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Analysis and Approximation of a Stochastic Growth Model with Extinction

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Abstract

We consider a stochastic growth model for which extinction eventually occurs almost surely. The associated complete Fokker–Planck equation describing the law of the process is established and studied. This equation combines a PDE and an ODE, connected one to each other. We then design a finite differences numerical scheme under a probabilistic viewpoint. The model and its approximation are evaluated through numerical simulations.

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References

  • Beskos A, Roberts GO (2005) Exact simulation of diffusions. Ann Appl Probab 15(4):2422–2444

    Article  MathSciNet  MATH  Google Scholar 

  • Cacio E, Cohn SE, Spigler R (2011) Numerical treatment of degenerate diffusion equations via Feller’s boundary classification, and applications. Numerical Methods for Partial Differential Equations

  • Campillo F, Joannides M, Larramendy-Valverde I (2011) Stochastic modeling of the chemostat. Ecol Model 222(15):2676–2689

    Article  Google Scholar 

  • Campillo F, Joannides M, Larramendy-Valverde I (2014) Approximation of the Fokker-Planck equation of the stochastic chemostat. Math Comput Simul 99(C):37–53

    Article  MathSciNet  Google Scholar 

  • Durrett R (1996) Stochastic Calculus: A Practical Introduction. CRC Press

  • Ethier SN, Kurtz TG (1986) Markov Processes – Characterization and Convergence. John Wiley & Sons, New York

    Book  MATH  Google Scholar 

  • Feller W (1952) The parabolic differential equations and the associated semi-groups of transformations. Ann Math 55(3):468–519

    Article  MathSciNet  MATH  Google Scholar 

  • Friedman A (1964) Partial Differential Equations of Parabolic Type. Prentice-Hall, Englewood Cliffs

    MATH  Google Scholar 

  • Grasman J, van Herwaarden OA (1999) Asymptotic methods for the Fokker-Planck equation and the exit problem in applications. Springer-Verlag

  • Joannides M, Larramendy-Valverde I (2013) On geometry and scale of a stochastic chemostat. Commun Stat - Theory and Methods 16(42):2202–2211

    MathSciNet  MATH  Google Scholar 

  • Kallenberg O (1997) Foundations of modern probability. Springer

  • Karlin S, Taylor HM (1981) A Second Course in Stochastic Processes. Academic Press

  • Kendall DG (1949) Stochastic processes and population growth. J Royal Stat Soc Series B Methodol 11(2):230–282

    MathSciNet  MATH  Google Scholar 

  • Klebaner FC (2005) Introduction to Stochastic Calculus with Applications, 2nd edn. Imperial College Press

  • Kloeden PE, Platen E (1992) Numerical solution of stochastic differential equations. Springer

  • Kushner H J , Dupuis PG (1992) Numerical methods for stochastic control problems in continuous time. Springer-Verlag

  • Nåsell I (2001) Extinction and quasi-stationarity in the verhulst logistic model. J Theor Biol 211:11–27

    Article  Google Scholar 

  • Pollett P (2014) Quasi-stationary distributions: A bibliography. http://www.maths.uq.edu.au/~pkp/papers/qsds/qsds.pdf

  • Schurz H (2007) Modeling, analysis and discretization of stochastic logistic equations. Int J Numer Anal Model 4(2):178–197

    MathSciNet  MATH  Google Scholar 

  • Schuss Z (2010) Theory and Applications of Stochastic Processes, An Analytical Approach. Springer

  • Skiadas CH (2010) Exact solutions of stochastic differential equations: Gompertz, generalized logistic and revised exponential. Methodol Comput Appl Probab 12(2):261–270

    Article  MathSciNet  MATH  Google Scholar 

  • Verhulst PF (1838) Notice sur la loi que la population suit dans son accroissement. Correspondance Mathématique et Physique 10:113–121

    Google Scholar 

  • Yamada T, Watanabe S (1971) On the uniqueness of solutions of stochastic differential equations. J Math Kyoto Univ 11(1):155–167

    MathSciNet  MATH  Google Scholar 

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Correspondence to Marc Joannides.

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Campillo, F., Joannides, M. & Larramendy-Valverde, I. Analysis and Approximation of a Stochastic Growth Model with Extinction. Methodol Comput Appl Probab 18, 499–515 (2016). https://doi.org/10.1007/s11009-015-9438-7

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  • DOI: https://doi.org/10.1007/s11009-015-9438-7

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