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We give an explicit construction of two-dimensional point sets whose $L_p$ discrepancy is of best possible order for all $1\le p\le \infty$. It is provided by folding Hammersley point sets in base $b$ by means of the $b$-adic baker's…

Numerical Analysis · Mathematics 2019-12-09 Takashi Goda

We prove that for any Borel probability measure $\mu$ on $\mathbb R^n$ there exists a set $X\subset \mathbb R^n$ of $n+1$ points such that any $n$-variate quadratic polynomial $P$ that is nonnegative on $X$ (i.e. $P(x)\geq 0$, for every $x…

Metric Geometry · Mathematics 2023-08-29 Pablo González-Mazón , Alfredo Hubard , Roman Karasev

We provide probabilistic lower bounds for the star discrepancy of Latin hypercube samples. These bounds are sharp in the sense that they match the recent probabilistic upper bounds for the star discrepancy of Latin hypercube samples proved…

Numerical Analysis · Mathematics 2021-09-21 Benjamin Doerr , Carola Doerr , Michael Gnewuch

We study the extreme $L_p$ discrepancy of infinite sequences in the $d$-dimensional unit cube, which uses arbitrary sub-intervals of the unit cube as test sets. This is in contrast to the classical star $L_p$ discrepancy, which uses…

Number Theory · Mathematics 2021-09-15 Ralph Kritzinger , Friedrich Pillichshammer

We show that there is a constant $K > 0$ such that for all $N, s \in \N$, $s \le N$, the point set consisting of $N$ points chosen uniformly at random in the $s$-dimensional unit cube $[0,1]^s$ with probability at least $1-\exp(-\Theta(s))$…

Numerical Analysis · Mathematics 2013-10-08 Benjamin Doerr

Geometric discrepancies are standard measures to quantify the irregularity of distributions. They are an important notion in numerical integration. One of the most important discrepancy notions is the so-called \emph{star discrepancy}.…

Neural and Evolutionary Computing · Computer Science 2013-10-08 Carola Doerr , Francois-Michel De Rainville

In this paper we present new versions of the classical Brunn-Minkowski inequality for different classes of measures and sets. We show that the inequality \[ \mu(\lambda A + (1-\lambda)B)^{1/n} \geq \lambda \mu(A)^{1/n} +…

Probability · Mathematics 2015-07-10 Galyna Livshyts , Arnaud Marsiglietti , Piotr Nayar , Artem Zvavitch

In this paper we study the geometric discrepancy of explicit constructions of uniformly distributed points on the two-dimensional unit sphere. We show that the spherical cap discrepancy of random point sets, of spherical digital nets and of…

Numerical Analysis · Mathematics 2014-02-17 Christoph Aistleitner , Johann Brauchart , Josef Dick

We establish bounds for the measure of deviation sets associated to continuous observables with respect to not necessarily invariant weak Gibbs measures. Under some mild assumptions, we obtain upper and lower bounds for the measure of…

Dynamical Systems · Mathematics 2011-10-27 Paulo Varandas

We show that for any log-concave measure $\mu$ on $\mathbb{R}^n$, any pair of symmetric convex sets $K$ and $L$, and any $\lambda\in [0,1],$ $$\mu((1-\lambda) K+\lambda L)^{c_n}\geq (1-\lambda) \mu(K)^{c_n}+\lambda\mu(L)^{c_n},$$ where…

Metric Geometry · Mathematics 2026-05-14 Galyna V. Livshyts

The $L_{\infty}$ star discrepancy is a measure for the regularity of a finite set of points taken from $[0,1)^d$. Low discrepancy point sets are highly relevant for Quasi-Monte Carlo methods in numerical integration and several other…

Neural and Evolutionary Computing · Computer Science 2023-06-30 François Clément , Diederick Vermetten , Jacob de Nobel , Alexandre D. Jesus , Luís Paquete , Carola Doerr

We study the periodic $L_2$-discrepancy of point sets in the $d$-dimensional torus. This discrepancy is intimately connected with the root-mean-square $L_2$-discrepancy of shifted point sets, with the notion of diaphony, and with the worst…

Number Theory · Mathematics 2020-01-08 Josef Dick , Aicke Hinrichs , Friedrich Pillichshammer

The symmetrized Hammersley point set is known to achieve the best possible rate for the $L_2$-norm of the discrepancy function. Also lower bounds for the norm in Besov spaces of dominating mixed smoothness are known. In this paper a large…

Numerical Analysis · Mathematics 2014-02-19 Lev Markhasin

We study the $L^{\infty}$ discrepancy of point sets generated by determinantal point processes on all compact, connected two-point homogeneous spaces, namely spheres and projective spaces. Using concentration inequalities and variance…

Classical Analysis and ODEs · Mathematics 2026-05-22 Carlos Beltrán , Ujué Etayo , Giacomo Gigante , Pedro R. López-Gómez , Ryan W. Matzke

We show that the isotropic discrepancy of a lattice point set can be bounded from below and from above in terms of the spectral test of the corresponding integration lattice. From this we deduce that the isotropic discrepancy of any…

Number Theory · Mathematics 2022-09-16 Friedrich Pillichshammer , Mathias Sonnleitner

We study the local discrepancy of a symmetrized version of the well-known van der Corput sequence and of modified two-dimensional Hammersley point sets in arbitrary base $b$. We give upper bounds on the norm of the local discrepancy in…

Number Theory · Mathematics 2016-02-04 Ralph Kritzinger

In this article we survey recent results on the explicit construction of finite point sets and infinite sequences with optimal order of $\mathcal{L}_q$ discrepancy. In 1954 Roth proved a lower bound for the $\mathcal{L}_2$ discrepancy of…

Number Theory · Mathematics 2013-08-21 Josef Dick , Friedrich Pillichshammer

The spherical cap discrepancy is a prominent measure of uniformity for sets on the d-dimensional sphere. It is particularly important for estimating the integration error for certain classes of functions on the sphere. Building on a…

Combinatorics · Mathematics 2025-04-09 Holger Heitsch , René Henrion

Let $\Lambda$ be an isolated non-trival transitive set of a $C^1$ generic diffeomorphism $f\in\Diff(M)$. We show that the space of invariant measures supported on $\Lambda$ coincides with the space of accumulation measures of time averages…

Dynamical Systems · Mathematics 2012-03-15 Wenxiang Sun , Xueting Tian

The discrepancy of a point set quantifies how well the points are distributed, with low-discrepancy point sets demonstrating exceptional uniform distribution properties. Such sets are integral to quasi-Monte Carlo methods, which approximate…

Number Theory · Mathematics 2026-02-16 Josef Dick , Takashi Goda , Gerhard Larcher , Friedrich Pillichshammer , Kosuke Suzuki