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Variation of empirical Fr\'echet means on a metric space with curvature bounded above is encoded via random fields indexed by unit tangent vectors. A central limit theorem shows these random tangent fields converge to a Gaussian such field…

概率论 · 数学 2025-01-07 Jonathan C. Mattingly , Ezra Miller , Do Tran

We prove a quenched functional central limit theorem (quenched FCLT) for the sums of a random field (r.f.) along a Z d-random walk in different frameworks: probabilistic (when the r.f. is i.i.d. or a moving average of i.i.d. random…

动力系统 · 数学 2021-04-27 Jean-Pierre Conze

A proof of the isometric embedding of a given two-metric in E^3 of class C^1. The method uses the theory of first order partial differential equations. The curvature of the metric plays no role in the proof.

微分几何 · 数学 2017-12-19 Edgar Kann

Sample covariance matrices are widely used in multivariate statistical analysis. The central limit theorems (CLT's) for linear spectral statistics of high-dimensional non-centered sample covariance matrices have received considerable…

统计方法学 · 统计学 2014-04-29 Shurong Zheng , Z. D. Bai , Jiangfeng Yao

We embark on a systematic study of continuous non-invertible symmetries, focusing on 1+1d CFTs. We describe a generalized version of Noether's theorem, where continuous non-invertible symmetries are associated to $\textit{non-local}$…

高能物理 - 理论 · 物理学 2025-08-18 Diego Delmastro , Adar Sharon , Yunqin Zheng

We study the stability of the Positive Mass Theorem using the Intrinsic Flat Distance. In particular we consider the class of complete asymptotically flat rotationally symmetric Riemannian manifolds with nonnegative scalar curvature and no…

微分几何 · 数学 2015-03-19 Dan A. Lee , Christina Sormani

We derive a dimensionally-reduced limit theory for an $n$-dimensional nonlinear elastic body that is slender along $k$ dimensions. The starting point is to view an elastic body as an $n$-dimensional Riemannian manifold together with a not…

微分几何 · 数学 2014-09-09 Raz Kupferman , Jake P. Solomon

Foundation models pre-trained on massive datasets, including large language models (LLMs), vision-language models (VLMs), and large multimodal models, have demonstrated remarkable success in diverse downstream tasks. However, recent studies…

机器学习 · 计算机科学 2025-07-25 Neil He , Hiren Madhu , Ngoc Bui , Menglin Yang , Rex Ying

Two discretizations, linear and nonlinear, of basic notions of the complex analysis are considered. The underlying lattice is an arbitrary quasicrystallic rhombic tiling of a plane. The linear theory is based on the discrete Cauchy-Riemann…

微分几何 · 数学 2007-06-13 Alexander I. Bobenko , Christian Mercat , Yuri B. Suris

We investigate multi-field multicritical scalar theories using CFT constraints on two- and three-point functions combined with the Schwinger-Dyson equation. This is done in general and without assuming any symmetry for the models, which we…

高能物理 - 理论 · 物理学 2019-05-01 Alessandro Codello , Mahmoud Safari , Gian Paolo Vacca , Omar Zanusso

The Johnson-Lindenstrauss (JL) lemma is a cornerstone of dimensionality reduction in Euclidean space, but its applicability to non-Euclidean data has remained limited. This paper extends the JL lemma beyond Euclidean geometry to handle…

数据结构与算法 · 计算机科学 2025-10-28 Chengyuan Deng , Jie Gao , Kevin Lu , Feng Luo , Cheng Xin

We consider inverse problems consisting of the reconstruction of an unknown signal $f$ from noisy measurements $y=Ff+\text{noise}$, where $Ff$ is a function on a Riemannian manifold without boundary $\mathcal M$. We consider the case when…

泛函分析 · 数学 2026-04-24 Giovanni S. Alberti , Ernesto De Vito , Bianca Gariboldi , Giacomo Gigante

For a L\'evy basis $L$ on $\mathbb{R}^d$ and a suitable kernel function $f:\mathbb{R}^d \to \mathbb{R}$, consider the continuous spatial moving average field $X=(X_t)_{t\in \mathbb{R}^d}$ defined by $X_t = \int_{\mathbb{R}^d} f(t-s) \,…

概率论 · 数学 2021-08-02 David Berger

Due to Janet-Cartan's theorem, any analytic Riemannian manifolds can be locally isometrically embedded into a sufficiently high dimensional Euclidean space. However, for an individual Riemannian manifold (M,g), it is in general hard to…

微分几何 · 数学 2017-08-30 Yoshio Agaoka , Takahiro Hashinaga

We study the problem of representing all distances between $n$ points in $\mathbb R^d$, with arbitrarily small distortion, using as few bits as possible. We give asymptotically tight bounds for this problem, for Euclidean metrics, for…

计算几何 · 计算机科学 2021-10-08 Piotr Indyk , Tal Wagner

We address the problem of testing hypotheses about a specific value of the Fr\'echet mean in metric spaces, extending classical mean testing from Euclidean spaces to more general settings. We extend an Euclidean testing procedure…

统计方法学 · 统计学 2025-01-28 Matthieu Bulté , Helle Sørensen

We prove a so-called linking theorem and some of its corollaries, namely a mountain pass theorem and a three critical points theorem for Keller $ C^1$-functional on $ C^1 $- Frechet manifolds. Our approach relies on a deformation result…

微分几何 · 数学 2022-07-20 Kaveh Eftekharinasab

A convenient technique for proving kernel theorems for (LF)-spaces (countable inductive limits of Frechet spaces)is developed. The proposed approach is based on introducing a suitable modification of the functor of the completed inductive…

泛函分析 · 数学 2007-05-23 A. G. Smirnov

An analogue of the convergence part of the Khintchine-Groshev theorem, as well as its multiplicative version, is proved for nondegenerate smooth submanifolds in $\mathbb{R}^n$. The proof combines methods from metric number theory with a new…

数论 · 数学 2007-05-23 V. Bernik , D. Kleinbock , G. A. Margulis

We study the second fundamental form of semi-isometric CR immersions from strictly pseudoconvex CR manifolds into K\"ahler manifolds. As an application, we give a precise condition for the CR umbilicality of real hypersurfaces, extending an…

复变函数 · 数学 2022-10-28 Duong Ngoc Son