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The goal of this note is to explore the Bergman projection on forms. In particular, we show that some of most basic facts used to construct the Bergman kernel on functions, such as pointwise evaluation in…

Complex Variables · Mathematics 2021-01-21 Andrew Raich

We investigate the relationship between the geometry of token embeddings and their role in the next token prediction within transformer models. An important aspect of this connection uses the notion of empirical measure, which encodes the…

Computation and Language · Computer Science 2025-01-22 Karthik Viswanathan , Yuri Gardinazzi , Giada Panerai , Alberto Cazzaniga , Matteo Biagetti

This paper is devoted to a study of the connection between the immersion functions of two-dimensional surfaces in Euclidean or hyperbolic spaces and classical orthogonal polynomials. After a brief description of the soliton surfaces…

Mathematical Physics · Physics 2019-12-24 Vincent Chalifour , Alfred Michel Grundland

We build confidence balls for the common density $s$ of a real valued sample $X_1,...,X_n$. We use resampling methods to estimate the projection of $s$ onto finite dimensional linear spaces and a model selection procedure to choose an…

Statistics Theory · Mathematics 2010-07-27 Matthieu Lerasle

In this note we study the entropy spectrum of rotation classes for collections of finitely many continuous potentials $\varphi_1,\dots,\varphi_m:X\to \mathbb{R}$ with respect to the set of invariant measures of an underlying dynamical…

Dynamical Systems · Mathematics 2020-11-10 Yan Mary He , Christian Wolf

We derive an upper bound on the size of a ball such that the image of the ball under quadratic map is strongly convex and smooth. Our result is the best possible improvement of the analogous result by Polyak in the case of quadratic map. We…

Optimization and Control · Mathematics 2017-10-27 Anatoly Dymarsky

We consider the motion of test particles and light rays in a static cylindrically symmetric conformal spacetime given by Said et al [1]. We derive the equations of motion and present their analytical solutions in terms of the Weierstrass…

General Relativity and Quantum Cosmology · Physics 2016-08-16 Bahareh Hoseini , Reza Saffari , Saheb Soroushfar , Jutta Kunz , Saskia Grunau

In the paper, the authors establish, by using Cauchy integral formula in the theory of complex functions, an integral representation for the geometric mean of $n$ positive numbers. From this integral representation, the geometric mean is…

Classical Analysis and ODEs · Mathematics 2014-03-07 Feng Qi , Xiao-Jing Zhang , Wen-Hui Li

We investigate the distribution of lengths obtained by intersecting a random geodesic with a geodesic lamination. We give an explicit formula for the distribution for the case of a maximal lamination and show that the distribution is…

Geometric Topology · Mathematics 2007-05-23 Martin Bridgeman , David Dumas

We consider the problem of estimating the support of a measure from a finite, independent, sample. The estimators which are considered are constructed based on the empirical Christoffel function. Such estimators have been proposed for the…

Statistics Theory · Mathematics 2020-05-20 Mai Trang Vu , François Bachoc , Edouard Pauwels

A finite set of the Euclidean space is called an $s$-distance set provided the number of Euclidean distances in the set is $s$. Determining the largest possible $s$-distance set for the Euclidean space of a given dimension is challenging.…

Combinatorics · Mathematics 2023-12-20 Hiroshi Nozaki , Masashi Shinohara , Sho Suda

The geometric approach to optimal transport and information theory has triggered the interpretation of probability densities as an infinite-dimensional Riemannian manifold. The most studied Riemannian structures are Otto's metric, yielding…

Analysis of PDEs · Mathematics 2018-07-20 Martin Bauer , Sarang Joshi , Klas Modin

We consider the problem of the boundedness of maximal operators on BMO on shapes in $\mathbb{R}^n$. We prove that for bases of shapes with an engulfing property, the corresponding maximal function is bounded from BMO to BLO, generalising a…

Functional Analysis · Mathematics 2020-07-29 Galia Dafni , Ryan Gibara , Hong Yue

This paper gives embedding theorems for a very general class of weighted Bergman spaces: the results include a number of classical Carleson embedding theorems as special cases. We also consider little Hankel operators on these Bergman…

Functional Analysis · Mathematics 2012-10-11 Birgit Jacob , Jonathan Partington , Sandra Pott

We show that the set of max-plus measures representing a given max-plus harmonic vector has a least element. This may be viewed as an analogue of the uniqueness of the integral representation of harmonic functions in Potential Theory. As an…

Metric Geometry · Mathematics 2007-05-23 Cormac Walsh

We study the representation dimension of the class of algebras known as quantum complete intersections. For such an algebra, we show that the representation dimension is at most twice its codimension. Moreover, we show that the…

Quantum Algebra · Mathematics 2007-10-16 Petter Andreas Bergh , Steffen Oppermann

We explore the relation among volume, curvature and properness of a $m$-dimensional isometric immersion in a Riemannian manifold. We show that, when the $L^p$-norm of the mean curvature vector is bounded for some $m \leq p\leq \infty$, and…

Differential Geometry · Mathematics 2015-04-02 Vicent Gimeno , Vicente Palmer

We study local convexity properties of the triangular ratio metric balls in proper subdomains of the real coordinate space. We also study inclusion properties of the visual angle metric balls and related hyperbolic type metric balls in the…

Metric Geometry · Mathematics 2017-11-13 Parisa Hariri , Riku Klén , Matti Vuorinen

We study Sobolev spaces of radial functions on spherically symmetric Riemannian manifolds. Using geodesic polar coordinates, we give a sharp one-dimensional reduction: a radial function belongs to the Sobolev space on the manifold if and…

Analysis of PDEs · Mathematics 2026-02-17 João Marcos do Ó , Guozhen Lu , Raoní Ponciano

We study approaches for compressing the empirical measure in the context of finite dimensional reproducing kernel Hilbert spaces (RKHSs). In this context, the empirical measure is contained within a natural convex set and can be…

Machine Learning · Statistics 2024-08-29 Steffen Grünewälder