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In this paper we introduce two new notions of sectional curvature for Riemannian manifolds with density. Under both notions of curvature we classify the constant curvature manifolds. We also prove generalizations of the theorems of…

Differential Geometry · Mathematics 2015-01-27 William Wylie

Motivated by control-affine systems in optimal control theory, we introduce the notion of a point-affine distribution on a manifold X - i.e., an affine distribution F together with a distinguished vector field contained in F. We compute…

Differential Geometry · Mathematics 2009-10-07 Jeanne N. Clelland , Christopher G. Moseley , George R. Wilkens

We focus on the distribution regression problem: regressing to a real-valued response from a probability distribution. Although there exist a large number of similarity measures between distributions, very little is known about their…

Statistics Theory · Mathematics 2015-01-28 Zoltan Szabo , Arthur Gretton , Barnabas Poczos , Bharath Sriperumbudur

We introduce a novel concept of coarse extrinsic curvature for Riemannian submanifolds, inspired by Ollivier's notion of coarse Ricci curvature. This curvature is derived from the Wasserstein 1-distance between probability measures…

Differential Geometry · Mathematics 2025-04-11 Marc Arnaudon , Xue-Mei Li , Benedikt Petko

We analytically derive the covariant form of the Riemann (curvature) tensor for homogeneous Metric-Affine Cosmologies. That is, we present, in a Cosmological setting, the most general covariant form of the full Riemann tensor including also…

General Relativity and Quantum Cosmology · Physics 2021-10-27 Damianos Iosifidis

We investigate ruled surfaces in 3d Riemannian manifolds, i.e., surfaces foliated by geodesics. In 3d space forms, we find the striction curve, distribution parameter, and the first and second fundamental forms, from which we obtain the…

Differential Geometry · Mathematics 2022-09-21 Luiz C. B. da Silva , José D. da Silva

Integral invariants obtained from Principal Component Analysis on a small kernel domain of a submanifold encode important geometric information classically defined in differential-geometric terms. We generalize to hypersurfaces in any…

Differential Geometry · Mathematics 2018-04-16 Javier Álvarez-Vizoso , Michael Kirby , Chris Peterson

A random variable is equi-dispersed if its mean equals its variance. A Poisson distribution is a classical example of this phenomenon. However, a less well-known fact is that the class of normal densities that are equi-dispersed constitutes…

Statistics Theory · Mathematics 2022-09-07 Barry C. Arnold , B. G. Manjunath

We revisit the classic Wigner semi-circle from two different angles. One consists in studying the Stieltjes transform directly on the real axis, which does not converge to a fixed value but follows a Cauchy distribution that depends on the…

Mathematical Physics · Physics 2018-12-26 J. P. Bouchaud , M. Potters

This paper mainly contributes to a classification of statistical Einstein manifolds, namely statistical manifolds at the same time are Einstein manifolds. A statistical manifold is a Riemannian manifold, each of whose points is a…

Mathematical Physics · Physics 2019-08-30 Linyu Peng , Zhenning Zhang

The purpose of this paper is to study transport equations on the unit tangent bundle of closed oriented Riemannian surfaces and to connect these to the transport twistor space of the surface (a complex surface naturally tailored to the…

Differential Geometry · Mathematics 2024-01-29 Jan Bohr , Thibault Lefeuvre , Gabriel P. Paternain

A 4-dimensional Riemannian manifold equipped with a circulant structure, which is an isometry with respect to the metric and its fourth power is the identity, is considered. The almost product manifold associated with the considered…

Differential Geometry · Mathematics 2017-03-24 Dobrinka Gribacheva , Dimitar Razpopov

This paper proposes a unified approach to enable the study of diverse distributions in the real, complex, quaternion and octonion cases, simultaneously. In particular, the central, nonsingular matricvariate and matrix multivariate Pearson…

Statistics Theory · Mathematics 2010-11-24 Jose A. Diaz-Garcia , Ramon Gutierrez-Jaimez

The author discusses in some detail the old definitions of the curvature tensors for rigged metrized distributions on manifolds given by Schouten, Wagner, and Solov'ev. To calculate the Solov'ev sectional and Ricci curvatures for…

Differential Geometry · Mathematics 2017-05-04 Valerii Berestovskii

We develop variation formulas on almost-product (e.g. foliated) pseudo-Riemannian manifolds, and we consider variations of metric preserving orthogonality of the distributions. These formulae are applied to Einstein-Hilbert type actions:…

Differential Geometry · Mathematics 2019-11-22 Vladimir Rovenski , Tomasz Zawadzki

One of the apparent advantages of quantum computers over their classical counterparts is their ability to efficiently contract tensor networks. In this article, we study some implications of this fact in the case of topological tensor…

Quantum Physics · Physics 2016-10-17 Gorjan Alagic , Edgar A. Bering

The usual notion of set-convexity, valid in the classical Euclidean context, metamorphoses into several distinct convexity types in the more general Riemannian setting. By studying this phenomenon in reverse, we characterize complete…

Differential Geometry · Mathematics 2016-11-29 Octavian Mitrea

The equivalence problem of curves with values in a Riemannian manifold, is solved. The domain of validity of Frenet's theorem is shown to be the spaces of constant curvature. For a general Riemannian manifold new invariants must thus be…

Differential Geometry · Mathematics 2012-07-20 M. Castrillon Lopez , V. Fernandez Mateos , J. Munoz Masque

We introduce a generalization of structured manifolds as the most general Riemannian metric g associated to an affinor (tensor field of (1,1)-type) F and initiate a study of their semi-invariant submanifolds. These submanifolds are…

Differential Geometry · Mathematics 2011-09-06 Novac-Claudiu Chiriac , Mircea Crasmareanu

To quantify the dependence between two random vectors of possibly different dimensions, we propose to rely on the properties of the 2-Wasserstein distance. We first propose two coefficients that are based on the Wasserstein distance between…

Statistics Theory · Mathematics 2021-10-19 Gilles Mordant , Johan Segers
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