Table of Contents
Fetching ...

A Brunnian Theorem for Finite Families of Random Variables

Stéphane Dugowson

Abstract

In 2014, during a study on the connectivity structures of quantum entanglement, I specifically introduced the notion of ''the connectivity structure of a family of random variables'' -- a structure that expresses the dependency relations between the variables in question -- and I stated the following proposition, which can be described as Brunnian in reference to Hermann Brunn's work on links (1892) : "Every finite connectivity structure is that of a family of random variables". At the time, however, I neglected to write down the proof of this assertion, merely providing an intuitive idea of it. The purpose of this article is to present such a proof.

A Brunnian Theorem for Finite Families of Random Variables

Abstract

In 2014, during a study on the connectivity structures of quantum entanglement, I specifically introduced the notion of ''the connectivity structure of a family of random variables'' -- a structure that expresses the dependency relations between the variables in question -- and I stated the following proposition, which can be described as Brunnian in reference to Hermann Brunn's work on links (1892) : "Every finite connectivity structure is that of a family of random variables". At the time, however, I neglected to write down the proof of this assertion, merely providing an intuitive idea of it. The purpose of this article is to present such a proof.

Paper Structure

This paper contains 31 sections, 13 theorems, 35 equations.

Key Result

Proposition 2.1

Soient $L$ et $J$ deux parties de $I$ telles que $L\subset J$, et soit $\sigma\in\mathcal{D}(J)$. Si $L\dashv \sigma$ alors les traces sur $L$ de $\sigma_{(1)}$ et de $\sigma_{(2)}$ déterminent une dissociation $\sigma_{\vert L}$ de $L$, à savoir $\sigma_{\vert L}=(L=(\sigma_{(1)}\cap L)\sqcup (\sig

Theorems & Definitions (13)

  • Proposition 2.1
  • Proposition 2.3
  • Proposition 2.4
  • Proposition 3.1
  • Proposition 3.2
  • Proposition 4.1
  • Proposition 4.2
  • Proposition 4.3
  • Proposition 4.4: Indépendance des variables associées aux composantes connexes
  • Proposition 4.6
  • ...and 3 more