参考文献:1.G.J. Butler, G.S.K. Wolkowicz, A mathematical model of the chemostat with a general class of functions describing nutrient uptake. SIAM J. Appl. Math. 45, 138–151 (1985)CrossRef 2.D.J. Higham, An algorithmic introduction to numerical simulation of stochastic differential equations. SIAM Rev. 43, 525–546 (2001)CrossRef 3.S.B. Hsu, S. Hubbell, P. Waltman, A mathematical theory for single-nutrient competition in continuous cultures of micro-organisms. SIAM J. Appl. Math. 32, 366–383 (1977)CrossRef 4.S.B. Hsu, Limiting behavior for competing species. SIAM J. Appl. Math. 34, 760–763 (1978)CrossRef 5.A. Gray, D. Greenhalgh, L. Hu, X. Mao, J. Pan, A stochastic differential equation SIS epidemic model. SIAM J. Appl. Math. 71, 876–902 (2011)CrossRef 6.X. Mao, Stochastic Differential Equations and Applications (Horwood, Chichester, 1997) 7.B. Li, G.S.K. Wolkowicz, Y. Kuang, Global asymptotic behavior of a chemostat model with two perfectly complementary resources and distributed delay. SIAM J. Appl. Math. 60, 2058–2086 (2000)CrossRef 8.S. Liu, X. Wang, L. Wang, H. Song, Competitive exclusion in delayed chemostat models with differential removal rates. SIAM J. Appl. Math. 74, 634–648 (2014)CrossRef 9.G.S.K. Wolkowicz, Z. Lu, Global dynamics of a mathematical model of competition in the chemostat: general response function and differential death rates. SIAM J. Appl. Math. 52, 222–233 (1992)CrossRef 10.L. Wang, G.S.K. Wolkowicz, A delayed chemostat model with general nonmonotone response functions and differential removal rates. J. Math. Anal. Appl. 321, 452–468 (2006)CrossRef 11.C. Xu, S. Yuan, T. Zhang, Asymptotic behavior of a chemostat model with stochastic perturbation on the dilution rate. Abstr. Appl. Anal. 2013, 423154 (2013) 12.Q. Yang, D. Jiang, N. Shi, C. Ji, The ergodicity and extinction of stochastically perturbed SIR and SEIR epidemic models with saturated incidence. J. Math. Anal. Appl. 388, 248–271 (2012)CrossRef 13.S. Yuan, M. Han, Z. Ma, Competition in the chemostat: convergence of a model with delayed response in growth. Chaos Solitons Fractals 17, 659–667 (2003)CrossRef 14.Q. Zhang, D. Jiang, Z. Liu, D. O’Regan, The long time behavior of a predator–prey model with disease in the prey by stochastic perturbation. Appl. Math. Comput. 245, 305–320 (2014)CrossRef 15.Y. Zhao, D. Jiang, The threshold of a stochastic SIS epidemic model with vaccination. Appl. Math. Comput. 243, 718–727 (2014)CrossRef
作者单位:Qiumei Zhang (1) (2) Daqing Jiang (1) (3)
1. College of Science, China University of Petroleum (East China), Qingdao, 266580, China 2. School of Science, Changchun University, Changchun, 130022, China 3. Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
刊物类别:Chemistry and Materials Science
刊物主题:Chemistry Physical Chemistry Theoretical and Computational Chemistry Mathematical Applications in Chemistry
出版者:Springer Netherlands
ISSN:1572-8897
文摘
The present paper deals with the problem of a chemostat model with Holling type II functional response by stochastic perturbation. The main objective of the work is to find out sufficient conditions which guarantee that the principle of competitive exclusion holds for this perturbed model. Numerical simulations for a hypothetical set of parameter values are presented to illustrate the analytical findings. Keywords Chemostat model Holling type II functional response Stochastic perturbation Competitive exclusion Extinction