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We study conditions under which treatment effect estimators constructed under the no-interference assumption in randomized experiments are asymptotically normal in the presence of interference. We prove that the standard Horvitz-Thompson…

Statistics Theory · Mathematics 2019-03-08 Alex Chin

We consider Berry's random planar wave model (1977), and prove spatial functional limit theorems - in the high-energy limit - for discretized and truncated versions of the random field obtained by restricting its nodal length to rectangular…

Probability · Mathematics 2023-05-24 Massimo Notarnicola , Giovanni Peccati , Anna Vidotto

In this note, we consider Szemer\'{e}di's theorem on $k$-term arithmetic progressions over finite fields $\mathbb{F}_p^n$, where the allowed set $S$ of common differences in these progressions is chosen randomly of fixed size. Combining a…

Number Theory · Mathematics 2025-08-05 Jason Zheng

In \cite{S}, Shyr derived an analogue of Dirichlet's class number formula for arithmetic Tori. We use this formula to derive a Brauer-Siegel formula for Tori, relating the Discriminant of a torus to the product of its regulator and class…

Number Theory · Mathematics 2011-06-14 Jacob Tsimerman

The wave speed of a stochastic wave equation driven by Riesz noise on the unbounded multidimensional spatial domain is estimated based on discrete measurements. Central limit theorems for second-order variations of the observations in…

Statistics Theory · Mathematics 2026-02-05 Anton Tiepner , Mathias Trabs , Eric Ziebell

Computational optimal transport (OT) has recently emerged as a powerful framework with applications in various fields. In this paper we focus on a relaxation of the original OT problem, the entropic OT problem, which allows to implement…

Probability · Mathematics 2025-10-06 Giacomo Greco , Maxence Noble , Giovanni Conforti , Alain Durmus

We propose a general strategy to build three-dimensional gauge theories with four supercharges which enjoy a supersymmetry enhancement in the IR. The resulting IR SCFTs admit topological twists with particularly nice properties, as well as…

High Energy Physics - Theory · Physics 2024-10-01 Davide Gaiotto , Heeyeon Kim

Motivated by the Lagrange top coupled to an oscillator, we consider the quasi-periodic Hamiltonian Hopf bifurcation. To this end, we develop the normal linear stability theory of an invariant torus with a generic (i.e., non-semisimple)…

Dynamical Systems · Mathematics 2007-05-23 H. W. Broer , H. Hanßmann , J. Hoo , V. Naudot

This note describes non-asymptotic variance and tail bounds for order statistics of samples of independent identically distributed random variables. Those bounds are checked to be asymptotically tight when the sampling distribution belongs…

Probability · Mathematics 2012-11-05 Stephane Boucheron , Maud Thomas

In this paper, we prove that some renowned lower bounds in discrepancy theory admit a discrete analogue. Namely, we prove that the lower bound of the discrepancy for corners in the unit cube due to Roth holds true also for a suitable finite…

Classical Analysis and ODEs · Mathematics 2025-03-06 Luca Brandolini , Bianca Gariboldi , Giacomo Gigante , Alessandro Monguzzi

Under network interference, the treatment given to one unit may also affect the outcomes of its neighboring units in an exposure graph. Existing large-sample theory has focused on settings where either the exposure graph is sparse, or the…

Statistics Theory · Mathematics 2026-03-27 Bryan Park , Stefan Wager

We prove new incidence bounds between a plane point set, which is a Cartesian product, and a set of translates $H$ of the hyperbola $xy=\lambda\neq 0$, over a field of asymptotically large positive characteristic $p$. They improve recent…

Combinatorics · Mathematics 2021-04-22 Misha Rudnev , James Wheeler

We develop refined Strichartz estimates at $L^2$ regularity for a class of time-dependent Schr\"{o}dinger operators. Such refinements begin to characterize the near-optimizers of the Strichartz estimate, and play a pivotal part in the…

Analysis of PDEs · Mathematics 2020-11-18 Casey Jao

We prove a general theorem to bound the total variation distance between the distribution of an integer valued random variable of interest and an appropriate discretized normal distribution. We apply the theorem to 2-runs in a sequence of…

Probability · Mathematics 2014-07-07 Xiao Fang

Weak turbulence is a phenomenon by which a system generically transfers energy from low to high wave numbers, while persisting for all finite time. It has been conjectured by Bourgain that the 2D defocusing nonlinear Schr\"odinger equation…

Numerical Analysis · Mathematics 2017-07-19 Aquil D. Jones , Gideon Simpson , William Wilson

We establish new interaction estimates for a system introduced by Baiti and Jenssen. These estimates are pivotal to the analysis of the wave front-tracking approximation. In a companion paper we use them to construct a counter-example which…

Analysis of PDEs · Mathematics 2016-08-16 Laura Caravenna , Laura Spinolo

We derive a general upper bound for the number of incidences with $k$-dimensional varieties in ${\mathbb R}^d$. The leading term of this new bound generalizes previous bounds for the special cases of $k=1, k=d-1,$ and $k= d/2$, to every…

Combinatorics · Mathematics 2018-09-13 Thao Do , Adam Sheffer

We study almost sure limiting behavior of extreme and intermediate order statistics arising from strictly stationary sequences. First, we provide sufficient dependence conditions under which these order statistics converges almost surely to…

Probability · Mathematics 2017-04-28 Aneta Buraczyńska , Anna Dembińska

We investigate bifurcation of closed orbits with a fixed energy level for a class of nearly integrable Hamiltonian systems with two degrees of freedom. More precisely, we make a joint use of Moser invariant curve theorem and…

Dynamical Systems · Mathematics 2023-10-05 Alberto Boscaggin , Walter Dambrosio , Guglielmo Feltrin

We present a novel approach to estimating discrete distributions with (potentially) infinite support in the total variation metric. In a departure from the established paradigm, we make no structural assumptions whatsoever on the sampling…

Statistics Theory · Mathematics 2020-10-16 Doron Cohen , Aryeh Kontorovich , Geoffrey Wolfer