Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11109
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dc.contributor.authorGhosh, Bapanen_US
dc.date.accessioned2022-11-25T12:04:26Z-
dc.date.available2022-11-25T12:04:26Z-
dc.date.issued2022-
dc.identifier.citationGhosh, B., Sarda, S., & Sahu, S. (2022). Torus doubling route to chaos and chaos eradication in delayed discrete-time predator–prey models. Mathematical Methods in the Applied Sciences, doi:10.1002/mma.8789en_US
dc.identifier.issn0170-4214-
dc.identifier.otherEID(2-s2.0-85141414891)-
dc.identifier.urihttps://doi.org/10.1002/mma.8789-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/11109-
dc.description.abstractThis paper analyses a class of discrete-time delayed predator–prey models where time delay is incorporated into the prey's density-dependent growth term. We explore how time delay, carrying capacity, and harvesting can generate or suppress chaotic motion. Analytical conditions for local stability of the fixed point are derived by using the Routh–Hurwitz criterion. Increasing the time delay has the great potential to change the coexisting stable fixed point to unstable via a Neimark–Sacker bifurcation. Thus, the systems may experience quasi-periodic and chaotic motion when the coexisting fixed point is unstable. The existence of a quasi-periodic loop, which generates a 2-quasi-periodic loop, and then 4, 8, and 16 quasi-periodic loops are successively detected as the carrying capacity increases. Further increase of carrying capacity induces chaos. Thus, a torus doubling route to chaos is explored in our article, which has been relatively less reported in the existing literature. Nevertheless, we show that harvesting either prey or predator is more likely to suppress chaos and stabilize the coexisting steady state. We draw all the bifurcation diagrams when delay, carrying capacity, and harvesting strength are varied. The qualitative nature of the phase portraits is determined by computing all the Lyapunov exponents. The analysis of these delayed models in a discrete-time framework might attract a wide range of researchers to work in this direction. In the conclusion section, we also disclose some remaining questions and future perspectives. © 2022 John Wiley & Sons, Ltd.en_US
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Ltden_US
dc.sourceMathematical Methods in the Applied Sciencesen_US
dc.subjectBifurcation (mathematics)en_US
dc.subjectChaos theoryen_US
dc.subjectHarvestingen_US
dc.subjectLyapunov functionsen_US
dc.subjectLyapunov methodsen_US
dc.subjectPredator prey systemsen_US
dc.subjectTime delayen_US
dc.subjectDiscrete timeen_US
dc.subjectDoubling routeen_US
dc.subjectLyapunov exponenten_US
dc.subjectNeimark-Sacker bifurcationen_US
dc.subjectPredator-prey modelingen_US
dc.subjectQuasi-periodicen_US
dc.subjectRoutes to chaosen_US
dc.subjectRouth-Hurwitz criterionen_US
dc.subjectTime-delaysen_US
dc.subjectTorus doublingen_US
dc.subjectDifference equationsen_US
dc.titleTorus doubling route to chaos and chaos eradication in delayed discrete-time predator–prey modelsen_US
dc.typeConference Paperen_US
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