The Contact Number Problem in Two and Three Dimensions

Total Page:16

File Type:pdf, Size:1020Kb

The Contact Number Problem in Two and Three Dimensions University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies The Vault: Electronic Theses and Dissertations 2016 The Contact Number Problem in Two and Three Dimensions Foerster, Melanie Foerster, M. (2016). The Contact Number Problem in Two and Three Dimensions (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/28036 http://hdl.handle.net/11023/3302 master thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca UNIVERSITY OF CALGARY The Contact Number Problem in Two and Three Dimensions by Melanie Foerster A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE GRADUATE PROGRAM IN MATHEMATICS AND STATISTICS CALGARY, ALBERTA September, 2016 c Melanie Foerster 2016 Abstract Given a packing of balls in two or three dimensions we want to maximize the number of contacts in the packing. This is referred to as the contact number problem. A packing of balls is totally separable if every two balls can be separated by a hyperplane that is disjoint from the interior of each ball. In this thesis we study the contact number problem for packings of congruent and incongruent balls in two and three dimensions, and we consider the totally separable version of each problem. ii Acknowledgements This thesis would not have been possible without the support of many important individuals. Most notably, I would like to extend sincere thanks to Dr. K´arolyBezdek. You have been an incredible, and invaluable, support both personally and academically over the last two years. It has been an honour to work with you. I will be forever grateful for your generosity. Thank you to my friends from coast to coast, especially my officemates Muhammad Khan, Michael Oliwa, and Trevor Song. This journey was made more successful with your help and encouragement. Special thanks to Dr. Robert Dawson and Dr. Dorette Pronk for igniting my love of research while I was studying in Halifax. Your support, and our stimulating mathematical conversations, have encouraged me throughout my studies. iii Table of Contents Abstract ii Acknowledgements iii Table of Contents iv List of Figures v List of Key Symbols vi 1 Introduction 1 1.1 Kissing Number . 1 1.2 Contact Number . 2 1.3 Motivation from Material Science . 3 1.4 Notation . 5 2 The Contact Number Problem in Two Dimensions 6 2.1 The Contact Number Problem for Congruent Disks . 6 2.1.1 Harborth's Theorem . 6 2.1.2 Harborth's Theorem for Totally Separable Packings . 10 2.1.3 Digital Packings . 15 2.2 The Contact Number Problem for Incongruent Disks . 16 2.2.1 Koebe-Andreev-Thurston Representation Theorem . 16 2.2.2 Totally Separable Incongruent Packings . 23 3 The Contact Number Problem in Three Dimensions 28 3.1 The Contact Number Problem for Congruent Balls . 28 3.1.1 Voronoi Diagrams . 28 3.1.2 The Isoperimetric Inequality . 29 3.1.3 Congruent Ball Packings . 32 3.1.4 Totally Separable Congruent Ball Packings . 42 3.2 The Contact Number Problem for Incongruent Balls . 49 3.2.1 Kuperberg-Schramm Theorem . 50 3.2.2 Totally Separable Incongruent Ball Packings . 57 Bibliography 58 iv List of Figures 1.1 Kissing number . 2 1.2 Contact graph . 3 1.3 Totally separable packing . 4 2.1 Contact graph . 7 2.2 Contact graph after polygon deletion . 9 2.3 Congruent packing . 11 2.4 Contact graph of a totally separable packing . 12 2.5 Contact graph of a totally separable packing after polygon deletion . 13 2.6 Totally separable congruent digital packing . 15 2.7 Incongruent packing . 16 2.8 Wooden triangles . 18 2.9 Simplex in R3 ................................... 19 2.10 Wooden triangle vertex converging to π ..................... 20 2.11 Decomposition of a polygon by lines . 24 2.12 Decomposition of a polygon into convex polygons . 24 2.13 Totally separable incongruent packing in a triangle . 25 2.14 Totally separable incongruent packing . 26 2.15 Totally separable incongruent packing of 7 disks . 26 2.16 Totally separable incongruent packing of 10 disks . 27 3.1 Voronoi diagrams . 29 3.2 Triangle 4o1pq ................................. 33 3.3 Plane reflections . 34 3.4 Voronoi cells for a packing . 36 3.5 Surface volume contribution . 40 3.6 Voronoi cells for a totally separable packing . 45 3.7 Overlapping expanded balls . 48 3.8 Intersection of S(B) and S(C).......................... 52 3.9 Definition of width . 53 3.10 Width in terms of θ and ρr(B) ......................... 53 v List of Key Symbols Symbol or abbreviation Definition bxc Lower integer of x jE(G)j Number of edges in the graph G GnH Graph H deleted from the graph G bd(x) Boundary of x vol3(x) 3-dimensional volume of x svol2(x) 2-dimensional surface volume of x vi Chapter 1 Introduction Discrete geometry is the study of finite sets of points, lines, balls, convex sets, and convex polytopes. In discrete geometry, questions are focused on combinatorial properties. Such questions include: How many regions can a set of lines partition the plane into? How many times does the minimum distance occur in a set of points in the plane? Some problems date back hundreds of years, and many problems are motivated by other areas of mathematics and science; techniques used in discrete geometry are thus of great use to other disciplines [24]. 1.1 Kissing Number In order to discuss the contact number problem we first must describe the kissing number problem. The kissing number, denoted k(d), is the number of non-overlapping unit balls (of unit radius) that can touch a given unit ball in the d-dimensional Euclidean space Ed. The kissing number problem asks for the largest number of unit balls that can touch a given unit ball without overlap. The problem arose from a 1694 disagreement between Newton and Gregory regarding the number of 3-dimensional unit balls that could touch a central unit ball without overlap [8]. Newton thought the answer was 12, whereas Gregory believed the answer was 13. The question was answered many years later when Newton was proved 1 correct [34]. Figure 1.1: The kissing number in two dimensions, k(2) = 6. The known values of k(d) are k(2) = 6 (trivial, see Figure 1.1), k(3) = 12 ([34]), k(4) = 24 ([27]), k(8) = 240 ([28]), and k(24) = 196560 ([28]). The kissing number problem is closely related to the more general problem of finding bounds for optimal ball packings. 1.2 Contact Number A finite packing of balls in Ed is a finite family of non-overlapping balls in Ed. In this thesis, we only consider finite packings, so we will use \packing" to refer to a “finite packing". The contact graph of a packing of balls in Ed is a graph whose vertices correspond to the packing elements and whose two vertices are adjacent if and only if the corresponding packing elements touch each other. Figure 1.2 is an example of a packing with its corresponding contact graph. The number of edges in a contact graph is the contact number of the packing. The contact number problem asks for the largest possible contact number c(n) of a contact graph. That is, the maximum number of edges that a contact graph of n non-overlapping balls can have in Ed. The contact number problem is equivalent to Erd}os'srepeated shortest distance problem, which asks for the largest number of repeated shortest distances among n points in Ed. The planar case was first raised by Erd}osin 1946 [11]. Reutter conjectured an answer in 1972, 2 Figure 1.2: A packing with its corresponding contact graph. which was proved by Harborth in 1974 [16]. The more general forms of the problem were popularized by Erd}osand Ulam. As a close combinatorial relative, it is natural to investigate the maximum contact number of totally separable packings of balls in Ed. The notion of totally separable packings is an extension of separable domains, first introduced by Erd}os.Total separability was introduced in [12] by G. Fejes T´othand L. Fejes T´oth. A packing of balls in Ed is totally separable if every two balls can be separated by a hyperplane in Ed such that it is disjoint from the interior of each ball in the packing. An example of a totally separable packing in the plane is shown in Figure 1.3. The two dimensional version of the contact number problem for totally separable packings will be explored in Sections 2.1.2 and 2.2.2, and in three dimensions in Sections 3.1.4 and 3.2.2. 1.3 Motivation from Material Science As previously mentioned, discrete geometric techniques are of great use in other disciplines. In particular, the contact number problem has many important applications. Consider balls that are impenetrable and have short-range attractive forces. Packings of these balls are excellent models for materials such as powders, gels, and glasses [18]. The particles in these 3 Figure 1.3: A totally separable packing. materials are like hard balls that self-assemble due to their attractive forces. This process of self-assembly is of great interest to material scientists, chemists, statistical physicists, and biologists.
Recommended publications
  • Kissing Numbers: Surprises in Dimension Four Günter M
    Kissing numbers: Surprises in Dimension Four Günter M. Ziegler, TU Berlin The “kissing number problem” is a basic geometric problem that got its name from billards: Two balls “kiss” if they touch. The kissing number problem asks how many other balls can touch one given ball at the same time. If you arrange the balls on a pool ta- ble, it is easy to see that the answer is exactly six: Six balls just perfectly surround a given ball. Graphic: Detlev Stalling, ZIB Berlin and at the same time Vladimir I. Levenstein˘ in Russia proved that the correct, exact maximal numbers for the kissing number prob- lem are 240 in dimension 8, and 196560 in dimension 24. This is amazing, because these are also the only two dimensions where one knows a precise answer. It depends on the fact that mathemati- cians know very remarkable configurations in dimensions 8 and 24, which they call the E8 lattice and the Leech lattice, respectively. If, however, you think about this as a three-dimensional problem, So the kissing number problem remained unsolved, in particular, the question “how many balls can touch a given ball at the same for the case of dimension four. The so-called 24-cell, a four- time” becomes much more interesting — and quite complicated. In dimensional “platonic solid” of remarkable beauty (next page), fact, The 17th century scientific genius Sir Isaac Newton and his yields a configuration of 24 balls that would touch a given one in colleague David Gregory had a controversy about this in 1694 — four-dimensional space.
    [Show full text]
  • Gazette Des Mathématiciens
    JUILLET 2018 – No 157 la Gazette des Mathématiciens • Autour du Prix Fermat • Mathématiques – Processus ponctuels déterminantaux • Raconte-moi... le champ libre gaussien • Tribune libre – Quelle(s) application(s) pour le plan Torossian-Villani la GazetteComité de rédaction des Mathématiciens Rédacteur en chef Sébastien Gouëzel Boris Adamczewski Université de Nantes Institut Camille Jordan, Lyon [email protected] [email protected] Sophie Grivaux Rédacteurs Université de Lille [email protected] Thomas Alazard École Normale Supérieure de Paris-Saclay [email protected] Fanny Kassel IHÉS Maxime Bourrigan [email protected] Lycée Saint-Geneviève, Versailles [email protected] Pauline Lafitte Christophe Eckès École Centrale, Paris Archives Henri Poincaré, Nancy [email protected] [email protected] Damien Gayet Romain Tessera Institut Fourier, Grenoble Université Paris-Sud [email protected] [email protected] Secrétariat de rédaction : smf – Claire Ropartz Institut Henri Poincaré 11 rue Pierre et Marie Curie 75231 Paris cedex 05 Tél. : 01 44 27 67 96 – Fax : 01 40 46 90 96 [email protected] – http://smf.emath.fr Directeur de la publication : Stéphane Seuret issn : 0224-8999 À propos de la couverture. Cette image réalisée par Alejandro Rivera (Institut Fourier) est le graphe de la partie positive du champ libre gaussien sur le tore plat 2=(2á2) projeté sur la somme des espaces propres du laplacien de valeur propre plus petite que 500. Les textures et couleurs ajoutées sur le graphe sont pure- ment décoratives. La fonction a été calculée avec C++ comme une somme de polynômes trigonométriques avec des poids aléatoires bien choisis, le graphe a été réalisé sur Python et les textures et couleurs ont été réalisées avec gimp.
    [Show full text]
  • Local Covering Optimality of Lattices: Leech Lattice Versus Root Lattice E8
    Local Covering Optimality of Lattices: Leech Lattice versus Root Lattice E8 Achill Sch¨urmann, Frank Vallentin ∗ 10th November 2004 Abstract We show that the Leech lattice gives a sphere covering which is locally least dense among lattice coverings. We show that a similar result is false for the root lattice E8. For this we construct a less dense covering lattice whose Delone subdivision has a common refinement with the Delone subdivision of E8. The new lattice yields a sphere covering which is more than 12% less dense than the formerly ∗ best known given by the lattice A8. Currently, the Leech lattice is the first and only known example of a locally optimal lattice covering having a non-simplicial Delone subdivision. We hereby in particular answer a question of Dickson posed in 1968. By showing that the Leech lattice is rigid our answer is even strongest possible in a sense. 1 Introduction The Leech lattice is the exceptional lattice in dimension 24. Soon after its discovery by Leech [Lee67] it was conjectured that it is extremal for several geometric problems in R24: the kissing number problem, the sphere packing problem and the sphere covering problem. In 1979, Odlyzko and Sloane and independently Levenshtein solved the kissing number problem in dimension 24 by showing that the Leech lattice gives an optimal solution. Two years later, Bannai and Sloane showed that it gives the unique solution up to isometries (see [CS88], Ch. 13, 14). Unlike the kissing number problem, the other two problems are still open. Recently, Cohn and Kumar [CK04] showed that the Leech lattice gives the unique densest lattice sphere packing in R24.
    [Show full text]
  • The BEST WRITING on MATHEMATICS
    The BEST WRITING on MATHEMATICS 2012 The BEST WRITING on MATHEMATICS 2012 Mircea Pitici, Editor FOREWORD BY DAVID MUMFORD P RI NC E TO N U N IVER S I T Y P RE SS P RI NC E TO N A N D OX FORD Copyright © 2013 by Princeton University Press Published by Princeton University Press, 41 William Street, Princeton, New Jersey 08540 In the United Kingdom: Princeton University Press, 6 Oxford Street, Woodstock, Oxfordshire OX20 1TW press.princeton.edu All Rights Reserved ISBN 978- 0- 691-15655-2 This book has been composed in Perpetua Printed on acid- free paper. ∞ Printed in the United States of America 1 3 5 7 9 10 8 6 4 2 For my parents Contents Foreword: The Synergy of Pure and Applied Mathematics, of the Abstract and the Concrete DAVID MUMFORD ix Introduction MIRCEA PITICI xvii Why Math Works MARIO LIVIO 1 Is Mathematics Discovered or Invented? TIMOTHY GOWERS 8 The Unplanned Impact of Mathematics PETER ROWLETT 21 An Adventure in the Nth Dimension BRIAN HAYES 30 Structure and Randomness in the Prime Numbers TERENCE TAO 43 The Strangest Numbers in String Theory JOHN C. BAEZ AND JOHN HUERTA 50 Mathematics Meets Photography: The Viewable Sphere DAVID SWART AND BRUCE TORRENCE 61 Dancing Mathematics and the Mathematics of Dance SARAH- MARIE BELCASTRO AND KARL SCHAFFER 79 Can One Hear the Sound of a Theorem? ROB SCHNEIDERMAN 93 Flat- Unfoldability and Woven Origami Tessellations ROBERT J. LANG 113 A Continuous Path from High School Calculus to University Analysis TIMOTHY GOWERS 129 viii Contents Mathematics Teachers’ Subtle, Complex Disciplinary Knowledge BRENT DAVIS 135 How to Be a Good Teacher Is an Undecidable Problem ERICA FLAPAN 141 How Your Philosophy of Mathematics Impacts Your Teaching BONNIE GOLD 149 Variables in Mathematics Education SUSANNA S.
    [Show full text]
  • Mathematical Circus & 'Martin Gardner
    MARTIN GARDNE MATHEMATICAL ;MATH EMATICAL ASSOCIATION J OF AMERICA MATHEMATICAL CIRCUS & 'MARTIN GARDNER THE MATHEMATICAL ASSOCIATION OF AMERICA Washington, DC 1992 MATHEMATICAL More Puzzles, Games, Paradoxes, and Other Mathematical Entertainments from Scientific American with a Preface by Donald Knuth, A Postscript, from the Author, and a new Bibliography by Mr. Gardner, Thoughts from Readers, and 105 Drawings and Published in the United States of America by The Mathematical Association of America Copyright O 1968,1969,1970,1971,1979,1981,1992by Martin Gardner. All riglhts reserved under International and Pan-American Copyright Conventions. An MAA Spectrum book This book was updated and revised from the 1981 edition published by Vantage Books, New York. Most of this book originally appeared in slightly different form in Scientific American. Library of Congress Catalog Card Number 92-060996 ISBN 0-88385-506-2 Manufactured in the United States of America For Donald E. Knuth, extraordinary mathematician, computer scientist, writer, musician, humorist, recreational math buff, and much more SPECTRUM SERIES Published by THE MATHEMATICAL ASSOCIATION OF AMERICA Committee on Publications ANDREW STERRETT, JR.,Chairman Spectrum Editorial Board ROGER HORN, Chairman SABRA ANDERSON BART BRADEN UNDERWOOD DUDLEY HUGH M. EDGAR JEANNE LADUKE LESTER H. LANGE MARY PARKER MPP.a (@ SPECTRUM Also by Martin Gardner from The Mathematical Association of America 1529 Eighteenth Street, N.W. Washington, D. C. 20036 (202) 387- 5200 Riddles of the Sphinx and Other Mathematical Puzzle Tales Mathematical Carnival Mathematical Magic Show Contents Preface xi .. Introduction Xlll 1. Optical Illusions 3 Answers on page 14 2. Matches 16 Answers on page 27 3.
    [Show full text]
  • Basic Understanding of Condensed Phases of Matter Via Packing Models S
    Perspective: Basic understanding of condensed phases of matter via packing models S. Torquato Citation: The Journal of Chemical Physics 149, 020901 (2018); doi: 10.1063/1.5036657 View online: https://doi.org/10.1063/1.5036657 View Table of Contents: http://aip.scitation.org/toc/jcp/149/2 Published by the American Institute of Physics Articles you may be interested in Announcement: Top reviewers for The Journal of Chemical Physics 2017 The Journal of Chemical Physics 149, 010201 (2018); 10.1063/1.5043197 Perspective: How to understand electronic friction The Journal of Chemical Physics 148, 230901 (2018); 10.1063/1.5035412 Aqueous solvation from the water perspective The Journal of Chemical Physics 148, 234505 (2018); 10.1063/1.5034225 Perspective: Ring-polymer instanton theory The Journal of Chemical Physics 148, 200901 (2018); 10.1063/1.5028352 Communication: Contact values of pair distribution functions in colloidal hard disks by test-particle insertion The Journal of Chemical Physics 148, 241102 (2018); 10.1063/1.5038668 Adaptive resolution molecular dynamics technique: Down to the essential The Journal of Chemical Physics 149, 024104 (2018); 10.1063/1.5031206 THE JOURNAL OF CHEMICAL PHYSICS 149, 020901 (2018) Perspective: Basic understanding of condensed phases of matter via packing models S. Torquatoa) Department of Chemistry, Department of Physics, Princeton Center for Theoretical Science, Princeton Institute for the Science and Technology of Materials, and Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey 08544, USA (Received 17 April 2018; accepted 14 June 2018; published online 10 July 2018) Packing problems have been a source of fascination for millennia and their study has produced a rich literature that spans numerous disciplines.
    [Show full text]
  • Sphere Packing, Lattice Packing, and Related Problems
    Sphere packing, lattice packing, and related problems Abhinav Kumar Stony Brook April 25, 2018 Sphere packings Definition n A sphere packing in R is a collection of spheres/balls of equal size which do not overlap (except for touching). The density of a sphere packing is the volume fraction of space occupied by the balls. ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ In dimension 1, we can achieve density 1 by laying intervals end to end. In dimension 2, the best possible is by using the hexagonal lattice. [Fejes T´oth1940] Sphere packing problem n Problem: Find a/the densest sphere packing(s) in R . In dimension 2, the best possible is by using the hexagonal lattice. [Fejes T´oth1940] Sphere packing problem n Problem: Find a/the densest sphere packing(s) in R . In dimension 1, we can achieve density 1 by laying intervals end to end. Sphere packing problem n Problem: Find a/the densest sphere packing(s) in R . In dimension 1, we can achieve density 1 by laying intervals end to end. In dimension 2, the best possible is by using the hexagonal lattice. [Fejes T´oth1940] Sphere packing problem II In dimension 3, the best possible way is to stack layers of the solution in 2 dimensions. This is Kepler's conjecture, now a theorem of Hales and collaborators. mmm m mmm m There are infinitely (in fact, uncountably) many ways of doing this! These are the Barlow packings. Face centered cubic packing Image: Greg A L (Wikipedia), CC BY-SA 3.0 license But (until very recently!) no proofs. In very high dimensions (say ≥ 1000) densest packings are likely to be close to disordered.
    [Show full text]
  • New Upper Bounds for Kissing Numbers from Semidefinite Programming
    JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY Volume 21, Number 3, July 2008, Pages 909–924 S 0894-0347(07)00589-9 Article electronically published on November 29, 2007 NEW UPPER BOUNDS FOR KISSING NUMBERS FROM SEMIDEFINITE PROGRAMMING CHRISTINE BACHOC AND FRANK VALLENTIN 1. Introduction In geometry, the kissing number problem asks for the maximum number τn of unit spheres that can simultaneously touch the unit sphere in n-dimensional Euclidean space without pairwise overlapping. The value of τn is only known for n =1, 2, 3, 4, 8, 24. While its determination for n =1, 2 is trivial, it is not the case for other values of n. The case n = 3 was the object of a famous discussion between Isaac Newton and David Gregory in 1694. For a historical perspective of this discussion we refer to [6]. The first valid proof of the fact “τ3 = 12”, as in the icosahedron configuration, was only given in 1953 by K. Sch¨utte and B.L. van der Waerden in [23]. In the 1970s, P. Delsarte developed a method, initially aimed at bounding codes on finite fields (see [8]) that yields an upper bound for τn as a solution of a linear program and more generally yields an upper bound for the size of spherical codes of given minimal distance. We shall refer to this method as the LP method. With this method, A.M. Odlyzko and N.J.A. Sloane ([16]), and independently V.I. Leven- shtein ([14]), proved τ8 = 240 and τ24 = 196560 which are, respectively, the number of shortest vectors in the root lattice E8 and in the Leech lattice.
    [Show full text]
  • Focm 2017 Foundations of Computational Mathematics Barcelona, July 10Th-19Th, 2017 Organized in Partnership With
    FoCM 2017 Foundations of Computational Mathematics Barcelona, July 10th-19th, 2017 http://www.ub.edu/focm2017 Organized in partnership with Workshops Approximation Theory Computational Algebraic Geometry Computational Dynamics Computational Harmonic Analysis and Compressive Sensing Computational Mathematical Biology with emphasis on the Genome Computational Number Theory Computational Geometry and Topology Continuous Optimization Foundations of Numerical PDEs Geometric Integration and Computational Mechanics Graph Theory and Combinatorics Information-Based Complexity Learning Theory Plenary Speakers Mathematical Foundations of Data Assimilation and Inverse Problems Multiresolution and Adaptivity in Numerical PDEs Numerical Linear Algebra Karim Adiprasito Random Matrices Jean-David Benamou Real-Number Complexity Alexei Borodin Special Functions and Orthogonal Polynomials Mireille Bousquet-Mélou Stochastic Computation Symbolic Analysis Mark Braverman Claudio Canuto Martin Hairer Pierre Lairez Monique Laurent Melvin Leok Lek-Heng Lim Gábor Lugosi Bruno Salvy Sylvia Serfaty Steve Smale Andrew Stuart Joel Tropp Sponsors Shmuel Weinberger 2 FoCM 2017 Foundations of Computational Mathematics Barcelona, July 10th{19th, 2017 Books of abstracts 4 FoCM 2017 Contents Presentation . .7 Governance of FoCM . .9 Local Organizing Committee . .9 Administrative and logistic support . .9 Technical support . 10 Volunteers . 10 Workshops Committee . 10 Plenary Speakers Committee . 10 Smale Prize Committee . 11 Funding Committee . 11 Plenary talks . 13 Workshops . 21 A1 { Approximation Theory Organizers: Albert Cohen { Ron Devore { Peter Binev . 21 A2 { Computational Algebraic Geometry Organizers: Marta Casanellas { Agnes Szanto { Thorsten Theobald . 36 A3 { Computational Number Theory Organizers: Christophe Ritzenhaler { Enric Nart { Tanja Lange . 50 A4 { Computational Geometry and Topology Organizers: Joel Hass { Herbert Edelsbrunner { Gunnar Carlsson . 56 A5 { Geometric Integration and Computational Mechanics Organizers: Fernando Casas { Elena Celledoni { David Martin de Diego .
    [Show full text]
  • Random Packing of Colloids and Granular Matter
    Random packing of colloids and granular matter ISBN 0 Subject headings: random packing/hard spheres/spherocylinders/cut spheres/spheroids/granular matter/colloids/computer simulation. Random packing of colloids and granular matter Willekeurige stapeling van colloijdenen granulaire materie (met een samenvatting in het Nederlands) Proefschrift ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van de rector magni¯cus, prof. dr. J. C. Stoof, ingevolge het besluit van het college voor promoties in het openbaar te verdedigen op maandag 18 februari 2008 des ochtends te 10.30 uur door Alan Wouterse geboren op 29 december 1978 te Utrecht Promotor: Prof. dr. A.P. Philipse This work is part of the Granular Matter programme of the `Stichting voor Funda- menteel Onderzoek der Materie (FOM)', ¯nancially supported by the `Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)'. Contents Chapter 1. Introduction 1 Chapter 2. Random particle packings: A review 3 2.1. Introduction 3 2.2. Random packing of particles 4 2.3. Random packing of spheres 11 2.4. Theory 14 2.5. Simulations 18 2.6. Summary and conclusions for sphere packings 24 2.7. Non-spherical particles 25 2.8. Theory 28 2.9. Simulations 31 2.10. Methods for non-spherical particles 31 2.11. Summary and conclusions for non-spherical particle packings 34 Chapter 3. On the caging number of two- and three-dimensional hard spheres 37 3.1. Introduction 38 3.2. Caging by uncorrelated contacts 39 3.3. Caging by three hard disks 41 3.4. Caging and parking numbers for hard disks of di®erent size 44 3.5.
    [Show full text]
  • Concepts, Techniques, Ideas & Proofs
    Concepts, Techniques, Ideas & Proofs 1. 2-SAT 21. Approximate vertex cover 41. Busy beaver problem 2. 2-Way automata 22. Approximations 42. C programs 3. 3-colorability 23. Artificial intelligence 43. Canonical order 4. 3-SAT 24. Asimov’s laws of robotics 44. Cantor dust 5. Abstract complexity 25. Asymptotics 45. Cantor set 6. Acceptance 26. Automatic theorem proving 46. Cantor’s paradox 7. Ada Lovelace 27. Autonomous vehicles 47. CAPCHA 8. Algebraic numbers 28. Axiom of choice 48. Cardinality arguments 9. Algorithms 29. Axiomatic method 49. Cartesian coordinates 10. Algorithms as strings 30. Axiomatic system 50. Cellular automata 11. Alice in Wonderland 31. Babbage’s analytical engine 51. Chaos 12. Alphabets 32. Babbage’s difference engine 52. Chatterbots 13. Alternation 33. Bin packing 53. Chess-playing programs 14. Ambiguity 34. Binary vs. unary 54. Chinese room 15. Ambiguous grammars 35. Bletchley Park 55. Chomsky hierarchy 16. Analog computing 36. Bloom axioms 56. Chomsky normal form 17. Anisohedral tilings 37. Boolean algebra 57. Chomskyan linguistics 18. Aperiodic tilings 38. Boolean functions 58. Christofides’ heuristic 19. Approximate min cut 39. Bridges of Konigsberg 59. Church-Turing thesis 20. Approximate TSP 40. Brute force 60. Clay Mathematics Institute Concepts, Techniques, Ideas & Proofs 61. Clique problem 81. Computer viruses 101. Cross-product construction 62. Cloaking devices 82. Concatenation 102. Cryptography 63. Closure properties 83. Co-NP 103. DARPA Grand Challenge 64. Cogito ergo sum 84. Consciousness and sentience 104. DARPA Math Challenges 65. Colorings 85. Consistency of axioms 105. De Morgan’s law 66. Commutativity 86. Constructions 106. Decidability 67. Complementation 87. Context free grammars 107.
    [Show full text]
  • A Survey on the Kissing Numbers
    Kissing numbers – a survey Peter Boyvalenkov, Stefan Dodunekov Oleg Musin∗ Inst. of Mathematics and Informatics Department of Mathematics Bulgarian Academy of Sciences University of Texas at Brownswille 8 G. Bonchev str., 1113 Sofia, Bulgaria 80 Fort Brown, TX 78520, USA Abstract. The maximum possible number of non-overlapping unit spheres that can touch a unit sphere in n dimensions is called kissing number. The problem for finding kissing numbers is closely connected to the more general problems of finding bounds for spherical codes and sphere packings. We survey old and recent results on the kissing numbers keeping the generality of spherical codes. 1 Introduction How many equal billiard balls can touch (kiss) simultaneously another billiard ball of the same size? This was the subject of a famous dispute between Newton and Gregory in 1694. The more general problem in n dimensions, how many non- overlapping spheres of radius 1 can simultaneously touch the unit sphere Sn−1, is called the kissing number problem. The answer τn is called kissing number, also Newton number (in fact, Newton was right, without proof indeed, with his answer τ3 = 12) or contact number. Further generalization of the problem leads to investigation of spherical codes. A spherical code is a non-empty finite subset of Sn−1. Important parameters of a spherical code C Sn−1 are its cardinality C , the dimension n (it is convenient ⊂ | | to assume that the vectors of C span Rn) and the maximal inner product arXiv:1507.03631v1 [math.MG] 13 Jul 2015 s(C) = max x,y : x,y C,x = y .
    [Show full text]