The time evolution of an order parameter towards equilibrium can be described by nonlinear Ginzburg-Landau (GL) type of equations, also known as time-dependent nonlinear Schrodinger equations. Environmental effects of random nature are usually taken into account by noise sources, turning the GL equations into stochastic equations. Noise sources give rise to lattice-spacing dependence of the solutions of the stochastic equations. We present a systematic method to renormalize the equations on a spatial lattice to obtain lattice-spacing independent solutions. We illustrate the method in approximation schemes designed to treat nonlinear and nonlocal GL equations that appear in real time thermal field theory and stochastic quantization.Conselho ...
2In this work, we introduce two spatiotemporal colored bounded noises, based on the zero-dimensional...
We consider stochastic partial differential equations with multiplicative noise. We derive an algori...
A plethora of computational techniques have been developed for computing quantities of interest in “...
Nesta Dissertação apresentamos um estudo numéerico em uma dimensão espacial da equação de Ginzburg-L...
This work is concerned with non-equilibrium phenomena, with focus on the numerical simulation of the...
We consider the nonequilibrium dynamics of the formation of a condensate in a spontaneously broken'l...
We use the perturbative renormalization group to study classical stochastic processes with memory. W...
The time evolution of the matter produced in high energy heavy-ion collisions seems to be well descr...
A general approach to nonlinear stochastic equations with white noise is proposed. It consists of a ...
We analyze several aspects of a reaction-diffusion equation in two space dimensions with cubic nonli...
A general approach to nonlinear stochastic equations with white noise is proposed. It consists of a ...
We consider the out-of-equilibrium time evolution of a nonconserved order parameter using the Ginzbu...
An effect of multiplicative noise in the time-dependent Ginzburg-Landau model is reported, namely, t...
AbstractIn this note, we numerically investigate a stochastic nonlinear Schrödinger equation derived...
We study the mechanism of stochastic resonance for the Landau Ginzburg equation in two space dimensi...
2In this work, we introduce two spatiotemporal colored bounded noises, based on the zero-dimensional...
We consider stochastic partial differential equations with multiplicative noise. We derive an algori...
A plethora of computational techniques have been developed for computing quantities of interest in “...
Nesta Dissertação apresentamos um estudo numéerico em uma dimensão espacial da equação de Ginzburg-L...
This work is concerned with non-equilibrium phenomena, with focus on the numerical simulation of the...
We consider the nonequilibrium dynamics of the formation of a condensate in a spontaneously broken'l...
We use the perturbative renormalization group to study classical stochastic processes with memory. W...
The time evolution of the matter produced in high energy heavy-ion collisions seems to be well descr...
A general approach to nonlinear stochastic equations with white noise is proposed. It consists of a ...
We analyze several aspects of a reaction-diffusion equation in two space dimensions with cubic nonli...
A general approach to nonlinear stochastic equations with white noise is proposed. It consists of a ...
We consider the out-of-equilibrium time evolution of a nonconserved order parameter using the Ginzbu...
An effect of multiplicative noise in the time-dependent Ginzburg-Landau model is reported, namely, t...
AbstractIn this note, we numerically investigate a stochastic nonlinear Schrödinger equation derived...
We study the mechanism of stochastic resonance for the Landau Ginzburg equation in two space dimensi...
2In this work, we introduce two spatiotemporal colored bounded noises, based on the zero-dimensional...
We consider stochastic partial differential equations with multiplicative noise. We derive an algori...
A plethora of computational techniques have been developed for computing quantities of interest in “...