Steady States of a Diffusive Population-Toxicant Model with Negative Toxicant-Taxis

IF 1.2 4区 数学 Q2 MATHEMATICS, APPLIED Acta Applicandae Mathematicae Pub Date : 2024-04-12 DOI:10.1007/s10440-024-00646-1
Jiawei Chu
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Abstract

This paper is dedicated to studying the steady state problem of a population-toxicant model with negative toxicant-taxis, subject to homogeneous Neumann boundary conditions. The model captures the phenomenon in which the population migrates away from regions with high toxicant density towards areas with lower toxicant concentration. This paper establishes sufficient conditions for the non-existence and existence of non-constant positive steady state solutions. The results indicate that in the case of a small toxicant input rate, a strong toxicant-taxis mechanism promotes population persistence and engenders spatially heterogeneous coexistence (see, Theorem 2.3). Moreover, when the toxicant input rate is relatively high, the results unequivocally demonstrate that the combination of a strong toxicant-taxis mechanism and a high natural growth rate of the population fosters population persistence, which is also characterized by spatial heterogeneity (see, Theorem 2.4).

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具有负毒性-税收的扩散种群-毒素模型的稳定状态
本文致力于研究一个具有负毒物税的人口-毒物模型的稳态问题,该模型受均质 Neumann 边界条件的限制。该模型捕捉了人口从毒物密度高的地区向毒物浓度低的地区迁移的现象。本文建立了非常数正稳态解不存在和存在的充分条件。结果表明,在毒物输入率较小的情况下,强毒物-税收机制会促进种群持续存在,并产生空间异质共存(见定理 2.3)。此外,当毒物输入率相对较高时,结果明确表明,强毒物-税收机制与高种群自然增长率的结合促进了种群的持久性,这种持久性也具有空间异质性的特征(见定理 2.4)。
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来源期刊
Acta Applicandae Mathematicae
Acta Applicandae Mathematicae 数学-应用数学
CiteScore
2.80
自引率
6.20%
发文量
77
审稿时长
16.2 months
期刊介绍: Acta Applicandae Mathematicae is devoted to the art and techniques of applying mathematics and the development of new, applicable mathematical methods. Covering a large spectrum from modeling to qualitative analysis and computational methods, Acta Applicandae Mathematicae contains papers on different aspects of the relationship between theory and applications, ranging from descriptive papers on actual applications meeting contemporary mathematical standards to proofs of new and deep theorems in applied mathematics.
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