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Stochastic model of population growth and spread

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Abstract

A stochastic model for the population regulated by logistic growth and spreading in a given region of two-or three-dimensional space has been introduced. For many-species population the interactions among the species have also been icorporated in this model. From the random variables that describe stochastic processes of a Wiener type the space-dependent random population densities have been formed and shown to satisfy the Langevin equations. The Fokker-Planck equation corresponding to these Langevin equations has been approximately solved for the transition probability of the population spreading and it has been found that such approximate expressions of the transition probability depend on the solutions of the deterministic equations of the diffusion model with logistic growth and interactions. Also, the stationary or equilibrium solutions of the Fokker-Planck equation together with the special discussion on the pattern of single-species population spreading have been made.

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Literature

  • Auchmuty, J. F. G. and G. Nicolis 1975. “Bifurcation Analysis of Nonlinear Reaction-Diffusion Equation-1”Bull. math. Biol. 37, 1–43.

    Article  MathSciNet  Google Scholar 

  • Brown, K. J. and J. C. Eilbeck. 1982. “Bifurcation, Stability Diagrams, and Varying Diffusion Coefficients in Reaction-Diffusion Equations,”Bull. math. Biol. 44, 87–102.

    Article  MATH  MathSciNet  Google Scholar 

  • Da Prato, G. 1983. “On Some Abstract Stochastic Differential Equations,”Bull. math. Biol. 45, 599–603.

    Article  MATH  Google Scholar 

  • —, and M. Iannelli and L. Tubaro. 1979. “Semilinear Stochastic Differential Equations in Hilbert Spaces,”Boll. Un. Mat. ital.,16A, 168–185.

    Google Scholar 

  • —— and —. 1979. “Some Results on Linear Stochastic Differential Equations in Hilbert Spaces.”Stochastics 6, 105–113.

    Google Scholar 

  • De, S. S. 1984. “Random Predator-Prey Interactions in a Varying Environment: Extinction or Survival,”Bull. math Biol. 46, 175–184.

    MATH  MathSciNet  Google Scholar 

  • Herschkowitz-Kaufman, M., 1975. “Bifurcation Analysis of Nonlinear Reaction-Diffusion Equations-II. Steady State Solutions and Comparison with Numerical Simulations.”Bull. math. Biol. 37, 589–635.

    Article  MATH  MathSciNet  Google Scholar 

  • Inagaki, H. 1982. “Selection under Random Mutations in Stochastic Eigen Model,”Bull. math. Biol. 44, 17–28.

    Article  MATH  MathSciNet  Google Scholar 

  • Sneddon, I. N. 1957.Elements of Partial Differential Equations, pp. 78–80. New York: McGraw-Hill.

    Google Scholar 

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De, S.S. Stochastic model of population growth and spread. Bltn Mathcal Biology 49, 1–11 (1987). https://doi.org/10.1007/BF02459957

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  • DOI: https://doi.org/10.1007/BF02459957

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