4,156 research outputs found
Properties of the density for a three dimensional stochastic wave equation
We consider a stochastic wave equation in space dimension three driven by a
noise white in time and with an absolutely continuous correlation measure given
by the product of a smooth function and a Riesz kernel. Let be the
density of the law of the solution of such an equation at points
(t,x)\in]0,T]\times \IR^3. We prove that the mapping owns the same regularity as the sample paths of the process
\{u(t,x), (t,x)\in]0,T]\times \mathbbR^3\} established Dalang and Sanz-Sol\'e
[Memoirs of the AMS, to appear]. The proof relies on Malliavin calculus and
more explicitely, Watanabe's integration by parts formula and estimates derived
form it.Comment: 29 page
Large deviations for rough paths of the fractional Brownian motion
Starting from the construction of a geometric rough path associated with a
fractional Brownian motion with Hurst parameter given by
Coutin and Qian (2002), we prove a large deviation principle in the space of
geometric rough paths, extending classical results on Gaussian processes. As a
by-product, geometric rough paths associated to elements of the reproducing
kernel Hilbert space of the fractional Brownian motion are obtained and an
explicit integral representation is given.Comment: 32 page
The stochastic wave equation in high dimensions: Malliavin differentiability and absolute continuity
We consider the class of non-linear stochastic partial differential equations
studied in \cite{conusdalang}. Equivalent formulations using integration with
respect to a cylindrical Brownian motion and also the Skorohod integral are
established. It is proved that the random field solution to these equations at
any fixed point (t,x)\in[0,T]\times \Rd is differentiable in the Malliavin
sense. For this, an extension of the integration theory in \cite{conusdalang}
to Hilbert space valued integrands is developed, and commutation formulae of
the Malliavin derivative and stochastic and pathwise integrals are proved. In
the particular case of equations with additive noise, we establish the
existence of density for the law of the solution at (t,x)\in]0,T]\times\Rd.
The results apply to the stochastic wave equation in spatial dimension .Comment: 34 page
Probability density for a hyperbolic SPDE with time dependent coefficients
We prove the existence and smoothness of density for the solution of a
hyperbolic SPDE with free term coefficients depending on time, under
hypoelliptic non degeneracy conditions. The result extends those proved in
Cattiaux and Mesnager, PTRF 2002, to an infinite dimensional setting.Comment: 15 page
Mild Solutions for a Class of Fractional SPDEs and Their Sample Paths
In this article we introduce and analyze a notion of mild solution for a
class of non-autonomous parabolic stochastic partial differential equations
defined on a bounded open subset and driven by an
infinite-dimensional fractional noise. The noise is derived from an
-valued fractional Wiener process whose covariance operator
satisfies appropriate restrictions; moreover, the Hurst parameter is
subjected to constraints formulated in terms of and the H\"{o}lder exponent
of the derivative of the noise nonlinearity in the equations. We
prove the existence of such solution, establish its relation with the
variational solution introduced in \cite{nuavu} and also prove the H\"{o}lder
continuity of its sample paths when we consider it as an --valued
stochastic processes. When is an affine function, we also prove uniqueness.
The proofs are based on a relation between the notions of mild and variational
solution established in Sanz-Sol\'e and Vuillermot 2003, and adapted to our
problem, and on a fine analysis of the singularities of Green's function
associated with the class of parabolic problems we investigate. An immediate
consequence of our results is the indistinguishability of mild and variational
solutions in the case of uniqueness.Comment: 37 page
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