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Let $S_g$ denote a closed, orientable surface of genus $g \geq 2$ and $\mathcal{C}(S_g)$ be the associated curve complex. The mapping class group of $S_g$, $Mod(S_g)$ acts on $\mathcal{C}(S_g)$ by isometries. Since Dehn twists about certain…

Geometric Topology · Mathematics 2023-11-07 Kuwari Mahanta , Sreekrishna Palaparthi

For the complex of curves of a closed orientable surface of genus $g$, $\mathcal{C}(S_{g>1})$, the notion of efficient geodesic in was introduced in arXiv:1408.4133. There it was established that there always exists (finitely many)…

Geometric Topology · Mathematics 2022-07-14 Hong Chang

We show that efficient geodesics have the strong property of "super efficiency". For any two vertices, $v , w \in \mathcal{C}(S_g)$, in the complex of curves of a closed oriented surface of genus $g \geq 2 $, and any efficient geodesic, $v…

Geometric Topology · Mathematics 2023-05-24 Xifeng Jin , William W. Menasco

In the complex of curves of a closed orientable surface of genus $g,$ $\mathcal{C}(S_g),$ a preferred finite set of geodesics between any two vertices, called \emph{efficient geodesics} introduced by Birman, Margalit, and Menasco in…

Geometric Topology · Mathematics 2024-09-18 Seth Hovland , Greg Vinal

In this work, we study the cellular decomposition of $S$ induced by a filling pair of curves $v$ and $w$, $Dec_{v,w}(S) = S - (v \cup w)$, and its connection to the distance function $d(v,w)$ in the curve graph of a closed orientable…

Geometric Topology · Mathematics 2021-06-28 Joan S. Birman , Matthew J. Morse , Nancy C. Wrinkle

We give an algorithm for determining the distance between two vertices of the complex of curves. While there already exist such algorithms, for example by Leasure, Shackleton, and Webb, our approach is new, simple, and more effective for…

Geometric Topology · Mathematics 2015-05-13 Joan Birman , Dan Margalit , William Menasco

Computing the minimum distance of a linear code is one of the fundamental problems in algorithmic coding theory. Vardy [14] showed that it is an \np-hard problem for general linear codes. In practice, one often uses codes with additional…

Information Theory · Computer Science 2015-01-08 Jiyou Li , Daqing Wan , Jun Zhang

Let $S$ be an oriented surface of type $(g, n)$. We are interested in geodesics in the curve complex $\mathcal C(S)$ of $S$. In general, two $0$-simplexes in $\mathcal C(S)$ have infinitely many geodesics connecting the two simplexes while…

Geometric Topology · Mathematics 2025-07-01 Ryo Matsuda , Kanako Oie , Hiroshige Shiga

Given two simplicial complexes in R^d, and start and end vertices in each complex, we show how to compute curves (in each complex) between these vertices, such that the Fr\'echet distance between these curves is minimized. As a polygonal…

Computational Geometry · Computer Science 2012-02-28 Sariel Har-Peled , Benjamin Raichel

Manifolds discovered by machine learning models provide a compact representation of the underlying data. Geodesics on these manifolds define locally length-minimising curves and provide a notion of distance, which are key for reduced-order…

Machine Learning · Computer Science 2023-05-25 Daniel Kelshaw , Luca Magri

We give an accessible introduction and elaboration on the methods used in obtaining a geodesic, which is the curve of shortest length connecting two points lying on the surface of a function. This is found through computing what's known as…

Functional Analysis · Mathematics 2020-10-21 Andrew R. Tawfeek

Let $S_g$ denote a closed, orientable surface of genus $g \geq 2$ and $\mathcal{C}(S_g)$ be the associated curve graph. Let $d$ be the path metric on $\mathcal{C}(S_g)$ and $a_0$ and $a_4$ be a pair of curves on $S_g$ with $d(a_0, a_4) =…

Geometric Topology · Mathematics 2023-08-04 Kuwari Mahanta

Let $G=(V,E)$ be a connected graph, let $v\in V$ be a vertex and let $e=uw\in E$ be an edge. The distance between the vertex $v$ and the edge $e$ is given by $d_G(e,v)=\min\{d_G(u,v),d_G(w,v)\}$. A vertex $w\in V$ distinguishes two edges…

Combinatorics · Mathematics 2016-02-02 Aleksander Kelenc , Niko Tratnik , Ismael G. Yero

A classical inequality which is due to Lickorish and Hempel says that the distance between two curves in the curve complex can be measured by their intersection number. In this paper, we show a converse version; the intersection number of…

Geometric Topology · Mathematics 2016-04-27 Yohsuke Watanabe

We study the minimum number of distinct distances between point sets on two curves in $R^3$. Assume that one curve contains $m$ points and the other $n$ points. Our main results: (a) When the curves are conic sections, we characterize all…

Combinatorics · Mathematics 2023-03-21 Toby Aldape , Jingyi Liu , Gregory Pylypovych , Adam Sheffer , Minh-Quan Vo

Given a graph $G=(V,E)$, a set $S\subseteq V$ is said to be a monitoring edge-geodetic set if the deletion of any edge in the graph results in a change in the distance between at least one pair of vertices in $S$. The minimum size of such a…

Combinatorics · Mathematics 2025-03-11 Florent Foucaud , Arti Pandey , Kaustav Paul

We propose a geometric method for quantifying the difference between parametrized curves in Euclidean space by introducing a distance function on the space of parametrized curves up to rigid transformations (rotations and translations).…

Differential Geometry · Mathematics 2014-09-12 Jaap Eldering , Joris Vankerschaver

A monitoring edge-geodetic set (or meg-set for short) of a graph is a set of vertices $M$ such that if any edge is removed, then the distance between some two vertices of $M$ increases. This notion was introduced by Foucaud et al. in 2023…

Discrete Mathematics · Computer Science 2026-04-09 Clara Marcille , Nacim Oijid

We study approximating the continuous Fr\'echet distance of two curves with complexity $n$ and $m$, under the assumption that only one of the two curves is $c$-packed. Driemel, Har{-}Peled and Wenk DCG'12 studied Fr\'echet distance…

Computational Geometry · Computer Science 2025-12-23 Jacobus Conradi , Ivor van der Hoog , Thijs van der Horst , Tim Ophelders

Many statistical and machine learning approaches rely on pairwise distances between data points. The choice of distance metric has a fundamental impact on performance of these procedures, raising questions about how to appropriately…

Statistics Theory · Mathematics 2020-04-20 Didong Li , David B Dunson
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