arXiv Analytics

Sign in

arXiv:math/0701058 [math.PR]AbstractReferencesReviewsResources

Dependence on the Dimension for Complexity of Approximation of Random Fields

N. Serdyukova

Published 2007-01-02, updated 2012-08-14Version 3

We consider an \eps-approximation by n-term partial sums of the Karhunen-Lo\`eve expansion to d-parametric random fields of tensor product-type in the average case setting. We investigate the behavior, as d tends to infinity, of the information complexity n(\eps,d) of approximation with error not exceeding a given level \eps. It was recently shown by M.A. Lifshits and E.V. Tulyakova that for this problem one observes the curse of dimensionality (intractability) phenomenon. The aim of this paper is to give the exact asymptotic expression for the information complexity n(\eps,d).

Comments: 18 pages. The published in Theory Probab. Appl. (2010) extended English translation of the original paper "Zavisimost slozhnosti approximacii sluchajnyh polej ot rasmernosti", submitted on 15.01.2007 and published in Theor. Veroyatnost. i Primenen. 54:2, 256-270
Journal: Theory Probab. Appl. (2010) 54:2, 272-284
Categories: math.PR
Subjects: 41A25, 41A63, 60G60
Related articles: Most relevant | Search more
arXiv:1508.00464 [math.PR] (Published 2015-07-30)
Approximation of symmetrizations by Markov processes
arXiv:2003.05329 [math.PR] (Published 2020-03-11)
A new approximation of the Height process of a CSBP
arXiv:1902.01195 [math.PR] (Published 2019-02-04)
Approximation of solutions of the stochastic wave equation by using the Fourier series