Some Polycubes Have No Edge Zipper Unfolding∗
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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. -
Sonobe Assembly Guide for a Few Polyhedra
Model Shape # of Units Finished Unit to Fold Crease Pattern Toshie Takahama’s 3 Jewel Cube 6 Large Cube 12 Octahedral Assembly 12 Icosahedral Assembly 30 Spiked Pentakis Dodecahedral 60 Assembly Dodecahedral 90 Assembly 2 Sonobe Variations Sonobe Assembly Basics Sonobe assemblies are essentially “pyramidized” constructing a polyhedron, the key thing to re- polyhedra, each pyramid consisting of three So- member is that the diagonal ab of each Sonobe nobe units. The figure below shows a generic So- unit will lie along an edge of the polyhedron. nobe unit and how to form one pyramid. When a Pocket Tab Forming one Tab pyramid Pocket b A generic Sonobe unit representation Sonobe Assembly Guide for a Few Polyhedra 1. Toshie’s Jewel: Crease three finished units as tabs and pockets. This assembly is also sometimes explained in the table on page 2. Form a pyramid known as a Crane Egg. as above. Then turn the assembly upside down 2. Cube Assembly: Crease six finished units as and make another pyramid with the three loose explained in the table on page 2. Each face will be made up of 3 the center square of one unit and the tabs of two other units. 4 Do Steps 1 and 2 to form one face. Do Steps 3 and 4 to form one corner or vertex. Continue 1 2 interlocking in this manner to arrive at the finished cube. Sonobe Variations 3 3. Large Cube Assembly: Crease 12 finished units as explained on page 2. 5 6 3 The 12-unit large cube is the only assembly that does not involve pyramidizing. -
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. -
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 ......................... -
A Survey of Folding and Unfolding in Computational Geometry
Combinatorial and Computational Geometry MSRI Publications Volume 52, 2005 A Survey of Folding and Unfolding in Computational Geometry ERIK D. DEMAINE AND JOSEPH O’ROURKE Abstract. We survey results in a recent branch of computational geome- try: folding and unfolding of linkages, paper, and polyhedra. Contents 1. Introduction 168 2. Linkages 168 2.1. Definitions and fundamental questions 168 2.2. Fundamental questions in 2D 171 2.3. Fundamental questions in 3D 175 2.4. Fundamental questions in 4D and higher dimensions 181 2.5. Protein folding 181 3. Paper 183 3.1. Categorization 184 3.2. Origami design 185 3.3. Origami foldability 189 3.4. Flattening polyhedra 191 4. Polyhedra 193 4.1. Unfolding polyhedra 193 4.2. Folding polygons into convex polyhedra 196 4.3. Folding nets into nonconvex polyhedra 199 4.4. Continuously folding polyhedra 200 5. Conclusion and Higher Dimensions 201 Acknowledgements 202 References 202 Demaine was supported by NSF CAREER award CCF-0347776. O’Rourke was supported by NSF Distinguished Teaching Scholars award DUE-0123154. 167 168 ERIKD.DEMAINEANDJOSEPHO’ROURKE 1. Introduction Folding and unfolding problems have been implicit since Albrecht D¨urer [1525], but have not been studied extensively in the mathematical literature until re- cently. Over the past few years, there has been a surge of interest in these problems in discrete and computational geometry. This paper gives a brief sur- vey of most of the work in this area. Related, shorter surveys are [Connelly and Demaine 2004; Demaine 2001; Demaine and Demaine 2002; O’Rourke 2000]. We are currently preparing a monograph on the topic [Demaine and O’Rourke ≥ 2005]. -
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. -
Arxiv:2105.14305V1 [Cs.CG] 29 May 2021
Efficient Folding Algorithms for Regular Polyhedra ∗ Tonan Kamata1 Akira Kadoguchi2 Takashi Horiyama3 Ryuhei Uehara1 1 School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan fkamata,[email protected] 2 Intelligent Vision & Image Systems (IVIS), Tokyo, Japan [email protected] 3 Faculty of Information Science and Technology, Hokkaido University, Hokkaido, Japan [email protected] Abstract We investigate the folding problem that asks if a polygon P can be folded to a polyhedron Q for given P and Q. Recently, an efficient algorithm for this problem has been developed when Q is a box. We extend this idea to regular polyhedra, also known as Platonic solids. The basic idea of our algorithms is common, which is called stamping. However, the computational complexities of them are different depending on their geometric properties. We developed four algorithms for the problem as follows. (1) An algorithm for a regular tetrahedron, which can be extended to a tetramonohedron. (2) An algorithm for a regular hexahedron (or a cube), which is much efficient than the previously known one. (3) An algorithm for a general deltahedron, which contains the cases that Q is a regular octahedron or a regular icosahedron. (4) An algorithm for a regular dodecahedron. Combining these algorithms, we can conclude that the folding problem can be solved pseudo-polynomial time when Q is a regular polyhedron and other related solid. Keywords: Computational origami folding problem pseudo-polynomial time algorithm regular poly- hedron (Platonic solids) stamping 1 Introduction In 1525, the German painter Albrecht D¨urerpublished his masterwork on geometry [5], whose title translates as \On Teaching Measurement with a Compass and Straightedge for lines, planes, and whole bodies." In the book, he presented each polyhedron by drawing a net, which is an unfolding of the surface of the polyhedron to a planar layout without overlapping by cutting along its edges. -
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. -
Universal Folding Pathways of Polyhedron Nets
Universal folding pathways of polyhedron nets Paul M. Dodda, Pablo F. Damascenob, and Sharon C. Glotzera,b,c,d,1 aChemical Engineering Department, University of Michigan, Ann Arbor, MI 48109; bApplied Physics Program, University of Michigan, Ann Arbor, MI 48109; cDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109; and dBiointerfaces Institute, University of Michigan, Ann Arbor, MI 48109 Contributed by Sharon C. Glotzer, June 6, 2018 (sent for review January 17, 2018; reviewed by Nuno Araujo and Andrew L. Ferguson) Low-dimensional objects such as molecular strands, ladders, and navigate, thermodynamically, from a denatured (unfolded) state sheets have intrinsic features that affect their propensity to fold to a natured (folded) one. Even after many decades of study, into 3D objects. Understanding this relationship remains a chal- however, a universal relationship between molecular sequence lenge for de novo design of functional structures. Using molecular and folded state—which could provide crucial insight into the dynamics simulations, we investigate the refolding of the 24 causes and potential treatments of many diseases—remains out possible 2D unfoldings (“nets”) of the three simplest Platonic of reach (11–13). shapes and demonstrate that attributes of a net’s topology— In this work, we study the thermodynamic foldability of 2D net compactness and leaves on the cutting graph—correlate nets for all five Platonic solids. Despite being the simplest and with thermodynamic folding propensity. To