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Rigid characterizations of probability measures through independence, with applications

Thomas A. Courtade

Abstract

Three equivalent characterizations of probability measures through independence criteria are given. These characterizations lead to a family of Brascamp--Lieb-type inequalities for relative entropy, determine equilibrium states and sharp rates of convergence for certain linear Boltzmann-type dynamics, and unify an assortment of $L^2$ inequalities in probability.

Rigid characterizations of probability measures through independence, with applications

Abstract

Three equivalent characterizations of probability measures through independence criteria are given. These characterizations lead to a family of Brascamp--Lieb-type inequalities for relative entropy, determine equilibrium states and sharp rates of convergence for certain linear Boltzmann-type dynamics, and unify an assortment of inequalities in probability.
Paper Structure (12 sections, 13 theorems, 106 equations)

This paper contains 12 sections, 13 theorems, 106 equations.

Key Result

Proposition 1

The set $\chi_{\xi}^{-1}(0)\subset \mathbb{R}^n$ may be uniquely written as the union of mutually orthogonal, distinct linear subspaces $(E_{\alpha})_{\alpha}\subset \mathbf{E}$, which we denote

Theorems & Definitions (41)

  • Definition 1
  • Proposition 1
  • Remark 1
  • Definition 2
  • Definition 3
  • Theorem 1
  • Remark 2
  • Remark 3
  • Theorem 2
  • Proposition 2
  • ...and 31 more