary 6.
For and in part of the above theorem, we obtain the inclusion relation as Theorem 2.6, proven in [36].
Remark 4.
From Theorem 1, Theorem 2 and Theorem 3, we can extend the inclusions as the following.
Theorem 4.
Let a function . Then, if and only if there exists such that
Proof.
Let . Then, by Definition 6,
By some simple calculations in (19), we obtain:
We use the linear operator given by (8) in (21), and then take q-logarithmic differentiation to obtain:
From (20) and (22), we conclude our required result. □
Corollary 7.
For and , we obtain Theorem 2.7, proven in [36].
Theorem 5.
Let . Then,
is in .
Proof.
Let . If we set, for ,
for analytic in with .
Simple calculations (23) imply that
This implies
From (24), (25) and (8), we obtain
where and . We take q-logarithmic differentiation:
Since , (26) implies
Now, we apply Lemma 1 to conclude . Consequently, . Hence, . □
Corollary 8.
For and , we obtain Theorem 2.8, proven in [36].
3. Conclusions
We successfully defined and studied the class of fuzzy q-Mocanu-type functions associated with the family of linear operators. The main results of our work are the generalization of various classical results in terms of the fuzzy subordination and q-theory. In this article, we studied the concepts of a fuzzy differential subordination associated with q-theory. First, we introduced the q-linear operator by combining two well-known q-operators and then, by using this operator, we defined various subclasses of analytic functions. For the newly defined classes, we investigated certain inclusion results and integral properties. As corollaries, some well-known conclusions were also mentioned.
Author Contributions
Conceptualization, S.A.S., S.M.E.-D. and A.F.A.; methodology, S.A.S. and A.A.; validation, A.F.A., S.M.E.-D. and A.A.; formal analysis, A.F.A., A.A. and S.M.E.-D.; investigation, S.A.S., S.M.E.-D. and A.F.A.; writing—original draft preparation, S.A.S., A.F.A. and A.A.; writing—review and editing, A.A., S.M.E.-D. and S.A.S.; supervision, S.A.S. and S.M.E.-D. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No data were used to support this study.
Acknowledgments
The researchers would like to thank the Deanship of Scientific Research, Qassim University, for funding the publication of this project.
Conflicts of Interest
The authors declare no conflict of interest.
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