Abstract
In this paper, we create a new subclass of convex functions given with tangent functions applying the combination of Babalola operators and Binomial series. Moreover, we obtain several important geometric results, including sharp coefficient bounds, sharp Fekete–Szego inequality, Kruskal inequality, and growth and distortion estimates. Furthermore, for functions with logarithmic coefficients, we compute sharp Fekete–Szego inequality and sharp coefficient bounds.
Keywords:
convex functions; convolution; tangent function; Kruskal inequality; logarithmic coefficients; binomial series; Babalola operator MSC:
30C45
1. Introduction
Let represent the family of analytic functions as follows:
and be a class of all functions belonging to which are univalent functions.
If and Υ are analytic functions in , then is subordinate to Υ, written if there exists an analytic Schwarz function in with and for all such that Furthermore, if the function is univalent in then we have
Furthermore, let the function be given by
The Hadamard product or convolution of and is given by
The function is a convex function of order , such that
Babalola [] defined the operator as
where
and is
For then (4) is equivalent to
Making use of the binomial series,
In 2022, El-Deeb and Lupas [] introduced the linear differential operator as follows:
where
and
From (5), we obtain that
The integrated families of starlike and convex functions were developed in 1985 by Padmanabhan et al. [], utilizing the theory of convolution along with the function , where . By taking a regular function with and Shanmugam [] expanded on the concept of [] and introduced the functions class as
By taking or , we derive the famous classes and of Ma- and Minda-type starlike and convex functions defined by []. Further, by choosing , these classes reduce to and .
By choice in the generic form of and , numerous scholars have defined and investigated a variety of intriguing subclasses of analytic and univalent functions in the recent past. Here are a few of them highlighted:
Let . Then is the class of Janowski starlike functions; see []. For the class was studied by Bano et al. [], whereas for the function class was introduced and studied by Alotaibi et al. []. For the class was defined and studied by Mendiratta []; see []. For the class reduces to ; it was presented and examined by Cho et al. []. For , the family was established and studied by Kumar et al. []; for more details, see []. For the class reduces to ; see [,,]. The class for was established by Khalil et al. []; see [].
Taking motivation and inspiration from the work mentioned above, we present the following subfamily of holomorphic functions.
Definition 1.
Geometrically, the family includes all the functions that the image domain of for a specified radius.
2. Set of Lemmas
We use the following lemmas in our results.
Let stand for the family of all holomorphic functions p that have a positive real portion and be represented by the following series:
Lemma 1
([]). If , then the following estimations hold:
and
and for , we have
Lemma 2
Lemma 3
([]). Let , and satisfy the inequalities and
Lemma 4
([]). Let and x and ζ belong to Ω; then, we have
where and are studied in [].
The current study attempts to determine the necessary and sufficient conditions, the radius of convexity, growth and distortion estimates, the Kruskal inequality, sharp coefficient bounds, sharp Fekete–Szego inequality, and logarithmic coefficient estimates for the subclass of class associated with tangent functions.
3. Main Results
Theorem 1.
Proof.
As is analytic in so for all in then by using the definition of subordination and (9), we have
where is a Schwarz function. Let Then, (17) becomes
which implies
It can be easily seen that
and
Theorem 2.
Let . Then, if
Proof.
Since we have
Theorem 3.
Let be given in (1). Then, if
Theorem 4.
Let Then, is convex of order and , where
4. Growth and Distortion Estimates
Theorem 5.
Let and . Then,
Proof.
Consider
Since for and we have
Similarly,
Now, from (23) it is implied
Since
we obtain
one can easily write this as
and placing this value in (32) and (33), the necessary inequality is obtained. □
Theorem 6.
Let and . Then,
Proof.
Consider
Since for and we have
Similarly,
Now, from (23) it is implied that
Since
we obtain
we have
setting this value in (34) and (35), we thus accomplish what is needed. □
Theorem 7.
For the coefficient bounds are
and
The above outcomes (36), (37), (38), and (39) are sharp for functions given below, respectively:
and the bound (40) is extreme for the function defined in (42).
Proof.
As then by the definition
which can be written as
where is Schwarz function with properties that
Now, let
and
Comparing (45) and (46), we have
Then, by applying (11) to (47), we have
Furthermore, applying (12) with to (48), we obtain
For Equation (49), applying Lemma 2, we obtain
and from (50), we have
Now, from (47) and (48), we have
Furthermore, applying (13) to the above relation, we achieve our goals. □
Theorem 8.
Let then
The outcome is sharp for the function defined in (43).
Proof.
From (47)–(49), we have
applying Lemma 2, we achieve the intended outcomes. □
5. Kruskal Inequality
Here, we will provide direct evidence of the inequality
over the class for the choice of , and for . For a class of univalent functions as a whole, Kruskal introduced and demonstrated this inequality in []. For some recent investigations on Kruskal inequality, we refer the readers to see [,].
Theorem 9.
If then
The outcome is sharp for the function defined in (43).
Proof.
From (47) and (49), we have
by applying Lemma 2, we obtain
□
Theorem 10.
If then
The outcome is sharp for the function defined in (44).
Proof.
From (47) and (50), we have
□
6. Logarithmic Coefficients for the Family
The logarithmic coefficients of , denoted by are defined by the following series expansion:
For the function , given by (5), the logarithmic coefficients are as follows:
Theorem 11.
If has the form (1) and belongs to then
The bounds of Theorem 11 are precise and cannot be improved further.
Proof.
Now, from (51)–(54) and (47)–(50), we obtain
From (56) and using (12), we obtain
Applying Lemma 2 to Equation (57), we obtain
Furthermore, using Lemma 3 to (58) we obtain
Proof for sharpness: since
it follows that these inequalities are obtained for the functions for , and 4 defined in (41)–(44). □
Theorem 12.
Let Then, for complex number we have
The result is the best possible.
Proof.
From (55) and (56), we have
Applying (13) to the preceding equation yields the desired outcome. □
Theorem 13.
If then
The outcome is extremal.
Proof.
From (55)–(57), we have
applying Lemma 2, we achieve the intended outcomes. □
7. Conclusions
In the present investigation, we investigated a new subclass of holomorphic convex functions associated with tangent functions. We focused our attention on deriving necessary and sufficient conditions based on the convolution operator, radius of convexity, growth and distortion approximation, sharp initial four coefficient bounds, sharp Fekete–Szegö approximation, and sharp Kruskal inequality for functions belonging to this class. Hopefully, this work will open new directions for research in GFT and related areas.
Author Contributions
Conceptualization S.M.E.-D.; Methodology, L.-I.C.; Formal analysis, S.M.E.-D. and L.-I.C.; Investigation, S.M.E.-D. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
No new data were created or analyzed in this study.
Conflicts of Interest
The authors declare no competing interests
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