Mathematics (Oct 2023)

Global Asymptotic Stability Analysis of Fixed Points for a Density-Dependent Single-Species Population Growth Model

  • Meilin He,
  • Mingjue Zhu,
  • Xuyang Teng,
  • Zhirui Hu,
  • Wei Feng,
  • Huina Song,
  • Xiyuan Chen,
  • Haiquan Wang

DOI
https://doi.org/10.3390/math11204345
Journal volume & issue
Vol. 11, no. 20
p. 4345

Abstract

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In a density-dependent single-species population growth model, a simple method is proposed to explicitly and directly derive the analytic expressions of reliable regions for local and global asymptotic stability. Specifically, first, a reliable region ΛLAS is explicitly represented by solving the fixed point and utilizing the asymptotic stability criterion, over which the fixed point is locally asymptotically stable. Then, two types of auxiliary Liapunov functions are constructed, where the variation of the Liapunov function is decomposed into the product of two functions and is always negative at the non-equilibrium state. Finally, based on the Liapunov stability theorem, a closed-form expression of reliable region ΛGAS is obtained, where the fixed point is globally asymptotically stable in the sense that all the solutions tend to fixed point. Numerical results show that our analytic expressions of reliable regions are accurate for both local and global asymptotic stability.

Keywords