On sharp bounds of certain Close-to-Convex functions
Priyanka Goel, S. Sivaprasad Kumar

TL;DR
This paper establishes sharp bounds for initial inverse coefficients of specific close-to-convex functions, using a general formula for the fourth coefficient within the Carathéodory class, enhancing understanding of their coefficient constraints.
Contribution
It introduces a general formula for the fourth coefficient of Carathéodory functions and derives sharp bounds for inverse coefficients of certain close-to-convex functions.
Findings
Derived a general formula for the fourth coefficient.
Obtained sharp upper bounds for inverse coefficients.
Analyzed functions satisfying specific real part inequalities.
Abstract
We derive general formula for the fourth coefficient of the functions belonging to the Carath\'{e}odory class involving the parameters lying in the open unit disk. Further, we obtain sharp upper bounds of initial inverse coefficients for certain close-to-convex functions satisfying any one of the inequalities: and .
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Taxonomy
TopicsAnalytic and geometric function theory · Mathematical Inequalities and Applications
On sharp bounds of certain Close-to-Convex functions
Priyanka Goel
Department of Applied Mathematics, Delhi Technological University, Delhi–110042, India
and
S. Sivaprasad Kumar
Department of Applied Mathematics, Delhi Technological University, Delhi–110042, India
Abstract.
We derive general formula for the fourth coefficient of the functions belonging to the Carathéodory class involving the parameters lying in the open unit disk. Further, we obtain sharp upper bounds of initial inverse coefficients for certain close-to-convex functions satisfying any one of the inequalities: and .
Key words and phrases:
Inverse Coefficients, Close-to-convex functions, Univalent functions, Starlike functions
2010 Mathematics Subject Classification:
30C45,30C50, 30C80
The first author is supported by The Council of Scientific and Industrial Research(CSIR). Ref.No.:08/133(0018)/2017-EMR-I. The second author is supported by Delhi Technological University under the project with reference no. DTU/IRD/619/2019/2106.
1. Introduction
Let denote the class of functions of the form
[TABLE]
which are analytic in the open unit disk Let be a subclass of consisting of all univalent (one-to-one) functions in A function is said to be starlike if maps onto a domain which is starlike with respect to origin. The class of starlike functions in is denoted by and is analytically characterized as in . Similarly, a function is said to be convex if it maps onto a domain which is convex. The class of convex functions in is denoted by . We say that if and only if in Further, Alexander theorem establishes a two way passage between and namely, if and only if . A function defined on is said to be close-to-convex with respect to a starlike function and with argument if and the class of all such functions is denoted by . Let be the class of close-to-convex functions with respect to and be the class of close-to-convex functions with argument and are given by
[TABLE]
respectively. The class defined as
[TABLE]
denote the class of close-to-convex functions. Kaplan [6] proved that every close-to-convex function is univalent in In geometrical terms, it means that if , then the complement of the image of under is the union of non-intersecting half lines. Let denote the class of analytic functions of the form
[TABLE]
such that and this class is known as Carathéodory class. To prove our main results, we need the following results pertaining to the class :
Lemma 1.1**.**
[11, p.41]* If is in and is given by (1.2), then for each .*
Lemma 1.2**.**
[11]* Let and is given by (1.2). Then*
[TABLE]
This inequality is sharp for the functions given by
[TABLE]
* and *
Lemma 1.3**.**
[10]* Let and is given by (1.2). Then*
[TABLE]
and
[TABLE]
This result is sharp for the function
Lemma 1.4**.**
[3]* Let*
[TABLE]
If then
[TABLE]
If then
[TABLE]
where
[TABLE]
It may be noted that the function given by
[TABLE]
is a Carathéodary function if and , we make use of it to find the extremal functions needed for sharp bounds. Let the inverse of defined on a disk of radius at least has a series expansion of the form
[TABLE]
Since we have from (1.1)
[TABLE]
Comparing the coefficients on both sides of (1.6) after replacing the value of given in (1.5), we obtain the following relations:
[TABLE]
In 1982, Libera and Złotkiewicz [10] derived the bounds for the magnitude of the first seven inverse coefficients of the functions in Later in 1984, they estimated the bounds for first six inverse coefficients of the functions, whose derivative belongs to (see [9]). In 1989, Silverman estimated the bounds of the inverse coefficients for starlike functions (see [14]). Similar work has been carried out for various other classes such as class of starlike functions of positive order [7], spirallike functions [16], starlike functions represented by symmetric gap series [15] and strongly starlike functions [1]. In 1987, Jenkins [5] proved that any function in having integer coefficients is one of the following nine functions:
[TABLE]
Clearly by taking the class reduces to the class of functions whose derivative belongs to which was already considered in [9]. Also, the functions appearing in each of the pairs differs by the sign of the coefficients and thus does not affect the bounds. Therefore, in the present paper, we consider the following four subclasses of close-to-convex functions defined as:
[TABLE]
It is pertinent to mention here that Ponnusamy et al. [12] generalized the classes and to a class of harmonic close-to-convex functions defined on In [13], Kumar and Vasudevarao estimated the bounds of first three logarithmic coefficients of functions belonging to and We observe from the relations (1.7)-(1.10) that the inverse coefficients can be expressed in terms of ’s, which further can be represented in Carathéodory coefficients. The computation of the upper bound of requires parametric formulas for second and third Carathéodory coefficients. We know that the classes are not rotation invariant. Thus in order to avoid the assumption , we use the general formula for given by Cho et al. [2] as follows:
Lemma 1.5**.**
[2]* If is of the form then*
[TABLE]
for some
In view of the same, in the following section we derive the general formula for the fourth Carathéodory coefficient which is required for the estimation of the upper bound of
2. The fourth coefficient
In 2017, Kwon et al. [8] derived a formula for the coefficient so that it can be expressed in terms of and other general variables with the assumption However, the formulas for and were proved way back in 1982 by Libera and Złotkiewicz [10] with the same assumption. In 2018, Cho et al. [2] mentioned that the formula for cannot work for the classes which are not rotation invariant due to the assumption and hence gave a general formula for Now in the following result we prove the general formula for which will be useful for other coefficient problems for the classes that are not rotation invariant. We present two different methods of proof. Although, the first method is similar to the one given by Kwon et al. [8] but it involves tedious computations. The second one involves construction of the extremal function as done by Cho et al. in [2].
Lemma 2.1**.**
If is of the form then
[TABLE]
for some
Proof.
Using the fact that the Toeplitz determinants of the series of a function in are non-negative, we have
[TABLE]
which is equivalent to
[TABLE]
where is the determinant of the minor matrix of the ith entry in the first row in The above inequality can be further written as
[TABLE]
where is the determinant of the minor matrix of the jth entry in the first column in It is easy to verify that and So the inequality above reduces to
[TABLE]
We know that so we multiply both sides of the above inequality by and obtain
[TABLE]
Let us take
[TABLE]
which after substituting the values of ’s can be written as
[TABLE]
where
[TABLE]
Now let us take
[TABLE]
which can be further written as
[TABLE]
Using (2.3), (2.4) and (2.6), we can write (2) as
[TABLE]
Now we compute and in terms of ’s. By substituting the values of and given in Lemma 1.5 in (2.7) and (2.5), we respectively obtain
[TABLE]
and
[TABLE]
Since we have Therefore (2.8) yields
[TABLE]
which can further be written as
[TABLE]
Equivalently, we may write
[TABLE]
where For or we have and so for which the result follows obviously. Thus (2.1) follows for and ∎
Alternate Proof
Proof.
Continuing the proof of [2, Lemma 2.4], we can assume that . Now let us define
[TABLE]
Since the function is a self map of a function
[TABLE]
is a Schwarz function. By the Schwarz lemma,
[TABLE]
that is,
[TABLE]
We know that and therefore,
[TABLE]
On the other hand
[TABLE]
which implies that
[TABLE]
Also, comparing both sides of we get On substituting the values of ’s, we obtain the result. Moreover equality occurs when
[TABLE]
∎
In the next section, we find sharp upper bounds of the first five consecutive inverse coefficients for functions in each of the classes and . Although the fifth inverse coefficient bound obtained here was not sharp for functions in but the range in which the sharp bound lies is also pointed out.
3. Main Results
Let be given by (1.1) and belongs to . Then we have
[TABLE]
where is a starlike function defined as
[TABLE]
In view of (3.1), there exists , with power series representation given by (1.2), such that
[TABLE]
which implies
[TABLE]
Upon equating the like term coefficients on either side of (3.3), we get
[TABLE]
Using (3.4)-(3.7) in (1.7)-(1.10), we get the following ’s in terms of ’s and ’s:
[TABLE]
Applying triangle inequality in (3.8), we obtain
[TABLE]
In a similar way, using triangle inequality in (3.9) and applying Lemma.1.2, we get
[TABLE]
Let and such that and . Now, we rewrite (3.13) in terms of and as follows:
[TABLE]
Theorem 3.1**.**
Let . Then Further, if then These bounds are sharp.
Proof.
(i) Let . Since is close-to-convex function with respect to the starlike function , from (3.2) we have
[TABLE]
For , we have for all . Thus in view of Lemma 1.1, (3.12) reduces to
[TABLE]
We know that this inequality is sharp, whenever which is true for the function given in Lemma 1.2. The inequality is sharp since there exists an extremal function which is a solution of .
(ii) By taking in (3.14), we get
[TABLE]
which can be written as
[TABLE]
In the domain , we need to find the points where attains its maximum. A simple computation shows that there exists no solution of
[TABLE]
in . Thus, the maximum value of is not attained inside . Now, we consider the edges of in order to find the maximum of . On the line segment , On the line segment , which is an increasing function for Thus On the line segment , which further reduces into two cases. By using elementary calculus, we obtain that On the line segment , which is an increasing function for Thus Hence the maximum value of is attained at and is equal to . Thus The inequality is sharp since there exists an extremal function which is a solution of .
(iii) Upon substituting in (3.10), we get
[TABLE]
We have which together with (3.4) yields that Then by using Lemma 1.5, we have and
[TABLE]
for and Note that for and respectively,
[TABLE]
So now we consider Clearly from (3.16), we get
[TABLE]
where
[TABLE]
with
[TABLE]
Next we observe that for and we have
[TABLE]
and
[TABLE]
Case I. .
In view of the Lemma 1.4, we check for the inequality and observe that for the inequality holds and for Then by using Lemma 1.4, for we have A calculation shows that
[TABLE]
where
[TABLE]
Using elementary calculus, we find that in the interval attains its maximum at and thus For the case when
[TABLE]
where
[TABLE]
In the interval the maximum value of the function is attained at which further implies
Case II.
For this range of the inequality holds and thus by Lemma 1.4, we have
[TABLE]
where
[TABLE]
which is an increasing function and hence attains its maximum value at Hence
Case III.
For this range of and so now we check for another set of inequalities given in Lemma 1.4. We observe that when where and throughout the interval So we may conclude that
[TABLE]
and
[TABLE]
Hence for where is given by (3.19). Note that is increasing on this interval and attains is maximum at So On the other hand, when
[TABLE]
which is an increasing function of for the specified range of Therefore it attains its maximum value at which further implies that
Case IV.
In view of the Lemma 1.4, we find out that in this interval and for So we can say that
[TABLE]
where is given by (3.20). It is easy to verify that increases on the interval and so Next we observe that for and therefore
[TABLE]
where is given by (3.21). For increases and thus attains its maximum at Hence
Case V.
In this interval, we have and Thus as in this interval. So
[TABLE]
Clearly is increasing on and thus Summarizing the inequalities obtained in cases I-V and the bounds obtained in (3.17), we get The function obtained by solving (3.15) with in place of acts as an extremal function for the inequality and hence is sharp.
(iv) Upon substituting in (3.11), we get
[TABLE]
which can be written as
[TABLE]
where
[TABLE]
In view of Lemma 1.3, we have and Evidently
[TABLE]
Now, let us consider which can be again written in terms of and by using Lemma 1.5 as follows:
[TABLE]
Note that for and respectively
[TABLE]
Clearly, we may write (3.23) as
[TABLE]
where is given by (3.18) with
[TABLE]
Since we consider the first case of the Lemma 1.4 and find out that on Thus
[TABLE]
where
[TABLE]
Using elementary calculus, we find out that attains its maximum value at and thus Now applying triangle inequality on (3.22), we have
[TABLE]
The above inequality is sharp since there exists an extremal function which is a solution of . ∎
Theorem 3.2**.**
Let . Then Further if then Except rest all above bounds are sharp.
Proof.
(i) Let . Since is close-to-convex function with respect to the starlike function , we have
[TABLE]
If , then we have and . Thus, in view of Lemma 1.1, (3.12) reduces to
[TABLE]
We know that this inequality is sharp, whenever which is true for the function given in Lemma 1.2. The upper bound of is sharp since there exists an extremal function , which is the solution of .
(ii) By taking in (3.9), we get
[TABLE]
We have which together with (3.4) yields that Then by using Lemma 1.5, we have and
[TABLE]
Using the triangle inequality, we get
[TABLE]
For the sake of convenience, we shall take Now we have to find the maximum of whenever and . If , then attains its maximum value at . Further, if , then attains its maximum value at . Clearly at we have which obviously attains its maximum value at Hence and therefore The upper bound of is sharp since there exists an extremal function which is the solution of
(iii) Upon substituting in (3.10), we get
[TABLE]
We have which together with (3.4) yields that Then by using Lemma 1.5, we have and
[TABLE]
for and Note that for and respectively,
[TABLE]
So now we consider Clearly from (3.24), we get
[TABLE]
where is given by (3.18) with
[TABLE]
Let us set and Then we have
[TABLE]
and
[TABLE]
Since we are using the same method as used in Theorem 3.1(iii), we summarize the above three cases in the following table:
[TABLE]
Summing up all the cases mentioned in the above table and the bounds given by (3.25), we conclude that The function obtained by solving where is given by (1.4), acts as an extremal function for the inequality Hence the inequality qualifies to be sharp.
(iv) Upon substitution of , , and in (3.11), we get
[TABLE]
In view of Lemma 2.1 with and , we have
[TABLE]
Now applying triangle inequality, we get
[TABLE]
where
[TABLE]
Taking with such that and we may write
[TABLE]
Then
[TABLE]
It is sufficient to find the points in the rectangular cube , where the maximum value of is attained. In order to find maximum in the interior of , we try to find the points where
[TABLE]
After few steps of calculation, we find out that the above set of equations has no solution inside Now we are left with six faces namely, and twelve edges of given by In all these cases, we use elementary techniques to find maximum values and conclude that attains its maximum at the point and is equal to Next, let us write and in
[TABLE]
Again using the same method, we find the maximum of on the cuboid and observe that the maximum value is attained at , where is the smallest root of and . Hence From (3.26), (3.27) and (3.28), we obtain
[TABLE]
Hence . However, this bound is not sharp but we may conclude that the sharp bound lies in the range as there exists a function for which the fifth inverse coefficient is equal to The function can be obtained by solving , where and ∎
Theorem 3.3**.**
Let . Then Further, if then These bounds are sharp.
Proof.
(i) Let . Since is close-to-convex function with respect to the starlike function from (3.2) we have
[TABLE]
For , we have and . Thus, in view of Lemma 1.1, (3.12) reduces to
[TABLE]
We know that this inequality is sharp whenever which is true for the function defined in Lemma 1.2. The inequality is sharp since there exists an extremal function which is a solution of .
(ii) By taking and in (3.14), we get
[TABLE]
which can be written as
[TABLE]
In the domain , we need to find the points where attains its maximum. A simple computation shows that the only solution of
[TABLE]
in is (0,0). Thus, the maximum value of is not attained inside . Now, we consider the edges of to find the maximum of . On the line segment , On the line segment , which is a decreasing function of whenever and thus maximum value is attained at . Similarly, is an increasing function of whenever and thus maximum value is attained at . Now, we have and . Thus, On the line segment , which is a decreasing function of whenever Thus, On the line segment , which is an increasing function of whenever Thus, It is easy to note that maximum value of is attained at and is equal to . Thus The extremal function for which the upper bound of is sharp, can be obtained by solving (3.29) with in place of .
(iii) Upon substituting in (3.10), we get
[TABLE]
We have which together with (3.4) yields that Then by using Lemma 1.5, we have and
[TABLE]
for and Note that for and respectively,
[TABLE]
So now we consider Clearly from (3.30), we get
[TABLE]
where is given by (3.18) with
[TABLE]
Let us set and Then we have
[TABLE]
and
[TABLE]
Since we are using the same method as used in Theorem 3.1(iii), we summarize the above three cases in the following table:
[TABLE]
Summing up all the cases mentioned in the above table and the bounds given by (3.31), we conclude that The function obtained by solving acts as an extremal function for the inequality and hence the inequality becomes sharp.
(iv) Upon substituting and in (3.11), we get
[TABLE]
which can be written as
[TABLE]
where
[TABLE]
Using Lemma 1.3, we have and Evidently
[TABLE]
Now, let us consider which can be again written in terms of and by using Lemma 1.5 as follows:
[TABLE]
Note that for and respectively
[TABLE]
We may write (3.33) as
[TABLE]
where is given by (3.18) with
[TABLE]
Since we consider the first case of the Lemma 1.4 and find out that on Thus
[TABLE]
where
[TABLE]
Using elementary calculus, we find out that attains its maximum value at and thus Applying triangle inequality on (3.32), we have
[TABLE]
The inequality is sharp since there exists an extremal function which is a solution of . ∎
Theorem 3.4**.**
Let . Then Further, if then These bounds are sharp.
Proof.
(i) Let . Since is close-to-convex function with respect to the starlike function from (3.2) we have
[TABLE]
For , we have and . Thus, in view of Lemma 1.1, (3.12) reduces to
[TABLE]
We know that this inequality is sharp whenever which is true for the function defined in Lemma 1.2. The inequality is sharp since there exists an extremal function which is a solution of .
(ii) By taking and in (3.14), we get
[TABLE]
which can be written as
[TABLE]
In the domain , we need to find the points where attains its maximum. A simple computation shows that the only solution of
[TABLE]
in is (0,0). Thus, the maximum value of is not attained inside . Now, we consider the edges of to find the maximum of . On the line segment , On the line segment , which is an increasing function of and thus maximum value is attained at . Now, we have Thus, we have On the line segment , Using elementary calculus, we obtain that attains its maximum value at On the line segment , which is an increasing function of whenever Thus, It is easy to note that maximum value of is attained at and is equal to . Thus The extremal function for which the upper bound of is sharp, can be obtained by solving (3.34) with in place of .
(iii) Upon substituting in (3.10), we get
[TABLE]
We have which together with (3.4) yields that Then by using Lemma 1.5, we have and
[TABLE]
for and Note that for and respectively,
[TABLE]
So now we consider Clearly from (3.35), we get
[TABLE]
where is given by (3.18) with
[TABLE]
Let us set and Then we have
[TABLE]
and
[TABLE]
Since we are using the same method as used in Theorem 3.1(iii), we summarize the above three cases in the following table:
[TABLE]
Summing up all the cases mentioned in the above table and the bounds given by (3.36), we conclude that The function obtained by solving acts as an extremal function for the inequality and hence the inequality becomes sharp.
(iv) Upon substituting and in (3.11), we get
[TABLE]
which can be written as
[TABLE]
where
[TABLE]
Using Lemma 1.3, we have and It can be easily noted that
[TABLE]
Now, let us consider which can be again written in terms of and by using Lemma 1.5 as follows:
[TABLE]
Note that for and respectively
[TABLE]
It is clear that (3.38) can be written as
[TABLE]
where is given by (3.18) with
[TABLE]
Since we consider the first case of the Lemma 1.4 and find out that on Thus
[TABLE]
where
[TABLE]
Using elementary calculus, we find out that attains its maximum value at and thus Applying triangle inequality on (3.37), we have
[TABLE]
The inequality is sharp since there exists an extremal function which is a solution of . ∎
4. Concluding Remarks
Finding the initial coefficient bounds of functions belonging to a chosen class is a usual phenomenon but attracts special attention if some computational intricacies are resolved in achieving sharp results. Further, the method or technique underuse matters a lot for further investigations in such problems. In the present work, the estimation of sharp bound for the fourth inverse coefficient gives rise to a maximization problem involving two complex and one real variable, which are eliminated using the maximization technique given by Choi et al. [3] and used by many other authors. On the other hand, for the fifth inverse coefficient, we obtain an expression involving four variables. The fifth inverse coefficient’s sharp bound is mostly determined by splitting the expression and using the suitable Carathéodary coefficient bounds results and the maximization method mentioned in the above technique. Thus, the bounds obtained with this technique are all sharp except the fifth inverse coefficient for functions in To overcome this, we derived a general formula of the fourth Carathéodary coefficient, but by using it, we could only improve the earlier bound, obtained by the previous technique used in other cases, for the fifth coefficient of functions in . Further, we found the range in which the sharp fifth inverse coefficient bound falls for functions in ; however, locating the sharp bound is still open.
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