Skip to main content
Log in

Probabilistic Model for the Lotka-Volterra System with Cross-Diffusion

  • Published:
Journal of Mathematical Sciences Aims and scope Submit manuscript

Two approaches that allow to construct a probabilistic representation of a generalized solution of the Cauchy problem for a system of quasilinear parabolic equations are proposed. The system under consideration describes a population dynamics model for a prey-predator population. The stochastic problem associated with this parabolic system is presented in two forms, which give a way to derive the required probabilistic representation. Bibliography: 16 titles.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. L. Chen and A. Jüngel, “Analysis of a multi-dimensional parabolic population model with strong cross-diffusion,” SIAM J. Math. Anal., 36, 301–322 (2004).

    Article  MathSciNet  MATH  Google Scholar 

  2. G. Galiano, M. Garzron, and A. Jüngel, “Analysis and numerical solution of a nonlinear cross-diffusion model arising in population dynamics,” Rev. Real Acad. Ciencias, Serie A. Mat., 95, 281–295 (2001).

  3. S. Xu, “Existence of global solutions for a predator-prey model with cross-diffusion,” Electr. J. Diff. Eq., 6, 1–4 (2008).

    MathSciNet  Google Scholar 

  4. A. Jüngel, “Diffusive and nondiffusive population models,” in: Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences (2010), pp. 397–425.

  5. H. Kunita, Stochastic Flows and Stochastic Differential Equations, Cambridge Univ. Press, Cambridge (1990).

    MATH  Google Scholar 

  6. H. Kunita, “Stochastic flows acting on Schwartz distributions,” J. Theor. Pobab., 7, No. 2, 247–278 (1994).

    Article  MathSciNet  MATH  Google Scholar 

  7. H. Kunita, “Generalized solutions of stochastic partial differential equations,” J. Theor. Pobab., 7, No. 2, 279–308 (1994).

    Article  MathSciNet  MATH  Google Scholar 

  8. Ya. Belopolskaya and W. Woyczynski, “Generalized solutions of nonlinear parabolic equations and diffusion processes,” Acta Appl. Math., 96, 55–69 (2007).

  9. Ya. Belopolskaya and W. Woyczynski, “Generalized solutions of the Cauchy problem for systems of nonlinear parabolic equations and diffusion processes,” Stoch. Dyn., 12, No. 1, 1–31 (2012).

  10. Ya. Belopolskaya, “Markov processes associated with fully nondiagonal systems of parabolic equations,” Markov Process. Relat. Fields, 20, No. 3, 452–478 (2014).

  11. Ya. Belopolskaya, “Probabilistic counterparts for strongly coupled parabolic systems,” in: Springer Proc. Math. Stat., 114 (2014), pp. 33–42.

  12. E. Pardoux and S. Peng, “Backward Stochastic Differential Equations and Quasilinear Parabolic Partial Differential Equations,” in: Lecture Notes CIS, 176, Springer-Verlag (1992), pp. 200–217.

  13. J. Fontbona and S. Meleard, “Non local Lotka–Volterra system with cross-diffusion in an heterogeneous medium,” J. Math. Biology, 20–39 (2014).

  14. P. Protter, Stochastic Integration and Differential Equations, Springer (2010).

  15. A. Matoussi and M. Xu, “Sobolev solution for semi-linear PDE with obstacle under monotonicity condition,” Electr. J. Probab., 13, 1035–1067 (2008).

    MathSciNet  MATH  Google Scholar 

  16. Ya. Belopolskaya, “Forward–Backward Stochastic Equations Associated with Systems of Quasilinear Parabolic Equations and Comparison Theorems,” J. Math. Sci., 204, No. 1, 7–27 (2015).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ya. I. Belopolskaya.

Additional information

Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 431, 2014, pp. 9–36.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Belopolskaya, Y.I. Probabilistic Model for the Lotka-Volterra System with Cross-Diffusion. J Math Sci 214, 425–442 (2016). https://doi.org/10.1007/s10958-016-2787-0

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10958-016-2787-0

Keywords

Navigation