This paper analyzes the random fluctuations obtained by a heterogeneous multi-scale first-order finite element method applied to solve elliptic equations with a random potential. Several multi-scale numerical algorithms have been shown to correctly capture the homogenized limit of solutions of elliptic equations with coefficients modeled as stationary and ergodic random fields. Because theoretical results are available in the continuum setting for such equations, we consider here the case of a second-order elliptic equations with random potential in two dimensions of space. We show that the random fluctuations of such solutions are correctly estimated by the heterogeneous multi-scale algorithm when appropriate fine-scale problems are solved on subsets that cover the whole computational domain. However, when the fine-scale problems are solved over patches that do not cover the entire domain, the random fluctuations may or may not be estimated accurately. In the case of random potentials with short-range interactions, the variance of the random fluctuations is amplified as the inverse of the fraction of the medium covered by the patches. In the case of random potentials with long-range interactions, however, such an amplification does not occur and random fluctuations are correctly captured independent of the (macroscopic) size of the patches. These results are consistent with those obtained in [9] for more general equations in the one-dimensional setting and provide indications on the loss in accuracy that results from using coarser, and hence computationally less intensive, algorithms.
Mots-clés : equations with random coefficients, multi-scale finite element method, heterogeneous multi-scale method, corrector test, long-range correlations
@article{M2AN_2014__48_2_387_0, author = {Bal, Guillaume and Jing, Wenjia}, title = {Corrector {Analysis} of a {Heterogeneous} {Multi-scale} {Scheme} for {Elliptic} {Equations} with {Random} {Potential}}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis }, pages = {387--409}, publisher = {EDP-Sciences}, volume = {48}, number = {2}, year = {2014}, doi = {10.1051/m2an/2013112}, mrnumber = {3177850}, zbl = {1295.35386}, language = {en}, url = {http://www.numdam.org/articles/10.1051/m2an/2013112/} }
TY - JOUR AU - Bal, Guillaume AU - Jing, Wenjia TI - Corrector Analysis of a Heterogeneous Multi-scale Scheme for Elliptic Equations with Random Potential JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2014 SP - 387 EP - 409 VL - 48 IS - 2 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/m2an/2013112/ DO - 10.1051/m2an/2013112 LA - en ID - M2AN_2014__48_2_387_0 ER -
%0 Journal Article %A Bal, Guillaume %A Jing, Wenjia %T Corrector Analysis of a Heterogeneous Multi-scale Scheme for Elliptic Equations with Random Potential %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2014 %P 387-409 %V 48 %N 2 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/m2an/2013112/ %R 10.1051/m2an/2013112 %G en %F M2AN_2014__48_2_387_0
Bal, Guillaume; Jing, Wenjia. Corrector Analysis of a Heterogeneous Multi-scale Scheme for Elliptic Equations with Random Potential. ESAIM: Mathematical Modelling and Numerical Analysis , Multiscale problems and techniques. Special Issue, Tome 48 (2014) no. 2, pp. 387-409. doi : 10.1051/m2an/2013112. http://www.numdam.org/articles/10.1051/m2an/2013112/
[1] A multiscale finite element method for numerical homogenization. Multiscale Model. Simul. 4 (2005) 790-812. (electronic). | MR | Zbl
and ,[2] Analysis of a two-scale, locally conservative subgrid upscaling for elliptic problems. SIAM J. Numer. Anal. 42 (2004) 576-598. | MR | Zbl
,[3] Homogenization and its applications, mathematical and computational problems, Numerical Solutions of Partial Differential Equations-III, edited by B. Hubbard (SYNSPADE 1975, College Park, MD, May 1975). Academic Press, New York (1976) 89-116. | MR | Zbl
,[4] Solution of interface by homogenization. I, II, III. SIAM J. Math. Anal. 7 (1976) 603-634, 635-645. | Zbl
,[5] Solution of interface by homogenization. I, II, III. SIAM J. Math. Anal. 8 (1977) 923-937. | MR | Zbl
,[6] Central limits and homogenization in random media. Multiscale Model. Simul. 7 (2008) 677-702. | MR | Zbl
,[7] Corrector theory for elliptic equations with oscillatory and random potentials with long range correlations. Asymptot. Anal. 77 (2012) 123-145. | MR | Zbl
, , and ,[8] Random integrals and correctors in homogenization. Asymptot. Anal. 59 (2008) 1-26. | MR | Zbl
, , and ,[9] Corrector theory for MsFEM and HMM in random media. Multiscale Model. Simul. 9 (2011) 1549-1587. | MR | Zbl
and ,[10] Physics-based models for measurement correlations: application to an inverse Sturm-Liouville problem. Inverse Problems 25 (2009) 055006, 13. | MR | Zbl
and ,[11] Flux norm approach to finite dimensional homogenization approximations with non-separated scales and high contrast. Arch. Ration. Mech. Anal. 198 (2010) 677-721. | MR | Zbl
and ,[12] Estimates in probability of the residual between the random and the homogenized solutions of one-dimensional second-order operator. Asymptot. Anal. 21 (1999) 303-315. | MR | Zbl
and ,[13] The finite element method for elliptic problems, in vol. 4 of Stud. Math. Appl. North-Holland Publishing Co., Amsterdam (1978). | MR | Zbl
,[14] Mixing, Properties and examples, in vol. 85 of Lect. Notes Stat. Springer-Verlag, New York (1994). | MR | Zbl
,[15] Heterogeneous multiscale methods: a review. Commun. Comput. Phys. 2 (2007) 367-450. | MR | Zbl
, , and ,[16] Analysis of the heterogeneous multiscale method for elliptic homogenization problems. J. Amer. Math. Soc. 18 (2005) 121-156 (electronic). | MR | Zbl
and ,[17] Mean field and Gaussian approximation for partial differential equations with random coefficients. SIAM J. Appl. Math. 42 (1982) 1069-1077. | MR | Zbl
, and ,[18] Variational crimes and L∞ error estimates in the finite element method. Math. Comp. 35 (1980) 1131-1157. | MR | Zbl
,[19] Convergence of a multiscale finite element method for elliptic problems with rapidly oscillating coefficients. Math. Comput. 68 (1999) 913-943. | MR | Zbl
, and ,[20] Homogenization of differential operators and integral functionals. Springer-Verlag, New York (1994) | MR | Zbl
, and ,[21] Multiparameter processes. Springer Monographs in Mathematics. Springer-Verlag, New York (2002).An introduction to random fields. | MR | Zbl
,[22] The averaging of random operators. Mat. Sb. (N.S.) 109 (1979) 188-202, 327. | MR | Zbl
,[23] Analysis, in vol. 14 of Graduate Studies in Mathematics. American Mathematical Society, Providence, RI, 2nd edn. (2001). | MR | Zbl
and ,[24] Fine scale uncertainty in parameter estimation for elliptic equations. Inverse Problems 25 (2009) 115021-115022. | MR | Zbl
and ,[25] Localized bases for finite-dimensional homogenization approximations with nonseparated scales and high contrast. Multiscale Model. Simul. 9 (2011) 1373-1398. | MR | Zbl
and ,[26] Boundary value problems with rapidly oscillating random coefficients, in Random fields, vol. I, II (Esztergom, 1979). In vol. 27 of Colloq. Math. Soc. János Bolyai. North-Holland, Amsterdam (1981) 835-873. | MR | Zbl
and ,[27] Some optimal error estimates for piecewise linear finite element approximations. Math. Comput. 38 (1982) 437-445. | MR | Zbl
and ,[28] Methods of modern mathematical physics. II. Fourier analysis, self-adjointness. Academic Press, Harcourt Brace Jovanovich Publishers, New York (1975). | MR | Zbl
and ,[29] Optimal L∞ estimates for the finite element method on irregular meshes. Math. Comput. 30 (1976) 681-697. | MR | Zbl
,[30] Convergence of integrated processes of arbitrary Hermite rank. Z. Wahrsch. Verw. Gebiete 50 (1979) 53-83. | MR | Zbl
,[31] Maximum norm error estimates in the finite element method with isoparametric quadratic elements and numerical integration. RAIRO Anal. Numér. 12 (1978) 173-202. | EuDML | Numdam | MR | Zbl
,Cité par Sources :