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Optimal Recovery and Volume Estimates

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Date

2023

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Academic Press inc Elsevier Science

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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.

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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

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Citation

Kushpel, A. (2023). "Optimal recovery and volume estimates", Journal of Complexity, Vol.79.

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2

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Journal of Complexity

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79

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Scopus : 1

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1

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1

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10

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