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November  2014, 13(6): 2693-2712. doi: 10.3934/cpaa.2014.13.2693

Asymptotic behavior of Kolmogorov systems with predator-prey type in random environment

Nguyen Huu Du 1, and  Nguyen Hai Dang 2,

1. 

Department of Mathematics, Mechanics and Informatics, Hanoi National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Vietnam
2. 

Department of Mathematics, Wayne State University, Detroit, MI 48202, United States

Received  October 2013 Revised  March 2014 Published  July 2014

The paper is concerned with the asymptotic behavior of two species population whose densities are described by Kolmogorov systems of predator-prey type in random environment. We study the omega-limit set and find conditions ensuring the existence and attractivity of a stationary density. Some applications to the predator-prey model with Beddington-DeAngelis functional response are considered to illustrate our results.
Keywords: telegraph noise, stationary distribution, Kolmogorov systems of predator-prey type, piecewise deterministic Markov process..
Mathematics Subject Classification: Primary: 34C12, 60H10; Secondary: 92D2.
Citation: Nguyen Huu Du, Nguyen Hai Dang. Asymptotic behavior of Kolmogorov systems with predator-prey type in random environment. Communications on Pure & Applied Analysis, 2014, 13 (6) : 2693-2712. doi: 10.3934/cpaa.2014.13.2693
References:
[1]

L. Arnold, Random Dynamical Systems,, Springer-Verlag, (1998).  doi: 10.1007/978-3-662-12878-7.  Google Scholar

[2]

P. Auger, N. H. Du and N. T. Hieu, Evolution of Lotka-Volterra predator-prey systems under telegraph noise,, \emph{Math. Biosci. Eng.}, 6 (2009), 683.  doi: 10.3934/mbe.2009.6.683.  Google Scholar

[3]

A. D. Bazykin, Nonlinear Dynamics of Interacting Populations,, World Scientific, (1998).  doi: 10.1142/9789812798725.  Google Scholar

[4]

A. Bobrowski, T. Lipniacki, K. Pichor and R. Rudnicki, Asymptotic behavior of distributions of mRNA and protein levels in a model of stochastic gene expression,, \emph{J. Math. Anal. Appl.}, 333 (2007), 753.  doi: 10.1016/j.jmaa.2006.11.043.  Google Scholar

[5]

Z. Brzeniak, M. Capifiski and F. Flandoli, Pathwise global attractors for stationary random dynamical systems,, \emph{Probab. Theory Relat. Fields}, 95 (1993), 87.  doi: 10.1007/BF01197339.  Google Scholar

[6]

N. H. Dang, N. H. Du and T. V. Ton, Asymptotic behavior of predator-prey systems perturbed by white noise,, \emph{Acta Appl. Math.}, (2011), 351.  doi: 10.1007/s10440-011-9628-4.  Google Scholar

[7]

N. H. Du and N. H. Dang, Dynamics of Kolmogorov systems of competitive type under the telegraph noise,, \emph{J. Differential Equations}, 250 (2011), 386.  doi: 10.1016/j.jde.2010.08.023.  Google Scholar

[8]

N. H. Du, R. Kon, K. Sato and Y. Takeuchi, Dynamical behavior of Lotka - Volterra competition systems: Non autonomous bistable case and the effect of telegraph noise,, \emph{J. Comput. Appl. Math}, 170 (2004), 399.  doi: 10.1016/j.cam.2004.02.001.  Google Scholar

[9]

H. Crauel and F. Flandoli, Attractors for random dynamical systems,, \emph{Probab. Theory Relat. Fields}, 100 (1994), 365.  doi: 10.1007/BF01193705.  Google Scholar

[10]

I. I Gihman and A. V. Skorohod, The Theory of Stochastic Processes,, Springer-Verlag, (1979).   Google Scholar

[11]

T. W. Hwang, Global analysis of the predator-prey system with Beddington DeAngelis functional response,, \emph{J. Math. Anal. Appl.}, 281 (2003), 395.   Google Scholar

[12]

T. W. Hwang, Uniqueness of limit cycles of the predator-prey system with Beddington-DeAngelis functional response,, \emph{J. Math. Anal. Appl., 290 (2004), 113.  doi: 10.1016/j.jmaa.2003.09.073.  Google Scholar

[13]

C. Ji and D. Jiang, Dynamics of a stochastic density dependent predator-prey system with Beddington-DeAngelis functional response,, \emph{J. Math. Anal. Appl.}, 381 (2011), 441.  doi: 10.1016/j.jmaa.2011.02.037.  Google Scholar

[14]

C. Ji, D. Jiang and N. Shi, Analysis of a predator-prey model with modified Leslie-Gower and Holling-type II schemes with stochastic perturbation,, \emph{J. Math. Anal. Appl}., 359 (2009), 482.  doi: 10.1016/j.jmaa.2009.05.039.  Google Scholar

[15]

Q. Luo and X. Mao, Stochastic population dynamics under regime switching,, \emph{J. Math. Anal. Appl.}, 334 (2007), 69.  doi: 10.1016/j.jmaa.2006.12.032.  Google Scholar

[16]

Q. Luo and X. Mao, Stochastic population dynamics under regime switching. II,, \emph{J. Math. Anal. Appl.}, 355 (2009), 577.  doi: 10.1016/j.jmaa.2009.02.010.  Google Scholar

[17]

X. Mao, Attraction, stability and boundedness for stochastic differential delay equations,, \emph{Nonlinear Analysis: Theory, 47 (2001), 4795.  doi: 10.1016/S0362-546X(01)00591-0.  Google Scholar

[18]

X. Mao, S. Sabanis and E. Renshaw, Asymptotic behaviour of the stochastic Lotka-Volterra model,, \emph{J. Math. Anal. Appl.}, 287 (2003), 141.  doi: 10.1016/S0022-247X(03)00539-0.  Google Scholar

[19]

L. Michael, Conservative Markov processes on a topological space,, \emph{Israel J. Math.}, 8 (1970), 165.   Google Scholar

[20]

J. D. Murray, Mathematical Biology,, Springer-Verlag, (2002).  doi: 10.1007/b98869.  Google Scholar

[21]

K. Pichór and R. Rudnicki, Continuous Markov semigroups and stability of transport equations,, \emph{J. Math. Anal. Appl.}, 249 (2000), 668.  doi: 10.1006/jmaa.2000.6968.  Google Scholar

[22]

R. Rudnicki, K. Pichór and M. Tyran-Kaminska, Markov semigroups and their applications,, in \emph{Dynamics of Dissipation} (P. Garbaczewski and R. Olkiewicz Eds), (2002), 215.   Google Scholar

[23]

Y. Takeuchi, N. H. Du, N. T. Hieu and K. Sato, Evolution of predator-prey systems described by a Lotka-Volterra equation under random environment,, \emph{J. Math. Anal. Appl.}, 323 (2006), 938.  doi: 10.1016/j.jmaa.2005.11.009.  Google Scholar

[24]

C. Yuan and X. Mao, Attraction and stochastic asymptotic stability and boundedness of stochastic functional differential equations with respect to semimartingales,, \emph{Stochastic Analysis and Applications}, 24 (2006), 1169.  doi: 10.1080/07362990600958937.  Google Scholar

[25]

C. Zhu and G. Yin, On competitive Lotka-Volterra model in random environments,, \emph{Journal of Mathematical Analysis and Applications}, 357 (2009), 154.  doi: 10.1016/j.jmaa.2009.03.066.  Google Scholar

show all references

References:
[1]

L. Arnold, Random Dynamical Systems,, Springer-Verlag, (1998).  doi: 10.1007/978-3-662-12878-7.  Google Scholar

[2]

P. Auger, N. H. Du and N. T. Hieu, Evolution of Lotka-Volterra predator-prey systems under telegraph noise,, \emph{Math. Biosci. Eng.}, 6 (2009), 683.  doi: 10.3934/mbe.2009.6.683.  Google Scholar

[3]

A. D. Bazykin, Nonlinear Dynamics of Interacting Populations,, World Scientific, (1998).  doi: 10.1142/9789812798725.  Google Scholar

[4]

A. Bobrowski, T. Lipniacki, K. Pichor and R. Rudnicki, Asymptotic behavior of distributions of mRNA and protein levels in a model of stochastic gene expression,, \emph{J. Math. Anal. Appl.}, 333 (2007), 753.  doi: 10.1016/j.jmaa.2006.11.043.  Google Scholar

[5]

Z. Brzeniak, M. Capifiski and F. Flandoli, Pathwise global attractors for stationary random dynamical systems,, \emph{Probab. Theory Relat. Fields}, 95 (1993), 87.  doi: 10.1007/BF01197339.  Google Scholar

[6]

N. H. Dang, N. H. Du and T. V. Ton, Asymptotic behavior of predator-prey systems perturbed by white noise,, \emph{Acta Appl. Math.}, (2011), 351.  doi: 10.1007/s10440-011-9628-4.  Google Scholar

[7]

N. H. Du and N. H. Dang, Dynamics of Kolmogorov systems of competitive type under the telegraph noise,, \emph{J. Differential Equations}, 250 (2011), 386.  doi: 10.1016/j.jde.2010.08.023.  Google Scholar

[8]

N. H. Du, R. Kon, K. Sato and Y. Takeuchi, Dynamical behavior of Lotka - Volterra competition systems: Non autonomous bistable case and the effect of telegraph noise,, \emph{J. Comput. Appl. Math}, 170 (2004), 399.  doi: 10.1016/j.cam.2004.02.001.  Google Scholar

[9]

H. Crauel and F. Flandoli, Attractors for random dynamical systems,, \emph{Probab. Theory Relat. Fields}, 100 (1994), 365.  doi: 10.1007/BF01193705.  Google Scholar

[10]

I. I Gihman and A. V. Skorohod, The Theory of Stochastic Processes,, Springer-Verlag, (1979).   Google Scholar

[11]

T. W. Hwang, Global analysis of the predator-prey system with Beddington DeAngelis functional response,, \emph{J. Math. Anal. Appl.}, 281 (2003), 395.   Google Scholar

[12]

T. W. Hwang, Uniqueness of limit cycles of the predator-prey system with Beddington-DeAngelis functional response,, \emph{J. Math. Anal. Appl., 290 (2004), 113.  doi: 10.1016/j.jmaa.2003.09.073.  Google Scholar

[13]

C. Ji and D. Jiang, Dynamics of a stochastic density dependent predator-prey system with Beddington-DeAngelis functional response,, \emph{J. Math. Anal. Appl.}, 381 (2011), 441.  doi: 10.1016/j.jmaa.2011.02.037.  Google Scholar

[14]

C. Ji, D. Jiang and N. Shi, Analysis of a predator-prey model with modified Leslie-Gower and Holling-type II schemes with stochastic perturbation,, \emph{J. Math. Anal. Appl}., 359 (2009), 482.  doi: 10.1016/j.jmaa.2009.05.039.  Google Scholar

[15]

Q. Luo and X. Mao, Stochastic population dynamics under regime switching,, \emph{J. Math. Anal. Appl.}, 334 (2007), 69.  doi: 10.1016/j.jmaa.2006.12.032.  Google Scholar

[16]

Q. Luo and X. Mao, Stochastic population dynamics under regime switching. II,, \emph{J. Math. Anal. Appl.}, 355 (2009), 577.  doi: 10.1016/j.jmaa.2009.02.010.  Google Scholar

[17]

X. Mao, Attraction, stability and boundedness for stochastic differential delay equations,, \emph{Nonlinear Analysis: Theory, 47 (2001), 4795.  doi: 10.1016/S0362-546X(01)00591-0.  Google Scholar

[18]

X. Mao, S. Sabanis and E. Renshaw, Asymptotic behaviour of the stochastic Lotka-Volterra model,, \emph{J. Math. Anal. Appl.}, 287 (2003), 141.  doi: 10.1016/S0022-247X(03)00539-0.  Google Scholar

[19]

L. Michael, Conservative Markov processes on a topological space,, \emph{Israel J. Math.}, 8 (1970), 165.   Google Scholar

[20]

J. D. Murray, Mathematical Biology,, Springer-Verlag, (2002).  doi: 10.1007/b98869.  Google Scholar

[21]

K. Pichór and R. Rudnicki, Continuous Markov semigroups and stability of transport equations,, \emph{J. Math. Anal. Appl.}, 249 (2000), 668.  doi: 10.1006/jmaa.2000.6968.  Google Scholar

[22]

R. Rudnicki, K. Pichór and M. Tyran-Kaminska, Markov semigroups and their applications,, in \emph{Dynamics of Dissipation} (P. Garbaczewski and R. Olkiewicz Eds), (2002), 215.   Google Scholar

[23]

Y. Takeuchi, N. H. Du, N. T. Hieu and K. Sato, Evolution of predator-prey systems described by a Lotka-Volterra equation under random environment,, \emph{J. Math. Anal. Appl.}, 323 (2006), 938.  doi: 10.1016/j.jmaa.2005.11.009.  Google Scholar

[24]

C. Yuan and X. Mao, Attraction and stochastic asymptotic stability and boundedness of stochastic functional differential equations with respect to semimartingales,, \emph{Stochastic Analysis and Applications}, 24 (2006), 1169.  doi: 10.1080/07362990600958937.  Google Scholar

[25]

C. Zhu and G. Yin, On competitive Lotka-Volterra model in random environments,, \emph{Journal of Mathematical Analysis and Applications}, 357 (2009), 154.  doi: 10.1016/j.jmaa.2009.03.066.  Google Scholar

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