On the Bifurcation Behavior of Decoupled Systems of Difference Equations

This paper, we study systems of difference equations numerically and theoretically. These systems have been examined by many researchers. We focus on their general forms and limits. We consider different orders of difference systems. In certain cases, we use a computer in order to verify the summation laws that we encountered. We consider a system with two parameters. For certain values of the parameters, we determine the explicit form of the solution and show that the limit of this sequence tends to zero. We show that for the values of a parameter between 0 and 1, the limit of the sequence is a nonzero value, while for the values greater than 1, the limit of the sequence becomes zero.

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Journal
Axioms
Published
2025-05-28
DOI
https://doi.org/10.3390/axioms14060416
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

On the Bifurcation Behavior of Decoupled Systems of Difference Equations

Saleem Al-Ashhab, A. Alameer
Axioms
Mathematical and Theoretical Epidemiology and Ecology Models
article

On the Bifurcation Behavior of Decoupled Systems of Difference Equations

Saleem Al-Ashhab, A. Alameer
article en

Abstract

This paper, we study systems of difference equations numerically and theoretically. These systems have been examined by many researchers. We focus on their general forms and limits. We consider different orders of difference systems. In certain cases, we use a computer in order to verify the summation laws that we encountered. We consider a system with two parameters. For certain values of the parameters, we determine the explicit form of the solution and show that the limit of this sequence tends to zero. We show that for the values of a parameter between 0 and 1, the limit of the sequence is a nonzero value, while for the values greater than 1, the limit of the sequence becomes zero.

AxiomsVol. 14(6)
Al al-Bayt University (JO), University of Hafr Al-Batin (SA)
Openalex Percentile: Top 83%
Mathematical and Theoretical Epidemiology and Ecology Models
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