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An application of Brascamp-Lieb's inequality

Michel Weber

Abstract

We use Brascamp-Lieb's inequality to obtain new decoupling inequalities for general Gaussian vectors, and for stationary cyclic Gaussian processes. In the second case, we use a version by Bump and Diaconis of the strong Szego limit theorem. This extends results of Klein, Landau and Shucker.

An application of Brascamp-Lieb's inequality

Abstract

We use Brascamp-Lieb's inequality to obtain new decoupling inequalities for general Gaussian vectors, and for stationary cyclic Gaussian processes. In the second case, we use a version by Bump and Diaconis of the strong Szego limit theorem. This extends results of Klein, Landau and Shucker.

Paper Structure

This paper contains 5 sections, 10 theorems, 71 equations.

Key Result

Theorem 1.2

Let $X=\{X_i, 1\le i\le n\}$ be a centered Gaussian vector such that ${\mathbb E \,} X_i^2={\sigma}_i^2>0$ for each $1\le i\le n$, and with positive definite covariance matrix $C$. Let $p$ be such that Then for any complex-valued measurable functions $f_1, \ldots, f_n$ such that $f_i\in L^p({\mathbb R})$, for all $1\le i\le n$, the following inequality holds true,

Theorems & Definitions (15)

  • Definition 1.1
  • Theorem 1.2
  • Corollary 1.3
  • Theorem 1.4
  • Corollary 1.5
  • Proposition 2.1
  • Lemma 2.4
  • proof
  • Lemma 2.5: B, Th. 4, p. 128
  • proof : Proof of Theorem \ref{['dec.ineq']}
  • ...and 5 more