Abstract
A stochastic Lotka-Volterra system under regime switching is proposed and investigated. First, sufficient conditions for stochastic permanence and extinction of the solution are established. Then the lower- and upper-growth rates of the positive solution are investigated. In addition, the superior limit of the average in time of the sample path of the solution is estimated. The results show that these properties have close relationships with the stationary probability distribution of the Markov chain. Finally, the main results are illustrated by several examples and figures. Some recent results are extended and improved.
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References
Du, N.H., Dang, N.H.: Dynamics of Kolmogorov systems of competitive type under the telegraph noise. J. Differ. Equ. 250, 386–409 (2011)
Du, N.H., Kon, R., Sato, K., Takeuchi, Y.: Dynamical behaviour of Lotka-Volterra competition systems: nonautonomous bistable case and the effect of telegraph noise. J. Comput. Appl. Math. 170, 399–422 (2004)
Golpalsamy, K.: Stability and Oscillations in Delay Differential Equations of Population Dynamics. Kluwer Academic, Dordrecht (1992)
He, X.Z.: The Lyapunov functionals for delay Lotka-Volterra-type models. SIAM J. Appl. Math. 58, 1222–1236 (1998)
Hu, G., Wang, K.: Stability in distribution of competitive Lotka-Volterra system with Markovian switching. Appl. Math. Model. 35, 3189–3200 (2011)
Jeffries, C.: Stability of predation ecosystem models. Ecology 57, 1321–1325 (1976)
Kuang, Y.: Delay Differential Equations with Applications in Population Dynamics. Academic Press, Boston (1993)
Kuang, Y., Smith, H.L.: Global stability for infinite delay Lotka-Volterra type systems. J. Differ. Equ. 103, 221–246 (1993)
Li, X., Jiang, D., Mao, X.: Population dynamical behavior of Lotka-Volterra system under regime switching. J. Comput. Appl. Math. 232, 427–448 (2009)
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, 11–28 (2011)
Liu, M., Wang, K.: Persistence and extinction of a stochastic single-specie model under regime switching in a polluted environment. J. Theor. Biol. 264, 934–944 (2010)
Liu, M., Wang, K.: Asymptotic properties and simulations of a stochastic logistic model under regime switching II. Math. Comput. Model. 55, 405–418 (2012)
Liu, M., Wang, K.: Analysis of a stochastic autonomous mutualism model. J. Math. Anal. Appl. 402, 392–403 (2013)
Liu, M., Wang, K.: The threshold between permanence and extinction for a stochastic logistic model with regime switching. J. Appl. Math. Comput. 43, 329–349 (2013)
Luo, Q., Mao, X.R.: Stochastic population dynamics under regime switching. J. Math. Anal. Appl. 334, 69–84 (2007)
Luo, Q., Mao, X.R.: Stochastic population dynamics under regime switching II. J. Math. Anal. Appl. 355, 577–593 (2009)
Mao, X.R., Yuan, C.: Stochastic Differential Equations with Markovian Switching. Imperial College Press, London (2006)
Mao, X.R., Marion, G., Renshaw, E.: Environmental Brownian noise suppresses explosions in populations dynamics. Stoch. Process. Appl. 97, 95–110 (2002)
Wu, F., Xu, Y.: Stochastic Lotka-Volterra population dynamics with infinite delay. SIAM J. Appl. Math. 70, 641–657 (2009)
Wu, Z., Huang, H., Wang, L.: Stochastic delay logistic model under regime switching. Abstr. Appl. Anal. (2012). doi:10.1155/2012/241702
Zhu, C., Yin, G.: On competitive Lotka-Volterra model in random environments. J. Math. Anal. Appl. 357, 154–170 (2009)
Acknowledgements
This work is supported by National Natural Science Foundation of China (Nos. 11301207, 11171081 and 11301112), Natural Science Foundation of Jiangsu Province (No. BK20130411), Natural Science Research Project of Ordinary Universities in Jiangsu Province (No. 13KJB110002).
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Liu, M. Dynamics of a stochastic Lotka-Volterra model with regime switching. J. Appl. Math. Comput. 45, 327–349 (2014). https://doi.org/10.1007/s12190-013-0725-6
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DOI: https://doi.org/10.1007/s12190-013-0725-6