Abstract
Fuzzy differential subordinations, a notion taken from fuzzy set theory and used in complex analysis, are the subject of this paper. In this work, we provide an operator and examine the characteristics of meromorphic functions in the punctured open unit disk that are related to a class of complex parameter operators. Complex analysis ideas from geometric function theory are used to derive fuzzy differential subordination conclusions. Due to the compositional structure of the operator, some pertinent classes of admissible functions are studied through the application of fuzzy differential subordination.
Keywords:
fuzzy set; fuzzy differential subordination; meromorphic functions; admissible functions; fuzzy best dominant MSC:
30C45; 26A33; 30C50; 30C80
1. Introduction
In 2011, researchers established a connection between fuzzy set theory and complex analysis, focusing on the geometric properties of analytic functions. [1] Miller and Mocanu looked at the idea of unequal subordination for the first time in [2,3]. In 2011, Oros and Oros [1] conducted research on fuzzy subordination, and in 2012 [4], they first introduced fuzzy differential subordination. An excellent summary of the history of fuzzy set theory and its relationships with numerous scientific and technological domains can be found in this 2017 publication [5]. It also contains citations for the fuzzy differential subordination theory research that had been carried out up till then. Research in this area would not have been able to continue without the initial results, which changed the traditional differential subordination hypothesis to include the unique features of fuzzy differential subordination and provided ways to find the dominants and best dominants of fuzzy differential subordinations [6].
Motivated by the thought that various mathematical domains have been attempting to embrace the fuzzy set notion established by Zadeh [7], a new sort of differential subordination arose. The first published studies on the creation of fuzzy differential subordination theories were developed with the use of several types of operators [8,9,10].
Several new results are currently being produced through the use of various operators in fuzzy differential subordination theories, as demonstrated by recently published articles such as [11,12,13,14]. As evidenced by citing works like [15,16,17], contemporary studies of fuzzy differential subordination have also focused on the class of meromorphic functions. Motivated by the aforementioned research and taking into account the novelty of the field of study pertaining to the differential subordination of admissible functions, the current study employs the Hurwitz–Lerch Zeta function and the Gaussian hypergeometric function to examine a novel linear operator introduced by the convolution applied to the operator introduced by El-Ashawh [18]. It is demonstrated that the new operator is a generalization of operators that have already been studied.
The aim of this work is to use this novel operator to demonstrate second-order fuzzy differential subordination features of meromorphic functions. The following parts present novel fuzzy differential subordination for acceptable functions discovered, while the next section recalls the previously established results employed for this analysis.
Consider that and describes the unit disk in the complex plane, and let be the space of analytic functions symbolized by then
and
for , , and . Normalized convex function classes in are represented by
Let be a class of meromorphic functions formed by
where is the punctured unit disc defined by
In recent studies, meromorphic functions have been associated with fuzzy differential subordination theory, so they are useful tools for developing this theory and will be used in this investigation. The Hurwitz–Lerch Zeta function has been successfully linked to meromorphic functions in studies utilizing new operators, including [19,20].
The general Hurwitz–Lerch Zeta function, , is defined by (see [21])
Several interesting features and characteristics of the Hurwitz–Lerch Zeta function, [22,23,24,25], have been discovered in research by several authors. Motivated by the intriguing outcomes of using this function to define new operators and for research on differential subordination theory, the following function, written as
is defined by
The linear operator, denoted by , is defined by
Then,
We note that
- (i)
- For and the operator reduces to , as introduced by Aqlan et al. (see [26], with );
- (ii)
- For the operator reduces to , as introduced by Lashin (see [27]);
- (iii)
- For and the operator reduces to , as introduced by Miller and Mocanu (see [28], p. 389).
For , and we have
Also, we can show that
Let us specify the function
where is defined by
We note that
where
is the Gaussian hypergeometric function.
If we set
we have
By using the operator , we define a new operator as follows:
We note that this class of operators, , was introduced by El-Ashawh [18].
We observe that is a positive real number) (see Cho et al. [29]).
The purpose of this investigation is to obtain fuzzy differential subordinations associated with the Hurwitz–Lerch Zeta function through the operator . For each fuzzy differential subordination obtained, we also obtain fuzzy best dominants.
The paper is organized as follows: Two known classes of admissible functions and some results related to these classes are presented in Section 2, Definitions and Preliminaries. Section 3, entitled Main Results, contains the main results of the paper and presents some subordination results, involving the operator , which is also obtained. The conclusions are outlined in Section 4.
2. Definitions and Preliminaries
The following definitions and lemmas are used as tools to prove the new results included in the following section.
Let ℘ be the set of all functions that are holomorphic and univalent on , where
and for . We also denote by the subclass of ℘ for which and let
Definition 1
([1]). A fuzzy set is a pair , where S is a set and is a membership function.
The fuzzy subset is likewise shown as follows:
Definition 2
([1]). A fuzzy subset of S is a pair , where the support of the fuzzy set is defined as and belongs to
Definition 3
([1]). Fuzzy subsets and of S are equal if , whereas if , .
Definition 4
([1]). Let and be a fixed point in and let the functions , . is said to be fuzzy subordinate to and we can write or if
where
and
Definition 5
([4]). Let and let be univalent in . If ω is analytic in and satisfies the (second-order) fuzzy differential subordination
i.e.,
then ω is called a fuzzy solution of (8) and is called a fuzzy dominant if for all ω satisfying (8). A fuzzy dominant that satisfies for all fuzzy dominants χ of (8) is said to be the fuzzy best dominant of (8).
Definition 6
([4]). Let Ω be a set in , , and . The class of admissible functions consists of the functions that satisfy whenever
where , and . For simplicity, we write as .
Lemma 1
([4]). Let with . If satisfies
then
3. Main Results
Throughout this paper, unless otherwise mentioned, we suppose that ,
Definition 7.
Let Ω be a set in and . The class of admissible functions consists of , which satisfies
whenever
and
where , and .
The following results are provided and validate our first finding.
Theorem 1.
Suppose that . If satisfies
then
i.e.,
Proof.
Assume that
Further computations show that
For , the following transformations are now defined:
and
We also set
Thus, clearly, Equation (10) becomes
A computation using (14) yields
Thus, the admissibility condition for is equivalent to the admissibility condition for , as given in Definition 6. So and, from Lemma 1,
or equivalently,
i.e.,
Theorem 1 has thus been proven. □
A simply connected domain for every conformal mapping of onto exists when . The class is represented as in this instance.
Theorem 2.
Let . If ,
is analytic in , and
then
i.e.,
Proof.
Since this proof is similar to Theorem 1, we decided to leave it out. □
Taking in Theorem 2, we obtain the following:
Corollary 1.
Assume that . If ,
is analytic in , and
then
Example 1.
By taking and in Corollary 1, we can see that
is analytic in and
so
Our result extends Theorem 1 to the case of unclear behavior of on the boundary of .
Corollary 2.
Consider that and is univalent in with . Also, suppose that for some where
If satisfies
then
i.e.,
Proof.
From Theorem 1, we obtain
Since
we have
Hence,
i.e.,
By letting we obtain
□
In the next theorem, we prove that the fuzzy properties are satisfied if and for all
Theorem 3.
Assume that and χ are univalent in with and set
Let satisfy the following conditions:
- (1)
- for some
- (2)
- There exists such that for all .
Proof.
Case (1): We exclude the proof because it is similar to Theorem 2.
Case (2): Suppose
Then,
Making use of Theorem 1 and the statement related to
where is any function mapping to , with , we obtain
for By letting we obtain Then,
□
The fuzzy differential subordination’s best dominant (17) is acquired by applying the next theorem.
Theorem 4.
Assume that is univalent in and let . Assume that the differential equation
has a solution with satisfying the following conditions:
- (1)
- and
- (2)
- is univalent in and for some
- (3)
- is univalent in and there exists such that for all .
Proof.
Finally, in Definition 8 and Theorem 5, we discuss the fuzzy properties for another admissible function .
Definition 8.
Let Ω be a set in and . The class of admissible functions consists of the functions that satisfy
whenever
and
where ξ , and .
Theorem 5.
Let . If satisfies
then
i.e.,
Proof.
Let
Further computations show that
Our next transformations are now defined for
and
Also, let
Hence, Equation (21) implies that
The proof of Theorem 5 will be finished if it can be demonstrated that the admissibility condition for is equivalent to the admissibility condition for , as given in Definition 6. For this purpose, we note that
and
Hence, . Thus, Lemma 1 leads us to the conclusion that
or equivalently,
i.e.,
Theorem 5 has been proven. □
By taking in Theorem 5, we obtain the following:
Example 2.
If we set and and let and we find that
is analytic in and
Thus,
Let for some conformal mapping of onto and be a simply connected domain. is shown as in this case.
The following outcome is immediately obtained by applying Theorem 5.
Theorem 6.
Suppose that . If and
then
i.e.,
By taking in Theorem 6, we obtain
Corollary 3.
Suppose that . If is analytic in , and
then
4. Conclusions
By applying fuzzy set theory to differential subordination, academics have been able to create increasingly complex mathematical models and investigate novel research avenues. Researchers have been able to overcome the drawbacks of conventional methods by incorporating fuzzy sets into the current differential subordination framework. Ongoing research is anticipated to yield further insights into the intersection of fuzzy set theory and differential subordination. Relation (5)’s operator has been successfully used to create novel fuzzy differential subordination, whereby the ideal fuzzy dominants were also found.
El-Ashwah [18] used the Hurwitz–Lerch Zeta function to study the operator for the meromorphic function. We are now looking at applications of fuzzy differential subordination in geometric function theory (GFT). The fuzzy best dominants for fuzzy differential subordinations can be found in Theorems 1–3. A corollary and an illustration of how to apply the new result, as shown in Theorems 5 and 6, were used to establish fuzzy differential subordinations for
Since the relatively recent findings in [30] suggest that the second-order fuzzy differential subordinations found here could be extended to third-order fuzzy differential subordinations, the new discovery in this study will encourage more GFT research. The dual notion of fuzzy differential superordination can also be used following the pattern developed here for the new integral operator. Following the current study, new operators may be created by combining Hurwitz–Lerch Zeta functions and meromorphic functions. These operators may then be utilized to provide new fuzzy differential subordination results.
Author Contributions
Conceptualization, E.E.A., R.M.E.-A., A.M.A. and R.S.; methodology, E.E.A., R.M.E.-A., A.M.A. and R.S.; validation, E.E.A., R.M.E.-A., A.M.A. and R.S.; formal analysis, E.E.A., R.M.E.-A., A.M.A. and R.S.; investigation, E.E.A., R.M.E.-A., A.M.A. and R.S.; resources, E.E.A., R.M.E.-A., A.M.A. and R.S.; writing—original draft preparation, E.E.A., A.M.A. and R.S.; writing—review and editing, E.E.A. and R.M.E.-A. supervision, E.E.A. project administration, E.E.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research has been funded by Scientific Research Deanship at University of Ha’il, Saudi Arabia through project number «RG-24 054».
Data Availability Statement
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.
Acknowledgments
This research has been funded by Scientific Research Deanship at University of Ha’il, Saudi Arabia through project number «RG-24 054».
Conflicts of Interest
The authors declare that they have no conflicts of interest.
References
- Oros, G.I.; Oros, G. The notion of subordination in fuzzy sets theory. Gen. Math. 2011, 19, 97–103. [Google Scholar]
- Miller, S.S.; Mocanu, P.T. Second order-differential inequalities in the complex plane. J. Math. Anal. Appl. 1978, 65, 289–305. [Google Scholar] [CrossRef]
- Miller, S.S.; Mocanu, P.T. Differential subordinations and univalent functions. Mich. Math. J. 1981, 28, 157–172. [Google Scholar] [CrossRef]
- Oros, G.I.; Oros, G. Fuzzy differential subordination. Acta Univ. Apulensis 2012, 30, 55–64. [Google Scholar]
- Dzitac, I.; Filip, F.G.; Manolescu, M.J. Fuzzy logic is not fuzzy: World-renowned computer scientist Lotfi A. Zadeh. Int. J. Comput. Commun. 2017, 12, 748–789. [Google Scholar] [CrossRef]
- Oros, G.I.; Oros, G. Dominants and best dominants in fuzzy differential subordinations. Stud. Univ. Babes-Bolyai Math. 2012, 57, 239–248. [Google Scholar]
- Zadeh, L.A. Fuzzy sets. Inf. Control. 1965, 8, 338–353. [Google Scholar] [CrossRef]
- Haydar, E.A. On fuzzy differential subordination. Math. Moravica 2015, 19, 123–129. [Google Scholar] [CrossRef]
- Lupas, A.A. A note on special fuzzy differential subordinations using generalized Salagean operator and Ruscheweyh derivative. J. Comput. Anal. Appl. 2013, 15, 1476–1483. [Google Scholar]
- Venter, A.O. On special fuzzy differential subordination using Ruscheweyh operator. An. Univ. Oradea Fasc. Mat. 2015, 22, 167–176. [Google Scholar]
- Ali, E.E.; Cortez, M.V.; El-Ashwah, R.M. Fuzzy differential subordination for classes of admissible functions defined by a class of operators. Fractal Fract. 2024, 8, 405. [Google Scholar] [CrossRef]
- Shah, S.A.; Ali, E.E.; Maitlo, A.A.; Abdeljawad, T.; Albalahi, A.M. Inclusion results for the class of fuzzy α-convex functions. AIMS Math. 2023, 8, 1375–1383. [Google Scholar] [CrossRef]
- Oros, E.E.A.G.I.; El-Ashwah, R.M.; Albalahi, A.M. Applications of fuzzy differential subordination theory on analytic p-valent functions connected with q-calculus operator. AIMS Math. 2024, 9, 21239–21254. [Google Scholar] [CrossRef]
- Soren, M.M.; Cotîrla, L.I. Fuzzy differential subordination and superordination results for the Mittag-Leffler type Pascal distribution. AIMS Math. 2024, 9, 21053–21078. [Google Scholar] [CrossRef]
- Ali, E.E.; Cortez, M.V.; El-Ashwah, R.M.; Albalahi, A.M. Fuzzy subordination results for meromorphic functions Connected with a Linear Operator. Fractal Fract. 2024, 8, 308. [Google Scholar] [CrossRef]
- Lupas, A.A. A note on special fuzzy differential subordinations using multiplier transformation and Ruscheweyh derivative. J. Comput. Anal. Appl. 2018, 25, 1116–1124. [Google Scholar]
- Ali, E.E.; Oros, G.I.; El-Ashwah, R.M.; Albalahi, A.M.; Ennaceur, M. Fuzzy subordination results for meromorphic functions associated with Hurwitz–Lerch Zeta Function. Mathematics 2024, 12, 3721. [Google Scholar] [CrossRef]
- El-Ashwah, R.M. Inclusion properties regarding the meromorphic structure of Srivastava-Attiya operator. South. Asian Bull. Math. 2014, 38, 501–512. [Google Scholar]
- Srivastava, H.M.; Gaboury, S.; Ghanim, F. Partial sums of certain classes of meromorphic functions related to the Hurwitz–Lerch zeta function. Moroc. J. Pure Appl. Anal. 2015, 1, 38–50. [Google Scholar] [CrossRef]
- Ghanim, F.; Batiha, B.; Ali, A.H.; Darus, M. Geometric properties of a linear complex operator on a subclass of meromorphic functions an analysis of Hurwitz–Lerch-Zeta functions. Appl. Math. Nonlinear Sci. 2023, 8, 2229–2240. [Google Scholar] [CrossRef]
- Srivastava, H.M.; Choi, J. Series Associated with the Zeta and Related Functions; Springer: Dordrecht, The Netherlands, 2001. [Google Scholar]
- Ferreira, C.; Lopez, J.L. Asymptotic expansions of the Hurwitz-Lerch Zeta function. J. Math. Anal. Appl. 2004, 298, 210–224. [Google Scholar] [CrossRef]
- Lin, S.-D.; Srivastava, H.M. Some families of the Hurwitz-Lerrch Zeta functions and associated fractional dervtives and other integral representations. Appl. Math. Comput. 2004, 154, 725–733. [Google Scholar]
- Bulboaca, T. Integral operators that preserve the subordination. Bull. Korean Math. Soc. 1997, 34, 627–636. Available online: https://www.researchgate.net/publication/263631204 (accessed on 3 July 2025).
- Choi, J.; Srivastava, H.M. Certain families of series associated with the Hurwitz-Lerch Zeta functions. Appl. Math. Comput. 2005, 170, 399–409. [Google Scholar] [CrossRef]
- Aqlan, E.; Jahangiri, J.M.; Kulkarni, S.R. Certain integral operators applied to meromorphic p-valent functions. J. Nat. Geom. 2003, 24, 111–120. [Google Scholar]
- Lashin, A.Y. On certain subclass of meromorphic functions associated with certain integral operators. Comput. Math Appl. 2010, 59, 524–531. [Google Scholar] [CrossRef]
- Miller, S.S.; Mocanu, P.T. Differential Subordinations: Theory and Applications; Marcel Dekker Inc.: New York, NY, USA, 2000. [Google Scholar]
- Cho, N.E.; Kwon, O.S.; Srivastava, H.M. Inclusion relationships for certain subclasses of meromorphic functions associated with a family of multiplier transformations. Integral Transform. Spec. Funct. 2005, 16, 647–659. [Google Scholar] [CrossRef]
- Oros, G.I.; Oros, G.; Güney, O. Introduction in third-order fuzzy differential subordination. Hacet. J. Math. Stat. 2024, 12, 1–15. [Google Scholar] [CrossRef]
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