This volume deals with the random perturbation of PDEs which lack well-posedness, mainly because of their non-uniqueness, in some cases because of blow-up. The aim is to show that noise may restore uniqueness or prevent blow-up. This is not a general or easy-to-apply rule, and the theory presented in the book is in fact a series of examples with a few unifying ideas. The role of additive and bilinear multiplicative noise is described and a variety of examples are included, from abstract parabolic evolution equations with non-Lipschitz nonlinearities to particular fluid dynamic models, like the dyadic model, linear transport equations and motion of point vortices
In this article, we deal with the stochastic perturbation of degenerate parabolic partial differenti...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
This volume deals with the random perturbation of PDEs which lack well-posedness, mainly because of ...
These lecture notes presents very recent progresses on the problem of the improvements of well posed...
The understanding of transport mechanisms in PDEs is at the core of some of the main open problems i...
In this work we present examples of the effects of noise on the solution of a partial differential e...
This paper is concerned with the problem of regularization by noise of systems of reaction–diffusion...
This article-based thesis comprises a collection of four articles, each of which constitutes a chapt...
Regularization by noise for certain classes of fluid dynamic equations, a theme dear to Giuseppe Da ...
In this paper, we consider the impacts of noise on ordinary differential equations. We first prove t...
For the deterministic dyadic model of turbulence, there are examples of initial conditions in l^2 wh...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
For the deterministic dyadic model of turbulence, there are examples of initial conditions in l2 whi...
We review recent results from the theory of random differential equations with bounded noise. Assumi...
In this article, we deal with the stochastic perturbation of degenerate parabolic partial differenti...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
This volume deals with the random perturbation of PDEs which lack well-posedness, mainly because of ...
These lecture notes presents very recent progresses on the problem of the improvements of well posed...
The understanding of transport mechanisms in PDEs is at the core of some of the main open problems i...
In this work we present examples of the effects of noise on the solution of a partial differential e...
This paper is concerned with the problem of regularization by noise of systems of reaction–diffusion...
This article-based thesis comprises a collection of four articles, each of which constitutes a chapt...
Regularization by noise for certain classes of fluid dynamic equations, a theme dear to Giuseppe Da ...
In this paper, we consider the impacts of noise on ordinary differential equations. We first prove t...
For the deterministic dyadic model of turbulence, there are examples of initial conditions in l^2 wh...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
For the deterministic dyadic model of turbulence, there are examples of initial conditions in l2 whi...
We review recent results from the theory of random differential equations with bounded noise. Assumi...
In this article, we deal with the stochastic perturbation of degenerate parabolic partial differenti...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...