Packing, Tiling, and Covering with Tetrahedra
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
On the Archimedean Or Semiregular Polyhedra
ON THE ARCHIMEDEAN OR SEMIREGULAR POLYHEDRA Mark B. Villarino Depto. de Matem´atica, Universidad de Costa Rica, 2060 San Jos´e, Costa Rica May 11, 2005 Abstract We prove that there are thirteen Archimedean/semiregular polyhedra by using Euler’s polyhedral formula. Contents 1 Introduction 2 1.1 RegularPolyhedra .............................. 2 1.2 Archimedean/semiregular polyhedra . ..... 2 2 Proof techniques 3 2.1 Euclid’s proof for regular polyhedra . ..... 3 2.2 Euler’s polyhedral formula for regular polyhedra . ......... 4 2.3 ProofsofArchimedes’theorem. .. 4 3 Three lemmas 5 3.1 Lemma1.................................... 5 3.2 Lemma2.................................... 6 3.3 Lemma3.................................... 7 4 Topological Proof of Archimedes’ theorem 8 arXiv:math/0505488v1 [math.GT] 24 May 2005 4.1 Case1: fivefacesmeetatavertex: r=5. .. 8 4.1.1 At least one face is a triangle: p1 =3................ 8 4.1.2 All faces have at least four sides: p1 > 4 .............. 9 4.2 Case2: fourfacesmeetatavertex: r=4 . .. 10 4.2.1 At least one face is a triangle: p1 =3................ 10 4.2.2 All faces have at least four sides: p1 > 4 .............. 11 4.3 Case3: threefacesmeetatavertes: r=3 . ... 11 4.3.1 At least one face is a triangle: p1 =3................ 11 4.3.2 All faces have at least four sides and one exactly four sides: p1 =4 6 p2 6 p3. 12 4.3.3 All faces have at least five sides and one exactly five sides: p1 =5 6 p2 6 p3 13 1 5 Summary of our results 13 6 Final remarks 14 1 Introduction 1.1 Regular Polyhedra A polyhedron may be intuitively conceived as a “solid figure” bounded by plane faces and straight line edges so arranged that every edge joins exactly two (no more, no less) vertices and is a common side of two faces. -
Binary Icosahedral Group and 600-Cell
Article Binary Icosahedral Group and 600-Cell Jihyun Choi and Jae-Hyouk Lee * Department of Mathematics, Ewha Womans University 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-2-3277-3346 Received: 10 July 2018; Accepted: 26 July 2018; Published: 7 August 2018 Abstract: In this article, we have an explicit description of the binary isosahedral group as a 600-cell. We introduce a method to construct binary polyhedral groups as a subset of quaternions H via spin map of SO(3). In addition, we show that the binary icosahedral group in H is the set of vertices of a 600-cell by applying the Coxeter–Dynkin diagram of H4. Keywords: binary polyhedral group; icosahedron; dodecahedron; 600-cell MSC: 52B10, 52B11, 52B15 1. Introduction The classification of finite subgroups in SLn(C) derives attention from various research areas in mathematics. Especially when n = 2, it is related to McKay correspondence and ADE singularity theory [1]. The list of finite subgroups of SL2(C) consists of cyclic groups (Zn), binary dihedral groups corresponded to the symmetry group of regular 2n-gons, and binary polyhedral groups related to regular polyhedra. These are related to the classification of regular polyhedrons known as Platonic solids. There are five platonic solids (tetrahedron, cubic, octahedron, dodecahedron, icosahedron), but, as a regular polyhedron and its dual polyhedron are associated with the same symmetry groups, there are only three binary polyhedral groups(binary tetrahedral group 2T, binary octahedral group 2O, binary icosahedral group 2I) related to regular polyhedrons. -
Arxiv:1603.05202V1 [Math.MG] 16 Mar 2016 Etr .Itrue Peia Amnc 27 Harmonics Spherical Interlude: 3
Contents Packing, coding, and ground states Henry Cohn 1 Packing, coding, and ground states 3 Preface 3 Acknowledgments 3 Lecture 1. Sphere packing 5 1. Introduction 5 2. Motivation 6 3. Phenomena 8 4. Constructions 10 5. Difficulty of sphere packing 12 6. Finding dense packings 13 7. Computational problems 15 Lecture 2. Symmetry and ground states 17 1. Introduction 17 2. Potential energy minimization 18 3. Families and universal optimality 19 4. Optimality of simplices 23 Lecture 3. Interlude: Spherical harmonics 27 1. Fourier series 27 2. Fourier series on a torus 29 3. Spherical harmonics 31 Lecture4. Energyandpackingboundsonspheres 35 arXiv:1603.05202v1 [math.MG] 16 Mar 2016 1. Introduction 35 2. Linear programming bounds 37 3. Applying linear programming bounds 39 4. Spherical codes and the kissing problem 40 5. Ultraspherical polynomials 41 Lecture 5. Packing bounds in Euclidean space 47 1. Introduction 47 2. Poisson summation 49 3. Linear programming bounds 50 4. Optimization and conjectures 52 Bibliography 57 i Packing, coding, and ground states Henry Cohn Packing, coding, and ground states Henry Cohn Preface In these lectures, we’ll study simple models of materials from several different perspectives: geometry (packing problems), information theory (error-correcting codes), and physics (ground states of interacting particle systems). These per- spectives each shed light on some of the same problems and phenomena, while highlighting different techniques and connections. One noteworthy phenomenon is the exceptional symmetry that is found in certain special cases, and we’ll examine when and why it occurs. The overall theme of the lectures is thus order vs. -
Can Every Face of a Polyhedron Have Many Sides ?
Can Every Face of a Polyhedron Have Many Sides ? Branko Grünbaum Dedicated to Joe Malkevitch, an old friend and colleague, who was always partial to polyhedra Abstract. The simple question of the title has many different answers, depending on the kinds of faces we are willing to consider, on the types of polyhedra we admit, and on the symmetries we require. Known results and open problems about this topic are presented. The main classes of objects considered here are the following, listed in increasing generality: Faces: convex n-gons, starshaped n-gons, simple n-gons –– for n ≥ 3. Polyhedra (in Euclidean 3-dimensional space): convex polyhedra, starshaped polyhedra, acoptic polyhedra, polyhedra with selfintersections. Symmetry properties of polyhedra P: Isohedron –– all faces of P in one orbit under the group of symmetries of P; monohedron –– all faces of P are mutually congru- ent; ekahedron –– all faces have of P the same number of sides (eka –– Sanskrit for "one"). If the number of sides is k, we shall use (k)-isohedron, (k)-monohedron, and (k)- ekahedron, as appropriate. We shall first describe the results that either can be found in the literature, or ob- tained by slight modifications of these. Then we shall show how two systematic ap- proaches can be used to obtain results that are better –– although in some cases less visu- ally attractive than the old ones. There are many possible combinations of these classes of faces, polyhedra and symmetries, but considerable reductions in their number are possible; we start with one of these, which is well known even if it is hard to give specific references for precisely the assertion of Theorem 1. -
The Sphere Packing Problem in Dimension 8 Arxiv:1603.04246V2
The sphere packing problem in dimension 8 Maryna S. Viazovska April 5, 2017 8 In this paper we prove that no packing of unit balls in Euclidean space R has density greater than that of the E8-lattice packing. Keywords: Sphere packing, Modular forms, Fourier analysis AMS subject classification: 52C17, 11F03, 11F30 1 Introduction The sphere packing constant measures which portion of d-dimensional Euclidean space d can be covered by non-overlapping unit balls. More precisely, let R be the Euclidean d vector space equipped with distance k · k and Lebesgue measure Vol(·). For x 2 R and d r 2 R>0 we denote by Bd(x; r) the open ball in R with center x and radius r. Let d X ⊂ R be a discrete set of points such that kx − yk ≥ 2 for any distinct x; y 2 X. Then the union [ P = Bd(x; 1) x2X d is a sphere packing. If X is a lattice in R then we say that P is a lattice sphere packing. The finite density of a packing P is defined as Vol(P\ Bd(0; r)) ∆P (r) := ; r > 0: Vol(Bd(0; r)) We define the density of a packing P as the limit superior ∆P := lim sup ∆P (r): r!1 arXiv:1603.04246v2 [math.NT] 4 Apr 2017 The number be want to know is the supremum over all possible packing densities ∆d := sup ∆P ; d P⊂R sphere packing 1 called the sphere packing constant. For which dimensions do we know the exact value of ∆d? Trivially, in dimension 1 we have ∆1 = 1. -
Fundamental Principles Governing the Patterning of Polyhedra
FUNDAMENTAL PRINCIPLES GOVERNING THE PATTERNING OF POLYHEDRA B.G. Thomas and M.A. Hann School of Design, University of Leeds, Leeds LS2 9JT, UK. [email protected] ABSTRACT: This paper is concerned with the regular patterning (or tiling) of the five regular polyhedra (known as the Platonic solids). The symmetries of the seventeen classes of regularly repeating patterns are considered, and those pattern classes that are capable of tiling each solid are identified. Based largely on considering the symmetry characteristics of both the pattern and the solid, a first step is made towards generating a series of rules governing the regular tiling of three-dimensional objects. Key words: symmetry, tilings, polyhedra 1. INTRODUCTION A polyhedron has been defined by Coxeter as “a finite, connected set of plane polygons, such that every side of each polygon belongs also to just one other polygon, with the provision that the polygons surrounding each vertex form a single circuit” (Coxeter, 1948, p.4). The polygons that join to form polyhedra are called faces, 1 these faces meet at edges, and edges come together at vertices. The polyhedron forms a single closed surface, dissecting space into two regions, the interior, which is finite, and the exterior that is infinite (Coxeter, 1948, p.5). The regularity of polyhedra involves regular faces, equally surrounded vertices and equal solid angles (Coxeter, 1948, p.16). Under these conditions, there are nine regular polyhedra, five being the convex Platonic solids and four being the concave Kepler-Poinsot solids. The term regular polyhedron is often used to refer only to the Platonic solids (Cromwell, 1997, p.53). -
Putting the Icosahedron Into the Octahedron
Forum Geometricorum Volume 17 (2017) 63–71. FORUM GEOM ISSN 1534-1178 Putting the Icosahedron into the Octahedron Paris Pamfilos Abstract. We compute the dimensions of a regular tetragonal pyramid, which allows a cut by a plane along a regular pentagon. In addition, we relate this construction to a simple construction of the icosahedron and make a conjecture on the impossibility to generalize such sections of regular pyramids. 1. Pentagonal sections The present discussion could be entitled Organizing calculations with Menelaos, and originates from a problem from the book of Sharygin [2, p. 147], in which it is required to construct a pentagonal section of a regular pyramid with quadrangular F J I D T L C K H E M a x A G B U V Figure 1. Pentagonal section of quadrangular pyramid basis. The basis of the pyramid is a square of side-length a and the pyramid is assumed to be regular, i.e. its apex F is located on the orthogonal at the center E of the square at a distance h = |EF| from it (See Figure 1). The exercise asks for the determination of the height h if we know that there is a section GHIJK of the pyramid by a plane which is a regular pentagon. The section is tacitly assumed to be symmetric with respect to the diagonal symmetry plane AF C of the pyramid and defined by a plane through the three points K, G, I. The first two, K and G, lying symmetric with respect to the diagonal AC of the square. -
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. -
Section 1000.00 Omnitopology
Table of Contents ● 1000.00 OMNITOPOLOGY ● 1001.00 Inherent Rationality of Omnidirectional Epistemology ■ 1001.10 Spherical Reference ❍ 1001.20 Field of Geodesic Event Relationships ❍ 1002.10 Omnidirectional Nucleus ❍ 1003.10 Isotropic-Vector-Matrix Reference ❍ 1004.10 An Omnisynergetic Coordinate System ❍ 1005.10 Inventory of Omnidirectional Intersystem Precessional Effects ❍ 1005.15 Volume and Area Progressions ■ 1005.20 Biospherical Patterns ■ 1005.30 Poisson Effect ■ 1005.40 Genetic Intercomplexity ■ 1005.50 Truth and Love: Linear and Embracing ■ 1005.60 Generalization and Polarization ■ 1005.611 Metabolic Generalizations ❍ 1006.10 Omnitopology Defined ■ 1006.20 Omnitopological Domains ■ 1006.30 Vector Equilibrium Involvement Domain ■ 1006.40 Cosmic System Eight-dimensionality ❍ 1007.10 Omnitopology Compared with Euler's Topology ❍ 1007.20 Invalidity of Plane Geometry ❍ 1008.10 Geodesic Spheres in Closest Packing ❍ 1009.00 Critical Proximity ■ 1009.10 Interference: You Really Can t Get There from Here ■ 1009.20 Magnitude of Independent Orbiting ■ 1009.30 Symmetrical Conformation of Flying-Star Teams ■ 1009.40 Models and Divinity ■ 1009.50 Acceleration ■ 1009.60 Hammer-Thrower ■ 1009.69 Comet ■ 1009.70 Orbital Escape from Earth s Critical-Proximity Programmability ■ 1009.80 Pea-Shooter Sling-Thrower. and Gyroscope: Gravity and Mass- Attraction ● 1010.00 Prime Volumes ■ 1010.10 Domain and Quantum ■ 1010.20 Nonnuclear Prime Structural Systems ❍ 1011.00 Omnitopology of Prime Volumes ■ 1011.10 Prime Enclosure ■ 1011.20 Hierarchy of Nuclear -
Are Your Polyhedra the Same As My Polyhedra?
Are Your Polyhedra the Same as My Polyhedra? Branko Gr¨unbaum 1 Introduction “Polyhedron” means different things to different people. There is very little in common between the meaning of the word in topology and in geometry. But even if we confine attention to geometry of the 3-dimensional Euclidean space – as we shall do from now on – “polyhedron” can mean either a solid (as in “Platonic solids”, convex polyhedron, and other contexts), or a surface (such as the polyhedral models constructed from cardboard using “nets”, which were introduced by Albrecht D¨urer [17] in 1525, or, in a more mod- ern version, by Aleksandrov [1]), or the 1-dimensional complex consisting of points (“vertices”) and line-segments (“edges”) organized in a suitable way into polygons (“faces”) subject to certain restrictions (“skeletal polyhedra”, diagrams of which have been presented first by Luca Pacioli [44] in 1498 and attributed to Leonardo da Vinci). The last alternative is the least usual one – but it is close to what seems to be the most useful approach to the theory of general polyhedra. Indeed, it does not restrict faces to be planar, and it makes possible to retrieve the other characterizations in circumstances in which they reasonably apply: If the faces of a “surface” polyhedron are sim- ple polygons, in most cases the polyhedron is unambiguously determined by the boundary circuits of the faces. And if the polyhedron itself is without selfintersections, then the “solid” can be found from the faces. These reasons, as well as some others, seem to warrant the choice of our approach. -
Global Optimization Approach to Unequal Sphere Packing Problems in 3D1
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS: Vol. 114, No. 3, pp. 671–694, September 2002 (2002) Global Optimization Approach to Unequal Sphere Packing Problems in 3D1 2 3 A. SUTOU AND Y. DAI Communicated by P. M. Pardalos Abstract. The problem of the unequal sphere packing in a 3-dimen- sional polytope is analyzed. Given a set of unequal spheres and a poly- tope, the double goal is to assemble the spheres in such a way that (i) they do not overlap with each other and (ii) the sum of the volumes of the spheres packed in the polytope is maximized. This optimization has an application in automated radiosurgical treatment planning and can be formulated as a nonconvex optimization problem with quadratic constraints and a linear objective function. On the basis of the special structures associated with this problem, we propose a variety of algorithms which improve markedly the existing simplicial branch-and- bound algorithm for the general nonconvex quadratic program. Further, heuristic algorithms are incorporated to strengthen the efficiency of the algorithm. The computational study demonstrates that the proposed algorithm can obtain successfully the optimization up to a limiting size. Key Words. Nonconvex quadratic programming, unequal sphere packing problem, simplicial branch-and-bound algorithm, LP relax- ation, heuristic algorithms. 1. Introduction The optimization of the packing of unequal spheres in a 3-dimensional polytope is analyzed. Given a set of unequal spheres and a polytope, the 1The authors thank two anonymous referees for their valuable comments. The work of the second author was partially supported by Grant-in-Aid C-13650444 from the Ministry of Education, Science, Sports, and Culture of Japan. -
Icosahedron Is the Most Complicated of the Five Regular Platonic Solids
PROPERTIES AND CONSTRUCTION OF ICOSAHEDRA The icosahedron is the most complicated of the five regular platonic solids. It consists of twenty equilateral triangle faces (F=20), a total of twelve vertices (V=12), and thirty edges (E=30). That is, it satisfies the Euler Formula that F+V-E=2. To construct this 3D figure one needs to first locate the coordinates of its vertices and thern can tile the structure with simple equilateral triangles. We will do this in the present article using a somewhat different than usual approach via cylindrical coordinates. As a starting point we look at the following schematic of an icosahedron- We draw a polar axis through the figure passing through the top and bottom vertex point. Also we notice that the top and bottom of the figure consists of a pentagonal pyramid of height c. the height of the girth of the figure is taken as d so that the circumscribing sphere has diameter D=2R=2c+d. All twelve vertices of the icosahedron lie on this sphere. Looking at the pentagon base of the upper cap, we take the length of each side of the pentagon to be one. This means that the distance from each of the pentagon vertex points to the polar axis is – 1 2 b 0.8506508... 2sin( / 5) 5 5 5 Here =[1+sqrt(5)]/2=1.61803398.. is the well known Golden Ratio The distance from the middle of one of the pentagon edges to the polar axis is- 1 1 1 3 4 a 0.68819096..