Dynamics of a stochastic Markovian switching predator-prey model with infinite memory and general Levy jumps

This paper investigates a stochastic Markovian switching predator-prey model with infinite memory and general Levy jumps. Firstly, we transfer a classic infinite memory predator-prey model with weak kernel case into an equivalent model through integral transform. Then, for the corresponding stochastic Markovian switching model, we establish the sufficient conditions for permanence in time average and the threshold between stability in time average and extinction. Finally, sufficient criteria for a unique ergodic stationary distribution of the model are derived. Our results show that, firstly, both white noise and infinite memory are unfavorable to the existence of the stationary distribution; secondly, the general Levy jumps could make the stationary distribution vanish as well as happen; finally, the Markovian switching could make the stationary distribution appear. (C) 2020 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.