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For a probability measure on a real separable Hilbert space, we are interested in "volume-based" approximations of the d-dimensional least squares error of it, i.e., least squares error with respect to a best fit d-dimensional affine…

Functional Analysis · Mathematics 2012-10-08 Gilad Lerman , J. Tyler Whitehouse

We study the topology of metric spaces which are definable in o-minimal expansions of ordered fields. We show that a definable metric space either contains an infinite definable discrete set or is definably homeomorphic to a definable set…

Logic · Mathematics 2015-11-12 Erik Walsberg

In this paper, we show that if a set in bivariate metric semigroups-valued bounded variation spaces is pointwise totally bounded and joint equivariated then it is precompact. These spaces include bounded Jordan variation spaces, bounded…

Functional Analysis · Mathematics 2025-01-07 Jingshi Xu , Yinglian Niu

Consider a mapping $f\colon X\to Y$ between two metric measure spaces. We study generalized versions of the local Lipschitz number $\mathrm{Lip} f$, as well as of the distortion number $H_f$ that is used to define quasiconformal mappings.…

Metric Geometry · Mathematics 2022-04-28 Panu Lahti

In [Y.~K.~Hu, K.~A.~Kopotun, X.~M.~Yu, Constr. Approx. 2000], the authors have obtained a characterization of best $n$-term piecewise polynomial approximation spaces as real interpolation spaces between $L^p$ and some spaces of bounded…

Functional Analysis · Mathematics 2024-02-23 Jacek Gulgowski , Anna Kamont , Markus Passenbrunner

We introduce the concept of boundariness capturing the most efficient way of expressing a given element of a convex set as a probability mixture of its boundary elements. In other words, this number measures (without the need of any…

Quantum Physics · Physics 2014-09-01 Erkka Haapasalo , Michal Sedlak , Mario Ziman

We examine the minimization of information entropy for measures on the phase space of bounded domains, subject to constraints that are averages of grand canonical distributions. We describe the set of all such constraints and show that it…

Mathematical Physics · Physics 2019-10-02 Stamatis Dostoglou , Alexander Hughes , Jianfei Xue

A closed set of a Euclidean space is said to be Chebyshev if every point in the space has one and only one closest point in the set. Although the situation is not settled in infinite-dimensional Hilbert spaces, in 1932 Bunt showed that in…

Functional Analysis · Mathematics 2007-12-27 Heinz H. Bauschke , Xianfu Wang , Jane Ye , Xiaoming Yuan

We show existence of fundamental domains which minimize a general perimeter functional in a homogeneous metric measure space. In some cases, which include the usual perimeter in the universal cover of a closed Riemannian manifold, and the…

Analysis of PDEs · Mathematics 2022-12-23 Annalisa Cesaroni , Matteo Novaga

We prove the existence of minimizers in the class of negative definite measures on compact subsets of momentum space in the homogeneous setting under several side conditions (constraints). The method is to employ Prohorov's theorem. Given a…

Mathematical Physics · Physics 2021-09-14 Christoph Langer

We provide three different characterizations of the space $BV(O,\gamma)$ of the functions of bounded variation with respect to a centred non-degenerate Gaussian measure $ \gamma$ on open domains $O$ in Wiener spaces. Throughout these…

Functional Analysis · Mathematics 2019-02-27 Davide Addona , Giorgio Menegatti , Michele Miranda

We present DeepPerimeter, a deep learning based pipeline for inferring a full indoor perimeter (i.e. exterior boundary map) from a sequence of posed RGB images. Our method relies on robust deep methods for depth estimation and wall…

Computer Vision and Pattern Recognition · Computer Science 2019-07-03 Ameya Phalak , Zhao Chen , Darvin Yi , Khushi Gupta , Vijay Badrinarayanan , Andrew Rabinovich

We devise a generalization of tree approximation that generates conforming meshes, i.e., meshes with a particular structure like edge-to-edge triangulations. A key feature of this generalization is that the choices of the cells to be…

Numerical Analysis · Mathematics 2023-01-26 Peter Binev , Francesca Fierro , Andreas Veeser

The metric dimension of a graph is the smallest number of nodes required to identify all other nodes based on shortest path distances uniquely. Applications of metric dimension include discovering the source of a spread in a network,…

Combinatorics · Mathematics 2021-04-16 Richard C. Tillquist , Rafael M. Frongillo , Manuel E. Lladser

In this work, we Extend Pawlak approximation spaces by topological spaces. Also, Rough Membership, equality and inclusion relations are extended using topological near open sets. In addition, new extended measures of accuracy and quality of…

General Topology · Mathematics 2019-08-19 A. S. Salama , O. G. Elbarbary

The performance bounds of near-field sensing are studied for circular arrays, focusing on the impact of bandwidth and array size. The closed-form Cramer-Rao bound (CRBs) for angle and distance estimation are derived, revealing the scaling…

Information Theory · Computer Science 2024-09-04 Zhaolin Wang , Xidong Mu , Yuanwei Liu

The Levi-Civita field $\mathcal{R}$ is the smallest non-Archimidean ordered field extension of the real numbers that is real closed and Cauchy complete in the topology induced by the order. In an earlier paper [Shamseddine-Berz-2003], a…

Classical Analysis and ODEs · Mathematics 2022-11-10 Mateo Restrepo Borrero , Vatsal Srivastava , Khodr Shamseddine

We study the properties of sets $\Sigma$ having the minimal length (one-dimensional Hausdorff measure) over the class of closed connected sets $\Sigma \subset \mathbb{R}^2$ satisfying the inequality $\mbox{max}_{y \in M}…

Optimization and Control · Mathematics 2017-04-12 Danila Cherkashin , Yana Teplitskaya

We present the foundations of the theory of functions of bounded variation and sets of finite perimeter in abstract Wiener spaces.

Analysis of PDEs · Mathematics 2012-12-27 M. Miranda , M. Novaga , D. Pallara

We consider best approximation problems in a nonlinear subset $\mathcal{M}$ of a Banach space of functions $(\mathcal{V},\|\bullet\|)$. The norm is assumed to be a generalization of the $L^2$-norm for which only a weighted Monte Carlo…

Numerical Analysis · Mathematics 2021-05-13 Martin Eigel , Reinhold Schneider , Philipp Trunschke