Several approaches exist to model the evolution of dynamical systems with large populations. These approaches can be roughly divided into microscopic ones, which are usually stochastic and discrete, and macroscopic ones, which are obtained as the limit behaviour when the populations tend to infinity and are usually deterministic and continuous. We study the dynamics obtained by both approaches in systems with one deterministic equilibrium. We show that such dynamics can exhibit rather different behaviour around the deterministic equilibrium, in particular, the limit behaviour can tend to an equilibrium while the stochastic discrete dynamics oscillates indefinitely. To evaluate such stochastic oscillations quantitatively, we propose a system...
The response of a dynamical system modelled by differential equations with white noise as the forcin...
The conceptual difference between equilibrium and non-equilibrium steady state (NESS) is well establ...
Many biological and physiological processes involve self-regulating mechanisms that prevent too much...
Several approaches exist to model the evolution of dynamical systems with large populations. These a...
Although the populations of biological systems are inherently discrete and their dynamics are strong...
Many non-linear deterministic models for interacting populations present damped oscillations towards...
We discuss the stochastic dynamics of biological (and other) populations presenting a limit behaviou...
Abstract. We analyze the relationship between the macroscopic and microscopic de-scriptions of two-s...
The paper examines some concepts of bifurcations in stochastically perturbed dynamical systems gover...
Abstract. This paper is about limiting (large system) behavior of a set of differential equations wi...
This thesis is separated into two investigations, both involving models written as a series of chemi...
International audienceIn the context of biology and ecology, stochastic differential equations (SDE)...
Abstract: Uncertainty propagation and quantification has gained consider-able research attention dur...
Traditionally, frequency dependent evolutionary dynamics is described by deterministic replicator dy...
In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn...
The response of a dynamical system modelled by differential equations with white noise as the forcin...
The conceptual difference between equilibrium and non-equilibrium steady state (NESS) is well establ...
Many biological and physiological processes involve self-regulating mechanisms that prevent too much...
Several approaches exist to model the evolution of dynamical systems with large populations. These a...
Although the populations of biological systems are inherently discrete and their dynamics are strong...
Many non-linear deterministic models for interacting populations present damped oscillations towards...
We discuss the stochastic dynamics of biological (and other) populations presenting a limit behaviou...
Abstract. We analyze the relationship between the macroscopic and microscopic de-scriptions of two-s...
The paper examines some concepts of bifurcations in stochastically perturbed dynamical systems gover...
Abstract. This paper is about limiting (large system) behavior of a set of differential equations wi...
This thesis is separated into two investigations, both involving models written as a series of chemi...
International audienceIn the context of biology and ecology, stochastic differential equations (SDE)...
Abstract: Uncertainty propagation and quantification has gained consider-able research attention dur...
Traditionally, frequency dependent evolutionary dynamics is described by deterministic replicator dy...
In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn...
The response of a dynamical system modelled by differential equations with white noise as the forcin...
The conceptual difference between equilibrium and non-equilibrium steady state (NESS) is well establ...
Many biological and physiological processes involve self-regulating mechanisms that prevent too much...