Wavelet compression of anisotropic integrodifferential operators on sparse tensor product spaces
Wavelet compression of anisotropic integrodifferential operators on sparse tensor product spaces
复制标题
稀疏张量积空间上各向异性积分微分算子的小波压缩
DOI:
10.1051/m2an/2009039
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发表时间:
2010
期刊:
影响因子:
--
通讯作者:
N. Reich
中科院分区:
文献类型:
--
作者:
N. Reich
For a class of anisotropic integrodifferential operators 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 Bu = f on (0, 1) n with possibly large n. Under certain conditions on B, the scheme is of essentially optimal and dimension independent complexity 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 B are not satisfied, the complexity can be bounded by O(h −(1+e) ), where e � 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(·, ·) that can be singular on all secondary diagonals. Practical examples of such operators from Mathematical Finance are given and some numerical results are presented.
DOI:
10.1090/s0025-5718-09-02248-0
发表时间:
2009
期刊:
Math. Comput.
影响因子:
--
作者:
M. Griebel;S. Knapek
通讯作者:
S. Knapek