Abstract
In our present study, two subclasses of starlike functions which are symmetric about the origin are considered. These two classes are defined with the use of the sigmoid function and the trigonometric function, respectively. We estimate the first four initial logarithmic coefficients, the Zalcman functional, the Fekete–Szegö functional, and the bounds of second-order Hankel determinants with logarithmic coefficients for the first class and improve the obtained estimate of the existing second-order Hankel determinant of logarithmic coefficients for the second class . All the bounds that we obtain in this article are proven to be sharp.
1. Introduction, Definitions and Preliminaries
To aid readers in interpreting the basics used throughout our reporting of these important results, certain fundamental knowledge from function theory is included here, starting with the letters and , which stand for the normalized univalent (or Schlicht) functions class and the normalized holomorphic (or analytic) functions class, respectively. The subsequent set builder representations in the region of the open unit disc present these fundamental notions:
where shows the class of holomorphic functions, and
A stunning interplay between univalent function theory and fluid dynamics has recently been shown by Aleman and Constantin [1]. In fact, they showed a straightforward technique for using a univalent harmonic map to obtain explicit solutions of incompressible two-dimensional Euler equations.
The formula below provides the logarithmic coefficients of
These coefficients have a considerable impact on the theory of Schlicht functions in many estimations. In 1985, de Branges [2] deduced that, for
and equality is achieved if g has the form for some . It is evident that this inequality yields the most general version of the well-established Bieberbach–Robertson–Milin conjectures involving Taylor coefficients of g belonging to . For further details on the explanation of de Brange’s assertion, see [3,4,5]. By taking into consideration the logarithmic coefficients, in 2005 Kayumov [6] was able to resolve Brennan’s conjecture for conformal mappings. We include a few studies here that have made major contributions to the investigation of logarithmic coefficients [7,8,9,10,11,12,13,14,15].
From the definition provided above, it is not challenging to calculate that, for g belonging to , its logarithmic coefficients are provided by
It is quite clear that the geometric interpretations of an analytic function depend on the bounds of the coefficients that appear in its Taylor series form. This is why researchers have shown keen interest in studying coefficient-related problems for various analytic functions in recent years. Among these problems, the Hankel determinant for and ,
created by Pommerenke [16,17] is perhaps the most challenging problem in this field, in particular the determination of the sharp bounds. Here, we cite several recent works on Hankel determinants of different orders in which the authors investigated sharp bounds for different subclasses of univalent functions; see [18,19,20,21,22,23,24,25,26,27,28,29,30].
In recent times, Kowalczyk and Lecko [31,32] have offered analyses of the Hankel determinant , the members of which are logarithmic coefficients of g, that is,
It has been noted that
In the present paper, our main focus is on finding the sharp upper bounds of logarithmic coefficient-related problems, including the Zalcman functional and Fekete–Szegö functional, along with (8) and (9) for the subclass of starlike functions established by Kumar and Goel [33], which is stated as
In addition, for the following defined class introduced by Cho et al. [34], we improve the obtained estimate of the existing second-order Hankel determinant of logarithmic coefficients:
where "≺" denotes the familiar subordination between analytic functions.
2. A Set of Lemmas
Here, we include the facts that are incorporated into our main problems. First, we define the class shown below.
The following Lemma consists of the widely used formula [35], the formula [36], and the formula illustrated in [37].
Lemma 1.
Lemma 2
Lemma 3.
Lemma 4
([40]). Let and ς satify the inequalities and
3. Logarithmic Coefficient Inequalities for the Class
In this section, we study problems involving coefficients for the class . The bound of the most difficult problem of the third-order Hankel determinant is under consideration here for this class as well. We begin by proving the sharp bounds of the initial coefficient of .
Theorem 1.
The above inequalities are sharp.
Proof.
From the definition of the class along with subordination principal, there is a Schwarz function such that
Assuming that , by writing q in terms of the Schwarz function we have
which is equivalent to
Using (1), we can easily obtain
From the series expansion of (17), we have
Now, reshuffling (22), we obtain
Applying (16), we obtain
From (23), we can deduce that
From (14), let
It is clear that , and
Thus, all the conditions of Lemma 2 are satisfied. Hence, we have
From (24), we can deduce that
It follows that , and
and
Thus, all the conditions of Lemma 4 are satisfied. Hence, we have
The required inequalities are sharp and the equality is determined from (2)–(5) along with consideration of a function
Thus, we have
□
Theorem 2.
Thus, the Fekete–Szegö functional is the best possible.
Theorem 3.
This inequality is the best possible.
Proof.
From (14), let
It is clear that , and
Thus, all the conditions of Lemma 2 are satisfied. Hence, we have
□
Theorem 4.
The Zalcman functional is sharp.
4. Second Hankel Determinant with Logarithmic Coefficients for Class
Theorem 5.
This inequality is the best possible.
Proof.
The determinant can be reconfigured as follows:
By replacing and where , and using triangle inequality while taking , we have
Now, differentiating with respect to we have
It is a simple exercise to show that on , thus, If , we have
Clearly, ; thus, it follows that is a decreasing function. Hence, achieves its maximum value at We can see that
□
Theorem 6.
The inequality is sharp.
Proof.
The determinant is described as follows:
Inserting the above formulae into (27), we obtain
Because
where and
Let and By taking we achieve
where
with
Now, we have to maximize in the closed cuboid
For this, we have to discuss the maximum values of in the interior of in the interior of its six faces, and on its twelve edges.
1. Interior points of cuboid
Let By taking a partial derivative of with respect to y, we obtain
Setting yields
If is a critical point inside then which is possible only if
and
For the existence of the critical points, we have to obtain the solutions which satisfy both inequalities (29) and (30).
As , it is not hard to show that (29) does not hold true in this case for all values of Thus, there is no critical point of that exists in
2. Interior of all the six faces of cuboid
(i) On face yields
Taking the partial derivative with respect to we obtain
However, Thus, has no critical point in the interval
(ii) On face reduces to
(iii) On face is equivalent to
Taking the derivative of partially with respect to we have
Again, taking derivative of partially with respect to c, we have
A numerical calculation shows that the system of equations
has no solution in Hence, has no optimal point in the interval
(iv) On face takes the form
Clearly,
By solving we can find that the only critical point in is , at which achieves its maximum value, provided by
(v) On face becomes
Taking the derivative partially with respect to x and then simplifying, with respect to c we have
and
Thus, after a few basic calculations we can find that the system of equations has no solution
in the interval . Hence, has no optimal solution in the interval
(vi) On face yields
Taking the partial derivative of with respect to x, with respect to c we have
and
As in the above case, we can obtain the same result for face that is, that there is no existing solution for the system of equations
in the interval
3. On the Edges of Cuboid
(i) On edge and reduces to
By simple computation, it follows that achieves its maximum value at , provided by
(ii) On edge and is equivalent to
Clearly,
We can see that in shows that is decreasing over Thus, achieves its maximum at Hence,
(iii) On edge and reduces to
Note that in follows increasing over Thus, achieve its maxima at , and we have
(iv) As we can see that is independent of we have
Taking the derivative with respect to we obtain
By setting , we obtain the critical point at which achieves its maximum value, that is,
(v) On edge and yields
(vi) On edge takes the form
As is independent of x and we have
(vii) On edge and is equivalent to
It is clear that
Note that in , therefore, is decreasing in Hence, achieves its maximum at which is provided by
(viii) On edge and becomes
Clearly,
We know that provides the critical point at which achieves its maximum value. Thus, we have
Hence, from the above cases we can deduce that
From (28), we have
□
5. Second Hankel Determinant with Logarithmic Coefficients for the Class
Theorem 7.
The inequality is sharp.
Proof.
From the definition of the class along with the subordination principal, there is a Schwarz function such that
Assuming that , by writing q in terms of the Schwarz function we have
which is equivalent to
Using (1) we can easily obtain
From the series expansion of (31), we have
The determinant is described as follows:
Inserting the above formulae into (39), we obtain
Because
where and
Let and Taking we obtain
where
with
Now, we have to maximize in the closed cuboid
For this, we have to discuss the maximum values of in the interior of in the interior of its six faces, and on its twelve edges.
1. Interior points of cuboid
Let By taking a partial derivative of with respect to y, we obtain
Setting yields
If is a critical point inside then which is possible only if
and
For the existence of the critical points, we have to obtain the solutions which satisfy both inequalities (41) and (42).
As , it is not hard to show that (41) does not hold true in this case for all values of Thus, there is no critical point of in
2. Interior of all six faces of cuboid
(i) On face yields
Taking the partial derivative with respect to we obtain
However, . Hence, has no critical point in the interval
(ii) On face reduces to
(iii) On face is equivalent to
Taking the derivative of partially with respect to we have
Again, taking the derivative of partially with respect to c, we have
A numerical calculation shows that the system of equations
has no solution in Hence, has no optimal point in the interval
(iv) On face takes the form
Clearly,
By solving , we can find that the only critical point in is , at which achieves its maximum value, which is provided by
Now, using (40) along with the last obtained value, we can conclude that
(v) On face becomes
Taking the derivative partially with respect to x and then simplifying, with respect to c we have
and
Thus, after a few basic calculations we can find that the system of equations has no solution
in the interval . Hence, has no optimal solution in the interval
(vi) On face yields
Taking the partial derivative of with respect to x, with respect to c we have
and
As in the above case, we can obtain the same result for face that is, that there is no existing solution for the system of equations
in the interval
3. On the Edges of Cuboid
(i) On edge and reduces to
Clearly, the function achieves its maximum value at , as provided by
(ii) On edge and is equivalent to
Clearly,
We can see that in shows that is decreasing over Thus, achieves its maxima at Hence,
(iii) On edge and reduces to
Note that from in it follows that is increasing over Thus, achieves its maxima at Thus, we have
(iv) As we can see that is independent of we have
Taking the derivative with respect to we have
Setting , we obtain the critical point at which achieves its maximum value, which is provided by
(v) On the edge and yields
(vi) On edge takes the form
As is independent of x and we have
(vii) On edge and is equivalent to
It is clear that
Note that in ; therefore, is decreasing in Hence, achieves its maxima at which is provided by
(viii) On edge and becomes
Clearly,
We know that yields the critical point at which achieve its maximum value. Thus, we have
Hence, from the above cases we can deduce that
From (40), we have
□
6. Conclusions
Calculating the third-order Hankel determinant sharp bound is a challenging task in spite of the extensive literature on the Hankel determinants in the area of geometric function theory. In the present article, two subfamilies of starlike functions connected to special functions are taken into consideration. For the stated classes, we achieve sharp bounds on the coefficient-related problems. In particular, by transforming the third Hankel determinant to a real function with three variables defined on a cuboid, we determine the exact bound of the third Hankel determinant with logarithmic coefficient entries. This makes it easier to comprehend the additional geometric characteristics of these function classes. By upgrading the current methodologies, it could be feasible to obtain more results for other univalent or analytic function subfamilies.
Author Contributions
Researchers S.E.-D., M.A. (Muhammad Arif), I.A. and M.A. (Muhammad Abbas) came up with the concept for the current study. Professor P.S. checked the data and provided several recommendations that significantly improved the current publication. Each author has read the final manuscript and made contributions. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no specific funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
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