Abstract
The present study introduces a new family of analytic functions by utilizing the q-derivative operator and the q-version of the hyperbolic tangent function. We find certain inequalities, including the coefficient bounds, second Hankel determinants, and Fekete–Szegö inequalities, for this novel family of bi-univalent functions. It is worthy of note that almost all the results are sharp, and their corresponding extremal functions are presented. In addition, some special cases are demonstrated to show the validity of our findings.
Keywords:
bi-univalent functions; q-fractional derivative; q-analogue of the hyperbolic tangent function; Hankel determinant; bounded turning functions; Fekete–Szegö inequality MSC:
30C45; 30C50; 30C80; 11B65; 47B38
1. Introduction and Preliminaries
In 1915, Alexander [] introduced the first integral operator, this discovery played a crucial role in the examination of analytical functions. Since then, the main goal of current discovery in complex analysis (Geometric Function Theory) has revolved around this area, encompassing fractional derivative operators and derivatives that are often combined in various ways [,]. Recently published research, exemplified by [], highlights the significance of integral fractional and differential operators in research.
Exciting advancements in the field of analytical functions and fractional calculus have emerged from different perspectives, including quantum calculus, which have proved useful in diverse areas of physics and mathematics. In a comprehensive review and survey study, Srivastava [] highlights the intriguing real-world ramifications of utilizing these operator applications. Their uses in the axially symmetric potential theory, automated control, scattering theory, signal analysis, quantum mechanics, and absorption of radio waves in the ionospheric space environment and aeronomy [,] are also well known.
The versatility of q-calculus is evidenced by its numerous applications across disciplines such as quantum group theory, analytic number theory, special polynomials, fractional calculus, and numerical analysis. As a result, the expansive domain of fractional calculus has captured the attention of both mathematicians and physicists. The combination of analytical function theory with fractional calculus has led to the formulation of various mathematical models that employ fractional differential equations. These equations often compete with nonlinear differential equations as viable models in many contexts [,,,].
Consider an analytic function denoted by , which is defined within the open unit disk . Such functions belong to a class denoted as . Any function f belonging to can be represented by the following series form:
The symbol denotes the collection of univalent functions that adhere to the normalization conditions
An analytic function w that satisfies the conditions and in E is referred to as the Schwarz function. Letting , we say f is subordinate to g, written as , if and only if there exists a Schwarz function w such that for all .
The class refers to the Carathéodory functions described by Miller [], which meet the conditions: , and for all . These functions are known as the Carathéodory function.
Every polynomial function belonging to the set can be accurately represented using a Taylor series expansion in the specific format of
In other words, we say , if and only if
In the realm of geometric function theory (GFT), significant novel subclasses of analytic functions have been constructed and explored, with a strong reliance on the principles of q-calculus. Credited with inaugurating q-calculus in 1909, Jackson [,] introduced the initial definitions of q-integrals and q-derivatives, marking a pivotal moment for this mathematical discipline. Jackson’s contributions extend beyond these foundational concepts. In addition to suggesting the q-calculus operator and the q-difference operator (), many q-special functions have been put forward. The q-calculus finds applications in diverse mathematical and scientific domains, including number theory, fundamental hypergeometric functions, physics, relativity, cybernetics, data analysis, and combinatorial mathematics.
Definition 1.
([,]).The q-fractional derivative (denoted by ) of the function is defined as
The q-fractional derivative operator is applicable as the value of q approaches 1. Remarkably, as q approaches 1, the reduces to the classical derivative. For more details and recent applications of the q-fractional derivative, we refer the readers to [,,,,,,] and the references therein.
Even though function theory was first introduced in 1851, Bieberbach’s [] conjecture in 1916 unveiled this topic and provided a fresh line of inquiry. De-Branges [] validated the Bieberbach conjecture in 1985. A number of renowned scholars have made significant findings in this realm of mathematics, uncovering several novel subsets within the class of normalized univalent functions that are linked with diverse geometrical characterizations.
In 1992, Ma and Minda [] authored a notable and influential paper, which presented a remarkable contribution to the field, introducing a comprehensive definition for the subclasses of univalent functions as follows:
where is an analytic function with the requirements , in E and is symmetric with respect to the real axis and starlike with respect to . Supposing we take in (5), we then have the family of starlike functions, which is given as follows:
Recently, a class of starlike functions,
was introduced and studied by Swarup in [].
Each function f belonging to the set and defined by Equation (1) possesses a corresponding inverse function denoted as . This inverse function is determined through the utilization of the q-differential operator and q-version of the hyperbolic tangent function.
and
where
A widely accepted truth is that a function is classified as a bi-univalent function in E if both and its inverse function are separately univalent in E and , respectively. The collection of all these bi-univalent functions in E is denoted as and has undergone thorough examination, accompanied by historical context and examples given in [,].
In the year 2016, Srivastava et al. [] introduced a category of analytic and bi-univalent functions, defined in the subsequent manner:
and
and obtained some interesting results. In 2018, Yousef et al. [] introduced a subclass of analytic and bi-univalent functions by means of Chebyshev polynomials, which is defined below:
and
Mahzoon and Kargar [] (2020) investigated the class
and some relevant results are presented in the article. In 2022, Lasode and Opoola [] presented a category using the q-derivative, which is denoted as . This category comprised analytic and univalent functions and was defined as follows:
In 2023, a recent development by Swarup [] involves the utilization of the q-version of the hyperbolic tangent function along with a Salagean q-differential operator. This innovation led to the introduction of a fresh category of q-starlike functions, defined in the subsequent manner:
The inspiration for introducing this new category of analytic and bi-univalent functions originated from the previously mentioned classes. Notably, the relationship between bi-univalent functions and the q-version of the hyperbolic tangent function remains largely unexplored in existing research. Previous studies have predominantly concentrated on analyzing the interplay between analytic functions and the q-version of the hyperbolic tangent function, as evidenced in the work of Swarup in 2023.
Furthermore, we were motivated to extend the analytic class of functions related to the q-version of the hyperbolic tangent function to bi-univalent functions since it has not been in the literature so far, which will also open up more research problems in the area of bi-univalent and analytic functions by generalizing the following newly defined class with some q-operators in Geometric Function Theory and also look into some other interesting properties.
The q-bi-univalent functions are used to study many interesting properties of the holomorphic functions. The main driving force behind our current research is the discovery of several distinctive and advantageous applications for q-derivatives in GFT (Geometric Function Theory). All those areas of applicable mathematics in which we deal with the complex transformations, such as robotics, computer added design (CAD) and computational geometry, demonstrate the applicability of q-bi-univalent functions. Specifically, we focus on exploring the bi-univalent function linked with the q-analogue of the tanh function, an area that has not yet been explored in the existing literature. In particular, the inspiration behind introducing this innovative class stems from the referenced articles [,,,,]. Mustafa and Semra [] introduced and studied a subclass of bi-univalent functions on the open unit disk in the complex plane. They also investigated similar problems as those studied in []. They also investigated the upper bound estimate for the second Hankel determinant and Fekete–Szegö inequality for the function belonging to this class. However, none of them or any other researcher has ever explored this dimension of the research. Furthermore, in a bid to push forward the ideas initially presented by Swarup in [], we present a fresh subcategory involving analytic and bi-univalent functions. These functions are defined through q-derivatives and their connection to the q-analogue of the tanh function.
Definition 2.
We consider a function such that
and
Thus, we have
Remark 1.
The class is not empty. At least, the functions defined by (10)–(12) are univalent due to being extremal functions of the class of univalent functions. They all exist in the class . To show this, we proceed as follows.
Comparing (16) and (17), we can clearly see that they are equal; therefore, we can say that satisfies the first part of Definition 2.
Now, we check if satisfies the second part of the definition. Hence, we are going to find the inverse of (16) to get the L.H.S of the second part of Definition 2, which is . Let
which implies
Substituting and into (19), we have
for the R.H.S of (9) when . The inverse of follows the same solving process as the L.H.S of (9), since (16) and (17) are equal. That is
Remark 2.
The class , which satisfies the following criterion, is obtained by setting in the preceding definition.
and
where and is given in (7).
Remark 3.
The class , which satisfies the following criterion, is obtained by setting and in the preceding definition.
and
where and is given in (7).
Remark 4.
The class , which satisfies the following criterion, is obtained by setting , and in the preceding definition.
and
where and is given in (7).
This lemma plays a crucial role in establishing the validity of our main results.
Lemma 1
([,]). Let represent the collection of all analytic functions given in (3) such that is analytic in the region and has a real part greater than zero for all ϑ in that region. Additionally, the function satisfies the condition . We then have the following mathematical statement:
“For any natural number k, the absolute value of the coefficient in the above representation of is always less than or equal to 2. Furthermore, this inequality is the best possible choice for any value of k”.
Lemma 2
([,]). Let represent the collection of all analytic functions s given in (3) subject to the conditions: , , and .
Then, we have the following two equations:
Here, e and ϑ are complex numbers satisfying and .
Lemma 3
([,]). The Toeplitz determinants are satisfied if and only if
Given that , each of the power series composed of non-negative terms mentioned in Equation (3) converges within the region to a function denoted as s, which belongs to the class . With the exception of the specific case given by
If all pairs of variables, represented by and , are distinct (meaning is not equal to for any k and j combination), then all other situations will have positive values. Furthermore, in this specific situation, will be greater than zero when k is less than , and will be equal to zero when k is greater than or equal to n.
Notation 1.
Given that s belongs to the set , we can affirm that is non-negative, and it holds true that , as mentioned in Lemma 3. This results in and let be a non-negative value such that . Consequently, we can deduce that , and falls within the range of . Based on these observations, we will proceed with the assumption that for , which is the first coefficient in (3).
2. Coefficients Bound Estimates
Theorem 1.
Let . Then,
where
The result obtained here are sharp.
Proof.
Suppose f belongs to the class . In this case, there exist analytic functions m and v defined on E such that , and , meets the aforementioned requirements:
and
The functions are defined as follows:
and
The Equations (28) and (29) produce expressions for variables of the same degree, namely , , and , after performing specified operations and simplifications on their left-hand sides.
and
The first outcome of the theorem is obvious from this and Lemma 1.
Furthermore,
Moreover, after deducting the Equation labeled as (33) from Equation (30), and taking into account the equalities denoted as (34) and (35), we arrive at the subsequent outcome:
Now, Lemma 2 says that because , we can write
and
There exist values for e, w, , and such that their absolute values are less than or equal to 1. Specifically, , , , and .
Keep in mind that we can write for if we accept . In other words, we can just suppose that . In such a situation, we can express the inequality for as
by using a triangle inequality and the settings and .
The function is hereby defined in the following manner:
Maximizing the function within the closed square is essential.
The function reaches its highest value at the edges of the square X that encloses it. By employing the parameter to derive the function , we obtain the following.
Since is non-negative, the function increases as increases and attains its highest value when is equal to 1.
for every belonging to the interval from 0 to 1, and for every c belonging to the interval from 0 to 2.
Upon taking the derivative of the function , we obtain the following result.
Because of the non-negativity of , the function becomes increasingly larger as increases and achieves its highest value when . Consequently,
where .
Then, we get
Since , we have
where
Let us now determine the function maximum value, which is defined as follows:
in the interval of .
Moreover, upon taking the derivative of the function with respect to c, we obtain , where c belongs to the interval . It is known that when . This indicates that the function is decreasing, and its maximum value is achieved when . Thus, we have
Furthermore, if , then . The function is increasing, and its maximum value is achieved at . On the other hand, if we set , the function becomes a decreasing function, and its maximum value still occurs at . Hence, we can conclude that
As a result, we have derived the maximum possible value for , as indicated in the following:
For each , we must now maximize the function on X.
As the coefficients , , and of the function rely on the parameter c, examining the highest value of the function is essential across various values of c. Let , since ,
Furthermore, we get
So, we have
Let . Then, since and
The following function is a constant.
It is simple to demonstrate that the function cannot reach its maximum value on the given set X when c belongs to the interval . As a result, we obtain the following.
□
From Theorem 1, we get the following findings for specific parameter values.
Corollary 1.
If belongs to the class of functions denoted as , then
The outcomes achieved here are precise.
3. The Fekete–Szegö Inequality and the Second Hankel Determinant
Theorem 2.
Let . Then,
where
The results obtained here are sharp.
Proof.
With the aid of equalities (37) and (38), the triangle inequality, and considering the assumptions where the absolute value of is denoted as c, the absolute value of e is denoted as , and the absolute value of is denoted as , we can make an approximation for
where
We now define the function as follows:
for every pair of values that belong to the interval and every value of c within the range of , it is possible to find the maximum of the function over the domain X.
It is necessary to examine the highest value for different parameter values of c because the coefficients , , and of the function depend on the parameter c.
- Let . Since andthe function written as followsThe maximum value of the function is achieved at the edges of the enclosed square X, which is clearly observable.Now, by using some techniques of differentiation on the function with respect to , we getThe function is a monotonically increasing function concerning and reaches its peak value when equals 1, as indicated by . Therefore, the following relationship holds:After employing the methods of differentiation to the function , the result is as follows:Because the derivative of D with respect to at is positive (), the function is monotonically increasing, and its maximum value is attained when . Consequently,Thus, for , we haveSince , we have
- Now, setting , for andthe function is a constant, as followsHence, we havein the case of .
- Given that c lies in the open interval between 0 and 2, our objective is to analyze the maximum value of the function . This analysis will consider the sign of some variables.The equationis visible to us. We now consider two examples of the sign .
- (a)
- Let for the interval . For this instance, since and , basic calculus dictates that the function cannot achieve a maximum within the boundaries of the square
- (b)
- Additionally, suppose there exists a value c in the interval (0, 2) such that . Under this condition, where , the function cannot attain a maximum within the square region .
As a result of these three instances, we write
Therefore, the proof of Theorem 2 is now finished. □
Based on the specific parameter values, the following discoveries are obtained from Theorem 2.
Corollary 2.
Let . Then,
The results are sharp.
Corollary 3.
Let . Then,
The results are sharp.
Now, we will present the theorem related to the Fekete–Szegö inequality.
Theorem 3.
Let , . Then,
where
The results obtained here are sharp.
Proof.
If , , and applying triangle inequality to (40), we can then solve for the upper bound of , as follows:
for every value of c belonging to the interval .
The function can be defined now as .
for each . We have to check now that the function on X for each is maximized.
The highest value of the function is clearly achieved at the boundaries of the enclosed square X.
Therefore, through straightforward differentiation of the function with respect to , we obtain
As is greater than zero, the function shows a positive correlation with , leading to an increase as increases. The maximum value of this function is attained when ,
for each and .
Furthermore, by applying differentiation on , we have
for each .
If the condition is met, the function will exhibit a rising trend, and its maximum value will be attained at . Therefore,
Thus, we get
Since , we get
where
Now, it is the right time to determine the maximum value of the function over the interval in the real number set.
By applying the principle of differentiation on the function , we get
Supposing and the maximum occurs at , then the function is a decreasing function since
Given that , the function is monotonically increasing. When and the maximum of the function is at , then
We consequently arrive at
The outcome obtained in this case is sharp for . □
From Theorem 3, we get the following findings for specific parameter values.
Corollary 4.
Let , . Then,
where
The results obtained here are sharp.
Corollary 5.
Let , . Then,
The results obtained here are sharp.
Theorem 3 is stated as follows for the condition .
Theorem 4.
Let , . Then,
where
Proof.
Let f belong to the class of functions denoted by , and let be a real number. When is a real number, the inequalities and are equivalent to the following conditions:
The theorem’s conclusion is obtained from Theorem 3. □
Using the parameter , we have the following corollary:
Corollary 6.
Let . Then,
When is set to zero, the subsequent corollary can be stated as follows:
Corollary 7.
Let . Then,
where
From Theorem 4, we get the following findings for specific parameter values.
Corollary 8.
Let , . Then,
where
4. Conclusions
To summarize, this study presents a fresh type of analytic functions called the q-calculus operator, defined through the utilization of the q-derivative operator and the q-version of the hyperbolic tangent function. The primary goals of this research involve computing coefficients, second Hankel determinants, and Fekete–Szegö estimates for this newly defined group of functions. Furthermore, the study seeks to investigate the upper bounds that determine the inclusion of functions in this newly established category.
Author Contributions
Conceptualization, T.G.S.; Methodology, T.G.S.; Software, F.T.; Validation, S.A. and J.-S.R.; Formal analysis, S.A., B.O.A. and S.Z.; Investigation, T.G.S.; Resources, S.Z.; Data curation, J.-S.R.; Writing—original draft, B.O.A.; Writing—review & editing, S.Z.; Visualization, B.O.A. and S.Z.; Supervision, S.A. and B.O.A.; Project administration, F.T.; Funding acquisition, J.-S.R. and F.T. All authors have read and agreed to the published version of the manuscript.
Funding
No external funding is received.
Data Availability Statement
No data is used in this work.
Acknowledgments
1. This research was supported by the researchers Supporting Project Number (RSP2023R401), King Saud University, Riyadh, Saudi Arabia. 2. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2022R1A2C2004874). 3. This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20214000000280).
Conflicts of Interest
The authors declare no conflict of interest.
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