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Research Article | Open Access

Statistical property analysis for a stochastic chemostat model with degenerate diffusion

Jingen Yang1Zhong Zhao1Xinyu Song1,2( )
School of Mathematics and Statistics, Huanghuai University, Zhumadian 463000, China
School of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, China
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Abstract

By considering the fact that the growth of microorganisms in a chemostat is subject to white noise, we construct a stochastic chemostat model with degenerate diffusion by using a discrete Markov chain. By solving the corresponding Fokker-Planck equation, we derive the explicit expression of the stationary joint probability density, which peaks near the deterministic equilibrium. Next, we simulate the the marginal probability density functions for different noise intensities and further discuss the relationship of the marginal probability density function and noise intensities. For the statistical properties of the stochastic model, we mainly investigate the effect of white noise on the variance and skewness of the concentration of microorganisms.

CLC number: 92B05, 60H10

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AIMS Mathematics
Pages 1757-1769

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Cite this article:
Yang J, Zhao Z, Song X. Statistical property analysis for a stochastic chemostat model with degenerate diffusion. AIMS Mathematics, 2023, 8(1): 1757-1769. https://doi.org/10.3934/math.2023090

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Received: 19 August 2022
Revised: 11 October 2022
Accepted: 13 October 2022
Published: 15 January 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)