Abstract
One of the challenging tasks in the study of function theory is how to obtain sharp estimates of coefficients that appear in the Taylor–Maclaurin series of analytic univalent functions, and for obtaining these bounds, researchers used the concepts of Carathéodory functions. Among these coefficient-related problems, the problem of the third-order Hankel determinant sharp bound is the most difficult one. The aim of the present study is to determine the sharp bound of the Hankel determinant of third order by using the methodology of the aforementioned Carathéodory function family. Further, we also study some other coefficient-related problems, such as the Fekete–Szegő inequality and the second-order Hankel determinant. We examine these results for the family of bounded turning functions linked with a cardioid-shaped domain.
MSC:
30C45; 30C50
1. Introduction and Definitions
To fully comprehend the fundamental notions used in our new research, we must revisit certain introductory principles. For this purpose, we consider the open unit disc denoted by and use the symbol to represent the family of analytic functions normalized by This normalization ensures that if , then g possesses the Taylor’s series expansion
Further, recall that an analytic function is univalent in the region if it takes no value more than once in That is, g being univalent in means mathematically that if for Therefore, using the notation , we refer to the family of univalent functions characterized by the series expansion given in Equation (1). This family was originally introduced by Köebe in 1907. In 2012, Aleman and Constantin [1] established an astonishing connection between fluid dynamics and univalent function theory. They actually provided a simple method that shows how to use a univalent harmonic map for finding explicit solutions to incompressible two-dimensional Euler equations. It has several implications in a variety of applied scientific disciplines, including modern mathematical physics, fluid dynamics, nonlinear integrable system theory, and the theory of partial differential equations.
In 1916, Bieberbach [2] proposed the famous “Bieberbach conjecture” in function theory, stating that if (the family of univalent functions with the series expansion as in Equation (1)), then for all . He proved this for , and subsequent researchers, including Löwner [3], Garabedian and Schiffer [4], Pederson and Schiffer [5], and Pederson [6], confirmed it for and , respectively. However, settling the conjecture for remained elusive until 1985 when de-Branges [7] used hypergeometric functions to prove it for every . During the period between 1916 and 1985, various subfamilies of were introduced, such as starlike (), convex (), close-to-convex (), and bounded turning functions (), and more subclasses were contributed by recent researchers [8,9,10,11,12,13]. Among these subfamilies, the family of starlike functions was established in [14] and characterized by the condition , where , which maps the open unit disk onto a region bounded by the cardioid equation given as .
It is simple to conclude from the above description of the family that
for some By substituting in (2), we achieve the function
and it serves as the extremal function in a number of -family problems. Applying the function given in (2) we now consider the below subfamily of analytic functions
The determinant , where , is known as the Hankel determinant and was contributed by Pommerenke [15,16]. It is formed by the coefficients of the function and is defined as:
Numerous applications, notably those on power series with integral coefficients by Polya ([17], p. 323) and Cantor [18] and singularities by Hadamard ([17], p. 329) and Edrei [19], highlight the significance of this determinant. There are relatively few publications in the literature that give the bounds of the Hankel determinant for functions of general class . The best estimate for was determined by Hayman in [20] and is , where is a constant. Additionally, for , it was shown in [21] that the second-order Hankel determinant for . The two determinants and have been extensively studied in the literature for various subfamilies of univalent functions. The work done by the authors [22,23,24,25,26,27,28], where they determined sharp bounds for the second determinant, is particularly noteworthy. For further exploration of this determinant, refer to the articles [29,30,31,32,33,34].
The most challenging problem to study is the below third-order determinant, especially in finding sharp bounds for this determinant.
Although there are several papers on the investigation of non-sharp bounds of this determinant, we cite here a few of them. See [35,36,37,38]. In fact, Babalola was the very first person to study the bounds of this third-order determinant for and families in a paper [39] that surfaced in 2010. Subsequently, employing an innovative methodology, Zaprawa [40] further advanced Babalola’s 2017 findings by establishing the subsequent bounds:
Additionally, it is worth noting that Zaprawa emphasized the potential for enhancing the aforementioned bounds, as they may not represent the optimal limits, as stated by Babalola.
Following that, scientists worked hard to prove sharp bounds (which cannot be improved further) for these inequalities, and some of them [41,42] were successful in obtaining improved bounds for the class . The sharp bounds of this determinant were finally obtained for classes and in the articles [43,44,45], respectively. These sharp bounds are
By employing similar techniques, Khalil Ullah et al. [46] and Lecko et al. [47] derived the sharp bounds for when considering functions belonging to the families and , respectively. Additionally, the works of authors [48,49,50,51,52,53] proved sharp bounds for the third-order Hankel determinant in various novel subfamilies of univalent functions. In the present work, we consider a family of bounded turning functions related to the cardioid-shaped domain. Using the approach of the aforementioned Carathéodory function family, we calculate the sharp bound of the third-order Hankel determinant for functions belonging to the family . The Fekete–Szegő inequality and the second-order Hankel determinant are a couple of the other coefficient-related problems that we study here in this article.
2. A Set of Lemmas
Let represent the class of all functions p that are analytic in with and also has the series representation
The core of our proof lies in the following lemma, which encompasses the well-known formula for (see [54]), the formula for derived by Libera and Zlotkiewicz [55,56], and the formula for contributed by the authors [57].
Lemma 1.
Let and be given by (6) Then, for some complex valued x with and some complex valued with
Lemma 2.
For any expressed in the form (6), and considering , we have the inequality
Furthermore, if and satisfies , then the following holds:
These inequalities, (10) and (11), are extracted from references [56,58].
3. Hankel Determinant Problem for
Theorem 1.
If g has the form (1) and belongs to Then
This outcome is precise and cannot be further enhanced.
Proof.
Consider . Utilizing the Schwarz function , we readily express
Furthermore, let , which can be represented in terms of the Schwarz function as follows:
Alternatively, the expression for can be written as:
From (1) we have
By employing the series expansion of (12) and performing straightforward calculations, we obtain the following expression:
Comparing (13) and (14), we obtain
From (15) and (16), we easily get
By rearranging, it yields
Application of (10) leads us to
and after simplification, we get the required result.
Equality is obtained by using coefficients in the below function
□
Theorem 2.
If g has the form (1) and belongs to Then
This inequality stands as its optimal form, with no potential for further enhancement.
Proof.
Employing (15)–(17) we obtain
From (11) we have
and
Then, by using along with the triangle inequality, we obtain
This inequality attains its optimal state and is realized by
□
Theorem 3.
For g in , the second Hankel determinant is given by:
The above bound is the best possible.
Proof.
From (15)–(17) we have
Using Equations (7) and (8) to express and in terms of (noting that we can assume without loss of generality that with ), we obtain the following expression:
where we used the triangle inequality and replaced and with and . Thus, we have:
With a simple exercise, we can show that on , so . Setting gives:
Since is a decreasing function and attains its maximum value at :
The bound of second Hankel determinant is best possible and is achieved by using the coefficients of the function
□
Theorem 4.
For an f that is an element of and follows the structure presented in (1), we have:
This outcome represents the optimal condition for this result.
Proof.
Using (16)–(18) along with we get
Let in Equations (7)–(9). Now, using these formulae, we obtain
Substituting the above expressions in (19) we have
Since
where , and
By using and utilizing the fact we obtain
where
with
We now aim to maximize within the closed cuboid
To achieve this, we must consider the maximum values of in the interior of , within the interior of its six faces, and on its twelve edges.
- Interior points of cuboid :
Let Differentiating partially with respect to y, we obtain:
Setting we find:
If is a critical point inside , then which is only possible if:
and
Now, we need to find the solutions that satisfy both inequalities (21) and (22) for the existence of critical points.
Let Since in is decreasing over Hence, and a calculation shows that the Equation (21) is satisfied for and
Subsequently, we establish that in the region . For values of x less than , we have , thereby allowing us to express the following inequalities:
Hence, we obtain:
At this point, we examine the derivatives:
and:
Given that for , it follows that for . Consequently, is a decreasing function, resulting in:
Thus, we deduce:
It is easy to see that takes its maximum value at Thus, we have:
Hence, . Therefore, W does not have an optimal solution in the interior of
- 2.
- Interior of all the six faces of cuboid :
- (i)
- On the face becomes:
Differentiating partially with respect to we have:
Thus, has no critical point in the interval
- (ii)
- On the face takes the form:
- (iii)
- On the face yields:
Differentiating partially with respect to we have:
Setting we obtain:
For the given range of should belong to which is possible only if In addition, the derivative of partially with respect to c is:
Plugging the value of y in (23) and setting we obtain:
A calculation gives the solution of (24) in the interval , which is Thus, has no optimal point in the interval
- (iv)
- On the face becomes:
Then:
Setting we get at which achieves its maximum, which is Hence:
- (v)
- On the face reduces to
Now differentiating partially with respect to then with respect to x, we have
and
A numerical calculation shows that the solution does not exist for the system of Equations (25) and (26) in
- (vi)
- On the face after some simplification becomes
Partial derivative of with respect to c and then with respect to x, we have
and
As in the above case, we deduce the same result for the face that is, that the system of Equations (27) and (28) does not have a solution in
- 3.
- On the Edges of Cuboid :
- (i)
- Along the edges and , the function yields:
Upon differentiating with respect to we have:
Setting gives at which achieved its maximum which is . Thus,
- (ii)
- simplifies to as shown below:
Hence, the derivative is:
Given that in the interval , decreases within this interval. Thus, the maximum is attained at , resulting in . Consequently,
- (iii)
- On the edge and then becomes:
Since in Thus, is increasing in and hence maxima is achieved at Therefore, . Thus, we have
- (iv)
- On the edges and
Since is independent of we have:
The derivative is:
Setting gives at which achieved its maximum. Therefore, . Hence,
- (v)
- At the boundary where and , the function assumes the expression:
This leads to the conclusion that:
- (vi)
- At the boundary where , the function evaluates to:
Considering that remains unaffected by variations in x and y, it follows that:
- (vii)
- On the edge and then reduces to
Then,
Since in Thus, is decreasing in and hence maxima is achieved at Therefore, . Thus, we have
- (viii)
- When and , the function transforms into:
The derivative is:
putting we get the critical point at which achieved its maximum. Therefore, . Hence
From the preceding cases, it is evident that:
Applying (20), we can express:
In the scenario where , the tight bound for this Hankel determinant is achieved by:
with the corresponding extremal function
□
Next, we will enhance the precision of the third-order Hankel determinant for functions belonging to the class
Theorem 5.
If g is a member of the class, then the magnitude of the third Hankel determinant is bounded by
This bound is achieved with optimal precision.
Proof.
The third Hankel determinant can be written as
Putting (15)–(18) with , we get
Let in Lemmas (7)–(9). Now using these formulae, we obtain
Substituting the above expressions in (29) we have
Since
where , and
By using and utilizing the fact we obtain
where
with
Now, we have to maximize in the closed cuboid
To address this, we need to examine the maximum values of within the confines of , encompassing its interior, six faces, and twelve edges.
- 1.
- Interior points of cuboid :
Let and differentiate partially with respect to y, we obtain
Putting we get
If is a critical point inside then which is possible only if
and
We must now determine the solutions that simultaneously satisfy the inequalities (31) and (32) to establish the existence of critical points.
Let As in so, is decreasing over Hence, and a simple exercise shows that (31) does not hold in this case for all values of and there is no critical point of in
- 2.
- Interior of all the six faces of cuboid :
- (i)
- On the face becomes
Differentiate partially with respect to we have
Thus, has no critical point in the interval
- (ii)
- On the face takes the form
Thus
- (iii)
- On the face yields
Differentiate partially with respect to we have
Putting and we obtain
For the given range of should belong to which is possible only if In addition, the derivative of partially with respect to c is
Plugging the value of y in (33) and setting we obtain
A calculation gives the solution of (34) in the interval that is . Thus has no optimal point in the interval
- (iv)
- On the face becomes
Then
Setting we get at which achieved its maximum which is . Hence,
- (v)
- On the face reduces to
Now, differentiating partially with respect to then with respect to x, we have
and
A numerical computation shows that the solution does not exist for the system of Equations (35) and (36) in
- (vi)
- On the face after some simplification becomes
Partial derivative of with respect to c and then with respect to x, we have
and
As in the above case, we deduce the same result for the face that is, that the system of Equations (37) and (38) has no solution in
- 3.
- On the edges of cuboid :
- (i)
- On the edge and then yields
Differentiating with respect to we have
Setting gives at which gets its maximum which is . Thus
- (ii)
- On the edge and then reduce to given below
Then
Since in Thus, is decreasing in and hence maxima is achieved at Therefore . Thus, we have
- (iii)
- On the edge and then becomes
Since in Thus, is increasing in and hence maxima is achieved at Therefore, . Thus, we have
- (iv)
- On the edges and
Since is free of therefore
Then
Setting gives at which achieved its maximum. Therefore . Hence
- (v)
- On the edge and then takes the form
Hence we have
- (vi)
- On the edge then yields
is independent of x and therefore
Thus
- (vii)
- On the edge and then reduces to
Then
Since in Thus is decreasing in and hence, the maximum is achieved at Therefore . Thus we have
- (viii)
- On the edge and then becomes
Then,
Upon setting , we obtain the critical point at which achieved its maximum. Therefore, . Hence
Thus, based on the aforementioned cases, we can conclude that
From (30), we can write
For the sharp bound for the Hankel determinant is obtained as follows:
and this bound is achieved by the extremal function:
□
4. Conclusions
The main idea behind investigating coefficient problems in various families of analytic functions is to express the coefficients of these functions using the well-known class of Carathéodory functions in the open unit disk. Recent applications of this approach have yielded several interesting results. However, many of the obtained bounds were non-sharp for analytic univalent functions associated with different image domains. In this study, we determined sharp estimates of coefficient-related problems for functions belonging to the family of bounded turning functions related to the cardioid domain. Most of the derived bounds are proven to be sharp. This study could act as an inspiration for further investigations into the sharp bounds of analytic functions associated with novel image domains. In addition, using the same methodology, one can investigate the bounds of higher-order Hankel determinants as studied in the articles [59,60,61,62,63,64,65,66].
Author Contributions
Conceptualization, I.A.-S.; Methodology, M.I.F.; Validation, M.I.F.; Formal analysis, M.A. (Muhammad Abbas); Investigation, I.A.-S. and R.K.A.; Resources, M.A. (Muhammad Arif) and M.A. (Muhammad Abbas); Writing—original draft, I.A.-S.; Writing—review & editing, M.A. (Muhammad Arif); Funding acquisition, R.K.A. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported by King Saud University (Supporting Project number RSPD2023R802), Riyadh, Saudi Arabia.
Data Availability Statement
No data were used to support this study.
Acknowledgments
The authors would like to extend their sincere appreciation to Supporting Project number (RSPD2023R802) King Saud University, Riyadh, Saudi Arabia.
Conflicts of Interest
The authors declare no conflict of interest.
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