This paper discusses analytical and numerical issues related to elliptic equations with random coefficients which are generally nonlinear functions of white noise. Singularity issues are avoided by using the Itô-Skorohod calculus to interpret the interactions between the coefficients and the solution. The solution is constructed by means of the Wiener Chaos (Cameron-Martin) expansions. The existence and uniqueness of the solutions are established under rather weak assumptions, the main of which requires only that the expectation of the highest order (differential) operator is a non-degenerate elliptic operator. The deterministic coefficients of the Wiener Chaos expansion of the solution solve a lower-triangular system of linear elliptic equations (the propagator). This structure of the propagator insures linear complexity of the related numerical algorithms. Using the lower triangular structure and linearity of the propagator, the rate of convergence is derived for a spectral/hp finite element approximation. The results of related numerical experiments are presented.
Keywords: elliptic PDE, random coefficients, Wiener chaos, spectral finite elements
@article{M2AN_2010__44_5_1135_0,
author = {Lototsky, Sergey V. and Rozovskii, Boris L. and Wan, Xiaoliang},
title = {Elliptic equations of higher stochastic order},
journal = {ESAIM: Mod\'elisation math\'ematique et analyse num\'erique},
pages = {1135--1153},
year = {2010},
publisher = {EDP Sciences},
volume = {44},
number = {5},
doi = {10.1051/m2an/2010055},
mrnumber = {2731406},
zbl = {1203.65020},
language = {en},
url = {https://www.numdam.org/articles/10.1051/m2an/2010055/}
}
TY - JOUR AU - Lototsky, Sergey V. AU - Rozovskii, Boris L. AU - Wan, Xiaoliang TI - Elliptic equations of higher stochastic order JO - ESAIM: Modélisation mathématique et analyse numérique PY - 2010 SP - 1135 EP - 1153 VL - 44 IS - 5 PB - EDP Sciences UR - https://www.numdam.org/articles/10.1051/m2an/2010055/ DO - 10.1051/m2an/2010055 LA - en ID - M2AN_2010__44_5_1135_0 ER -
%0 Journal Article %A Lototsky, Sergey V. %A Rozovskii, Boris L. %A Wan, Xiaoliang %T Elliptic equations of higher stochastic order %J ESAIM: Modélisation mathématique et analyse numérique %D 2010 %P 1135-1153 %V 44 %N 5 %I EDP Sciences %U https://www.numdam.org/articles/10.1051/m2an/2010055/ %R 10.1051/m2an/2010055 %G en %F M2AN_2010__44_5_1135_0
Lototsky, Sergey V.; Rozovskii, Boris L.; Wan, Xiaoliang. Elliptic equations of higher stochastic order. ESAIM: Modélisation mathématique et analyse numérique, Special Issue on Probabilistic methods and their applications, Tome 44 (2010) no. 5, pp. 1135-1153. doi: 10.1051/m2an/2010055
[1] and , The p and h-p versions of the finite element method, basic principles and properties. SIAM Rev. 36 (1994) 578-632. | Zbl
[2] , and , Galerkin finite element approximations of stochastic elliptic partial differential equations. SIAM J. Numer. Anal. 42 (2004) 800-825. | Zbl
[3] and , The orthogonal development of nonlinear functionals in a series of Fourier-Hermite functions. Ann. Math. 48 (1947) 385-392. | Zbl
[4] , On convergence rate of Wiener-Ito expansion for generalized random variables. Stochastics 78 (2006) 179-187. | Zbl
[5] , The finite element method for elliptic problems, Classics in Applied Mathematics 40. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2002). | Zbl
[6] , and , A Fourier-wavelet Monte Carlo method for fractal random fields. J. Comput. Phys. 132 (1997) 384-408. | Zbl
[7] , , and , White noise. Kluwer Academic Publishers, Boston (1993). | Zbl
[8] , , and , Stochastic partial differential equations. Birkhäuser, Boston (1996). | Zbl
[9] , Stochastic integral. Proc. Imp. Acad. Tokyo 20 (1944) 519-524. | Zbl
[10] and , Spectral/hp element methods for computational fluid dynamics. Second edition, Numerical Mathematics and Scientific Computation, Oxford University Press, New York (2005). | Zbl
[11] , , , and , Generalized functionals in Gaussian spaces: the characterization theorem revisited. J. Funct. Anal. 141 (1996) 301-318. | Zbl
[12] , White noise distribution theory. Probability and Stochastics Series, CRC Press, Boca Raton (1996). | Zbl
[13] , Probability theory - I, Graduate Texts in Mathematics 45. Fourth edition, Springer-Verlag, New York (1977). | Zbl
[14] and , Stochastic differential equations driven by purely spatial noise. SIAM J. Math. Anal. 41 (2009) 1295-1322. | Zbl
[15] , The Malliavin calculus and related topics. Second edition, Probability and its Applications (New York), Springer-Verlag, Berlin (2006). | Zbl
[16] and , Expansion theorems for generalized random processes, Wick products and applications to stochastic differential equations. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 10 (2007) 79-110. | Zbl
[17] and , On the generalized stochastic Dirichlet problem. Part I: The stochastic weak maximum principle. Potential Anal. 32 (2010) 363-387. | Zbl
[18] , p- and hp-finite element methods, Theory and applications in solid and fluid mechanics. Numerical Mathematics and Scientific Computation, Oxford University Press, New York (1998). | Zbl
[19] and , Simulation of stochastic processes by spectral representation. AMR 44 (1991) 191-204.
[20] , Solving Wick-stochastic boundary value problems using a finite element method. Stochastics Stochastics Rep. 70 (2000) 241-270. | Zbl
[21] , Variational methods for PDEs applied to stochastic partial differential equations. Math. Scand. 82 (1998) 113-137. | Zbl
[22] , and , A stochastic modeling methodology based on weighted Wiener chaos and Malliavin calculus. Proc. Natl. Acad. Sci. USA 106 (2009) 14189-14194. | Zbl
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