On inverse problems in predator-prey models

Fuente: arXiv
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Autori principali: Li, Yuhan, Liu, Hongyu, Lo, Catharine W. K.
Natura: Preprint
Pubblicazione: 2023
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author Li, Yuhan
Liu, Hongyu
Lo, Catharine W. K.
author_facet Li, Yuhan
Liu, Hongyu
Lo, Catharine W. K.
contents In this paper, we consider the inverse problem of determining the coefficients of interaction terms within some Lotka-Volterra models, with support from boundary observation of its non-negative solutions. In the physical background, the solutions to the predator-prey model stand for the population densities for predator and prey and are non-negative, which is a critical challenge in our inverse problem study. We mainly focus on the unique identifiability issue and tackle it with the high-order variation method, a relatively new technique introduced by the second author and his collaborators. This method can ensure the positivity of solutions and has broader applicability in other physical models with non-negativity requirements. Our study improves this method by choosing a more general solution $(u_0,v_0)$ to expand around, achieving recovery for all interaction terms. By this means, we improve on the previous results and apply this to physical models to recover coefficients concerning compression, prey attack, crowding, carrying capacity, and many other interaction factors in the system. Finally, we apply our results to study three specific cases: the hydra-effects model, the Holling-Tanner model and the classic Lotka-Volterra model.
format Preprint
id arxiv_https___arxiv_org_abs_2312_09653
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On inverse problems in predator-prey models
Li, Yuhan
Liu, Hongyu
Lo, Catharine W. K.
Analysis of PDEs
Populations and Evolution
35R30, 35B09, 35K51, 35Q92, 92-10, 92D25, 35K58
In this paper, we consider the inverse problem of determining the coefficients of interaction terms within some Lotka-Volterra models, with support from boundary observation of its non-negative solutions. In the physical background, the solutions to the predator-prey model stand for the population densities for predator and prey and are non-negative, which is a critical challenge in our inverse problem study. We mainly focus on the unique identifiability issue and tackle it with the high-order variation method, a relatively new technique introduced by the second author and his collaborators. This method can ensure the positivity of solutions and has broader applicability in other physical models with non-negativity requirements. Our study improves this method by choosing a more general solution $(u_0,v_0)$ to expand around, achieving recovery for all interaction terms. By this means, we improve on the previous results and apply this to physical models to recover coefficients concerning compression, prey attack, crowding, carrying capacity, and many other interaction factors in the system. Finally, we apply our results to study three specific cases: the hydra-effects model, the Holling-Tanner model and the classic Lotka-Volterra model.
title On inverse problems in predator-prey models
topic Analysis of PDEs
Populations and Evolution
35R30, 35B09, 35K51, 35Q92, 92-10, 92D25, 35K58
url https://arxiv.org/abs/2312.09653