Wavelet compression of anisotropic integrodifferential operators on sparse tensor product spaces
Reich, Nils
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 44 (2010), p. 33-73 / Harvested from Numdam

For a class of anisotropic integrodifferential operators 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 u = f on [0,1]n with possibly large n. Under certain conditions on , 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 are not satisfied, the complexity can be bounded by 𝒪(h-(1+ε)), where ε 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.

Publié le : 2010-01-01
DOI : https://doi.org/10.1051/m2an/2009039
Classification:  47A20,  65F50,  65N12,  65Y20,  68Q25,  45K05,  65N30
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     author = {Reich, Nils},
     title = {Wavelet compression of anisotropic integrodifferential operators on sparse tensor product spaces},
     journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Mod\'elisation Math\'ematique et Analyse Num\'erique},
     volume = {44},
     year = {2010},
     pages = {33-73},
     doi = {10.1051/m2an/2009039},
     mrnumber = {2647753},
     zbl = {1189.65311},
     language = {en},
     url = {http://dml.mathdoc.fr/item/M2AN_2010__44_1_33_0}
}
Reich, Nils. Wavelet compression of anisotropic integrodifferential operators on sparse tensor product spaces. ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique, Tome 44 (2010) pp. 33-73. doi : 10.1051/m2an/2009039. http://gdmltest.u-ga.fr/item/M2AN_2010__44_1_33_0/

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