Abstract
In this paper, we investigate several fuzzy differential subordinations that are connected with the Borel distribution series of the Mittag-Leffler type, which involves the two-parameter Mittag-Leffler function . Using the above-mentioned operator we also introduce and study a class of holomorphic and univalent functions in the open unit disk . The Mittag-Leffler-type functions, which we have used in the present investigation, belong to the significantly wider family of the Fox-Wright function , whose p numerator parameters and q denominator parameters possess a kind of symmetry behavior in the sense that it remains invariant (or unchanged) when the order of the p numerator parameters or when the order of the q denominator parameters is arbitrarily changed. Here, in this article, we have used such special functions in our study of a general Borel-type probability distribution, which may be symmetric or asymmetric. As symmetry is generally present in most works involving fuzzy sets and fuzzy systems, our usages here of fuzzy subordinations and fuzzy membership functions potentially possess local or non-local symmetry features.
Keywords:
holomorphic functions; analytic functions; univalent functions; fuzzy differential subordination; fuzzy best dominant; Mittag-Leffler functions; Fox-Wright function; Mittag-Leffler type Borel distribution MSC:
Primary 30C45; Secondary 30A10, 30C20, 33E12
1. Introduction and Motivation
Our main objective in this article is to investigate several potentially useful results that are based upon second-order fuzzy differential subordinations and their applications in Geometric Function Theory of Complex Analysis and that are intimately connected with the Mittag-Leffler-type Borel distribution series.
The motivation for this investigation was derived from a number of recent works that made use of Borel and other types of probability distributions in the study of such members of the family of holomorphic functions, such as univalent starlike functions and univalent convex functions, which are defined and normalized in the open unit disk in the complex z-plane.
We choose here to mention the works of El-Deeb et al. [1], Murugusundaramoorthy and El-Deeb [2], Srivastava et al. [3], and Wanas and Khuttar [4], in which use was made of the Borel distribution series, involving many different special functions and orthogonal polynomials, in their study of subclasses of normalized holomorphic functions in the open unit disk.
On the other hand, various applications of the concept of fuzzy sets and fuzzy systems in conjunction with the principle of differential subordination between analytic functions can be found in the works of El-Deeb et al. (see [5,6]), Lupaş et al. (see [7,8,9]), Oros and Oros (see [10,11,12]), and Wanas [13]. Some other recent publications that are worth mentioning here include those by Eş [14], Laengle et al. [15], Lupaş [16], Oros [17], and Venter [18]. In particular, the recently-published article by Laengle et al. [15] includes an interesting and useful bibliometric and bibliograhic account of notable developments on Fuzzy Sets and Fuzzy Systems over the past 40 years.
The organization of this paper is as follows. In Section 2, we present the definitions and preliminaries that provide the foundation of our paper. Section 3 includes several lemmas that are needed in proving our main results in Section 4. Some corollaries and consequences of our main results are also deduced in Section 4. In Section 5, we present a number of remarks and observations based upon our work. Finally, in the concluding section (Section 6), some potential directions for related further research are presented.
2. Definitions and Preliminaries
Let and denote the set of complex numbers and the set of positive integers, respectively. For , we denote by the class of holomorphic functions in .
For , we denote by the class of functions defined by
where is the open unit disk given by
In particular, we write .
Finally, we let
and we denote by , , and the classes of functions in , which are, respectively, univalent, starlike, and convex in , so that, by definition, we have
and
For our present investigation, we need the following definitions.
Definition 1
(see [19,20,21]). Given two functions and which are analytic in we say that is subordinate to denoted by
provided that a Schwarz function w exisits, which is analytic in Δ and saisfies the condition given by
such that
Moreover, in the case where is univalent in then the following equivalence holds true:
Remark 1.
The widely-applied principle of differential subordination between analytic functions happens to provide an interesting and useful generalization of various inequalities involving complex variables. In fact, the monograph on this subject by Miller and Mocanu [20] (see also [19] for recent developments on differential subordinations and differential superordinations) is a good source to learn about the theories and applications of differential subordinations and differential superordinations.
The following definitions and propositions present the notion of fuzzy differential subordination.
Definition 2
(see [22]). Assume that the set is non-empty, that is,. Then an application is called a fuzzy subset of the non-empty set . More precisely, a pair where and
is said to be a fuzzy subset of . The set is referred to as the support of the fuzzy set written as and the set function set function is called the membership function of the fuzzy set
Remark 2.
Symmetry type properties and symmetry type features are known to be generally present in most works dealing with fuzzy sets and fuzzy systems. Our usages here of fuzzy subordinations and fuzzy membership functions potentially possess local or non-local symmetric or asymmetric features.
We now make use of moduli of complex-valued functions in order to introduce and apply the concept of membership functions on the set of complex numbers given by
Definition 3
(see [9], p. 120). Let be a function such that
Denote by
the fuzzy subset of the set of complex numbers. We call the following subset:
the fuzzy unit disk. It is observed that is the same as its fuzzy unit disk .
Proposition 1
(see [9,10]). Each of the following assertions holds true:
- (i)
- If then where
- (ii)
- If then where
For we now use the following notations:
and
Definition 4
(see [10]). For a given fixed point let Then we say that f is fuzzy subordinate to written as or provided that
(i)
and
(ii)
Proposition 2
(see [10]). Assume that is a fixed point and the functions If then
(i)
and
(ii) and
where and are defined by and respectively.
Definition 5
(see [11]). Assume that and with
Let the function p be analytic in with and satisfy the following second-order fuzzy differential subordination:
that is,
Then p is said to be a fuzzy solution of the fuzzy differential subordination. Moreover, if
that is, if
for all functions p that satisfy then we say that the univalent function q is a fuzzy dominant of the fuzzy solutions for the fuzzy differential subordination.
Remark 3.
In the literature on probability theory, a nice relationship between Poisson processes and Borel distributions can be found. In addition, Borel distributions are also closely related to the Galton-Watson branching processes. Details can be found in, for example, [23,24].
Various families of linear or convolution operators are known to play important roles in the Geometric Function Theory of Complex Analysis and its related fields. One can indeed express derivative and integral operators as convolutions of some families of analytic functions. This kind of formalism makes further mathematical investigation much easier and also aids in the better understanding of the geometric properties of the operators involved.
We now introduce the familiar Mittag-Leffler function and its two-parameter version are defined, respectively, by
which were first considered by Magnus Gustaf (Gösta) Mittag-Leffler (1846–1927) in 1903 and Anders Wiman (1865–1959) in 1905 (see, for details, [25,26,27]).
The Mittag-Leffler function and its two-parameter version are known to contain, as their special cases, a number of elementary functions, such as the exponential, trigonometric, and hyperbolic functions. In fact, these Mittag-Leffler functions happen to be the most commonly-used special cases of the Fox-Wright function with p numerator parameters and q denominator parameters, which is defined by the following series (see, for example, Ref. [28] p. 67, Equation (1.12.68) and Ref. [29] p. 21, Equation 1.2(38); see also Ref. [30]):
Remark 4.
In the vast and widely-scattered literature on mathematical, physical and engineering sciences, one can find infinitely many usages of the celebrated Gauss hypergeometric function the Kummer (or confluent) hypergeometric function the Clausen hypergeometric function and various other mathematical functions of the hypergeometric type, all of which are contained in the generalized hypergeometric function involving p numerator parameters and q denominator parameters as special cases (see, for details, [29,31]). The Fox-Wright function defined by does, in fact, provide a further generalization of the generalized hypergeometric function involving p numerator parameters and q denominator parameters given by
The relatively more familiar Bessel-Wright function is also a very specialized case of the Fox-Wright function defined by .
In view of Remark 4, it is clear that almost all of the special functions of hypergeometric class as well as most (if not all) of the Mittag-Leffler-type functions, including those that we have used in our present investigation, belong to the much wider family of the Fox-Wright function , whose p numerator parameters and q denominator parameters possess some kind of symmetry behavior in the sense that the Fox-Wright function remains invariant (or unchanged) when the order of the numerator parameters or when the order of the denominator parameters is arbitrarily changed.
It is easy to rewrite the second definition in (5) as follows:
In the solutions of many real-world problems, which are modeled by means of fractional-order differential, integral and integro-differential equations, Mittag-Leffler-type functions are known to arise naturally. Some important examples include fractional-order generalizations of the kinetic equation, random walks, Lévy flights, super-diffusive transport and the study of complex systems. Potentially useful properties of the Mittag-Leffler-type functions and can be found in, for example, [28,32,33,34,35,36,37,38].
The Mittag-Leffler function does not belong to the normalized analytic function class . We, therefore, normalize the Mittag-Leffler function as follows:
and For convenience, hereafter we only consider the case when the parameters and are real-valued and for
Named after the French mathematician, Félix Édouard Justin Émile Borel (1871–1956), the widely- and extensively-studied Borel distribution is a discrete probability distribution that arises in such contexts as (for example) branching processes and queueing theory. We recall that a discrete random variable x defines a Borel distribution if it takes on the values together with the probabilities given by
respectively, being the parameter of the Borel distribution.
Recently, Wanas and Khuttar [4] applied the Borel distribution (BD) in their study of certain convexity and other geometric properties of analytic functions. Its probability mass function, given by
was studied by Wanas and Khuttar [4]. Following the work of Wanas and Khuttar [4], we introduce the following series in which the coefficients involve probabilities of the Borel distribution (BD):
We now recall the following Mittag-Leffler type Borel distribution that was studied by Murugusundaramoorthy and El-Deeb [2] (see also [1,3]):
where the two-parameter Mittag-Leffler function is defined in (5). Thus, by using (9) and (10), and by means of the Hadamard product (or convolution), we now define the Mittag-Leffler-type Borel distribution series as follows:
Moreover, by making use of the Hadamard product (or convolution), for
we define
where denotes the set of non-positive integers and
We have used, in this paper, such special functions as the Mittag-Leffler type functions in our study of a general Borel type probability distribution, which may be conditioned to be symmetric or asymmetric.
3. A Set of Lemmas
Each of the following lemmas will be needed in proving our main results.
Lemma 1
(see [20]). Let and suppose that
If
then .
Lemma 2
(see [12] Theorem 2.6). Let ψ be a convex function with and with If with the function is analytic in and
then
where
The function q is convex in Δ and it is the fuzzy best dominant.
Lemma 3
(see [12] Theorem 2.7). Let the function g be convex in Δ and suppose that
If the function p given by
belongs to the class and
then
This result is sharp, that is, the equality holds true for a suitably specified function.
For the general theory of fuzzy differential subordination and its applications, we refer the reader to the recent works [5,6,7,8,9,13].
In Section 4 below, we obtain several fuzzy differential subordinations that are associated with the operator by using the method of fuzzy differential subordination.
4. Main Results and Their Consequences
Throughout this paper, we assume that , , and . By using the operator we define a new class of normalized analytic functions for which we derive several fuzzy differential subordinations.
Definition 6.
Let . A function is said to belong to the class if it satisfies the following inequality:
Theorem 1.
Let the function k be in the normalized convex function class on Δ and suppose that
If and
then the following fuzzy differential subordination:
implies that
This result is sharp, that is, the equality holds true for a suitably specified function.
Proof.
Since
by differentiating both sides with respect to z, we obtain
so that
which, by differentiating with respect to z, yields
By applying Lemma (3), we find that
that is, that
Therefore, we obtain
and k is the fuzzy best dominant. This completes our proof of Theorem 1. □
Theorem 2.
Assume that
Let the operator be given by . Then,
where
Proof.
Since the function h belongs to the normalized convex function class in by using the same technique as in the proof of Theorem 1, we find from the hypothesis of Theorem 2 that
where is defined in (18). Thus, by using Lemma 2, we obtain
which implies that
where the function , given by
belongs to on and is symmetric with respect to the real axis. Consequently, we have
and
This evidentally completes the proof of Theorem 2. □
Theorem 3.
Let the function k belong to the normalized convex function class in and
If and satisfies the following fuzzy differential subordination:
then
The result is sharp, that is, the assertion holds true for a suitably specified function.
Proof.
For
we find that
We, thus, see that the following inequality:
implies that
Now, by applying Lemma 3, we have
which implies that
The result is easily seen to be sharp, that is, the result holds true for a suitably specified function. The proof of Theorem 3 is, thus, completed. □
Theorem 4.
Let with such that
If and the following fuzzy differential subordination holds true:
then
where the function , given by
is convex and it is the fuzzy best dominant.
Proof.
Let
where . Suppose also that with such that
From Lemma 1, we have
which belongs to the class and satisfies the fuzzy differential subordination (25). Since
it is the fuzzy best dominant.
Consequently, we obtain
which completes the proof of Theorem 4. □
Upon setting
in Theorem 4, we can deduce the following corollary.
Corollary 1.
Let
be in the normalized convex function class in with and If the function satisfies the following fuzzy differential subordination:
then the function given by
is convex and is the fuzzy best dominant.
5. Further Remarks and Observations
In our present investigation, we derived several results involving fuzzy differential subordinations that are connected with the Mittag-Leffler-type Borel distribution series given by
or, equivalently, by
where d is a positive integer and . We successfully applied the above operator with a view to introduce and study the class of holomorphic and univalent functions in the open unit disk . Upon specialization, one of our main results (Theorems 1 to 4) yields an interesting special case, which we have recorded here as a corollary.
Recently, in his survey-cum-expository review article, Srivastava [39] demonstrated how the theories of the basic (or -) calculus and the fractional -calculus have significantly encouraged and motivated further developments in Geometric Function Theory of Complex Analysis. It is, therefore, worthwhile to reiterate an important observation, which was made in the above-mentioned review-cum-expository review article by Srivastava [39], who pointed out the fact that the basic (or -) extensions of the results, which we have presented here, can easily, and almost trivially, be translated into the corresponding results for the so-called -analogues (with ) by making use of some obvious and straightforward variations of parameters and arguments. This is so, because the additional parameter is redundant.
6. Conclusions
In our present investigation of applications of fuzzy differential subordinations in Geometric Function Theory of Complex Analysis, we successfully made use of a general Mittag-Leffler type Borel distribution involving the two-parameter Mittag-Leffler function . As we indicated in Remark 3 above, almost all of the higher transcendental functions of the hypergeometric class as well as most (if not all) of the Mittag-Leffler-type functions, including those that we used in this article, belong to the much wider family of the Fox-Wright function .
Consequently, one could possibly generalize the results presented in this paper by analogously using the Borel distribution and other suitable probability distributions with Mittag-Leffler-type functions that are more general than the two-parameter Mittag-Leffler function that we used herein.
Another avenue for further research on this subject is provided by the fact that, in the theory of differential subordinations and differential superordinations, there are differential subordinations and differential superordinations of the third and higher orders as well (see, for details, [20]; see also [19] for recent developments on this subject). In this presentation, we only used and explored the second-order differential subordinations and differential superordinations.
Author Contributions
Conceptualization, H.M.S. and S.M.E.-D.; methodology, H.M.S. and S.M.E.-D.; software, S.M.E.-D.; validation, H.M.S.; formal analysis, H.M.S. and S.M.E.-D.; investigation, H.M.S. and S.M.E.-D.; resources, H.M.S.; data curation, H.M.S.; writing—original draft preparation, S.M.E.-D.; writing—review and editing, H.M.S.; visualization, S.M.E.-D., H.M.S. and S.M.E.-D.; supervision, H.M.S.; project administration, H.M.S.; funding acquisition, H.M.S. 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
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- El-Deeb, S.M.; Murugusundaramoorthy, G.; Alburaikan, A. Bi-Bazilevič functions based on the Mittag-Leffler-type Borel distribution associated with Legendre polynomials. J. Math. Comput. Sci. 2021, 24, 235–245. [Google Scholar] [CrossRef]
- Murugusundaramoorthy, G.; El-Deeb, S.M. Second Hankel determinant for a class of analytic functions of the Mittag-Leffler-type Borel distribution related with Legendre polynomials. Turkish World Math. Soc. J. Appl. Engrg. Math. 2021, in press. [Google Scholar]
- Srivastava, H.M.; Murugusundaramoorthy, G.; El-Deeb, S.M. Faber polynomial coefficient estmates of bi-close-to-convex functions connected with the Borel distribution of the Mittag-Leffler-type. J. Nonlinear Var. Anal. 2021, 5, 103–118. [Google Scholar]
- Wanas, A.K.; Khuttar, J.A. Applications of Borel distribution series on analytic functions. Earthline J. Math. Sci. 2020, 4, 71–82. [Google Scholar] [CrossRef]
- El-Deeb, S.M.; Lupaş, A.A. Fuzzy differential subordinations associated with an integral operator. An. Univ. Craiova Ser. Mat. Inform. 2020, 27, 133–140. [Google Scholar]
- El-Deeb, S.M.; Oros, G. Fuzzy differential subordinations connected with the linear operator. Math. Bohem. 2021. [Google Scholar] [CrossRef]
- Lupaş, A.A. A note on special fuzzy differential subordinations using generalized Săla̧gean operator and Ruscheweyh derivative. J. Comput. Anal. Appl. 2013, 15, 1476–1483. [Google Scholar]
- Lupaş, A.A. On special fuzzy differential subordinations using convolution product of Salagean operator and Ruscheweyh derivative. J. Comput. Anal. Appl. 2013, 15, 1484–1489. [Google Scholar]
- Lupaş, A.A.; Oros, G. On special fuzzy differential subordinations using Sălăgean and Ruscheweyh operators. Appl. Math. Comput. 2015, 261, 119–127. [Google Scholar] [CrossRef]
- Oros, G.I.; Oros, G. The notation of subordination in fuzzy sets theory. Gen. Math. 2011, 19, 97–103. [Google Scholar]
- Oros, G.I.; Oros, G. Fuzzy differential subordination. Acta Univ. Apulensis Math. Inform. No. 2012, 30, 55–64. [Google Scholar]
- Oros, G.I.; Oros, G. Dominant and best dominant for fuzzy differential subordinations. Stud. Univ. Babeş-Bolyai Math. 2012, 57, 239–248. [Google Scholar]
- Wanas, A.K. Fuzzy differential subordinations of analytic functions invloving Wanas operator. Ikonian J. Math. 2020, 2, 1–9. [Google Scholar]
- Eş, A.H. On fuzzy differential subordination. Math. Moravica 2015, 19, 123–129. [Google Scholar]
- Laengle, S.; Lobos, V.; Merigó, J.M.; Herrera-Viedma, E.; Cobo, M.J.; de Baets, B. Forty years of fuzzy sets and systems: A bibliometric analysis. Fuzzy Sets Syst. 2021, 402, 155–183. [Google Scholar] [CrossRef]
- Lupaş, A.A. A note on special fuzzy differential subordinations using multiplier transformation. An. Univ. Oradea Fasc. Mat. 2016, 23, 183–191. [Google Scholar]
- Oros, G.I. New fuzzy differential subordinations. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Statist. 2021, 70, 229–240. [Google Scholar]
- Venter, A.O. On special fuzzy differential subordination using Ruscheweyh operator. An. Univ. Oradea Fasc. Mat. 2015, 22, 167–176. [Google Scholar]
- Bulboacă, T. Differential Subordinations and Superordinations: Recent Results; House of Scientific Book Publishing: Cluj-Napoca, Romania, 2005. [Google Scholar]
- Miller, S.S.; Mocanu, P.T. Differential Subordination: Theory and Applications; Series on Monographs and Textbooks in Pure and Applied Mathematics; Marcel Dekker Incorporated: New York, NY, USA; Basel, Switzerland, 2000; Volume 225. [Google Scholar]
- Srivastava, H.M.; Prajapati, A.; Gochhayat, P. Third-order differential subordination and differential superordination results for analytic functions involving the Srivastava-Attiya operator. Appl. Math. Inform. Sci. 2018, 12, 469–481. [Google Scholar] [CrossRef]
- Gal, S.G.; Ban, A.I. Elemente de Matematica Fuzzy; Editura Universitatea din Oradea: Oradea, Romania, 1996. [Google Scholar]
- Grimmett, G.R.; Stirzaker, D.R. Probability and Random Processes, 4th ed.; Oxford University Press: Oxford, UK; London, UK; New York, NY, USA, 2020. [Google Scholar]
- Allen, L.J.S. An Introduction to Stochastic Processes with Applications to Biology, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2011. [Google Scholar]
- Mittag-Leffler, G.M. Sur la nouvelle fonction E(x). C R. Acad. Sci. Paris 1903, 137, 554–558. [Google Scholar]
- Wiman, A. Über den Fundamentalsatz in der Teorie der Funktionen Eα(x). Acta Math. 1905, 29, 191–201. [Google Scholar] [CrossRef]
- Wiman, A. Über die Nullstellun der Funcktionen Eα(x). Acta Math. 1905, 29, 217–234. [Google Scholar] [CrossRef]
- Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and Applications of Fractional Differential Equations; North-Holland Mathematical Studies; Elsevier (North-Holland) Science Publishers: Amsterdam, The Netherlands; London, UK; New York, NY, USA, 2006; Volume 204. [Google Scholar]
- Srivastava, H.M.; Karlsson, P.W. Multiple Gaussian Hypergeometric Series; Halsted Press (Ellis Horwood Limited): Chichester, UK; John Wiley and Sons: New York, NY, USA; Chichester, UK; Brisbane, Australia; Toronto, ON, Canada, 1985. [Google Scholar]
- Srivastava, H.M. Some Fox-Wright generalized hypergeometric functions and associated families of convolution operators. Appl. Anal. Discrete Math. 2007, 1, 56–71. [Google Scholar]
- Slater, L.J. Generalized Hypergeometric Functions; Cambridge University Press: Cambridge, UK; London, UK; New York, NY, USA, 1966. [Google Scholar]
- Attiya, A.A. Some Applications of Mittag-Leffler function in the unit disk. Filomat 2016, 30, 2075–2081. [Google Scholar] [CrossRef]
- Bansal, D.; Prajapat, J.K. Certain geometric properties of the Mittag-Leffler functions. Complex Var. Elliptic Equ. 2016, 61, 338–350. [Google Scholar] [CrossRef]
- Frasin, B.A.; Al-Hawary, T.; Yousef, F. Some properties of a linear operator involving generalized Mittag-Leffler function. Stud. Univ. Babeş-Bolyai Math. 2020, 65, 67–75. [Google Scholar] [CrossRef]
- Frasin, B.A. An application of an operator associated with generalized Mittag-Leffler function. Konuralp J. Math. 2019, 7, 199–202. [Google Scholar]
- Kiryakova, V. Generalized Fractional Calculus and Applications; Pitman Research Notes in Mathematics; Longman Scientific and Technical: Harlow, UK, 1993; Volume 301. [Google Scholar]
- Srivastava, H.M. Fractional-order derivatives and integrals: Introductory overview and recent developments. Kyungpook Math. J. 2020, 60, 73–116. [Google Scholar]
- Srivastava, H.M.; Bansal, M.K.; Harjule, P. A study of fractional integral operators involving a certain generalized multi-index Mittag-Leffler function. Math. Methods Appl. Sci. 2018, 41, 6108–6121. [Google Scholar] [CrossRef]
- Srivastava, H.M. Operators of basic (or q-) calculus and fractional q-calculus and their applications in geometric function theory of complex analysis. Iran. J. Sci. Technol. Trans. A Sci. 2020, 44, 327–344. [Google Scholar] [CrossRef]
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