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Embargoed until 2020-09-01
Copyright: Kazashi, Yoshihito
Embargoed until 2020-09-01
Copyright: Kazashi, Yoshihito
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Abstract
The overarching interest of this thesis lies in approximations of partial differential
equations (PDEs) with randomness or stochasticity. We focus on three
rather different problems: a study of random fields on spherical shells, and its
applications to PDE problems; quasi-Monte Carlo (QMC) methods for a class of
PDEs with random coefficients; and a discretisation for the solution of stochastic
PDEs.
First, we consider Gaussian random fields on spherical shells that are radially
anisotropic and rotationally isotropic. The smoothness of the covariance
function is connected to the sample continuity, partial differentiability, and the
Sobolev smoothness. Based on the regularity results, convergence rates of filtered
approximations are established: Gaussian and log-normal random fields approximated with filtering, and a class of elliptic PDEs with approximated random coefficients, are considered.
Second, we consider QMC integration of output functionals of solutions of a
class of PDEs with a log-normal random coefficient. The coefficient is assumed
to be given by an exponential of a Gaussian random field that is represented by
a series expansion in terms of some system of functions with local supports. A
quadrature error decay rate almost 1 is established, and the theory developed
here is applied to a wavelet stochastic model. It is shown that a wide class of
path smoothness can be treated with this framework.
Finally, we turn our attention to an approximation of stochastic parabolic
PDEs. We consider three discretisations: temporal, spatial, and the truncation
of the infinite-dimensional space-valued Wiener process. Temporally, we consider
the implicit Euler–Maruyama method with a non-uniform time step. For the
spatial discretisation, we consider the spectral method. Further, we truncate the
Wiener process, which is assumed to admit a series representation. We establish
a time discrete error estimate for this algorithm. Further, a discrete analogue of
maximal L2-regularity of the scheme is established, which has the same form as
their continuous counterpart.