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Let $\mu$ be a measure on the Euclidean space $\R^d$ of unbounded total variation that is positive or translation bounded and has a pure point Fourier transform in the sense of distributions $\hat\mu$. We prove that the measure $\nu$ with…

Functional Analysis · Mathematics 2025-03-26 Peter Boyvalenkov , Sergii Yu. Favorov

We study the Kantorovich-Rubinstein transhipment problem when the difference between the source and the target is not anymore a balanced measure but belongs to a suitable subspace $X(\Omega)$ of first order distribution. A particular…

Optimization and Control · Mathematics 2013-12-20 Guy Bouchitté , Giuseppe Buttazzo , Luigi De Pascale

In a metric space $(X,d)$ we reconstruct an approximation of a Borel measure $\mu$ starting from a premeasure $q$ defined on the collection of closed balls, and such that $q$ approximates the values of $\mu$ on these balls. More precisely,…

Functional Analysis · Mathematics 2015-10-13 Blanche Buet , Gian Paolo Leonardi

We establish sharp exponential deviation estimates of the information content as well as a sharp bound on the varentropy for the class of convex measures on Euclidean spaces. This generalizes a similar development for log-concave measures…

Probability · Mathematics 2020-02-25 Matthieu Fradelizi , Jiange Li , Mokshay Madiman

Let $M$ be a compact connected Riemannian manifold possibly with a boundary, let $V\in C^2(M)$ such that $\mu(d x):=e^{V(x)}d x$ is a probability measure, and let $\{\lambda_i\}_{i\ge 1} $ be all non-trivial eigenvalues of $-L$ with Neumann…

Probability · Mathematics 2021-12-21 Feng-Yu Wang , Jie-Xiang Zhu

In this work we design a general method for proving moment inequalities for polynomials of independent random variables. Our method works for a wide range of random variables including Gaussian, Boolean, exponential, Poisson and many…

Probability · Mathematics 2012-06-11 Warren Schudy , Maxim Sviridenko

Let $X$ be a metric space and let $\mu$ be a probability measure on it. Consider a Lipschitz map $T: X \rightarrow \Rn$, with Lipschitz constant $\leq 1$. Then one can ask whether the image $TX$ can have large projections on many…

Functional Analysis · Mathematics 2011-06-27 Mark Kozdoba

Given a metric space with a Borel probability measure, for each integer $N$ we obtain a probability distribution on $N\times N$ distance matrices by considering the distances between pairs of points in a sample consisting of $N$ points…

Probability · Mathematics 2011-10-31 Siddhartha Gadgil , Manjunath Krishnapur

We give concentration inequalities in Wasserstein distance for the empirical measure of a sequence of independent and identically distributed random variables with values in a Polish space E. These inequalities involve the covering…

Probability · Mathematics 2026-01-19 Jérôme Dedecker , Aurélie Fischer , Bertrand Michel

In this paper, we are concerned with obtaining distribution-free concentration inequalities for mixture of independent Bernoulli variables that incorporate a notion of variance. Missing mass is the total probability mass associated to the…

Machine Learning · Statistics 2015-03-05 Bahman Yari Saeed Khanloo

Let H=A+UBU* where A and B are two N-by-N Hermitian matrices and U is a Haar-distributed random unitary matrix, and let \mu_H, \mu_A, and \mu_B be empirical measures of eigenvalues of matrices H, A, and B, respectively. Then, it is known…

Probability · Mathematics 2011-06-28 Vladislav Kargin

Lecture notes as per the title. In the first part, the concepts of a measurable space, measurable maps between measurable spaces and that of a measure on a measurable space are introduced, after which the fundamentals of the theory of…

Probability · Mathematics 2026-04-03 Matija Vidmar

In this short note we derive concentration inequalities for the empirical absolute moments of square symmetric matrices with independent symmetrically distributed +/-1 entries. Most of the previous results of this type are limited to…

Probability · Mathematics 2017-04-25 Ilya Soloveychik , Vahid Tarokh

The anti-concentration phenomenon in probability theory has been intensively studied in recent years, with applications across many areas of mathematics. In most existing works, the ambient probability space is a product space generated by…

Combinatorics · Mathematics 2026-03-23 Viet H. Do , Hoi H. Nguyen , Kiet H. Phan , Tuan Tran , Van H. Vu

We prove here the concentration of measure inequality for Lipschitz function on the Hamming cube with values in any Banach spaces of finite cotype.

Functional Analysis · Mathematics 2024-12-17 Alexander Borichev , Alexander Volberg

We study the dynamics of polynomial-like mappings in several variables. A special case of our results is the following theorem. Let f be a proper holomorphic map from an open set U onto a Stein manifold V, $U\subset\subset V$. Assume f is…

Dynamical Systems · Mathematics 2007-05-23 T. C. Dinh , N. Sibony

Let $E$ be a Moran set on $\mathbb{R}^1$ associated with a closed interval $J$ and two sequences $(n_k)_{k=1}^\infty$ and $(\mathcal{C}_k=(c_{k,j})_{j=1}^{n_k})_{k\geq1}$. Let $\mu$ be the infinite product measure (Moran measure) on $E$…

Functional Analysis · Mathematics 2018-02-13 Sanguo Zhu

Consider the metric space $(\mathcal{P}_2(\mathbb{R}^d),W_2)$ of square integrable laws on $\mathbb{R}^d$ with the topology induced by the 2-Wasserstein distance $W_2$. Let $\Phi: \mathcal{P}_2( \mathbb{R}^d) \to \mathbb{R}$ be a function…

Probability · Mathematics 2022-06-02 Jean-François Chassagneux , Lukasz Szpruch , Alvin Tse

We describe a novel approach to statistical learning from particles tracked while moving in a random environment. The problem consists in inferring properties of the environment from recorded snapshots. We consider here the case of a fluid…

Information Theory · Computer Science 2008-06-09 Michael Chertkov , Lukas Kroc , Massimo Vergassola