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2007

Banach-Mazur Distances and Projections on Random Subgaussian Polytopes

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Banach-Mazur Distances and Projections on Random Subgaussian Polytopes
We consider polytopes in Rn that are generated by N vectors in Rn whose coordinates are independent subgaussian random variables. (A particular case of such polytopes are symmetric random ±1 polytopes generated by N independent vertices of the unit cube.) We show that for a random pair of such polytopes the Banach-Mazur distance between them is essentially of a maximal order n. This result is an analogue of well-known Gluskin’s result for spherical vectors. We also study the norms of projections on such polytopes and prove an analogue of Gluskin’s and Szarek’s results on basis constants. The proofs are based on a version of “small ball” estimates for linear images of random subgaussian vectors.
Rafal Latala, Piotr Mankiewicz, Krzysztof Oleszkie
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where DCG
Authors Rafal Latala, Piotr Mankiewicz, Krzysztof Oleszkiewicz, Nicole Tomczak-Jaegermann
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