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Related papers: Omnibus CLTs for Fr\'echet means and nonparametric…

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On the space of isometric embeddings $f_g$ of metrics $g$ on a manifold $M^n$ into the standard $(\mb{S}^{\tn=\tn(n)},\tg)$, we consider the total exterior scalar curvature $\Theta_{f_g}(M)$, and squared $L^2$ norm of the mean curvature…

Differential Geometry · Mathematics 2025-10-01 Santiago R. Simanca

We investigate local and metric geometry of weighted Carnot-Carath\'eodory spaces which are a wide generalization of sub-Riemannian manifolds and arise in nonlinear control theory, subelliptic equations etc. For such spaces the intrinsic…

Metric Geometry · Mathematics 2012-06-29 Svetlana Selivanova

We survey a (nonlinear) Fredholm theory for a new class of ambient spaces called polyfolds, and develop the analytical foundations for some of the applications of the theory. The basic feature of these new spaces, which can be finite and…

Functional Analysis · Mathematics 2010-02-19 Helmut Hofer , Kris Wysocki , Eduard Zehnder

We are interested in measures of central tendency for a population on a network, which is modeled by a metric tree. The location parameters that we study are generalized Fr\'echet means obtained by minimizing the objective function $\alpha…

Statistics Theory · Mathematics 2023-10-30 Gabriel Romon , Victor-Emmanuel Brunel

K-Theory for hermitian symmetric spaces of non-compact type, as developed recently by the authors, allows to put Cartan's classification into a homological perspective. We apply this method to the case of inductive limits of finite…

K-Theory and Homology · Mathematics 2016-09-23 Dennis Bohle , Wend Werner

We will show the central limit theorem for the general one-dimensional lattice where the space of symbols is a compact metric space. We consider the CLT for Lipschitz-Gibbs probabilities and in the proof we use several properties of the…

Dynamical Systems · Mathematics 2024-10-30 Artur O. Lopes , Victor Vargas

We investigate the well-posedness of the fast diffusion equation (FDE) in a wide class of noncompact Riemannian manifolds. Existence and uniqueness of solutions for globally integrable initial data was established in [5]. However, in the…

Analysis of PDEs · Mathematics 2020-03-30 Gabriele Grillo , Matteo Muratori , Fabio Punzo

This is a Research and Instructional Development Project from the U. S. Naval Academy. In this monograph, the basic methods of nonstandard analysis for n-dimensional Euclidean spaces are presented. Specific rules are deveoped and these…

General Mathematics · Mathematics 2007-12-02 Robert A. Herrmann

This paper re-examines the limit theorems of Abadie and Imbens for nearest-neighbor matching estimators of average treatment effects with a fixed number of matches. We establish, for the first time, a non-normalized central limit theorem…

Statistics Theory · Mathematics 2026-05-21 Songliang Chen , Fang Han

We consider temperate distributions on Euclidean spaces with uniformly discrete support and locally finite spectrum. We find conditions on coefficients of distributions under which they are finite sum of derivatives of generalized lattice…

Functional Analysis · Mathematics 2022-12-01 Sergii Favorov

The non-commutative Central Limit Theorem (CLT) introduced by Speicher in 1992 states that given almost any sequence of non-commutative random variables that commute or anti-commute pair-wise, the *-moments of the normalized partial sum…

Probability · Mathematics 2012-05-18 Natasha Blitvić

We study the fluctuations of the eigenvalues of real valued large centrosymmetric random matrices via its linear eigenvalue statistic. This is essentially a central limit theorem (CLT) for sums of dependent random variables. The dependence…

Probability · Mathematics 2025-10-01 Indrajit Jana , Sunita Rani

Classical multidimensional scaling is a widely used method in dimensionality reduction and manifold learning. The method takes in a dissimilarity matrix and outputs a low-dimensional configuration matrix based on a spectral decomposition.…

Methodology · Statistics 2019-05-15 Gongkai Li , Minh Tang , Nichlas Charon , Carey E Priebe

Sample covariance matrix and multivariate $F$-matrix play important roles in multivariate statistical analysis. The central limit theorems {\sl (CLT)} of linear spectral statistics associated with these matrices were established in Bai and…

Statistics Theory · Mathematics 2013-05-03 Shurong Zheng , Zhidong Bai

Density estimation is an important technique for characterizing distributions given observations. Much existing research on density estimation has focused on cases wherein the data lies in a Euclidean space. However, some kinds of data are…

Machine Learning · Statistics 2021-07-12 James A. Brofos , Marcus A. Brubaker , Roy R. Lederman

Despite the popularity of the manifold hypothesis, current manifold-learning methods do not support machine learning directly on the latent $d$-dimensional data manifold, as they primarily aim to perform dimensionality reduction into…

Machine Learning · Computer Science 2025-10-21 Ryan A. Robinett , Sophia A. Madejski , Kyle Ruark , Samantha J. Riesenfeld , Lorenzo Orecchia

The famous theorems of Cartan, related to the axiom of $r$-planes, and Leung-Nomizu about the axiom of $r$-spheres were extended to K\"ahler geometry by several authors. In this paper we replace the strong notions of totally geodesic…

Differential Geometry · Mathematics 2015-11-30 Cristina Levina , Sérgio Mendonça

In this paper, we prove some new thickness theorems with partial derivatives. We give some applications. First, we give a simple criterion that can judge whether two scaled Cantor sets have non-empty intersection. Second, we prove under…

Dynamical Systems · Mathematics 2022-12-02 Kan Jiang

A classic theorem of Euclidean geometry asserts that any noncollinear set of $n$ points in the plane determines at least $n$ distinct lines. Chen and Chv\'atal conjectured that this holds for an arbitrary finite metric space, with a certain…

Combinatorics · Mathematics 2014-12-30 Pierre Aboulker , Xiaomin Chen , Guangda Huzhang , Rohan Kapadia , Cathryn Supko

We consider the determinantal point processes associated with the spectral projectors of a Schr\"odinger operator on $\mathbb{R}$, with a smooth confining potential. In the semiclassical limit, where the number of particles tends to…

Spectral Theory · Mathematics 2023-05-31 Alix Deleporte , Gaultier Lambert