Abstract
In the current article, we utilize the concept of subordination to establish a new subclass of analytic functions associated with a bounded domain that is symmetric about the real axis. By applying the convolution technique, we derive the necessary and sufficient condition, the radius of convexity for this recently introduced class. Furthermore, we prove the sharp upper bounds for the second-order Hankel determinants and third-order Hankel determinant for the functions belonging to the newly defined class.
1. Introduction
Let denote the class of all of analytic functions defined in the open unit disk and whose normalized Maclaurin series representation is given as:
with normalization conditions and . A function is said to be univalent if it never takes the same value twice. By , we mean the subclass of containing all the functions which are univalent in . Subordination is an important tool used to investigate various inclusion and radii problems for certain classes of analytic functions.
A function is subordinate to in written as if there exists a Schwarz function , which is analytic in and with , such that . In addition, if the function is univalent in , then we have
By and , we mean the well known subclasses of consisting of starlike, convex, close-to-convex and functions with bounded turnings, respectively.
The convolution of two regular functions and in , with the series representation of given in (1) and , is defined as
In 1985, Padmanabhan et al. [1] defined the integrated families of starlike and convex functions by using the theory of convolution along with the function , where . Shanmugam [2] generalized the idea of [1] and introduced the general form of functions class by considering an analytic function with and as:
By taking or , we obtain the well known classes and of the Ma and Minda types of starlike and convex function defined in [3]. Further, by choosing , the classes and reduce to and classes.
In the recent past, a large number of researchers have defined and studied several interesting subclasses of analytic and univalent functions by restricting in the general form of and . Here we highlight some of them:
- (i)
- Let . Geometrically, maps the open unit disc onto a domain whose center lies on the real axis and is also symmetric about the real axis. For function value , we get , the class of Janowski starlike functions; see [4].
- (ii)
- For the class was studied by Bano et al. [5], while for the function class was introduced and studied by Alotaibi et al. [6].
- (iii)
- For the class was defined and studied by Mendiratta [7].
- (iv)
- For the class reduces to , which was introduced and investigated by Cho et al. [8].
- (v)
- For , we obtain the class investigated by Wani and Swaminathan [9].
- (vi)
- For , the class was introduced and investigated by Kumar et al. [10].
- (vii)
- For the class reduces to ; see [11].
- (viii)
- For , we get investigated by Sokol et al. [12].
- (ix)
- For , the class becomes which was introduced by Khalil et al. [13]; see also [14].
By taking inspiration and motivation from above cited work, we introduce the following subclass of analytic functions.
Definition 1.
Let be given in (1). Then, if the following condition holds true:
Geometrically, the class contains all the functions that lie within the image domain of for a specified radius. It can be easily seen that the image of unit disc under has an appealing geometry which is symmetric about the real axis.
Let , and for given values of the Hankel determinant was defined in [15] as follows:
Finding the sharp upper bounds of Hankel determinants for different subfamilies and certain values of n and q has become the most attractive and important problem in the theory of analytic functions.
In [16], Hayman proved that for the best sharp inequality is
where . Similarly, Janteng et al. [17] estimated the sharp bounds for the second Hankel determinant for the classes of , and as:
In Babalola [18] calculated the upper bounds of for and . Later, many authors have estimated for different subfamilies of analytic functions, see [8,19] and the references cited therein. Zaprawa [20] amended Babalola’s [18] results and claimed that they are still not the best possible, and gives the estimated value as:
Furthermore, Kwon et al. [21] improved this bound as for . Furthermore, Zaprawa et al. [22] extend their work by estimating for . Working in a similar direction, the authors of [23,24,25,26] contributed by extending this work for various subfamilies of univalent functions. In the recent past, Arif et al. [27] calculated the sharpness of and the coefficient bounds for a subfamily of starlike functions related to sigmoid functions, while, Shi et al. [28] estimated the sharp third Hankel determinant for functions with bounded turning along with logarithmic coefficients connected to a petal-shaped domain, whereas Ponnusamy et al. [29] defined these logarithmic coefficients for the families of inverse, starlike and convex univalent functions. The coefficient estimates help us to study the area and arc length problems.
The main objective of this study is to determine the sharp bounds for the second and third Hankel determinants, as well as the sharp upper bounds of the coefficient inequalities for functions belonging to .
2. Set of Lemmas
Let denote the class of analytic functions p such that and
, and having the series of the form:
The following lemmas will be helpful in our subsequent work.
Lemma 1
and
Lemma 2.
Lemma 3
([30]). If is given by (6), then for and
we have
3. Main Results
Theorem 1.
Proof.
As is analytic in for all in . Then, by using the definition of subordination and (4), we have
where, is the Schwarz function. Let Then (17) becomes
which implies
It can be easily seen that
Theorem 2.
Proof.
If , then from Theorem 1, we have
which is equivalent to
Since we have
Theorem 3.
Let be given in (1). Then, if
Theorem 4.
Let Then, ξ is convex of order and , where
Proof.
It is sufficient to show that
As , from Theorem 1 and for some fixed we have
Theorem 5.
Let Then
The first two inequalities are sharp for , and the third inequality is sharp for
Proof.
As
which implies
From (1), we have
Let, then we have
This implies that
Then
Then, from Lemma 1 we have
□
Theorem 6.
Let then
The result is sharp for the function
Theorem 7.
Proof.
Using Lemma 2 we obtain
From , and using triangular inequality, we have
Consider
To find the maximum value of let
which implies
Putting we get
Now let
which implies
which shows that is the decreasing function, so the maximum value occurs at so (43) becomes
□
Theorem 8.
Proof.
and
From (5), we have
From Lemma 3, with we can simplify terms occurring in (45) as
Putting above values in (45), we have
Since it follows that
where
and are replaced with such that
where
with
To maximize the function in the cuboid, we need to discuss the maximum values of inside on the six faces as well as on edges of .
1. Interior points of the cuboid
First, we check the maximum value in the interior of the cuboid; for this, let and consider
for critical point in , which gives
since
In order to show the existence of the critical points, we must find solutions that meet the inequalities in (49) and (50). For this let and calculations show that , that is a decreasing function on , so
Simple calculation shows that inequality (49) does not hold true for which means in the interior of the cuboid, there are no critical points.
2. On the six faces of the cuboid
We will now examine the interior of each of the six faces of to find the maximum of .
On the face we have
for critical points, let
which indicates that has no optimum points in
On the face we have
On the face
For the critical point, let
putting gives
For the specified range of if .
Further gives
Now solving for , we get which shows that no optimal solution exists.
On the face
for critical points, let
Putting , we obtained , at which attains its maximum value, which is
On the face
for critical points inside let
and
Computation shows that these systems of equations and do not have a solution in .
On the face
Now, for the critical point, let
and
Computation indicates that the solution to the system of equation and does not exist in .
3. On the twelve edges of the cuboid
Now, to find the maximum of on the twelve edges of the cuboid
On and
putting gives the critical value , at which we have
On and
Differentiating “c”, we have
for all ; thus, the maximum occurs at
On and we obtain
Clearly, for , which shows that the function is increasing, so the maximum value occurs at
As the terms and are free from k, that is
Putting and solving, we obtained , at which attains its maximum value, which is
On and
On
On and
for critical points, and we get , at which the maximum value is
On and , we have
By checking , the maximum value occurs at which is
From all the computations, we conclude that
Hence, it follows from (46) that
□
4. Conclusions
In the present investigation, we studied a new subclass of analytic functions related to a bounded, symmetric domain. We focused our attention on deriving sharp coefficient bounds, second and third Hankel determinants and the radius problem for functions belonging to this class. This study can be extended to the classes of meromorphic and harmonic functions and can be related to q-calculus as well.
Author Contributions
Methodology, H.T.; Writing—original draft, A.A. (Adeel Ahmad) and A.R.; Writing—review and editing, A.A. (Asad Ali) and S.H.; Conceptualization, A.A. (Adeel Ahmad) and S.H.; Validation, S.N. All authors have read and agreed to the published version of the manuscript.
Funding
The following funding organizations provided assistance to the first author in this work: (i) the Natural Science Foundation of the People’s Republic of China under Grant 11561001 and the Natural Science Foundation of Inner Mongolia of the People’s Republic of China under Grant 2022MS01004; (ii) the program for young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region under Grant NJYT-18-A14 and the Higher School Foundation of Inner Mongolia of the People’s Republic of China under Grant NJZY22168 and (iii) the program for Key Laboratory Construction of Chifeng University (no. CFXYZD202004) and the Research and Innovation Team of Complex Analysis and Nonlinear Dynamic Systems of Chifeng University (no. cfxykycxtd202005).
Data Availability Statement
No data were used to support this study.
Acknowledgments
The authors would like to thank the editor and the anonymous reviewers for their constructive comments and suggestions, which helped us to improve the manuscript. This work was supported by the Deanship of Scientific Research, the Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia (Grant no. 4312).
Conflicts of Interest
The authors declare no conflict of interest.
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