Abstract
Let  denote the class of bounded turning functions  analytic in the open unit disk, where the image of  is contained in the domain . This article determines sharp coefficient bounds, a Fekete–Szegö-type inequality, and second- and third-order Hankel determinants for functions in the class . Additionally, we obtain sharp Krushkal and Zalcman functional-type inequalities related to the logarithmic coefficient for functions belonging to .
    Keywords:
                                                                    analytic functions;                    bounded turning functions;                    coefficient bounds;                    Fekete–Szegö-type inequality;                    Hankel determinant;                    Krushkal and Zalcman functional        MSC:
                30C45; 30C80
            1. Introduction and Preliminaries
Let  denote the class of normalized analytic functions in the open unit disk
      
        
      
      
      
      
    
      with the series expansion:
      
        
      
      
      
      
    
      Also, let  denote the subclass of  consisting of univalent functions in . For the functions  that are members of , we say that the function  is subordinate to  and write  if there is a function , analytic in  with , such that  In particular, if the function  is univalent, then  if and only if  (see []).
Among the various subclasses of , the classes of starlike, convex, and bounded turning functions have garnered the most attention. Ma and Minda [] introduced several classes of convex and starlike functions, including
      
        
      
      
      
      
    
      Also, they have investigated a more general analytic function , with the positive real part in , that maps the unit disc  onto starlike regions concerning 1, which are symmetric for the real axis and normalized by the conditions  To obtain a suitable choice of image domains of , one can obtain the subfamilies of  By taking , the class   that reduces, respectively, to the class  is related to the right half of the lemniscate of Bernoulli and was studied by Sokol and Stankiewicz []. By taking  the class  reduces, respectively, to the class , whereby the class of Janowski starlike and convex functions was studied by Janowski []. In 2016, Sharma et al. [] considered the class of starlike functions bounded by the cardioid domain for . In 2021, Wani and Swaminathan [] studied the class of starlike and convex functions bounded by the nephroid domain. For the function , which maps the unit disk onto a cardioid domain, the class  reduces to class , respectively, which was investigated by Sivaprasad Kumar and Kamaljeet []. In 2014, Mendiratta et al. [] studied the subclass of  related to the interior of the left-half of the shifted lemniscate of Bernoulli, such as
      
        
      
      
      
      
    
      Similarly, in 2015, Mendiratta et al. [] investigated the subclass of  associated with the exponential function, such as  Recently, many subclasses of  are extensively investigated in the literature (see [,,]), such as the following:
- ;
 - ;
 - (see []).
 
Recently, in 2021, Sivaprasad Kumar and Kamaljeet [] introduced and studied a class of starlike functions , where the image domain of  is bounded by a cardiod (see also []).
For this purpose, we consider the analytic function  satisfying the following:
- is univalent with ;
 - is starlike with respect to ;
 - is symmetric about the real axis;
 - .
 
      Let  be defined by
      
        
      
      
      
      
    
      where  satisfies all the aforementioned properties (Figure 1).
      
    
    Figure 1.
      Image of  under a unit disk.
  
Remark 1.  
The function  is analytic in , and can be written as
      
        
      
      
      
      
    This power series with real and positive coefficients converges absolutely in .  is harmonic on  since it is the real part of an analytic function. Moreover,  and  is not constant. By the minimum principle for harmonic functions, since  is harmonic, positive at a point, and not constant, it follows that
      
        
      
      
      
      
    
The study of coefficient problems in the fundamental class  is motivated by the geometric properties of their image domains. In the early 1970s, Lawrence Zalcman proposed a conjecture, now famously known as the Zalcman conjecture, which states that if  and is given by
      
        
      
      
      
      
    
      with equality only for the Koebe function  or its rotations, then the Zalcman conjecture implies the Bieberbach conjecture, . Bieberbach proved the Zalcman conjecture for . Recently, numerous researchers have investigated sharp bounds for the Zalcman functional, defined as , for various subclasses of functions, including convex, starlike, close-to-convex, and bounded turning functions (see [,,]).
Pommerenke (see [,]) considered Hankel determinants  of univalent functions, with coefficients of the function  in subclass  and introduced for  as follows:
      
        
      
      
      
      
    
Hankel determinants play a crucial role in investigating the coefficients of analytic functions within various classes of functions, with far-reaching implications across multiple mathematical disciplines. For a comprehensive overview of their applications, see []. Numerous studies have explored sharp bounds for various function classes. Interested readers can find a wealth of information in the existing literature and references cited therein (see [,,,,]). Notably, we refer the reader to  and , and the functional
      
        
      
      
      
      
    
      is commonly referred to as the Fekete–Szegö functional. The maximum value of  was found for a class  in 1933. Many researchers looked into the maximum value of  for different subclasses of class ; for more information, see [,,,,]. Additionally, for  and , the second Hankel determinant is
      
        
      
      
      
      
    
      Several authors have examined the upper bound of . For example, the works of Hayman [], Noonan and Thomas [], Janteng et al. [], and Orhan et al. [] are worthy of reading. The determinant
      
        
      
      
      
      
    
      is known as the third-order Hankel determinant. The upper bound of  for a subclass of  was initially studied by Babalola []. Readers are encouraged to consult the work of various researchers, including Zaprawa [], Raza et al. [], Cho et al. [], Lecko et al. [], and Srivastava et al. [], for additional information on this subject.
Motivated by the aforementioned works, we introduce the class of bounded turning functions and derive coefficient bounds for functions in the class  that satisfy a given differential subordination implication. Furthermore, we identify extremal functions that render our results sharp for functions . As applications of these findings, we establish the Fekete–Szegö inequality and determine the Zalcman functional.
Let  be the class analytic function  with a positive real part and  Thus, every  can be represented by
      
        
      
      
      
      
    
      which is also known as a Carathéodory function. This class of functions play a significant role in geometric function theory, particularly for the bound of Hankel determinants. In 1983, Duren [] examined its coefficient bounds such as .
The following lemmas are essential for establishing the main results of this paper.
Lemma 1  
Lemma 2  
Lemma 3  
Lemma 4  
Lemma 5  
The organization of this paper is as follows: Section 1 introduces fundamental definitions and lemmas crucial for proving the main results in subsequent sections. We define the class  and estimate sharp coefficient bounds for  and , as well as sharp bounds for the Fekete–Szegö inequality and second and third Hankel determinants for the functions in  in Section 2. In Section 3, we investigate the sharp bounds and logarithmic coefficient inequalities for the class . This paper is finally concluded with closing remarks in Section 4.
2. Coefficient Bounds, Fekete–Szegö Inequality and Hankel Determinants
We now consider a subfamily of bounded turning functions defined by
      
        
      
      
      
      
    
      Firstly, we determine the sharp coefficient bounds for functions in the class .
Theorem 1.  
Let  Then,
      
        
      
      
      
      
    The following functions are used to attain their respective sharp bounds:
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
Proof.  
Let  Then,
      
        
      
      
      
      
    
        where  is an analytic function with  for all 
Let  Then, by application of subordination, we have
      
        
      
      
      
      
    
Hence, it is clear that
      
        
      
      
      
      
    
Next, we estimate the Fekete–Szegö inequality and Hankel determinants using the previously established coefficient bounds for  and .
Theorem 2.  
Let  Then,
      
        
      
      
      
      
    The above inequality is sharp.
Proof.  
- If that is, , then by using Lemma 5, we get
 - If that is, then by using Lemma 5, we get
 - If that is, then by using Lemma 5, we get
 
Summarizing all the above cases, we obtain the desired inequality of the result. To demonstrate the sharpness of the functional, we consider the following function:
      
        
      
      
      
      
    
        Clearly, we observe that  For  we have
      
        
      
      
      
      
    
        Next, we consider the function
      
        
      
      
      
      
    
        where  For  we have
      
        
      
      
      
      
    
        The result is sharp for the function  given in (11) and (12). Hence, it completes the proof.    □
Clearly, for  the function  reduces to  which is a particular case of Zalcman functional (or Hankel determinant ). For the above Theorem 2, we have the following corollary.
Corollary 1.  
We also obtain the upper bound of the Hankel determinant and Zalcman functional for the class 
Theorem 3.  
Let  Then,
      
        
      
      
      
      
    The above functional is sharp for the function  given by
      
        
      
      
      
      
    
Proof.  
Theorem 4.  
Proof.  
By taking  we get
      
        
      
      
      
      
    
        A simple computation shows that  on  It implies that  For 
      
        
      
      
      
      
    
        Since , then  is a decreasing function. Hence, the maximum attained at  that is,
      
        
      
      
      
      
    
        Thus, the result is sharp, which completes the proof.    □
We next obtain the Krushkal inequality [] for a function to be in the class 
Theorem 5.  
Let  Then,
      
        
      
      
      
      
    
The result is sharp for the function given by
      
        
      
      
      
      
    
Proof.  
Theorem 6.  
Proof.  
Theorem 7.  
Let  Then
      
        
      
      
      
      
    The result is sharp for the function given by
      
        
      
      
      
      
    
Proof.  
Using (19), (20), and (21), we have
      
        
      
      
      
      
    
        where  and  Since  it satisfies the following inequality:
      
        
      
      
      
      
    
        thus, by Lemma 4, we have
      
        
      
      
      
      
    
Now, we consider the function for which the resulting inequality is sharp, as follows:
      
        
      
      
      
      
    
        Hence, it completes the proof.    □
Theorem 8.  
Proof.  
Theorem 9.  
Let  Then,
      
        
      
      
      
      
    The result is sharp for the function given by
      
        
      
      
      
      
    
Proof.  
      
        
      
      
      
      
    
The third Hankel determinant  is given by
      
        
      
      
      
      
    
        Using (19), (20), (21), and (22), with  we have
      
        
      
      
      
      
    
        where . For  Equations (7)–(9), reduce to
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
Therefore, it follows from (30) that
      
        
      
      
      
      
    
Thus, it follows that
      
        
      
      
      
      
    
        where 
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
By using  utilizing the fact that  we obtain
      
        
      
      
      
      
    
        where
      
        
      
      
      
      
    
        where
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
Now, we have to maximize  in the closed cuboid  For this purpose, we need to find the maximum value of  in the interior of , in the interior of all of its six faces, and on the twelve edges of the cuboid . For this purpose, we need to find the max  in the interior of , in the interior of all of its six faces, and on the twelve edges of the cuboid .
Let  Then,  reduces to
      
        
      
      
      
      
    
For  we have , that is,
      
        
      
      
      
      
    
Also, it is clear that  Now, we have to obtain the maximum value of  on . For  we have 
      
        
      
      
      
      
    
- For we have
 
- 2.
 - For we obtain
 
Numerical calculations indicate that the system of equations
      
        
      
      
      
      
    
        with , and all the real approximate solutions are listed as  , and . Hence,  has no solution in  implying that  has no optimal point within this interval.
From the above cases, it is clear that within the cuboid  the following are satisfied:
      
        
      
      
      
      
    
From (31), we deduce that
      
        
      
      
      
      
    
Now, we consider the function for which the resulting inequality is sharp, as follows:
      
        
      
      
      
      
    
Hence, it completes the proof.    □
3. Logarithmic Coefficient Inequalities
In this section, we explore logarithmic coefficients associated with  for the class , as well as the Fekete–Szegö functional, Hankel determinant, and Zalcman functional.
Let  Then, the logarithmic function related to  has the expansion of the form
      
        
      
      
      
      
    
Among the several coefficient estimate problems, the logarithmic coefficients play a vital role in the theory of univalent functions. For more details on the logarithmic coefficients problem, see [,,,,].
Theorem 10.  
Let  Then,
      
        
      
      
      
      
    The following functions are used to attain their respective sharp bounds:
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
Theorem 11.  
Let  Then,
      
        
      
      
      
      
    The inequality is sharp.
Proof.  
Therefore, using Equation (10) yields
      
        
      
      
      
      
    
Clearly, for  the function  reduces to  which is half of the Fekete–Szegö functional (or ). For the above Theorem 11, we have the following corollary.
Corollary 2.  
Theorem 12.  
Let  Then,
      
        
      
      
      
      
    The inequality is sharp.
Proof.  
To determine the sharpness of the function, we consider the function defined in (43). Hence, it completes the proof.    □
Theorem 13.  
Let  Then,
      
        
      
      
      
      
    The inequality is sharp.
Proof.  
Theorem 14.  
Let  Then,
      
        
      
      
      
      
    The inequality is sharp.
Proof.  
Theorem 15.  
Let  Then,
      
        
      
      
      
      
    The inequality is sharp.
Proof.  
Theorem 16.  
Let  Then,
      
        
      
      
      
      
    The inequality is sharp.
Proof.  
Theorem 17.  
Let  Then,
      
        
      
      
      
      
    The result is sharp for the function given by
      
        
      
      
      
      
    
Proof.  
      
        
      
      
      
      
    
      
        
      
      
      
      
    
        Numerical calculations indicate that the system of equations
      
        
      
      
      
      
    
        with , and all the real approximate solutions are listed as  , and . Hence,  has no solution in  implying that  has no optimal point within this interval.
The second Hankel determinant  is given by
      
        
      
      
      
      
    
So, it follows from (52) that
      
        
      
      
      
      
    
        where .
Thus, it follows that
      
        
      
      
      
      
    
        where 
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
      
        
      
      
      
      
    
By using  utilizing the fact  we obtain
      
        
      
      
      
      
    
        where
      
        
      
      
      
      
    
      
        
      
      
      
      
    
Next, we aim to maximize  in the closed cuboid . This requires finding the maximum value of  within the interior of , the interiors of its six faces, and along its twelve edges.
Let  Then,  reduces to
      
        
      
      
      
      
    
For  we have , that is,
      
        
      
      
      
      
    
Also, it is clear that  Now, we have to obtain maximum value of  on . For  we have 
      
        
      
      
      
      
    
- For we have
 
- 2.
 - For we get
 
From the above cases, it is clear that within the cuboid , the following is satisfied:
      
        
      
      
      
      
    
        From (31), we deduce that
      
        
      
      
      
      
    
        Hence, it completes the proof.    □
4. Concluding Remarks
In this work, we have defined new subclass  of bounded turning functions associated with analytic univalent functions  We revealed the coefficient problem and many other geometric properties for this class such as the Fekete–Szegö functional, Hankel determinant, Krushkal inequality, and Zalcman conjecture. Moreover, we have established the sharpness of the Fekete–Szegö inequality and Zalcman functional associated with the logarithmic coefficient. Our work can be used for finding Hankel determinants of higher order.
Author Contributions
Conceptualization, S.P. and M.M.S.; methodology, S.P. and M.M.S.; validation, S.P., M.M.S., D.B. and L.-I.C.; formal analysis, M.M.S., D.B. and L.-I.C.; investigation, S.P., M.M.S., D.B. and L.-I.C.; writing—original draft preparation, S.P. and M.M.S.; writing—review and editing, S.P., M.M.S., D.B. and L.-I.C.; visualization, S.P., M.M.S., D.B. and L.-I.C.; supervision, M.M.S., D.B. and L.-I.C.; funding acquisition, D.B. and L.-I.C. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
We thank the referees for their valuable suggestions, which significantly improved this work.
Conflicts of Interest
The authors disclose no conflicts of interest.
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