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MiS Preprint
78/2008

Use of Tensor Formats in Elliptic Eigenvalue Problems

Wolfgang Hackbusch, Boris N. Khoromskij, Stefan A. Sauter and Eugene E. Tyrtyshnikov

Abstract

We investigate approximations by finite sums of products of functions with separated variables to eigenfunctions of multivariate elliptic operators, and especially conditions providing an exponential decrease of the error with respect to the number of terms. The results of the consistent use of tensor formats can be regarded as a base for a new class of iterative eigensolvers with almost linear complexity in the univariate problem size. The results of numerical experiments clearly indicate the linear-logarithmic scaling of low-rank tensor method in the univariate problem size. The algorithms work equally well for the computation of both, minimal and maximal eigenvalues of the discrete elliptic operators.

Received:
Nov 5, 2008
Published:
Nov 5, 2008
MSC Codes:
65F30, 65F50, 65N35, 65F10
Keywords:
elliptic operators, spectra, eigenfunctions, separable approximations, tensors

Related publications

inJournal
2012 Repository Open Access
Wolfgang Hackbusch, Boris N. Khoromskij, Stefan A. Sauter and Eugene E. Tyrtyshnikov

Use of tensor formats in elliptic eigenvalue problems

In: Numerical linear algebra with applications, 19 (2012) 1, pp. 133-151