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Dynamical behavior of a stochastic Nicholson’s blowflies model with distributed delay and degenerate diffusion

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Abstract

The mathematical model with time delay is often more practical because it is subject to current and past state. What remains unclear are the details, such as how time delay and sudden environmental changes influence the dynamic behavior of systems. The purpose of this paper is to analyze the long-time behavior of a stochastic Nicholson’s blowflies model, which includes distributed delay and degenerate diffusion. The application of the Markov semigroups theory is to prove that there exists a unique stationary distribution. What’s more, the expression of probability density function around the unique positive equilibrium of the deterministic model is briefly described under a certain condition. The results of this paper can be used to find that the weaker white noise can guarantee the existence of a unique stationary distribution and the stronger mortality rate can cause the extinction of Nicholson’s blowflies. Some numerical examples are also given to explain the effect of the white noise.

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References

  1. Gurney, W., Blythe, S., Nisbet, R.: Nicholson’s blowflies revisited. Nature 287(5777), 17–21 (1980)

    Article  Google Scholar 

  2. Zhu, Y., Wang, K., Ren, Y., et al.: Stochastic Nicholson’s blowflies delay differential equation with regime switching. Appl. Math. Lett. 94, 187–195 (2019)

    Article  MathSciNet  Google Scholar 

  3. Xiong, W.: New results on positive pseudo-almost periodic solutions for a delayed Nicholson’s blowflies model. Nonlinear Dyn. 85(1), 563–571 (2016)

    Article  MathSciNet  Google Scholar 

  4. Yao, Z.: Almost periodic solution of Nicholson’s blowflies model with linear harvesting term and impulsive effects. Int. J. Biomath. 08(03), 1–18 (2015)

    Article  MathSciNet  Google Scholar 

  5. Long, Z.: Exponential convergence of a non-autonomous Nicholson’s blowflies model with an oscillating death rate. Electron. J. Qual. Theory Differ. Equ. 41, 1–7 (2016)

    Article  MathSciNet  Google Scholar 

  6. Wang, X., Liu, H., Xu, C.: Hopf bifurcations in a predator-prey system of population allelopathy with a discrete delay and a distributed delay. Nonlinear Dyn. 69(4), 2155–2167 (2012)

    Article  MathSciNet  Google Scholar 

  7. Ruan, S.: Delay Differential Equations and Applications in Single Species Dynamics. Springer, Berlin (2006)

    MATH  Google Scholar 

  8. Al-Omari, J., Al-Omari, S.: Global stability in a structured population competition model with distributed maturation delay and harvesting. Nonlinear Anal. Real World Appl. 12(3), 1485–1499 (2011)

    Article  MathSciNet  Google Scholar 

  9. Liu, Q., Jiang, D., Hayat, T., et al.: Stationary distribution and extinction of a stochastic HIV-1 infection model with distributed delay and logistic growth. J. Nonlinear Sci. (2019). https://doi.org/10.1007/s00332-019-09576-x

    Article  MATH  Google Scholar 

  10. Hu, Y., Wu, F.: Stochastic Lotka–Volterra system with unbounded distributed delay. Discrete Contin. Dyn. Syst. Ser. B 14(1), 275–288 (2010)

    MathSciNet  MATH  Google Scholar 

  11. Liu, Q., Jiang, D., Hayat, T., et al.: Long-time behavior of a stochastic logistic equation with distributed delay and nonlinear perturbation. Physica A 508, 289–304 (2018)

    Article  MathSciNet  Google Scholar 

  12. Liu, M., Wang, K., Hong, Q.: Stability of a stochastic logistic model with distributed delay. Math. Comput. Modell. 57, 1112–1121 (2013)

    Article  MathSciNet  Google Scholar 

  13. Macdonald, N.: Time Lags in Biological Models. Lecture Notes in Biomathematics. Springer, Heidelberg (1978)

    Book  Google Scholar 

  14. Rudnicki, R., Katarzyna, P., Marta, T.: Markov Semigroups and Their Applications. Dynamics of Dissipation. Springer, Heidelberg (2002)

    Google Scholar 

  15. Rudnicki, R., Katarzyna, P.: Influence of stochastic perturbation on prey–predator systems. Math. Biosci. 206(1), 108–119 (2007)

    Article  MathSciNet  Google Scholar 

  16. Rudnicki, R.: Asymptotic Properties of the Fokker–Planck Equation, vol. 457, pp. 517–521. Springer, Berlin (1995)

    MATH  Google Scholar 

  17. Sun, X., Zuo, W., Jiang, D., et al.: Unique stationary distribution and ergodicity of a stochastic logistic model with distributed delay. Physica A 512, 864–881 (2018)

    Article  MathSciNet  Google Scholar 

  18. Bao, K., Rong, L., Zhang, Q.: Analysis of a stochastic SIRS model with interval parameters. Discrete Contin. Dyn. Syst. B 24(9), 4827–4849 (2019)

    MathSciNet  MATH  Google Scholar 

  19. Mao, X.: Stochastic Differential Equations and Applications, 2nd edn. Horwood Publishing, Sawston (1997)

    MATH  Google Scholar 

  20. Pichr, K., Rudnicki, R.: Stability of Markov semigroups and applications to parabolic systems. J. Math. Anal. Appl. 215, 56–74 (1997)

    Article  MathSciNet  Google Scholar 

  21. Arous, G., Léandre, R.: Décroissance exponentielle du noyau de la chaleur sur la diagonale (II). Probab. Theory Relat. Fields 90, 377–402 (1991)

    Article  Google Scholar 

  22. Rudnicki, R., Pichr, K., Tyrankamiska, M.: Markov semigroups and their applications. Lect. Notes Phys. 597, 215–238 (2002)

    Article  Google Scholar 

  23. Higham, D.: An algorithmic introduction to numerical simulation of stochastic differential equations. SIAM Rev. 433, 525–546 (2001)

    Article  MathSciNet  Google Scholar 

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Acknowledgements

The research is supported by the Natural Science Foundation of China (No. 11871473), Shandong Provincial Natural Science Foundation (Nos. ZR2019MA010, ZR2019MA006) and the Fundamental Research Funds for the Central Universities (No. 19CX02055A).

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DJ designed the research and methodology. XM wrote the original draft. All authors read and approved the final manuscript.

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Correspondence to Daqing Jiang.

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Mu, X., Jiang, D., Hayat, T. et al. Dynamical behavior of a stochastic Nicholson’s blowflies model with distributed delay and degenerate diffusion. Nonlinear Dyn 103, 2081–2096 (2021). https://doi.org/10.1007/s11071-020-05944-5

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  • DOI: https://doi.org/10.1007/s11071-020-05944-5

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