The effects of delayed growth response on the dynamic behaviors of the Monod type chemostat model with impulsive input nutrient concentration

Abstract This paper investigates the effects of delayed growth response on the dynamic behaviors of the Monod type chemostat model with impulsive input nutrient concentration. By the use of the discrete dynamical system determined by the stroboscopic map, we obtain a ‘microorganism-extinction’ periodic solution, further, prove that the ‘microorganism-extinction’ periodic solution is globally attractive if the impulsive period satisfies some conditions. Using the theory on delay functional and impulsive differential equation, we obtain sufficient condition with time delay for the permanence of the system, and prove that time delays, impulsive input nutrient can bring obvious effects on the dynamic behaviors of the model.

[1]  Bing Liu,et al.  The dynamical behaviors of a Lotka–Volterra predator–prey model concerning integrated pest management ☆ , 2005 .

[2]  S. F. Ellermeyer,et al.  Competition in the Chemostat: Global Asymptotic Behavior of a Model with Delayed Response in Growth , 1994, SIAM J. Appl. Math..

[3]  Huaxing Xia,et al.  Transient oscillations induced by delayed growth response in the chemostat , 2005, Journal of mathematical biology.

[4]  Doraiswami Ramkrishna,et al.  Dynamics of microbial propagation: Models considering inhibitors and variable cell composition , 1967 .

[5]  Robert J. Smith,et al.  ANALYSIS OF A MODEL OF THE NUTRIENT DRIVEN SELF-CYCLING FERMENTATION PROCESS , 2004 .

[6]  John Caperon,et al.  Time Lag in Population Growth Response of Isochrysis Galbana to a Variable Nitrate Environment , 1969 .

[7]  M. Bazin,et al.  Microbial population dynamics , 1982 .

[8]  T. Thingstad,et al.  Dynamics of chemostat culture:the effect of a delay in cell response. , 1974, Journal of theoretical biology.

[9]  Gail S. K. Wolkowicz,et al.  Competition in the Chemostat: A Distributed Delay Model and Its Global Asymptotic Behavior , 1997, SIAM J. Appl. Math..

[10]  Guifang Fu,et al.  Hopf bifurcations of a variable yield chemostat model with inhibitory exponential substrate uptake , 2006 .

[11]  Yongfeng Li,et al.  Dynamics of a predator-prey system with pulses , 2008, Appl. Math. Comput..

[12]  Gail S. K. Wolkowicz,et al.  Bifurcation Analysis of a Chemostat Model with a Distributed Delay , 1996 .

[13]  Lansun Chen,et al.  Dynamic behaviors of Monod type chemostat model with impulsive perturbation on the nutrient concentration , 2007 .

[14]  Sze-Bi Hsu,et al.  A Mathematical Model of the Chemostat with Periodic Washout Rate , 1985 .

[15]  Zhidong Teng,et al.  The effects of pulse vaccination on SEIR model with two time delays , 2008, Appl. Math. Comput..

[16]  Xinzhi Liu,et al.  Permanence of population growth models with impulsive effects , 1997 .

[17]  Tao Zhao Global Periodic-Solutions for a Differential Delay System Modeling a Microbial Population in the Chemostat , 1995 .

[18]  Y. Kuang Delay Differential Equations: With Applications in Population Dynamics , 2012 .

[19]  J. Monod,et al.  Thetechnique of continuous culture. , 1950 .

[20]  Eric T. Funasaki,et al.  Invasion and Chaos in a Periodically Pulsed Mass-Action Chemostat , 1993 .

[21]  Sze-Bi Hsu,et al.  A Mathematical Theory for Single-Nutrient Competition in Continuous Cultures of Micro-Organisms , 1977 .

[22]  A. Bush,et al.  The effect of time delay and growth rate inhibition in the bacterial treatment of wastewater. , 1976, Journal of theoretical biology.

[23]  Gail S. K. Wolkowicz,et al.  Global Asymptotic Behavior of a Chemostat Model with Discrete Delays , 1997, SIAM J. Appl. Math..

[24]  Jacques Monod,et al.  LA TECHNIQUE DE CULTURE CONTINUE THÉORIE ET APPLICATIONS , 1978 .

[25]  Paul Georgescu,et al.  AN IMPULSIVE PREDATOR-PREY SYSTEM WITH BEDDINGTON-DEANGELIS FUNCTIONAL RESPONSE AND TIME DELAY , 2008 .

[26]  V. Lakshmikantham,et al.  Theory of Impulsive Differential Equations , 1989, Series in Modern Applied Mathematics.

[27]  Jianjun Jiao,et al.  The dynamics of an age structured predator–prey model with disturbing pulse and time delays ☆ , 2008 .

[28]  S. Hubbell,et al.  Single-nutrient microbial competition: qualitative agreement between experimental and theoretically forecast outcomes. , 1980, Science.

[29]  J. K. Hale,et al.  Competition for fluctuating nutrient , 1983 .

[30]  Xianning Liu,et al.  Complex dynamics of Holling type II Lotka–Volterra predator–prey system with impulsive perturbations on the predator ☆ , 2003 .

[31]  Mei Song,et al.  Global stability of an SIR epidemicmodel with time delay , 2004, Appl. Math. Lett..