Abstract
This paper establishes new results related to geometric function theory by presenting a new subclass of harmonic functions with complex values within the open unit disk, characterized by a second-order differential inequality. The investigation explores the bounds on the coefficients and estimates of the function growth. This paper also demonstrates that this subclass remains stable under the convolution operation applied to its members. In addition, in the last section, images of the unit disk under some functions of this class are given.
MSC:
30C80; 30A10; 30C50
1. Introduction
Harmonic functions play a central role in mathematical analysis and applied mathematics due to their intriguing properties and widespread applications. Harmonic functions are solutions to Laplace’s equation, a second-order partial differential equation that emerges in various fields such as physics, engineering, and probability theory. The study of harmonic functions opens doors to exploring diverse mathematical phenomena, including conformal mappings, potential theory, and complex analysis. Their unique characteristic of being infinitely differentiable and satisfying the mean value property has made them a staple in the analysis of functions and solutions to differential equations.
In this research, we shift our focus to harmonic functions that are subject to additional constraints, specifically those defined by a second-order differential inequality. By incorporating a second-order differential inequality, we introduce new dynamics that broaden the traditional scope of harmonic functions, leading to intriguing insights and possibly to novel applications.
In this article, the exploration of certain properties of harmonic functions defined by a second-order differential inequality provides a good basis for deeper analysis. This study aims to investigate the new characteristics that emerge from these constraints and to expand our understanding of harmonic functions beyond the classical framework. Through a combination of theoretical derivations and practical examples, we will uncover the distinctive attributes and potential applications that arise from this area of research.
Consider as the open unit disk in the complex plane . Let denote the set comprising complex-valued harmonic functions f within . These functions are normalized such that and . Also, let Every function has the canonical representation , where
both h and g are analytic in is locally univalent and sense-preserving in if and only if in . Denote by the subclass of that is univalent and sense-preserving in the open unit disk (see [1,2]). When , the traditional set comprising analytic, univalent, and normalized functions within the unit disk is a subset of , similar to how the set consisting of analytic and normalized functions in is a subset of .
Let , , and denote the subsets of that map onto convex, starlike, and close-to-convex domains, respectively. Correspondingly, , , and represent the subsets of mapping onto their respective domains.
In 2013, Ponnusamy et al. [3] introduced a class:
and they proved that functions in are close-to-convex.
Recently, Ghosh and Vasudevarao [4] defined a class for :
and they investigated coefficient bounds, growth estimates, convolution, and radius of convexity for the partial sums of the members of their class.
Also, Rajbala and Prajapat [5] studied such properties of the class
where .
In 2014, Nagpal and Ravichandran [6] studied a class of functions satisfying the condition for , which is a harmonic analogue of the class defined by Chichra [7] consisting of the functions satisfying the condition for . In 1977, Chichra [7] studied the class for some where consisting of the analytic function such that
for
Recently, Liu and Yang [8] defined a class:
where
Next, Çakmak and et al. [9] investigated some properties of the class
where and
Finally, Breaz et al. [10] defined a subclass:
where
Other interesting studies of harmonic mappings that inspired us in this work are [11,12,13,14,15]. In [11], new subclasses of harmonic functions are introduced for which coefficient inequality results and distortion bounds are obtained. An investigation is conducted on a subset of univalent, sense-preserving, complex-valued close-to-convex harmonic functions in the open unit disc in [12] and the coefficient and growth estimates are obtained, an area theorem is established, and boundary dynamics and convolution and convex combination features are examined. Other subclasses of harmonic functions are examined in the other papers listed above, concerning distortion limits and univalence conditions, extreme points, partial sum problems, and convolution-related properties.
For the study presented in this paper, the following class is considered.
Denote by the class of functions and satisfy
where and
Let denote a class of functions such that
Al-Refai [16], studied the inclusion properties of the class .
In Section 2, we derive bounds for coefficients and estimates for growth and establish sufficient conditions for coefficients within the class . In Section 3, we demonstrate that the class maintains closure under convex combinations and convolution operations among its elements. Additionally, in Section 4, graphical representations of some function examples belonging to this class will be given.
2. The Sharp Coefficient Estimates and Growth Theorems of
In this section, we shall investigate the necessary and sufficient coefficient conditions and distortion bounds for functions belonging to the class
Theorem 1.
The mapping if and only if for each μ such that
Proof.
Suppose For each
Thus, for each Conversely, let , then,
Setting , . Therefore, . For each fixed and arbitrarily chosen complex number with that is, (3) becomes
and hence, □
Theorem 2.
Let the function f be in the form (1) and , then, for
The result is sharp and equality holds for the function
Proof.
Suppose that Using the series representation of and we derive
Allowing we prove the result (4). Moreover, it can be easily seen that the equality is achieved for . □
Theorem 3.
Let the function f be in the form (1) and . Then, for we have
All the results given in this theorem are certain and the equations are provided for the following function
Proof.
Suppose that then, from Theorem 1, for each Thus, for each we have
for Therefore, there exists an analytic function p of the form with a positive real part in such that
Comparing coefficients on both sides of (5), we have
Since for and is arbitrary, the proof of (i) is complete. By following the methods in proof (i), proof (ii) and proof (iii) are obtained. For the function shows that all inequalities are sharp. □
Now, we give a sufficient condition for a function to be in the class
Theorem 4.
Let with
then,
Proof.
Suppose that Then, using (6),
Hence, □
Theorem 5.
Let for Then,
Inequalities are sharp for the function
Proof.
Let Then, using Theorem 1, and for each , we have , where
Thus, we obtain
and
Making substitution and simplifying yields
and
Now, integrating (8) and making substitution produces
On the other hand, since Re, then , where “≺” denotes subordination (see [2]). Let
Thus, we obtain
and
Since is arbitrary, we have
Since
and
in particular, we have
and
Then,
and
Since is arbitrary, we have (7). □
3. Convex Combinations and Convolutions
This section explores the properties of convex combinations and convolutions within the class of harmonic mappings. Additionally, this section introduces the concept of the Hadamard product, a convolution of a harmonic function with an analytic function, and proves its closure property under certain conditions on the analytic function.
Overall, these results contribute to a deeper understanding of the structural properties of harmonic mappings in the class , providing foundational insights and analytical tools for further study.
Theorem 6.
The class is closed under convex combinations.
Proof.
Suppose for and The convex combination of functions may be written as
where
Then, both h and g are analytic in with and
showing that . □
A sequence of non-negative real numbers is said to be a convex null sequence, if as , and We shall require the following Lemma 1 and Lemma 2 to prove the results of the convolution.
Lemma 1
([17]). If is a convex null sequence, then function
is analytic and in
Lemma 2
([18]). Let the function p be analytic in Δ with and in Then, for any analytic function Ϝ in the function takes values in the convex hull of the image of Δ under
Lemma 3.
Let then
Proof.
Suppose is given by then
which is equivalent to in where
Now consider a sequence defined by
It can be easily seen that the sequence is a convex null sequence. Using Lemma 1, this implies that the function
is analytic and in Writing
and making use of Lemma 2 shows that for □
Lemma 4.
Let for Then, ∈
Proof.
Suppose and Then, the convolution of and is defined by
Since , we then have
Since
and using Lemma 3, in Now, applying Lemma 2 to (9) yields
in Thus, ∈ □
Now, using Lemma 4, we prove that the class is closed under convolutions of its members.
Theorem 7.
Let for Then, ∈
Proof.
Suppose . Then, the convolution of and is defined as In order to prove that ∈ we need to prove that for each By Lemma 4, the class is closed under convolutions for each for Then, both and given by
belong to . Since is closed under convex combinations, then the function
belongs to . Hence, is closed under convolution. □
Now, we consider the Hadamard product of a harmonic function with an analytic function, which is defined by Goodloe [19] as
where is a harmonic function and is an analytic function in
Theorem 8.
Let and be such that for then, ∈
Proof.
Suppose that then, for each By Theorem 1, to show that ∈ we need to show that ∈ for each Write as and
Since and in Lemma 2 proves that . □
Corollary 1.
Let and then,
Proof.
Suppose then, for As a corollary of Theorem 8, ∈ □
4. Graphical Representation
Graphical representation is pivotal in understanding harmonic functions by providing visual insights into their behavior and properties. Graphical representations, such as plots and diagrams, offer a tangible way to grasp their oscillatory patterns, amplitude variations, and phase shifts. Visualizing graphs allows one to discern key features like nodes, antinodes, and resonance frequencies, which are crucial for analyzing phenomena ranging from acoustics to electromagnetic fields.
Harmonic functions, which satisfy Laplace’s equation and exhibit qualities such as periodicity and symmetry, can often be complex to comprehend through equations alone. Moreover, graphical representation facilitates the comparison of different harmonic functions, aiding in identifying similarities, differences, and underlying mathematical relationships. Thus, in the realm of harmonic functions, graphical representation serves as an indispensable tool for elucidating their intricate nature and enhancing conceptual understanding.
These visual tools not only aid in the comprehension of abstract concepts but also serve as powerful aids in educational settings. They help students and researchers alike to bridge the gap between theoretical formulations and practical understanding. By providing a concrete representation, graphical methods can illuminate subtle aspects of harmonic functions that might otherwise be overlooked. Hence, the use of graphical representation is essential in both learning and teaching environments for a more intuitive grasp of harmonic phenomena.
In this section, we will examine where the unit disk is mapped under these functions for the special values of the functions in this article.
Example 1.
Consider the function in Theorem 2. Let and . Then, .
With the help of Figure 1, it can be seen which region the unit disk transforms into under the function f. In general, these graphs provide a visual representation of the effect of the transformation on geometric shapes in the complex plane. Figure 1a shows the unit disk, while Figure 1b shows their transformed images, showing how the complex function changes the points on the unit disk.
Figure 1.
(a) shows the unit disk. (b) is the image of the unit disk under f.
In Figure 2, the 3D graph of the unit disk under the f function will be examined. To better understand the three-dimensional image to be drawn, we have drawn circles in different colors inside the unit disk. If we imagine that the circles of different colors we have drawn are filled with the same colors, we can find out in which region the f function transforms the different colors on the unit disk.
Figure 2.
(a) shows the unit disk. (b) is 3D plot of the unit disk under f.
This example also shows us that is a non-empty subclass of harmonic functions defined by a differential inequality.
Now, we will look at these applications for a different function and examine what the unit disk will look like under the new f function. As in Example 1, first, the image set under the given function and then the three-dimensional drawing of the unit disk will be given. In Example 1, we derived the function from Theorem 2; now, it will be derived from Theorem 3.
Example 2.
Consider the function in Theorem 3. Let and . Then, . The region into which the function f used here transforms the unit disk is shown in Figure 3.
Figure 3.
(a) shows the unit disk. (b) is the image of the unit disk under f.
We will now examine the 3D graph of the function defined in Example 2 (Figure 4).
Figure 4.
(a) shows the unit disk. (b) is 3D plot of the unit disk under f.
Example 3.
Consider the function in Theorem 3. Let and . Then, . The region into which the function f used here transforms the unit disk is shown in Figure 5.
Figure 5.
(a) shows the unit disk. (b) is the image of the unit disk under f.
5. Discussion
We obtained sharp coefficient bounds and growth estimates for the subclass, providing necessary and sufficient conditions for functions to be included. Through Theorem 1, we showed that the class is related to the well-established class of harmonic functions by a convolution operation, indicating structural robustness. The closure properties of the subclass under convex combinations and convolutions were established. The graphical examples provided a vivid understanding of how these functions map the unit disk, illustrating their geometric transformations. Through various examples, the graphs demonstrated the impact of different coefficients on the transformation of the unit disk, offering insights into the shape and behavior of the resulting regions. The 3D plots expanded the visual perspective, allowing a more comprehensive view of the transformations, emphasizing how harmonic functions influence the unit disk. Overall, these results contribute to the ongoing study of harmonic functions and their complex mappings. The graphical representations serve as a bridge between theory and visualization, enhancing comprehension and providing tangible insights into the behavior of harmonic functions under specific constraints. These visualizations can aid in identifying patterns and structures that may not be immediately apparent through theoretical analysis alone. The findings from this exploration open the door to further studies, particularly in the areas of geometric function theory and applied mathematics, where understanding the structure and transformation of harmonic functions is crucial.
Author Contributions
Conceptualization, S.Y., H.B. and G.I.O.; methodology, S.Y., H.B. and G.I.O.; software, S.Y., H.B. and G.I.O.; validation, S.Y., H.B. and G.I.O.; formal analysis, S.Y., H.B. and G.I.O.; investigation, S.Y., H.B. and G.I.O.; resources, S.Y., H.B. and G.I.O.; data curation, S.Y., H.B. and G.I.O.; writing—original draft preparation, S.Y. and H.B.; writing—review and editing, S.Y., H.B. and G.I.O.; visualization, S.Y., H.B. and G.I.O.; supervision, S.Y.; project administration, H.B.; funding acquisition, G.I.O. 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 the study are included in the article, further inquiries can be directed to the corresponding authors.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Clunie, J.; Sheil-Small, T. Harmonic univalent functions. Ann. Acad. Sci. Fenn. Ser. A. I. Math. 1984, 9, 3–25. [Google Scholar] [CrossRef]
- Duren, P. Harmonic Mappings in the Plane; Cambridge Tracts in Mathematics, 156; Cambridge University Press: Cambridge, UK, 2004. [Google Scholar]
- Ponnusamy, S.; Yamamoto, H.; Yanagihara, H. Variability regions for certain families of harmonic univalent mappings. Complex Var. Elliptic Equ. 2013, 58, 23–34. [Google Scholar] [CrossRef]
- Ghosh, N.; Vasudevarao, A. On a subclass of harmonic close-to-convex mappings. Monatsh. Math. 2019, 188, 247–267. [Google Scholar] [CrossRef]
- Mathi, M.; Prajapat, J.K. On a subclass of close-to-convex harmonic mappings. Asian-Eur. J. Math. 2021, 14, 2150102. [Google Scholar] [CrossRef]
- Nagpal, S.; Ravichandran, V. Construction of subclasses of univalent harmonic mappings. J. Korean Math. Soc. 2014, 53, 567–592. [Google Scholar] [CrossRef]
- Chichra, P.N. New subclass of the class of close-to-convex function. Proc. Am. Math. Soc. 1977, 62, 37–43. [Google Scholar] [CrossRef]
- Liu, M.S.; Yang, L.M. Geometric properties and sections for certain subclasses of harmonic mappings. Monatshefte für Mathematik 2019, 190, 353–387. [Google Scholar] [CrossRef]
- Çakmak, S.; Yasar, E.; Yalcin, S. Some basic geometric properties of a subclass of harmonic mappings. Bol. Soc. Mat. Mex. 2022, 28, 54. [Google Scholar] [CrossRef]
- Breaz, D.; Durmuş, A.; Yalçın, S.; Cotîrlă, L.-I.; Bayram, H. Certain Properties of Harmonic Functions Defined by a Second-Order Differential Inequality. Mathematics 2023, 11, 4039. [Google Scholar] [CrossRef]
- Çaglar, M.; Cotîrlă, L.-I.; Cătaș, A. A new family of harmonic functions defined by an integral operator. Acta Univ. Apulensis Math. Inform. 2022, 72, 1–13. [Google Scholar] [CrossRef]
- Nagpal, S.; Ravichandran, V. A subclass of close-to-convex harmonic mappings. Complex Var. Elliptic Equ. 2014, 59, 204–216. [Google Scholar] [CrossRef][Green Version]
- Silverman, H.; Silva, E.M. Subclasses of harmonic univalent functions. N. Z. J. Math. 1999, 28, 275–284. [Google Scholar]
- Murugusundaramoorthy, G.; Vijaya, K.; Breaz, D.; Cotîrlă, L.-I. Subclasses of Noshiro-Type Starlike Harmonic Functions Involving q-Srivastava–Attiya Operator. Mathematics 2023, 11, 4711. [Google Scholar] [CrossRef]
- Oros, G.I.; Yalçın, S.; Bayram, H. Some Properties of Certain Multivalent Harmonic Functions. Mathematics 2023, 11, 2416. [Google Scholar] [CrossRef]
- Al-Refai, O. Some properties for a class of analytic functions defined by a higher-order differential inequality. Turk. J. Math. 2019, 43, 2473–2493. [Google Scholar] [CrossRef]
- Fejér, L. Über die Positivität von Summen, die nach trigonometrischen oder Legendreschen Funktionen fortschreiten. Acta Litt. Sci. Szeged 1925, 2, 75–86. [Google Scholar]
- Singh, R.; Singh, S. Convolution properties of a class of starlike functions. Proc. Am. Math. Soc. 1989, 106, 145–152. [Google Scholar] [CrossRef]
- Goodloe, M. Hadamard products of convex harmonic mappings. Complex Var. Theory Appl. 2002, 47, 81–92. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).