Abstract. A theory of systems of differential equations of the form dyi = j f i j(y)dx i, where the driving path x(t) is non-differentiable, has recently been developed by Lyons. We develop an alternative approach to this theory, using (modified) Euler approximations, and investigate its applicability to stochastic differential equations driven by Brownian motion. We also give some other examples showing that the main results are reasonably sharp. 1
We consider differential equations driven by rough paths and study the regularity of the laws and th...
We consider non-linear parabolic evolution equations of the form δtu=F(t,x,Du,D2u), subject to noise...
We give meaning to differential equations with a rough path term and a Brownian noise term and study...
This paper aims to provide a systematic approach to the treatment of differential equations of the t...
AbstractThe theory of rough paths allows one to define controlled differential equations driven by a...
AbstractWe study a class of linear first and second order partial differential equations driven by w...
AbstractWe consider controlled ordinary differential equations and give new estimates for higher ord...
International audienceIn 1990, in Itô's stochastic calculus framework, Aubin and Da Prato establishe...
The main motivation behind writing this thesis was to construct numerical methods to approximate sol...
International audienceIn 1990, in Itô's stochastic calculus framework, Aubin and Da Prato establishe...
We consider two discrete schemes for studying and approximating stochastic differential equations (...
International audienceWe study a class of controlled differential equations driven by rough paths (o...
In the spirit of Marcus canonical stochastic differential equations, we study a similar notion of ro...
We consider non-linear parabolic evolution equations of the form and#948;tu=F(t,x,Du,D2u), subject t...
International audienceMotivated by the recent advances in the theory of stochastic partial different...
We consider differential equations driven by rough paths and study the regularity of the laws and th...
We consider non-linear parabolic evolution equations of the form δtu=F(t,x,Du,D2u), subject to noise...
We give meaning to differential equations with a rough path term and a Brownian noise term and study...
This paper aims to provide a systematic approach to the treatment of differential equations of the t...
AbstractThe theory of rough paths allows one to define controlled differential equations driven by a...
AbstractWe study a class of linear first and second order partial differential equations driven by w...
AbstractWe consider controlled ordinary differential equations and give new estimates for higher ord...
International audienceIn 1990, in Itô's stochastic calculus framework, Aubin and Da Prato establishe...
The main motivation behind writing this thesis was to construct numerical methods to approximate sol...
International audienceIn 1990, in Itô's stochastic calculus framework, Aubin and Da Prato establishe...
We consider two discrete schemes for studying and approximating stochastic differential equations (...
International audienceWe study a class of controlled differential equations driven by rough paths (o...
In the spirit of Marcus canonical stochastic differential equations, we study a similar notion of ro...
We consider non-linear parabolic evolution equations of the form and#948;tu=F(t,x,Du,D2u), subject t...
International audienceMotivated by the recent advances in the theory of stochastic partial different...
We consider differential equations driven by rough paths and study the regularity of the laws and th...
We consider non-linear parabolic evolution equations of the form δtu=F(t,x,Du,D2u), subject to noise...
We give meaning to differential equations with a rough path term and a Brownian noise term and study...