Abstract
In this paper, we consider a subclass of normalized analytic functions associated with the hyperbolic secant function. We compute the sharp bounds on third- and fourth-order Hermitian–Toeplitz determinants for functions in this class. Moreover, we determine the bounds on second- and third-order Hankel determinants, as well as on the generalized Zalcman conjecture. We examine a Briot–Bouquet-type differential subordination involving the Bernardi integral operator. Finally, we obtain a univalent solution to the Briot–Bouquet differential equation, and discuss the majorization property for such function classes.
Keywords:
Briot–Bouquet differential subordination; Hermitian–Toeplitz and Hankel determinants; hyperbolic secant function; starlike functions; majorization MSC:
30C45; 30C50
1. Introduction and Preliminaries
The hyperbolic secant function is an entire univalent function as well as a periodic function with respect to the imaginary part of . The function is used in various fields of mathematics and science to describe the shape of certain curves. It occurs in the solutions of differential equations, cubic equations, quantum mechanics, the design of digital filters, and in the applications of signal processing. For instance, an analytic expression for a notch filter was established by using the hyperbolic secant function, and the proposed filter was compared with some common windows used in signal processing [1]. The hyperbolic secant function also occurs in statistics and probability theory, where it is used to define the hyperbolic secant distribution, which is a continuous probability distribution. In [2], the alpha-skew hyperbolic secant distribution was demonstrated, and the cumulative distribution function, non-central moments, skewness, kurtosis, moment-generating function, and characteristic function were determined for this new skewed distribution, defined by the hyperbolic secant distribution. For more details on the hyperbolic secant function and its applications, we refer readers to [3] and the references therein.
There are various geometric properties of the analytic functions, such as convexity, starlikeness, univalency, close-to-convexity, subordination inclusions and the bounds of coefficients’ functionals. These geometric properties are useful for analyzing the behavior of analytic functions; therefore, several applications of such functions in various areas can be determined. In this sequel, it is observed that the Hermitian–Toeplitz determinants play a central role in the study of random matrices, which are used to model complex systems in physics, statistics, and other fields. The Hankel determinant is also a special type of determinant that arises from a matrix whose elements are arranged in a Hankel pattern, meaning that the matrix is constructed by taking a sequence of numbers and placing them in diagonal lines such that each diagonal has constant values. The Hankel determinant is often used to study and analyze the Fibonacci sequence or the Lucas sequence. It can be used to calculate the generating function of a sequence and its behavior as the sequence grows. It appears in the theory of orthogonal polynomials, which are polynomials that are orthogonal with respect to some weight function. The Hermitian–Toeplitz determinant of order is given by such that for and for , where are initial coefficients of the analytic functions. In a similar way, the Hankel determinant of the order is given as , where . Hence,
and
In 1975, Louis Zalcman proposed the Zalcman conjecture, which suggests a universal bound on the growth of certain sequences associated with univalent functions. This conjecture also addresses the growth behavior of certain sequences associated with univalent functions, and provides an estimate of for For more details, refer to [4,5,6].
Let denote the class of all analytic functions f of the form defined in the open unit disk , and let be a subclass of consisting of all univalent functions. The analytic function is subordinate to the analytic function , written as , if there exists a Schwarz function which is analytic on such that (see [7]). A function is starlike if is a starlike region with respect to the origin. In the last three decades, many authors introduced various subclasses of starlike functions related to the bounded symmetric regions lying in the right half-plane, and investigated their many geometric properties, such as their radius estimates, differential subordination inclusions, coefficients, inequalities, and majorization properties (see, for example [8,9]). In this sequel, recently, Al-Shbeil et al. [10] considered a subclass of starlike functions related to the hyperbolic secant function . If a function f is in , then the subordination relation holds. The functions and are examples of . These authors examined several differential subordination results related to the Janowski function by using a method used by Jack (see [11]). Further, Bano et al. [12] determined the structural formula, sharp radius of starlikeness, and radius of convexity for functions .
The Briot–Bouquet subordination is a special case of more general differential subordination theory, which is applied in studies of the various properties of complex-valued functions such as univalency, convexity, and starlikeness. The Briot–Bouquet subordination is given by
with . If has the property that for any function , satisfying the condition given in (6), then it is said to be a dominant of (6). For more details, we refer to [13].
Understanding majorization in the context of analytic functions is valuable for analyzing function spaces, studying functions behavior, and establishing relationships between different classes of functions in complex analysis. For instance, it is used to study the behavior of conformal mappings between two regions in the complex plane. Through majorization property, we study convexity and starlikeness of analytic functions, and examine the behavior of functions on the boundary of the unit disk. The analytic function f is majorized to the analytic function g, denoted by [14], if there exists an analytic function in such that
In [15], sharp estimates of the Hermitian–Toeplitz determinant for some analytic functions were determined. Further, Jastrzȩbski et al. [16] discussed estimates of for close-to-star functions. In [17], Lecko et al. computed sharp estimates of for convex functions. The first estimates of the Hankel determinants for functions were discussed in [18,19]. Sim et al. [20] computed the sharp estimates of a Hankel determinant of the second order for the classes of strongly starlike and strongly convex functions of order . Babalola [21] first discussed the bounds of for starlike and convex functions. Later, the estimate of for starlike functions of order were discussed in [22]. In [23], the authors computed the sharp lower and upper bounds for the third-order Hermitian–Toeplitz determinant for functions with a bounded turning of order . Obradovic and Tuneski [24] determined the sharp bound of the third order Hermitian–Toeplitz determinant for univalent functions. Further, in [25], the authors computed sharp bounds for the second-order Hankel determinant, the Zalcman functional, and some Hermitian–Toeplitz determinants of Ozaki’s close-to-convex functions. Ma [26] estimated the Zalcman conjecture for a subclass of convex functions. Further, the generalized Zalcman conjecture was studied, where was explored for starlike functions [27].
In this paper, we first determine the sharp bounds of the Hermitian–Toeplitz determinants and for the functions . We compute a bound of the Hankel determinant involving the initial coefficients and initial inverse coefficients. Further, we compute the bounds of the Hankel determinants and involving initial coefficients as well as the bound of the generalized Zalcman conjecture . By using the Bernardi integral operator, we establish a Briot–Bouquet differential subordination. Also, we obtain a univalent solution to the Briot–Bouquet differential equation for functions . Finally, we investigate the majorization property for such function classes.
To prove the main results, we need the following lemmas.
Lemma 1
([28], Lemma 3, p. 254). Let be the class of analytic functions
satisfying . Then, for some .
Lemma 2
([29], Lemma 2.3, p. 507). Let . Then, for all ,
If , then the inequality is sharp for . In other cases, the inequality is sharp for .
Lemma 3
([30]). Let . Then, for any real number ν,
If , equality holds for , and if , then equality holds for
Lemma 4
([31]). Let ω be a Schwarz function of the form . Then,
2. Main Results
In this section, we first examine sharp estimates of the third- and the fourth-order Hermitian–Toeplitz determinants for the functions .
Theorem 1.
Let be in the class . Then,
These inequalities are sharp.
Proof.
If , then for every , where is an analytic function. Since we obtain
Applying some routine calculations, we get
To analyze the coefficients on both sides, we arrive the following:
Using (9) and (10), we obtain . Since the subclasses and are rotationally invariant, we have , such that . Thus, for all and we obtain the extreme values of as desired. The lower bound on is sharp for the function or equivalently
and the upper bound on is sharp for the function or equivalently
Using (9), (10) and (11) in the expression (2), we can obtain
In view of Lemma 1, we have
for some . From expressions (16) and (17), we can obtain
Using the concept of rotationally invariant, we consider and . Therefore, we have
A simple calculation obtains and in the region . The lower bound on is most possible for the function given by (14), and the upper bound on is most possible for the function given by (15). □
If a function f is in then . Therefore, the initial inverse coefficients are , , and (see [32]). In terms of inverse coefficients, we have
In the next theorem, we obtain the bounds of and for the functions .
Theorem 2.
Let . Then,
Proof.
If , then, for every and the Schwarz function , we have
Upon comparing the similar powers of in the series expansion of the expression (19), we obtain
In view of Equations (21)–(23), we can obtain
By using Lemma 4, we have
Upon setting and , the above expression becomes , where
In view of Lemma 4, we find the maximum value of the function in the region We consider two cases, as presented below:
- (1)
- On the boundary of , we have
- (2)
- In the interior of , we have Therefore, the function has no critical point in the interior of
Thus, in view of case (1) and case (2), we obtain the desired bound for .
Using Equations (21)–(23), we can obtain
Upon applying Lemma 4, we have
Upon using and , the above expression becomes , where
Next, we determine the maximum value of the function in the region We consider two cases for :
- For the boundary of we obtain
- In the interior of , we have . Therefore, the function has no maximum value in the interior of
Thus, in view of case (1) and case (2), we obtain the desired bound for . □
Corollary 1.
Let . Then,
The inequality is sharp.
Proof.
Since , we have
From (21), we get
Equality holds for the extremal function given by □
Next, we obtain the bounds of the Hankel determinants and for the functions .
Theorem 3.
Let be in the class . Then,
Proof.
Since ; then, , so that and . Upon setting the values of ’s given by (10)–(12) into the expression , we obtain
where and . Using Lemma 2 and Lemma 3, we can obtain and . Using triangle inequality in the expression (26) and in view of the above inequalities, we can obtain the desired estimate of
Further, upon setting the values of ’s given by (10)–(13) into the expression , we obtain
so that
where , and . Using Lemma 2, we can obtain , and . Therefore, by using for all , the inequality (27) yields the desired bound for . □
We now provide a bound of the Zalcman conjecture for the functions .
Theorem 4.
Let . Then,
Proof.
Since , in view of (10) and (12), we have
so that
where . Using Lemma 2, we have . Thus, using inequalities for all and in (28), we obtain the desired estimate of . □
The Bernardi integral operator is defined by
From this operator, the following recurrence formula can easily be obtained:
Using a technique introduced by Miller and Mocanu [13,33], we establish some subordination properties. Thus, we need the following lemmas:
Lemma 5
([34]). Let be a convex univalent in , and let ϕ of the form be analytic in . If
then
and τ is the best dominant of (30).
Lemma 6
([33]). Let γ ( and μ be complex numbers, and let κ be a convex univalent in satisfying . Let ϕ be the analytic in and satisfy the subordination given by (6). If the Briot–Bouquet differential equation given by
has a univalent solution q; then, and q is the best dominant of (6). The differential Equation (31) has a formal solution, given by
where
In Theorem 5, we provide a Briot–Bouquet differential subordination relation by using the Bernardi integral operator. In Theorem 6, we find a univalent solution to the Briot–Bouquet differential equation, and we observe that this solution is the best possible solution to the Briot–Bouquet differential subordination for the class .
Theorem 5.
Let , and . If holds,
then
The result is sharp.
Proof.
Let , with . Using (29), we can obtain
Applying (33), we conclude that
From Lemma 5, we have
or
where is an analytic function. Since , we write
Letting , we can obtain
Since for and , using (35), we prove (34). Sharpness follows for the function
so that
and
as . □
Theorem 6.
Let , and . If and then . Furthermore, if , then
where
where and , and q is the best dominant of (36).
Proof.
Let
with . Using (29), we get
Upon differentiating logarithmically, we obtain
Consider the equation
where the function q is analytic, satisfying , and the function is a convex univalent in . Let . According to (39) and Lemma 6, we can observe that , and . For proving , it is enough to set into , and we can obtain
and
under the condition . Hence, there is a univalent solution of the Equation (39). To get this solution, we apply the Lemma 6. Since , we find
Combining the above result, together with and , into Formula (32), we obtain (37). This is the univalent solution of (39). Since is an analytic function satisfying the relation (38), then . □
Finally, we find the majorization property for functions . Hence, we need the following lemma.
Lemma 7
([35]). If the function ϕ is bounded and analytic in , then
where .
Theorem 7.
Let and suppose that . If for every , then for , where is the smallest positive root of the equation
Proof.
Since f is majorized by g, there exists a function in satisfying so that
On differentiating both sides of (40), we obtain
Since , then
where is a function satisfying in . Let so that , and . Hence,
However, the equation has roots and in the interval ; it is sufficient to consider the roots in because is symmetric with respect to the real axis. Then, we have
so that
By using (41), (42) and the above relation together with Lemma 7, we obtain
On setting into (43), we obtain where
In order to obtain , we take
for all , where Since , then where Since , and , there exists a smallest positive root , such that for all . □
3. Conclusions
In this article, we determined sharp estimates of the Hermitian–Toeplitz determinants and for the class of starlike functions defined by the hyperbolic secant function. We computed a bound of the Hankel determinant involving initial coefficients and initial inverse coefficients. We also computed the bounds of the Hankel determinants and , and a bound of the generalized Zalcman conjecture. Moreover, we established a Briot–Bouquet differential subordination relation by using the Bernardi integral operator as well as obtaining a univalent solution to the Briot–Bouquet differential equation. Finally, we investigated the majorization properties.
The idea used in this paper can be extended to resolve some other problems. For instance, an estimate of fourth-order Hankel determinants can be obtained for such functions. Furthermore, these types of results can be investigated for other subclasses whose image domain lies in other different trigonometric functions.
Author Contributions
Conceptualization, S.K.; formal analysis, S.K., D.B. and L.-I.C.; funding acquisition, D.B. and L.-I.C.; investigation, S.K., D.B., L.-I.C. and A.Ç.; methodology, S.K., D.B., L.-I.C. and A.Ç.; project administration, S.K., D.B. and L.-I.C.; resources, S.K.; software, S.K.; supervision, S.K. and D.B.; validation, S.K., D.B. and A.Ç.; visualization, S.K. and A.Ç.; writing—original draft, S.K. and A.Ç.; writing—review and editing, S.K., D.B., L.-I.C. and A.Ç. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The authors would like to express their sincere thanks to the referees for their careful reading and suggestions, which helped us to improve the paper.
Conflicts of Interest
The authors declare no conflicts of interest.
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