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We completely describe in terms of Hausdorff measures the size of the set of points of the circle that are covered infinitely often by a sequence of random arcs with given lengths. We also show that this set is a set with large…

Probability · Mathematics 2008-06-06 Arnaud Durand

We study a class of measures on the real line with a kind of self-similar structure, which we call dynamically driven self-similar measures, and contain proper self-similar measures such as Bernoulli convolutions as special cases. Our main…

Dynamical Systems · Mathematics 2019-03-18 Pablo Shmerkin

We prove a transference principle for general (i.e., not necessarily bounded) strongly continuous groups on Banach spaces. If the Banach space has the UMD property, the transference principle leads to estimates for the functional calculus…

Functional Analysis · Mathematics 2008-07-25 Markus Haase

We study a measure-theoretic notion of connectedness for sets of finite perimeter in the setting of doubling metric measure spaces supporting a weak $(1,1)$-Poincar\'{e} inequality. The two main results we obtain are a decomposition theorem…

Metric Geometry · Mathematics 2019-07-26 Paolo Bonicatto , Enrico Pasqualetto , Tapio Rajala

This work introduces two new notions of dimension, namely the unimodular Minkowski and Hausdorff dimensions, which are inspired from the classical analogous notions. These dimensions are defined for unimodular discrete spaces, introduced in…

Probability · Mathematics 2021-02-16 François Baccelli , Mir-Omid Haji-Mirsadeghi , Ali Khezeli

After shortly reviewing the fundamentals of approach theory as introduced by R. Lowen in 1989, we show that this theory is intimately related with the well-known Wasserstein metric on the space of probability measures with a finite first…

Probability · Mathematics 2017-01-12 Ben Berckmoes , Tim Hellemans , Mark Sioen , Jan Van Casteren

Products of $M$ i.i.d. random matrices of size $N \times N$ are related to classical limit theorems in probability theory ($N=1$ and large $M$), to Lyapunov exponents in dynamical systems (finite $N$ and large $M$), and to universality in…

Probability · Mathematics 2022-12-19 Dang-Zheng Liu , Dong Wang , Yanhui Wang

We extend the Duffin--Schaeffer conjecture to the setting of systems of $m$ linear forms in $n$ variables. That is, we establish a criterion to determine whether, for a given rate of approximation, almost all or almost no $n$-by-$m$ systems…

Number Theory · Mathematics 2023-01-25 Felipe A. Ramirez

Let $\{x\_n\}\_{n\geq 0}$ be a sequence of $[0,1]^d$, $\{\lambda\_n\} \_{n\geq 0}$ a sequence of positive real numbers converging to 0, and $\delta>1$. Let $\mu$ be a positive Borel measure on $[0,1]^d$, $\rho\in (0,1]$ and $\alpha>0$.…

General Mathematics · Mathematics 2007-05-23 Julien Barral , Stephane Seuret

Consider a uniformly distributed random linear subspace $L$ and a stochastically independent random affine subspace $E$ in $\mathbb{R}^n$, both of fixed dimension. For a natural class of distributions for $E$ we show that the intersection…

Metric Geometry · Mathematics 2024-04-23 Emil Dare , Markus Kiderlen , Christoph Thaele

Optimal transport theory has recently found many applications in machine learning thanks to its capacity for comparing various machine learning objects considered as distributions. The Kantorovitch formulation, leading to the Wasserstein…

Machine Learning · Statistics 2018-11-08 Titouan Vayer , Laetita Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty

When the transferable set is unknowable, transfering informative knowledge as much as possible\textemdash a principle we refer to as \emph{sufficiency}, becomes crucial for enhancing transfer learning effectiveness. However, existing…

Methodology · Statistics 2025-07-22 Xiyuan Zhang , Huihang Liu , Xinyu Zhang

The use of Hausdorff measures and dimension in the theory of Diophantine approximation dates back to the 1920s with the theorems of Jarnik and Besicovitch regarding well-approximable and badly-approximable points. In this paper we consider…

Number Theory · Mathematics 2016-04-01 Victor Beresnevich , Sanju Velani

We review the motivation and fundamental properties of the Hausdorff dimension of metric spaces and illustrate this with a number of examples, some of which are expected and well-known. We also give examples where the Hausdorff dimension…

Dynamical Systems · Mathematics 2007-08-21 Dierk Schleicher

We study the Hausdorff measure and dimension of the set of intrinsically simultaneously $\psi$-approximable points on a curve, surface, etc., given as a graph of integer valued polynomials. We obtain complete answers to these questions for…

Number Theory · Mathematics 2019-02-20 Morten Hein Tiljeset

The goal of this paper is to develop the theory of weighted Diophantine approximation of rational numbers to $p$-adic numbers. Firstly, we establish complete analogues of Khintchine's theorem, the Duffin-Schaeffer theorem and the…

Number Theory · Mathematics 2021-07-08 Victor Beresnevich , Jason Levesley , Benjamin Ward

The purpose of the present paper is to establish moderate deviation principles for a rather general class of random variables fulfilling certain bounds of the cumulants. We apply a celebrated lemma of the theory of large deviations…

Probability · Mathematics 2012-09-28 Hanna Doering , Peter Eichelsbacher

Falconer proved that there are sets $E\subset \mathbb{R}^n$ of Hausdorff dimension $n/2$ whose distance sets $\{|x-y| : x,y\in E\}$ are null with respect to Lebesgue measure. This led to the conjecture that distance sets have positive…

Classical Analysis and ODEs · Mathematics 2018-02-06 Keith Rogers

A general form of the Borel-Cantelli Lemma and its connection with the proof of Khintchine's Theorem on Diophantine approximation and the more general Khintchine-Groshev theorem are discussed. The torus geometry in the planar case allows a…

Number Theory · Mathematics 2007-10-24 M. M. Dodson

A generalized anisotropic-diffusion framework is developed for transport problem in media described by a tensorial scattering coefficient and a scalar Henyey--Greenstein asymmetry factor. In this regime the classical similarity relation…

Optics · Physics 2026-02-24 Ernesto Pini , Michele Giusfredi , Lorenzo Pattelli
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