Second Order Freeness and Fluctuations of Random Matrices, III. Higher order freeness and free cumulants
Benoit Collins (Universite Claude Bernard, Lyon 1), James A. Mingo, (Queen's University), Piotr Sniady (Uniwersytet Wroclawski), Roland Speicher, (Queen's University)

TL;DR
This paper extends free probability theory to higher orders by introducing higher order freeness and free cumulants, providing formulas and properties that describe correlations in random matrices beyond expectations.
Contribution
It develops a comprehensive theory of higher order freeness and free cumulants, generalizing previous results to all correlation functions in random matrices.
Findings
Two independent ensembles are free of any order if one is unitarily invariant.
R-transform formulas for second order freeness are established.
The theory relies on properties of partitioned permutations.
Abstract
We extend the relation between random matrices and free probability theory from the level of expectations to the level of all correlation functions (which are classical cumulants of traces of products of the matrices). We introduce the notion of "higher order freeness" and develop a theory of corresponding free cumulants. We show that two independent random matrix ensembles are free of arbitrary order if one of them is unitarily invariant. We prove R-transform formulas for second order freeness. Much of the presented theory relies on a detailed study of the properties of "partitioned permutations".
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Advanced Algebra and Geometry
