Hoffmann-J{\o}rgensen Inequalities for Random Walks on the Cone of Positive Definite Matrices
Armine Bagyan, Donald Richards

TL;DR
This paper extends Hoffmann-J{\
Contribution
It develops Hoffmann-J{\
Findings
Provides inequalities for random walks on positive definite matrices
Derives explicit bounds for Wishart distribution cases
Utilizes orthogonally invariant distributions and Riemannian metrics
Abstract
We consider random walks on the cone of positive definite matrices, where the underlying random matrices have orthogonally invariant distributions on the cone and the Riemannian metric is the measure of distance on the cone. By applying results of Khare and Rajaratnam (Ann. Probab., 45 (2017), 4101--4111), we obtain inequalities of Hoffmann-J{\o}rgensen type for such random walks on the cone. In the case of the Wishart distribution , with index parameter and matrix parameter , the identity matrix, we derive explicit and computable bounds for each term appearing in the Hoffmann-J{\o}rgensen inequalities.
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 · Point processes and geometric inequalities · Markov Chains and Monte Carlo Methods
