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Related papers: Volume difference inequalities

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The purpose of this paper is to give a survey on the notions of distance between subsets either of a metric space or of a measure space, including definitions, a classification, and a discussion of the best-known distance functions, which…

Functional Analysis · Mathematics 2018-08-09 A. Conci , C. S. Kubrusly

We construct a multi-observable uncertainty equality as well as an inequality based on the sum of standard deviations in the qubit system. The obtained equality indicates that the uncertainty relation can be expressed more accurately, and…

Quantum Physics · Physics 2020-06-08 Xiao Zheng , Shaoqiang Ma , Guofeng Zhang

A universal inequality that bounds the angular momentum of a body by the square of its size is presented and heuristic physical arguments are given to support it. We prove a version of this inequality, as consequence of Einstein equations,…

General Relativity and Quantum Cosmology · Physics 2014-02-05 Sergio Dain

The main subject of this expository paper is a connection between Gromov's filling volumes and a boundary rigidity problem of determining a Riemannian metric in a compact domain by its boundary distance function. A fruitful approach is to…

Differential Geometry · Mathematics 2010-04-16 Sergei Ivanov

This note uses a simple example to show how moment inequality models used in the empirical economics literature lead to general minimax relative efficiency comparisons. The main point is that such models involve inference on a low…

Applications · Statistics 2014-12-19 Timothy B. Armstrong

A theorem of W. Derrick ensures that the volume of any Riemannian cube $([0,1]^n,g)$ is bounded below by the product of the distances between opposite codimension-1 faces. In this paper, we establish a discrete analog of Derrick's…

Metric Geometry · Mathematics 2016-02-24 Kyle Kinneberg

Specification of the strongest possible Bell inequalities for arbitrarily complicated physical scenarios -- any number of observers choosing between any number of observables with any number of possible outcomes -- is currently an open…

Quantum Physics · Physics 2015-12-17 Brandon Fogel

Higher-dimensional theories of the kind which may unify gravitation with particle physics can lead to significant modifications of general relativity. In five dimensions, the vacuum becomes non-standard, and the Weak Equivalence Principle…

General Relativity and Quantum Cosmology · Physics 2009-11-11 Paul S. Wesson

Hypercontractive inequalities are a useful tool in dealing with extremal questions in the geometry of high-dimensional discrete and continuous spaces. In this survey we trace a few connections between different manifestations of…

Discrete Mathematics · Computer Science 2011-01-18 Punyashloka Biswal

We prove that at differentiability points $r_0>0$ of the volume function of a compact set $A\subset {\mathbb R}^d$ (associating to $r$ the volume of the $r$-parallel set of $A$), the surface area measures of $r$-parallel sets of $A$…

Metric Geometry · Mathematics 2024-12-20 Jan Rataj , Steffen Winter

Given a random variable $X$ and considered a family of its possible distortions, we define two new measures of distance between $X$ and each its distortion. For these distance measures, which are extensions of the Gini's mean difference,…

Probability · Mathematics 2023-10-09 Marco Capaldo , Antonio Di Crescenzo , Franco Pellerey

We compute the volumes of convex bodies that are given by inequalities of concave polynomials. These volumes are found to arbitrary precision thanks to the representation of periods by linear differential equations. Our approach rests on…

Algebraic Geometry · Mathematics 2026-05-15 Lakshmi Ramesh , Nicolas Weiss

In this survey article we will consider universal lower bounds on the volume of a Riemannian manifold, given in terms of the volume of lower dimensional objects (primarily the lengths of geodesics). By `universal' we mean without curvature…

Differential Geometry · Mathematics 2007-05-23 Christopher B. Croke , Mikhail G. Katz

We formulate uncertainty relations for arbitrary $N$ observables. Two uncertainty inequalities are presented in terms of the sum of variances and standard deviations, respectively. The lower bounds of the corresponding sum uncertainty…

Quantum Physics · Physics 2015-09-24 Bin Chen , Shao-Ming Fei

We develop a theory for the representation of opaque solids as volumes. Starting from a stochastic representation of opaque solids as random indicator functions, we prove the conditions under which such solids can be modeled using…

Computer Vision and Pattern Recognition · Computer Science 2024-04-17 Bailey Miller , Hanyu Chen , Alice Lai , Ioannis Gkioulekas

The magnitude of a metric space is a novel invariant that provides a measure of the 'effective size' of a space across multiple scales, while also capturing numerous geometrical properties, such as curvature, density, or entropy. We develop…

Machine Learning · Computer Science 2025-01-16 Katharina Limbeck , Rayna Andreeva , Rik Sarkar , Bastian Rieck

We obtain a new extension of Rogers-Shephard inequality providing an upper bound for the volume of the sum of two convex bodies $K$ and $L$. We also give lower bounds for the volume of the $k$-th limiting convolution body of two convex…

Metric Geometry · Mathematics 2013-12-23 David Alonso-Gutiérrez , Bernardo González , Carlos Hugo Jiménez

The optimal condition of the cone volume measure of a pair of antopodal points is proved and analyzed.

Metric Geometry · Mathematics 2015-01-15 Karoly J. Böröczky , Pal Hegedus

We study the relationship between the ratio of intrinsic to extrinsic metrics and area. For certain surfaces inside unit ball in R3 we give lower bound on the maximum of ratio in terms of its area. We also give examples to show…

Differential Geometry · Mathematics 2025-12-08 Berk Ceylan

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
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