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We present a general framework to study uniqueness, stability and reconstruction for infinite-dimensional inverse problems when only a finite-dimensional approximation of the measurements is available. For a large class of inverse problems…

偏微分方程分析 · 数学 2021-11-10 Giovanni S. Alberti , Matteo Santacesaria

By definition, transverse intersections are stable under infinitesimal perturbations. Using persistent homology, we extend this notion to a measure. Given a space of perturbations, we assign to each homology class of the intersection its…

计算几何 · 计算机科学 2010-04-22 Herbert Edelsbrunner , Dmitriy Morozov , Amit Patel

We establish a regularity result for the metric on any 4-dimensional extremal K\"ahler manifold, and a weak compactness theorem on the space of such metrics. Specifically, the sectional curvature at a point is bounded when the quantity…

微分几何 · 数学 2011-05-11 Brian Weber

We regard the classic Thue--Morse diffraction measure as an equilibrium measure for a potential function with a logarithmic singularity over the doubling map. Our focus is on unusually fast scaling of the Birkhoff sums (superlinear) and of…

动力系统 · 数学 2023-06-02 Philipp Gohlke , Georgios Lamprinakis , Jörg Schmeling

This paper is partly an exposition, and partly an extension of our work [1] to the multiparameter case. We consider certain classes of parametrized dynamically defined measures. These are push-forwards, under the natural projection, of…

动力系统 · 数学 2024-05-13 Balázs Bárány , Károly Simon , Boris Solomyak , Adam Śpiewak

In this article, we propose a general theory of integration of the Riemann and Lebesgue types with respect to arbitrary measures and functions, connected by a continuous bilinear product, with values in abstract vector spaces endowed with a…

泛函分析 · 数学 2026-02-02 Alexandre Reggiolli Teixeira

We prove a general Embedding Principle of loss landscape of deep neural networks (NNs) that unravels a hierarchical structure of the loss landscape of NNs, i.e., loss landscape of an NN contains all critical points of all the narrower NNs.…

机器学习 · 计算机科学 2021-12-01 Yaoyu Zhang , Yuqing Li , Zhongwang Zhang , Tao Luo , Zhi-Qin John Xu

The coordinates along any fixed direction(s), of points on the sphere $S^{n-1}(\sqrt{n})$, roughly follow a standard Gaussian distribution as $n$ approaches infinity. We revisit this classical result from a nonstandard analysis perspective,…

概率论 · 数学 2024-10-17 Irfan Alam

We develop a unified H\"older Lebesgue scale \(X^p\) and its weighted, higher order variants \(X^{k,p,a}\) to extend the Caffarelli Kohn Nirenberg (CKN) inequality beyond the classical Lebesgue regime. Within this framework we prove a two…

偏微分方程分析 · 数学 2025-10-02 Mengxia Dong

In this work, we investigate measurement incompatibility in general probabilistic theories (GPTs). We show several equivalent characterizations of compatible measurements. The first is in terms of the positivity of associated maps. The…

量子物理 · 物理学 2022-11-21 Andreas Bluhm , Anna Jenčová , Ion Nechita

We develop the theory of multiresolutions in the context of Hausdorff measure of fractional dimension between 0 and 1. While our fractal wavelet theory has points of similarity that it shares with the standard case of Lebesgue measure on…

经典分析与常微分方程 · 数学 2007-05-23 Dorin E. Dutkay , Palle E. T. Jorgensen

Changepoints are a very common feature of Big Data that arrive in the form of a data stream. In this paper, we study high-dimensional time series in which, at certain time points, the mean structure changes in a sparse subset of the…

统计方法学 · 统计学 2017-03-21 Tengyao Wang , Richard J. Samworth

This paper addresses the study of novel constructions of variational analysis and generalized differentiation that are appropriate for characterizing robust stability properties of constrained set-valued mappings/multifunctions between…

最优化与控制 · 数学 2024-01-11 Boris S. Mordukhovich , Pengcheng Wu , Xiaoqi Yang

The paper is devoted to the investigation of Esscher's transform on high dimensional Euclidean spaces in the light of its application to the central limit theorem. With this tool, we explore necessary and sufficient conditions of normal…

概率论 · 数学 2024-07-31 Sergey Bobkov , Friedrich Götze

We revisit entropic formulations of the uncertainty principle for an arbitrary pair of positive operator-valued measures (POVM) $A$ and $B$, acting on finite dimensional Hilbert space. Salicr\'u generalized $(h,\phi)$-entropies, including…

量子物理 · 物理学 2015-06-18 S. Zozor , G. M. Bosyk , M. Portesi

Let $B$ be a $d$-dimensional Gaussian process on $\mathbb{R}$, where the component are independents copies of a scalar Gaussian process $B_0$ on $\mathbb{R}_+$ with a given general variance function…

概率论 · 数学 2021-12-08 Frederi Viens , Mohamed Erraoui , Youssef Hakiki

We study embeddings and norm estimates for tensor products of weighted reproducing kernel Hilbert spaces. These results lead to a transfer principle that is directly applicable to tractability studies of multivariate problems as integration…

数值分析 · 数学 2021-09-21 Michael Gnewuch , Mario Hefter , Aicke Hinrichs , Klaus Ritter

We prove the existence of an ergodic measure with full Hausdorff dimension for a class of nonlinear nonconformal skew-product transformations. In order to do so we establish a variational principle for the topological pressure of certain…

动力系统 · 数学 2007-05-25 Nuno Luzia

We consider one-parameter families of smooth uniformly contractive iterated function systems $\{f^\lambda_j\}$ on the real line. Given a family of parameter dependent measures $\{\mu_{\lambda}\}$ on the symbolic space, we study geometric…

动力系统 · 数学 2022-02-04 Balázs Bárány , Károly Simon , Boris Solomyak , Adam Śpiewak

We prove a general transfer theorem for multivariate random sequences with independent random indexes in the double array limit setting. We also prove its partial inverse providing necessary and sufficient conditions for the convergence of…

概率论 · 数学 2016-11-04 V. Yu. Korolev , A. I. Zeifman