Journals Information

Mathematics and Statistics Vol. 9(5), pp. 799 - 805
DOI: 10.13189/ms.2021.090520
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An Approximate Solution to Predator-prey Models Using The Differential Transform Method and Multi-step Differential Transform Method, in Comparison with Results of The Classical Runge-kutta Method

Adeniji A A 1,*, Noufe H. A 2, Mkolesia A C 1, Shatalov M Y 1
1 Department of Mathematics and Statistics, Tshwane University of technology, Pretoria, South Africa
2 Department of Mathematics, King Abdulaziz University, Rabigh, Saudi Arabia

ABSTRACT

Predator-prey models are the building blocks of the ecosystems as biomasses are grown out of their resource masses. Different relationships exist between these models as different interacting species compete, metamorphosis occurs and migrate strategically aiming for resources to sustain their struggle to exist. To numerically investigate these assumptions, ordinary differential equations are formulated, and a variety of methods are used to obtain and compare approximate solutions against exact solutions, although most numerical methods often require heavy computations that are time-consuming. In this paper, the traditional differential transform (DTM) method is implemented to obtain a numerical approximate solution to prey-predator models. The solution obtained with DTM is convergent locally within a small domain. The multi-step differential transform method (MSDTM) is a technique that improves DTM in the sense that it increases its interval of convergence of the series expansion. One predator-one prey and two-predator-one prey models are considered with a quadratic term which signifies other food sources for its feeding. The result obtained numerically and graphically shows point DTM diverges. The advantage of the new algorithm is that the obtained series solution converges for wide time regions and the solutions obtained from DTM and MSDTM are compared with solutions obtained using the classical Runge-Kutta method of order four. The results demonstrated is that MSDTM computes fast, is reliable and gives good results compared to the solutions obtained using the classical Runge-Kutta method.

KEYWORDS
Differential Transformation Method, Multi-step Differential Transform Method, Runge-Kutta Method, System of ODE, Mathematica®, Mathcad®, Maple®

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Adeniji A A , Noufe H. A , Mkolesia A C , Shatalov M Y , "An Approximate Solution to Predator-prey Models Using The Differential Transform Method and Multi-step Differential Transform Method, in Comparison with Results of The Classical Runge-kutta Method," Mathematics and Statistics, Vol. 9, No. 5, pp. 799 - 805, 2021. DOI: 10.13189/ms.2021.090520.

(b). APA Format:
Adeniji A A , Noufe H. A , Mkolesia A C , Shatalov M Y (2021). An Approximate Solution to Predator-prey Models Using The Differential Transform Method and Multi-step Differential Transform Method, in Comparison with Results of The Classical Runge-kutta Method. Mathematics and Statistics, 9(5), 799 - 805. DOI: 10.13189/ms.2021.090520.