Linear parabolic equation with Dirichlet white noise boundary conditions
Beniamin Goldys and Szymon Peszat
Abstract
We study inhomogeneous Dirichlet boundary value problems
associated to a linear parabolic equation
with strongly elliptic operator on bounded and unbounded
domains with white noise boundary data. Our main assumption is
that the heat kernel of the corresponding homogeneous problem
enjoys the Gaussiantype estimates taking into account the
distance to the boundary. Under mild assumptions about the
domain, we show that generates a -semigroup in
weighted -spaces where the weight is a proper power of
the distance from the boundary. We also prove some smoothing
properties and exponential stability of the semigroup. Finally,
we reformulate the Cauchy-Dirichlet problem with white noise
boundary data as an evolution equation in the weighted space and
prove the existence of Markovian solutions.
Keywords:
stochastic partial differential equations, white noise boundary conditions, Ornstein–Uhlenbeck process, Dirichlet boundary conditions.
AMS Subject Classification:
Primary 60G15; secondary 60H15, 60J99.