Skip to main content
Log in

On Separable Cubic Stochastic Operators

  • Published:
Qualitative Theory of Dynamical Systems Aims and scope Submit manuscript

Abstract

In this paper, we explore separable cubic stochastic operators defined on a finite-dimensional simplex, which depend on three matrices. We have developed Lyapunov functions under specific conditions that influence the entries of these matrices. These functions enable us to establish upper bounds for the \(\omega \)-limit set of the trajectories. We also present a sufficient condition for identifying these operators as Lotka–Volterra operators. For separable cubic stochastic operators defined on the 2D simplex, we provide descriptions of their fixed points and their respective types. Moreover, we demonstrate that, under certain parameter conditions, these operators exhibit regular behavior.

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. Akin, E., Losert, V.: Evolutionary dynamics of zero-sum games. J. Math. Biol. 20, 231–258 (1984)

    Article  MathSciNet  CAS  PubMed  Google Scholar 

  2. Blath, J., Jamilov(Zhamilov), U.U., Scheutzow, M.: \((G,\mu )\)-quadratic stochastic operators. J. Differ. Equ. Appl. 20(8), 1258–1267 (2014)

    Article  MathSciNet  Google Scholar 

  3. Davronov, R.R., Jamilov, U.U., Ladra, M.: Conditional cubic stochastic operator. J. Differ. Equ. Appl. 21(12), 1163–1170 (2015)

    Article  MathSciNet  Google Scholar 

  4. Devaney, R.L.: An introduction to chaotic dynamical systems, Studies in Nonlinearity, Westview Press, Boulder, CO, 2003, reprint of the second (1989) edition

  5. Eshkabilov, Y.K., Baratov, B.S.: On the dynamics of one separable cubic stochastic operator on the two-dimensional simplex. Bull. Inst. Math. 5(2), 97–104 (2022). ([In Russian])

    Google Scholar 

  6. Freedman, H.I., Waltman, P.: Persistence in models of three interacting predator-prey populations. Math. Biosci. 68(2), 213–231 (1984)

    Article  MathSciNet  Google Scholar 

  7. Ganikhodzhaev, R.N.: Quadratic stochastic operators, Lyapunov functions and tournaments. Sb. Math. 76(2), 489–506 (1993)

    Article  MathSciNet  Google Scholar 

  8. Ganikhodzhaev, R.N.: Map of fixed points and Lyapunov functions for one class of discrete dynamical systems. Math. Notes 56(5), 1125–1131 (1994)

    Article  MathSciNet  Google Scholar 

  9. Ganikhodzhaev, R., Mukhamedov, F., Rozikov, U.: Quadratic stochastic operators and processes: results and open problems. Infin. Dimens. Anal. Quan. Probab. Relat. Top. 14(2), 279–335 (2011)

    Article  MathSciNet  Google Scholar 

  10. Gavin, C., Pokrovskii, A., Prentice, M., Sobolev, V.: Dynamics of a Lotka-Volterra type model with applications to marine phage population dynamics. J. Phys. Conf. Ser. 55, 008 (2006)

    Article  Google Scholar 

  11. Hoffmann, K.H., Rodriguez-Brito, B., Breitbart, M., Bangor, D., Angly, F., Felts, B., Nulton, J., Rohwer, F., Salamon, P.: the structure of marine phage populations, environmental science, (2005)

  12. Homburg, A.J., Jamilov, U.U., Scheutzow, M.: Asymptotics for a class of iterated random cubic operators. Nonlinearity 32, 3646–3660 (2019)

    Article  ADS  MathSciNet  Google Scholar 

  13. Jamilov, U.U.: On symmetric strictly non-Volterra quadratic stochastic operators. Disc. Nonlin. Comp. 5(3), 263–283 (2016)

    MathSciNet  Google Scholar 

  14. Jamilov, U.U., Khamraev, A.Y., Ladra, M.: On a Volterra cubic stochastic operator. Bull. Math. Biol. 80(2), 319–334 (2018)

    Article  MathSciNet  CAS  PubMed  Google Scholar 

  15. Jamilov, U.U., Ladra, M.: On identically distributed non-Volterra cubic stochastic operator. J. Appl. Nonlinear Dyn. 6(1), 79–90 (2017)

    Article  MathSciNet  Google Scholar 

  16. Jamilov, U.U., Mukhamedov, F.M.: Historical behavior and non-ergodicity of Lotka–Volterra systems. Math. Meth. App. Sci. 45(17), 11380–11389 (2022)

    Article  Google Scholar 

  17. Jamilov, U.U., Reinfelds, A.: On constrained Volterra cubic stochastic operators. J. Diff. Eq. Appl. 26(2), 261–274 (2020)

    Article  MathSciNet  Google Scholar 

  18. Jamilov, U.U., Reinfelds, A.: A family of Volterra cubic stochastic operators. J. Convex Anal. 28(1), 19–30 (2021)

    MathSciNet  Google Scholar 

  19. Kesten, H.: Quadratic transformations: a model for population growth. I, Advances in Appl. Probability 2 (1970) 1–82

  20. Lyubich, Y.I.: Mathematical structures in population genetics. In: Akin, E. (ed.) Biomathematics, vol. 22. Springer- Verlag, Berlin (1992)

    Google Scholar 

  21. Mukhamedov, F., Ganikhodjaev, N.: Quantum Quadratic Operators and Processes. Springer, Berlin (2015)

    Book  Google Scholar 

  22. Mukhamedov, F.M., Pah, C.H., Rosli, A.: On non-ergodic Volterra cubic stochastic operators. Qual. Theory Dyn. Syst. 18, 1225–1235 (2019)

    Article  MathSciNet  Google Scholar 

  23. Mukhamedov, F.M., Embong, A.F., Rosli, A.: On orthogonality preserving and surjective cubic stochastic operators. Ann. Funct. Anal. 8(4), 490–501 (2017)

    Article  MathSciNet  Google Scholar 

  24. Rozikov, U.A.: Population dynamics: algebraic and probabilistic approach, p. 460. World Sci Publ, Singapore (2020)

    Book  Google Scholar 

  25. Rozikov, U.A., Nazir, S.: Separable quadratic stochastic operators. Lobachevskii J. Math. 31, 215–221 (2010)

    Article  MathSciNet  Google Scholar 

  26. Rozikov, U.A., Khamraev, AYu.: On cubic operators defined on finite-dimensional simplices. Ukr. Math. J. 56(10), 1699–1711 (2004)

    Article  MathSciNet  Google Scholar 

  27. Rozikov, U.A., Khamraev, AYu.: On construction and a class of non-Volterra cubic stochastic operators. Nonlinear Dyn. Syst. Theory 14(1), 92–100 (2014)

    MathSciNet  Google Scholar 

  28. Rozikov, U.A., Zada, A.: On a class of separable quadratic stochastic operators. Lobaschevskii J. Math. 32, 385–394 (2011)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the anonymous referees for their comments and suggestions that contributed to improve this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to U. U. Jamilov.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Baratov, B.S., Jamilov, U.U. On Separable Cubic Stochastic Operators. Qual. Theory Dyn. Syst. 23, 93 (2024). https://doi.org/10.1007/s12346-023-00950-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12346-023-00950-5

Keywords

Mathematics Subject Classification

Navigation