English

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 KK and KK' 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) KK is equivalent to KK'; ii) KK implies KK'. 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}
}
R2 v1 2026-07-01T10:27:17.695Z