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This paper presents a complete classification of minimal graph surfaces that admit graphical transformations into other minimal surfaces. These transformations are functions that map the height function of a minimal graph surface to another…

Differential Geometry · Mathematics 2026-01-26 Sam K Mathew

We develop a new technique for constructing sparse graphs that allow us to prove near-linear lower bounds on the round complexity of computing distances in the CONGEST model. Specifically, we show an $\widetilde{\Omega}(n)$ lower bound for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-18 Amir Abboud , Keren Censor-Hillel , Seri Khoury

We prove better lower bounds on additive spanners and emulators, which are lossy compression schemes for undirected graphs, as well as lower bounds on shortcut sets, which reduce the diameter of directed graphs. We show that any $O(n)$-size…

Data Structures and Algorithms · Computer Science 2019-07-23 Shang-En Huang , Seth Pettie

For an input graph $G$, an additive spanner is a sparse subgraph $H$ whose shortest paths match those of $G$ up to small additive error. We prove two new lower bounds in the area of additive spanners: 1) We construct $n$-node graphs $G$ for…

Data Structures and Algorithms · Computer Science 2022-10-07 Greg Bodwin , Gary Hoppenworth

Electronic band structure for electrons bound on periodic minimal surfaces is differential-geometrically formulated and numerically calculated. We focus on minimal surfaces because they are not only mathematically elegant (with the surface…

Materials Science · Physics 2009-11-07 H. Aoki , M. Koshino , D. Takeda , H. Morise

We prove that in every metric space where no line contains all the points, there are at least $\Omega(n^{2/3})$ lines. This improves the previous $\Omega(\sqrt{n})$ lower bound on the number of lines in general metric space, and also…

Combinatorics · Mathematics 2024-12-10 Congkai Huang

In this paper we describe a physical problem, based on electromagnetic fields, whose topological constraints are higher dimensional versions of Kirchhoff's laws, involving $2-$ simplicial complexes embedded in $\mathbb{R} ^3$ rather than…

Combinatorics · Mathematics 2017-11-17 Hariharan Narayanan , H. Narayanan

In the Steiner point removal (SPR) problem, we are given a (weighted) graph $G$ and a subset $T$ of its vertices called terminals, and the goal is to compute a (weighted) graph $H$ on $T$ that is a minor of $G$, such that the distance…

Data Structures and Algorithms · Computer Science 2023-10-13 Yu Chen , Zihan Tan

We prove new explicit inapproximability results for the Vertex Cover Problem on the Power Law Graphs and some functional generalizations of that class of graphs. Our results depend on special bounded degree amplifier constructions for those…

Computational Complexity · Computer Science 2012-10-10 Mikael Gast , Mathias Hauptmann , Marek Karpinski

We study the broken ray transform on $n$-dimensional Euclidean domains where the reflecting parts of the boundary are flat and establish injectivity and stability under certain conditions. Given a subset $E$ of the boundary $\partial…

Analysis of PDEs · Mathematics 2016-07-28 Mark Hubenthal

We give a series of new lower bounds on the minimum number of vertices required by a graph to contain every graph of a given family as induced subgraph. In particular, we show that this induced-universal graph for $n$-vertex planar graphs…

Combinatorics · Mathematics 2025-08-18 Cyril Gavoille , Amaury Jacques

We consider the problem of finding lower bounds on the I/O complexity of arbitrary computations in a two level memory hierarchy. Executions of complex computations can be formalized as an evaluation order over the underlying computation…

Data Structures and Algorithms · Computer Science 2020-05-26 Saachi Jain , Matei Zaharia

Given an undirected, edge-weighted graph G together with pairs of vertices, called pairs of terminals, the minimum multicut problem asks for a minimum-weight set of edges such that, after deleting these edges, the two terminals of each pair…

Data Structures and Algorithms · Computer Science 2016-11-24 Éric Colin de Verdière

Given a graph where vertices are partitioned into $k$ terminals and non-terminals, the goal is to compress the graph (i.e., reduce the number of non-terminals) using minor operations while preserving terminal distances approximately.The…

Data Structures and Algorithms · Computer Science 2016-12-30 Yun Kuen Cheung , Gramoz Goranci , Monika Henzinger

Garnero et al. [SIAM J. Discrete Math. 2015, 29(4):1864--1894] recently introduced a framework based on dynamic programming to make applications of the protrusion replacement technique constructive and to obtain explicit upper bounds on the…

Data Structures and Algorithms · Computer Science 2016-09-30 Bart M. P. Jansen , Jules J. H. M. Wulms

A drawing in the plane ($\mathbb{R}^2$) of a graph $G=(V,E)$ equipped with a function $\gamma: V \rightarrow \mathbb{N}$ is \emph{$x$-bounded} if (i) $x(u) <x(v)$ whenever $\gamma(u)<\gamma(v)$ and (ii) $\gamma(u)\leq\gamma(w)\leq…

Computational Geometry · Computer Science 2016-10-25 Radoslav Fulek

We obtain a lower bound on each entry of the principal eigenvector of a non-regular connected graph.

Combinatorics · Mathematics 2014-03-11 Felix Goldberg

We present the first algorithm to morph graphs on the torus. Given two isotopic essentially 3-connected embeddings of the same graph on the Euclidean flat torus, where the edges in both drawings are geodesics, our algorithm computes a…

Computational Geometry · Computer Science 2020-07-17 Erin Wolf Chambers , Jeff Erickson , Patrick Lin , Salman Parsa

In this work, we study how far one can deviate from optimal behavior when embedding a planar graph. For a planar graph $G$, we say that a plane subgraph $H\subseteq G$ is a \textit{plane-saturated subgraph} if adding any edge (possibly with…

Combinatorics · Mathematics 2024-03-06 Alexander Clifton , Nika Salia

Let $G$ be a graph of order $n$ with eigenvalues $\lambda_1 \geq \cdots \geq\lambda_n$. Let \[s^+(G)=\sum_{\lambda_i>0} \lambda_i^2, \qquad s^-(G)=\sum_{\lambda_i<0} \lambda_i^2.\] The smaller value, $s(G)=\min\{s^+(G), s^-(G)\}$ is called…

Combinatorics · Mathematics 2024-09-30 Saieed Akbari , Hitesh Kumar , Bojan Mohar , Shivaramakrishna Pragada