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Fully-discrete finite element approximationsfora fourth-order linear stochastic parabolic equationwith additive space-time white noise

Published online by Cambridge University Press:  27 January 2010

Georgios T. Kossioris
Affiliation:
Department of Mathematics, University of Crete, 714 09 Heraklion, Crete, Greece and Institute of Applied and Computational Mathematics, FO.R.T.H., 711 10 Heraklion, Crete, Greece. [email protected]; [email protected]
Georgios E. Zouraris
Affiliation:
Department of Mathematics, University of Crete, 714 09 Heraklion, Crete, Greece and Institute of Applied and Computational Mathematics, FO.R.T.H., 711 10 Heraklion, Crete, Greece. [email protected]; [email protected]
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Abstract

We consider an initial and Dirichlet boundary value problem fora fourth-order linear stochastic parabolic equation, in one spacedimension, forced by an additive space-time white noise.Discretizing the space-time white noise a modelling error isintroduced and a regularized fourth-order linear stochasticparabolic problem is obtained. Fully-discrete approximations to the solution of the regularizedproblem are constructed by using, for discretization in space, aGalerkin finite element method based on C0 or C1piecewise polynomials, and, for time-stepping, the Backward Eulermethod.We derive strong a priori estimates for the modelling error and forthe approximation error to the solution of the regularizedproblem.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2010

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References

Allen, E.J., Novosel, S.J. and Zhang, Z., Finite element and difference approximation of some linear stochastic partial differential equations. Stoch. Stoch. Rep. 64 (1998) 117142. CrossRef
Babuška, I., Tempone, R. and Zouraris, G.E., Galerkin finite element approximations of stochastic elliptic partial differential equations. SIAM J. Numer. Anal. 42 (2004) 800825. CrossRef
L. Bin, Numerical method for a parabolic stochastic partial differential equation. Master Thesis 2004-03, Chalmers University of Technology, Göteborg, Sweden (2004).
Bramble, J.H. and Hilbert, S.R., Estimation of linear functionals on Sobolev spaces with application to Fourier transforms and spline interpolation. SIAM J. Numer. Anal. 7 (1970) 112124. CrossRef
S.C. Brenner and L.R. Scott, The Mathematical Theory of Finite Element Methods. Springer-Verlag, New York, USA (1994).
C. Cardon-Weber, Implicit approximation scheme for the Cahn-Hilliard stochastic equation. PMA 613, Laboratoire de Probabilités et Modèles Alétoires, CNRS U.M.R. 7599, Universtités Paris VI et VII, Paris, France (2000).
Cardon-Weber, C., Cahn-Hilliard equation: existence of the solution and of its density. Bernoulli 7 (2001) 777816. CrossRef
P.G. Ciarlet, The finite element methods for elliptic problems. North-Holland, New York (1987).
Cook, H., Browian motion in spinodal decomposition. Acta Metall. 18 (1970) 297306. CrossRef
Da Prato, G. and Debussche, A., Stochastic Cahn-Hilliard equation. Nonlinear Anal. 26 (1996) 241263. CrossRef
N. Dunford and J.T. Schwartz, Linear Operators. Part II. Spectral Theory. Self Adjoint Operators in Hilbert Space. Reprint of the 1963 original, Wiley Classics Library, A Wiley-Interscience Publication, John Wiley & Sons, Inc., New York, USA (1988).
Elder, K.R., Rogers, T.M. and Desai, R.C., Numerical study of the late stages of spinodal decomposition. Phys. Rev. B 37 (1987) 96389649.
G.H. Golub and C.F. Van Loan, Matrix Computations. Second Edition, The John Hopkins University Press, Baltimore, USA (1989).
Grecksch, W. and Kloeden, P.E., Time-discretised Galerkin approximations of parabolic stochastic PDEs. Bull. Austral. Math. Soc. 54 (1996) 7985. CrossRef
Hausenblas, E., Numerical analysis of semilinear stochastic evolution equations in Banach spaces. J. Comput. Appl. Math. 147 (2002) 485516. CrossRef
Hausenblas, E., Approximation for semilinear stochastic evolution equations. Potential Anal. 18 (2003) 141186. CrossRef
G. Kallianpur and J. Xiong, Stochastic Differential Equations in Infinite Dimensional Spaces, Lecture Notes-Monograph Series 26. Institute of Mathematical Statistics, Hayward, USA (1995).
Kielhorn, L. and Muthukumar, M., Spinodal decomposition of symmetric diblock copolymer homopolymer blends at the Lifshitz point. J. Chem. Phys. 110 (1999) 40794089. CrossRef
Kloeden, P.E. and Shot, S., Linear-implicit strong schemes for Itô-Galerkin approximations of stochastic PDEs. J. Appl. Math. Stoch. Anal. 14 (2001) 4753. CrossRef
G.T. Kossioris and G.E. Zouraris, Fully-Discrete Finite Element Approximations for a Fourth-Order Linear Stochastic Parabolic Equation with Additive Space-Time White Noise. TRITA-NA 2008:2, School of Computer Science and Communication, KTH, Stockholm, Sweden (2008).
J.L. Lions and E. Magenes, Non-Homogeneous Boundary Value Problems and Applications, Vol. I. Springer-Verlag, Berlin-Heidelberg, Germany (1972).
Müller-Gronbach, T. and Ritter, K., Lower bounds and non-uniform time discretization for approximation of stochastic heat equations. Found. Comput. Math. 7 (2007) 135181.
Printems, J., On the discretization in time of parabolic stochastic partial differential equations. ESAIM: M2AN 35 (2001) 10551078. CrossRef
V. Thomée, Galerkin Finite Element Methods for Parabolic Problems, Spriger Series in Computational Mathematics 25. Springer-Verlag, Berlin-Heidelberg, Germany (1997).
Y. Yan, Error analysis and smothing properies of discretized deterministic and stochastic parabolic problems. Ph.D. Thesis, Department of Computational Mathematics, Chalmers University of Technology and Göteborg University, Göteborg, Sweden (2003).
Yan, Y., Semidiscrete Galerkin approximation for a linear stochastic parabolic partial differential equation driven by an additive noise. BIT 44 (2004) 829847. CrossRef
Yan, Y., Galerkin finite element methods for stochastic parabolic partial differential equations. SIAM J. Numer. Anal. 43 (2005) 13631384. CrossRef
J.B. Walsh, An introduction to stochastic partial differential equations., Lecture Notes in Mathematics 1180. Springer Verlag, Berlin-Heidelberg, Germany (1986) 265–439.
Walsh, J.B., Finite element methods for parabolic stochastic PDEs. Potential Anal. 23 (2005) 143. CrossRef