AbstractTorsion free connections and a notion of curvature are introduced on the infinite dimensional nonlinear configuration space Γ of a Riemannian manifold M under a Poisson measure. This allows us to state identities of Weitzenböck type and energy identities for anticipating stochastic integral operators. The one-dimensional Poisson case itself gives rise to a non-trivial geometry, a de Rham–Hodge–Kodaira operator, and a notion of Ricci tensor under the Poisson measure. The methods used in this paper have been thus far applied to d-dimensional Brownian path groups and rely on the introduction of a particular tangent bundle and associated damped gradient
The purpose of this paper is to provide a both comprehensive and summarizing account on recent resul...
Statistical manifolds are representations of smooth families of probability density functions that a...
AbstractThe vanishing of the renormalized Ricci tensor of the path space above a Ricci flat Riemanni...
AbstractTorsion free connections and a notion of curvature are introduced on the infinite dimensiona...
Abstract- A connection and a covariant derivative are defined in the infinite-dimensional geometry o...
AbstractThe theory of integration in infinite dimensions is in some sense the backbone of probabilit...
Albeverio S, Kondratiev Y, Röckner M. Analysis and geometry on configuration spaces. JOURNAL OF FUNC...
AbstractIn this paper foundations are presented to a new systematic approach to analysis and geometr...
AbstractIn this paper foundations are presented to a new systematic approach to analysis and geometr...
AbstractWe shall consider on a Riemannian path space Pmo(M) the Cruzeiro–Malliavin's Markovian conne...
AbstractWe define a metric and a Markovian connection on the path space of a Riemannian manifold whi...
AbstractThe space ΓX of all locally finite configurations in a Riemannian manifold X of infinite vol...
The gradient on a Riemannian manifold X is lifted to the configuration space \Upsilon X on X via a...
Statistical manifolds are representations of smooth families of probability density functions that a...
Statistical manifolds are representations of smooth families of probability density functions that a...
The purpose of this paper is to provide a both comprehensive and summarizing account on recent resul...
Statistical manifolds are representations of smooth families of probability density functions that a...
AbstractThe vanishing of the renormalized Ricci tensor of the path space above a Ricci flat Riemanni...
AbstractTorsion free connections and a notion of curvature are introduced on the infinite dimensiona...
Abstract- A connection and a covariant derivative are defined in the infinite-dimensional geometry o...
AbstractThe theory of integration in infinite dimensions is in some sense the backbone of probabilit...
Albeverio S, Kondratiev Y, Röckner M. Analysis and geometry on configuration spaces. JOURNAL OF FUNC...
AbstractIn this paper foundations are presented to a new systematic approach to analysis and geometr...
AbstractIn this paper foundations are presented to a new systematic approach to analysis and geometr...
AbstractWe shall consider on a Riemannian path space Pmo(M) the Cruzeiro–Malliavin's Markovian conne...
AbstractWe define a metric and a Markovian connection on the path space of a Riemannian manifold whi...
AbstractThe space ΓX of all locally finite configurations in a Riemannian manifold X of infinite vol...
The gradient on a Riemannian manifold X is lifted to the configuration space \Upsilon X on X via a...
Statistical manifolds are representations of smooth families of probability density functions that a...
Statistical manifolds are representations of smooth families of probability density functions that a...
The purpose of this paper is to provide a both comprehensive and summarizing account on recent resul...
Statistical manifolds are representations of smooth families of probability density functions that a...
AbstractThe vanishing of the renormalized Ricci tensor of the path space above a Ricci flat Riemanni...