paper

Sampling discretization of integral norms

arXiv:2001.09320

Abstract

The paper is devoted to discretization of integral norms of functions from a given finite dimensional subspace. Even though this problem is extremely important in applications, its systematic study has begun recently. In this paper we obtain a conditional theorem for all integral norms , , which is an extension of known results for . To discretize the integral norms successfully, we introduce a new technique, which is a combination of probabilistic technique with results on the entropy numbers in the uniform norm. As an application of the general conditional theorem, we derive a new Marcinkiewicz type discretization for the multivariate trigonometric polynomials with frequencies from the hyperbolic crosses.

16 pages. arXiv admin note: text overlap with arXiv:1703.03743

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Sampling discretization of integral norms · wovepaper