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The $k$-ellipse is the plane algebraic curve consisting of all points whose sum of distances from $k$ given points is a fixed number. The polynomial equation defining the $k$-ellipse has degree $2^k$ if $k$ is odd and degree…

Algebraic Geometry · Mathematics 2011-09-27 Jiawang Nie , Pablo A. Parrilo , Bernd Sturmfels

We define genuine total, classical and quantum correlations in tripartite systems. The measure we propose is based on the idea that genuine tripartite correlation exists if and only if the correlation between any bipartition does not…

Quantum Physics · Physics 2012-06-12 Liming Zhao , Xueyuan Hu , R. -H. Yue , Heng Fan

We consider the unrestricted problem of two mutually attracting rigid bodies, an uniform sphere (or a point mass) and an axially symmetric body. We present a global, geometric approach for finding all relative equilibria (stationary…

Earth and Planetary Astrophysics · Physics 2015-05-14 Mikhail Vereshchagin , Andrzej J. Maciejewski , Krzysztof Gozdziewski

An approximate projection onto the tangent cone to the variety of third-order tensors of bounded tensor-train rank is proposed and proven to satisfy a better angle condition than the one proposed by Kutschan (2019). Such an approximate…

Optimization and Control · Mathematics 2023-08-29 Charlotte Vermeylen , Guillaume Olikier , Marc Van Barel

We provide an analytical tripartite-study from the generalized $R$-matrix. It provides the upper bound of the maximum violation of Mermin's inequality. For a generic 2-qubit pure state, the concurrence or $R$-matrix characterizes the…

Quantum Physics · Physics 2023-01-11 Xingyu Guo , Chen-Te Ma

We study parallel algorithms for correlation clustering. Each pair among $n$ objects is labeled as either "similar" or "dissimilar". The goal is to partition the objects into arbitrarily many clusters while minimizing the number of…

Data Structures and Algorithms · Computer Science 2022-05-10 Soheil Behnezhad , Moses Charikar , Weiyun Ma , Li-Yang Tan

We solve the problem of best approximation by partial isometries of given rank to an arbitrary rectangular matrix, when the distance is measured in any unitarily invariant norm. In the case where the norm is strictly convex, we parametrize…

Functional Analysis · Mathematics 2016-11-08 Jorge Antezana , Eduardo Chiumiento

We introduce a correlation coefficient that is designed to deal with a variety of ranking formats including those containing non-strict (i.e., with-ties) and incomplete (i.e., unknown) preferences. The correlation coefficient is designed to…

Applications · Statistics 2019-02-19 Yeawon Yoo , Adolfo R. Escobedo , J. Kyle Skolfield

The aim of this paper is to justify in dimensions two and three the ansatz of Caracciolo et al. stating that the displacement in the optimal matching problem is essentially given by the solution to the linearized equation i.e. the Poisson…

Probability · Mathematics 2021-05-10 Michael Goldman , Martin Huesmann

We give an optimal upper bound for the maximum-norm distance from a vertex of a knapsack polyhedron to its nearest feasible lattice point. In a randomised setting, we show that the upper bound can be significantly improved on average. As a…

Combinatorics · Mathematics 2018-05-15 Iskander Aliev , Martin Henk , Timm Oertel

We prove the following asymptotically tight lower bound for $k$-color discrepancy: For any $k \geq 2$, there exists a hypergraph with $n$ hyperedges such that its $k$-color discrepancy is at least $\Omega(\sqrt{n})$. This improves on the…

Discrete Mathematics · Computer Science 2025-10-14 Pasin Manurangsi , Raghu Meka

We prove coherence of relatively quasi-free algebras over noetherian rings. Chase criterion for coherence is used.

Rings and Algebras · Mathematics 2015-01-13 Alexey Bondal , Ilya Zhdanovskiy

Efficient algorithms for $k$-means clustering frequently converge to suboptimal partitions, and given a partition, it is difficult to detect $k$-means optimality. In this paper, we develop an a posteriori certifier of approximate optimality…

Machine Learning · Statistics 2017-10-04 Dustin G. Mixon , Soledad Villar

Let $K$ be a convex pentagon in the plane and let $K_1$ be the pentagon bounded by the diagonals of $K$. It has been conjectured that the maximum of the ratio between the areas of $K_1$ and $K$ is reached when $K$ is an affine regular…

History and Overview · Mathematics 2018-12-20 Jacqueline Cho , Dan Ismailescu , Yiwon Kim , Andrew Woojong Lee

We introduce a new stable mathematical model for locating and measuring the medial axis of geometric objects, called the quadratic multiscale medial axis map of scale $\lambda$, and prove a sharp regularity result for the squared-distance…

Metric Geometry · Mathematics 2015-08-25 Kewei Zhang , Elaine Crooks , Antonio Orlando

Given an edge-weighted metric complete graph with $n$ vertices, the maximum weight metric triangle packing problem is to find a set of $n/3$ vertex-disjoint triangles with the total weight of all triangles in the packing maximized. Several…

Data Structures and Algorithms · Computer Science 2024-02-14 Jingyang Zhao , Mingyu Xiao

A perfect matching in the complete graph on $2k$ vertices is a set of edges such that no two edges have a vertex in common and every vertex is covered exactly once. Two perfect matchings are said to be $t$-intersecting if they have at least…

Combinatorics · Mathematics 2020-08-20 Shaun Fallat , Karen Meagher , Mahsa N. Shirazi

Let X be a smooth projective minimal 3-fold of general type. We prove the sharp inequality K^3_X >= (2 /3)(2p_g(X) - 5), an analogue of the classical Noether inequality for algebraic surfaces of general type

Algebraic Geometry · Mathematics 2018-06-20 Fabrizio Catanese , Meng Chen , De-Qi Zhang

This work focuses on active learning of distance metrics from relative comparison information. A relative comparison specifies, for a data point triplet $(x_i,x_j,x_k)$, that instance $x_i$ is more similar to $x_j$ than to $x_k$. Such…

Machine Learning · Computer Science 2014-09-16 Sicheng Xiong , Rómer Rosales , Yuanli Pei , Xiaoli Z. Fern

It is shown that the relative distance in Frobenius norm of a real symmetric order-$d$ tensor of rank two to its best rank-one approximation is upper bounded by $\sqrt{1-(1-1/d)^{d-1}}$. This is achieved by determining the minimal possible…

Algebraic Geometry · Mathematics 2022-09-27 Henrik Eisenmann , André Uschmajew