Extremal Number of Trees in Hypercubes
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Three Conjectures in Extremal Spectral Graph Theory
Three conjectures in extremal spectral graph theory Michael Tait and Josh Tobin June 6, 2016 Abstract We prove three conjectures regarding the maximization of spectral invariants over certain families of graphs. Our most difficult result is that the join of P2 and Pn−2 is the unique graph of maximum spectral radius over all planar graphs. This was conjectured by Boots and Royle in 1991 and independently by Cao and Vince in 1993. Similarly, we prove a conjecture of Cvetkovi´cand Rowlinson from 1990 stating that the unique outerplanar graph of maximum spectral radius is the join of a vertex and Pn−1. Finally, we prove a conjecture of Aouchiche et al from 2008 stating that a pineapple graph is the unique connected graph maximizing the spectral radius minus the average degree. To prove our theorems, we use the leading eigenvector of a purported extremal graph to deduce structural properties about that graph. Using this setup, we give short proofs of several old results: Mantel's Theorem, Stanley's edge bound and extensions, the K}ovari-S´os-Tur´anTheorem applied to ex (n; K2;t), and a partial solution to an old problem of Erd}oson making a triangle-free graph bipartite. 1 Introduction Questions in extremal graph theory ask to maximize or minimize a graph invariant over a fixed family of graphs. Perhaps the most well-studied problems in this area are Tur´an-type problems, which ask to maximize the number of edges in a graph which does not contain fixed forbidden subgraphs. Over a century old, a quintessential example of this kind of result is Mantel's theorem, which states that Kdn=2e;bn=2c is the unique graph maximizing the number of edges over all triangle-free graphs. -
Forbidding Subgraphs
Graph Theory and Additive Combinatorics Lecturer: Prof. Yufei Zhao 2 Forbidding subgraphs 2.1 Mantel’s theorem: forbidding a triangle We begin our discussion of extremal graph theory with the following basic question. Question 2.1. What is the maximum number of edges in an n-vertex graph that does not contain a triangle? Bipartite graphs are always triangle-free. A complete bipartite graph, where the vertex set is split equally into two parts (or differing by one vertex, in case n is odd), has n2/4 edges. Mantel’s theorem states that we cannot obtain a better bound: Theorem 2.2 (Mantel). Every triangle-free graph on n vertices has at W. Mantel, "Problem 28 (Solution by H. most bn2/4c edges. Gouwentak, W. Mantel, J. Teixeira de Mattes, F. Schuh and W. A. Wythoff). Wiskundige Opgaven 10, 60 —61, 1907. We will give two proofs of Theorem 2.2. Proof 1. G = (V E) n m Let , a triangle-free graph with vertices and x edges. Observe that for distinct x, y 2 V such that xy 2 E, x and y N(x) must not share neighbors by triangle-freeness. Therefore, d(x) + d(y) ≤ n, which implies that d(x)2 = (d(x) + d(y)) ≤ mn. ∑ ∑ N(y) x2V xy2E y On the other hand, by the handshake lemma, ∑x2V d(x) = 2m. Now by the Cauchy–Schwarz inequality and the equation above, Adjacent vertices have disjoint neigh- borhoods in a triangle-free graph. !2 ! 4m2 = ∑ d(x) ≤ n ∑ d(x)2 ≤ mn2; x2V x2V hence m ≤ n2/4. -
Extremal Graph Theory
Extremal Graph Theory Ajit A. Diwan Department of Computer Science and Engineering, I. I. T. Bombay. Email: [email protected] Basic Question • Let H be a fixed graph. • What is the maximum number of edges in a graph G with n vertices that does not contain H as a subgraph? • This number is denoted ex(n,H). • A graph G with n vertices and ex(n,H) edges that does not contain H is called an extremal graph for H. Mantel’s Theorem (1907) n2 ex(n, K ) 3 4 • The only extremal graph for a triangle is the complete bipartite graph with parts of nearly equal sizes. Complete Bipartite graph Turan’s theorem (1941) t 2 ex(n, K ) n2 t 2(t 1) • Equality holds when n is a multiple of t-1. • The only extremal graph is the complete (t-1)- partite graph with parts of nearly equal sizes. Complete Multipartite Graph Proofs of Turan’s theorem • Many different proofs. • Use different techniques. • Techniques useful in proving other results. • Algorithmic applications. • “BOOK” proofs. Induction • The result is trivial if n <= t-1. • Suppose n >= t and consider a graph G with maximum number of edges and no Kt. • G must contain a Kt-1. • Delete all vertices in Kt-1. • The remaining graph contains at most t 2 (n t 1)2 edges. 2(t 1) Induction • No vertex outside Kt-1 can be joined to all vertices of Kt-1. • Total number of edges is at most t 2 (t 1)(t 2) (n t 1)2 2(t 1) 2 t 2 (n t 1)(t 2) n2 2(t 1) Greedy algorithm • Consider any extremal graph and let v be a vertex with maximum degree ∆. -
An Extremal Problem for Complete Bipartite Graphs
Studia Seientiarum Mathematicarum Hungarica 23 (1988), 319-326 AN EXTREMAL PROBLEM FOR COMPLETE BIPARTITE GRAPHS P. ERDŐS, R. J. FAUDREE, C . C . ROUSSEAU and R . H. SCHELP Dedicated to the memory of Paul Turán Abstract Define f(n, k) to be the largest integer q such that for every graph G of order n and size q, G contains every complete bipartite graph K u, ,, with a+h=n-k . We obtain (i) exact values for f(n, 0) and f(n, 1), (ii) upper and lower bounds for f(n, k) when ku2 is fixed and n is large, and (iii) an upper bound for f(n, lenl) . 1 . Introduction Extremal graph theory, which was initiated by Turán in 1941 [4], is still the source of many interesting and difficult problems . The standard problem is to deter- mine f(n, G), the smallest integer q such that every graph with n vertices and q edges contains a subgraph isomorphic to G . It is striking that whereas Turán completely determined f(n, Km), there is much which is as yet unknown concerning f(n, Ka, b). In this paper, we consider a variant of the extremal problem for complete bipartite graphs . In this variant we ask how many edges must be deleted from K„ so that the resulting graph no longer contains Ka,, for some pair (a, b) with a+b=in . Specifically, we seek to determine an extremal function f(n, k) defined as follows . For in ::- 1, let B,,, denote the class of all graphs G such that GDKa , b for every pair (a, b) with a+b=m . -
The History of Degenerate (Bipartite) Extremal Graph Problems
The history of degenerate (bipartite) extremal graph problems Zolt´an F¨uredi and Mikl´os Simonovits May 15, 2013 Alfr´ed R´enyi Institute of Mathematics, Budapest, Hungary [email protected] and [email protected] Abstract This paper is a survey on Extremal Graph Theory, primarily fo- cusing on the case when one of the excluded graphs is bipartite. On one hand we give an introduction to this field and also describe many important results, methods, problems, and constructions. 1 Contents 1 Introduction 4 1.1 Some central theorems of the field . 5 1.2 Thestructureofthispaper . 6 1.3 Extremalproblems ........................ 8 1.4 Other types of extremal graph problems . 10 1.5 Historicalremarks . .. .. .. .. .. .. 11 arXiv:1306.5167v2 [math.CO] 29 Jun 2013 2 The general theory, classification 12 2.1 The importance of the Degenerate Case . 14 2.2 The asymmetric case of Excluded Bipartite graphs . 15 2.3 Reductions:Hostgraphs. 16 2.4 Excluding complete bipartite graphs . 17 2.5 Probabilistic lower bound . 18 1 Research supported in part by the Hungarian National Science Foundation OTKA 104343, and by the European Research Council Advanced Investigators Grant 267195 (ZF) and by the Hungarian National Science Foundation OTKA 101536, and by the European Research Council Advanced Investigators Grant 321104. (MS). 1 F¨uredi-Simonovits: Degenerate (bipartite) extremal graph problems 2 2.6 Classification of extremal problems . 21 2.7 General conjectures on bipartite graphs . 23 3 Excluding complete bipartite graphs 24 3.1 Bipartite C4-free graphs and the Zarankiewicz problem . 24 3.2 Finite Geometries and the C4-freegraphs . -
A New Approach to the Snake-In-The-Box Problem
462 ECAI 2012 Luc De Raedt et al. (Eds.) © 2012 The Author(s). This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License. doi:10.3233/978-1-61499-098-7-462 A New Approach to the Snake-In-The-Box Problem David Kinny1 Abstract. The “Snake-In-The-Box” problem, first described more Research on the SIB problem initially focused on applications in than 50 years ago, is a hard combinatorial search problem whose coding [14]. Coils are spread-k circuit codes for k =2, in which solutions have many practical applications. Until recently, techniques n-words k or more positions apart in the code differ in at least k based on Evolutionary Computation have been considered the state- bit positions [12]. (The well-known Gray codes are spread-1 circuit of-the-art for solving this deterministic maximization problem, and codes.) Longest snakes and coils provide the maximum number of held most significant records. This paper reviews the problem and code words for a given word size (i.e., hypercube dimension). prior solution techniques, then presents a new technique, based on A related application is in encoding schemes for analogue-to- Monte-Carlo Tree Search, which finds significantly better solutions digital converters including shaft (rotation) encoders. Longest SIB than prior techniques, is considerably faster, and requires no tuning. codes provide greatest resolution, and single bit errors are either recognised as such or map to an adjacent codeword causing an off- 1 INTRODUCTION by-one error. -
Degree in Mathematics
Degree in Mathematics Title: An Experimental Study of the Minimum Linear Colouring Arrangement Problem. Author: Montserrat Brufau Vidal Advisor: Maria José Serna Iglesias Department: Computer Science Department Academic year: 2016-2017 ii An experimental study of the Minimum Linear Colouring Arrangement Problem Author: Montserrat Brufau Vidal Advisor: Maria Jos´eSerna Iglesias Facultat de Matem`atiquesi Estad´ıstica Universitat Polit`ecnicade Catalunya 26th June 2017 ii Als meus pares; a la Maria pel seu suport durant el projecte; al meu poble, Men`arguens. iii iv Abstract The Minimum Linear Colouring Arrangement problem (MinLCA) is a variation from the Min- imum Linear Arrangement problem (MinLA) and the Colouring problem. The objective of the MinLA problem is finding the best way of labelling each vertex of a graph in such a manner that the sum of the induced distances between two adjacent vertices is the minimum. In our case, instead of labelling each vertex with a different integer, we group them with the condition that two adjacent vertices cannot be in the same group, or equivalently, by allowing the vertex labelling to be a proper colouring of the graph. In this project, we undertake the task of broadening the previous studies for the MinLCA problem. The main goal is developing some exact algorithms based on backtracking and some heuristic algorithms based on a maximal independent set approach and testing them with dif- ferent instances of graph families. As a secondary goal we are interested in providing theoretical results for particular graphs. The results will be made available in a simple, open-access bench- marking platform. -
The Snake-In-The-Box Problem: a Primer
THE SNAKE-IN-THE-BOX PROBLEM: A PRIMER by THOMAS E. DRAPELA (Under the Direction of Walter D. Potter) ABSTRACT This thesis is a primer designed to introduce novice and expert alike to the Snake-in-the- Box problem (SIB). Using plain language, and including explanations of prerequisite concepts necessary for understanding SIB throughout, it introduces the essential concepts of SIB, its origin, evolution, and continued relevance, as well as methods for representing, validating, and evaluating snake and coil solutions in SIB search. Finally, it is structured to serve as a convenient reference for those exploring SIB. INDEX WORDS: Snake-in-the-Box, Coil-in-the-Box, Hypercube, Snake, Coil, Graph Theory, Constraint Satisfaction, Canonical Ordering, Canonical Form, Equivalence Class, Disjunctive Normal Form, Conjunctive Normal Form, Heuristic Search, Fitness Function, Articulation Points THE SNAKE-IN-THE-BOX PROBLEM: A PRIMER by THOMAS E. DRAPELA B.A., George Mason University, 1991 A Thesis Submitted to the Graduate Faculty of The University of Georgia in Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE ATHENS, GEORGIA 2015 © 2015 Thomas E. Drapela All Rights Reserved THE SNAKE-IN-THE-BOX PROBLEM: A PRIMER by THOMAS E. DRAPELA Major Professor: Walter D. Potter Committee: Khaled Rasheed Pete Bettinger Electronic Version Approved: Julie Coffield Interim Dean of the Graduate School The University of Georgia May 2015 DEDICATION To my dearest Kristin: For loving me enough to give me a shove. iv ACKNOWLEDGEMENTS I wish to express my deepest gratitude to Dr. Potter for introducing me to the Snake-in-the-Box problem, for giving me the freedom to get lost in it, and finally, for helping me to find my way back. -
An Archive of All Submitted Project Proposals
CS 598 JGE ] Fall 2017 One-Dimensional Computational Topology Project Proposals Theory 0 Bhuvan Venkatesh: embedding graphs into hypercubes ....................... 1 Brendan Wilson: anti-Borradaile-Klein? .................................. 4 Charles Shang: vertex-disjoint paths in planar graphs ......................... 6 Hsien-Chih Chang: bichromatic triangles in pseudoline arrangements ............. 9 Sameer Manchanda: one more shortest-path tree in planar graphs ............... 11 Implementation 13 Jing Huang: evaluation of image segmentation algorithms ..................... 13 Shailpik Roy: algorithm visualization .................................... 15 Qizin (Stark) Zhu: evaluation of r-division algorithms ........................ 17 Ziwei Ba: algorithm visualization ....................................... 20 Surveys 22 Haizi Yu: topological music analysis ..................................... 22 Kevin Hong: topological data analysis .................................... 24 Philip Shih: planarity testing algorithms .................................. 26 Ross Vasko: planar graph clustering ..................................... 28 Yasha Mostofi: image processing via maximum flow .......................... 31 CS 598JGE Project Proposal Name and Netid: Bhuvan Venkatesh: bvenkat2 Introduction Embedding arbitrary graphs into Hypercubes has been the study of research for many practical implementation purposes such as interprocess communication or resource. A hypercube graph is any graph that has a set of 2d vertexes and all the vertexes are -
1 Turán's Theorem
Yuval Wigderson Turandotdotdot January 27, 2020 Ma il mio mistero `echiuso in me Nessun dorma, from Puccini's Turandot Libretto: G. Adami and R. Simoni 1 Tur´an'stheorem How many edges can we place among n vertices in such a way that we make no triangle? This is perhaps the first question asked in the field of extremal graph theory, which is the topic of this talk. Upon some experimentation, one can make the conjecture that the best thing to do is to split the vertices into two classes, of sizes x and n − x, and then connect any two vertices in different classes. This will not contain a triangle, since by the pigeonhole principle, among any three vertices there will be two in the same class, which will not be adjacent. This construction will have x(n − x) edges, and by the AM-GM inequality, we see that this is maximized when x and n − x are as close as possible; namely, our classes should n n n n n2 1 n have sizes b 2 c and d 2 e. Thus, this graph will have b 2 cd 2 e ≈ 4 ≈ 2 2 edges. Indeed, this is the unique optimal construction, as was proved by Mantel in 1907. In 1941, Tur´anconsidered a natural extension of this problem, where we forbid not a triangle, but instead a larger complete graph Kr+1. As before, a natural construction is to split the vertices into r almost-equal classes and connect all pairs of vertices in different classes. Definition 1. -
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. -
Connectivity 1
Ma/CS 6b Class 5: Graph Connectivity By Adam Sheffer A Connectivity Problem Prove. The vertices of a connected graph 퐺 can always be ordered as 푣1, 푣2, … , 푣푛 such that for every 1 < 푖 ≤ 푛, if we remove 푣푖, 푣푖+1, … , 푣푛 and the edges adjacent to these vertices, 퐺 remains connected. 푣3 푣4 푣1 푣2 푣5 Proof Pick any vertex as 푣1. Pick a vertex that is connected to 푣1 in 퐺 and set it as 푣2. Pick a vertex that is connected either to 푣1 or to 푣2 in 퐺 and set it as 푣3. … Communications Network We are given a set of routers and wish to connect pairs of them to obtain a connected communications network. The network should be reliable – a few malfunctioning routers should not disable the entire network. ◦ What condition should we require from the network? ◦ That after removing any 푘 routers, the network remains connected. 푘-connected Graphs An graph 퐺 = (푉, 퐸) is said to be 푘- connected if 푉 > 푘 and we cannot obtain a non-connected graph by removing 푘 − 1 vertices from 푉. Is the graph in the figure ◦ 1-connected? Yes. ◦ 2-connected? Yes. ◦ 3-connected? No! Connectivity Which graphs are 1-connected? ◦ These are exactly the connected graphs. The connectivity of a graph 퐺 is the maximum integer 푘 such that 퐺 is 푘- connected. What is the connectivity of the complete graph 퐾푛? 푛 − 1. The graph in the figure has a connectivity of 2. Hypercube A hypercube is a generalization of the cube into any dimension.