Solving Stochastic Eigenvalue Problem of Wick Type

In this paper we study mathematically the eigenvalue
problem for stochastic elliptic partial differential equation of Wick
type. Using the Wick-product and the Wiener-Itô chaos expansion,
the stochastic eigenvalue problem is reformulated as a system of an
eigenvalue problem for a deterministic partial differential equation
and elliptic partial differential equations by using the Fredholm
alternative. To reduce the computational complexity of this system,
we shall use a decomposition method using the Wiener-Itô chaos
expansion. Once the approximation of the solution is performed using
the finite element method for example, the statistics of the numerical
solution can be easily evaluated.





References:
[1] Haim Brezis, Functional Analysis, Sobolev Spaces and Partial differential
equations, Springer, 2010.
[2] Emmanuel Perrey-Debain, I. David Abraham, John D. Love, A continuous
model for mode mixing in graded-index multimode fibers with random
imperfections, Pro. R. Soc. A(2008), 464, 987-1007.
[3] H. Holden, B. Øksendal, J. Ubøe, and T.-S. Zhang, Stochastic Partial
Differential Equations. A Modeling, White Noise Functional Approach,
Probability and its Applications. Birkh¨auser, Boston, 1996.
[4] C. V. Verhoosel, M. A. Guti´errez and S. J. Hulshoff, Iterative solution
of the random eigenvalue problem with application to spectral stochastic
finite element systems, Int. J. Numer. Meth. Engng 2006; 68:401424.
[5] Wuan Luo, Wiener chaos expansion and numerical solutions of stochastic
partial differential equations. VDM Verlay Edition, 2010.
[6] T. Zhang, Characterization of white noise test functions and Hida
distributions, Stochastics 41, pp 71–78, 1980.