Coordinate restrictions of linear operators in $l_2^n$

dc.creatorVershynin, R.
dc.date2000-11-28
dc.date.accessioned2026-07-07T04:38:52Z
dc.date.available2026-07-07T04:38:52Z
dc.descriptionThis paper addresses the problem of improving properties of a linear operator u in $l_2^n$ by restricting it onto coordinate subspaces. We discuss how to reduce the norm of u by a random coordinate restriction, how to approximate u by a random operator with small "coordinate" rank, how to find coordinate subspaces where u is an isomorphism. The first problem in this list provides a probabilistic extension of a suppression theorem of Kashin and Tzafriri, the second one is a new look at a result of Rudelson on the random vectors in the isotropic position, the last one is the recent generalization of the Bourgain-Tzafriri's invertibility principle. The main point is that all the results are independent of n, the situation is instead controlled by the Hilbert-Schmidt norm of u. As an application, we provide an almost optimal solution to the problem of harmonic density in harmonic analysis, and a solution to the reconstruction problem for communication networks which deliver data with random losses.
dc.identifierhttps://arxiv.org/abs/math/0011232
dc.identifierhttp://arxiv.org/abs/math/0011232
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/60450
dc.subjectFunctional Analysis
dc.subjectAnalysis of PDEs
dc.subjectProbability
dc.subject46B09 (60G50, 43A46, 43A46)
dc.titleCoordinate restrictions of linear operators in $l_2^n$
dc.typetext

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