Faceting the Dodecahedron
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Avenues for Polyhedral Research
Avenues for Polyhedral Research by Magnus J. Wenninger In the epilogue of my book Polyhedron Models I alluded Topologie Structurale #5, 1980 Structural Topology #5,1980 to an avenue for polyhedral research along which I myself have continued to journey, involving Ar- chimedean stellations and duals (Wenninger 1971). By way of introduction to what follows here it may be noted that the five regular convex polyhedra belong to a larger set known as uniform’ polyhedra. Their stellated forms are derived from the process of extending their R&urn6 facial planes while preserving symmetry. In particular the tetrahedron and the hexahedron have no stellated forms. The octahedron has one, the dodecahedron Cet article est le sommaire d’une etude et de three and the icosahedron a total of fifty eight (Coxeter recherches faites par I’auteur depuis une dizaine 1951). The octahedral stellation is a compound of two d’annees, impliquant les polyedres archimediens Abstract tetrahedra, classified as a uniform compound. The &oil& et les duals. La presentation en est faite a three dodecahedral stellations are non-convex regular partir d’un passe historique, et les travaux This article is a summary of investigations and solids and belong to the set of uniform polyhedra. Only d’auteurs recents sont brievement rappel& pour study done by the author over the past ten years, one icosahedral stellation is a non-convex regular la place importante qu’ils occupent dans I’etude involving Archimedean stellations and duals. The polyhedron and hence also a uniform polyhedron, but des formes polyedriques. L’auteur enonce une presentation is set into its historical background, several other icosahedral stellations are uniform com- regle &n&ale par laquelle on peut t,rouver un and the works of recent authors are briefly sket- pounds, namely the compound of five octahedra, five dual a partir de n’importe quel polyedre uniforme ched for their place in the continuing study of tetrahedra and ten tetrahedra. -
Framing Cyclic Revolutionary Emergence of Opposing Symbols of Identity Eppur Si Muove: Biomimetic Embedding of N-Tuple Helices in Spherical Polyhedra - /
Alternative view of segmented documents via Kairos 23 October 2017 | Draft Framing Cyclic Revolutionary Emergence of Opposing Symbols of Identity Eppur si muove: Biomimetic embedding of N-tuple helices in spherical polyhedra - / - Introduction Symbolic stars vs Strategic pillars; Polyhedra vs Helices; Logic vs Comprehension? Dynamic bonding patterns in n-tuple helices engendering n-fold rotating symbols Embedding the triple helix in a spherical octahedron Embedding the quadruple helix in a spherical cube Embedding the quintuple helix in a spherical dodecahedron and a Pentagramma Mirificum Embedding six-fold, eight-fold and ten-fold helices in appropriately encircled polyhedra Embedding twelve-fold, eleven-fold, nine-fold and seven-fold helices in appropriately encircled polyhedra Neglected recognition of logical patterns -- especially of opposition Dynamic relationship between polyhedra engendered by circles -- variously implying forms of unity Symbol rotation as dynamic essential to engaging with value-inversion References Introduction The contrast to the geocentric model of the solar system was framed by the Italian mathematician, physicist and philosopher Galileo Galilei (1564-1642). His much-cited phrase, " And yet it moves" (E pur si muove or Eppur si muove) was allegedly pronounced in 1633 when he was forced to recant his claims that the Earth moves around the immovable Sun rather than the converse -- known as the Galileo affair. Such a shift in perspective might usefully inspire the recognition that the stasis attributed so widely to logos and other much-valued cultural and heraldic symbols obscures the manner in which they imply a fundamental cognitive dynamic. Cultural symbols fundamental to the identity of a group might then be understood as variously moving and transforming in ways which currently elude comprehension. -
1 Lifts of Polytopes
Lecture 5: Lifts of polytopes and non-negative rank CSE 599S: Entropy optimality, Winter 2016 Instructor: James R. Lee Last updated: January 24, 2016 1 Lifts of polytopes 1.1 Polytopes and inequalities Recall that the convex hull of a subset X n is defined by ⊆ conv X λx + 1 λ x0 : x; x0 X; λ 0; 1 : ( ) f ( − ) 2 2 [ ]g A d-dimensional convex polytope P d is the convex hull of a finite set of points in d: ⊆ P conv x1;:::; xk (f g) d for some x1;:::; xk . 2 Every polytope has a dual representation: It is a closed and bounded set defined by a family of linear inequalities P x d : Ax 6 b f 2 g for some matrix A m d. 2 × Let us define a measure of complexity for P: Define γ P to be the smallest number m such that for some C s d ; y s ; A m d ; b m, we have ( ) 2 × 2 2 × 2 P x d : Cx y and Ax 6 b : f 2 g In other words, this is the minimum number of inequalities needed to describe P. If P is full- dimensional, then this is precisely the number of facets of P (a facet is a maximal proper face of P). Thinking of γ P as a measure of complexity makes sense from the point of view of optimization: Interior point( methods) can efficiently optimize linear functions over P (to arbitrary accuracy) in time that is polynomial in γ P . ( ) 1.2 Lifts of polytopes Many simple polytopes require a large number of inequalities to describe. -
Understanding the Formation of Pbse Honeycomb Superstructures by Dynamics Simulations
PHYSICAL REVIEW X 9, 021015 (2019) Understanding the Formation of PbSe Honeycomb Superstructures by Dynamics Simulations Giuseppe Soligno* and Daniel Vanmaekelbergh Condensed Matter and Interfaces, Debye Institute for Nanomaterials Science, Utrecht University, Princetonplein 1, Utrecht 3584 CC, Netherlands (Received 28 October 2018; revised manuscript received 28 January 2019; published 23 April 2019) Using a coarse-grained molecular dynamics model, we simulate the self-assembly of PbSe nanocrystals (NCs) adsorbed at a flat fluid-fluid interface. The model includes all key forces involved: NC-NC short- range facet-specific attractive and repulsive interactions, entropic effects, and forces due to the NC adsorption at fluid-fluid interfaces. Realistic values are used for the input parameters regulating the various forces. The interface-adsorption parameters are estimated using a recently introduced sharp- interface numerical method which includes capillary deformation effects. We find that the final structure in which the NCs self-assemble is drastically affected by the input values of the parameters of our coarse- grained model. In particular, by slightly tuning just a few parameters of the model, we can induce NC self- assembly into either silicene-honeycomb superstructures, where all NCs have a f111g facet parallel to the fluid-fluid interface plane, or square superstructures, where all NCs have a f100g facet parallel to the interface plane. Both of these nanostructures have been observed experimentally. However, it is still not clear their formation mechanism, and, in particular, which are the factors directing the NC self-assembly into one or another structure. In this work, we identify and quantify such factors, showing illustrative assembled-phase diagrams obtained from our simulations. -
Temperature-Tuned Faceting and Shape-Changes in Liquid Alkane Droplets
Published in Langmuir 33, 1305 (2017) Temperature-tuned faceting and shape-changes in liquid alkane droplets Shani Guttman,† Zvi Sapir,†,¶ Benjamin M. Ocko,‡ Moshe Deutsch,† and Eli Sloutskin∗,† Physics Dept. and Institute of Nanotechnology, Bar-Ilan University, Ramat-Gan 5290002, Israel, and NSLS-II, Brookhaven National Laboratory, Upton NY 11973, USA E-mail: [email protected] Abstract Recent extensive studies reveal that surfactant-stabilized spherical alkane emulsion droplets spontaneously adopt polyhedral shapes upon cooling below a temperature Td, while still remaining liquid. Further cooling induces growth of tails and spontaneous droplet splitting. Two mechanisms were offered to account for these intriguing effects. One assigns the effects to the formation of an intra-droplet frame of tubules, consist- ing of crystalline rotator phases with cylindrically curved lattice planes. The second assigns the sphere-to-polyhedron transition to the buckling of defects in a crystalline interfacial monolayer, known to form in these systems at some Ts > Td. The buck- ling reduces the extensional energy of the crystalline monolayer’s defects, unavoidably formed when wrapping a spherical droplet by a hexagonally-packed interfacial mono- layer. The tail growth, shape changes, and droplet splitting were assigned to the ∗To whom correspondence should be addressed †Physics Dept. and Institute of Nanotechnology, Bar-Ilan University, Ramat-Gan 5290002, Israel ‡NSLS-II, Brookhaven National Laboratory, Upton NY 11973, USA ¶Present address: Intel (Israel) Ltd., Kiryat Gat, Israel 1 vanishing of the surface tension, γ. Here we present temperature-dependent γ(T ), optical microscopy measurements, and interfacial entropy determinations, for several alkane/surfactant combinations. We demonstrate the advantages and accuracy of the in-situ γ(T ) measurements, done simultaneously with the microscopy measurements on the same droplet. -
The Minkowski Problem for Simplices
The Minkowski Problem for Simplices Daniel A. Klain Department of Mathematical Sciences University of Massachusetts Lowell Lowell, MA 01854 USA Daniel [email protected] Abstract The Minkowski existence Theorem for polytopes follows from Cramer’s Rule when attention is limited to the special case of simplices. It is easy to see that a convex polygon in R2 is uniquely determined (up to translation) by the directions and lengths of its edges. This suggests the following (less easily answered) question in higher dimensions: given a collection of proposed facet normals and facet areas, is there a convex polytope in Rn whose facets fit the given data, and, if so, is the resulting polytope unique? This question (along with its answer) is known as the Minkowski problem. For a polytope P in Rn denote by V (P ) the volume of P . If Q is a polytope in Rn having dimension strictly less than n, then denote v(Q) the (n ¡ 1)-dimensional volume of Q. For any u non-zero vector u, let P denote the face of P having u as an outward normal, and let Pu denote the orthogonal projection of P onto the hyperplane u?. The Minkowski problem for polytopes concerns the following specific question: Given a collection u1; : : : ; uk of unit vectors and ®1; : : : ; ®k > 0, under what condition does there exist a polytope P ui having the ui as its facet normals and the ®i as its facet areas; that is, such that v(P ) = ®i for each i? A necessary condition on the facet normals and facet areas is given by the following proposition [BF48, Sch93]. -
15 BASIC PROPERTIES of CONVEX POLYTOPES Martin Henk, J¨Urgenrichter-Gebert, and G¨Unterm
15 BASIC PROPERTIES OF CONVEX POLYTOPES Martin Henk, J¨urgenRichter-Gebert, and G¨unterM. Ziegler INTRODUCTION Convex polytopes are fundamental geometric objects that have been investigated since antiquity. The beauty of their theory is nowadays complemented by their im- portance for many other mathematical subjects, ranging from integration theory, algebraic topology, and algebraic geometry to linear and combinatorial optimiza- tion. In this chapter we try to give a short introduction, provide a sketch of \what polytopes look like" and \how they behave," with many explicit examples, and briefly state some main results (where further details are given in subsequent chap- ters of this Handbook). We concentrate on two main topics: • Combinatorial properties: faces (vertices, edges, . , facets) of polytopes and their relations, with special treatments of the classes of low-dimensional poly- topes and of polytopes \with few vertices;" • Geometric properties: volume and surface area, mixed volumes, and quer- massintegrals, including explicit formulas for the cases of the regular simplices, cubes, and cross-polytopes. We refer to Gr¨unbaum [Gr¨u67]for a comprehensive view of polytope theory, and to Ziegler [Zie95] respectively to Gruber [Gru07] and Schneider [Sch14] for detailed treatments of the combinatorial and of the convex geometric aspects of polytope theory. 15.1 COMBINATORIAL STRUCTURE GLOSSARY d V-polytope: The convex hull of a finite set X = fx1; : : : ; xng of points in R , n n X i X P = conv(X) := λix λ1; : : : ; λn ≥ 0; λi = 1 : i=1 i=1 H-polytope: The solution set of a finite system of linear inequalities, d T P = P (A; b) := x 2 R j ai x ≤ bi for 1 ≤ i ≤ m ; with the extra condition that the set of solutions is bounded, that is, such that m×d there is a constant N such that jjxjj ≤ N holds for all x 2 P . -
DETECTION of FACES in WIRE-FRAME POLYHEDRA Interactive Modelling of Uniform Polyhedra
DETECTION OF FACES IN WIRE-FRAME POLYHEDRA Interactive Modelling of Uniform Polyhedra Hidetoshi Nonaka Hokkaido University, N14W9, Sapporo, 060 0814, Japan Keywords: Uniform polyhedron, polyhedral graph, simulated elasticity, interactive computing, recreational mathematics. Abstract: This paper presents an interactive modelling system of uniform polyhedra including regular polyhedra, semi-regular polyhedra, and intersected concave polyhedra. In our system, user can virtually “make” and “handle” them interactively. The coordinate of vertices are computed without the knowledge of faces, solids, or metric information, but only with the isomorphic graph structure. After forming a wire-frame polyhedron, the faces are detected semi-automatically through user-computer interaction. This system can be applied to recreational mathematics, computer assisted education of the graph theory, and so on. 1 INTRODUCTION 2 UNIFORM POLYHEDRA This paper presents an interactive modelling system 2.1 Platonic Solids of uniform polyhedra using simulated elasticity. Uniform polyhedra include five regular polyhedra Five Platonic solids are listed in Table 1. The (Platonic solids), thirteen semi-regular polyhedra symbol Pmn indicates that the number of faces (Archimedean solids), and four regular concave gathering around a vertex is n, and each face is m- polyhedra (Kepler-Poinsot solids). Alan Holden is describing in his writing, “The best way to learn sided regular polygon. about these objects is to make them, next best to handle them (Holden, 1971).” Traditionally, these Table 1: The list of Platonic solids. objects are made based on the shapes of faces or Symbol Polyhedron Vertices Edges Faces solids. Development figures and a set of regular polygons cut from card boards can be used to P33 Tetrahedron 4 6 4 assemble them. -
Frequently Asked Questions in Polyhedral Computation
Frequently Asked Questions in Polyhedral Computation http://www.ifor.math.ethz.ch/~fukuda/polyfaq/polyfaq.html Komei Fukuda Swiss Federal Institute of Technology Lausanne and Zurich, Switzerland [email protected] Version June 18, 2004 Contents 1 What is Polyhedral Computation FAQ? 2 2 Convex Polyhedron 3 2.1 What is convex polytope/polyhedron? . 3 2.2 What are the faces of a convex polytope/polyhedron? . 3 2.3 What is the face lattice of a convex polytope . 4 2.4 What is a dual of a convex polytope? . 4 2.5 What is simplex? . 4 2.6 What is cube/hypercube/cross polytope? . 5 2.7 What is simple/simplicial polytope? . 5 2.8 What is 0-1 polytope? . 5 2.9 What is the best upper bound of the numbers of k-dimensional faces of a d- polytope with n vertices? . 5 2.10 What is convex hull? What is the convex hull problem? . 6 2.11 What is the Minkowski-Weyl theorem for convex polyhedra? . 6 2.12 What is the vertex enumeration problem, and what is the facet enumeration problem? . 7 1 2.13 How can one enumerate all faces of a convex polyhedron? . 7 2.14 What computer models are appropriate for the polyhedral computation? . 8 2.15 How do we measure the complexity of a convex hull algorithm? . 8 2.16 How many facets does the average polytope with n vertices in Rd have? . 9 2.17 How many facets can a 0-1 polytope with n vertices in Rd have? . 10 2.18 How hard is it to verify that an H-polyhedron PH and a V-polyhedron PV are equal? . -
A Note on Solid Coloring of Pure Simplicial Complexes Joseph O'rourke Smith College, [email protected]
Masthead Logo Smith ScholarWorks Computer Science: Faculty Publications Computer Science 12-17-2010 A Note on Solid Coloring of Pure Simplicial Complexes Joseph O'Rourke Smith College, [email protected] Follow this and additional works at: https://scholarworks.smith.edu/csc_facpubs Part of the Computer Sciences Commons, and the Discrete Mathematics and Combinatorics Commons Recommended Citation O'Rourke, Joseph, "A Note on Solid Coloring of Pure Simplicial Complexes" (2010). Computer Science: Faculty Publications, Smith College, Northampton, MA. https://scholarworks.smith.edu/csc_facpubs/37 This Article has been accepted for inclusion in Computer Science: Faculty Publications by an authorized administrator of Smith ScholarWorks. For more information, please contact [email protected] A Note on Solid Coloring of Pure Simplicial Complexes Joseph O'Rourke∗ December 21, 2010 Abstract We establish a simple generalization of a known result in the plane. d The simplices in any pure simplicial complex in R may be colored with d+1 colors so that no two simplices that share a (d−1)-facet have the same 2 color. In R this says that any planar map all of whose faces are triangles 3 may be 3-colored, and in R it says that tetrahedra in a collection may be \solid 4-colored" so that no two glued face-to-face receive the same color. 1 Introduction The famous 4-color theorem says that the regions of any planar map may be colored with four colors such that no two regions that share a positive-length border receive the same color. A lesser-known special case is that if all the regions are triangles, three colors suffice. -
Linear Programming and Polyhedral Combinatorics Summary of What Was Seen in the Introductory Lectures on Linear Programming and Polyhedral Combinatorics
Massachusetts Institute of Technology Handout 8 18.433: Combinatorial Optimization March 6th, 2007 Michel X. Goemans Linear Programming and Polyhedral Combinatorics Summary of what was seen in the introductory lectures on linear programming and polyhedral combinatorics. Definition 1 A halfspace in Rn is a set of the form fx 2 Rn : aT x ≤ bg for some vector a 2 Rn and b 2 R. Definition 2 A polyhedron is the intersection of finitely many halfspaces: P = fx 2 Rn : Ax ≤ bg. Definition 3 A polytope is a bounded polyhedron. n Definition 4 If P is a polyhedron in R , the projection Pk of P is defined as fy = (x1; x2; · · · ; xk−1; xk+1; · · · ; xn) : x 2 P for some xkg. We claim that Pk is also a polyhedron and this can be proved by giving an explicit description of Pk in terms of linear inequalities. For this purpose, one uses Fourier-Motzkin elimination. Let P = fx : Ax ≤ bg and let • S+ = fi : aik > 0g, • S− = fi : aik < 0g, • S0 = fi : aik = 0g. T Clearly, any element in Pk must satisfy the inequality ai x ≤ bi for all i 2 S0 (these inequal- ities do not involve xk). Similarly, we can take a linear combination of an inequality in S+ and one in S− to eliminate the coefficient of xk. This shows that the inequalities: aik aljxj − alk akjxj ≤ aikbl − alkbi (1) j ! j ! X X for i 2 S+ and l 2 S− are satisfied by all elements of Pk. Conversely, for any vector (x1; x2; · · · ; xk−1; xk+1; · · · ; xn) satisfying (1) for all i 2 S+ and l 2 S− and also T ai x ≤ bi for all i 2 S0 (2) we can find a value of xk such that the resulting x belongs to P (by looking at the bounds on xk that each constraint imposes, and showing that the largest lower bound is smaller than the smallest upper bound). -
Model Reduction in Geometric Tolerancing by Polytopes Vincent Delos, Santiago Arroyave-Tobón, Denis Teissandier
Model reduction in geometric tolerancing by polytopes Vincent Delos, Santiago Arroyave-Tobón, Denis Teissandier To cite this version: Vincent Delos, Santiago Arroyave-Tobón, Denis Teissandier. Model reduction in geometric tolerancing by polytopes. Computer-Aided Design, Elsevier, 2018. hal-01741395 HAL Id: hal-01741395 https://hal.archives-ouvertes.fr/hal-01741395 Submitted on 23 Mar 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Model reduction in geometric tolerancing by polytopes Vincent Delos, Santiago Arroyave-Tobon,´ Denis Teissandier Univ. Bordeaux, I2M, UMR 5295, F-33400 Talence, France Abstract There are several models used in mechanical design to study the behavior of mechanical systems involving geometric variations. By simulating defects with sets of constraints it is possible to study simultaneously all the configurations of mechanisms, whether over-constrained or not. Using this method, the accumulation of defects is calculated by summing sets of constraints derived from features (toleranced surfaces and joints) in the tolerance chain. These sets are usually unbounded objects (R6-polyhedra, 3 parameters for the small rotation, 3 for the small translation), due to the unbounded displacements associated with the degrees of freedom of features.