Equidistribution of common perpendiculars in negative curvature
Jouni Parkkonen, Fr\'ed\'eric Paulin

TL;DR
This paper proves that measures supported on common perpendiculars between convex subsets in negatively curved manifolds become uniformly distributed according to the Bowen-Margulis measure as the length grows, with error estimates in certain cases.
Contribution
It establishes equidistribution results for common perpendiculars in negatively curved manifolds, including error terms and weighted versions with potentials.
Findings
Measures on common perpendiculars equidistribute to Bowen-Margulis measure as length increases.
Error terms are provided for locally symmetric finite volume manifolds with exponential mixing.
Weighted equidistribution holds when incorporating bounded H"older potentials and their equilibrium states.
Abstract
Let and be properly immersed closed locally convex subsets of a Riemannian manifold with pinched negative sectional curvature. When the Bowen-Margulis measure on is finite and mixing for the geodesic flow, we prove that the Lebesgue measures along the common perpendiculars of length at most from to , counted with multiplicities and lifted to , equidistribute to the Bowen-Margulis measure as . When is locally symmetric with finite volume and the geodesic flow is exponentially mixing, we give an error term for the asymptotic. When is endowed with a bounded H\"older-continuous potential, and when the associated equilibrium state is finite and mixing for the geodesic flow, we prove the equidistribution of these Lebesgue measures weighted by the amplitudes of the potential to the equilibrium state.
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
TopicsAdvanced Differential Geometry Research · Geometric Analysis and Curvature Flows · Ophthalmology and Eye Disorders
