Limit Theorems for Random Walks in the Hyperbolic Space
V Konakov (HSE), S Menozzi (UEVE)

TL;DR
This paper establishes central, local limit theorems and a law of large numbers for random walks in hyperbolic space, using the ball model and Möbius transformations to analyze their asymptotic behavior.
Contribution
It introduces new limit theorems for random walks in hyperbolic space using the ball model and Möbius addition, extending classical probabilistic results to non-Euclidean geometry.
Findings
Proved central limit theorem for hyperbolic random walks
Established local limit theorem in hyperbolic space
Derived a law of large numbers for the walks
Abstract
We prove central and local limit theorems for random walks on the Poincar{\'e} hyperbolic space of dimension n {\v e} 2. To this end we use the ball model and describe the walk therein through the M{\"o}bius addition and multiplication. This also allows to derive a corresponding law of large numbers.
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
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics · Geometric and Algebraic Topology
