Skip to main content
Log in

Variance reduction in stochastic homogenization: proof of concept, using antithetic variables

  • Sesiones Plenarias
  • Published:
SeMA Journal Aims and scope Submit manuscript

Abstract

We show that we can reduce the variance in a simple problem of stochastic homogenization using the classical technique of antithetic variables. The setting, and the presentation, are deliberately kept elementary. We point out the main issues, show some illustrative results, and demonstrate, both theoretically and numerically, the efficiency of the approach on simple cases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. A. Anantharaman and C. Le Bris, Homogenization of a weakly randomly perturbed periodic material, C.R. Acad. Sci. Série I, 2009, submitted.

    Google Scholar 

  2. A. Bensoussan, J.-L. Lions, and G. Papanicolaou, Asymptotic analysis for periodic structures, Studies in Mathematics and its Applications, 5. North-Holland Publishing Co., Amsterdam-New York, 1978.

    Google Scholar 

  3. X. Blanc, R. Costaouec, C. Le Bris, and F. Legoll, Variance reduction in stochastic homogenization using antithetic variables, in preparation.

  4. X. Blanc, R. Costaouec, C. Le Bris, and F. Legoll, in preparation.

  5. X. Blanc and C. Le Bris, Improving on computation of homogenized coefficients in the periodic and quasi-periodic settings, Netw. Heterog. Media, 5(1): 1–29, 2010.

    Article  MathSciNet  MATH  Google Scholar 

  6. X. Blanc, C. Le Bris, and P.-L. Lions, Une variante de la théorie de l’homogénéisation stochastique des opérateurs elliptiques [A variant of stochastic homogenization theory for elliptic operators], C. R. Acad. Sci. Série I, 343(11–12): 717–724, 2006.

    Article  MATH  Google Scholar 

  7. X. Blanc, C. Le Bris, and P.-L. Lions, Stochastic homogenization and random lattices, J. Math. Pures Appl., 88(1): 34–63, 2007.

    MathSciNet  MATH  Google Scholar 

  8. A. Bourgeat and A. Piatnitski, Approximation of effective coefficients in stochastic homogenization, Ann I. H. Poincaré — PR, 40(2): 153–165, 2004.

    MathSciNet  MATH  Google Scholar 

  9. D. Cioranescu and P. Donato, An introduction to homogenization, Oxford Lecture Series in Mathematics and its Applications, 17. Oxford University Press, New York, 1999.

    Google Scholar 

  10. R. Costaouec, C. Le Bris, and F. Legoll, Approximation numérique d’une classe de problèmes en homogénéisation stochastique [Numerical approximation of a class of problems in stochastic homogenization], C. R. Acad. Sci. Série I, 348(l–2): 99–103, 2010.

    Article  MATH  Google Scholar 

  11. R. Costaouec, Université Paris Est, Ph.D thesis, in preparation.

  12. A. Gloria, Reduction of the resonance error. Part 1: Approximation of homogenized coefficients, preprint available at http://hal.archives-ouvertes.fr/inria-00457159/en/.

  13. A. Gloria and F. Otto, An optimal error estimate in stochastic homogenization of discrete elliptic equations, preprint available at http://hal.inria.fr/hal-00383953.

  14. FreeFEM, http://www.freefem.org

  15. V.V. Jikov, S.M. Kozlov, and O.A. Oleinik, Homogenization of differential operators and integral functionals, Springer-Verlag. 1994.

  16. U. Krengel, Ergodic theorems, de Gruyter Studies in Mathematics, vol. 6, de Gruyter, 1985.

  17. C. Le Bris, Some numerical approaches for “weakly” random homogenization, Proceedings of ENUMATH 2009, Lect. Notes Comput. Sci. Eng., Springer, in press.

  18. A.N. Shiryaev, Probability, Graduate Texts in Mathematics, vol. 95, Springer, 1984.

    Google Scholar 

  19. V.V. Yurinskii, Averaging of symmetric diffusion in random medium. Sibirskii Mat. Zh., 27(4): 167–180, 1986.

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ronan Costaouec.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Costaouec, R., Le Bris, C. & Legoll, F. Variance reduction in stochastic homogenization: proof of concept, using antithetic variables. SeMA 50, 9–26 (2010). https://doi.org/10.1007/BF03322539

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03322539

Keywords

Navigation