Hamiltonian Cycle (3A)
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1 Hamiltonian Path
6.S078 Fine-Grained Algorithms and Complexity MIT Lecture 17: Algorithms for Finding Long Paths (Part 1) November 2, 2020 In this lecture and the next, we will introduce a number of algorithmic techniques used in exponential-time and FPT algorithms, through the lens of one parametric problem: Definition 0.1 (k-Path) Given a directed graph G = (V; E) and parameter k, is there a simple path1 in G of length ≥ k? Already for this simple-to-state problem, there are quite a few radically different approaches to solving it faster; we will show you some of them. We’ll see algorithms for the case of k = n (Hamiltonian Path) and then we’ll turn to “parameterizing” these algorithms so they work for all k. A number of papers in bioinformatics have used quick algorithms for k-Path and related problems to analyze various networks that arise in biology (some references are [SIKS05, ADH+08, YLRS+09]). In the following, we always denote the number of vertices jV j in our given graph G = (V; E) by n, and the number of edges jEj by m. We often associate the set of vertices V with the set [n] := f1; : : : ; ng. 1 Hamiltonian Path Before discussing k-Path, it will be useful to first discuss algorithms for the famous NP-complete Hamiltonian path problem, which is the special case where k = n. Essentially all algorithms we discuss here can be adapted to obtain algorithms for k-Path! The naive algorithm for Hamiltonian Path takes time about n! = 2Θ(n log n) to try all possible permutations of the nodes (which can also be adapted to get an O?(k!)-time algorithm for k-Path, as we’ll see). -
Graph Theory 1 Introduction
6.042/18.062J Mathematics for Computer Science March 1, 2005 Srini Devadas and Eric Lehman Lecture Notes Graph Theory 1 Introduction Informally, a graph is a bunch of dots connected by lines. Here is an example of a graph: B H D A F G I C E Sadly, this definition is not precise enough for mathematical discussion. Formally, a graph is a pair of sets (V, E), where: • Vis a nonempty set whose elements are called vertices. • Eis a collection of twoelement subsets of Vcalled edges. The vertices correspond to the dots in the picture, and the edges correspond to the lines. Thus, the dotsandlines diagram above is a pictorial representation of the graph (V, E) where: V={A, B, C, D, E, F, G, H, I} E={{A, B} , {A, C} , {B, D} , {C, D} , {C, E} , {E, F } , {E, G} , {H, I}} . 1.1 Definitions A nuisance in first learning graph theory is that there are so many definitions. They all correspond to intuitive ideas, but can take a while to absorb. Some ideas have multi ple names. For example, graphs are sometimes called networks, vertices are sometimes called nodes, and edges are sometimes called arcs. Even worse, no one can agree on the exact meanings of terms. For example, in our definition, every graph must have at least one vertex. However, other authors permit graphs with no vertices. (The graph with 2 Graph Theory no vertices is the single, stupid counterexample to many wouldbe theorems— so we’re banning it!) This is typical; everyone agrees moreorless what each term means, but dis agrees about weird special cases. -
Blast Domination for Mycielski's Graph of Graphs
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8, Issue-6S3, September 2019 Blast Domination for Mycielski’s Graph of Graphs K. Ameenal Bibi, P.Rajakumari AbstractThe hub of this article is a search on the behavior of is the minimum cardinality of a distance-2 dominating set in the Blast domination and Blast distance-2 domination for 퐺. Mycielski’s graph of some particular graphs and zero divisor graphs. Definition 2.3[7] A non-empty subset 퐷 of 푉 of a connected graph 퐺 is Key Words:Blast domination number, Blast distance-2 called a Blast dominating set, if 퐷 is aconnected dominating domination number, Mycielski’sgraph. set and the induced sub graph < 푉 − 퐷 >is triple connected. The minimum cardinality taken over all such Blast I. INTRODUCTION dominating sets is called the Blast domination number of The concept of triple connected graphs was introduced by 퐺and is denoted by tc . Paulraj Joseph et.al [9]. A graph is said to be triple c (G) connected if any three vertices lie on a path in G. In [6] the Definition2.4 authors introduced triple connected domination number of a graph. A subset D of V of a nontrivial graph G is said to A non-empty subset 퐷 of vertices in a graph 퐺 is a blast betriple connected dominating set, if D is a dominating set distance-2 dominating set if every vertex in 푉 − 퐷 is within and <D> is triple connected. The minimum cardinality taken distance-2 of atleast one vertex in 퐷. -
Determination and Testing the Domination Numbers of Tadpole Graph, Book Graph and Stacked Book Graph Using MATLAB Ayhan A
College of Basic Education Researchers Journal Vol. 10, No. 1 Determination and Testing the Domination Numbers of Tadpole Graph, Book Graph and Stacked Book Graph Using MATLAB Ayhan A. khalil Omar A.Khalil Technical College of Mosul -Foundation of Technical Education Received: 11/4/2010 ; Accepted: 24/6/2010 Abstract: A set is said to be dominating set of G if for every there exists a vertex such that . The minimum cardinality of vertices among dominating set of G is called the domination number of G denoted by . We investigate the domination number of Tadpole graph, Book graph and Stacked Book graph. Also we test our theoretical results in computer by introducing a matlab procedure to find the domination number , dominating set S and draw this graph that illustrates the vertices of domination this graphs. It is proved that: . Keywords: Dominating set, Domination number, Tadpole graph, Book graph, stacked graph. إﯾﺟﺎد واﺧﺗﺑﺎر اﻟﻌدد اﻟﻣﮭﯾﻣن(اﻟﻣﺳﯾطر)Domination number ﻟﻠﺑﯾﺎﻧﺎت ﺗﺎدﺑول (Tadpole graph)، ﺑﯾﺎن ﺑوك (Book graph) وﺑﯾﺎن ﺳﺗﺎﻛﯾت ﺑوك (Stacked Book graph) ﺑﺎﺳﺗﻌﻣﺎل اﻟﻣﺎﺗﻼب أﯾﮭﺎن اﺣﻣد ﺧﻠﯾل ﻋﻣر اﺣﻣد ﺧﻠﯾل اﻟﻛﻠﯾﺔ اﻟﺗﻘﻧﯾﺔ-ﻣوﺻل- ھﯾﺋﺔ اﻟﺗﻌﻠﯾم اﻟﺗﻘﻧﻲ ﻣﻠﺧص اﻟﺑﺣث : ﯾﻘﺎل ﻷﯾﺔ ﻣﺟﻣوﻋﺔ ﺟزﺋﯾﺔ S ﻣن ﻣﺟﻣوﻋﺔ اﻟرؤوس V ﻓﻲ ﺑﯾﺎن G ﺑﺄﻧﻬﺎ ﻣﺟﻣوﻋﺔ ﻣﻬﯾﻣﻧﺔ Dominating set إذا ﻛﺎن ﻟﻛل أرس v ﻓﻲ اﻟﻣﺟﻣوﻋﺔ V-S ﯾوﺟد أرس u ﻓﻲS ﺑﺣﯾث uv ﺿﻣن 491 Ayhan A. & Omar A. ﺣﺎﻓﺎت اﻟﺑﯾﺎن،. وﯾﻌرف اﻟﻌدد اﻟﻣﻬﯾﻣن Domination number ﺑﺄﻧﻪ أﺻﻐر ﻣﺟﻣوﻋﺔ أﺳﺎﺳﯾﺔ ﻣﻬﯾﻣﻧﺔ Domination. ﻓﻲ ﻫذا اﻟﺑﺣث ﺳوف ﻧدرس اﻟﻌدد اﻟﻣﻬﯾﻣن Domination number ﻟﺑﯾﺎن ﺗﺎدﺑول (Tadpole graph) ، ﺑﯾﺎن ﺑوك (Book graph) وﺑﯾﺎن ﺳﺗﺎﻛﯾت ﺑوك ( Stacked Book graph). -
HABILITATION THESIS Petr Gregor Combinatorial Structures In
HABILITATION THESIS Petr Gregor Combinatorial Structures in Hypercubes Computer Science - Theoretical Computer Science Prague, Czech Republic April 2019 Contents Synopsis of the thesis4 List of publications in the thesis7 1 Introduction9 1.1 Hypercubes...................................9 1.2 Queue layouts.................................. 14 1.3 Level-disjoint partitions............................ 19 1.4 Incidence colorings............................... 24 1.5 Distance magic labelings............................ 27 1.6 Parity vertex colorings............................. 29 1.7 Gray codes................................... 30 1.8 Linear extension diameter........................... 36 Summary....................................... 38 2 Queue layouts 51 3 Level-disjoint partitions 63 4 Incidence colorings 125 5 Distance magic labelings 143 6 Parity vertex colorings 149 7 Gray codes 155 8 Linear extension diameter 235 3 Synopsis of the thesis The thesis is compiled as a collection of 12 selected publications on various combinatorial structures in hypercubes accompanied with a commentary in the introduction. In these publications from years between 2012 and 2018 we solve, in some cases at least partially, several open problems or we significantly improve previously known results. The list of publications follows after the synopsis. The thesis is organized into 8 chapters. Chapter 1 is an umbrella introduction that contains background, motivation, and summary of the most interesting results. Chapter 2 studies queue layouts of hypercubes. A queue layout is a linear ordering of vertices together with a partition of edges into sets, called queues, such that in each set no two edges are nested with respect to the ordering. The results in this chapter significantly improve previously known upper and lower bounds on the queue-number of hypercubes associated with these layouts. -
HAMILTONICITY in CAYLEY GRAPHS and DIGRAPHS of FINITE ABELIAN GROUPS. Contents 1. Introduction. 1 2. Graph Theory: Introductory
HAMILTONICITY IN CAYLEY GRAPHS AND DIGRAPHS OF FINITE ABELIAN GROUPS. MARY STELOW Abstract. Cayley graphs and digraphs are introduced, and their importance and utility in group theory is formally shown. Several results are then pre- sented: firstly, it is shown that if G is an abelian group, then G has a Cayley digraph with a Hamiltonian cycle. It is then proven that every Cayley di- graph of a Dedekind group has a Hamiltonian path. Finally, we show that all Cayley graphs of Abelian groups have Hamiltonian cycles. Further results, applications, and significance of the study of Hamiltonicity of Cayley graphs and digraphs are then discussed. Contents 1. Introduction. 1 2. Graph Theory: Introductory Definitions. 2 3. Cayley Graphs and Digraphs. 2 4. Hamiltonian Cycles in Cayley Digraphs of Finite Abelian Groups 5 5. Hamiltonian Paths in Cayley Digraphs of Dedekind Groups. 7 6. Cayley Graphs of Finite Abelian Groups are Guaranteed a Hamiltonian Cycle. 8 7. Conclusion; Further Applications and Research. 9 8. Acknowledgements. 9 References 10 1. Introduction. The topic of Cayley digraphs and graphs exhibits an interesting and important intersection between the world of groups, group theory, and abstract algebra and the world of graph theory and combinatorics. In this paper, I aim to highlight this intersection and to introduce an area in the field for which many basic problems re- main open.The theorems presented are taken from various discrete math journals. Here, these theorems are analyzed and given lengthier treatment in order to be more accessible to those without much background in group or graph theory. -
Constructing Arbitrarily Large Graphs with a Specified Number Of
Electronic Journal of Graph Theory and Applications 4 (1) (2019), 1–8 Constructing Arbitrarily Large Graphs with a Specified Number of Hamiltonian Cycles Michael Haythorpea aSchool of Computer Science, Engineering and Mathematics, Flinders University, 1284 South Road, Clovelly Park, SA 5042, Australia michael.haythorpe@flinders.edu.au Abstract A constructive method is provided that outputs a directed graph which is named a broken crown graph, containing 5n − 9 vertices and k Hamiltonian cycles for any choice of integers n ≥ k ≥ 4. The construction is not designed to be minimal in any sense, but rather to ensure that the graphs produced remain non-trivial instances of the Hamiltonian cycle problem even when k is chosen to be much smaller than n. Keywords: Hamiltonian cycles, Graph Construction, Broken Crown Mathematics Subject Classification : 05C45 1. Introduction The Hamiltonian cycle problem (HCP) is a famous NP-complete problem in which one must determine whether a given graph contains a simple cycle traversing all vertices of the graph, or not. Such a simple cycle is called a Hamiltonian cycle (HC), and a graph containing at least one arXiv:1902.10351v1 [math.CO] 27 Feb 2019 Hamiltonian cycle is said to be a Hamiltonian graph. Typically, randomly generated graphs (such as Erdos-R˝ enyi´ graphs), if connected, are Hamil- tonian and contain many Hamiltonian cycles. Although HCP is an NP-complete problem, for these graphs it is often fairly easy for a sophisticated heuristic (e.g. see Concorde [1], Keld Helsgaun’s LKH [4] or Snakes-and-ladders Heuristic [2]) to discover one of the multitude of Hamiltonian cy- cles through a clever search. -
The Cube of Every Connected Graph Is 1-Hamiltonian
JOURNAL OF RESEARCH of the National Bureau of Standards- B. Mathematical Sciences Vol. 73B, No.1, January- March 1969 The Cube of Every Connected Graph is l-Hamiltonian * Gary Chartrand and S. F. Kapoor** (November 15,1968) Let G be any connected graph on 4 or more points. The graph G3 has as its point set that of C, and two distinct pointE U and v are adjacent in G3 if and only if the distance betwee n u and v in G is at most three. It is shown that not only is G" hamiltonian, but the removal of any point from G" still yields a hamiltonian graph. Key Words: C ube of a graph; graph; hamiltonian. Let G be a graph (finite, undirected, with no loops or multiple lines). A waLk of G is a finite alternating sequence of points and lines of G, beginning and ending with a point and where each line is incident with the points immediately preceding and followin g it. A walk in which no point is repeated is called a path; the Length of a path is the number of lines in it. A graph G is connected if between every pair of distinct points there exists a path, and for such a graph, the distance between two points u and v is defined as the length of the shortest path if u 0;1= v and zero if u = v. A walk with at least three points in which the first and last points are the same but all other points are dis tinct is called a cycle. -
A Survey of Line Graphs and Hamiltonian Paths Meagan Field
University of Texas at Tyler Scholar Works at UT Tyler Math Theses Math Spring 5-7-2012 A Survey of Line Graphs and Hamiltonian Paths Meagan Field Follow this and additional works at: https://scholarworks.uttyler.edu/math_grad Part of the Mathematics Commons Recommended Citation Field, Meagan, "A Survey of Line Graphs and Hamiltonian Paths" (2012). Math Theses. Paper 3. http://hdl.handle.net/10950/86 This Thesis is brought to you for free and open access by the Math at Scholar Works at UT Tyler. It has been accepted for inclusion in Math Theses by an authorized administrator of Scholar Works at UT Tyler. For more information, please contact [email protected]. A SURVEY OF LINE GRAPHS AND HAMILTONIAN PATHS by MEAGAN FIELD A thesis submitted in partial fulfillment of the requirements for the degree of Master’s of Science Department of Mathematics Christina Graves, Ph.D., Committee Chair College of Arts and Sciences The University of Texas at Tyler May 2012 Contents List of Figures .................................. ii Abstract ...................................... iii 1 Definitions ................................... 1 2 Background for Hamiltonian Paths and Line Graphs ........ 11 3 Proof of Theorem 2.2 ............................ 17 4 Conclusion ................................... 34 References ..................................... 35 i List of Figures 1GraphG..................................1 2GandL(G)................................3 3Clawgraph................................4 4Claw-freegraph..............................4 5Graphwithaclawasaninducedsubgraph...............4 6GraphP .................................. 7 7AgraphCcontainingcomponents....................8 8Asimplegraph,Q............................9 9 First and second step using R2..................... 9 10 Third and fourth step using R2..................... 10 11 Graph D and its reduced graph R(D).................. 10 12 S5 and its line graph, K5 ......................... 13 13 S8 and its line graph, K8 ......................... 14 14 Line graph of graph P ......................... -
Dominating Cycles in Halin Graphs*
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Discrete Mathematics 86 (1990) 215-224 215 North-Holland DOMINATING CYCLES IN HALIN GRAPHS* Mirosiawa SKOWRONSKA Institute of Mathematics, Copernicus University, Chopina 12/18, 87-100 Torun’, Poland Maciej M. SYStO Institute of Computer Science, University of Wroclaw, Przesmyckiego 20, 51-151 Wroclaw, Poland Received 2 December 1988 A cycle in a graph is dominating if every vertex lies at distance at most one from the cycle and a cycle is D-cycle if every edge is incident with a vertex of the cycle. In this paper, first we provide recursive formulae for finding a shortest dominating cycle in a Hahn graph; minor modifications can give formulae for finding a shortest D-cycle. Then, dominating cycles and D-cycles in a Halin graph H are characterized in terms of the cycle graph, the intersection graph of the faces of H. 1. Preliminaries The various domination problems have been extensively studied. Among them is the problem whether a graph has a dominating cycle. All graphs in this paper have no loops and multiple edges. A dominating cycle in a graph G = (V(G), E(G)) is a subgraph C of G which is a cycle and every vertex of V(G) \ V(C) is adjacent to a vertex of C. There are graphs which have no dominating cycles, and moreover, determining whether a graph has a dominating cycle on at most 1 vertices is NP-complete even in the class of planar graphs [7], chordal, bipartite and split graphs [3]. -
Matchings Extend to Hamiltonian Cycles in 5-Cube 1
Discussiones Mathematicae Graph Theory 38 (2018) 217–231 doi:10.7151/dmgt.2010 MATCHINGS EXTEND TO HAMILTONIAN CYCLES IN 5-CUBE 1 Fan Wang 2 School of Sciences Nanchang University Nanchang, Jiangxi 330000, P.R. China e-mail: [email protected] and Weisheng Zhao Institute for Interdisciplinary Research Jianghan University Wuhan, Hubei 430056, P.R. China e-mail: [email protected] Abstract Ruskey and Savage asked the following question: Does every matching in a hypercube Qn for n ≥ 2 extend to a Hamiltonian cycle of Qn? Fink con- firmed that every perfect matching can be extended to a Hamiltonian cycle of Qn, thus solved Kreweras’ conjecture. Also, Fink pointed out that every matching can be extended to a Hamiltonian cycle of Qn for n ∈ {2, 3, 4}. In this paper, we prove that every matching in Q5 can be extended to a Hamiltonian cycle of Q5. Keywords: hypercube, Hamiltonian cycle, matching. 2010 Mathematics Subject Classification: 05C38, 05C45. 1This work is supported by NSFC (grant nos. 11501282 and 11261019) and the science and technology project of Jiangxi Provincial Department of Education (grant No. 20161BAB201030). 2Corresponding author. 218 F. Wang and W. Zhao 1. Introduction Let [n] denote the set {1,...,n}. The n-dimensional hypercube Qn is a graph whose vertex set consists of all binary strings of length n, i.e., V (Qn) = {u : u = u1 ··· un and ui ∈ {0, 1} for every i ∈ [n]}, with two vertices being adjacent whenever the corresponding strings differ in just one position. The hypercube Qn is one of the most popular and efficient interconnection networks. -
Are Highly Connected 1-Planar Graphs Hamiltonian? Arxiv:1911.02153V1 [Cs.DM] 6 Nov 2019
Are highly connected 1-planar graphs Hamiltonian? Therese Biedl Abstract It is well-known that every planar 4-connected graph has a Hamiltonian cycle. In this paper, we study the question whether every 1-planar 4-connected graph has a Hamiltonian cycle. We show that this is false in general, even for 5-connected graphs, but true if the graph has a 1-planar drawing where every region is a triangle. 1 Introduction Planar graphs are graphs that can be drawn without crossings. They have been one of the central areas of study in graph theory and graph algorithms, and there are numerous results both for how to solve problems more easily on planar graphs and how to draw planar graphs (see e.g. [1, 9, 10])). We are here interested in a theorem by Tutte [17] that states that every planar 4-connected graph has a Hamiltonian cycle (definitions are in the next section). This was an improvement over an earlier result by Whitney that proved the existence of a Hamiltonian cycle in a 4-connected triangulated planar graph. There have been many generalizations and improvements since; in particular we can additionally fix the endpoints and one edge that the Hamiltonian cycle must use [16, 12]. Also, 4-connected planar graphs remain Hamiltonian even after deleting 2 vertices [14]. Hamiltonian cycles in planar graphs can be computed in linear time; this is quite straightforward if the graph is triangulated [2] and a bit more involved for general 4-connected planar graphs [5]. There are many graphs that are near-planar, i.e., that are \close" to planar graphs.