Population systems are often subject to environmental noise, and our aim is to show that (surprisingly) the presence of even a tiny amount can suppress a potential population explosion. To prove this intrinsically interesting result, we stochastically perturb the multivariate deterministic system ẋ(t) = f(x(t)) into the Itô form dx(t) = f(x(t))dt + g(x(t))dw(t), and show that although the solution to the original ordinary differential equation may explode to infinity in a finite time, with probability one that of the associated stochastic differential equation does not
AbstractIn this paper we will develop a new stochastic population model under regime switching. Our ...
Understanding the mechanisms governing population extinctions is of key importance to many problems ...
This paper examines the asymptotic behaviour of the stochastic extension of a fundamentally importan...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
AbstractPopulations of biological species are often subject to different types of environmental nois...
AbstractWe reveal in this paper that the environmental noise will not only suppress a potential popu...
We reveal in this paper that the environmental noise will not only suppress a potential population e...
AbstractThis paper examines the asymptotic behaviour of the stochastic extension of a fundamentally ...
Stochastic differential equations (SDEs) have been subject of extensive research ever since the fou...
AbstractIn this paper we will develop a new stochastic population model under regime switching. Our ...
AbstractIn this paper we will develop a new stochastic population model under regime switching. Our ...
Understanding the mechanisms governing population extinctions is of key importance to many problems ...
This paper examines the asymptotic behaviour of the stochastic extension of a fundamentally importan...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
Population systems are often subject to environmental noise, and our aim is to show that (surprising...
AbstractPopulations of biological species are often subject to different types of environmental nois...
AbstractWe reveal in this paper that the environmental noise will not only suppress a potential popu...
We reveal in this paper that the environmental noise will not only suppress a potential population e...
AbstractThis paper examines the asymptotic behaviour of the stochastic extension of a fundamentally ...
Stochastic differential equations (SDEs) have been subject of extensive research ever since the fou...
AbstractIn this paper we will develop a new stochastic population model under regime switching. Our ...
AbstractIn this paper we will develop a new stochastic population model under regime switching. Our ...
Understanding the mechanisms governing population extinctions is of key importance to many problems ...
This paper examines the asymptotic behaviour of the stochastic extension of a fundamentally importan...