Characterizations of Conditional Mutual Independence: Equivalence and Implication
Probability
2026-03-24 v2 Information Theory
math.IT
Abstract
Conditional independence, and more generally conditional mutual independence, are central notions in probability theory. In their general forms, they include functional dependence as a special case. In this paper, we tackle two fundamental problems related to conditional mutual independence. Let and be two conditional mutual independncies (CMIs) defined on a finite set of discrete random variables. We have obtained a necessary and sufficient condition for i) is equivalent to ; ii) implies . These characterizations are in terms of a canonical form introduced for conditional mutual independence.
Keywords
Cite
@article{arxiv.2602.08279,
title = {Characterizations of Conditional Mutual Independence: Equivalence and Implication},
author = {Laigang Guo and Raymond W. Yeung and Tao Guo},
journal= {arXiv preprint arXiv:2602.08279},
year = {2026}
}