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In this paper, we introduce the notion of a $\gamma$-density point for Lebesgue-measurable subsets of $\mathbb{R}$, where $\gamma$ is a modulus function, and study its basic measure-theoretic properties. We show that every $\gamma$-density…

General Topology · Mathematics 2026-04-16 H. S. Behmanush , M. Küçükaslan

The Morse-Smale complex of a function $f$ decomposes the sample space into cells where $f$ is increasing or decreasing. When applied to nonparametric density estimation and regression, it provides a way to represent, visualize, and compare…

Statistics Theory · Mathematics 2017-04-05 Yen-Chi Chen , Christopher R. Genovese , Larry Wasserman

We derive a new closed-form variance-adaptive confidence sequence (CS) for estimating the average conditional mean of a sequence of bounded random variables. Empirically, it yields the tightest closed-form CS we have found for tracking…

Statistics Theory · Mathematics 2025-12-25 Ben Chugg , Aaditya Ramdas

In the paper we define the convergence of compact fuzzy sets as a convergence of alpha-cuts in the topology of compact subsets of a metric space. Furthermore we define typical convergences of fuzzy variables and show relations with…

Probability · Mathematics 2009-04-06 Adam Bzowski , Michal K. Urbanski

We study the stochastic convergence of the Ces\`{a}ro mean of a sequence of random variables. These arise naturally in statistical problems that have a sequential component, where the sequence of random variables is typically derived from a…

Statistics Theory · Mathematics 2020-09-15 Aurélien F. Bibaut , Alex Luedtke , Mark J. van der Laan

In this paper we will characterize the completeness and barrelledness of a normed space through the strong p-Ces\`aro summability of series. A new characterization of weakly unconditionally Cauchy series and unconditionally convergent…

Functional Analysis · Mathematics 2024-02-12 Fernando León-Saavedra , Soledad Moreno-Pulido , Antonio Sala-Pérez

Statistical limits are defined relaxing conditions on conventional convergence. The main idea of the statistical convergence of a sequence l is that the majority of elements from l converge and we do not care what is going on with other…

Classical Analysis and ODEs · Mathematics 2008-03-31 Mark Burgin , Oktay Duman

We investigate some properties of density measures -- finitely additive measures on the set of natural numbers $\N$ extending asymptotic density. We introduce a class of density measures, which is defined using cluster points of the…

Number Theory · Mathematics 2013-05-31 Martin Sleziak , Miloš Ziman

We analyze the convergence properties of Fermat distances, a family of density-driven metrics defined on Riemannian manifolds with an associated probability measure. Fermat distances may be defined either on discrete samples from the…

Machine Learning · Statistics 2023-07-13 Nicolás García Trillos , Anna Little , Daniel McKenzie , James M. Murphy

Motivated by problems in high-dimensional statistics such as mixture modeling for classification and clustering, we consider the behavior of radial densities as the dimension increases. We establish a form of concentration of measure, and…

Statistics Theory · Mathematics 2016-09-13 Ery Arias-Castro , Xiao Pu

Mean density of lower dimensional random closed sets, as well as the mean boundary density of full dimensional random sets, and their estimation are of great interest in many real applications. Only partial results are available so far in…

Statistics Theory · Mathematics 2014-02-05 Elena Villa

Answering a question of Lindholm, we prove strict density inequalities for sampling and interpolation in Fock spaces of entire functions in several complex variables defined by a plurisubharmonic weight. In particular, these spaces do not…

Classical Analysis and ODEs · Mathematics 2020-04-17 Karlheinz Gröchenig , Antti Haimi , Joaquim Ortega-Cerdà , José Luis Romero

We find sufficient conditions for a discrete sequence to be interpolating or sampling for certain generalized Bergman spaces on open Riemann surfaces. As in previous work of Bendtsson, Ortega-Cerda, Seip, Wallsten and others, our conditions…

Complex Variables · Mathematics 2007-05-23 Alexander P. Schuster , Dror Varolin

We show that intersection numbers on the moduli space of stable bundles of coprime rank and degree over a smooth complex curve can be recovered as highest-degree asymptotics in formulas of Vafa-Intriligator type. In particular, we…

Algebraic Geometry · Mathematics 2007-05-23 Alina Marian , Dragos Oprea

We establish a general large sieve inequality with sparse sets $\mathcal{S}$ of moduli in the Gaussian integers which are in a sense well-distributed in arithmetic progressions. This extends earlier work of S. Baier on the large sieve with…

Number Theory · Mathematics 2020-03-11 Stephan Baier , Arpit Bansal

We study sequences of oriented Riemannian manifolds with boundary and, more generally, integral current spaces and metric spaces with boundary. {\color{blue}For a metric space, we define its boundary to be the completion of the space minus…

Metric Geometry · Mathematics 2021-08-18 Raquel Perales

In this paper, we consider the isoperimetric problem in the space $\mathbb{R}^N$ with density. Our result states that, if the density f is l.s.c. and converges to a positive limit at infinity, being smaller than this limit far from the…

Analysis of PDEs · Mathematics 2014-11-20 Guido De Philippis , Giovanni Franzina , Aldo Pratelli

We study finitely additive measures on the set $\mathbb N$ which extend the asymptotic density (density measures). We show that there is a one-to-one correspondence between density measures and positive functionals in $\ell_\infty^*$, which…

Number Theory · Mathematics 2015-02-23 Peter Letavaj , Ladislav Mišík , Martin Sleziak

The Ces\`aro limit - the asymptotic average of a sequence of real numbers - is an operator of fundamental importance in probability, statistics and mathematical analysis. To better understand sequences with Ces\`aro limits, this paper…

Functional Analysis · Mathematics 2022-02-22 Jonathan M. Keith , Greg Markowsky

Periodic point sets model all solid crystalline materials whose structures are determined in a rigid form and should be studied up to rigid motion or isometry preserving inter-point distances. In 2021 H.Edelsbrunner et al. introduced an…

Computational Geometry · Computer Science 2022-05-05 Olga Anosova , Vitaliy Kurlin