The Ratio Predator-Prey Model with Random Initial Conditions

Almbrok Omar (1) , Iman Ahmed (2)
(1) Mathematics Department, Faculty of Sciences, Sebha University, Libya ,
(2) Mathematics Department, Faculty of Sciences, Sebha University, Libya

Abstract

In this work, the predator-prey model with the ratio-dependent functional response is considered,  where the randomness enters into the equations only through their initial conditions. It is done by assuming normal distribution as the initial states of the model to treat the randomness. The passage from the deterministic situation to the random one for these equations is also the most transparent. In addition, a numerical simulation will be offered using the modified approach founded on the fifth-order improved Runge-Kutta method. Furthermore, the stability of the equilibrium points, and certain statistical properties related to the random behaviour of predators and their prey, will be analyzed and discussed.

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References

T. T. Soong and S. TT, "Random differential equations in science and engineering," 1973.

Y. A. H. Almbrok Hussin Alsonosi Omar, Iman Aissa Alghannay Ahmed, "The Fuzzy Ratio Prey-Predator Model," Int. J. Comput. Sci. Electron. Eng., vol. 3, no. 1, pp. 101–106, 2015.

M. da Silva Peixoto, L. C. de Barros, and R. C. Bassanezi, “Predator–prey fuzzy model,” Ecol. Modell., vol. 214, no. 1, pp. 39–44, 2008.

C. Xu and G. Z. Gertner, "Uncertainty analysis of transient population dynamics," Ecol. Modell., vol. 220, no. 3, pp. 283–293, 2009.

S. Narayanamoorthy, D. Baleanu, K. Thangapandi, and S. S. N. Perera, "Analysis for fractional-order predator–prey model with uncertainty," IET Syst. Biol., vol. 13, no. 6, pp. 277–289, 2019.

B. Kegan and R. W. West, "Modeling the simple epidemic with deterministic differential equations and random initial conditions," Math. Biosci., vol. 195, no. 2, pp. 179–193, 2005.

A. H. A. Omar and Y. A. Hasan, "Numerical simulations of an SIR epidemic model with random initial states," ScienceAsia, vol. 39, no. SUPPL.1, 2013, doi: 10.2306/scienceasia1513-1874.2013.39S.042.

P. K. Pollett, A. H. Dooley, and J. V Ross, "Modelling population processes with random initial conditions," Math. Biosci., vol. 223, no. 2, pp. 142–150, 2010.

P. N. V Tu and E. A. Wilman, "A generalized predator-prey model: Uncertainty and management," J. Environ. Econ. Manage., vol. 23, no. 2, pp. 123–138, 1992.

Y. H. ALMBROK HUSSIN ALSONOSI Omar, "The interaction of predator prey with uncertain initial population sizes," J. Qual. Meas. Anal. JQMA, vol. 7, no. 2, pp. 75–83, 2011.

Y. A.-H. AH ALSONOSI OMAR, "Uncertainty in the Initial Population of a Predator-Prey Model," 30 November–3 December 2010 Kuala Lumpur, Malaysia, p. 606, 2010.

S. Raczynski, "Uncertainty Treatment in Prey-Predator Models Using Differential Inclusions.," Nonlinear Dynamics. Psychol. Life Sci., vol. 22, no. 4, pp. 421–438, 2018.

B. Mondal, M. S. Rahman, S. Sarkar, and U. Ghosh, "Studies of dynamical behaviours of an imprecise predator-prey model with Holling type II functional response under interval uncertainty," Eur. Phys. J. Plus, vol. 137, no. 1, p. 74, 2021, doi: 10.1140/epjp/s13360-021-02308-9.

S. E. Barhagh, M. Zarghami, Y. Alizade Govarchin Ghale, and M. R. Shahbazbegian, "System dynamics to assess the effectiveness of restoration scenarios for the Urmia Lake: A prey-predator approach for the human-environment uncertain interactions," J. Hydrol., vol. 593, p. 125891, 2021, doi: https://doi.org/10.1016/j.jhydrol.2020.125891.

R. Arditi and L. R. Ginzburg, "Coupling in predator-prey dynamics: ratio-dependence," J. Theor. Biol., vol. 139, no. 3, pp. 311–326, 1989.

M. Bandyopadhyay and J. Chattopadhyay, "Ratio-dependent predator–prey model: effect of environmental fluctuation and stability," Nonlinearity, vol. 18, no. 2, p. 913, 2005.

H. I. Freedman and R. M. Mathsen, "Persistence in predator-prey systems with ratio-dependent predator influence," Bull. Math. Biol., vol. 55, no. 4, pp. 817–827, 1993.

C. Jost, O. Arino, and R. Arditi, "About deterministic extinction in ratio-dependent predator–prey models," Bull. Math. Biol., vol. 61, no. 1, pp. 19–32, 1999.

Y. Kuang and E. Beretta, "Global qualitative analysis of a ratio-dependent predator–prey system," J. Math. Biol., vol. 36, no. 4, pp. 389–406, 1998.

Y. Kuang, "Basic properties of mathematical population models," J. Biomath, vol. 17, no. 2, pp. 129–142, 2002.

M. Pilling, "Handbook of Statistical Distributions with Applications 2nd edn K. Krishnamoorthy, 2016 Boca Raton, CRC Press 376 pp.£ 69.99 (hardbound);£ 66.49 (e-book) ISBN 978-1-584-88635-8," 2017.

Almbrok Hussin Alsonosi Omar and Iman Aissa Alghannay Ahmed, "Fifth Order Improved Runge-Kutta Method for Random Initial Value Problems," Sebha Univ. J. pure Appl. Sci., vol. 16, no. 2, 2017.

M. J. Panik, Advanced statistics from an elementary point of view. Academic Press, 2005.

D. C. Howell, Statistical methods for psychology. Cengage Learning, 2012.

B. P. Roe, Probability and statistics in experimental physics. Springer Science & Business Media, 2001.

Authors

Almbrok Omar
alm.omar@sebhau.edu.ly (Primary Contact)
Iman Ahmed
Omar, A., & Ahmed , I. (2023). The Ratio Predator-Prey Model with Random Initial Conditions. Journal of Pure & Applied Sciences, 22(1), 5–11. https://doi.org/10.51984/jopas.v22i1.1798

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