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We introduce a Bayesian model for inferring mixtures of subspaces of different dimensions. The key challenge in such a mixture model is specification of prior distributions over subspaces of different dimensions. We address this challenge…

Statistics Theory · Mathematics 2015-09-24 Brian St. Thomas , Lizhen Lin , Lek-Heng Lim , Sayan Mukherjee

In this note, we introduce a new concept of a {\it generalized algebraic rational identity} to investigate the structure of division rings. The main theorem asserts that if a non-central subnormal subgroup $N$ of the multiplicative group…

Rings and Algebras · Mathematics 2015-10-30 Bui Xuan Hai , Mai Hoang Bien , Truong Huu Dung

We study dimensional reduction of M5 branes on a circle bundle when the supersymmetry parameter is not constant along the circle. When the gauge group is Abelian and the fields appear quadratically in the Lagrangian, we can always obtain a…

High Energy Physics - Theory · Physics 2022-03-02 Andreas Gustavsson

This paper investigates the significance of T-duality in string theory: the indistinguishability with respect to all observables, of models attributing radically different radii to space -- larger than the observable universe, or far…

History and Philosophy of Physics · Physics 2015-09-22 Nick Huggett

The halfspace depth is a well studied tool of nonparametric statistics in multivariate spaces, naturally inducing a multivariate generalisation of quantiles. The halfspace depth of a point with respect to a measure is defined as the infimum…

Methodology · Statistics 2024-09-30 Dušan Pokorný , Petra Laketa , Stanislav Nagy

Let $G$ be a Lie group of dimension $n$, and let $A(G)$ be the Fourier algebra of $G$. We show that the anti-diagonal $\check{\Delta}_G=\{(g,g^{-1})\in G\times G \mid g\in G\}$ is both a set of local smooth synthesis and a set of local weak…

Functional Analysis · Mathematics 2008-09-18 B. Doug Park , Ebrahim Samei

A subset $B$ of a group $G$ is called a difference basis of $G$ if each element $g\in G$ can be written as the difference $g=ab^{-1}$ of some elements $a,b\in B$. The smallest cardinality $|B|$ of a difference basis $B\subset G$ is called…

Combinatorics · Mathematics 2021-11-01 Taras Banakh , Volodymyr Gavrylkiv

We prove that the Fourier dimension of any Boolean function with Fourier sparsity $s$ is at most $O\left(s^{2/3}\right)$. Our proof method yields an improved bound of $\widetilde{O}(\sqrt{s})$ assuming a conjecture of…

Computational Complexity · Computer Science 2014-07-15 Swagato Sanyal

Let $F/E$ be a finite Galois extension of fields with abelian Galois group $\Gamma$. A self-dual normal basis for $F/E$ is a normal basis with the additional property that $Tr_{F/E}(g(x),h(x))=\delta_{g,h}$ for $g,h\in\Gamma$.…

Number Theory · Mathematics 2011-01-27 Erik Jarl Pickett

For $ 1\le k <n$, we prove that for functions $F,G$ on $ {\Bbb R}^{n}$, any $k$-dimensional affine subspace $H \subset {\Bbb R}^{n}$, and $p,q,r \ge 2$ with $\frac{1}{p}+\frac{1}{q}+\frac{1}{r}=1$, one has the estimate $$…

Classical Analysis and ODEs · Mathematics 2016-05-13 Dan-Andrei Geba , Allan Greenleaf , Alex Iosevich , Eyvindur Palsson , Eric Sawyer

A characterization of finitely generated shift-invariant subspaces is given when generators are g-minimal. An algorithm is given for the determination of the coefficients in the well known representation of the Fourier transform of an…

Classical Analysis and ODEs · Mathematics 2019-06-18 K. S. Kazarian

The goal of this paper is to construct a Frobenius splitting on $G/U$ via the Poisson geometry of $(G/U,\pi_{G/U})$, where $G$ is a semi-simple algebraic group of classical type defined over an algebraically closed field of characteristic…

Algebraic Geometry · Mathematics 2019-08-05 Jun Peng , Shizhuo Yu

The Grassmann angle improves upon similar angles between subspaces that measure volume contraction in orthogonal projections. It works in real or complex spaces, with important differences, and is asymmetric, what makes it more efficient…

Metric Geometry · Mathematics 2021-01-13 André L. G. Mandolesi

We study the fine-grained uniform convergence behavior of halfspaces beyond worst-case VC bounds. For inhomogeneous halfspaces in $\mathbb{R}^d$ with $d\ge 2$, we show that standard first-order VC bounds are essentially tight: even…

Machine Learning · Computer Science 2026-05-08 Aryeh Kontorovich , Kasper Green Larsen

The L_2-discrepancy measures the irregularity of the distribution of a finite point set. In this note we prove lower bounds for the L_2 discrepancy of arbitrary N-point sets. Our main focus is on the two-dimensional case. Asymptotic upper…

Numerical Analysis · Mathematics 2014-02-19 Aicke Hinrichs , Lev Markhasin

In this letter, we consider two sets of observations defined as subspace signals embedded in noise and we wish to analyze the distance between these two subspaces. The latter entails evaluating the angles between the subspaces, an issue…

Methodology · Statistics 2015-06-17 Olivier Besson , Nicolas Dobigeon , Jean-Yves Tourneret

Standard numerical integrators suffer from an order reduction when applied to nonlinear Schr\"{o}dinger equations with low-regularity initial data. For example, standard Strang splitting requires the boundedness of the solution in $H^{r+4}$…

Numerical Analysis · Mathematics 2019-06-04 Marvin Knöller , Alexander Ostermann , Katharina Schratz

This paper is devoted to the performance analysis of the detectors proposed in the companion paper where a comprehensive design framework is presented for the adaptive detection of subspace signals. The framework addresses four variations…

Signal Processing · Electrical Eng. & Systems 2022-11-23 Pia Addabbo , Danilo Orlando , Giuseppe Ricci , Louis L. Scharf

An $L^2$ Fourier restriction argument of Bak and Seeger is abstracted to the setting of locally compact abelian groups. This is used to prove new restriction estimates for varieties lying in modules over local fields or rings of integers…

Classical Analysis and ODEs · Mathematics 2018-01-11 Jonathan Hickman , James Wright

In this paper, we propose the Fourier Discrepancy Function, a new discrepancy to compare discrete probability measures. We show that this discrepancy takes into account the geometry of the underlying space. We prove that the Fourier…

Machine Learning · Statistics 2021-11-19 Auricchio Gennaro , Codegoni Andrea , Gualandi Stefano , Zambon Lorenzo