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Related papers: Convergence in total variation on Wiener chaos

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Uniform laws of large numbers form a cornerstone of Vapnik--Chervonenkis theory, where they are characterized by the finiteness of the VC dimension. In this work, we study uniform convergence phenomena in cartesian product spaces, under…

Machine Learning · Computer Science 2026-03-26 Ron Holzman , Shay Moran , Alexander Shlimovich

Under certain general conditions, we prove that the stable central limit theorem holds in the total variation distance and get its optimal convergence rate for all $\alpha \in (0,2)$. Our method is by two measure decompositions, one step…

Probability · Mathematics 2023-12-08 Xiang Li , Lihu Xu , Haoran Yang

We prove that the sum of $t$ boolean-valued random variables sampled by a random walk on a regular expander converges in total variation distance to a discrete normal distribution at a rate of $O(\lambda/t^{1/2-o(1)})$, where $\lambda$ is…

Probability · Mathematics 2023-05-05 Louis Golowich

We consider point clouds obtained as random samples of a measure on a Euclidean domain. A graph representing the point cloud is obtained by assigning weights to edges based on the distance between the points they connect. Our goal is to…

Statistics Theory · Mathematics 2015-10-28 Nicolás García Trillos , Dejan Slepčev

We establish pointwise almost everywhere convergence for the polynomial multiple ergodic averages $$\frac{1}{N} \sum_{n=1}^N \La(n) f_1(T^{P_1(n)} x)\cdots f_k(T^{P_k(n)} x)$$ as $N\to \infty$, where $\La$ is the von Mangoldt function, $T…

Dynamical Systems · Mathematics 2025-05-22 Renhui Wan

We provide a simple abstract formalism of integration by parts under which we obtain some regularization lemmas. These lemmas apply to any sequence of random variables $(F_n)$ which are smooth and non-degenerated in some sense and enable…

Probability · Mathematics 2019-10-08 Vlad Bally , Lucia Caramellino , Guillaume Poly

We consider a probabilistic approach to compute the Wiener--Young $\Phi$-variation of fractal functions in the Takagi class. Here, the $\Phi$-variation is understood as a generalization of the quadratic variation or, more generally, the…

Probability · Mathematics 2021-12-14 Xiyue Han , Alexander Schied , Zhenyuan Zhang

We consider a semi-discrete finite volume scheme for a degenerate fractional conservation laws driven by a cylindrical Wiener process. Making use of the bounded variation (BV) estimates, Young measure theory, and a clever adaptation of…

Analysis of PDEs · Mathematics 2022-02-23 Ujjwal Koley , Guy Vallet

A sequence of chains exhibits (total-variation) cutoff (resp., pre-cutoff) if for all $0<\epsilon< 1/2$, the ratio $t_{\mathrm{mix}}^{(n)}(\epsilon)/t_{\mathrm{mix}}^{(n)}(1-\epsilon)$ tends to 1 as $n \to \infty $ (resp., the $\limsup$ of…

Probability · Mathematics 2018-04-02 Jonathan Hermon , Yuval Peres

On a probability space $(\Omega, \mathcal F, \mathbb P)$ we consider two independent sequences $(a_k)_{k \geq 1}$ and $(b_k)_{k \geq 1}$ of i.i.d. random variables that are centered with unit variance and which admit a moment strictly…

Probability · Mathematics 2019-12-23 Jürgen Angst , Guillaume Poly

This paper presents different approaches, based on functional inequalities, to study the speed of convergence in total variation distance of ergodic diffusion processes with initial law satisfying a given integrability condition. To this…

Probability · Mathematics 2007-05-23 Patrick Cattiaux , Arnaud Guillin

This paper consists of two halves. In the first half of the paper, we consider real-valued functions $f$ whose domain is the vertex set of a graph $G$ and that are Lipschitz with respect to the graph distance. By placing a uniform…

Combinatorics · Mathematics 2017-05-30 Matthew Yancey

We prove a large deviation principle for the sum of n independent heavy-tailed random variables, which are subject to a moving cut-off boundary at location n. Conditional on the sum being large at scale n, we show that a finite number of…

Probability · Mathematics 2024-12-17 Céline Kerriou , Peter Mörters

By combining the findings of two recent, seminal papers by Nualart, Peccati and Tudor, we get that the convergence in law of any sequence of vector-valued multiple integrals $F_n$ towards a centered Gaussian random vector $N$, with given…

Probability · Mathematics 2010-09-08 Salim Noreddine , Ivan Nourdin

We develop the asymptotic expansion theory for vector-valued sequences (F N) N $\ge$1 of random variables in terms of the convergence of the Stein-Malliavin matrix associated to the sequence F N. Our approach combines the classical Fourier…

Probability · Mathematics 2017-12-11 Ciprian Tudor , Nakahiro Yoshida

In this article, we revisit the question of fluctuations of linear statistics of beta ensembles in the single cut and non-critical regime for general potentials $V$ under mild regularity and growth assumptions. Our main objective is to…

Probability · Mathematics 2024-03-27 Jürgen Angst , Ronan Herry , Dominique Malicet , Guillaume Poly

This paper establishes complete convergence for weighted sums and the Marcinkiewicz--Zygmund-type strong law of large numbers for sequences of negatively associated and identically distributed random variables $\{X,X_n,n\ge1\}$ with general…

Probability · Mathematics 2021-03-02 Vu Thi Ngoc Anh , Nguyen Thi Thanh Hien , Lê Vǎn Thành , Vo Thi Hong Van

We study $I(T)$, the number of inversions in a tree $T$ with its vertices labeled uniformly at random, which is a generalization of inversions in permutations. We first show that the cumulants of $I(T)$ have explicit formulas involving the…

Probability · Mathematics 2020-04-21 Xing Shi Cai , Cecilia Holmgren , Svante Janson , Tony Johansson , Fiona Skerman

It is shown that fractional derivatives of the (integrated) invariant measure of the Feigenbaum map at the onset of chaos have power-law tails in their cumulative distributions, whose exponents can be related to the spectrum of…

Chaotic Dynamics · Physics 2007-05-23 U. Frisch , K. Khanin , T. Matsumoto

We consider the Frank-Wolfe algorithm for solving variational inequalities over compact, convex sets under a monotone $C^1$ operator and vanishing, nonsummable step sizes. We introduce a continuous-time interpolation of the discrete…

Optimization and Control · Mathematics 2026-04-10 Matthew Hough
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