Stability Switching in Lotka-Volterra and Ricker-Type Predator-Prey Systems with Arbitrary Step Size

Author:

Kekulthotuwage Don Shamika1ORCID,Burrage Kevin12ORCID,Helmstedt Kate J.12ORCID,Burrage Pamela M.12ORCID

Affiliation:

1. School of Mathematical Sciences, Queensland University of Technology, 2 George Street, Brisbane City, QLD 4000, Australia

2. Centre for Data Science, Queensland University of Technology, Y Block, Gardens Point Campus, 2 George Street, Brisbane City, QLD 4000, Australia

Abstract

Dynamical properties of numerically approximated discrete systems may become inconsistent with those of the corresponding continuous-time system. We present a qualitative analysis of the dynamical properties of two-species Lotka-Volterra and Ricker-type predator-prey systems under discrete and continuous settings. By creating an arbitrary time discretisation, we obtain stability conditions that preserve the characteristics of continuous-time models and their numerically approximated systems. Here, we show that even small changes to some of the model parameters may alter the system dynamics unless an appropriate time discretisation is chosen to return similar dynamical behaviour to what is observed in the corresponding continuous-time system. We also found similar dynamical properties of the Ricker-type predator-prey systems under certain conditions. Our results demonstrate the need for preliminary analysis to identify which dynamical properties of approximated discretised systems agree or disagree with the corresponding continuous-time systems.

Funder

Australian Research Council Fellowship

Publisher

MDPI AG

Subject

Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis

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