Shelling Polyhedral 3-Balls and 4-Polytopes G¨Unter M. Ziegler
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A General Geometric Construction of Coordinates in a Convex Simplicial Polytope
A general geometric construction of coordinates in a convex simplicial polytope ∗ Tao Ju a, Peter Liepa b Joe Warren c aWashington University, St. Louis, USA bAutodesk, Toronto, Canada cRice University, Houston, USA Abstract Barycentric coordinates are a fundamental concept in computer graphics and ge- ometric modeling. We extend the geometric construction of Floater’s mean value coordinates [8,11] to a general form that is capable of constructing a family of coor- dinates in a convex 2D polygon, 3D triangular polyhedron, or a higher-dimensional simplicial polytope. This family unifies previously known coordinates, including Wachspress coordinates, mean value coordinates and discrete harmonic coordinates, in a simple geometric framework. Using the construction, we are able to create a new set of coordinates in 3D and higher dimensions and study its relation with known coordinates. We show that our general construction is complete, that is, the resulting family includes all possible coordinates in any convex simplicial polytope. Key words: Barycentric coordinates, convex simplicial polytopes 1 Introduction In computer graphics and geometric modelling, we often wish to express a point x as an affine combination of a given point set vΣ = {v1,...,vi,...}, x = bivi, where bi =1. (1) i∈Σ i∈Σ Here bΣ = {b1,...,bi,...} are called the coordinates of x with respect to vΣ (we shall use subscript Σ hereafter to denote a set). In particular, bΣ are called barycentric coordinates if they are non-negative. ∗ [email protected] Preprint submitted to Elsevier Science 3 December 2006 v1 v1 x x v4 v2 v2 v3 v3 (a) (b) Fig. -
Computational Design Framework 3D Graphic Statics
Computational Design Framework for 3D Graphic Statics 3D Graphic for Computational Design Framework Computational Design Framework for 3D Graphic Statics Juney Lee Juney Lee Juney ETH Zurich • PhD Dissertation No. 25526 Diss. ETH No. 25526 DOI: 10.3929/ethz-b-000331210 Computational Design Framework for 3D Graphic Statics A thesis submitted to attain the degree of Doctor of Sciences of ETH Zurich (Dr. sc. ETH Zurich) presented by Juney Lee 2015 ITA Architecture & Technology Fellow Supervisor Prof. Dr. Philippe Block Technical supervisor Dr. Tom Van Mele Co-advisors Hon. D.Sc. William F. Baker Prof. Allan McRobie PhD defended on October 10th, 2018 Degree confirmed at the Department Conference on December 5th, 2018 Printed in June, 2019 For my parents who made me, for Dahmi who raised me, and for Seung-Jin who completed me. Acknowledgements I am forever indebted to the Block Research Group, which is truly greater than the sum of its diverse and talented individuals. The camaraderie, respect and support that every member of the group has for one another were paramount to the completion of this dissertation. I sincerely thank the current and former members of the group who accompanied me through this journey from close and afar. I will cherish the friendships I have made within the group for the rest of my life. I am tremendously thankful to the two leaders of the Block Research Group, Prof. Dr. Philippe Block and Dr. Tom Van Mele. This dissertation would not have been possible without my advisor Prof. Block and his relentless enthusiasm, creative vision and inspiring mentorship. -
Fitting Tractable Convex Sets to Support Function Evaluations
Fitting Tractable Convex Sets to Support Function Evaluations Yong Sheng Sohy and Venkat Chandrasekaranz ∗ y Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis Singapore 138632 z Department of Computing and Mathematical Sciences Department of Electrical Engineering California Institute of Technology Pasadena, CA 91125, USA March 11, 2019 Abstract The geometric problem of estimating an unknown compact convex set from evaluations of its support function arises in a range of scientific and engineering applications. Traditional ap- proaches typically rely on estimators that minimize the error over all possible compact convex sets; in particular, these methods do not allow for the incorporation of prior structural informa- tion about the underlying set and the resulting estimates become increasingly more complicated to describe as the number of measurements available grows. We address both of these short- comings by describing a framework for estimating tractably specified convex sets from support function evaluations. Building on the literature in convex optimization, our approach is based on estimators that minimize the error over structured families of convex sets that are specified as linear images of concisely described sets { such as the simplex or the free spectrahedron { in a higher-dimensional space that is not much larger than the ambient space. Convex sets parametrized in this manner are significant from a computational perspective as one can opti- mize linear functionals over such sets efficiently; they serve a different purpose in the inferential context of the present paper, namely, that of incorporating regularization in the reconstruction while still offering considerable expressive power. We provide a geometric characterization of the asymptotic behavior of our estimators, and our analysis relies on the property that certain sets which admit semialgebraic descriptions are Vapnik-Chervonenkis (VC) classes. -
Polytopes with Special Simplices 3
POLYTOPES WITH SPECIAL SIMPLICES TIMO DE WOLFF Abstract. For a polytope P a simplex Σ with vertex set V(Σ) is called a special simplex if every facet of P contains all but exactly one vertex of Σ. For such polytopes P with face complex F(P ) containing a special simplex the sub- complex F(P )\V(Σ) of all faces not containing vertices of Σ is the boundary of a polytope Q — the basis polytope of P . If additionally the dimension of the affine basis space of F(P )\V(Σ) equals dim(Q), we call P meek; otherwise we call P wild. We give a full combinatorial classification and techniques for geometric construction of the class of meek polytopes with special simplices. We show that every wild polytope P ′ with special simplex can be constructed out of a particular meek one P by intersecting P with particular hyperplanes. It is non–trivial to find all these hyperplanes for an arbitrary basis polytope; we give an exact description for 2–basis polytopes. Furthermore we show that the f–vector of each wild polytope with special simplex is componentwise bounded above by the f–vector of a particular meek one which can be computed explicitly. Finally, we discuss the n–cube as a non–trivial example of a wild polytope with special simplex and prove that its basis polytope is the zonotope given by the Minkowski sum of the (n − 1)–cube and vector (1,..., 1). Polytopes with special simplex have applications on Ehrhart theory, toric rings and were just used by Francisco Santos to construct a counter–example disproving the Hirsch conjecture. -
Petrie Schemes
Canad. J. Math. Vol. 57 (4), 2005 pp. 844–870 Petrie Schemes Gordon Williams Abstract. Petrie polygons, especially as they arise in the study of regular polytopes and Coxeter groups, have been studied by geometers and group theorists since the early part of the twentieth century. An open question is the determination of which polyhedra possess Petrie polygons that are simple closed curves. The current work explores combinatorial structures in abstract polytopes, called Petrie schemes, that generalize the notion of a Petrie polygon. It is established that all of the regular convex polytopes and honeycombs in Euclidean spaces, as well as all of the Grunbaum–Dress¨ polyhedra, pos- sess Petrie schemes that are not self-intersecting and thus have Petrie polygons that are simple closed curves. Partial results are obtained for several other classes of less symmetric polytopes. 1 Introduction Historically, polyhedra have been conceived of either as closed surfaces (usually topo- logical spheres) made up of planar polygons joined edge to edge or as solids enclosed by such a surface. In recent times, mathematicians have considered polyhedra to be convex polytopes, simplicial spheres, or combinatorial structures such as abstract polytopes or incidence complexes. A Petrie polygon of a polyhedron is a sequence of edges of the polyhedron where any two consecutive elements of the sequence have a vertex and face in common, but no three consecutive edges share a commonface. For the regular polyhedra, the Petrie polygons form the equatorial skew polygons. Petrie polygons may be defined analogously for polytopes as well. Petrie polygons have been very useful in the study of polyhedra and polytopes, especially regular polytopes. -
Math 311. Polyhedra Name: a Candel CSUN Math ¶ 1. a Polygon May Be
Math 311. Polyhedra A Candel Name: CSUN Math ¶ 1. A polygon may be described as a finite region of the plane enclosed by a finite number of segments, arranged in such a way that (a) exactly two segments meets at every vertex, and (b) it is possible to go from any segment to any other segment by crossing vertices of the polygon. A polyhedron (plural: polyhedra) is a three dimensional figure enclosed by a finite number of polygons arranged in such a way that (a) exactly two polygons meet (at any angle) at every edge. (b) it is possible to get from every polygon to every other polygon by crossing edges of the polyhedron. ¶ 2. The simplest class of polyhedra are the simple polyhedra: those that can be continuously deformed into spheres. Within this class we find prisms and pyramids. Prism Pyramid If you round out the corners and smooth out the edges, you can think of a polyhedra as the surface of a spherical body. An so you may also think of the polyhedra, with its faces, edges, and vertices, as determining a decomposition of the surface of the sphere. ¶ 3. A polyhedron is called convex if the segment that joins any two of its points lies entirely in the polyhedron. Put in another way, a convex polyhedron is a finite region of space enclosed by a finite number of planes. Convexity is a geometric property, it can be destroyed by deformations. It is important because a convex polyhe- dron is always a simple polyhedron. (a) Can you draw a simple polyhedron that is not a convex polyhedron? November 4, 2009 1 Math 311. -
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 . -
Hwsolns5scan.Pdf
Math 462: Homework 5 Paul Hacking 3/27/10 (1) One way to describe a polyhedron is by cutting along some of the edges and folding it flat in the plane. The diagram obtained in this way is called a net. For example here is a net for the cube: Draw nets for the tetrahedron, octahedron, and dodecahedron. +~tfl\ h~~1l1/\ \(j [ NJte: T~ i) Mq~ u,,,,, cMi (O/r.(J 1 (2) Another way to describe a polyhedron is as follows: imagine that the faces of the polyhedron arc made of glass, look through one of the faces and draw the image you see of the remaining faces of the polyhedron. This image is called a Schlegel diagram. For example here is a Schlegel diagram for the octahedron. Note that the face you are looking through is not. drawn, hut the boundary of that face corresponds to the boundary of the diagram. Now draw a Schlegel diagram for the dodecahedron. (:~) (a) A pyramid is a polyhedron obtained from a. polygon with Rome number n of sides by joining every vertex of the polygon to a point lying above the plane of the polygon. The polygon is called the base of the pyramid and the additional vertex is called the apex, For example the Egyptian pyramids have base a square (so n = 4) and the tetrahedron is a pyramid with base an equilateral 2 I triangle (so n = 3). Compute the number of vertices, edges; and faces of a pyramid with base a polygon with n Rides. (b) A prism is a polyhedron obtained from a polygon (called the base of the prism) as follows: translate the polygon some distance in the direction normal to the plane of the polygon, and join the vertices of the original polygon to the corresponding vertices of the translated polygon. -
ADDENDUM the Following Remarks Were Added in Proof (November 1966). Page 67. an Easy Modification of Exercise 4.8.25 Establishes
ADDENDUM The following remarks were added in proof (November 1966). Page 67. An easy modification of exercise 4.8.25 establishes the follow ing result of Wagner [I]: Every simplicial k-"complex" with at most 2 k ~ vertices has a representation in R + 1 such that all the "simplices" are geometric (rectilinear) simplices. Page 93. J. H. Conway (private communication) has established the validity of the conjecture mentioned in the second footnote. Page 126. For d = 2, the theorem of Derry [2] given in exercise 7.3.4 was found earlier by Bilinski [I]. Page 183. M. A. Perles (private communication) recently obtained an affirmative solution to Klee's problem mentioned at the end of section 10.1. Page 204. Regarding the question whether a(~) = 3 implies b(~) ~ 4, it should be noted that if one starts from a topological cell complex ~ with a(~) = 3 it is possible that ~ is not a complex (in our sense) at all (see exercise 11.1.7). On the other hand, G. Wegner pointed out (in a private communication to the author) that the 2-complex ~ discussed in the proof of theorem 11.1 .7 indeed satisfies b(~) = 4. Page 216. Halin's [1] result (theorem 11.3.3) has recently been genera lized by H. A. lung to all complete d-partite graphs. (Halin's result deals with the graph of the d-octahedron, i.e. the d-partite graph in which each class of nodes contains precisely two nodes.) The existence of the numbers n(k) follows from a recent result of Mader [1] ; Mader's result shows that n(k) ~ k.2(~) . -
An Enduring Error
Version June 5, 2008 Branko Grünbaum: An enduring error 1. Introduction. Mathematical truths are immutable, but mathematicians do make errors, especially when carrying out non-trivial enumerations. Some of the errors are "innocent" –– plain mis- takes that get corrected as soon as an independent enumeration is carried out. For example, Daublebsky [14] in 1895 found that there are precisely 228 types of configurations (123), that is, collections of 12 lines and 12 points, each incident with three of the others. In fact, as found by Gropp [19] in 1990, the correct number is 229. Another example is provided by the enumeration of the uniform tilings of the 3-dimensional space by Andreini [1] in 1905; he claimed that there are precisely 25 types. However, as shown [20] in 1994, the correct num- ber is 28. Andreini listed some tilings that should not have been included, and missed several others –– but again, these are simple errors easily corrected. Much more insidious are errors that arise by replacing enumeration of one kind of ob- ject by enumeration of some other objects –– only to disregard the logical and mathematical distinctions between the two enumerations. It is surprising how errors of this type escape detection for a long time, even though there is frequent mention of the results. One example is provided by the enumeration of 4-dimensional simple polytopes with 8 facets, by Brückner [7] in 1909. He replaces this enumeration by that of 3-dimensional "diagrams" that he inter- preted as Schlegel diagrams of convex 4-polytopes, and claimed that the enumeration of these objects is equivalent to that of the polytopes. -
Math.CO] 14 May 2002 in Npriua,Tecne Ulof Hull Convex Descrip the Simple Particular, Similarly in No Tion
Fat 4-polytopes and fatter 3-spheres 1, 2, † 3, ‡ David Eppstein, ∗ Greg Kuperberg, and G¨unter M. Ziegler 1Department of Information and Computer Science, University of California, Irvine, CA 92697 2Department of Mathematics, University of California, Davis, CA 95616 3Institut f¨ur Mathematik, MA 6-2, Technische Universit¨at Berlin, D-10623 Berlin, Germany φ We introduce the fatness parameter of a 4-dimensional polytope P, defined as (P)=( f1 + f2)/( f0 + f3). It arises in an important open problem in 4-dimensional combinatorial geometry: Is the fatness of convex 4- polytopes bounded? We describe and analyze a hyperbolic geometry construction that produces 4-polytopes with fatness φ(P) > 5.048, as well as the first infinite family of 2-simple, 2-simplicial 4-polytopes. Moreover, using a construction via finite covering spaces of surfaces, we show that fatness is not bounded for the more general class of strongly regular CW decompositions of the 3-sphere. 1. INTRODUCTION Only the two extreme cases of simplicial and of simple 4- polytopes (or 3-spheres) are well-understood. Their f -vectors F correspond to faces of the convex hull of F , defined by the The characterization of the set 3 of f -vectors of convex 4 valid inequalities f 2 f and f 2 f , and the g-Theorem, 3-dimensional polytopes (from 1906, due to Steinitz [28]) is 2 ≥ 3 1 ≥ 0 well-known and explicit, with a simple proof: An integer vec- proved for 4-polytopes by Barnette [1] and for 3-spheres by Walkup [34], provides complete characterizations of their f - tor ( f0, f1, f2) is the f -vector of a 3-polytope if and only if it satisfies vectors. -
Combinatorial Aspects of Convex Polytopes Margaret M
Combinatorial Aspects of Convex Polytopes Margaret M. Bayer1 Department of Mathematics University of Kansas Carl W. Lee2 Department of Mathematics University of Kentucky August 1, 1991 Chapter for Handbook on Convex Geometry P. Gruber and J. Wills, Editors 1Supported in part by NSF grant DMS-8801078. 2Supported in part by NSF grant DMS-8802933, by NSA grant MDA904-89-H-2038, and by DIMACS (Center for Discrete Mathematics and Theoretical Computer Science), a National Science Foundation Science and Technology Center, NSF-STC88-09648. 1 Definitions and Fundamental Results 3 1.1 Introduction : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 1.2 Faces : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 1.3 Polarity and Duality : : : : : : : : : : : : : : : : : : : : : : : : : 3 1.4 Overview : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 2 Shellings 4 2.1 Introduction : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 2.2 Euler's Relation : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 2.3 Line Shellings : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 5 2.4 Shellable Simplicial Complexes : : : : : : : : : : : : : : : : : : : 5 2.5 The Dehn-Sommerville Equations : : : : : : : : : : : : : : : : : : 6 2.6 Completely Unimodal Numberings and Orientations : : : : : : : 7 2.7 The Upper Bound Theorem : : : : : : : : : : : : : : : : : : : : : 8 2.8 The Lower Bound Theorem : : : : : : : : : : : : : : : : : : : : : 9 2.9 Constructions Using Shellings : : : : : : : : : : : : :