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Wavelet compression of anisotropic integrodifferential operators on sparse tensor product spaces

Published online by Cambridge University Press:  09 October 2009

Nils Reich
Nils Reich*
Affiliation:
ETH Zurich, Seminar for Applied Mathematics, 8092 Zurich, Switzerland. reich@math.ethz.ch
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Abstract

For a class of anisotropic integrodifferential operators ${\cal B}$ arising as semigroup generators of Markov processes, we present a sparse tensor product wavelet compression scheme for the Galerkin finite element discretization of the corresponding integrodifferential equations ${\cal B}$ u = f on [0,1]n with possibly large n. Under certain conditions on ${\cal B}$, the scheme is of essentially optimal and dimension independent complexity $\mathcal{O}$(h-1| log h |2(n-1)) without corrupting the convergence or smoothness requirements of the original sparse tensor finite element scheme. If the conditions on ${\cal B}$ are not satisfied, the complexity can be bounded by $\mathcal{O}$(h-(1+ε)), where ε$\ll 1$ tends to zero with increasing number of the wavelets' vanishing moments. Here h denotes the width of the corresponding finite element mesh. The operators under consideration are assumed to be of non-negative (anisotropic) order and admit a non-standard kernel κ$(\cdot,\cdot)$ that can be singular on all secondary diagonals. Practical examples of such operators from Mathematical Finance are given and some numerical results are presented.

Keywords

Wavelet compressionsparse gridsanisotropic integrodifferential operatorsnorm equivalences
Type
Research Article
Information
ESAIM: Mathematical Modelling and Numerical Analysis , Volume 44 , Issue 1 , January 2010 , pp. 33 - 73
Copyright
© EDP Sciences, SMAI, 2009

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