Locally conformally Hessian and statistical manifolds
Pavel Osipov

TL;DR
This paper studies locally conformally Hessian (l.c.H) statistical manifolds, especially radiant ones of rank 1, proving density results and a structure theorem for compact cases involving fibered manifolds with statistical structures.
Contribution
It introduces the concept of radiant l.c.H. manifolds of rank 1, proves their density among all radiant l.c.H. metrics, and provides a detailed structure theorem for compact cases.
Findings
Radiant l.c.H. metrics of rank 1 are dense among all radiant l.c.H. metrics.
Compact radiant l.c.H. manifolds of rank 1 are fibered over a circle with statistical manifold fibers.
The structure of such manifolds is determined by the statistical structure on fibers and monodromy automorphisms.
Abstract
A statistical manifold is a manifold endowed with a torsion-free connection and a Riemannian metric such that the tensor is totally symmetric. If is flat then is a Hessian manifold. A locally conformally Hessian (l.c.H) manifold is a quotient of a Hessian manifold such that the monodromy group acts on by Hessian homotheties, i.e. this action preserves and multiplies by a group character. The l.c.H. rank is the rank of the image of this character considered as a function from the monodromy group to real numbers. A l.c.H. manifold is called radiant if the Lee vector field is Killing and satisfies . We prove that the set of radiant l.c.H. metrics of l.c.H. rank 1 is dense in the set of all radiant l.c.H. metrics. We prove a structure theorem for compact radiant…
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
TopicsTopological and Geometric Data Analysis · Geometric Analysis and Curvature Flows · Geometry and complex manifolds
