DYNAMICAL BEHAVIOR OF A STOCHASTIC FOOD CHAIN CHEMOSTAT MODEL WITH VARIABLE YIELDS

IF 1.3 4区 数学 Q3 BIOLOGY Journal of Biological Systems Pub Date : 2023-04-27 DOI:10.1142/s0218339023500225
Xiaojuan Liu, Shulin Sun
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引用次数: 1

Abstract

In this paper, we consider a stochastic food chain chemostat model with variable yields. First, we prove the stochastic model has a unique global positive solution. Second, by employing suitable Lyapunov functions, Itô[Formula: see text] formula and some other important inequalities, the existence of a unique ergodic stationary distribution of a stochastic food chain chemostat model is researched, which can help us better understand the statistical characteristics of stochastic food chain chemostat models. Second, we investigate the extinction of the microorganism and the bacteria. Moreover, the case of extinction for bacteria but persistence for microbial species is considered. Finally, some numerical simulations are carried out to illustrate our theoretical results and the influence of the variable yields on the microorganism and the bacteria.
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变产量随机食物链恒化模型的动力学行为
本文考虑了一个随机的变产量食物链恒化模型。首先,我们证明了随机模型具有唯一的全局正解。其次,通过采用合适的Lyapunov函数、Itô[公式:见文]公式和其他一些重要不等式,研究了随机食物链恒化模型的唯一遍历平稳分布的存在性,这有助于我们更好地理解随机食物链恒化模型的统计特性。其次,我们研究了微生物和细菌的灭绝。此外,还考虑了细菌灭绝而微生物物种持续存在的情况。最后,进行了数值模拟来说明我们的理论结果以及变产率对微生物和细菌的影响。
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
31
审稿时长
1 months
期刊介绍: The Journal of Biological Systems is published quarterly. The goal of the Journal is to promote interdisciplinary approaches in Biology and in Medicine, and the study of biological situations with a variety of tools, including mathematical and general systems methods. The Journal solicits original research papers and survey articles in areas that include (but are not limited to): Complex systems studies; isomorphies; nonlinear dynamics; entropy; mathematical tools and systems theories with applications in Biology and Medicine. Interdisciplinary approaches in Biology and Medicine; transfer of methods from one discipline to another; integration of biological levels, from atomic to molecular, macromolecular, cellular, and organic levels; animal biology; plant biology. Environmental studies; relationships between individuals, populations, communities and ecosystems; bioeconomics, management of renewable resources; hierarchy theory; integration of spatial and time scales. Evolutionary biology; co-evolutions; genetics and evolution; branching processes and phyllotaxis. Medical systems; physiology; cardiac modeling; computer models in Medicine; cancer research; epidemiology. Numerical simulations and computations; numerical study and analysis of biological data. Epistemology; history of science. The journal will also publish book reviews.
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