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Related papers: Quadratic metric comparisons

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Metrics on Grassmannians have a wide array of applications: machine learning, wireless communication, computer vision, etc. But the available distances between subspaces of distinct dimensions present problems, and the dimensional asymmetry…

Algebraic Geometry · Mathematics 2022-08-11 André L. G. Mandolesi

Finite metric spaces are the object of study in many data analysis problems. We examine the concept of weak isometry between finite metric spaces, in order to analyse properties of the spaces that are invariant under strictly increasing…

Metric Geometry · Mathematics 2020-05-08 Alessandro De Gregorio , Ulderico Fugacci , Facundo Memoli , Francesco Vaccarino

Given the equations of the first and the second order surfaces in multidimensional space, our goal is to construct a univariate polynomial one of the zeros of which coincides with the square of the distance between these surfaces. To…

Symbolic Computation · Computer Science 2012-07-11 Alexei Yu. Uteshev , Marina V. Yashina

In this paper several examples of gaps (lacunes) between dimensions of maximal and submaximal symmetric models are considered, which include investigation of number of independent linear and quadratic integrals of metrics and counting the…

Differential Geometry · Mathematics 2012-03-06 Boris Kruglikov

In this paper we have studied the notion of rough convergence of sequences in a partial metric space. We have also investigated how far several relevant results on boundedness, rough limit sets etc. which are valid in a metric space are…

General Topology · Mathematics 2022-11-08 Amar Kumar Banerjee , Sukila Khatun

We prove a degree-six inequality on convex quadrilaterals. This inequality originated from work on the Atiyah-Sutcliffe conjectures on configurations of points in \Bbb{R} ^{3}.

Metric Geometry · Mathematics 2021-12-23 Mazen Bou Khuzam

We study the triangle inequalities for angles (with different definitions) and present inequalities concerning the entries of correlation matrices through the positivity of $3\times 3$ matrices. We extend our discussions to the inequalities…

Functional Analysis · Mathematics 2014-12-10 Diego Castano , Vehbi E. Paksoy , Fuzhen Zhang

Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers recently, since it reduces the dimensionality of these high…

Information Retrieval · Computer Science 2010-06-18 Muhammad Marwan Muhammad Fuad , Pierre-François Marteau

Distances play important roles in cosmological observations, especially in gravitational lens systems, but there is a problem in determining distances because they are defined in terms of light propagation, which is influenced…

Astrophysics · Physics 2008-11-26 Kenji Tomita , Hideki Asada , Takashi Hamana

Spaces of quasi-invariant measures supplied with different topologies are studied. Their embeddings, projective decompositions, conditions for their metrizability are investigated. Theorems about convergence of nets of quasi-invariant…

Probability · Mathematics 2016-06-08 Sergey Victor Ludkowski

In this paper we study how certain symmetries of convex bodies affect their geometric properties. In particular, we consider the impact of symmetries generated by the block diagonal subgroup of orthogonal transformations, generalizing…

Functional Analysis · Mathematics 2015-01-14 Susanna Dann , Marisa Zymonopoulou

We review important aspects of QCD in the continuum and on the lattice and take a look at the fate of its symmetries with an emphasis on chiral symmetry breaking on the lattice.

High Energy Physics - Lattice · Physics 2019-09-04 Manfried Faber , Roman Höllwieser

We prove various estimates for the mean square lattice point discrepancy for dilates of a convex body.

Classical Analysis and ODEs · Mathematics 2010-04-08 Alexander Iosevich , Eric Sawyer , Andreas Seeger

We present a complete system of inequalities for the inradius, circumradius, and diameter in the $3$-dimensional Euclidean space. To do so, we prove quasiconcavity of the inradius evaluated over $n$-simplices with a common facet…

Metric Geometry · Mathematics 2025-09-08 René Brandenberg , Bernardo González Merino , Mia Runge

Identifying the relativistic multipole moments of a spacetime of an astrophysical object that has been constructed numerically is of major interest, both because the multipole moments are intimately related to the internal structure of the…

General Relativity and Quantum Cosmology · Physics 2012-06-12 George Pappas , Theocharis A. Apostolatos

This work is devoted to the study of integration with respect to binomial measures. We develop interpolatory quadrature rules and study their properties. Local error estimates for these rules are derived in a general framework.

Numerical Analysis · Mathematics 2008-03-19 Francesco Calabró , Antonio Corbo Esposito

The distortion of six different intrinsic metrics and quasi-metrics under conformal and quasiregular mappings is studied in a few simple domains $G\subsetneq\mathbb{R}^n$. The already known inequalities between the hyperbolic metric and…

Metric Geometry · Mathematics 2023-03-16 Oona Rainio

We introduce a metric on the set of permutations of given order, which is a weighted generalization of Kendall's $\tau$ rank distance and study its properties. Using the edge graph of a permutohedron, we give a criterion which guarantees…

General Topology · Mathematics 2024-12-25 Albert Bruno Piek , Evgeniy Petrov

We examine length measurement in curved spacetime, based on the 1+3-splitting of a local observer frame. This situates extended objects within spacetime, in terms of a given coordinate which serves as an external reference. The radar metric…

General Relativity and Quantum Cosmology · Physics 2022-09-05 Colin MacLaurin

We initiate the rigorous study of classification in quasi-metric spaces. These are point sets endowed with a distance function that is non-negative and also satisfies the triangle inequality, but is asymmetric. We develop and refine a…

Machine Learning · Computer Science 2019-09-24 Lee-Ad Gottlieb , Shira Ozeri