The paper explores geometry of probability measures and barycenter maps.
arXiv research
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Paper discusses the Fisher metric and differentiability in statistical models.
Study Finsler metric measure manifolds' concentration properties.
The paper reconstructs Lorentzian spacetimes from causal sets.
Unified study of Riemannian and sub-Riemannian geometries with synthetic Ricci curvature bounds.
New metric for probability measures connects physics and geometry.
Study group actions in metric spaces, proving convergence of lens spaces.
This study describes the Fisher-Rao metric on Gaussian measures in infinite-dimensional spaces.
Extends finite entropy measures in Kähler geometry.
This paper introduces Hausdorff measure and its applications in fractal geometry.
Corrects errors in previous studies on metric measure spaces.
Introduces bounded scale measure and generalizes property A.
We consider Hilbert and Funk geometries on a strongly convex domain in the Euclidean space. We show that, with respect to the Lebesgue measure on the domain, Hilbert (resp. Funk) metric has the bounded (resp. constant negative) weighted Ricci curvature. As one of corollaries, these metric measure spaces satisfy the cur…
The paper connects Bergman geometry with information geometry.
The radar experiment connects the geometry of spacetime with an observers measurement of spatial length. We investigate the radar experiment on Finsler spacetimes which leads to a general definition of radar orthogonality and radar length. The directions radar orthogonal to an observer form the spatial equal time surfa…
We construct the differential geometry of smooth manifolds equipped with an algebraic curvature map acting as an area measure. Area metric geometry provides a spacetime structure suitable for the discussion of gauge theories and strings, and is considerably more general than Lorentzian geometry. Our construction of geo…
New definition of metric current yields Finsler geometry volume densities.
A new geometry for comparing signals, overcoming traditional limitations.
We introduce the tractor formalism from conformal geometry to the study of smooth metric measure spaces. In particular, this gives rise to a correspondence between quasi-Einstein metrics and parallel sections of certain tractor bundles. We use this formulation to give a sharp upper bound on the dimension of the vector …
The paper studies the geometry of probability measures on the unit circle.
The paper extends geometric results from negatively-curved spaces to strictly convex Hilbert geometry.
A solution of Hilberts fourth problem lead to integral equation of the type generalized cosine transform. The present paper considers the solution that integral equation by integral geometry methods and propose an inversion formula for reconstruction of Crofton measures from projective smooth Finsler metrics in R3.
We introduce an universum of the Polish (=complete separable metric) space - the convex cone of distance matrices and study its geometry. It happened that the generic Polish spaces in this sense of this universum is so called Urysohn spaces defined by P.S.Urysohn in 20-th, and generic metric triple (= metric space with…
Study collapsing Calabi-Yau metrics and flows on fiber spaces.
The tangent space is constructed in sub-Finsler geometry, leading to the failure of the CD condition in 3D-contact manifolds.
New findings on geometric flows and equidistribution in Hilbert geometry.
Given a family of probability measures in P(X), the space of probability measures on a Hilbert space X, our goal in this paper is to highlight one ore more curves in P(X) that summarize efficiently that family. We propose to study this problem under the optimal transport (Wasserstein) geometry, using curves that are re…
We study the relationship between geometry and capacity measures for deep neural networks from an invariance viewpoint. We introduce a new notion of capacity --- the Fisher-Rao norm --- that possesses desirable invariance properties and is motivated by Information Geometry. We discover an analytical characterization of…
Synthetic Ricci flows defined for metric measure spaces.
We consider the anisotropic Calderon problem of recovering a conductivity matrix or a Riemannian metric from electrical boundary measurements in three and higher dimensions. In the earlier work \cite{DKSaU}, it was shown that a metric in a fixed conformal class is uniquely determined by boundary measurements under two …
Defines a geometric dimension for Lorentzian spaces, distinguishing spacelike and null subspaces.
A fundamental object in a hyperbolic 3-manifold M is its convex core C(M), defined as the smallest closed non-empty convex subset of M. We investigate the way the geometry of the boundary S of C(M) varies as we vary the hyperbolic metric of M. Thurston observed that the intrinsic metric of S is hyperbolic, and that its…
Smooth metric measure spaces have been studied from the two different perspectives of Bakry-Émery and Chang-Gursky-Yang, both of which are closely related to work of Perelman on the Ricci flow. These perspectives include a generalization of the Ricci curvature and the associated quasi-Einstein metrics, which include Ei…
The paper proves geometric comparisons on metric measure spaces with integral Bakry-Émery Ricci tensor bounds.
The paper establishes lower bounds on injectivity radius and constructs metrics with bounded geometry.
Study bounds on curvature for special Finsler metrics.
Lecture notes on using non-Archimedean geometry for complex variety degenerations.
We extend the notion of canonical measures to all (possibly non-compact) metric graphs. This will allow us to introduce a notion of "hyperbolic measures" on universal covers of metric graphs. Kazhdan's theorem for Riemann surfaces describes the limiting behavior of canonical (Arakelov) measures on finite covers in rela…
Study classifies Einstein spaces and warped products in weighted geometry.
We investigate the geometrical structure of probabilistic generative dimensionality reduction models using the tools of Riemannian geometry. We explicitly define a distribution over the natural metric given by the models. We provide the necessary algorithms to compute expected metric tensors where the distribution over…
Global gradient estimates for Fisher-KPP equation on Finsler metric measure spaces.
This paper is a survey of some of the developments in coarse extrinsic geometry since its inception in the work of Gromov. Distortion, as measured by comparing the diameter of balls relative to different metrics, can be regarded as one of the simplist extrinsic notions. Results and examples concerning distorted subgrou…
Reconstructs Riemannian geometry from diffusion properties.
One of the most beautiful notions of metric geometry is the Gromov-Hausdorff distance which measures the difference between two metric spaces. To define the distance, let us isometrically embed these spaces into various metric spaces and measure the Hausdorff distance between their images. The best matching corresponds…
Survey on warped products and their curvature properties.
The space of Gaussian measures on a Euclidean space is geodesically convex in the -Wasserstein space. This space is a finite dimensional manifold since Gaussian measures are parameterized by means and covariance matrices. By restricting to the space of Gaussian measures inside the -Wasserstein space, we manag…
Surveying 33 mapping questions posed by Heinonen and Semmes.
Two different spacetimes can mimic each other's boundary measurements.