Abstract
The objective of the current paper is to find the necessary and sufficient conditions for Miller–Ross-type Poisson distribution series to be in the classes and of analytic functions with negative coefficients. Furthermore, we investigate several inclusion properties of the class associated of the operator defined by this distribution. We also take into consideration an integral operator connected to series of Miller–Ross-type Poisson distributions. Special cases of the main results are also considered.
Keywords:
analytic functions; starlike functions; convex functions; Hadamard product; Miller–Ross-type Poisson distribution series MSC:
30C45
1. Definitions and Preliminaries
Special functions are very important in the study of geometric function theory, applied mathematics, physics, statistics and many other subjects. In [], Kenneth S. Miller and Bertram Ross introduced the special function, which is called the Miller–Ross function defined by
Observe that the function contains many well-known functions as special cases, for example, where is the error function defined by .
Let be the two parameters Mittag–Leffler function [] defined by
Several properties of Mittag–Leffler function and generalized Mittag–Leffler function can be found e.g., in ([,,,,,,,,]).
If , from (2) we get the Mittag–Leffler function of one parameter []
From (1) and (2), the Miller–Ross function can be expressed as
Let and denote for the class of analytic functions given by the expansion
Further, let be the subclass of consisting of functions of the form
Given two functions , where and , their Hadamard product or convolution is defined by (see, [,])
Let
and
denote the subclasses of which are starlike and convex of order , respectively. Let and be the subfamilies of and , respectively, whose functions are of the form (4).
The generalization of the classes and of functions given by the classes and which are satisfies the conditions:
and
respectively. Let
Clearly, we have and
For and Dixit and Pal [] introduced the class of all analytic functions in , defined as:
In the recent years, there has been a tremendous lot of interest in the distributions of the random variables. In statistics and probability theory, their probability density functions in the real variable x and the complex variable have been crucial. Distributions have so been the subject of much study. Numerous distribution types, including the Binomial distribution, negative binomial distribution, Poisson distribution and geometric distribution, emerged from real-world circumstances.
If the probability density function is given by:
and is the parameter of the distribution, then a random variable X follows a Poisson distribution.
Recently, with coefficients are Miller–Ross-type Poisson distribution Şeker et al. [] (see also, []) defined the following power series
where , .
We note that if we put and in (7), we get the Poisson distribution series introduced by Porwal [].
Furthermore, Şeker et al. [] defined the series
Now by the convolution, we construct the linear operator to be
In recent years, several researchers used this distribution series [,] and other distribution series such as Poisson distribution series [,,,,,], Pascal distribution series [,,,], hypergeometric distribution series [,,,,,], and the Mittag–Leffler-type Poisson distribution [] to obtain some necessary and sufficient conditions for these distributions to belong to certain classes of analytic functions defined in In the present paper we obtain some necessary and sufficient conditions for the Miller–Ross-type Poisson distribution series to be in our classes and . Furthermore, we associate these subclasses with the class , and finally, we give necessary and sufficient conditions for the function f such that the operator belongs to class .
2. Preliminary Lemmas
We require the following Lemmas in order to establish our main results.
Lemma 1
([]). A function in the class if and only if
where
Lemma 2
([]). A function in the class if and only if
where
Lemma 3
([]). If f ∈ is of the form (4), then
In this paper, we will assume that , and unless otherwise stated.
3. Necessary and Sufficient Conditions
The necessary and sufficient condition for to be in the class is given by the following
Theorem 1.
Let and , then if and only if
Proof.
Since is defined by (8), in view of Lemma 1 it suffices to verify that
□
Now, we obtain a necessary and sufficient condition for to be in the class
Theorem 2.
Let and , then if and only if
4. Inclusion Relations
The inclusion relations of the class associated of the operator defined by (9) proved in this section.
Theorem 3.
Let and If and
is satisfied then
Proof.
Theorem 4.
Let and If and
is satisfied then
5. The Operator
Theorem 5.
Let and . If the integral operator is given by
then , if and only if
Proof.
By (8) it follows that
Using Lemma 2, the integral operator belongs to if and only if
We omit the remaining part of the proof because the remaining proof of Theorem 5 is similar to that of Theorem 1. □
Theorem 6.
Proof.
Using Lemma 1, the integral operator belongs to if and only if
The complement is similar to proof of Theorem 4. □
6. Corollaries and Consequences
Putting in the previous theorems, we get the following special cases.
Corollary 1.
Let and , then if and only if
Corollary 2.
Let and , then if and only if
Corollary 3.
Let and If and
then
Corollary 4.
Let and If and
then
Corollary 5.
Corollary 6.
7. Conclusions
Several researchers have used certain distribution series such as Poisson distribution series, Pascal distribution series, hypergeometric distribution series, and the Mittag–Leffler-type Poisson distribution to obtain some necessary and sufficient conditions for these distributions to belong to certain classes of analytic functions defined in the open disk . In our study, necessary and sufficient conditions for Miller–Ross-type Poisson distribution series to be in the classes and of analytic functions with negative coefficients is obtained. We also investigate several inclusion properties of the class associated of the operator defined by this distribution. This study could inspire researchers to introduce new sufficient conditions for Miller–Ross-type Poisson distribution series to be in different classes of analytic functions with negative coefficients defined in
Author Contributions
Conceptualization, L.-I.C.; methodology, L.-I.C. and B.A.F.; software, L.-I.C.; validation, B.A.F.; formal analysis, L.-I.C.; investigation, B.A.F.; resources, L.-I.C.; data curation, L.-I.C.; writing-original draft preparation, B.A.F.; writing-review and editing, B.A.F.; visualization, B.A.F.; supervision, L.-I.C.; project administration, L.-I.C.; funding acquisition, L.-I.C. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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