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This paper proposes a Bayesian method for estimating the parameters of a normal distribution when only limited summary statistics (sample mean, minimum, maximum, and sample size) are available. To estimate the parameters of a normal…

Methodology · Statistics 2024-11-21 Tomoki Matsumoto

The Chernoff bound is one of the most widely used tools in theoretical computer science. It's rare to find a randomized algorithm that doesn't employ a Chernoff bound in its analysis. The standard proofs of Chernoff bounds are beautiful but…

Data Structures and Algorithms · Computer Science 2026-02-10 William Kuszmaul

We study the problem of minimizing the supremum norm, on a segment of the real line or on a compact set in the plane, by polynomials with integer coefficients. The extremal polynomials are naturally called integer Chebyshev polynomials.…

Classical Analysis and ODEs · Mathematics 2013-07-23 Igor E. Pritsker

The nodes of certain minimal cubature rule are real common zeros of a set of orthogonal polynomials of degree $n$. They often consist of a well distributed set of points and interpolation polynomials based on them have desired convergence…

Numerical Analysis · Mathematics 2017-09-05 Yuan Xu

We undertake a systematic study of sketching a quadratic form: given an $n \times n$ matrix $A$, create a succinct sketch $\textbf{sk}(A)$ which can produce (without further access to $A$) a multiplicative $(1+\epsilon)$-approximation to…

Data Structures and Algorithms · Computer Science 2026-02-23 Alexandr Andoni , Jiecao Chen , Robert Krauthgamer , Bo Qin , David P. Woodruff , Qin Zhang

Fix a space dimension $d\ge 2$, parameters $\alpha > -1$ and $\beta \ge 1$, and let $\gamma_{d,\alpha, \beta}$ be the probability measure of an isotropic random vector in $\mathbb{R}^d$ with density proportional to \begin{align*}…

Probability · Mathematics 2018-08-30 Julian Grote

Quantum hypothesis testing concerns the discrimination between quantum states. This paper introduces a novel lower bound for asymmetric quantum hypothesis testing that is based on the Nussbaum-Szko{\l}a mapping. The lower bound provides a…

Quantum Physics · Physics 2026-05-21 Jorge Lizarribar-Carrillo , Gonzalo Vazquez-Vilar , Tobias Koch

It has been shown in a recent work by Yakir-Zeitouni that the minimum modulus of random trigonometric polynomials with Gaussian coefficients has a limiting exponential distribution. We show this is a universal phenomenon. Our approach…

Probability · Mathematics 2021-10-06 Nicholas A. Cook , Hoi H. Nguyen

We study random surfaces with a uniformly convex gradient interaction in the presence of quenched disorder taking the form of a random independent external field. Previous work on the model has focused on proving existence and uniqueness of…

Probability · Mathematics 2022-05-09 Paul Dario

This paper introduces the notion of probabilistic zero bounds for random polynomials. It presents new results regarding the probabilistic bounds of random polynomials whose coefficients are independently and identically distributed as…

Complex Variables · Mathematics 2026-05-27 Sajad A. Sheikh , Mohammad Ibrahim Mir

We consider the problem of efficiently learning mixtures of a large number of spherical Gaussians, when the components of the mixture are well separated. In the most basic form of this problem, we are given samples from a uniform mixture of…

Data Structures and Algorithms · Computer Science 2017-11-01 Oded Regev , Aravindan Vijayaraghavan

Let $K$ be a number field with algebraic closure $\bar{K}$, let $S$ be a finite set of places of $K$ containing the archimedean places, and let $\varphi$ be Chebyshev polynomial. In this paper we prove uniformity results on the number of…

Number Theory · Mathematics 2024-10-03 Rudranarayan Padhy , Sudhansu Sekhar Rout

We introduce the notion of Benjamini-Schramm convergence for quantum graphs. This notion of convergence, intended to play the role of the already existing notion for discrete graphs, means that the restriction of the quantum graph to a…

Spectral Theory · Mathematics 2020-08-14 Nalini Anantharaman , Maxime Ingremeau , Mostafa Sabri , Brian Winn

The accumulated quadrature weights of Gaussian quadrature formulae constitute bounds on the integral over the intervals between the quadrature nodes. Classical results in this concern date back to works of Chebyshev, Markov and Stieltjes…

Numerical Analysis · Mathematics 2022-12-20 Tobias Jawecki

We bound the variance and other moments of a random vector based on the range of its realizations, thus generalizing inequalities of Popoviciu (1935) and Bhatia and Davis (2000) concerning measures on the line to several dimensions. This is…

Probability · Mathematics 2020-02-03 Tongseok Lim , Robert J. McCann

We study Riemannian manifolds with boundary under a lower Ricci curvature bound, and a lower mean curvature bound for the boundary. We prove a volume comparison theorem of Bishop-Gromov type concerning the volumes of the metric…

Differential Geometry · Mathematics 2015-12-25 Yohei Sakurai

} The main goal of this note is to provide new, mostly multidimensional densities, compactly supported and list many of its properties that enable effective calculations. The idea of obtaining such densities is firstly to build some…

Classical Analysis and ODEs · Mathematics 2018-08-08 Paweł J. Szabłowski

Based on the statistical concept of the median, we propose a quantum uncertainty relation between semi-interquartile ranges of the position and momentum distributions of arbitrary quantum states. The relation is universal, unlike that based…

Quantum Physics · Physics 2019-05-22 Anindita Bera , Debmalya Das , Aditi Sen De , Ujjwal Sen

We study the lower bound for Koldobsky's slicing inequality. We show that there exists a measure $\mu$ and a symmetric convex body $K \subseteq \mathbb{R}^n$, such that for all $\xi\in S^{n-1}$ and all $t\in \mathbb{R},$…

Metric Geometry · Mathematics 2023-07-19 Bo'az Klartag , Galyna V. Livshyts

We consider the probability by which quantum phase measurements of a given precision can be done successfully. The least upper bound of this probability is derived and the associated optimal state vectors are determined. The probability…

Quantum Physics · Physics 2009-02-14 Thomas Schürmann