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Related papers: Bernstein-Markov: a survey

200 papers

We provide a new characterization of the logarithmic Sobolev inequality.

Analysis of PDEs · Mathematics 2017-02-16 Hoai-Minh Nguyen , Marco Squassina

This paper describes the theory of Minkowski problems for geometric measures in convex geometric analysis. The theory goes back to Minkowski and Aleksandrov and has been developed extensively in recent years. The paper surveys classical and…

Metric Geometry · Mathematics 2025-02-11 Yong Huang , Deane Yang , Gaoyang Zhzng

In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent sequence of random variables that are not necessarily bounded. The class considered includes geometrically and subgeometrically strongly mixing…

Probability · Mathematics 2009-02-04 Florence Merlevède , Magda Peligrad , Emmanuel Rio

We are proving a Bernstein type inequality in the shift-invariant spaces of $L_2(R)$.

Functional Analysis · Mathematics 2017-08-29 V. Babenko , A. Ligun , S. Spektor

We survey various origins and expressions for the quantum potential with some new observations.

Quantum Physics · Physics 2007-05-23 Robert Carroll

We survey recent developments in the theory of achievement sets and present a substantial collection of open problems.

Classical Analysis and ODEs · Mathematics 2025-12-22 Szymon Głąb , Franciszek Prus-Wiśniowski

In the past twenty years, hadron spectroscopy has made immense progress. Experimental facilities have observed different multiquark states during these years. There are different models and phenomenological potentials to study the nature of…

High Energy Physics - Phenomenology · Physics 2023-07-26 Sreelakshmi M , Akhilesh Ranjan

We discuss interplays between log-concave functions and log-concave sequences. We prove a Bernstein-type theorem, which characterizes the Laplace transform of log-concave measures on the half-line in terms of log-concavity of the…

Probability · Mathematics 2018-07-10 Bo'az Klartag , Joseph Lehec

We review the alternative proposals introduced recently in the literature to update the standard formula to estimate the uncertainty on the mean of repeated measurements, and we compare their performances on synthetic examples with normal…

Data Analysis, Statistics and Probability · Physics 2022-09-13 Pascal Pernot , Jean-Paul Berthet

We introduce a new type of Bernstein operators, which can be used to approximate the functions with inner singularities. The direct and inverse results of the weighted approximation of this new type of combinations are given.

Functional Analysis · Mathematics 2012-08-21 Wen-ming Lu , Lin Zhang

Solutions to the Markov equation appear in many mathematical contexts. We aim to build on the understanding of them by proving a recent conjecture about Markov polynomials; solutions to a generalised version of the Markov equation. The…

Combinatorics · Mathematics 2026-04-21 Sam J. Evans

We obtain Marcinkiewicz--ygmund (MZ) inequalities in various Banach and quasi-Banach spaces under minimal assumptions on the structural properties of these spaces. Our main results show that the Bernstein inequality in a general…

Classical Analysis and ODEs · Mathematics 2024-11-07 Yurii Kolomoitsev , Sergey Tikhonov

We introduce a class of Markov chains, that contains the model of stochastic approximation by averaging and non-averaging. Using martingale approximation method, we establish various deviation inequalities for separately Lipschitz functions…

Probability · Mathematics 2022-09-16 Xiequan Fan , Pierre Alquier , Paul Doukhan

We consider measures supported on the bi-circle and review the recurrence relations satisfied by the orthogonal polynomials associated with these measures constructed using the lexicographical or reverse lexicographical ordering. New…

Classical Analysis and ODEs · Mathematics 2011-02-07 Jeffrey S. Geronimo , Philip Benge

We present in an informal way some recent results concerning a possible overlapping between classical unpredictability and quantum indeterminism.

Quantum Physics · Physics 2010-11-29 Thierry Paul

Exponential inequalities are main tools in machine learning theory. To prove exponential inequalities for non i.i.d random variables allows to extend many learning techniques to these variables. Indeed, much work has been done both on…

Machine Learning · Statistics 2020-08-03 Pierre Alquier , Paul Doukhan , Xiequan Fan

A survey paper on some recent results on additive problems with prime powers.

Number Theory · Mathematics 2017-05-12 Alessandro Languasco

In this review-type paper written at the occasion of the Oberwolfach workshop {\em One-sided vs. Two-sided stochastic processes} (february 22-29, 2020), we discuss and compare Markov properties and generalisations thereof in more…

Probability · Mathematics 2020-12-01 Aernout van Enter , Arnaud Le Ny , Frédéric Paccaut

In this paper, several Bohr-type inequalities are generalized to the form with two parameters for the bounded analytic function. Most of the results are sharp.

Complex Variables · Mathematics 2025-02-06 Wanqing Hou , Qihan Wang , Boyong Long

We present simple randomized and exchangeable improvements of Markov's inequality, as well as Chebyshev's inequality and Chernoff bounds. Our variants are never worse and typically strictly more powerful than the original inequalities. The…

Statistics Theory · Mathematics 2023-05-10 Aaditya Ramdas , Tudor Manole