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Analytic regularity and polynomial approximation of stochastic, parametric elliptic multiscale PDEs
by V. H. Hoang and Ch. Schwab
(Report number 2011-07)
Abstract
A class of second order, elliptic PDEs in divergence form with stochastic and anisotropic conductivity coefficients and $n$ known, separated microscopic length scales $\epsilon_i$, $i=1,...,n$ in a bounded domain $D\subset R^d$ is considered. Neither stationarity nor ergodicity of these coefficients is assumed. Sufficient conditions are given for the random solution to converge $P$-a.s, as $\epsilon_i\rightarrow 0$, to a stochastic, elliptic one-scale limit problem in a tensorized domain of dimension $(n+1)d$. It is shown that this stochastic limit problem admits best $N$-term "polynomial chaos" type approximations which converge at a rate $\sigma>0$ that is determined by the summability of the random inputs' Karhúnen-Loève expansion. The convergence of the polynomial chaos expansion is shown to hold $P$-a.s. and uniformly with respect to the scale parameters $\epsilon_i$. Regularity results for the stochastic, one-scale limiting problem are established. An error bound for the approximation of the random solution at finite, positive values of the scale parameters $\epsilon_i$ is established in the case of two scales, and in the case of $n>2$ scales convergence is shown, albeit without giving a convergence rate in this case.
Keywords:
BibTeX@Techreport{HS11_102, author = {V. H. Hoang and Ch. Schwab}, title = {Analytic regularity and polynomial approximation of stochastic, parametric elliptic multiscale PDEs}, institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich}, number = {2011-07}, address = {Switzerland}, url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2011/2011-07.pdf }, year = {2011} }
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