Let M denote the space of probability measures on R^D endowed with the Wasserstein metric. A differential calculus for a certain class of absolutely continuous curves in M was introduced by Ambrosio, Gigli, and Savare'. In this paper we develop a calculus for the corresponding class of differential forms on M. In particular we prove an analogue of Green\u2019s theorem for 1-forms and show that the corresponding first cohomology group, in the sense of de Rham, vanishes. For D = 2d we then define a symplectic distribution on M in terms of this calcu- lus, thus obtaining a rigorous framework for the notion of Hamiltonian systems as introduced by Ambrosio and Gangbo. Throughout the paper we emphasize the geometric viewpoint and the role played ...
AbstractWe obtain sufficient conditions in terms of Lyapunov functions for the existence of invarian...
We construct a recurrent diffusion process with values in the space of probability measures over an ...
International audienceSeveral optimal control problems in R d , like systems with uncertainty, contr...
This thesis consists of two parts. In the first part, we study stability properties of Hamiltonian s...
In this paper we consider a Hamiltonian H on P_2(R^{2d} ), the set of probability measures with fin...
Diffeological and differential spaces are generalisations of smooth structures on manifolds. We show...
Let X be a separable, complete metric space and Pp(X) be the space of Borel probability measures wit...
We study stochastic processes on the Wasserstein space, together with their infinitesimal generators...
Abstract. Here shape space is either the manifold of simple closed smooth unparameterized curves in ...
AbstractHere shape space is either the manifold of simple closed smooth unparameterized curves in R2...
In this paper we extend a previous result of the author [S. Lisini, Calc. Var. Partial D...
We construct differential forms of all orders and a covariant derivative together with its adjoint o...
We obtain sufficient conditions in terms of Lyapunov functions for the existence of invariant measur...
We provide a definition of the integral, along paths in the Sierpinski gasket K, for differential sm...
Abstract. We study the dynamics of Hamiltonian diffeomor-phisms on convex symplectic manifolds. To t...
AbstractWe obtain sufficient conditions in terms of Lyapunov functions for the existence of invarian...
We construct a recurrent diffusion process with values in the space of probability measures over an ...
International audienceSeveral optimal control problems in R d , like systems with uncertainty, contr...
This thesis consists of two parts. In the first part, we study stability properties of Hamiltonian s...
In this paper we consider a Hamiltonian H on P_2(R^{2d} ), the set of probability measures with fin...
Diffeological and differential spaces are generalisations of smooth structures on manifolds. We show...
Let X be a separable, complete metric space and Pp(X) be the space of Borel probability measures wit...
We study stochastic processes on the Wasserstein space, together with their infinitesimal generators...
Abstract. Here shape space is either the manifold of simple closed smooth unparameterized curves in ...
AbstractHere shape space is either the manifold of simple closed smooth unparameterized curves in R2...
In this paper we extend a previous result of the author [S. Lisini, Calc. Var. Partial D...
We construct differential forms of all orders and a covariant derivative together with its adjoint o...
We obtain sufficient conditions in terms of Lyapunov functions for the existence of invariant measur...
We provide a definition of the integral, along paths in the Sierpinski gasket K, for differential sm...
Abstract. We study the dynamics of Hamiltonian diffeomor-phisms on convex symplectic manifolds. To t...
AbstractWe obtain sufficient conditions in terms of Lyapunov functions for the existence of invarian...
We construct a recurrent diffusion process with values in the space of probability measures over an ...
International audienceSeveral optimal control problems in R d , like systems with uncertainty, contr...