Who Needs Crossings? Hardness of Plane Graph Rigidity
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The Unit Distance Graph Problem and Equivalence Relations
Math/CCS 103 Professor: Padraic Bartlett Lecture 11: The Unit Distance Graph Week 8 UCSB 2014 (Source: \The Mathematical Coloring Book," by Alexander Soifer.) 1 The Unit Distance Graph Problem 2 Definition. Consider the following method for turning R into a graph: 2 • Vertices: all points in R . • Edges: connect any two points (a; b) and (c; d) iff the distance between them is exactly 1. This graph is called the unit distance graph. Visualizing this is kinda tricky | it's got an absolutely insane number of vertices and edges. However, we can ask a question about it: Question. How many colors do we need in order to create a proper coloring of the unit distance graph? So: the answer isn't immediately obvious (right?) Instead, what we're going to try to do is just bound the possible answers, to get an idea of what the answers might be. How can we even bound such a thing? Well: to get a lower bound, it suffices to consider finite graphs G that we can draw in the plane using only straight edges of length 1. Because 2 our graph on R must contain any such graph \inside" of itself, examining these graphs will give us some easy lower bounds! So, by examining a equilateral triangle T , which has χ(T ) = 3, we can see that 2 χ(R ) ≥ 3: This is because it takes three colors to color an equilateral triangle's vertices in such a way that no edge has two endpoints of the same color. Similarly, by examining the following pentagonal construction (called a Moser spindle,) 1 we can actually do one better and say that 2 χ(R ) ≥ 4: Verify for yourself that you can't color this graph with three colors! 2 Conversely: to exhibit an upper bound on χ(R ) of k, it suffices to create a way of \painting" the plane with k-colors in such a way that no two points distance 1 apart get the same color. -
SAT Approach for Decomposition Methods
SAT Approach for Decomposition Methods DISSERTATION submitted in partial fulfillment of the requirements for the degree of Doktorin der Technischen Wissenschaften by M.Sc. Neha Lodha Registration Number 01428755 to the Faculty of Informatics at the TU Wien Advisor: Prof. Stefan Szeider Second advisor: Prof. Armin Biere The dissertation has been reviewed by: Daniel Le Berre Marijn J. H. Heule Vienna, 31st October, 2018 Neha Lodha Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.ac.at Erklärung zur Verfassung der Arbeit M.Sc. Neha Lodha Favoritenstrasse 9, 1040 Wien Hiermit erkläre ich, dass ich diese Arbeit selbständig verfasst habe, dass ich die verwen- deten Quellen und Hilfsmittel vollständig angegeben habe und dass ich die Stellen der Arbeit – einschließlich Tabellen, Karten und Abbildungen –, die anderen Werken oder dem Internet im Wortlaut oder dem Sinn nach entnommen sind, auf jeden Fall unter Angabe der Quelle als Entlehnung kenntlich gemacht habe. Wien, 31. Oktober 2018 Neha Lodha iii Acknowledgements First and foremost, I would like to thank my advisor Prof. Stefan Szeider for guiding me through my journey as a Ph.D. student with his patience, constant motivation, and immense knowledge. His guidance helped me during the time of research and writing of this thesis. I could not have imagined having a better advisor and mentor. Next, I would like to thank my co-advisor Prof. Armin Biere, my reviewers, Prof. Daniel Le Berre and Dr. Marijn Heule, and my Ph.D. committee, Prof. Reinhard Pichler and Prof. Florian Zuleger, for their insightful comments, encouragement, and patience. -
Eindhoven University of Technology BACHELOR on the K-Independent
Eindhoven University of Technology BACHELOR On the k-Independent Set Problem Koerts, Hidde O. Award date: 2021 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain On the k-Independent Set Problem Hidde Koerts Supervised by Aida Abiad February 1, 2021 Hidde Koerts Supervised by Aida Abiad Abstract In this thesis, we study several open problems related to the k-independence num- ber, which is defined as the maximum size of a set of vertices at pairwise dis- tance greater than k (or alternatively, as the independence number of the k-th graph power). Firstly, we extend the definitions of vertex covers and cliques to allow for natural extensions of the equivalencies between independent sets, ver- tex covers, and cliques. -
A Proof of Tomescu's Graph Coloring Conjecture
A proof of Tomescu’s graph coloring conjecture Jacob Fox,∗ Xiaoyu He,† Freddie Manners‡ October 23, 2018 Abstract In 1971, Tomescu conjectured that every connected graph G on n vertices with chromatic number n−k k ≥ 4 has at most k!(k − 1) proper k-colorings. Recently, Knox and Mohar proved Tomescu’s conjecture for k = 4 and k = 5. In this paper, we complete the proof of Tomescu’s conjecture for all k ≥ 4, and show that equality occurs if and only if G is a k-clique with trees attached to each vertex. 1 Introduction Let k be a positive integer and G = (V, E) be a graph1.A proper k-coloring, or simply a k-coloring, of G is a function c : V → [k] (here [k] = {1, . , k}) such that c(u) 6= c(v) whenever uv ∈ E. The chromatic number χ(G) is the minimum k for which there exists a k-coloring of G. Let PG(k) denote the number of k-colorings of G. This function is a polynomial in k and is thus called the chromatic polynomial of G. In 1912, Birkhoff [5] introduced the chromatic polynomial for planar graphs in an attempt to solve the Four Color Problem using tools from analysis. The chromatic polynomial was later defined and studied for general graphs by Whitney [41]. Despite a great deal of attention over the past century, our understanding of the chromatic polynomial is still quite poor. In particular, proving general bounds on the chromatic polynomial remains a major challenge. The first result of this type, due to Birkhoff [6], states that n−3 PG(k) ≥ k(k − 1)(k − 2)(k − 3) for any planar graph G on n vertices and any real number k ≥ 5. -
Toward a Unit Distance Embedding for the Heawood Graph
Toward a Unit Distance Embedding for the Heawood graph Mitchell A. Harris1 Harvard Medical School Department of Radiology Boston, MA 02114, USA [email protected] Abstract. The unit distance embeddability of a graph, like planarity, involves a mix of constraints that are combinatorial and geometric. We construct a unit distance embedding for H − e in the hope that it will lead to an embedding for H. We then investigate analytical methods for a general decision procedure for testing unit distance embeddability. 1 Introduction Unit distance embedding of a graph is an assignment of coordinates in the plane to the vertices of a graph such that if there is an edge between two vertices, then their respective coordinates are exactly distance 1 apart. To bar trivial embed- dings, such as for bipartite graphs having all nodes in one part located at (0, 0), for the other part at (0, 1), it is also required that the embedded points be dis- tinct. There is no restriction on edge crossing. A graph is said to be unit distance embeddable if there exists such an embedding (with the obvious abbreviations arXiv:0711.1157v1 [math.CO] 7 Nov 2007 employed, such as UD embeddable, a UDG, etc). For some well-known examples, K4 is not UDG but K4 e is. The Moser spindle is UDG, and is also 4 colorable [5], giving the largest− currently known lower bound to the Erd¨os colorability of the plane [3]. The graph K2,3 is not be- cause from two given points in the plane there are exactly two points of distance 1, but the graph wants three; removing any edge allows a UD embedding. -
SZAKDOLGOZAT Probabilistic Formulation of the Hadwiger
SZAKDOLGOZAT Probabilistic formulation of the Hadwiger–Nelson problem Péter Ágoston MSc in Mathematics Supervisor: Dömötör Pálvölgyi assistant professor ELTE TTK Institute of Mathematics Department of Computer Science ELTE 2019 Contents Introduction 3 1 Unit distance graphs 5 1.1 Introduction . .5 1.2 Upper bound on the number of edges . .6 2 (1; d)-graphs 22 3 The chromatic number of the plane 27 3.1 Introduction . 27 3.2 Upper bound . 27 3.3 Lower bound . 28 4 The probabilistic formulation of the Hadwiger–Nelson problem 29 4.1 Introduction . 29 4.2 Upper bounds . 30 4.3 Lower bounds . 32 5 Related problems 39 5.1 Spheres . 39 5.2 Other dimensions . 41 Bibliography 43 2 Introduction In 1950, Edward Nelson posed the question of determining the chromatic number of the graph on the plane formed by its points as vertices and having edges between the pairs of points with distance 1, which is now simply known as the chromatic number of the plane. It soon became obvious that at least 4 colours are needed, which can be easily seen thanks to a graph with 7 vertices, the so called Moser spindle, found by William and Leo Moser. There is also a relatively simple colouring by John R. Isbell, which shows that the chromatic number is at most 7. And despite the simplicity of the bounds, these remained the strongest ones until 2018, when biologist Aubrey de Grey found a subgraph which was not colourable with 4 colours. This meant that the chromatic number of the plane is at least 5. -
Constructing 5-Chromatic Unit Distance Graphs Embedded in the Euclidean Plane and Two-Dimensional Spheres
Constructing 5-chromatic unit distance graphs embedded in the Euclidean plane and two-dimensional spheres V.A. Voronov,∗ A.M. Neopryatnaya,† E.A. Dergachev‡ [email protected] June 24, 2021 Abstract This paper is devoted to the development of algorithms for finding unit distance graphs with chromatic number greater than 4, embedded in a two-dimensional sphere or plane. Such graphs provide a lower bound for the Nelson–Hadwiger problem on the chromatic number of the plane and its generalizations to the case of the sphere. A series of 5-chromatic unit distance graphs on 64513 vertices embedded into the plane is constructed. Unlike previously known examples, these graphs do not contain the Moser spindle as a subgraph. The construction of 5-chromatic graphs embedded in a sphere at two values of the radius is given. Namely, the 5-chromatic unit distance graph on 372 vertices embedded into the circumsphere of an icosahedron with a unit edge length, and the 5-chromatic graph on 972 vertices embedded into the circumsphere of a great icosahedron are constructed. 1 Introduction This paper is devoted to one of the questions related to the Nelson–Hadwiger problem on the chromatic number of the plane [15, 36], namely the development of algorithms that allow constructing new examples of 5-chromatic unit distance graphs embedded in a plane or a sphere, based on a given 4-chromatic unit distance subgraph. The chromatic number of a subset of the Euclidean space X ⊆ Rn is the minimum number of colors needed to color X, so that the points u, v at a unit distance apart are arXiv:2106.11824v2 [math.CO] 23 Jun 2021 colored differently, i.e. -
Chromatic Number of Euclidean Plane
Chromatic number of Euclidean plane Kai-Rui Wang ∗ Abstract: If the chromaticnumber of Euclidean planeis largerthan four, but it is known that the chromatic number of planar graphs is equal to four, then how does one explain it? In my opinion, they are contradictory to each other. This idea leads to confirm the chromatic number of the plane about its exact value. Mathematics Subject Classification (2010): 05C10, 05C55, 05D10. Keywords: Euclidean plane; Finite unit distance graphs; The chromatic number of the plane. 1 Introduction One of the most interesting unsolved problems in geometric graph theory or Euclidean Ramsey theory is as below: How many colors are needed to color the plane so that no two points at unit dis- tance are the same color? which is also called the Hadwiger-Nelson problem, named after Hugo Hadwiger and Edward Nelson.[1,2,3] As for the age of the emergence of it, according to Jensen and Toft’s investigation (1995),[4] the problem was first formulated by E. Nelson in 1950, and first published by Gardner in 1960.[3] Hadwiger in 1945 published a related result,[1] showing that any cover of the plane by five congruent closed sets contains a unit distance in one of the sets, and he also mentioned the problem in a later paper (Hadwiger 1961).[2] A. Soifer (2003,2008,2011) discusses the problem and its origin extensively.[5−8] Although the answer of this problem is unknown,it has been narrowed down to one of the numbers 4, 5, 6 or 7. The lower bound of four follows from a seven-vertex unit arXiv:1507.00025v1 [math.GM] 1 Jul 2015 distance graph with chromatic number four discovered by brothers William and Leo Moser in 1961,[9] named the Moser spindle. -
(V, E ) Be a Graph and Let F Be a Function That Assigns to Each Vertex of F:V(G) → {1,2,.....K} Such That for V to a Set of Values from the Set {1,2
BALANCED DOMINATION NUMBER OF SPECIAL GRAPHS 1S.CHRISTILDA and 2P.NAMASIVAYAM 1Department of Mathematics, Sadakathullah Appa College, Tirunelveli – 627011, Tamil Nadu, INDIA. E-mail: [email protected] 2PG and Research Department of Mathematics, The MDT Hindu College, Tirunelveli – 627010, Tamil Nadu, INDIA. ABSTRACT INTRODUCTION Let G= (V, E) be a graph. A Subset D of V is called a dominating Let G = (V, E ) be a graph and let f set of G if every vertex in V-D is be a function that assigns to each adjacent to atleast one vertex in D. The Domination number γ (G) of G is the vertex of V to a set of values from cardinality of the minimum dominating set of G. Let the set {1,2,.......k} that is, G = (V, E ) be a graph and let f be a function that assigns to each vertex of f:V(G) → {1,2,.....k} such that for V to a set of values from the set {1,2,.......k} that is, f:V(G) → each u,v ϵ V(G), f(u)≠f(v), if u is {1,2,.....k} such that for each u,v V(G), f(u) ≠ f(v), if u is adjacent to v in adjacent to v in G. Then the set D G. Then the dominating set D V (G) V (G) is called a balanced is called a balanced dominating set if In this dominating set if paper, we investigate the balanced domination number for some special graphs. Keywords: balanced, domination, The special graph balanced domination number Mathematics subject classification: 05C69 is the minimum cardinality of the balanced weak balanced dominating set dominating set. -
Fractional Refinements of Integral Theorems
Fractional refinements of integral theorems by Benjamin Richard Moore A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Combinatorics and Optimization Waterloo, Ontario, Canada, 2021 © Benjamin Richard Moore 2021 Examining Committee Membership The following served on the Examining Committee for this thesis. The decision of the Examining Committee is by majority vote. External Examiner: Gary MacGillivray Professor, Dept. of Mathematics and Statistics, University of Victoria Supervisor: Luke Postle Professor, Dept. of Combinatorics and Optimization, University of Waterloo Internal Member: Sophie Spirkl Professor, Dept. of Combinatorics and Optimization, University of Waterloo Internal Member: Bertrand Guenin Professor, Dept. of Combinatorics and Optimization, University of Waterloo Internal-External Member: Ross Willard Professor, Dept. of Pure Mathematics, University of Waterloo ii Author's Declaration This thesis consists of material all of which I authored or co-authored: see Statement of Contributions included in the thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. iii Statement of Contributions This thesis contains joint work with Logan Grout, Evelyne Smith-Roberge, Richard Brewster, and Douglas B. West. In particular, Chapter 2 is based on work with Logan Grout, Chapter 3 and 4 is based on work with Evelyne Smith Roberge, Chapter 6 is based on work with Richard Brewster, and Chapter 7 is based on work with Douglas B. West. iv Abstract The focus of this thesis is to take theorems which deal with \integral" objects in graph theory and consider fractional refinements of them to gain additional structure. -
Dear Combinatorialists, the Colloquium on Combinatorics Was Established in 1981 and Has Since Been Held Annually in Seven Cities Throughout Germany
COLLOQUIUM ON COMBINATORICS — 04/05 NOVEMBER 2016 DISCRETE MATHEMATICS —PADERBORN UNIVERSITY Dear combinatorialists, the Colloquium on Combinatorics was established in 1981 and has since been held annually in seven cities throughout Germany. It has grown to an established confe- rence that covers all areas of Combinatorics and Discrete Mathematics in a broad sense, including combinatorial aspects in Algebra, Geometry, Optimization and Computer Science. It is our great pleasure to host the 35th Colloquium on Combinatorics for the first time in Paderborn. This year we welcome 70 participants. The program includes 45 contributed talks, organised in three parallel sessions, and five invited talks on a broad range of combinatorial topics. Please note that we have allocated 25-minute slots for the contributed talks, which includes 20 minutes for the presentation, two minutes for discussion, and three mi- nutes for room change. We sincerely thank our sponsors Paderborn University, the Collaborative Research Centre (Sonderforschungsbereich 901) On-the-fly computing, and Lynx Consulting for their technical and financial support. We hope you enjoy the conference. Kai-Uwe Schmidt Eckhard Steffen COLLOQUIUM ON COMBINATORICS — 04/05 NOVEMBER 2016 DISCRETE MATHEMATICS —PADERBORN UNIVERSITY All talks will be in Building-O on the Main Campus Invited talks : Room A Contributed talks : Rooms A, B, D Conference office : Room C Coffee and snacks : Foyer Library : Building-BI on the main campus The conference office is open on Friday from 8:00 to 18:00 and on Saturday from 8:00 to 17:00. The library is open on Friday from 7:30 to 24:00 and on Saturday from 9:00 to 21:00. -
Network Algorithms Tutorial 2: Trees Christian Rieck—May 03, 2018 Minimum Spanning Tree
Institute of Operating Systems and Computer Networks Algorithms Group Network Algorithms Tutorial 2: Trees Christian Rieck—May 03, 2018 Minimum Spanning Tree Network Algorithms—Tutorial 2: Trees 2 May 03, 2018 Minimum Spanning Tree if there is more than one possible edge, choose the one with the v0,v2 =9 { } smallest concatenated index… v0,v5 =11 { } v2 v0,v8 =9 { } v v v1,v2 =5 1 3 { } v1,v6 =3 { } v1,v9 =7 { } v ,v =5 v9 v 2 3 v 4 { } 0 v3,v4 =5 { } v3,v7 =3 { } v4,v5 =13 v8 v5 { } v4,v9 =5 { } v5,v6 =17 { } v v v6,v7 =2 7 6 { } v7,v8 =9 { } v8,v9 =7 { } Network Algorithms—Tutorial 2: Trees 3 May 03, 2018 Kruskal v0,v2 =9 { } v0,v5 =11 { } v2 v0,v8 =9 4 { } v 5 v v1,v2 =5 1 3 { } 10 v1,v6 =3 8 3 { } 6 v1,v9 =7 { } v ,v =5 v9 v 2 3 v 7 4 { } 0 v3,v4 =5 { } 9 v3,v7 =3 13 { } 11 v4,v5 =13 v8 v5 { } 2 v4,v9 =5 { } 12 v5,v6 =17 { } v7 1 v6 v6,v7 =2 { } v7,v8 =9 { } v8,v9 =7 { } Network Algorithms—Tutorial 2: Trees 4 May 03, 2018 Path compression …after finding the root r of the tree containing x, change the parent pointer of all nodes along the path to point directly to r… r r z x z y T0 y T3 T1 x T1 T2 T2 before path-compression after path-compression With path compression, the union-find data structure provides near- constant-time operations bounded by the inverse Ackermann function.