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Moser's Bernstein theorem \cite{moser61} says that an entire minimal graph of codimension 1 with bounded slope must be a hyperplane. An analogous result for arbitrary codimension is not true, by an example of Lawson-Osserman. Here, we show…

Differential Geometry · Mathematics 2019-05-09 Renan Assimos , Jürgen Jost

As a continuation of \cite{NSY:local}, we mainly discuss the global structure of two-dimensional locally compact geodesically complete metric spaces with curvature bounded above. We first obtain the result on the Lipschitz homotopy…

Metric Geometry · Mathematics 2023-09-01 Koichi Nagano , Takashi Shioya , Takao Yamaguchi

We consider learning the principal subspace of a large set of vectors from an extremely small number of compressive measurements of each vector. Our theoretical results show that even a constant number of measurements per column suffices to…

Machine Learning · Statistics 2016-12-13 Akshay Krishnamurthy , Martin Azizyan , Aarti Singh

Motivated by persistent homology and topological data analysis, we consider formal sums on a metric space with a distinguished subset. These formal sums, which we call persistence diagrams, have a canonical 1-parameter family of metrics…

Algebraic Topology · Mathematics 2025-02-19 Peter Bubenik , Iryna Hartsock

We study the dimensional Brunn-Minkowski inequality for even log-concave probability measures $\mu$ on $\mathbb{R}^n$ via an analytic approach based on diffusion operators and gradient estimates. Our main result asserts that for every pair…

Metric Geometry · Mathematics 2026-05-05 Alexandros Eskenazis , Apostolos Giannopoulos , Natalia Tziotziou

Distance covariance is a measure of dependence between two random variables that take values in two, in general different, metric spaces, see Sz\'ekely, Rizzo and Bakirov (2007) and Lyons (2013). It is known that the distance covariance,…

Probability · Mathematics 2019-10-30 Svante Janson

The merit of projecting data onto linear subspaces is well known from, e.g., dimension reduction. One key aspect of subspace projections, the maximum preservation of variance (principal component analysis), has been thoroughly researched…

Machine Learning · Computer Science 2022-09-27 Erik Thordsen , Erich Schubert

In the paper we compute the virtual dimension (defined by the Hilbert polynomial) of a space of hypersurfaces of given degree containing $s$ codimension 2 general linear subspaces in $\mathbb{P}^n$. We use Veneroni maps to find a family of…

Algebraic Geometry · Mathematics 2021-09-01 Natalia Kupiec

We report a new internal gauge symmetry of the n-dimensional Palatini action with cosmological term (n>3) that is the generalization of three-dimensional local translations. This symmetry is obtained through the direct application of the…

General Relativity and Quantum Cosmology · Physics 2017-09-26 Merced Montesinos , Diego Gonzalez , Mariano Celada , Bogar Diaz

In Quantum Physics, a measurement is represented by a projection on some closed subspace of a Hilbert space. We study algebras of operators that abstract from the algebra of projections on closed subspaces of a Hilbert space. The properties…

Quantum Physics · Physics 2007-05-23 Daniel Lehmann , Kurt Engesser , Dov M. Gabbay

Teramoto et al. defined a new measure called the gap ratio that measures the uniformity of a finite point set sampled from $\cal S$, a bounded subset of $\mathbb{R}^2$. We generalize this definition of measure over all metric spaces by…

Computational Geometry · Computer Science 2015-12-07 Arijit Bishnu , Sameer Desai , Arijit Ghosh , Mayank Goswami , Subhabrata Paul

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

A common criterion in the design of finite Hilbert space frames is minimal coherence, as this leads to error reduction in various signal processing applications. Frames that achieve minimal coherence relative to all unit-norm frames are…

Functional Analysis · Mathematics 2017-07-07 John I. Haas , Peter G. Casazza

We show that any space with a positive upper curvature bound has in a small neighborhood of any point a closely related metric with a negative upper curvature bound.

Differential Geometry · Mathematics 2019-10-14 Alexander Lytchak , Stephan Stadler

Gaussian processes can be considered as subsets of a standard Hilbert space, but the geometric understanding that would relate the size of a set with the size of its convex hull is still lacking. In this work, we adopt a geometric approach…

Probability · Mathematics 2022-08-09 Shih-Yu Chang

We present a model in which a gauge symmetry of a field theory is intrinsic in the geometry of an extended space time itself. A consequence is that the dimension of our space time is restricted through the BRS cohomology. If the Hilbert…

High Energy Physics - Theory · Physics 2009-10-28 Takayuki Hori

We propose a variational approach to approximate measures with measures uniformly distributed over a 1 dimentional set. The problem consists in minimizing a Wasserstein distance as a data term with a regularization given by the length of…

Analysis of PDEs · Mathematics 2024-10-17 Antonin Chambolle , Vincent Duval , Joao Miguel Machado

We derive curvature counterterms in two-dimensional gravity coupled to conformal matter up to infinite order. By construction the higher-order action is equivalent to a finite first-order theory with auxiliary scalar. Due to this…

High Energy Physics - Theory · Physics 2009-10-22 Thomas T. Burwick

We show that any bounded domain in a doubling quasiconvex metric space can be approximated from inside and outside by uniform domains.

Metric Geometry · Mathematics 2021-01-28 Tapio Rajala

We show that for every $1<n<\infty$, there exits a Banach space $X_n$ containing proximinal subspaces of codimension $n$ but no proximinal finite codimensional subspaces of higher codimension. Moreover, the set of norm-attaining functionals…

Functional Analysis · Mathematics 2019-12-18 Miguel Martin