This paper considers competitive Lotka–Volterra population dynamics with jumps. The contributions of this paper are as follows. (a) We show that a stochastic differential equation (SDE) with jumps associated with the model has a unique global positive solution; (b) we discuss the uniform boundedness of the pth moment with p > 0 and reveal the sample Lyapunov exponents; (c) using a variation-of-constants formula for a class of SDEs with jumps, we provide an explicit solution for one-dimensional competitive Lotka–Volterra population dynamics with jumps, and investigate the sample Lyapunov exponent for each component and the extinction of our n-dimensional model
Spatially extended population dynamics models that incorporate demographic noise serve as case studi...
In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn...
This thesis focuses on the qualitative study of several parabolic equations of the Lotka-Volterra ty...
This paper considers competitive Lotka–Volterra population dynamics with jumps. The contributions of...
This paper considers competitive Lotka-Volterra population dynamics with jumps. The contributions of...
AbstractThis paper considers stochastic population dynamics driven by Lévy noise. The contributions ...
In this paper, we consider a non-autonomous stochastic Lotka-Volterra competitive system dxi(t) = xi...
AbstractThis paper examines the asymptotic behaviour of the stochastic extension of a fundamentally ...
This paper examines the asymptotic behaviour of the stochastic extension of a fundamentally importan...
In this paper, we investigate a Lotka-Volterra system under regime switching dx(t) = diag(x1(t); : :...
AbstractIn general, population systems are often subject to environmental noise. This paper consider...
AbstractThis paper continues the study of Mao et al. investigating two aspects of the equationdx(t)=...
AbstractFocusing on competitive Lotka–Volterra model in random environments, this paper uses regime-...
This paper studies the effect of jump-diffusion random environmental perturbations on the asymptotic...
Populations of competing biological species exhibit a fascinating interplay between the nonlinear dy...
Spatially extended population dynamics models that incorporate demographic noise serve as case studi...
In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn...
This thesis focuses on the qualitative study of several parabolic equations of the Lotka-Volterra ty...
This paper considers competitive Lotka–Volterra population dynamics with jumps. The contributions of...
This paper considers competitive Lotka-Volterra population dynamics with jumps. The contributions of...
AbstractThis paper considers stochastic population dynamics driven by Lévy noise. The contributions ...
In this paper, we consider a non-autonomous stochastic Lotka-Volterra competitive system dxi(t) = xi...
AbstractThis paper examines the asymptotic behaviour of the stochastic extension of a fundamentally ...
This paper examines the asymptotic behaviour of the stochastic extension of a fundamentally importan...
In this paper, we investigate a Lotka-Volterra system under regime switching dx(t) = diag(x1(t); : :...
AbstractIn general, population systems are often subject to environmental noise. This paper consider...
AbstractThis paper continues the study of Mao et al. investigating two aspects of the equationdx(t)=...
AbstractFocusing on competitive Lotka–Volterra model in random environments, this paper uses regime-...
This paper studies the effect of jump-diffusion random environmental perturbations on the asymptotic...
Populations of competing biological species exhibit a fascinating interplay between the nonlinear dy...
Spatially extended population dynamics models that incorporate demographic noise serve as case studi...
In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn...
This thesis focuses on the qualitative study of several parabolic equations of the Lotka-Volterra ty...