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Subgaussian and lacunary uniformly bounded orthonormal systems

Geometric functional analysis and applications November 13, 2017 - November 17, 2017

November 14, 2017 (11:00 AM PST - 12:00 PM PST)
Speaker(s): Gilles Pisier (Texas A & M University)
Location: MSRI: Simons Auditorium
Primary Mathematics Subject Classification No Primary AMS MSC
Secondary Mathematics Subject Classification No Secondary AMS MSC
Video

Abstract

Following recent work by Bourgain and Lewko, we will study lacunarity for uniformly bounded orthonormal systems, in analogy with systems of characters on $\T$ or any other compact Abelian group. A system of random variables $(f_n)$  is  called $\sigma$-subgaussian (or a ``$\psi_2$-system") if   for any $x$ in the unit ball of $\ell_2$ we have an estimate $$\E(\exp{( |\sum x_n f_n/\sigma|^2 ) }\le e  .$$ The system  is called randomly Sidon if  there is a constant $C$ such that $$\sum |x_n|\le C \E_{\pm 1}\|\sum \pm x_n f_n\|_\infty $$  for all finitely supported scalar valued $n\mapsto x_n$. It will be called Sidon if there is   $C$ such that $\sum |x_n|\le C  \|\sum   x_n f_n\|_\infty $. Let $\N=\Lambda_1\cup \Lambda_2$ be a partition of the integers. We will describe an example based on martingale theory where $\{f_n\mid n\in \Lambda_1\}$ and  $\{f_n\mid n\in \Lambda_2\}$ are both Sidon but their union $(f_n)$ (which is subgaussian) fails to be Sidon  in an extreme sort of way. Then we will explain how Talagrand's majorizing measure Theorem for Gaussian processes implies that the latter union is such that the system $\{ f_n(t_1) f_n(t_2)\}$ is Sidon on the square of the underlying probability space. In fact the same conclusion holds whenever $(f_n)$ is subgaussian. The notion of sequence ``dominated by Gaussians" plays a key role. Analogous results for random matrices will be described.

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Video/Audio Files

7-Pisier

H.264 Video 7-Pisier.mp4 119 MB video/mp4 rtsp://videos.msri.org/data/000/029/991/original/7-Pisier.mp4 Download
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