Dynamical Analysis of Phytoplankton–Zooplankton Interaction Model by Using Deterministic and Stochastic Approach

Author(s):  
Anal Chatterjee ◽  
Samares Pal
2018 ◽  
Vol 5 (1) ◽  
pp. 138-151 ◽  
Author(s):  
Jai Prakash Tripathi ◽  
Swati Tyagi ◽  
Syed Abbas

AbstractIn this paper, we study a predator-prey model with prey refuge and delay. We investigate the combined role of prey refuge and delay on the dynamical behaviour of the delayed system by incorporating discrete type gestation delay of predator. It is found that Hopf bifurcation occurs when the delay parameter τ crosses some critical value. In particular, it is shown that the conditions obtained for the Hopf bifurcation behaviour are sufficient but not necessary and the prey reserve is unable to stabilize the unstable interior equilibrium due to Hopf bifurcation. In particular, the direction and stability of bifurcating periodic solutions are determined by applying normal form theory and center manifold theorem for functional differential equations. Mathematically, we analyze the effect of increase or decrease of prey reserve on the equilibrium states of prey and predator species. At the end, we perform some numerical simulations to substantiate our analytical findings.


2021 ◽  
Author(s):  
Rimpi Pal ◽  
Afroz ◽  
Ayub Khan ◽  
MOHMAD AUSIF PADDER

Abstract Fractional order tumor-immune interaction models are being frequently used for understanding the complex behaviour of immune system and tumor growth. In this paper, a generalized fractional order tumor-immune interaction model has been developed by introducing immunotherapy (IL2) as third variable in the model. The study of generalized model is done by using conformable fractional order derivative. The stability analysis is done for both fractional order tumor model and its conformable fractional order version. By considering some biological fixed points for both versions of the model, the stability analysis around these fixed points shows that both the systems are stable at some fixed point under some stability conditions, which are defined in the model analysis. The numerical and graphical analysis is also done for both the systems by varying two parameters and keeping other parameters fixed for better understanding the dynamics of proposed model.


2021 ◽  
Vol 567 ◽  
pp. 125725
Author(s):  
Jai Prakash Tripathi ◽  
Sarita Bugalia ◽  
Kavita Burdak ◽  
Syed Abbas

2019 ◽  
Vol 66 (2) ◽  
pp. 247-254 ◽  
Author(s):  
Annabelle L. Atkin ◽  
Hyung Chol Yoo ◽  
Christine J. Yeh

1987 ◽  
Author(s):  
Norma P. Simon ◽  
Beverly Hitchins
Keyword(s):  

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