COLORING GRAPHS USING TOPOLOGY 11 Realized by Tutte Who Called an Example of a Disc G for Which the Boundary Has Chromatic Number 4 a Chromatic Obstacle
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Decomposition of Wheel Graphs Into Stars, Cycles and Paths
Malaya Journal of Matematik, Vol. 9, No. 1, 456-460, 2021 https://doi.org/10.26637/MJM0901/0076 Decomposition of wheel graphs into stars, cycles and paths M. Subbulakshmi1 and I. Valliammal2* Abstract Let G = (V;E) be a finite graph with n vertices. The Wheel graph Wn is a graph with vertex set fv0;v1;v2;:::;vng and edge-set consisting of all edges of the form vivi+1 and v0vi where 1 ≤ i ≤ n, the subscripts being reduced modulo n. Wheel graph of (n + 1) vertices denoted by Wn. Decomposition of Wheel graph denoted by D(Wn). A star with 3 edges is called a claw S3. In this paper, we show that any Wheel graph can be decomposed into following ways. 8 (n − 2d)S ; d = 1;2;3;::: if n ≡ 0 (mod 6) > 3 > >[(n − 2d) − 1]S3 and P3; d = 1;2;3::: if n ≡ 1 (mod 6) > <[(n − 2d) − 1]S3 and P2; d = 1;2;3;::: if n ≡ 2 (mod 6) D(Wn) = . (n − 2d)S and C ; d = 1;2;3;::: if n ≡ 3 (mod 6) > 3 3 > >(n − 2d)S3 and P3; d = 1;2;3::: if n ≡ 4 (mod 6) > :(n − 2d)S3 and P2; d = 1;2;3;::: if n ≡ 5 (mod 6) Keywords Wheel Graph, Decomposition, claw. AMS Subject Classification 05C70. 1Department of Mathematics, G.V.N. College, Kovilpatti, Thoothukudi-628502, Tamil Nadu, India. 2Department of Mathematics, Manonmaniam Sundaranar University, Tirunelveli-627012, Tamil Nadu, India. *Corresponding author: [email protected]; [email protected] Article History: Received 01 November 2020; Accepted 30 January 2021 c 2021 MJM. -
Additive Non-Approximability of Chromatic Number in Proper Minor
Additive non-approximability of chromatic number in proper minor-closed classes Zdenˇek Dvoˇr´ak∗ Ken-ichi Kawarabayashi† Abstract Robin Thomas asked whether for every proper minor-closed class , there exists a polynomial-time algorithm approximating the chro- G matic number of graphs from up to a constant additive error inde- G pendent on the class . We show this is not the case: unless P = NP, G for every integer k 1, there is no polynomial-time algorithm to color ≥ a K -minor-free graph G using at most χ(G)+ k 1 colors. More 4k+1 − generally, for every k 1 and 1 β 4/3, there is no polynomial- ≥ ≤ ≤ time algorithm to color a K4k+1-minor-free graph G using less than βχ(G)+(4 3β)k colors. As far as we know, this is the first non-trivial − non-approximability result regarding the chromatic number in proper minor-closed classes. We also give somewhat weaker non-approximability bound for K4k+1- minor-free graphs with no cliques of size 4. On the positive side, we present additive approximation algorithm whose error depends on the apex number of the forbidden minor, and an algorithm with addi- tive error 6 under the additional assumption that the graph has no 4-cycles. arXiv:1707.03888v1 [cs.DM] 12 Jul 2017 The problem of determining the chromatic number, or even of just de- ciding whether a graph is colorable using a fixed number c 3 of colors, is NP-complete [7], and thus it cannot be solved in polynomial≥ time un- less P = NP. -
An Update on the Four-Color Theorem Robin Thomas
thomas.qxp 6/11/98 4:10 PM Page 848 An Update on the Four-Color Theorem Robin Thomas very planar map of connected countries the five-color theorem (Theorem 2 below) and can be colored using four colors in such discovered what became known as Kempe chains, a way that countries with a common and Tait found an equivalent formulation of the boundary segment (not just a point) re- Four-Color Theorem in terms of edge 3-coloring, ceive different colors. It is amazing that stated here as Theorem 3. Esuch a simply stated result resisted proof for one The next major contribution came in 1913 from and a quarter centuries, and even today it is not G. D. Birkhoff, whose work allowed Franklin to yet fully understood. In this article I concentrate prove in 1922 that the four-color conjecture is on recent developments: equivalent formulations, true for maps with at most twenty-five regions. The a new proof, and progress on some generalizations. same method was used by other mathematicians to make progress on the four-color problem. Im- Brief History portant here is the work by Heesch, who developed The Four-Color Problem dates back to 1852 when the two main ingredients needed for the ultimate Francis Guthrie, while trying to color the map of proof—“reducibility” and “discharging”. While the the counties of England, noticed that four colors concept of reducibility was studied by other re- sufficed. He asked his brother Frederick if it was searchers as well, the idea of discharging, crucial true that any map can be colored using four col- for the unavoidability part of the proof, is due to ors in such a way that adjacent regions (i.e., those Heesch, and he also conjectured that a suitable de- sharing a common boundary segment, not just a velopment of this method would solve the Four- point) receive different colors. -
Representing Graphs by Polygons with Edge Contacts in 3D
Representing Graphs by Polygons with Side Contacts in 3D∗ Elena Arseneva1, Linda Kleist2, Boris Klemz3, Maarten Löffler4, André Schulz5, Birgit Vogtenhuber6, and Alexander Wolff7 1 Saint Petersburg State University, Russia [email protected] 2 Technische Universität Braunschweig, Germany [email protected] 3 Freie Universität Berlin, Germany [email protected] 4 Utrecht University, the Netherlands [email protected] 5 FernUniversität in Hagen, Germany [email protected] 6 Technische Universität Graz, Austria [email protected] 7 Universität Würzburg, Germany orcid.org/0000-0001-5872-718X Abstract A graph has a side-contact representation with polygons if its vertices can be represented by interior-disjoint polygons such that two polygons share a common side if and only if the cor- responding vertices are adjacent. In this work we study representations in 3D. We show that every graph has a side-contact representation with polygons in 3D, while this is not the case if we additionally require that the polygons are convex: we show that every supergraph of K5 and every nonplanar 3-tree does not admit a representation with convex polygons. On the other hand, K4,4 admits such a representation, and so does every graph obtained from a complete graph by subdividing each edge once. Finally, we construct an unbounded family of graphs with average vertex degree 12 − o(1) that admit side-contact representations with convex polygons in 3D. Hence, such graphs can be considerably denser than planar graphs. 1 Introduction A graph has a contact representation if its vertices can be represented by interior-disjoint geometric objects1 such that two objects touch exactly if the corresponding vertices are adjacent. -
A New Approach to Number of Spanning Trees of Wheel Graph Wn in Terms of Number of Spanning Trees of Fan Graph Fn
[ VOLUME 5 I ISSUE 4 I OCT.– DEC. 2018] E ISSN 2348 –1269, PRINT ISSN 2349-5138 A New Approach to Number of Spanning Trees of Wheel Graph Wn in Terms of Number of Spanning Trees of Fan Graph Fn Nihar Ranjan Panda* & Purna Chandra Biswal** *Research Scholar, P. G. Dept. of Mathematics, Ravenshaw University, Cuttack, Odisha. **Department of Mathematics, Parala Maharaja Engineering College, Berhampur, Odisha-761003, India. Received: July 19, 2018 Accepted: August 29, 2018 ABSTRACT An exclusive expression τ(Wn) = 3τ(Fn)−2τ(Fn−1)−2 for determining the number of spanning trees of wheel graph Wn is derived using a new approach by defining an onto mapping from the set of all spanning trees of Wn+1 to the set of all spanning trees of Wn. Keywords: Spanning Tree, Wheel, Fan 1. Introduction A graph consists of a non-empty vertex set V (G) of n vertices together with a prescribed edge set E(G) of r unordered pairs of distinct vertices of V(G). A graph G is called labeled graph if all the vertices have certain label, and a tree is a connected acyclic graph according to Biggs [1]. All the graphs in this paper are finite, undirected, and simple connected. For a graph G = (V(G), E(G)), a spanning tree in G is a tree which has the same vertex set as G has. The number of spanning trees in a graph G, denoted by τ(G), is an important invariant of the graph. It is also an important measure of reliability of a network. -
Mathematical Concepts Within the Artwork of Lewitt and Escher
A Thesis Presented to The Faculty of Alfred University More than Visual: Mathematical Concepts Within the Artwork of LeWitt and Escher by Kelsey Bennett In Partial Fulfillment of the requirements for the Alfred University Honors Program May 9, 2019 Under the Supervision of: Chair: Dr. Amanda Taylor Committee Members: Barbara Lattanzi John Hosford 1 Abstract The goal of this thesis is to demonstrate the relationship between mathematics and art. To do so, I have explored the work of two artists, M.C. Escher and Sol LeWitt. Though these artists approached the role of mathematics in their art in different ways, I have observed that each has employed mathematical concepts in order to create their rule-based artworks. The mathematical ideas which serve as the backbone of this thesis are illustrated by the artists' works and strengthen the bond be- tween the two subjects of art and math. My intention is to make these concepts accessible to all readers, regardless of their mathematical or artis- tic background, so that they may in turn gain a deeper understanding of the relationship between mathematics and art. To do so, we begin with a philosophical discussion of art and mathematics. Next, we will dissect and analyze various pieces of work by Sol LeWitt and M.C. Escher. As part of that process, we will also redesign or re-imagine some artistic pieces to further highlight mathematical concepts at play within the work of these artists. 1 Introduction What is art? The Merriam-Webster dictionary provides one definition of art as being \the conscious use of skill and creative imagination especially in the production of aesthetic object" ([1]). -
The 150 Year Journey of the Four Color Theorem
The 150 Year Journey of the Four Color Theorem A Senior Thesis in Mathematics by Ruth Davidson Advised by Sara Billey University of Washington, Seattle Figure 1: Coloring a Planar Graph; A Dual Superimposed I. Introduction The Four Color Theorem (4CT) was stated as a conjecture by Francis Guthrie in 1852, who was then a student of Augustus De Morgan [3]. Originally the question was posed in terms of coloring the regions of a map: the conjecture stated that if a map was divided into regions, then four colors were sufficient to color all the regions of the map such that no two regions that shared a boundary were given the same color. For example, in Figure 1, the adjacent regions of the shape are colored in different shades of gray. The search for a proof of the 4CT was a primary driving force in the development of a branch of mathematics we now know as graph theory. Not until 1977 was a correct proof of the Four Color Theorem (4CT) published by Kenneth Appel and Wolfgang Haken [1]. Moreover, this proof was made possible by the incremental efforts of many mathematicians that built on the work of those who came before. This paper presents an overview of the history of the search for this proof, and examines in detail another beautiful proof of the 4CT published in 1997 by Neil Robertson, Daniel 1 Figure 2: The Planar Graph K4 Sanders, Paul Seymour, and Robin Thomas [18] that refined the techniques used in the original proof. In order to understand the form in which the 4CT was finally proved, it is necessary to under- stand proper vertex colorings of a graph and the idea of a planar graph. -
On Graph Crossing Number and Edge Planarization∗
On Graph Crossing Number and Edge Planarization∗ Julia Chuzhoyy Yury Makarychevz Anastasios Sidiropoulosx Abstract Given an n-vertex graph G, a drawing of G in the plane is a mapping of its vertices into points of the plane, and its edges into continuous curves, connecting the images of their endpoints. A crossing in such a drawing is a point where two such curves intersect. In the Minimum Crossing Number problem, the goal is to find a drawing of G with minimum number of crossings. The value of the optimal solution, denoted by OPT, is called the graph's crossing number. This is a very basic problem in topological graph theory, that has received a significant amount of attention, but is still poorly understood algorithmically. The best currently known efficient algorithm produces drawings with O(log2 n) · (n + OPT) crossings on bounded-degree graphs, while only a constant factor hardness of approximation is known. A closely related problem is Minimum Planarization, in which the goal is to remove a minimum-cardinality subset of edges from G, such that the remaining graph is planar. Our main technical result establishes the following connection between the two problems: if we are given a solution of cost k to the Minimum Planarization problem on graph G, then we can efficiently find a drawing of G with at most poly(d) · k · (k + OPT) crossings, where d is the maximum degree in G. This result implies an O(n · poly(d) · log3=2 n)-approximation for Minimum Crossing Number, as well as improved algorithms for special cases of the problem, such as, for example, k-apex and bounded-genus graphs. -
Analytical Framework for Recurrence-Network Analysis of Time Series
Analytical framework for recurrence-network analysis of time series Jonathan F. Donges,1, 2, ∗ Jobst Heitzig,1 Reik V. Donner,1 and J¨urgenKurths1, 2, 3 1Potsdam Institute for Climate Impact Research, P.O. Box 601203, 14412 Potsdam, Germany 2Department of Physics, Humboldt University Berlin, Newtonstr. 15, 12489 Berlin, Germany 3Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom (Dated: August 13, 2018) Recurrence networks are a powerful nonlinear tool for time series analysis of complex dynamical systems. While there are already many successful applications ranging from medicine to paleoclima- tology, a solid theoretical foundation of the method has still been missing so far. Here, we interpret an "-recurrence network as a discrete subnetwork of a \continuous" graph with uncountably many vertices and edges corresponding to the system's attractor. This step allows us to show that various statistical measures commonly used in complex network analysis can be seen as discrete estimators of newly defined continuous measures of certain complex geometric properties of the attractor on the scale given by ". In particular, we introduce local measures such as the "-clustering coefficient, mesoscopic measures such as "-motif density, path-based measures such as "-betweennesses, and global measures such as "-efficiency. This new analytical basis for the so far heuristically motivated network measures also provides an objective criterion for the choice of " via a percolation threshold, and it shows that estimation can be improved by so-called node splitting invariant versions of the measures. We finally illustrate the framework for a number of archetypical chaotic attractors such as those of the Bernoulli and logistic maps, periodic and two-dimensional quasi-periodic motions, and for hyperballs and hypercubes, by deriving analytical expressions for the novel measures and com- paring them with data from numerical experiments. -
Applications of the Quantum Algorithm for St-Connectivity
Applications of the quantum algorithm for st-connectivity KAI DELORENZO1 , SHELBY KIMMEL1 , AND R. TEAL WITTER1 1Middlebury College, Computer Science Department, Middlebury, VT Abstract We present quantum algorithms for various problems related to graph connectivity. We give simple and query-optimal algorithms for cycle detection and odd-length cycle detection (bipartiteness) using a reduction to st-connectivity. Furthermore, we show that our algorithm for cycle detection has improved performance under the promise of large circuit rank or a small number of edges. We also provide algo- rithms for detecting even-length cycles and for estimating the circuit rank of a graph. All of our algorithms have logarithmic space complexity. 1 Introduction Quantum query algorithms are remarkably described by span programs [15, 16], a linear algebraic object originally created to study classical logspace complexity [12]. However, finding optimal span program algorithms can be challenging; while they can be obtained using a semidefinite program, the size of the program grows exponentially with the size of the input to the algorithm. Moreover, span programs are designed to characterize the query complexity of an algorithm, while in practice we also care about the time and space complexity. One of the nicest span programs is for the problem of undirected st-connectivity, in which one must decide whether two vertices s and t are connected in a given graph. It is “nice” for several reasons: It is easy to describe and understand why it is correct. • It corresponds to a quantum algorithm that uses logarithmic (in the number of vertices and edges of • the graph) space [4, 11]. -
The Normalized Laplacian Spectrum of Subdivisions of a Graph
The normalized Laplacian spectrum of subdivisions of a graph Pinchen Xiea,b, Zhongzhi Zhanga,c, Francesc Comellasd aShanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai 200433, China bDepartment of Physics, Fudan University, Shanghai 200433, China cSchool of Computer Science, Fudan University, Shanghai 200433, China dDepartment of Applied Mathematics IV, Universitat Polit`ecnica de Catalunya, 08034 Barcelona Catalonia, Spain Abstract Determining and analyzing the spectra of graphs is an important and excit- ing research topic in mathematics science and theoretical computer science. The eigenvalues of the normalized Laplacian of a graph provide information on its structural properties and also on some relevant dynamical aspects, in particular those related to random walks. In this paper, we give the spec- tra of the normalized Laplacian of iterated subdivisions of simple connected graphs. As an example of application of these results we find the exact val- ues of their multiplicative degree-Kirchhoff index, Kemeny's constant and number of spanning trees. Keywords: Normalized Laplacian spectrum, Subdivision graph, Degree-Kirchhoff index, Kemeny's constant, Spanning trees 1. Introduction Spectral analysis of graphs has been the subject of considerable research effort in mathematics and computer science [1, 2, 3], due to its wide appli- cations in this area and in general [4, 5]. In the last few decades a large body of scientific literature has established that important structural and dynamical properties -
The Four Color Theorem
Western Washington University Western CEDAR WWU Honors Program Senior Projects WWU Graduate and Undergraduate Scholarship Spring 2012 The Four Color Theorem Patrick Turner Western Washington University Follow this and additional works at: https://cedar.wwu.edu/wwu_honors Part of the Computer Sciences Commons, and the Mathematics Commons Recommended Citation Turner, Patrick, "The Four Color Theorem" (2012). WWU Honors Program Senior Projects. 299. https://cedar.wwu.edu/wwu_honors/299 This Project is brought to you for free and open access by the WWU Graduate and Undergraduate Scholarship at Western CEDAR. It has been accepted for inclusion in WWU Honors Program Senior Projects by an authorized administrator of Western CEDAR. For more information, please contact [email protected]. Western WASHINGTON UNIVERSITY ^ Honors Program HONORS THESIS In presenting this Honors paper in partial requirements for a bachelor’s degree at Western Washington University, I agree that the Library shall make its copies freely available for inspection. I further agree that extensive copying of this thesis is allowable only for scholarly purposes. It is understood that anv publication of this thesis for commercial purposes or for financial gain shall not be allowed without mv written permission. Signature Active Minds Changing Lives Senior Project Patrick Turner The Four Color Theorem The history of mathematics is pervaded by problems which can be stated simply, but are difficult and in some cases impossible to prove. The pursuit of solutions to these problems has been an important catalyst in mathematics, aiding the development of many disparate fields. While Fermat’s Last theorem, which states x ” + y ” = has no integer solutions for n > 2 and x, y, 2 ^ is perhaps the most famous of these problems, the Four Color Theorem proved a challenge to some of the greatest mathematical minds from its conception 1852 until its eventual proof in 1976.