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We introduce a general class of distances (metrics) between Markov chains, which are based on linear behaviour. This class encompasses distances given topologically (such as the total variation distance or trace distance) as well as by…

Formal Languages and Automata Theory · Computer Science 2016-06-27 Przemysław Daca , Thomas A. Henzinger , Jan Křetínský , Tatjana Petrov

By assigning a probability measure via the spectrum of the normalized Laplacian to each graph and using L^p Wasserstein distances between probability measures, we define the corresponding spectral distances d_p on the set of all graphs.…

Spectral Theory · Mathematics 2019-04-03 Jiao Gu , Bobo Hua , Shiping Liu

For a given region, and specified boundary flux and density rate of an extensive property, the optimal flux field that satisfies the balance conditions is considered. The optimization criteria are the $L^{p}$-norm and a Sobolev-like norm of…

Analysis of PDEs · Mathematics 2024-09-06 Vladimir Gol'dshtein , Reuven Segev

We study the structure of planar point sets that determine a small number of distinct distances. Specifically, we show that if a set P of n points determines o(n) distinct distances, then no line contains \Omega(n^{7/8}) points of P and no…

Combinatorics · Mathematics 2013-08-27 Adam Sheffer , Joshua Zahl , Frank de Zeeuw

We characterize the largest point sets in the plane which define at most 1, 2, and 3 angles. For $P(k)$ the largest size of a point set admitting at most $k$ angles, we prove $P(2)=5$ and $P(3)=5$. We also provide the general bounds of $k+2…

Combinatorics · Mathematics 2022-10-18 Henry L. Fleischmann , Steven J. Miller , Eyvindur A. Palsson , Ethan Pesikoff , Charles Wolf

We estimate the $L^{p}$ norms of the discrepancy between the volume and the number of integer points in $r\Omega-x$, a dilated by a factor $r$ and translated by a vector $x$ of a convex body $\Omega$ in $\mathbb{R}^{d}$ with smooth boundary…

Classical Analysis and ODEs · Mathematics 2019-02-25 Leonardo Colzani , Bianca Gariboldi , Giacomo Gigante

We study augmenting a plane Euclidean network with a segment, called a shortcut, to minimize the largest distance between any two points along the edges of the resulting network. Problems of this type have received considerable attention…

Computational Geometry · Computer Science 2018-07-27 Delia Garijo , Alberto Márquez , Natalia Rodríguez , Rodrigo I. Silveira

Graphics play a crucial role in statistical analysis and data mining. This paper describes metrics developed to assist the use of lineups for making inferential statements. Lineups embed the plot of the data among a set of null plots, and…

Applications · Statistics 2014-08-11 Niladri Roy Chowdhury , Dianne Cook , Heike Hofmann , Mahbubul Majumder , Yifan Zhao

We consider the problem of computing the time-convex hull of a point set under the general $L_p$ metric in the presence of a straight-line highway in the plane. The traveling speed along the highway is assumed to be faster than that off the…

Computational Geometry · Computer Science 2013-05-01 Bang-Sin Dai , Mong-Jen Kao , D. T. Lee

In the literature, there have been several methods and definitions for working out if two theories are "equivalent" (essentially the same) or not. In this article, we do something subtler. We provide means to measure distances (and explore…

Logic · Mathematics 2020-08-12 Michèle Friend , Mohamed Khaled , Koen Lefever , Gergely Székely

Erd\H{o}s and Fishburn studied the maximum number of points in the plane that span $k$ distances and classified these configurations, as an inverse problem of the Erd\H{o}s distinct distances problem. We consider the analogous problem for…

Combinatorics · Mathematics 2024-05-14 Eyvindur A. Palsson , Edward Yu

An $m$-distance set is a collection of points such that the distances between any two points have $m$ possible values. We use two different methods to construct large $m$-distance sets on the triangular lattices. One is to use the first m…

Combinatorics · Mathematics 2025-09-03 Li-Ren Bao , Wei-Hsuan Yu

Mixed-integer linear programming (MILP) is a powerful tool for addressing a wide range of real-world problems, but it lacks a clear structure for comparing instances. A reliable similarity metric could establish meaningful relationships…

Machine Learning · Computer Science 2025-07-16 Gwen Maudet , Grégoire Danoy

L^p spaces of mappings taking values in arbitrary metric spaces, which we call nonlinear Lebesgue spaces, play an important role in several fields of mathematics. For instance, membership in these spaces is typically required for transport…

Functional Analysis · Mathematics 2026-03-10 Guillaume Sérieys , Alain Trouvé

Two averaging algorithms are considered which are intended for choosing an optimal plane and an optimal circle approximating a group of points in three-dimensional Euclidean space.

Computational Geometry · Computer Science 2007-05-23 Ruslan Sharipov

Let $\mathbb{F}_p$ be a prime field, and ${\mathcal E}$ a set in $\mathbb{F}_p^2$. Let $\Delta({\mathcal E})=\{||x-y||: x,y \in {\mathcal E} \}$, the distance set of ${\mathcal E}$. In this paper, we provide a quantitative connection…

Combinatorics · Mathematics 2019-05-13 Alex Iosevich , Doowon Koh , Thang Pham

We give a shorter proof of a slightly weaker version of a theorem of Nets Katz and the author. We prove that if a set of $L$ lines in $\mathbb{R}^3$ contains at most $L^{1/2}$ lines in any low degree algebraic surface, then the number of…

Combinatorics · Mathematics 2014-11-12 Larry Guth

Limit can be defined by two axioms: 1. Strict inequality between limits implies, ultimately, strict inequality between functions. 2. For constant functions limit is trivial. How can basic results on convergence be derived from these axioms?…

History and Overview · Mathematics 2008-05-26 Bogdan M. Baishanski

The goal of Point Distance Solving Problems is to find 2D or 3D placements of points knowing distances between some pairs of points. The common guideline is to solve them by a numerical iterative method (\emph{e.g.} Newton-Raphson method).…

Computational Geometry · Computer Science 2016-07-27 Rémi Imbach , Pascal Mathis , Pascal Schreck

In this paper, an idea of the cutting plane method is employed to improve the fractional distance of a given binary parity check matrix. The fractional distance is the minimum weight (with respect to l1-distance) of vertices of the…

Information Theory · Computer Science 2008-07-18 Makoto Miwa , Tadashi Wadayama , Ichi Takumi