Graph Colorings, Flows and Perfect Matchings Louis Esperet
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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. -
Lecture 4 1 the Permanent of a Matrix
Grafy a poˇcty - NDMI078 April 2009 Lecture 4 M. Loebl J.-S. Sereni 1 The permanent of a matrix 1.1 Minc's conjecture The set of permutations of f1; : : : ; ng is Sn. Let A = (ai;j)1≤i;j≤n be a square matrix with real non-negative entries. The permanent of the matrix A is n X Y perm(A) := ai,σ(i) : σ2Sn i=1 In 1973, Br`egman[4] proved M´ınc’sconjecture [18]. n×n Pn Theorem 1 (Br`egman,1973). Let A = (ai;j)1≤i;j≤n 2 f0; 1g . Set ri := j=1 ai;j. Then, n Y 1=ri perm(A) ≤ (ri!) : i=1 Further, if ri > 0 for every i 2 f1; 2; : : : ; ng, then there is equality if and only if up to permutations of rows and columns, A is a block-diagonal matrix, each block being a square matrix with all entries equal to 1. Several proofs of this result are known, the original being combinatorial. In 1978, Schrijver [22] found a neat and short proof. A probabilistic description of this proof is presented in the book of Alon and Spencer [3, Chapter 2]. The one we will see in Lecture 5 uses the concept of entropy, and was found by Radhakrishnan [20] in the late nineties. It is a nice illustration of the use of entropy to count combinatorial objects. 1.2 The van der Waerden conjecture A square matrix M = (mij)1≤i;j≤n of non-negative real numbers is doubly stochastic if the sum of the entries of every line is equal to 1, and the same holds for the sum of the entries of each column. -
Lecture 12 – the Permanent and the Determinant
Lecture 12 { The permanent and the determinant Uriel Feige Department of Computer Science and Applied Mathematics The Weizman Institute Rehovot 76100, Israel [email protected] June 23, 2014 1 Introduction Given an order n matrix A, its permanent is X Yn per(A) = aiσ(i) σ i=1 where σ ranges over all permutations on n elements. Its determinant is X Yn σ det(A) = (−1) aiσ(i) σ i=1 where (−1)σ is +1 for even permutations and −1 for odd permutations. A permutation is even if it can be obtained from the identity permutation using an even number of transpo- sitions (where a transposition is a swap of two elements), and odd otherwise. For those more familiar with the inductive definition of the determinant, obtained by developing the determinant by the first row of the matrix, observe that the inductive defini- tion if spelled out leads exactly to the formula above. The same inductive definition applies to the permanent, but without the alternating sign rule. The determinant can be computed in polynomial time by Gaussian elimination, and in time n! by fast matrix multiplication. On the other hand, there is no polynomial time algorithm known for computing the permanent. In fact, Valiant showed that the permanent is complete for the complexity class #P , which makes computing it as difficult as computing the number of solutions of NP-complete problems (such as SAT, Valiant's reduction was from Hamiltonicity). For 0/1 matrices, the matrix A can be thought of as the adjacency matrix of a bipartite graph (we refer to it as a bipartite adjacency matrix { technically, A is an off-diagonal block of the usual adjacency matrix), and then the permanent counts the number of perfect matchings. -
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. -
3.1 Matchings and Factors: Matchings and Covers
1 3.1 Matchings and Factors: Matchings and Covers This copyrighted material is taken from Introduction to Graph Theory, 2nd Ed., by Doug West; and is not for further distribution beyond this course. These slides will be stored in a limited-access location on an IIT server and are not for distribution or use beyond Math 454/553. 2 Matchings 3.1.1 Definition A matching in a graph G is a set of non-loop edges with no shared endpoints. The vertices incident to the edges of a matching M are saturated by M (M-saturated); the others are unsaturated (M-unsaturated). A perfect matching in a graph is a matching that saturates every vertex. perfect matching M-unsaturated M-saturated M Contains copyrighted material from Introduction to Graph Theory by Doug West, 2nd Ed. Not for distribution beyond IIT’s Math 454/553. 3 Perfect Matchings in Complete Bipartite Graphs a 1 The perfect matchings in a complete b 2 X,Y-bigraph with |X|=|Y| exactly c 3 correspond to the bijections d 4 f: X -> Y e 5 Therefore Kn,n has n! perfect f 6 matchings. g 7 Kn,n The complete graph Kn has a perfect matching iff… Contains copyrighted material from Introduction to Graph Theory by Doug West, 2nd Ed. Not for distribution beyond IIT’s Math 454/553. 4 Perfect Matchings in Complete Graphs The complete graph Kn has a perfect matching iff n is even. So instead of Kn consider K2n. We count the perfect matchings in K2n by: (1) Selecting a vertex v (e.g., with the highest label) one choice u v (2) Selecting a vertex u to match to v K2n-2 2n-1 choices (3) Selecting a perfect matching on the rest of the vertices. -
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]). -
Steinitz's Theorem Project Report §1 Introduction §2 Basic Definitions
Steinitz's Theorem Project Report Jon Hillery May 17, 2019 §1 Introduction Looking at the vertices and edges of polyhedra gives a family of graphs that we might expect has nice properties. It turns out that there is actually a very nice characterization of these graphs! We can use this characterization to find useful representations of certain graphs. §2 Basic Definitions We define a space to be convex if the line segment connecting any two points in the space remains entirely inside the space. This works for two-dimensional sets: and three-dimensional sets: Given a polyhedron, we define its 1-skeleton to be the graph formed from the vertices and edges of the polyhedron. For example, the 1-skeleton of a tetrahedron is K4: 1 Jon Hillery (May 17, 2019) Steinitz's Theorem Project Report Here are some further examples of the 1-skeleton of an icosahedron and a dodecahedron: §3 Properties of 1-Skeletons What properties do we know the 1-skeleton of a convex polyhedron must have? First, it must be planar. To see this, imagine moving your eye towards one of the faces until you are close enough that all of the other faces appear \inside" the face you are looking through, as shown here: This is always possible because the polyedron is convex, meaning intuitively it doesn't have any parts that \jut out". The graph formed from viewing in this way will have no intersections because the polyhedron is convex, so the straight-line rays our eyes see are not allowed to leave via an edge on the boundary of the polyhedron and then go back inside. -
Strong Subgraph Connectivity of Digraphs: a Survey
Strong Subgraph Connectivity of Digraphs: A Survey Yuefang Sun1 and Gregory Gutin2 1 Department of Mathematics, Shaoxing University Zhejiang 312000, P. R. China, [email protected] 2 School of Computer Science and Mathematics Royal Holloway, University of London Egham, Surrey, TW20 0EX, UK, [email protected] Abstract In this survey we overview known results on the strong subgraph k- connectivity and strong subgraph k-arc-connectivity of digraphs. After an introductory section, the paper is divided into four sections: basic results, algorithms and complexity, sharp bounds for strong subgraph k-(arc-)connectivity, minimally strong subgraph (k,ℓ)-(arc-) connected digraphs. This survey contains several conjectures and open problems for further study. Keywords: Strong subgraph k-connectivity; Strong subgraph k-arc- connectivity; Subdigraph packing; Directed q-linkage; Directed weak q-linkage; Semicomplete digraphs; Symmetric digraphs; Generalized k- connectivity; Generalized k-edge-connectivity. AMS subject classification (2010): 05C20, 05C35, 05C40, 05C70, 05C75, 05C76, 05C85, 68Q25, 68R10. 1 Introduction arXiv:1808.02740v1 [cs.DM] 8 Aug 2018 The generalized k-connectivity κk(G) of a graph G = (V, E) was intro- duced by Hager [14] in 1985 (2 ≤ k ≤ |V |). For a graph G = (V, E) and a set S ⊆ V of at least two vertices, an S-Steiner tree or, simply, an S-tree is a subgraph T of G which is a tree with S ⊆ V (T ). Two S-trees T1 and T2 are said to be edge-disjoint if E(T1) ∩ E(T2)= ∅. Two edge-disjoint S-trees T1 and T2 are said to be internally disjoint if V (T1) ∩ V (T2)= S. -
A Survey of Graph Coloring - Its Types, Methods and Applications
FOUNDATIONS OF COMPUTING AND DECISION SCIENCES Vol. 37 (2012) No. 3 DOI: 10.2478/v10209-011-0012-y A SURVEY OF GRAPH COLORING - ITS TYPES, METHODS AND APPLICATIONS Piotr FORMANOWICZ1;2, Krzysztof TANA1 Abstract. Graph coloring is one of the best known, popular and extensively researched subject in the eld of graph theory, having many applications and con- jectures, which are still open and studied by various mathematicians and computer scientists along the world. In this paper we present a survey of graph coloring as an important subeld of graph theory, describing various methods of the coloring, and a list of problems and conjectures associated with them. Lastly, we turn our attention to cubic graphs, a class of graphs, which has been found to be very interesting to study and color. A brief review of graph coloring methods (in Polish) was given by Kubale in [32] and a more detailed one in a book by the same author. We extend this review and explore the eld of graph coloring further, describing various results obtained by other authors and show some interesting applications of this eld of graph theory. Keywords: graph coloring, vertex coloring, edge coloring, complexity, algorithms 1 Introduction Graph coloring is one of the most important, well-known and studied subelds of graph theory. An evidence of this can be found in various papers and books, in which the coloring is studied, and the problems and conjectures associated with this eld of research are being described and solved. Good examples of such works are [27] and [28]. In the following sections of this paper, we describe a brief history of graph coloring and give a tour through types of coloring, problems and conjectures associated with them, and applications. -
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. -
Star Coloring Outerplanar Bipartite Graphs
Discussiones Mathematicae Graph Theory 39 (2019) 899–908 doi:10.7151/dmgt.2109 STAR COLORING OUTERPLANAR BIPARTITE GRAPHS Radhika Ramamurthi and Gina Sanders Department of Mathematics California State University San Marcos San Marcos, CA 92096-0001 USA e-mail: [email protected] Abstract A proper coloring of the vertices of a graph is called a star coloring if at least three colors are used on every 4-vertex path. We show that all outerplanar bipartite graphs can be star colored using only five colors and construct the smallest known example that requires five colors. Keywords: chromatic number, star coloring, outerplanar bipartite graph. 2010 Mathematics Subject Classification: 05C15. 1. Introduction A proper r-coloring of a graph G is an assignment of labels from {1, 2,...,r} to the vertices of G so that adjacent vertices receive distinct colors. The minimum r so that G has a proper r-coloring is called the chromatic number of G, denoted by χ(G). The chromatic number is one of the most studied parameters in graph theory, and by convention, the term coloring of a graph is usually used instead of proper coloring. In 1973, Gr¨unbaum [5] considered proper colorings with the additional constraint that the subgraph induced by every pair of color classes is acyclic, i.e., contains no cycles. He called such colorings acyclic colorings, and the minimum r such that G has an acyclic r-coloring is called the acyclic chromatic number of G, denoted by a(G). In introducing the notion of an acyclic coloring, Gr¨unbaum noted that the condition that the union of any two color classes induces a forest can be generalized to other bipartite graphs. -
Geometry and Arithmetic of Crystallographic Sphere Packings
Geometry and arithmetic of crystallographic sphere packings Alex Kontorovicha,b,1 and Kei Nakamuraa aDepartment of Mathematics, Rutgers University, New Brunswick, NJ 08854; and bSchool of Mathematics, Institute for Advanced Study, Princeton, NJ 08540 Edited by Kenneth A. Ribet, University of California, Berkeley, CA, and approved November 21, 2018 (received for review December 12, 2017) We introduce the notion of a “crystallographic sphere packing,” argument leading to Theorem 3 comes from constructing circle defined to be one whose limit set is that of a geometrically packings “modeled on” combinatorial types of convex polyhedra, finite hyperbolic reflection group in one higher dimension. We as follows. exhibit an infinite family of conformally inequivalent crystallo- graphic packings with all radii being reciprocals of integers. We (~): Polyhedral Packings then prove a result in the opposite direction: the “superintegral” Let Π be the combinatorial type of a convex polyhedron. Equiv- ones exist only in finitely many “commensurability classes,” all in, alently, Π is a 3-connectedz planar graph. A version of the at most, 20 dimensions. Koebe–Andreev–Thurston Theorem§ says that there exists a 3 geometrization of Π (that is, a realization of its vertices in R with sphere packings j crystallographic j arithmetic j polyhedra j straight lines as edges and faces contained in Euclidean planes) Coxeter diagrams having a midsphere (meaning, a sphere tangent to all edges). This midsphere is then also simultaneously a midsphere for the he goal of this program is to understand the basic “nature” of dual polyhedron Πb. Fig. 2A shows the case of a cuboctahedron Tthe classical Apollonian gasket.