A way to model stochastic perturbations in population dynamics models with bounded realizations
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866910296160862208 |
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| author | Caraballo, Tomás Colucci, Renato López-de-la-Cruz, Javier Rapaport, Alain |
| author_facet | Caraballo, Tomás Colucci, Renato López-de-la-Cruz, Javier Rapaport, Alain |
| contents | In this paper, we analyze the use of the Ornstein-Uhlenbeck process to model dynamical systems subjected to bounded noisy perturbations. In order to discuss the main characteristics of this new approach we consider some basic models in population dynamics such as the logistic equations and competitive Lotka-Volterra systems. The key is the fact that these perturbations can be ensured to keep inside some interval that can be previously fixed, for instance, by practitioners, even though the resulting model does not generate a random dynamical system. However, one can still analyze the forwards asymptotic behavior of these random differential systems. Moreover, to illustrate the advantages of this type of modeling, we exhibit an example testing the theoretical results with real data, and consequently one can see this method as a realistic one, which can be very useful and helpful for scientists. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_06934 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A way to model stochastic perturbations in population dynamics models with bounded realizations Caraballo, Tomás Colucci, Renato López-de-la-Cruz, Javier Rapaport, Alain Dynamical Systems Primary: 92D25, 34F05. Secondary: 34C60 In this paper, we analyze the use of the Ornstein-Uhlenbeck process to model dynamical systems subjected to bounded noisy perturbations. In order to discuss the main characteristics of this new approach we consider some basic models in population dynamics such as the logistic equations and competitive Lotka-Volterra systems. The key is the fact that these perturbations can be ensured to keep inside some interval that can be previously fixed, for instance, by practitioners, even though the resulting model does not generate a random dynamical system. However, one can still analyze the forwards asymptotic behavior of these random differential systems. Moreover, to illustrate the advantages of this type of modeling, we exhibit an example testing the theoretical results with real data, and consequently one can see this method as a realistic one, which can be very useful and helpful for scientists. |
| title | A way to model stochastic perturbations in population dynamics models with bounded realizations |
| topic | Dynamical Systems Primary: 92D25, 34F05. Secondary: 34C60 |
| url | https://arxiv.org/abs/2401.06934 |