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Asymptotic Stability, Bifurcation Analysis and Chaos Control in a Discrete Evolutionary Ricker Population Model with Immigration

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Advances in Discrete Dynamical Systems, Difference Equations and Applications (ICDEA 2021)

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Abstract

This research deals with the derivation and dynamical analysis of a discrete-time evolutionary Ricker population model. The model is built using Evolutionary Game Theory and takes into consideration the effect of immigration. The positive fixed point’s existence and local asymptotic stability are examined. Further, it is shown that the evolutionary model experiences Neimark–Sacker bifurcation (NSB) and period doubling bifurcation (PDB) in a small neighborhood of the positive fixed point under certain conditions. To make the chaotic behavior predictable and stable, three different chaos control strategies are applied. Detailed numerical simulations are carried out to not only verify our theoretical results but also exhibit the rich dynamics of the derived system.

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Acknowledgements

The authors would like to thank Professor Saber Elaydi for his comments on an early draft of this manuscript. K.M. thanks her main supervisor, Professor Saber Elaydi, for the excellent advice and support. The authors also thank the anonymous referees for their valuable comments and suggestions.

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Correspondence to Karima Mokni .

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Mokni, K., Ch-Chaoui, M. (2023). Asymptotic Stability, Bifurcation Analysis and Chaos Control in a Discrete Evolutionary Ricker Population Model with Immigration. In: Elaydi, S., Kulenović, M.R.S., Kalabušić, S. (eds) Advances in Discrete Dynamical Systems, Difference Equations and Applications. ICDEA 2021. Springer Proceedings in Mathematics & Statistics, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-031-25225-9_17

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