On sharp third Hankel determinant for certain starlike functions
Neha Verma
Department of Applied Mathematics, Delhi Technological University, Delhi–110042, India
nehaverma1480@gmail.com and S. Sivaprasad Kumar
Department of Applied Mathematics, Delhi Technological University, Delhi–110042, India
spkumar@dce.ac.in
Abstract.
In this paper, we provide an estimation for the sharp bound of the third Hankel determinant of starlike functions of order , where ranges in the interval and thereby extending the result of Rath et al. (Complex Anal Oper Theory: No. 65, 16(5), 8 pp 2022).
Key words and phrases:
Starlike, Sharp, Hankel determinant, Order alpha
2010 Mathematics Subject Classification:
30C45, 30C50
1. Introduction
Consider the set , which comprises normalized analytic functions defined on the open unit disk . These functions are expressed in the form:
(1.1)
Let , where represents the class of univalent functions, and denotes the collection of analytic functions defined on with a positive real part, expressed as .
Let and are two analytic functions, then we say is subordinated to , denoted as , provided there exist a Schwarz function , adhering to two crucial conditions: and , such that .
In the year 1936, Robertson [15] introduced the class of starlike functions of order , characterized as follows:
Definition 1.1.
[15]
For , we say that a function is starlike of order if and only if
The class of all such functions is represented by .
In 1992, Ma and Minda [13] introduced a more general class of starlike functions through subordination, defined as follows:
where is an analytic univalent function such that , is symmetric about the real axis and starlike with respect to with . Through this concept, we can re-define the class as:
Note that and for some depending upon the choice of .
The Bieberbach conjecture, as documented on [4, Page no. 17], has been a significant source of inspiration in the development of univalent function theory and in the formulation of coefficient problems. Building on this foundation, in 1966, Pommerenke [14] introduced the concept of Hankel determinants, denoted as , where and are both natural numbers, associated with analytic functions as in (1.1), defined as follows:
(1.2)
By choosing specific values for both and , we can examine particular cases of this concept. For instance, when we set , we obtain the expression for the second-order Hankel determinant. Numerous studies have investigated and established sharp bounds for second-order Hankel determinants and other determinants within various subclasses of , see [8, 7, 5] for more details. Now, if we choose and in (1.2), assuming , we arrive at the expression for the Hankel determinant of order three, given by
(1.3)
Determining the third-order Hankel determinant poses a greater challenge compared to the second-order, as evidenced in [22, 9]. We also list some of the sharp estimates for the third-order Hankel determinant concerning functions within the class , considering various selections of in Table 1. However, the sharp estimate of for is yet to be estimated.
Table 1. List of sharp third order Hankel determinants
For the class , Krishna and Ramreddy [7] computed the bound of the second order Hankel determinant, , while Xu and Fang [21] calculated the sharp bounds of the Fekete and Szegö functional , and . We refer [3] for further information on Hankel determinants associated with the class .
The purpose of this study is to establish the sharp bound of third order Hankel determinant for functions belonging to the class, . At the end of this paper, we demonstrate the validation of our main result by considering the class specifically for the case when , and we also present some relevant applications.
1.1. Preliminary
In this part of the section, we mention the initial coefficient bounds in terms of the Carathéodory coefficients and a lemma which will be used in our forthcoming results.
Let , then a Schwarz function exists such that
(1.4)
Let and . The expressions of are obtained in terms of by substituting , , and in equation (1.4) with suitable comparison of coefficients so that
(1.5)
(1.6)
(1.7)
and
(1.8)
The formula for , which plays a significant role in finding the sharp bound of the Hankel determinant and has been prominently exploited in the main theorem, is contained in the Lemma 1.2 below.
Recently, Kowalczyk et al. [6] and Banga and Kumar [2] obtained the sharp bound of the third-order Hankel determinant for functions in the class , independently whereas Rath et al. [18] determined the sharp bound of for functions in the class and corrected the proof provided in [11]. In this section, we extend our analysis to calculate the sharp bound of for functions in the class for some additional range of . Below, is our main result.
Theorem 2.1.
Let . Then
(2.1)
This result is sharp.
Proof.
Since, the class is invariant under rotation, we have and assume . The expressions of from equations (1.5)-(1.8) are substituted in equation (1.3). We get
After simplifying the calculations through Lemma 1.2, we obtain
Here
Assume , and since the above expression reduces to
where
(2.2)
with
Note that for , all the factors involving in , , and , are positive as is the smallest positive root of the equation . We maximise within the closed cuboid , by finding the maximum values in the interior of , in the interior of the six faces and on the twelve edges.
Case I: We begin with every interior point of assuming . We determine
to examine the points of maxima in the interior of . Thus
Now, gives
The existence of critical points require that and can only exist when
(2.3)
We try finding the solution satisfying the inequality (2.3) for the critical points. The possible range for which , is . Here
where
Therefore, a calculation reveals that the maxima attained in the interior of at each such is always less than for .
Case II: The interior of six faces of the cuboid , is now under consideration, for the further calculations.
On , turns into
(2.4)
Since
Thus, has no critical point in .
On , reduces to
(2.5)
On , becomes
(2.6)
with and . On solving and , to find the points of maxima. After resolving we get
(2.7)
Upon calculations, we observe that to have for the given range of , (see Fig. 1) is needed with . This is the smallest positive root of and no such exists when . It is to be noted that the expression of is complex but the coefficient of its imaginary part for is highly negative (of order , which can be neglected and can be treated as a real number.
Here,
with
and
Based on computations, gives
(2.8)
After substituting equation (2.7) into equation (2.8), we have
(2.9)
A numerical calculation suggests that the solution of (2.9) in the interval is whenever , where is the smallest positive root of , otherwise no such exists, see Fig. 1. Thus, does not have any critical point in .
Here
with
and
Figure 1. Graphical representation of versus . Here, (Red) and (blue) do not intersect for any choice of . Dashed black line represents .
On , reduces into
(2.10)
While computing , for , comes out to be the critical point, where is the smallest positive root of and (see Fig. 2) is the largest value so that otherwise no such real exists beyond this .
Here
(2.11)
Undergoing simple calculations, achieves its maximum value, approximately equals , at .
Here
(2.12)
Figure 2. Graphical representation of versus . Here, (green) and (red) represent the value of at different , where (blue circle) is the point at which transforms from completely real to imaginary. Dashed black line represents .
On , can be seen as
Furthermore, through some calculations, such as
and
indicates that there does not exist any common solution for the system of equations and , thus, has no critical points in .
On , reduces to
We note that the equations and possess no common solution in
Case III:
Now, we determine the maximum values that may obtain on the edges of the cuboid .
From equation (2.6), we have
Here, we consider the following three subcases for different choices of .
(1)
For , reduces to and for , the point of minima and , the point of maxima. Therefore
(2)
For , .
(3)
For
for and as the points of minima and maxima respectively. So,
with .
Now, equation (2.6) at implies that Note that is a decreasing function in and hence becomes the point of maxima. Thus
Through calculations, equation (2.6) shows that attains its maximum value at which implies that
Now, when and for ,
as the points of minima and maxima respectively, in the interval . The justification of , and are provided above through equation (2.11) and (2.12). Thus, from equation (2.10),
Using equation (2.4), Upon calculations, we see that is a decreasing function of in and therefore is the point of maxima. Hence
On again using equation (2.4), Moreover, when Observe that increases in and decreases in Hence,
We also provide a graphical representation of six upper-bounds (u.b) of in Fig. 3. Given all the cases, the sharp inequality , holds for every .
Figure 3. Graph of six upper-bounds (u.b) versus . The upper-bounds (u.b) of are (red), (green), (blue), (black), (pink) and (cyan) for .
Let the function , be defined as
with and , plays the role of an extremal function for the inequality presented in equation (2.1) with and . ∎
Now, we provide remarks which incorporate the bound of for the class and , which are subclasses of , given as follows:
Remark 2.2.
On substituting in Theorem 2.1, and from equation (2.1), we get . This bound is sharp and coincides with that of Kowalczyk et al.[6] and Banga and Kumar [2].
Remark 2.3.
On substituting in Theorem 2.1, and from equation (2.1), we get . This bound is sharp and coincides with that of Rath et al.[18].
For some already known sharp bounds of , regarding various choices of , See Table 1. We note that the same bound is not available for . Hence, as an application of Theorem 2.1, we provide a better bound of for functions belonging to the class, .
We note that as tends to . Now, substitution of in equation (2.1) implies that .
∎
Open Problem: We have attempted to provide the sharp bound of for functions, for in Theorem 2.1. Further, this result is still open for the remaining range of in .
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