Effective Methods on Determining the Periodicity and Form of Solutions of Some Systems of Nonlinear Difference Equations
Julius Fergy T. Rabago

TL;DR
This paper revisits and extends previous studies on nonlinear difference equations, offering a more theoretical approach to analyze the periodicity and solutions of higher-order systems with potential applications in modeling real-world phenomena.
Contribution
It introduces a new theoretical method for analyzing the periodicity and solutions of nonlinear difference systems, generalizing earlier models and providing deeper qualitative insights.
Findings
Re-examination of previous results with a new approach
Analysis of higher-order nonlinear difference systems
Potential applications in modeling periodic real-life phenomena
Abstract
Recently, various systems of nonlinear difference equations, of different forms, were studied. In this existing work, two earlier published papers, due respectively to Bayram and Das. [Appl. Math. Sci. (Ruse), 4(7) (2010) pp. 817-821] and Elsayed [Fasciculi Mathematici, 40 (2008), pp. 5-13], are revisited. The results exhibited in these previous investigations are re-examined through a new approach, more theoretical and explanative compared to the ones offered in these aforementioned works. Furthermore, the qualitative behavior of solutions of a system of nonlinear difference equations of higher-order is investigated through analytical methods. The system, which is considered here, generalizes those that are first presented in [Fasciculi Mathematici, 40 (2008), pp. 5-13] but are treated differently from this pre-existing work. The results delivered here are important, not only for the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Advanced Differential Equations and Dynamical Systems · Nonlinear Differential Equations Analysis
