Mathematical Biosciences and Engineering (Jan 2024)

Stationary distribution and probability density function analysis of a stochastic Microcystins degradation model with distributed delay

  • Ying He ,
  • Yuting Wei,
  • Junlong Tao,
  • Bo Bi

DOI
https://doi.org/10.3934/mbe.2024026
Journal volume & issue
Vol. 21, no. 1
pp. 602 – 626

Abstract

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A stochastic Microcystins degradation model with distributed delay is studied in this paper. We first demonstrate the existence and uniqueness of a global positive solution to the stochastic system. Second, we derive a stochastic critical value $ R_0^s $ related to the basic reproduction number $ R_0 $. By constructing suitable Lyapunov function types, we obtain the existence of an ergodic stationary distribution of the stochastic system if $ R_0^s > 1. $ Next, by means of the method developed to solve the general four-dimensional Fokker-Planck equation, the exact expression of the probability density function of the stochastic model around the quasi-endemic equilibrium is derived, which is the key aim of the present paper. In the analysis of statistical significance, the explicit density function can reflect all dynamical properties of a chemostat model. To validate our theoretical conclusions, we present examples and numerical simulations.

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