Abstract

This paper is about to formulate a design of predator–prey model with constant and time fractional variable order. The predator and prey act as agents in an ecosystem in this simulation. We focus on a time fractional order Atangana–Baleanu operator in the sense of Liouville–Caputo. Due to the nonlocality of the method, the predator–prey model is generated by using another FO derivative developed as a kernel based on the generalized Mittag-Leffler function. Two fractional-order systems are assumed, with and without delay. For the numerical solution of the models, we not only employ the Adams–Bashforth–Moulton method but also explore the existence and uniqueness of these schemes. We use the fixed point theorem which is useful in describing the existence of a new approach with a particular set of solutions. For the illustration, several numerical examples are added to the paper to show the effectiveness of the numerical method.

Highlights

  • During the past decades, several mathematical models have been investigated to model prey–predator systems [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]

  • 2 Predator–prey model In this paper, we study the mathematical system proposed by Li in [36] and assume Atangana–Baleanu fractional order (FO) operator with constant and variable order

  • 3.1 Predator–prey model involving variable-order fractional derivative Adams–Moulton method with variable order we show an alteration of variable order (τ ) of the Adams–Moulton approach

Read more

Summary

Introduction

Several mathematical models have been investigated to model prey–predator systems [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]. The understanding of the relationship between herbivores and plants is extremely important in the behavior of the ecosystems. Those studies have been implemented in dynamical systems of organic models incorporating integer-order differential equations. In these models, the effects of long-range memories are neglected. Alkahtani in [32] investigated the FO triadic predator–prey model. This system was produced utilizing the latest FO differentiation related to the function of generalized Mittag-Leffler

Objectives
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call