AbstractWe consider controlled ordinary differential equations and give new estimates for higher order Euler schemes. Our proofs are inspired by recent work of A.M. Davie who considers first and second order schemes. In order to implement the general case we make systematic use of geodesic approximations in the free nilpotent group. Such Euler estimates have powerful applications. By a simple limit argument they apply to rough path differential equations (RDEs) in the sense of T. Lyons and hence also to stochastic differential equations driven by Brownian motion or other random rough paths with sufficient integrability. In the context of the latter, we obtain strong remainder estimates in stochastic Taylor expansions a la Azencott, Ben Arou...
We study approximations to a class of vector-valued equations of Burgers type driven by a multiplica...
We give meaning to differential equations with a rough path term and a Brownian noise term and study...
International audienceIn 1990, in Itô's stochastic calculus framework, Aubin and Da Prato establishe...
Abstract. A theory of systems of differential equations of the form dyi = j f i j(y)dx i, where the ...
Abstract. Discrete approximations to solutions of stochastic differential equations are well-known t...
This dissertation contains three research directions. In the first direction, we use rough paths the...
AbstractThe theory of rough paths allows one to define controlled differential equations driven by a...
The main motivation behind writing this thesis was to construct numerical methods to approximate sol...
This paper aims to provide a systematic approach to the treatment of differential equations of the t...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...
In the spirit of Marcus canonical stochastic differential equations, we study a similar notion of ro...
We consider two discrete schemes for studying and approximating stochastic differential equations (...
The paper connects asymptotic estimations of [3] and [7] with the Rough Paths perspective ([13], [14...
We derive explicit tail-estimates for the Jacobian of the solution flow for stochastic differential ...
In one of the last Saint Flour lectures in 2004, T. Lyons remarked that a Peano theorem for rough di...
We study approximations to a class of vector-valued equations of Burgers type driven by a multiplica...
We give meaning to differential equations with a rough path term and a Brownian noise term and study...
International audienceIn 1990, in Itô's stochastic calculus framework, Aubin and Da Prato establishe...
Abstract. A theory of systems of differential equations of the form dyi = j f i j(y)dx i, where the ...
Abstract. Discrete approximations to solutions of stochastic differential equations are well-known t...
This dissertation contains three research directions. In the first direction, we use rough paths the...
AbstractThe theory of rough paths allows one to define controlled differential equations driven by a...
The main motivation behind writing this thesis was to construct numerical methods to approximate sol...
This paper aims to provide a systematic approach to the treatment of differential equations of the t...
Discrete approximations to solutions of stochastic differential equations are well-known to converge...
In the spirit of Marcus canonical stochastic differential equations, we study a similar notion of ro...
We consider two discrete schemes for studying and approximating stochastic differential equations (...
The paper connects asymptotic estimations of [3] and [7] with the Rough Paths perspective ([13], [14...
We derive explicit tail-estimates for the Jacobian of the solution flow for stochastic differential ...
In one of the last Saint Flour lectures in 2004, T. Lyons remarked that a Peano theorem for rough di...
We study approximations to a class of vector-valued equations of Burgers type driven by a multiplica...
We give meaning to differential equations with a rough path term and a Brownian noise term and study...
International audienceIn 1990, in Itô's stochastic calculus framework, Aubin and Da Prato establishe...