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While compactness is an essential assumption for many results in dynamical systems theory, for many applications the state space is only locally compact. Here we provide a general theory for compactifying such systems, i.e. embedding them…

动力系统 · 数学 2010-04-05 Ethan Akin , Joseph Auslander

In this paper I survey some recent results on finite determination, convergence, and approximation of formal mappings between real submanifolds in complex spaces. A number of conjectures are also given.

复变函数 · 数学 2007-05-23 Linda Preiss Rothschild

We introduce principal curves in Wasserstein space, and in general compact metric spaces. Our motivation for the Wasserstein case comes from optimal-transport-based trajectory inference, where a developing population of cells traces out a…

We provide sufficient conditions for quantitative convergence of the iterates of proximal splitting algorithms for minimizing a sum of functions on a metric space. The theory does not assume that the functions have common minima, nor does…

最优化与控制 · 数学 2026-05-06 D. Russell Luke , Mahshid Mirhashemi

The aim of this paper is to investigate the quality of approximation of almost time and band limited functions by its expansion in the Hermite and scaled Hermite basis. As a corollary, this allows us to obtain the rate of convergence of the…

经典分析与常微分方程 · 数学 2014-09-04 Philippe Jaming , Abderrazek Karoui , Ron Kerman , Susanna Spektor

A graph embedding is a representation of graph vertices in a low-dimensional space, which approximately preserves properties such as distances between nodes. Vertex sequence-based embedding procedures use features extracted from linear…

机器学习 · 计算机科学 2020-01-22 Benedek Rozemberczki , Rik Sarkar

There are two main aims of the paper. The first one is to extend the criterion for the precompactness of sets in Banach function spaces to the setting of quasi-Banach function spaces. The second one is to extend the criterion for the…

泛函分析 · 数学 2017-01-11 António Caetano , Amiran Gogatishvili , Bohumír Opic

We analyze the convergence rate of the monotone accelerated proximal gradient method, which can be used to solve structured convex composite optimization problems. A linear convergence rate is established when the smooth part of the…

最优化与控制 · 数学 2026-03-16 Zepeng Wang , Juan Peypouquet

New results on uniform convergence in probability for expansions of Gaussian random processes using compactly supported wavelets are given. The main result is valid for general classes of nonstationary processes. An application of the…

概率论 · 数学 2013-08-08 Yuriy Kozachenko , Andriy Olenko , Olga Polosmak

The computational complexity of some depths that satisfy the projection property, such as the halfspace depth or the projection depth, is known to be high, especially for data of higher dimensionality. In such scenarios, the exact depth is…

统计理论 · 数学 2021-05-28 Stanislav Nagy , Rainer Dyckerhoff , Pavlo Mozharovskyi

We study open equivariant projective embeddings of homogeneous spaces such that the complement of the open orbit does not contain divisors. Criterions of existence of such an embedding are considered and finiteness of isomorphism classes of…

代数几何 · 数学 2015-05-13 Ivan V. Arzhantsev

We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as LLE (Roweis and Saul, 2000) and Isomap (Tenenbaum et al,…

机器学习 · 统计学 2008-06-18 Y. Goldberg , Y. Ritov

We provide a complete characterization of compactness of Sobolev embeddings of radially symmetric functions on the entire space $\mathbb{R}^n$ in the general framework of rearrangement-invariant function spaces. We avoid any unnecessary…

泛函分析 · 数学 2026-03-05 Zdeněk Mihula

We derive extrinsic curvature estimates for compact disks embedded in $\mathbb{R}^3$ with nonzero constant mean curvature.

微分几何 · 数学 2019-12-19 William H. Meeks , Giuseppe Tinaglia

A standard way of approximating or discretizing a metric space is by taking its Rips complexes. These approximations for all parameters are often bound together into a filtration, to which we apply the fundamental group or the first…

几何拓扑 · 数学 2020-03-10 Žiga Virk

We introduce a novel embedding method diverging from conventional approaches by operating within function spaces of finite dimension rather than finite vector space, thus departing significantly from standard knowledge graph embedding…

机器学习 · 统计学 2024-09-25 Louis Mozart Kamdem Teyou , Caglar Demir , Axel-Cyrille Ngonga Ngomo

We investigate the relationship between the compactness of embeddings of Sobolev spaces built upon rearrangement-invariant spaces into rearrangement-invariant spaces endowed with $d$-Ahlfors measures under certain restriction on the speed…

泛函分析 · 数学 2022-05-16 Jan Lang , Zdeněk Mihula , Luboš Pick

This paper introduces some inverse sequences of different polyhedra all based on finite approximations of a compact metric space so they can be used to capture the shape type of the original space. It is shown that they are HPol-expansions,…

几何拓扑 · 数学 2021-10-25 Diego Mondéjar

We present a convergence result for the finite volume method applied to a particular phase field problem suitable for simulation of pure substance solidification. The model consists of the heat equation and the phase field equation with a…

数值分析 · 数学 2020-10-14 Aleš Wodecki , Pavel Strachota , Michal Beneš

We consider linear partial differential equations on resistance spaces that are uniformly elliptic and parabolic in the sense of quadratic forms and involve abstract gradient and divergence terms. Our main interest is to provide graph and…

泛函分析 · 数学 2020-09-15 Michael Hinz , Melissa Meinert