Puzzling the 120–Cell
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Geometry of Generalized Permutohedra
Geometry of Generalized Permutohedra by Jeffrey Samuel Doker A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Mathematics in the Graduate Division of the University of California, Berkeley Committee in charge: Federico Ardila, Co-chair Lior Pachter, Co-chair Matthias Beck Bernd Sturmfels Lauren Williams Satish Rao Fall 2011 Geometry of Generalized Permutohedra Copyright 2011 by Jeffrey Samuel Doker 1 Abstract Geometry of Generalized Permutohedra by Jeffrey Samuel Doker Doctor of Philosophy in Mathematics University of California, Berkeley Federico Ardila and Lior Pachter, Co-chairs We study generalized permutohedra and some of the geometric properties they exhibit. We decompose matroid polytopes (and several related polytopes) into signed Minkowski sums of simplices and compute their volumes. We define the associahedron and multiplihe- dron in terms of trees and show them to be generalized permutohedra. We also generalize the multiplihedron to a broader class of generalized permutohedra, and describe their face lattices, vertices, and volumes. A family of interesting polynomials that we call composition polynomials arises from the study of multiplihedra, and we analyze several of their surprising properties. Finally, we look at generalized permutohedra of different root systems and study the Minkowski sums of faces of the crosspolytope. i To Joe and Sue ii Contents List of Figures iii 1 Introduction 1 2 Matroid polytopes and their volumes 3 2.1 Introduction . .3 2.2 Matroid polytopes are generalized permutohedra . .4 2.3 The volume of a matroid polytope . .8 2.4 Independent set polytopes . 11 2.5 Truncation flag matroids . 14 3 Geometry and generalizations of multiplihedra 18 3.1 Introduction . -
Two Poset Polytopes
Discrete Comput Geom 1:9-23 (1986) G eometrv)i.~.reh, ~ ( :*mllmlati~ml © l~fi $1~ter-Vtrlq New Yorklu¢. t¢ Two Poset Polytopes Richard P. Stanley* Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139 Abstract. Two convex polytopes, called the order polytope d)(P) and chain polytope <~(P), are associated with a finite poset P. There is a close interplay between the combinatorial structure of P and the geometric structure of E~(P). For instance, the order polynomial fl(P, m) of P and Ehrhart poly- nomial i(~9(P),m) of O(P) are related by f~(P,m+l)=i(d)(P),m). A "transfer map" then allows us to transfer properties of O(P) to W(P). In particular, we transfer known inequalities involving linear extensions of P to some new inequalities. I. The Order Polytope Our aim is to investigate two convex polytopes associated with a finite partially ordered set (poset) P. The first of these, which we call the "order polytope" and denote by O(P), has been the subject of considerable scrutiny, both explicit and implicit, Much of what we say about the order polytope will be essentially a review of well-known results, albeit ones scattered throughout the literature, sometimes in a rather obscure form. The second polytope, called the "chain polytope" and denoted if(P), seems never to have been previously considered per se. It is a special case of the vertex-packing polytope of a graph (see Section 2) but has many special properties not in general valid or meaningful for graphs. -
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. -
Uniform Polychora
BRIDGES Mathematical Connections in Art, Music, and Science Uniform Polychora Jonathan Bowers 11448 Lori Ln Tyler, TX 75709 E-mail: [email protected] Abstract Like polyhedra, polychora are beautiful aesthetic structures - with one difference - polychora are four dimensional. Although they are beyond human comprehension to visualize, one can look at various projections or cross sections which are three dimensional and usually very intricate, these make outstanding pieces of art both in model form or in computer graphics. Polygons and polyhedra have been known since ancient times, but little study has gone into the next dimension - until recently. Definitions A polychoron is basically a four dimensional "polyhedron" in the same since that a polyhedron is a three dimensional "polygon". To be more precise - a polychoron is a 4-dimensional "solid" bounded by cells with the following criteria: 1) each cell is adjacent to only one other cell for each face, 2) no subset of cells fits criteria 1, 3) no two adjacent cells are corealmic. If criteria 1 fails, then the figure is degenerate. The word "polychoron" was invented by George Olshevsky with the following construction: poly = many and choron = rooms or cells. A polytope (polyhedron, polychoron, etc.) is uniform if it is vertex transitive and it's facets are uniform (a uniform polygon is a regular polygon). Degenerate figures can also be uniform under the same conditions. A vertex figure is the figure representing the shape and "solid" angle of the vertices, ex: the vertex figure of a cube is a triangle with edge length of the square root of 2. -
Maps That Take Lines to Circles, in Dimension 4
Maps That Take Lines to Circles, in Dimension 4 V. Timorin Abstract. We list all analytic diffeomorphisms between an open subset of the 4-dimen- sional projective space and an open subset of the 4-dimensional sphere that take all line segments to arcs of round circles. These are the following: restrictions of the quaternionic Hopf fibrations and projections from a hyperplane to a sphere from some point. We prove this by finding the exact solutions of the corresponding system of partial differential equations. 1 Introduction Let U be an open subset of the 4-dimensional real projective space RP4 and V an open subset of the 4-dimensional sphere S4. We study diffeomorphisms f : U → V that take all line segments lying in U to arcs of round circles lying in V . For the sake of brevity we will always say in the sequel that f takes all lines to circles. The purpose of this article is to give the complete list of such analytic diffeomorphisms. Remark. Given a diffeomorphism f : U → V that takes lines to circles, we can compose it with a projective transformation in the preimage (which takes lines to lines) and a conformal transformation in the image (which takes circles to circles). The result will be another diffeomorphism taking lines to circles. Example 1. For example, suppose that S4 is embedded in R5 as a Euclidean sphere and take an arbitrary hyperplane and an arbitrary point in R5. Obviously, the pro- jection of the hyperplane to S4 form the given point takes all lines to circles. -
The Hopf Fibration
THE HOPF FIBRATION The Hopf fibration is an important object in fields of mathematics such as topology and Lie groups and has many physical applications such as rigid body mechanics and magnetic monopoles. This project will introduce the Hopf fibration from the points of view of the quaternions and of the complex numbers. n n+1 Consider the standard unit sphere S ⊂ R to be the set of points (x0; x1; : : : ; xn) that satisfy the equation 2 2 2 x0 + x1 + ··· + xn = 1: One way to define the Hopf fibration is via the mapping h : S3 ! S2 given by (1) h(a; b; c; d) = (a2 + b2 − c2 − d2; 2(ad + bc); 2(bd − ac)): You should check that this is indeed a map from S3 to S2. 3 (1) First, we will use the quaternions to study rotations in R . As a set and as a 4 vector space, the set of quaternions is identical to R . There are 3 distinguished coordinate vectors{(0; 1; 0; 0); (0; 0; 1; 0); (0; 0; 0; 1){which are given the names i; j; k respectively. We write the vector (a; b; c; d) as a + bi + cj + dk. The multiplication rules for quaternions can be summarized via the following: i2 = j2 = k2 = −1; ij = k; jk = i; ki = j: Is quaternion multiplication commutative? Is it associative? We can define several other notions associated with quaternions. The conjugate of a quaternionp r = a + bi + cj + dk isr ¯ = a − bi − cj − dk. The norm of r is jjrjj = a2 + b2 + c2 + d2. -
Arxiv:1705.01294V1
Branes and Polytopes Luca Romano email address: [email protected] ABSTRACT We investigate the hierarchies of half-supersymmetric branes in maximal supergravity theories. By studying the action of the Weyl group of the U-duality group of maximal supergravities we discover a set of universal algebraic rules describing the number of independent 1/2-BPS p-branes, rank by rank, in any dimension. We show that these relations describe the symmetries of certain families of uniform polytopes. This induces a correspondence between half-supersymmetric branes and vertices of opportune uniform polytopes. We show that half-supersymmetric 0-, 1- and 2-branes are in correspondence with the vertices of the k21, 2k1 and 1k2 families of uniform polytopes, respectively, while 3-branes correspond to the vertices of the rectified version of the 2k1 family. For 4-branes and higher rank solutions we find a general behavior. The interpretation of half- supersymmetric solutions as vertices of uniform polytopes reveals some intriguing aspects. One of the most relevant is a triality relation between 0-, 1- and 2-branes. arXiv:1705.01294v1 [hep-th] 3 May 2017 Contents Introduction 2 1 Coxeter Group and Weyl Group 3 1.1 WeylGroup........................................ 6 2 Branes in E11 7 3 Algebraic Structures Behind Half-Supersymmetric Branes 12 4 Branes ad Polytopes 15 Conclusions 27 A Polytopes 30 B Petrie Polygons 30 1 Introduction Since their discovery branes gained a prominent role in the analysis of M-theories and du- alities [1]. One of the most important class of branes consists in Dirichlet branes, or D-branes. D-branes appear in string theory as boundary terms for open strings with mixed Dirichlet-Neumann boundary conditions and, due to their tension, scaling with a negative power of the string cou- pling constant, they are non-perturbative objects [2]. -
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 . -
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? . -
REGULAR POLYTOPES in Zn Contents 1. Introduction 1 2. Some
REGULAR POLYTOPES IN Zn ANDREI MARKOV Abstract. In [3], all embeddings of regular polyhedra in the three dimen- sional integer lattice were characterized. Here, we prove some results toward solving this problem for all higher dimensions. Similarly to [3], we consider a few special polytopes in dimension 4 that do not have analogues in higher dimensions. We then begin a classification of hypercubes, and consequently regular cross polytopes in terms of the generalized duality between the two. Fi- nally, we investigate lattice embeddings of regular simplices, specifically when such simplices can be inscribed in hypercubes of the same dimension. Contents 1. Introduction 1 2. Some special cases, and a word on convexity. 2 3. Hypercubes and Cross Polytopes 4 4. Simplices 4 5. Corrections 6 Acknowledgments 7 References 7 1. Introduction Definition 1.1. A regular polytope is a polytope such that its symmetry group action is transitive on its flags. This definition is not all that important to what we wish to accomplish, as the classification of all such polytopes is well known, and can be found, for example, in [2]. The particulars will be introduced as each case comes up. Definition 1.2. The dual of a polytope of dimension n is the polytope formed by taking the centroids of the n − 1 cells to be its vertices. The dual of the dual of a regular polytope is homothetic to the original with respect to their mutual center. We will say that a polytope is \in Zn" if one can choose a set of points in the lattice of integer points in Rn such that the points can form the vertices of said polytope. -
Hopf Fibration and Clifford Translation* of the 3-Sphere See Clifford Tori
Hopf Fibration and Clifford Translation* of the 3-sphere See Clifford Tori and their discussion first. Most rotations of the 3-dimensional sphere S3 are quite different from what we might expect from familiarity with 2-sphere rotations. To begin with, most of them have no fixed points, and in fact, certain 1-parameter subgroups of rotations of S3 resemble translations so much, that they are referred to as Clifford translations. The description by formulas looks nicer in complex notation. For this we identify R2 with C, as usual, and multiplication by i in C 0 1 represented in 2 by matrix multiplication by . R 1 −0 µ ∂ Then the unit sphere S3 in R4 is given by: 3 2 2 2 S := p = (z1, z2) C ; z1 + z2 = 1 { ∈ | | | | } 4 2 (x1, x2, x3, x4) R ; (xk) = 1 . ∼ { ∈ } X And for ϕ R we define the Clifford Translation Cϕ : 3 3 ∈ iϕ iϕ S S by Cϕ(z1, z2) := (e z1, e z2). → The orbits of the one-parameter group Cϕ are all great circles, and they are equidistant from each other in analogy to a family of parallel lines; it is because of this behaviour that the Cϕ are called Clifford translations. * This file is from the 3D-XplorMath project. Please see: http://3D-XplorMath.org/ 29 But in another respect the behaviour of the Cϕ is quite different from a translation – so different that it is diffi- cult to imagine in R3. At each point p S3 we have one ∈ 2-dimensional subspace of the tangent space of S3 which is orthogonal to the great circle orbit through p. -
Arxiv:1409.4130V2
H-REPRESENTATION OF THE KIMURA-3 POLYTOPE MARIE MAUHAR†, JOSEPH RUSINKO‡, AND ZOE VERNON§ Abstract. Given a group-based Markov model on a tree, one can compute the vertex represen- tation of a polytope describing a toric variety associated to the algebraic statistical model. In the case of Z2 or Z2 × Z2, these polytopes have applications in the field of phylogenetics. We provide a half-space representation for the m-claw tree where G = Z2 ×Z2, which corresponds to the Kimura-3 model of evolution. Key words. Facet description, Polytopes, Group-based phylogenetic models AMS subject classifications. 52B20 1. Introduction. Phylogenetic trees depict evolutionary relationships between proteins, genes or organisms. Many tree reconstruction methods assume evolution is described as a Markov process along the edges of the tree. The Markov matrices define the probability that a characteristic changes along the edge of the tree. The proba- bility of observing a particular collection of characteristics at the leaves of the tree can be computed as a polynomial in the (unknown) entries of the transition matrices. See [21] for an overview of this algebraic statistical viewpoint on phylogenetics. Given a tree and evolutionary model, invariants are polynomial relationships sat- isfied by the expected pattern frequencies occurring in sequences evolving along the tree under the Markov model [6, 11]. Algebraic geometry provides a framework for computing the complete set of invariants as the elements of a prime ideal that define an algebraic variety. Many classical varieties arise in the study of phylogenetic mod- els [10] as do modern objects such as conformal blocks [19] and Berenstein-Zelevinsky triangles [17].