N-Widths and ε-Dimensions for High-Dimensional Approximations
N-Widths and ε-Dimensions for High-Dimensional Approximations
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DOI:
10.1007/s10208-013-9149-9
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发表时间:
2013-12-01
影响因子:
3
通讯作者:
Ullrich, Tino
中科院分区:
文献类型:
--
作者:
Dinh Dung;Ullrich, Tino
In this paper, we study linear trigonometric hyperbolic cross approximations, Kolmogorov n-widths d (n) (W,H (gamma) ), and epsilon-dimensions n (epsilon) (W,H (gamma) ) of periodic d-variate function classes W with anisotropic smoothness, where d may be large. We are interested in finding the accurate dependence of d (n) (W,H (gamma) ) and n (epsilon) (W,H (gamma) ) as a function of two variables n, d and epsilon, d, respectively. Recall that n, the dimension of the approximating subspace, is the main parameter in the study of convergence rates with respect to n going to infinity. However, the parameter d may seriously affect this rate when d is large. We construct linear approximations of functions from W by trigonometric polynomials with frequencies from hyperbolic crosses and prove upper bounds for the error measured in isotropic Sobolev spaces H (gamma) . Furthermore, in order to show the optimality of the proposed approximation, we prove upper and lower bounds of the corresponding n-widths d (n) (W,H (gamma) ) and epsilon-dimensions n (epsilon) (W,H (gamma) ). Some of the received results imply that the curse of dimensionality can be broken in some relevant situations.