The Beverton-Hold Model on Isolated Time Scales
Abstract
In this work, we formulate the Beverton-Holt model on isolated time scales and extend existing results known in the discrete and quantum calculus cases. Applying a recently introduced definition of periodicity for arbitrary isolated time scales, we discuss the effects of periodicity onto a population modeled by a dynamic version of the Beverton-Holt equation. The first main theorem provides conditions for the existence of a unique !-periodic solution that is globally asymptotically stable, which addresses the first Cushing-Henson conjecture on isolated time scales. The second main theorem concerns the generalization of the second Cushing-Henson conjecture. It investigates the effects of periodicity by deriving an upper bound for the average of the unique periodic solution. The obtained upper bound reveals a dependence on the underlying time structure, not apparent in the classical case. This work also extends existing results for the Beverton-Holt model in the discrete and quantum cases, and it complements existing conclusions on periodic time scales. This work can furthermore guide other applications of the recently introduced periodicity on isolated time scales.
Recommended Citation
M. Bohner et al., "The Beverton-Hold Model on Isolated Time Scales," Mathematical Biosciences and Engineering, vol. 19, no. 11, pp. 11693 - 11716, AIMS Press, Jan 2022.
The definitive version is available at https://doi.org/10.3934/mbe.2022544
Department(s)
Mathematics and Statistics
Keywords and Phrases
Beverton-Holt Equation; Cushing-Henson Conjecture; Isolated Time Scale; Periodic Solutions; Periodicity Concept
International Standard Serial Number (ISSN)
1551-0018; 1547-1063
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2022 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jan 2022
Comments
The second author acknowledges partial support by the project UnB DPI/DPG - 03/2020 and CNPq grant 307582/2018-3.