# Low-rank approximation of continuous functions in Sobolev spaces with dominating mixed smoothness

Griebel, Michael and Harbrecht, Helmut and Schneider, Reinhold. (2022) Low-rank approximation of continuous functions in Sobolev spaces with dominating mixed smoothness. Preprints Fachbereich Mathematik, 2022 (06).

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Official URL: https://edoc.unibas.ch/88033/

Let $\Omega_i\subset\mathbb{R}^{n_i}$, $i=1,\ldots,m$, be given domains. In this article, we study the low-rank approximation with respect to $L^2(\Omega_1\times\dots\times\Omega_m)$ of functions from Sobolev spaces with dominating mixed smoothness. To this end, we first estimate the rank of a bivariate approximation, i.e., the rank of the continuous singular value decomposition. In comparison to the case of functions from Sobolev spaces with isotropic smoothness, compare \cite{GH14,GH19}, we obtain improved results due to the additional mixed smoothness. This convergence result is then used to study the tensor train decomposition as a method to construct multivariate low-rank approximations of functions from Sobolev spaces with dominating mixed smoothness. We show that this approach is able to beat the curse of dimension.