Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11301
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dc.contributor.authorGhosh, Bapanen_US
dc.date.accessioned2023-02-26T06:42:53Z-
dc.date.available2023-02-26T06:42:53Z-
dc.date.issued2022-
dc.identifier.citationGhosh, B., Barman, B., & Saha, M. (2022). Multiple dynamics in a delayed predator-prey model with asymmetric functional and numerical responses. Mathematical Methods in the Applied Sciences, doi:10.1002/mma.8825en_US
dc.identifier.issn0170-4214-
dc.identifier.otherEID(2-s2.0-85144060918)-
dc.identifier.urihttps://doi.org/10.1002/mma.8825-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/11301-
dc.description.abstractWe consider a predator-prey model with dissimilar functional and numerical responses that induce an Allee effect. There is a time lag between consumption and digestion of prey biomass by predator. Hence, a time delay has been incorporated in the numerical response function. The system consists of two interior equilibria. Taking time delay as the bifurcation parameter, four different dynamic behaviors appear, viz., (R1) system undergoes no change in its stability for all time delay, (R2) system undergoes stability change, (R3) system undergoes stability switching, and (R4) system undergoes instability switching. Here, finding four distinct dynamics in a single population model with only one delay is a novelty in this contribution. This variation in dynamics emerges due to asymmetricity in functional and numerical responses. All the relevant theorems in establishing stability are provided, and these are verified numerically. We analytically prove that if an interior equilibrium is a saddle point in absence of time delay, then the equilibrium cannot be stabilized by varying the time delay. It is popularly believed that existence of two distinct pair of purely imaginary roots of the characteristic function leads to stability switching. However, we provide examples where the system remains unstable, stability changes, and instability switching occurs. This is another new and interesting observation in our work. The numerical examples are furnished with phase portraits, time series plots, bifurcation diagrams, and eigenvalues evaluation with delay, for better understanding. Our model with a single delay exhibits variety of dynamics, which were not explored before. © 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.subjectDynamicsen_US
dc.subjectEcologyen_US
dc.subjectEigenvalues and eigenfunctionsen_US
dc.subjectNumerical modelsen_US
dc.subjectPopulation dynamicsen_US
dc.subjectPopulation statisticsen_US
dc.subjectPredator prey systemsen_US
dc.subjectSystem stabilityen_US
dc.subjectTime delayen_US
dc.subjectAllee effectsen_US
dc.subjectEigen-valueen_US
dc.subjectFunctional responseen_US
dc.subjectInstability switchingen_US
dc.subjectNumerical responseen_US
dc.subjectPredator-prey modelingen_US
dc.subjectSaddle pointen_US
dc.subjectStability switchingen_US
dc.subjectTime lagen_US
dc.subjectTime-delaysen_US
dc.subjectBifurcation (mathematics)en_US
dc.titleMultiple dynamics in a delayed predator-prey model with asymmetric functional and numerical responsesen_US
dc.typeJournal Articleen_US
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