Abstract
In this article, we first consider the fractional q-differential operator and the -fractional differintegral operator . Using the -fractional differintegral operator, we define two new subclasses of analytic functions: the subclass of starlike functions of order and the class of bi-close-to-convex functions of order . We explore the results on coefficient inequality and Fekete–Szegö problems for functions belonging to the class . Using the Faber polynomial technique, we derive upper bounds for the nth coefficient of functions in the class of bi-close-to-convex functions of order . We also investigate the erratic behavior of the initial coefficients in the class of bi-close-to-convex functions. Furthermore, we address some known problems to demonstrate the connection between our new work and existing research.
Keywords:
convex functions; starlike functions; close-to-convex functions; bi-close-to-convex functions; fractional q-differintegral operator MSC:
05A30; 30C45; 11B65; 47B38
1. Preliminaries and Basic Notations
In mathematics, symmetry is defined as the property of two shapes being identical when one is moved, rotated, or flipped. The open unit disk, denoted by :, exhibits a rich set of symmetries, consisting of inversion, rotational, and reflection symmetry. Specifically, inversion symmetry means that the disk remains unchanged when inverted about a particular point, maintaining its overall appearance and structure. The disk has inversion symmetry about its center (origin), meaning that inverting any complex number within the disk about the origin results in another complex number also within the disk, specifically . This disk exhibits a rich set of symmetries, making it valuable in various mathematical and geometric contexts. Our goal is to explore additional geometric properties within this symmetric domain.
A function is considered starlike (or convex) if it transforms into a star-shaped (or convex) region, centered at a fixed point, through scaling and rotation. This means the function’s image is contained within a star-shaped (or convex) domain, formed by connecting the fixed point to all other points with straight lines. Starlike and univalent functions are crucial subclasses of analytic functions with numerous applications and properties. Univalent functions are used in geometric function theory (GFT) for conformal mappings, while starlike functions model phenomena like electrostatics and fluid flow in GFT. Another important subclass of analytic functions is the class of close-to-convex functions. In this article, we will focus on the study of bi-close-to-convex functions.
Let indicate a collection of all analytic functions in the region :, which are normalized by
Thus, every can be expressed as
Moreover, is the subclass of whose members in are univalent. Let the class be defined by
The following are some notable subclasses of the univalent functions in class :
and
For , then
For , , and subordinate to in , this is denoted by
If we have a function , this satisfies the condition , , and
The inverse of is defined as
and
The series of is given by
If and
then the series of is given by
If and are in , then is considered bi-univalent in and such type of functions is denoted by For , the author in [] proved that , and after that the authors in [] gave the improvement of and proved that . Furthermore, for , Netanyahu [] proved that . Later, researchers like Brannan and Taha [] and Hayami and Owa [] explored specific subgroups of bi-univalent functions, denoted as , and determined the bounds for their initial coefficients. The study of bi-univalent functions gained significant attention and momentum, particularly after the groundbreaking work of Xi et al. []. Only non-sharp estimates on the initial coefficients were achieved in these recent works.
The Faber polynomials expansion method was first presented by Faber [], who also utilized this approach to study coefficient bound for . Gong [] emphasized the significance of Faber polynomials in mathematical sciences, specifically in the context of GFT. Hamidi and Jahangiri [] employed Faber polynomials to derive coefficient expansions for the class of analytic bi-close-to-convex functions and established estimates for these coefficients. They also revealed the erratic behavior of initial coefficients in subclasses of bi-univalent functions. This class is denoted by and was further discussed in references [,,]. Bult [] investigated a general subclass of analytic bi-univalent functions and established estimates for their Taylor–Maclaurin coefficients using Faber polynomial expansions. Her results refined existing coefficient bounds in certain cases, providing improved estimates. In a subsequent study [], the authors utilized Faber polynomial expansions to determine coefficient estimates for four prominent classes of bi-univalent functions, defined through subordinations. The authors of [] utilized the Faber polynomial expansions method to investigate Janowski-type bi-close-to-convex and bi-quasi-convex functions. Meanwhile, the authors of [] explored the application of the Faber polynomial expansion method to a subclass of analytic and bi-univalent functions related to Janowski functions. Hamidi and Jahangiri [] utilized Faber polynomial expansions to derive sharp upper bounds for the n-th () coefficients of bi-subordinate functions satisfying a specific gap series condition. Furthermore, they precisely determined the bounds for the first two coefficients of these functions. Serivastava [] defined novel subclasses of analytic and bi-univalent functions in the open unit disk, leveraging a specific q-integral operator. By seamlessly integrating the Faber polynomial expansion method with q-analysis, they rigorously established bounds for the n-th coefficient in the Taylor–Maclaurin series expansion of functions within these newly defined classes, subject to a well-defined gap series condition.
To express the coefficients of its inverse map in terms of the analytic functions , use the Faber polynomial method (see [,])
where
For , is a homogeneous polynomial in the variables . Particularly, the first three terms of are
For integers r, that is, , and integers , the quantity (see []) admits an expansion of the form
where
and by [] we have
The summation for satisfies
Clearly,
and
Fractional calculus is a exciting area of study for physicists and mathematicians. It offers a more powerful and elegant way to solve problems. Fractional differential equations are a new tool for modeling complex phenomena. Different types of derivatives, like Riemann–Liouville, Hadamard, fractional q-derivative operator, and Caputo, have been developed to help with this. The idea of fractional calculus has recently been used in a new way to study analytic functions. Researchers have used old and new definitions of fractional operators for the following:
- 1:
- To understand properties of functions (characterization).
- 2:
- To estimate coefficients (important numbers in functions) [].
- 3:
- To study distortion inequalities (how functions change shape) [].
- 4:
- To look at how functions work together (convolutions) for different types of analytic functions.
This work has been explained in detail in research books. In one of these books [], a mathematician named Srivastava defined new ways to calculate fractional derivatives and integrals in the complex plane (a mathematical space where numbers have both real and imaginary parts).
More research connecting fractional calculus to univalent functions theory has been motivated and encouraged by the recent review study by Srivastava [], which emphasized the benefits of incorporating fractional calculus into geometric function theory. Geometric characteristics are established for the fractional q-differential operator introduced utilizing the well-known q-derivative operator and the fractional q-derivative operator of order . An in-depth and thorough examination of q-calculus and fractional calculus, involving a meticulous and precise analysis of its principles and applications, was discussed in [,]. This study extends the examination of this research area.
Now, the basic definitions and concepts of q-calculus and fractional q-calculus need to be reviewed in order to construct some new subclasses of analytic and bi-univalent functions.
Definition 1.
For , the q-number n is given by
and
Definition 2 ([]).
The q-number shift factorial is given by , ,
and
In terms of the q-Gamma function,
where the q-gamma function is defined by
We note that
For the q-gamma function , it is known that (see [])
Jackson [] introduced the q-difference operator for analytic functions as follows:
Definition 3 ([]).
For , the q-difference operator is defined as
and
where is given by (5) and
The q-analog of the class of starlike functions was first introduced by Ismail et al. in [] by means of the q-difference operator , and the q-integral is defined by
Remark 1.
Definition 4.
Fractional q-integral operator (see [], page 57, Definition 1): the fractional q-integral operator of order λ is defined by (see also [], page 257)
where, is analytic in a simply connected region of the z-plane containing the origin and the q-binomial function is defined by
The definition of series is
The last equation is known as the q-binomial theorem (see [] for more information). The series is single-valued when and (see for detail [], pages 104–106), and in (6) is single-valued when and .
Definition 5 ([]).
The fractional q-derivative operator of order λ is defined by (see also [], page 257, Definition 1.2)
where is suitably constrained and the multiplicity of is removed as in Definition 4.
Definition 6.
Let m be the smallest integer. The extended fractional q-derivative of order λ defined by
We find from (7) that
Note that: When , then represents a fractional q-integral of of order . For , then represents a fractional q-derivative of of order .
Definition 7 ([]).
The -fractional differintegral operator is defined as follows:
where
and
Note that
- i.
- ii.
Definition 8.
Definition 9.
Remark 2.
For , we have a new class of bi-close-to-convex functions that can be defined as
and
where , , , , and .
Remark 3.
For , and , then we have the known class of bi-close-to-convex functions investigated by Bulut in [].
The main novelty of the paper is to utilize the Faber polynomial expansion to derive upper bounds for the general Taylor–Maclaurin coefficients of functions in a novel subclass of bi-close-to-convex functions, defined by the -fractional differintegral operator in the open unit disk . Our primary results, corollaries, and consequences will collectively generalize and refine previously established findings, providing an extension and improvement of existing knowledge in this field.
2. Set of Lemmas
To show our primary points, we need the following lemmas:
Lemma 1 ([]).
If and
then
Lemma 2 ([]).
If and , then
We started by explaining the basics of geometric function theory in Section 1 because it is essential to understand our main discovery. We also discussed some advanced mathematical tools like Faber polynomial methods, q-calculus, and -fractional differintegral operator. Using the -fractional differintegral operator, we defined two new subclasses of analytic and bi-univalent functions in Section 1. We then presented some preliminary results in Section 2. In the next section, we reveal our main findings, including new results about the n-th coefficients, and also explore the erratic behavior of initial coefficient estimates for the function . Finally, we summarize our conclusions.
3. Main Results
Theorem 1.
Proof.
Suppose , then
Thus, by setting
or, equivalently,
Comparing on both sides, we have
and
Using Lemma 1, we have
So, for in (12), we have
This confirms that Equation (10) is true for the base case . To establish the general validity of Equation (10), we employ mathematical induction. In the next step, we consider the case , and from Equation (12), we obtain
This verifies that Equation (10) is true for . Moving on to the case , we can see from Equation (12) that
or this can be written as
This demonstrates that Equation (10) is valid for . Next, we assume that Equation (10) is true for all n less than or equal to t; that is,
Consider
Therefore, the result holds for . Thus, by mathematical induction, we have established that Equation (10) is true for all integers n greater than or equal to 2. This concludes the proof. □
Theorem 2.
Proof.
Theorem 3.
Proof.
Let . Then, there is a function . The Faber polynomial expansion of is
For and , we obtain
Since in , there is a function with a positive real part
such that
Similarly, in , so there is a function with a positive real part
so that
Evaluating the coefficients of Equations (17) and (19), for any , yields
Evaluating the coefficients of Equations (18) and (20), for any , yields
But under the assumption and , respectively, we find from (21) and (22) that
Also, the equality ( implies that
Thus, (23) and (24) give
and
respectively. Taking the absolute value (or modulus) of both sides, we obtain
and
Since , we use Theorem 1 to obtain
and
For and , we obtain a recognized corollary in Theorem 3 that was proved in [].
Corollary 1 ([]).
Let . If , , then for
where
For , and we obtain a recognized corollary in Theorem 3 that was proved in [].
Corollary 2 ([]).
Let , if , . Then,
Theorem 4.
Proof.
Substituting in Equation (21) and in Equation (22), we obtain
From (29) and (31), we find
On the other hand, from (30) and (32), we obtain
Therefore by applying triangle inequality to (29) and (34), using Lemma 1, we obtain
and
Using inequality (11), we have
and
We obtain the required bound as asserted in (27). Now we subtract (32) from (30), and we thus obtain
By (33), we obtain
If we set the value of from (29) in (39), then we have
As a consequence of Theorem 4, we recover the well-known corollary established in [] when and q approaches .
Corollary 3 ([]).
4. Conclusions
Modern research has been significantly influenced by fractional calculus, which has many uses in many areas of science and engineering. It also has implications for many areas of mathematics. For example, it is used in a wide range of complex analysis studies, and it has resulted in some interesting new findings in studies involving analytic functions theory. This article has three parts. As the basics of geometric function theory were necessary to understand our major discovery, we briefly covered them in Section 1. In this section, we also discussed q-calculus, the fractional q-derivative operator, and the -fractional differintegral operator. Using this operator, we defined two new subclasses of analytic and bi-univalent functions. These elements were well recognized, and we appropriately referenced them. The preliminary lemmas were presented in Section 2. In Section 3, utilizing Lemmas 1 and 2, we first investigated Theorems 1 and 2. Then, using these two theorems and the Faber polynomial expansion technique, we determined the upper bound of the n-th coefficient for functions belonging to these newly defined classes. We also explored the erratic behavior of the initial coefficients of bi-close-to-convex functions, which were characterized by the -fractional differintegral operator. Furthermore, we investigated Fekete–Szegö problems and provided some notable results, which are well established in the field.
Recent research, such as the study by [], has revealed that the classes of functions can be further examined and refined when the strong starlikeness of order , a significant property of the -fractional differintegral operator, is taken into account. This property enables a more nuanced understanding of the operator’s behavior, allowing for a deeper exploration of the classes and their characteristics.
Author Contributions
Conceptualization, G.I.O., T.B. and Q.Z.A.; Methodology, A.A.L. and G.I.O.; Software, A.A.L.; Validation, H.B.J.; Formal analysis, Z.J., G.I.O. and T.B.; Investigation, H.B.J.; Writing—original draft, Q.Z.A.; Writing—review & editing, T.B.; Visualization, Z.J. and H.B.J.; Supervision, A.A.L.; Funding acquisition, Z.J. All authors have read and agreed to the published version of the manuscript.
Funding
The research work of the first author was supported by the Key Scientific Research Project of the Colleges and Universities in Henan Province (No. 23B110009) and the research work of the third author was supported by the Researchers Supporting Project Number (RSP2024R210), King Saud University, Riyadh, Saudi Arabia.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
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