Matsumoto-Yor and Dufresne type theorems for a random walk on positive definite matrices
Jonas Arista, Elia Bisi, Neil O'Connell

TL;DR
This paper extends classical stochastic theorems to positive definite matrices, establishing new identities and recursions for matrix-valued random walks with Beta type II distributed steps.
Contribution
It introduces matrix analogues of the Matsumoto-Yor and Dufresne theorems for multiplicative random walks on positive definite matrices.
Findings
Established matrix versions of the Matsumoto-Yor and Dufresne theorems.
Derived explicit solutions for matrix stochastic recursions.
Connected matrix identities to Beta type II distributions.
Abstract
We establish analogues of the geometric Pitman theorem of Matsumoto and Yor and of the classical Dufresne identity, for a multiplicative random walk on positive definite matrices with Beta type II distributed increments. The Dufresne type identity provides another example of a stochastic matrix recursion, as considered by Chamayou and Letac (J. Theoret. Probab. 12, 1999), that admits an explicit solution.
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 Topics in Algebra · Matrix Theory and Algorithms
