Submitted:
30 July 2026
Posted:
30 July 2026
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Abstract
In this paper, we study coefficient problems in some subclasses of convex functions. More precisely, we determine the upper bounds of initial coefficients \( |a_i|(2\leq i\leq 6) \), Zalcman inequalities, the second and third Hankel determinants, the second-order Hankel determinant of logarithmic coefficients and the third Hankel determinant of inverse functions for the class \( \mathcal CL \). All of the bounds are sharp.
Keywords:
univalent functions
; Convex functions
; Hankel determinant
; Zalcman functional
; Schwarz function
MSC: 30C45; 30C50
1. Introduction
Let be the unit disk in complex plane. Let be the class of analytic functions of the form:
which are defined in the unit disk and normalized by . Let denote the class of all functions of that are univalent. A function is said to belong to the class of convex functions in , if it satisfies the following inequality:
In [1], Noonan and Thomas studied the Hankel determinants of functions of the form (1) for , which is defined by
For and , we yield
The estimation of and is tedious. Recently, many authors [2,3,4,5,6,7,8,9,10,11,12,13] obtained the sharp bounds of and for subclasses of analytic functions. At the end of 1960’s, Zalcman made a conjecture that each satisfies the inequality with equality for the Koebe function and its rotations. In [14], Ma proposed a generalized version of the Zalcman conjecture as follows: for and proved that this holds for starlike functions and univalent functions with real coefficients.
The logarithmic coefficients of function , can be written as
Differentiating (6), we achieve
Milin’s conjecture relies heavily on the logarithmic coefficients.
For has an inverse given by
From (8) and (5), we get
In 2022, Wang and his coauthors [13] introduced the following class of analytic functions:
In view of the class , we introduced and studied the following subclass of convex functions in
The sharp bounds of initial coefficients, the second and third Hankel determinants for the class were studied by Wang et al. [13]. The aim of this paper is to prove the sharp bounds of initial coefficients , the generalized Zalcman conjecture, the second and third Hankel determinants, the second Hankel determinant of logarithmic coefficients, and the third Hankel determinant of inverse functions for the class . All bounds are sharp.
Let denotes the class of Schwarz functions which are analytic in given by
and satisfying and . To derive our results, we shall need the following Lemmas:
Lemma 1.1 ([15]) If , then .
for some with
2. Zalcman Functionals and Hankel Determinant for the Class
Theorem 2.1 If , then
The results are the best possible.
Proof Let . Then there exists of the form (10) such that
From (1) we yield
Let
After computation, we yield
By (12) and (13), we have
From (14) and Lemma 1.1, we have
From (15) and Lemma 1.2, we yield
From (16), Lemma 1.3 and 1.2, we achieve
From (17) Lemma 1.4 and 1.2, we have
From (18) Lemma 1.5, Lemma 1.3 and 1.2, we achieve
By putting , we have
where
with and
The optimal points of satisfy the system of equations
Using numerical computations, we yield
Thus, there is no critical point in the interior of
(1) For
(2) For
(3) For
Therefore, we have
The bounds are sharp for the functions given by
□
Conjecture 2.2 If , then
Theorem 2.3 If , and , then
Proof From (14)–(15), Lemma 1.6, we achieve
□
Setting we acquire the following corollary.
Corollary 2.4 If , then
□
Theorem 2.5 If , then
The bound is sharp and is achieved by
Proof From From (14)–(16), Lemma 1.2 and 1.3, we get
□Theorem 2.6 If , then
The result is sharp and is achieved by .
Proof From (14), (16), (17), Lemma 1.4 and 1.2, we yield
□
Theorem 2.7 If , then
The bound is sharp for the function .
Proof From (15), (17), Lemma 1.2 and 1.4, we achieve
□
Theorem 2.8 If , then
The bound is sharp and is achieved by .
Proof From (14), (17) (18), Lemma 1.2 and 1.5, we achieve
Setting we yield
where
The optimal points of satisfy the system of equations
By utilizing numerical computations, we yield
Therefore, there is no optimal point in
(4) For
(5) For
(6) For
Thus, we get
□
Theorem 2.9 If , then
The result is sharp for .
Proof From (15), (16), (18), Lemma 1.1, 1.3 and 1.5, we obtain
Let then we have
where
The optimal points of satisfy the system of equations
By applying numerical computations, we yield
Thus, there is no optimal point in
(7) For
(8) For
(9) For
Therefore, we achieve
□
Conjecture 2.10 If , then
Theorem 2.11 If , then
The bound is sharp for functions given by (20).
Proof Let From (14)–(16) and Lemma 1.2, we have
□
Theorem 2.12 If , then
The bound is sharp for functions given by (21).
Proof Let From (15)–(17) and (4), we achieve
Using (24) and Lemma 1.7, we yield
Therefore, we yield
where
By setting and upon taking we achieve
where
with
We will maximize in the closed cuboid
Upon we yield
Taking for and
It is not difficult to see that in the cuboid
Differentiating with respect to , we achieve
In light of and
on we yield for all Thus, we have
Consider
By calculating, we have
Therefore, there are no optimal points in
(10) For
(11) For
(12) For
(13) For
Thus, we achieve
□
Theorem 2.13 If , then
The outcome is sharp for the function .
Proof Let . From (14)–(17) and (5), we yield
From Lemma 1.7 and (25), we obtain
Thus, we have
where
Setting , and upon taking we yield
where
In view of we have
Setting for and
Differentiating with respect to , we yield
Upon and
we have Therefore, we obtain
Consider
By calculating, we achieve
Therefore, there is no critical point in .
(14) For
(15) For
(16) For
(17) For
Thus, we have
□
3. The Second-Order Hankel Determinant of Logarithmic Coefficients for
Theorem 3.1 If , then
These sharpness are given by (19), (20), (21), (22) and (23), respectively.
Proof Let . From (14)–(18) and (7), we have
From (26), (27), Lemma 1.1 and 1.6, we have
From Lemma 1.2, 1.3 and (28), we obtain
From (29), Lemma 1.4 and 1.2, we yield
From (30)
Setting , we yield
where
Consider
Using numerical computations, we have
Thus, there are no critical points in the interior of
(18) For
(19) For
(20) For
Therefore, we get
□Theorem 3.2 If , then
The result is the best possible for the function .
Proof Let . From (26), (27) and (28), we have
From (31) and Lemma 1.7, we yield
By putting , and upon utilizing , we obtain
Differentiating with respect to ℵ, we yield
Thus, attains its maximum value at . Therefore, we achieve
□Theorem 3.3 If , then
The bound is sharp for the function .
Proof Let . From From (27), (28) and (29), we have
From (32) and Lemma 1.7, we have
Therefore, we achieve
where
Putting , and upon taking we have
where
In view of we yield
Setting for and
Differentiating with respect to , we achieve
Upon and
we have Thus, we get
Consider
By calculating, we achieve
Therefore, there is no critical point in .
(21) For
(22) For
(23) For
(24) For
Thus, we yield
□
4. The Third-Order Hankel Determinant of Inverse Functions for the Class
Theorem 4.1 If , then
The bound is sharp for the function .
Proof Let . From (14)–(17) and (9), we yield
From Lemma 1.7 and (33), we achieve
Thus, we achieve
where
By putting , and upon taking we yield
where
In view of we have
Setting for and
Differentiating with respect to , we achieve
Upon and
we get Therefore, we obtain
Consider
By calculating, we achieve
Therefore, there is no critical point in .
(25) For
(26) For
(27) For
(28) For
Thus, we yield
□
Author Contributions
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Acknowledgments
We thank the referees for their time and comments.
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