Abstract
A fractal–fractional calculus is presented in term of a generalized gamma function (ℓ−gamma function: ). The suggested operators are given in the symmetric complex domain (the open unit disk). A novel arrangement of the operators shows the normalization associated with every operator. We investigate a number of significant geometric features thanks to this. Additionally, some integrals, such the Alexander and Libra integral operators, are associated with these operators. Simple power functions are among the illustrations that are provided. Additionally, the formulation of the discrete fractal–fractional operators is conducted. We demonstrate that well-known examples are involved in the extended operators.
1. Introduction
Mathematical procedures known as fractional operators typically include integrals and derivatives and deal with orders other than integers. Complex geometric shapes, known as fractals, show self-similarity at different sizes. Combining these two concepts results in the notion of fractal–fractional operators [], which are operators connected to functions specified on fractal sets and utilizing fractional calculus. Fractal–fractional operators are an interdisciplinary field spanning mathematics, physics, and engineering. They have been applied in several domains, including as signal processing, image analysis, and mathematical simulation of intricate systems incorporating non-local and self-similar behavior []. For example, fractional differential equations have been created on fractal domains and utilized in fractal spaces, where fractional derivatives replace standard derivatives []. This enables the description of fractal processes, which are distinguished by their unpredictable and self-replicating patterns []. It is important to remember that learning fractal–fractional operators may be quite challenging and requires a solid understanding of fractional calculus and fractal geometry [].
The generalized gamma function, which may be stated for positive real numbers, is an extension of the conventional gamma function. When ℓ is a positive integer, it has a number of uses in the domains of statistics [], science, technology, and mathematics []. Its characteristics are greater in complexity than the normal one as both the scale factor and the shape factor are incorporated []. In several mathematical and scientific applications, it is an essential tool, particularly when handling situations with complex and varied statistical distributions []. In the setting of geometric function research and the study of analytic functions in this field, symmetric behavior on the open unit disk might prove useful for both simplifying computations and understanding function properties. These symmetric characteristics might lead to important discoveries, including the classification of harmonic functions or applying methods like the Schwarz contemplation theory.
We provide a version of the fractal–fractional calculus by using the gamma function, which is an expanded version of the gamma function. We introduce fractional operators for real and complex variables that are fractal. We expand the proposed operators in a symmetric complex domain (the open unit disk). Every operator displays a normalization. This allows us to study a variety of important geometrical properties. Furthermore, these operators are related to certain integrals, such as the Alexander and Libra integral operators. There are graphics included, including ones for the basic power functions. The structure of the paper is as follows: The techniques and observations (our primary findings) are covered in Section 2. The analysis concludes in Section 3 with recommendations for further research.
Now, we deal with the concepts that will be used in the sequel.
The motivation’s gamma function, sometimes referred to simply as the modified gamma function, is viewed in the following manner [] (see Figure 1):
for
Additionally, we have
Figure 1.
Complex 3D plot of accordingly, where axis represents to .
Definition 1
([]). Assuming that is differentiated over (0, b), the following is the corresponding value of the Caputo fractal–fractional derivative:
Furthermore, the Riemann–Liouville fractal–fractional differential operator for a continuous function that is fractal differentiable over (0, b) is as outlined below:
where
Considering those mentioned operators, further modification is developed with the following structure:
And
where
Similarly, the arrangement formulates the fractal–fractional integral operator of order :
The generalized fractal–fractional operators may be obtained by joining the specifications of the gamma function with the fractal–fractional operators, as shown below:
Definition 2.
Assume that the variable is differentiable over the open interval from 0 to b. Next, the following is the Caputo fractal–fractional derivative:
Additionally, the following expression provides the Riemann–Liouville fractal–fractional differential operator for a continuous function ϑ that is differentiated over (0, b):
where
Regarding the above-mentioned operators, further abstraction is taken into account in the following manner:
And
where
In accordance with this, the layout formulates the fractal–fractional integral operator of order :
Take note of that
Some examples are given in the next subsection.
2. Illustrations of Fractal–Fractional Operator
Example 1.
Let (see [])
As
this provides
and
But
thus, we obtain
The integral of ϑ yields
By using the fact
we obtain the next derivative
Additionally, we obtain
Example 2.
Currently, we have the extended ℓ-fractal–fractional operators:
then
By utilizing the derivative
we obtain
The fractal–fractional integral indicates that
By considering the derivative
one can obtain
Also, we obtain
3. Complex Fractal–Fractional Operators
Definition 2 for a complex variable, fractal–fractional operators can be constructed. Initial, we propose acting on a class of analytic functions of the framework using the operators.
The normalization class of analytic functions in fulfilling is the name given to this class. We are able to analyze it analytically thanks to this type of analytic function.
Definition 3.
Suppose that in , σ is analytic. Next, the following is the Caputo fractal–fractional differential operator:
Additionally, the Riemann–Liouville fractal–fractional differential operator is provided by the following expression if the function is a fractal analytic function in :
where
For the above-mentioned operators, further expansion is expected in the following ways:
And
where
In accordance with this, the layout formulates the fractal–fractional integral operator of order :
where
Example 3.
Suppose the analytic function σ, with the expansion in (1). We have the subsequent information:
In addition, we obtain the following computation:
For the integral, we obtain the next evaluation
As an example, we possess the triple parametric fractal–fractional operator
Moreover, we obtain
The instance mentioned beyond shows that when the fractal–fractional operators are applied to the normalized function , its normalization is lost. Therefore, in order to demonstrate that all fractal– fractional operators are under the category of normalized analytic functions, we must strengthen the conclusions from before.
Next, we move to the next idea. Two purposes for analysis and are known as convoluted if they have the Hadamard product
Theorem 1.
Consider σ have the normalized analytic function. Then, the fractal–fractional operators are capable of being normalized in the following way:
- with
- whenever
- whenever
And the Koebe function, or the most extreme function of the starlike univalent function in , is given by .
Proof.
Our aim is to use example (1). Formulate the next operator
Thus, we obtain which means that Moreover, from the last conclusion, and the definition of the normalized Fox–Wright function and the convolution product of analytic functions, we attain
Secondly, we obtain
On other structure, we have
Thus, is normalized. For the fractal–fractional integral, it can be normalized as follows:
□
Regarding the double parametric fractal–fractional operators, we can make a subsequent observation.
Remark 1.
- The fractal–fractional operators can be regarded as members of the class of normalized analytic functions in the unit disk, as demonstrated by Theorem 1. In other words, they are converted from the normalized analytic function into a function that belongs to the same class. We may analyze the fractal–fractional operators in the unit disk geometrically thanks to this feature.
- Furthermore, Theorem 1 suggests that the normalized Fox–Wright functions in the unit disk may be seen as entangled operators with fractal–fractional operators. However, this unique function possesses a geometrical characteristic in the open unit disk given specific argument circumstances (see []).
- Certain exceptional operators, such as the Alexander and Libra operators, are recognized together with the structure of the complex fractal–fractional operators:andaccordingly []. For instant (see Figure 2)and
Figure 2. The 3D-complex plot of accordingly, where the z-axis presents the operator in (a) and in (b). - Three complex analytic functions are used to formulate the operator : the fundamental function σ, the extreme function of starlikeness, and the normalized Fox-Wright function. But, the operator is structured by double analytic functions. In the same way, for the integral operator As a conclusion of this point, the normalized fractal–fractional operators can be checked geometrically based on the properties of (see Theorem 2).
The next step is to identify the geometrical characteristics that are crucial for the normalized ℓ-fractal–fractional operators.
4. Main Results
The fractal–fractional operators are employed in many scientific and technical disciplines and display a wide range of geometrical features. Fractal–fractional operators have unique geometric properties as they are memory-based and non-local. They are used in many fields, such as mathematics, physics, engineering, and image processing, to manage and understand complicated systems and patterns having fractal and self-similar qualities.
Theorem 2.
Suppose the normalized analytic function σ. If one of the following set of conditions (a) or (b) is achieved
- (a)
- or
- (b)
- together with the inequalitythen has a convex conduct.
If (a) or (b) is held together with the coefficients inequality
then has a starlike conduct.
Proof.
In the sequel, we employ the following facts [,]
Theorem 1 implies that is normalized and admitting the power series in (1). Furthermore, two normalized analytic functions of the kind (1) are obtained via certain features of the convolution product [], and they fulfill
As a consequence, we obtain
where Taking right here, and choosing option (a) or option (b), we obtain
Considering the prerequisite of the coefficient, the result is
that is
Consequently, we obtain
which means that the operator is convex (see inequality (2) for ). Likely, utilizing the coefficient condition,
we have
which means that the operator is starlike (see inequality (3) for ). □
Theorem 3.
Consider the normalized analytic function σ. If and for the inequality
is achieved, then admits a convex conduct. Moreover, if with the coefficients inequality
then is starlike (see inequality (3) for ).
Proof.
Theorem 4.
For the normalized analytic function σ, if
then is convex. Moreover, if
then is starlike.
Proof.
We address the boundedness of the fractal–fractional operators in the unit disk in the subsequent phase of our study.
5. Boundedness of ℓ-Fractal–Fractional Operator
Boundedness is an important concept in complex analysis and complex function theory, as it may be applied to define the behavior of functions or sequences through certain regions of the complex plane. Bounded functions within the open unit disk often have advantageous mathematical properties and are easier to measure than unbounded functions. The boundedness of the fractal–fractional operators in the unit disk when a geometric characteristic is admitted by the normalized analytic function is then discussed.
Theorem 5.
Consider the normalized analytic function σ is a convex. Then, the fractal–fractional operators are bounded in the unit disk, with
where
Proof.
Let in (1) be convex. As a consequence, we obtain . Theorem 1 implies that
For and by the Young’s inequality of convolution product, we have
Obtaining the integral operator
□
Example 4.
Assume that which is the extreme convex function in the open unit disk. Then, in view of Theorem 5, we have
where
Theorem 6.
Assume that σ is starlike. Then, the fractal–fractional operators are bounded in the unit disk, with
where
Proof.
As is starlike, then A computation implies that
Second inequality yields
Lastly, we find for the integral operator
□
Example 5.
Assume that which is the extreme starlike function in the open unit disk. Then, in view of Theorem 6, we have
6. Conclusions
We created a generalization of the most recent work on fractal–fractional operators utilizing the power products, based on the expanded gamma function or gamma function. We demonstrate the usefulness of these operations with certain cases. All kinds of fractional differential equations, dynamic systems, thermal inquires, specific transformations (derivatives and integrals, among them heat and wave transformations), and computational investigations are all capable of being generalized by the suggested fractal–fractional. Employing a complex variable, we created the fractal–fractional operators. Geometrical and analytical phenomena are investigated. It is proposed to use these operators on an open unit disk normalized analytic function. Additionally, the operators are regarded as belonging to the class of normalized functions under a certain formula involving these operators. Consequently, we provided the requirements for these operators to meet the two most crucial geometric characteristics in the open unit disk: convex and starlike. The fact that these operators may be expressed in regards to special functions via the convolution product of analytic functions is another finding about the complex fractal–fractional operators. As a result, other characteristics of these operators, with the value convexity, concavity, singularity, and harmonic conduct may be investigated using the normalized Fox–Wright function.
Author Contributions
Conceptualization, R.W.I.; investigation, A.A.A., S.S., R.W.I. and M.F.Y.; writing—original draft preparation, R.W.I.; writing—review and editing, A.A.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Prince sattam bin Abdulaziz University project number (PSAU/2024/R/1445).
Data Availability Statement
Data used to support the findings of this study are included within the article.
Acknowledgments
This study is supported via funding from Prince sattam bin Abdulaziz University project number (PSAU/2024/R/1445).
Conflicts of Interest
The authors declare no conflicts of interest.
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