Abstract
This article is the second part continuing Part I [16]. We apply the -matrix techniques combined with the Kronecker tensor-product approximation to represent integral operators as well as certain functions F(A) of a discrete elliptic operator A in a hypercube (0,1)d ∈ ℝd in the case of a high spatial dimension d. We focus on the approximation of the operator-valued functions A − σ, σ>0, and sign (A) for a class of finite difference discretisations A ∈ ℝN × N. The asymptotic complexity of our data-sparse representations can be estimated by (n p log q n), p = 1, 2, with q independent of d, where n=N 1/ d is the dimension of the discrete problem in one space direction.
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Hackbusch, W., Khoromskij, B.N. Low-rank Kronecker-product Approximation to Multi-dimensional Nonlocal Operators. Part II. HKT Representation of Certain Operators. Computing 76, 203–225 (2006). https://doi.org/10.1007/s00607-005-0145-z
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DOI: https://doi.org/10.1007/s00607-005-0145-z