Abstract
The aim of this paper is to find formulas for the solutions of the nonlinear system of difference equations related to symmetry where the initial conditions , and are arbitrary real numbers. Moreover, the theoretical results are verified through several numerical examples, which are simulated and graphically illustrated using mathematical programs.
1. Introduction
Nonlinear difference equations (NDEs) have recently gained significant attention from many researchers. Over the past decade, there has been a notable surge in interest in these types of equations. Their widespread applications across various fields not only in mathematics, but also in related disciplines such as biological sciences, engineering, ecology, discrete-time systems, economics, and physics, may have contributed to this growing fascination. Recent research has examined various aspects of nonlinear dynamics, including local and global behaviors, boundedness, topological classifications, and chaos analysis [1,2,3]. For instance, Khan et al. [4] investigated these dynamics within the framework of a discrete hepatitis C virus model. Similarly, Lei and Han [5] explored the dynamic behavior of a discrete predator–prey model incorporating fear and Allee effects through both theoretical analysis and numerical simulations.
We anticipate that as more intriguing and impactful results are discovered and shared through research, this area will continue to attract the curiosity of scholars in the coming years. The challenge of obtaining closed-form solutions for (NDEs) has become a central topic in this field of research. Many studies have attempted to address NDEs using various analytical and numerical techniques (see, for example, [6,7,8,9,10]), as these equations are often difficult to solve, especially when seeking exact solutions. To overcome this difficulty, several recent approaches have been proposed to transform complex nonlinear difference equations into linear forms, for which well-established solution techniques exist. For instance, a large class of NDEs has been successfully solved in closed form through linearization methods (see, [11,12,13,14]). Numerous researchers have also examined the dynamical behavior of systems of difference equations (SDEs). For example, Çinar analyzed the solutions of a specific SDE in [15], while Karakay et al. [16] demonstrated that certain subclasses of nonlinear two-dimensional SDEs can be solved in closed form. In addition, Halim et al. [17] provided a general formula for the solutions of two-dimensional SDEs, and El-Dessoky [18] explored the existence and periodic nature of such solutions. Khalil and Elsayed [19] studied systems of rational difference equations of various orders, derived explicit solution formulas for these systems, and analyzed their periodic behavior with different periods. Al-Juaid [20] investigated the structural properties of SDE solutions, whereas Alharbi [21] studied the dynamics of three-dimensional nonlinear SDEs, particularly those of fourth order. Alharthi [22] studied higher-order rational difference equation systems, derived their closed-form solutions, and investigated their periodic behavior. Further related studies on NDEs and SDEs can be found in [1,2,23].
Difference equations serve as suitable models for scenarios where population growth occurs in discrete, seasonal intervals with overlapping generations. In this context, researchers have examined the generalized Beverton–Holt stock recruitment model in [24]. Khaliq et al. [25] conducted a dynamical analysis of a discrete-time Lotka–Volterra model involving a system with two predators and one prey. Din and Elsayed [26] examined the boundedness, persistence, and local and global dynamics of a two-directional interacting invasive species model. In [27], the authors conducted a comprehensive study of the local dynamics of a discrete-time COVID-19 epidemic model, focusing on topological classifications, bifurcation analysis, and chaos control. See also [28,29,30].
In this paper, we focus on the following two-dimensional system, and we provide explicit solutions for several specific cases.
where and the initial conditions and for are arbitrary nonzero real numbers.
The structure of the paper is as follows: Section 2 introduces the system under consideration and outlines the various cases derived from system (1), along with relevant theorems. Section 3 presents numerical simulations that support and validate the theoretical results. Section 4 offers a comprehensive discussion of the findings.
2. The Main Results
2.1. The First Case
In this section, we find the expressions of exact solution of the following system:
Theorem 1.
Proof.
The results hold for . Now for , assume that the results are valid for , as stated below
Now, we prove the first relation.
Therefore,
Then,
hence,
Thus,
Consequently,
Following the same approach, we can verify other forms. The proof is completed. □
2.2. The Second Case
This section is designed to discuss the form of solutions of the following system:
Theorem 2.
Proof.
It is evident that the results hold for the base case . Now for , assume that the results are valid for and are stated as follows:
Now, we will demonstrate the first relation.
Therefore,
Then,
Consequently,
In a similar way, we can prove the remaining relations. The proof is completed. □
2.3. The Third Case
In this part, we show the formula of solutions for the following nonlinear system:
Theorem 3.
Proof.
See Appendix A □
2.4. The Fourth Case
The formula of solutions is explored for the nonlinear system of difference Equation (5) in this section.
Theorem 4.
Proof.
The results are true for . Now for , assume the results hold for and they are given as follows:
We will prove the first formula.
Substituting into the SDEs (5), we get
Accordingly,
Hence,
Consequently,
Likewise, we can prove other formulas. The proof is completed. □
3. Numerical Examples
In this section, we provide several interesting numerical examples that validate our earlier theoretical findings and reinforce the correctness of our proofs. Additionally, these examples demonstrate the behavior of various solutions to the nonlinear systems explored in the previous sections. All of the plots (Figure 1, Figure 2, Figure 3 and Figure 4) in this section were generated using MATLAB (R2024b).
Example 1.
Figure 1.
Representation of behavior of System (2) when , , , , , , , and .
Example 2.
Figure 2.
Behavior of System (3) with , , , , , , , and .
Example 3.
Figure 3.
Expression of the solution of System (4) when , , , , , , , and .
Example 4.
Figure 4.
Plot of solutions of System (5) with , , , , , , , and .
4. Conclusions
This paper examines the dynamics of nonlinear systems of difference equations, with particular emphasis on fourth-order cases. Our primary goal was to provide analytical solutions for various systems by employing an iterative approach to obtain explicit solution formulas for systems of Equation (1) characterized by recursive relationships. We first found the general solution for system (2) and then obtained the solution formulas for systems (3)–(5). To validate the theoretical findings, numerical simulations were performed and visualized using mathematical software. These simulations demonstrate the accuracy and applicability of the solutions. Overall, the results make a meaningful contribution to the study of nonlinear systems and have significant implications for their applications across various scientific disciplines.
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
The authors would like to acknowledge the Deanship of Graduate Studies and Scientific Research, Taif University, for funding this work.
Conflicts of Interest
The authors declare no conflicts of interest.
Appendix A. Proof of Theorem 3
Proof.
The results are true for . Now for , assume the results hold for and they are given as follows:
Now, we verify the first form.
Substituting into the SDEs (4), we get
Then,
that is,
Thus,
Similarly, other formulas can be proven. The proof is completed. □
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