Asymptotic properties and simulations of a stochastic single-species dispersal model under regime switching
详细信息    查看全文
  • 作者:Li Zu ; Daqing Jiang ; Donal O’Regan
  • 关键词:Stochastic permanence ; Persistent in mean ; Extinction ; Environment noise ; 34F05 ; 34E10 ; 60H10 ; 60H20
  • 刊名:Journal of Applied Mathematics and Computing
  • 出版年:2013
  • 出版时间:October 2013
  • 年:2013
  • 卷:43
  • 期:1-2
  • 页码:387-407
  • 全文大小:1415KB
  • 参考文献:1. Takeuchi, Y.: Cooperative system theory and global stability of diffusion models. Acta Appl. Math. 14, 49-7 (1989) CrossRef
    2. Wang, W., Chen, L.: Global stability of a population dispersal in a two-patch environment. Dyn. Syst. Appl. 6, 207-16 (1997)
    3. Allen, L.: Persistence and extinction in single-species reaction-diffusion models. Bull. Math. Biol. 45, 209-27 (1983)
    4. Lu, Z., Takeuchi, Y.: Global asymptotic behavior in single-species discrete diffusion systems. J. Math. Biol. 32, 67-7 (1993) CrossRef
    5. Allen, L.: Persistence, extinction, and critical patch number for island populations. Bull. Math. Biol. 65, 1-2 (1987)
    6. Gard, T.: Persistence in stochastic food web models. Bull. Math. Biol. 46, 357-70 (1984)
    7. Liu, M., Wang, K.: Persistence and extinction in stochastic non-autonomous logistic systems. J. Math. Anal. Appl. 375, 443-57 (2011) CrossRef
    8. Mao, X., Yuan, C., Zou, J.: Stochastic differential delay equations of population dynamics. J. Math. Anal. Appl. 304, 296-20 (2005) CrossRef
    9. Jiang, D., Shi, N.: A note on non-autonomous logistic equation with random perturbation. J. Math. Anal. Appl. 303, 164-72 (2005) CrossRef
    10. Ji, C., Jiang, D., Liu, H., Yang, Q.: Existence, uniqueness and ergodicity of positive solution of mutualism system with stochastic perturbation. Math. Probl. Eng. 2010, 684926 (2010) CrossRef
    11. Luo, Q., Mao, X.: Stochastic population dynamics under regime switching. J. Math. Anal. Appl. 334, 69-4 (2007) CrossRef
    12. Li, X., Gray, A., Jiang, D., Mao, X.: Sufficient and necessary conditions of stochastic permanence and extinction for stochastic logistic populations under regime switching. J. Math. Anal. Appl. 376, 11-8 (2011) CrossRef
    13. Du, N., Kon, R., Sato, K., Takeuchi, Y.: Dynamical behavior of Lotka-Volterra competition systems: non-autonomous bistable case and the effect of telegraph noise. J. Comput. Appl. Math. 170, 399-22 (2004) CrossRef
    14. Stakin, M.: The dynamics of a population in a Markovian environment. Ecology 59, 249-56 (1987)
    15. Mao, X., Marion, G., Renshaw, E.: Environmental Brownian noise suppresses explosions in populations dynamics. Stoch. Process. Appl. 97, 95-10 (2002) CrossRef
    16. Li, X., Jiang, D., Mao, X.: Population dynamical behavior of Lotka-Volterra system under regime switching. J. Comput. Appl. Math. 232, 427-48 (2009) CrossRef
    17. Mao, X.: Differential Equations and Applications. Horwood, Chichester (1997)
    18. Mao, X., Yuan, C.: Stochastic Differential Equations with Markovian Switching. Imperial College Press, London (2006) CrossRef
    19. Highm, D.: An algorithmic introduction to numerical simulation of stochastic differential equations. SIAM Rev. 43, 525-46 (2001) CrossRef
  • 作者单位:Li Zu (1) (2)
    Daqing Jiang (1)
    Donal O’Regan (3)

    1. School of Mathematics and Statistics, Northeast Normal University, Changchun, 130024, P.R. China
    2. School of Science, Changchun University, Changchun, 130022, P.R. China
    3. School of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland
  • ISSN:1865-2085
文摘
Taking both white noise and colored environmental noise into account, a single-species logistic model with population’s nonlinear diffusion among two patches is proposed and investigated. The sufficient conditions of the existence of positive solutions, stochastic permanence, persistence in mean and extinction are established. Moreover, we use an example and simulation figures to illustrate our main results.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700