A stochastic predator-prey model that depends on the population density of the predator
DOI:
https://doi.org/10.17721/1812-5409.2022/4.1Keywords:
stochastic predator-prey model, predator density dependence, existence and uniqueness of global positive solution, least favourable spectral density matrix, ultimate boundedness, stochastic permanenceAbstract
The system of stochastic differential equations describing a nonautonomous stochastic density-dependent predator-prey model with Holling-type II functional response disturbed by white noise, centered and non-centered Poisson noises is considered. So, in this model we take into account levels of predator density dependence and jumps, corresponding to the centered and non-centered Poisson measures. The existence and uniqueness theorem for the positive, global (no explosions in the finite time) solution of the considered system is proved. We obtain sufficient conditions of stochastic ultimate boundedness and stochastic permanence in the considered stochastic predator-prey model.
Pages of the article in the issue: 11 - 17
Language of the article: English
References
IANNELLI, M., PUGLIESE,A. (2014) An Introduction to Mathematical Population Dynamics. Springer.
LIU, ZH., SHI, N., JIANG, D. AND JI, CH. (2012) The asymptotic behavior of a stochastic predator-prey system with Holling II functional response. Abstract and Applied Analysis. [Online] 2012, article ID801812, 14p. Available from: http://dx.doi.org/10.1155/2012/801812
BORYSENKO, OLG. and BORYSENKO, O. (2021) Long-time behavior of a non-autonomous stochastic predator-prey model with jumps Modern Stochastics: Theory and Applications. 8(1). p. 17-39.
BORYSENKO, O. and BORYSENKO, OLG. (2022) Long-Time Behavior of Stochastic Models of Population Dynamics with Jumps. Stochastic Processes: Fundamentals and Emerging Applications. Ed. by Mikhail Moklyachuk. NewYork, NY: Nova Science Publishers. pp. 37-63.
BORYSENKO OLG. and BORYSENKO O. (2022) Dynamics of the predator-prey model with Beddington-DeAngelis functional response perturbed by Levy noise, Statistics, Optimization and Information Computing. [Online], 14p. Available from: http://www.iapress.org/index.php/soic/article/view/1189
GIKHMAN, I.I. and SKOROKHOD, A.V. (1982) Stochastic Differential Equations and its Applications. Kyiv, Naukova Dumka.
LIPSTER, R. (1980) A strong law of large numbers for local martingales. Stochastics. vol. 3. pp. 217-228.
LI, X. and MAO, X. (2009) Population Dynamical Behavior of Non-Autonomous Lotka-Volterra Competitive System with Random Perturbation. Discrete & Continuous Dynamical Systems. 24. p.523-545.
Downloads
Published
Issue
Section
License
Copyright (c) 2022 O. D. Borysenko, O. V. Borysenko

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
