Optimal Recovery and Volume Estimates
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Date
2023
Authors
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Journal ISSN
Volume Title
Publisher
Academic Press inc Elsevier Science
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
We study volumes of sections of convex origin-symmetric bodies in Rn induced by orthonormal systems on probability spaces. The approach is based on volume estimates of John-Lowner ellipsoids and expectations of norms induced by the respective systems. The estimates obtained allow us to establish lower bounds for the radii of sections which gives lower bounds for Gelfand widths (or linear cowidths). As an application we offer a new method of evaluation of Gelfand and Kolmogorov widths of multiplier operators. In particular, we establish sharp orders of widths of standard Sobolev classes Wp & gamma;, & gamma; > 0 in Lq on two-point homogeneous spaces in the difficult case, i.e. if 1 < q < p < oo.& COPY; 2023 Elsevier Inc. All rights reserved.
Description
Keywords
Volume, Convex Body, Recovery, Fourier series in special orthogonal functions (Legendre polynomials, Walsh functions, etc.), volume, recovery, Approximation by arbitrary nonlinear expressions; widths and entropy, convex body
Fields of Science
Citation
Kushpel, A. (2023). "Optimal recovery and volume estimates", Journal of Complexity, Vol.79.
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Scopus Q
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OpenCitations Citation Count
2
Source
Journal of Complexity
Volume
79
Issue
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End Page
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Scopus : 1
SCOPUS™ Citations
1
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Web of Science™ Citations
1
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10
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