1. Introduction
Let
be the class consisting of the functions of the form
which are analytic in the open symmetric unit disc
. A function
is said to be strongly starlike of order
and type
denoted by
if it satisfies
On the other hand, a function
is said to be strongly convex of order
and type
denoted by
if it satisfies
In (
2) and (
3) , if
then
f belongs to the class of strongly starlike and convex functions of order
, respectively, which have been studied by Mocanu [
1] and Nunokawa [
2], while if
then
and
, where
and
are the classes of starlike and convex functions of order
, respectively, which were introduced by Robertson [
3]. In particular, if
and
then the functions
and
, where
and
are the classes of starlike and convex functions, respectively. For
and
let
be the class of functions
satisfying the condition
for some
In (
4), if
then the function
, where
is the class of close-to-convex functions of order
and type
, which has been studied by Libera [
4], while if
and
then
f belongs to the class of strongly close-to-convex functions of order
, which has been studied by Reade [
5].
If
such that
f is given by (
1) and
g is given by
, then the Hadamard product
is defined by
Many real-life phenomena can be described and modelled using distributions of random variables, which have an important role in statistics and probability. Some of these distributions are commonly used and have been specified by special names to emphasize their significance, such as the Binomial, Poisson, and Pascal (or Negative Binomial) distribution. The Pascal distribution has been widely used in many fields such as communications, health, climatology, demographics, and engineering (see [
6]). Recently, in geometric function theory, there has been a growing interest in studying the geometric properties of analytic functions associated with the Pascal distribution (see [
7,
8,
9,
10,
11,
12,
13]).
A variable
x is said to be a Pascal (or Negative Binomial) distribution if it takes the values
with probabilities
respectively, where
m and
q are called the parameters, and thus
This distribution is based on the binomial theorem with a negative exponent and it describes the probability of m success and n failure in trials, and success on trials where is the probability of success.
Recently, a power series whose coefficients are probabilities of the Pascal distribution was introduced by El-Deeb et al. [
14] as follows
where
By the ratio test, we can note that the radius of convergence of the series above is infinity. For
we consider the Pascal operator
which is defined as follows
where
Now, we define the operator
which is analogous to the Pascal operator
, as follows
where
We define and investigate the properties of the following new classes of analytic functions by using the two operators
and
. Let
and
In 1975, Ruscheweyh [
15] introduced his famous differential operator of normalized analytic functions in the open symmetric unit disc
U. This operator has an important role in geometric function theory. In this paper, motivated by the significant work of Ruschewey, we obtained some argument properties and inclusion relations of the classes
, and
Additionally, we derive the integral preserving properties of these classes.
2. Inclusion Relations
In proving our main results, we need the following lemmas.
Lemma 1. [16] (Alexander’s Theorem). Let . Then Lemma 2. [2] Let be analytic function in U and suppose that there exists a point such thatandwhere Then we havewhereandwhere Proposition 1.
Proof. Since
then
which is equivalent to
This completes the proof of Proposition 1. □
By using (
5)–(
7) and Proposition 1, we get the following identity
In the following theorems, we will prove several inclusion relationships for analytic function classes, which are associated with and
Theorem 1. and
Proof. Let
. We need to show that
Set
where
. By using Proposition 1 and (
15), we get
Differentiating both sides of (
16) logarithmically, we obtain
Suppose that there exists a point
such that
and
where
By applying Lemma 2, we get
where
and
where
At first, if
then
where
and
Then
which obviously contradicts the assumption
Similarly, if
then we get that
which also contradicts the same assumption
Therefore, the function
should satisfy that
This shows that
Hence, the proof is completed. □
Theorem 2. and
Proof. Let
. We need to show that
Set
where
. By using (
14) and (
18), we get
Using logarithmic differentiation for (
19), we obtain
The proof is completed similarly to Theorem 1. □
Theorem 3. and
Proof. Let
. From (
10), we have
Applying Lemma 1, we obtain
From (
5), we have
which is equivalent to
By using Theorem 1, we get
which is equivelant to
From (
5) and Lemma 1, we obtain
which means
. Hence, the proof is completed. □
Theorem 4. and
Proof. Let
. From (
11), we have
Applying Lemma 1, we obtain
From (
5), we have
which is equivalent to
By using Theorem 2, we get
which is equivelant to
From (
5) and Lemma 1, we obtain
which means
. Hence, the proof is completed. □
Theorem 5. and
Proof. Let
which is equivalent to
Then there exists a function
such that
Letting
, we have
and
Now, we set
where
. By using Proposition 1 and (
21), we get
Now, differentiating (
22), we obtain
If we apply Proposition 1 for the function
then (
23) gives
By using Proposition 1 and (
22), we have
Since
, an application of Theorem 1, we have
Now, let
where
Therefore, we can rewrite (
24) as
Suppose that there exists a point
such that
and
where
By applying Lemma 2, we get
where
and
where
Let
where
and
At first, if
then
where
and
We note that
is a decreasing function in
and an increasing function in
Therefore,
on
and
which obviously contradicts the assumption
Similarly, if
we get
where
and
We note that
is an increasing function in
and a decreasing function in
Therefore,
on
and
which also contradicts the same assumption
Therefore, the function
should satisfy that
This shows that
Hence, the proof is completed. □
Theorem 6. and
Proof. Let
which is equivalent to
Then there exists a function
such that
Letting
, we have
and
Now, we set
where
. By using (
14) and (
27), we get
Now, differentiating (
28), we obtain
If we apply (
14) for the function
, then (
29) gives
By using (
14) and (
28), we have
Since
and by Theorem 2, we get
Now, let
where
. Therefore, (
30) can be written as
The rest of the proof is the same as in Theorem 5. Then we obtain that
Hence, the proof is completed. □
3. Integral Operator
In this section, we will prove several integral-preserving properties of analytic function classes which are introduced above.
Suppose that
and
For
the Bernardi operator [
17] is defined as
when
; the integral operator
was introduced by Libera [
18]. From (
33), we can easily get that
and
Theorem 7. For let and . If then
Proof. Let
. We need to show that
Set
where
. By using (
34) and (
36), we get
Differentiating both sides of (
37) logarithmically, we obtain
Suppose that there exists a point
such that
and
where
By applying Lemma 2, we get
where
and
where
At first, if
then
where
and
Then
which obviously contradicts the assumption
Similarly, if
then we get that
which also contradicts the same assumption
Therefore, the function
should satisfy that
This shows that
Hence, the proof is completed. □
Theorem 8. For let and . If then
Proof. Let
. We need to show that
Set
where
. By using (
35) and (
39), we get
Using logarithmic differentiation for (
40), we get
The rest of the proof is the same as in Theorem 7. Then we obtain that
Hence, the proof is completed. □
Theorem 9. For let and . If then
Proof. Let
. From (
10), we have
Applying Lemma 1, we obtain
(
5) gives
which is equivalent to
An application of Theorem 7 yields
or
Applying again Lemma 1, we obtain
Hence, the proof is completed. □
Theorem 10. For let and . If then
Proof. Let
. From (
11), we have
Applying Lemma 1, we obtain
(
5) gives
which is equivalent to
An application of Theorem 8 yields
or
Applying again Lemma 1, we obtain
Hence, the proof is completed. □
Theorem 11. For let and . If then
Proof. Let
which is equivalent to
Then there exists a function
such that
Letting
where the function
and
Now, put
where
. By using (
34) and (
42), we get
By differentiating (
43), we obtain
If we apply (
34) for the function
then (
44) gives
By using (
34) and (
43), we have
Since
by applying Theorem 7, we have
If we let
where
then we can rewrite (
45) as
Suppose that there exists a point
such that
and
where
By applying Lemma 2, we get
where
and
where
Let
where
and
The rest of the proof is the same as in Theorem 5. Then we obtain that
Hence, the proof is completed. □
Theorem 12. For let and . If then
Proof. Let
which is equivalent to
Then there exists a function
such that
Letting
where the function
and
Now, put
where
. By using (
35) and (
48), we get
By differentiating (
49), we obtain
If we apply (
35) for the function
then (
50) gives
By using (
35) and (
49), we have
Since
by applying Theorem 7, we have
If we let
where
then we can rewrite (
51) as
The rest of the proof is the same as in Theorem 5. Then we obtain that
Hence, the proof is completed. □
4. Conclusions
Recently, the Pascal distribution has attracted the attention of many researchers in the field of geometric function theory. This distribution was used by various authors; see [
8,
9,
10,
11,
12,
13] to consider the properties of some famous subclasses of analytic functions. In the present paper, using the normalized Pascal operator
and its dual
, we introduced new subclasses of analytic functions. Due to the earlier works on different operators such as the Ruscheweyh diffrential operator [
15] and Noor integral operator [
19], we find inclusion relations of certain new subclasses of analytic functions in the open symmetric unit disc
U that are associated with the Pascal distribution. Furthermore, we studied the integral-preserving properties for these subclasses. Making use of the definition of Pascal operators could inspire researchers to create new different subclasses of analytic functions.