Download Author Version (PDF)
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Simple Closed Geodesics on Regular Tetrahedra in Lobachevsky Space
Simple closed geodesics on regular tetrahedra in Lobachevsky space Alexander A. Borisenko, Darya D. Sukhorebska Abstract. We obtained a complete classification of simple closed geodesics on regular tetrahedra in Lobachevsky space. Also, we evaluated the number of simple closed geodesics of length not greater than L and found the asymptotic of this number as L goes to infinity. Keywords: closed geodesics, simple geodesics, regular tetrahedron, Lobachevsky space, hyperbolic space. MSC: 53С22, 52B10 1 Introduction A closed geodesic is called simple if this geodesic is not self-intersecting and does not go along itself. In 1905 Poincare proposed the conjecture on the existence of three simple closed geodesics on a smooth convex surface in three-dimensional Euclidean space. In 1917 J. Birkhoff proved that there exists at least one simple closed geodesic on a Riemannian manifold that is home- omorphic to a sphere of arbitrary dimension [1]. In 1929 L. Lyusternik and L. Shnirelman obtained that there exist at least three simple closed geodesics on a compact simply-connected two-dimensional Riemannian manifold [2], [3]. But the proof by Lyusternik and Shnirelman contains substantial gaps. I. A. Taimanov gives a complete proof of the theorem that on each smooth Riemannian manifold homeomorphic to the two-dimentional sphere there exist at least three distinct simple closed geodesics [4]. In 1951 L. Lyusternik and A. Fet stated that there exists at least one closed geodesic on any compact Riemannian manifold [5]. In 1965 Fet improved this results. He proved that there exist at least two closed geodesics on a compact Riemannian manifold under the assumption that all closed geodesics are non-degenerate [6]. -
JMM 2017 Student Poster Session Abstract Book
Abstracts for the MAA Undergraduate Poster Session Atlanta, GA January 6, 2017 Organized by Eric Ruggieri College of the Holy Cross and Chasen Smith Georgia Southern University Organized by the MAA Committee on Undergraduate Student Activities and Chapters and CUPM Subcommittee on Research by Undergraduates Dear Students, Advisors, Judges and Colleagues, If you look around today you will see over 300 posters and nearly 500 student presenters, representing a wide array of mathematical topics and ideas. These posters showcase the vibrant research being conducted as part of summer programs and during the academic year at colleges and universities from across the United States and beyond. It is so rewarding to see this session, which offers such a great opportunity for interaction between students and professional mathematicians, continue to grow. The judges you see here today are professional mathematicians from institutions around the world. They are advisors, colleagues, new Ph.D.s, and administrators. We have acknowledged many of them in this booklet; however, many judges here volunteered on site. Their support is vital to the success of the session and we thank them. We are supported financially by Tudor Investments and Two Sigma. We are also helped by the mem- bers of the Committee on Undergraduate Student Activities and Chapters (CUSAC) in some way or other. They are: Dora C. Ahmadi; Jennifer Bergner; Benjamin Galluzzo; Kristina Cole Garrett; TJ Hitchman; Cynthia Huffman; Aihua Li; Sara Louise Malec; Lisa Marano; May Mei; Stacy Ann Muir; Andy Nieder- maier; Pamela A. Richardson; Jennifer Schaefer; Peri Shereen; Eve Torrence; Violetta Vasilevska; Gerard A. -
Geometric Algorithms for Optimal Airspace Design and Air Traffic
Geometric Algorithms for Optimal Airspace Design and Air Traffic Controller Workload Balancing AMITABH BASU Carnegie Mellon University JOSEPH S. B. MITCHELL Stony Brook University and GIRISHKUMAR SABHNANI Stony Brook University The National Airspace System (NAS) is designed to accommodate a large number of flights over North America. For purposes of workload limitations for air traffic controllers, the airspace is partitioned into approximately 600 sectors; each sector is observed by one or more controllers. In order to satisfy workload limitations for controllers, it is important that sectors be designed carefully according to the traffic patterns of flights, so that no sector becomes overloaded. We formulate and study the airspace sectorization problem from an algorithmic point of view, model- ing the problem of optimal sectorization as a geometric partition problem with constraints. The novelty of the problem is that it partitions data consisting of trajectories of moving points, rather than static point set partitioning that is commonly studied. First, we formulate and solve the 1D version of the problem, showing how to partition a line into “sectors” (intervals) according to historical trajectory data. Then, we apply the 1D solution framework to design a 2D sectoriza- tion heuristic based on binary space partitions. We also devise partitions based on balanced “pie partitions” of a convex polygon. We evaluate our 2D algorithms experimentally, applying our algorithms to actual historical flight track data for the NAS. We compare the workload balance of our methods to that of the existing set of sectors for the NAS and find that our resectorization yields competitive and improved workload balancing. -
Coloring Copoints of a Planar Point Set
Coloring Copoints of a Planar Point Set Walter Morris Department of Mathematical Sciences George Mason University 4400 University Drive, Fairfax, VA 22030, USA Abstract To a set of n points in the plane, one can associate a graph that has less than n2 vertices and has the property that k-cliques in the graph correspond vertex sets of convex k-gons in the point set. We prove an upper bound of 2k¡1 on the size of a planar point set for which the graph has chromatic number k, matching the bound con- jectured by Szekeres for the clique number. Constructions of Erd}os and Szekeres are shown to yield graphs that have very low chromatic number. The constructions are carried out in the context of pseudoline arrangements. 1 Introduction Let X be a ¯nite set of points in IR2. We will assume that X is in general position, that is, no three points of X are on a line. A subset C of X is called closed if C = K \ X for some convex subset K of IR2. The set C of closed subsets of X, partially ordered by inclusion, is a lattice. If x 2 X and A is a closed subset of X that does not contain x and is inclusion-maximal among all closed subsets of X that do not contain x, then A is called a copoint of X attached to x. In the more general context of antimatroids, or convex geometries, co- points have been studied in [1], [2] and [3]. It is shown in these references that every copoint is attached to a unique point of X, and that the copoints are the meet-irreducible elements of the lattice of closed sets. -
30 ARRANGEMENTS Dan Halperin and Micha Sharir
30 ARRANGEMENTS Dan Halperin and Micha Sharir INTRODUCTION Given a finite collection of geometric objects such as hyperplanes or spheres in Rd, the arrangement ( S) is the decomposition of Rd into connected open cells of dimensions 0, 1,...,d AinducedS by . Besides being interesting in their own right, ar- rangements of hyperplanes have servedS as a unifying structure for many problems in discrete and computational geometry. With the recent advances in the study of arrangements of curved (algebraic) surfaces, arrangements have emerged as the underlying structure of geometric problems in a variety of “physical world” applica- tion domains such as robot motion planning and computer vision. This chapter is devoted to arrangements of hyperplanes and of curved surfaces in low-dimensional Euclidean space, with an emphasis on combinatorics and algorithms. In the first section we introduce basic terminology and combinatorics of ar- rangements. In Section 30.2 we describe substructures in arrangements and their combinatorial complexity. Section 30.3 deals with data structures for representing arrangements and with special refinements of arrangements. The following two sections focus on algorithms: algorithms for constructing full arrangements are described in Section 30.4, and algorithms for constructing substructures in Sec- tion 30.5. In Section 30.6 we discuss the relation between arrangements and other structures. Several applications of arrangements are reviewed in Section 30.7. Sec- tion 30.8 deals with robustness issues when implementing algorithms and data structures for arrangements and Section 30.9 surveys software implementations. We conclude in Section 30.10 with a brief review of Davenport-Schinzel sequences, a combinatorial structure that plays an important role in the analysis of arrange- ments. -
Arrangements of Approaching Pseudo-Lines
Arrangements of Approaching Pseudo-Lines Stefan Felsner∗1, Alexander Pilzy2, and Patrick Schnider3 1Institut f¨urMathematik, Technische Universit¨atBerlin, [email protected] 2Institute of SoftwareTechnology, Graz University of Technology, Austria, [email protected] 3Department of Computer Science, ETH Z¨urich, Switzerland, [email protected] January 24, 2020 Abstract We consider arrangements of n pseudo-lines in the Euclidean plane where each pseudo-line `i is represented by a bi-infinite connected x-monotone curve fi(x), x 2 R, s.t. for any two pseudo-lines `i and `j with i < j, the function x 7! fj (x) − fi(x) is monotonically decreasing and surjective (i.e., the pseudo-lines approach each other until they cross, and then move away from each other). We show that such arrangements of approaching pseudo-lines, under some aspects, behave similar to arrangements of lines, while for other aspects, they share the freedom of general pseudo-line arrangements. For the former, we prove: • There are arrangements of pseudo-lines that are not realizable with approaching pseudo-lines. • Every arrangement of approaching pseudo-lines has a dual generalized configura- tion of points with an underlying arrangement of approaching pseudo-lines. For the latter, we show: 2 • There are 2Θ(n ) isomorphism classes of arrangements of approaching pseudo-lines (while there are only 2Θ(n log n) isomorphism classes of line arrangements). • It can be decided in polynomial time whether an allowable sequence is realizable by an arrangement of approaching pseudo-lines. Furthermore, arrangements of approaching pseudo-lines can be transformed into each arXiv:2001.08419v1 [cs.CG] 23 Jan 2020 other by flipping triangular cells, i.e., they have a connected flip graph, and every bichromatic arrangement of this type contains a bichromatic triangular cell. -
Electronic Reprint a Coloring-Book Approach to Finding Coordination
electronic reprint ISSN: 2053-2733 journals.iucr.org/a A coloring-book approach to finding coordination sequences C. Goodman-Strauss and N. J. A. Sloane Acta Cryst. (2019). A75, 121–134 IUCr Journals CRYSTALLOGRAPHY JOURNALS ONLINE Copyright c International Union of Crystallography Author(s) of this paper may load this reprint on their own web site or institutional repository provided that this cover page is retained. Republication of this article or its storage in electronic databases other than as specified above is not permitted without prior permission in writing from the IUCr. For further information see http://journals.iucr.org/services/authorrights.html Acta Cryst. (2019). A75, 121–134 Goodman-Strauss and Sloane · Finding coordination sequences research papers A coloring-book approach to finding coordination sequences ISSN 2053-2733 C. Goodman-Straussa and N. J. A. Sloaneb* aDepartment of Mathematical Sciences, University of Arkansas, Fayetteville, AR 72701, USA, and bThe OEIS Foundation Inc., 11 So. Adelaide Ave., Highland Park, NJ 08904, USA. *Correspondence e-mail: [email protected] Received 30 May 2018 Accepted 14 October 2018 An elementary method is described for finding the coordination sequences for a tiling, based on coloring the underlying graph. The first application is to the two kinds of vertices (tetravalent and trivalent) in the Cairo (or dual-32.4.3.4) tiling. Edited by J.-G. Eon, Universidade Federal do Rio The coordination sequence for a tetravalent vertex turns out, surprisingly, to be de Janeiro, Brazil 1, 4, 8, 12, 16, ..., the same as for a vertex in the familiar square (or 44) tiling. -
Arrangements of Approaching Pseudo-Lines
1 Arrangements of Approaching Pseudo-Lines ∗1 †2 3 2 Stefan Felsner , Alexander Pilz , and Patrick Schnider 1 3 Institut f¨urMathematik, Technische Universit¨atBerlin, 4 [email protected] 2 5 Institute of SoftwareTechnology, Graz University of Technology, Austria, 6 [email protected] 3 7 Department of Computer Science, ETH Z¨urich, Switzerland, 8 [email protected] 9 August 23, 2020 10 Abstract 11 We consider arrangements of n pseudo-lines in the Euclidean plane where each 12 pseudo-line `i is represented by a bi-infinite connected x-monotone curve fi(x), x 2 R, 13 such that for any two pseudo-lines `i and `j with i < j, the function x 7! fj (x)−fi(x) is 14 monotonically decreasing and surjective (i.e., the pseudo-lines approach each other until 15 they cross, and then move away from each other). We show that such arrangements of 16 approaching pseudo-lines, under some aspects, behave similar to arrangements of lines, 17 while for other aspects, they share the freedom of general pseudo-line arrangements. 18 For the former, we prove: 19 • There are arrangements of pseudo-lines that are not realizable with approaching 20 pseudo-lines. 21 • Every arrangement of approaching pseudo-lines has a dual generalized configura- 22 tion of points with an underlying arrangement of approaching pseudo-lines. 23 For the latter, we show: Θ(n2) 24 • There are 2 isomorphism classes of arrangements of approaching pseudo-lines Θ(n log n) 25 (while there are only 2 isomorphism classes of line arrangements). -
5 PSEUDOLINE ARRANGEMENTS Stefan Felsner and Jacob E
5 PSEUDOLINE ARRANGEMENTS Stefan Felsner and Jacob E. Goodman INTRODUCTION Pseudoline arrangements generalize in a natural way arrangements of straight lines, discarding the straightness aspect, but preserving their basic topological and com- binatorial properties. Elementary and intuitive in nature, at the same time, by the Folkman-Lawrence topological representation theorem (see Chapter 6), they provide a concrete geometric model for oriented matroids of rank 3. After their explicit description by Levi in the 1920’s, and the subsequent devel- opment of the theory by Ringel in the 1950’s, the major impetus was given in the 1970’s by Gr¨unbaum’s monograph Arrangements and Spreads, in which a number of results were collected and a great many problems and conjectures posed about arrangements of both lines and pseudolines. The connection with oriented ma- troids discovered several years later led to further work. The theory is by now very well developed, with many combinatorial and topological results and connections to other areas as for example algebraic combinatorics, as well as a large number of applications in computational geometry. In comparison to arrangements of lines arrangements of pseudolines have the advantage that they are more general and allow for a purely combinatorial treatment. Section 5.1 is devoted to the basic properties of pseudoline arrangements, and Section 5.2 to related structures, such as arrangements of straight lines, configura- tions (and generalized configurations) of points, and allowable sequences of permu- tations. (We do not discuss the connection with oriented matroids, however; that is included in Chapter 6.) In Section 5.3 we discuss the stretchability problem. -
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). -
Conformal Tilings & Type
Florida State University Libraries 2016 Conformal Tilings and Type Dane Mayhook Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES CONFORMAL TILINGS & TYPE By DANE MAYHOOK A Dissertation submitted to the Department of Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy 2016 Copyright c 2016 Dane Mayhook. All Rights Reserved. Dane Mayhook defended this dissertation on July 13, 2016. The members of the supervisory committee were: Philip L. Bowers Professor Directing Dissertation Mark Riley University Representative Wolfgang Heil Committee Member Eric Klassen Committee Member The Graduate School has verified and approved the above-named committee members, and certifies that the dissertation has been approved in accordance with university requirements. ii To my family. iii ACKNOWLEDGMENTS The completion of this document represents the end of a long and arduous road, but it was not one that I traveled alone, and there are several people that I would like to acknowledge and offer my sincere gratitude to for their assistance in this journey. First, I would like to give my infinite thanks to my Ph.D. adviser Professor Philip L. Bowers, without whose advice, expertise, and guidance over the years this dissertation would not have been possible. I could not have hoped for a better adviser, as his mentorship—both on this piece of work, and on my career as a whole—was above and beyond anything I could have asked for. I would also like to thank Professor Ken Stephenson, whose assistance—particularly in using his software CirclePack, which produced many of the figures in this document—has been greatly appreciated. -
Uniform Panoploid Tetracombs
Uniform Panoploid Tetracombs George Olshevsky TETRACOMB is a four-dimensional tessellation. In any tessellation, the honeycells, which are the n-dimensional polytopes that tessellate the space, Amust by definition adjoin precisely along their facets, that is, their ( n!1)- dimensional elements, so that each facet belongs to exactly two honeycells. In the case of tetracombs, the honeycells are four-dimensional polytopes, or polychora, and their facets are polyhedra. For a tessellation to be uniform, the honeycells must all be uniform polytopes, and the vertices must be transitive on the symmetry group of the tessellation. Loosely speaking, therefore, the vertices must be “surrounded all alike” by the honeycells that meet there. If a tessellation is such that every point of its space not on a boundary between honeycells lies in the interior of exactly one honeycell, then it is panoploid. If one or more points of the space not on a boundary between honeycells lie inside more than one honeycell, the tessellation is polyploid. Tessellations may also be constructed that have “holes,” that is, regions that lie inside none of the honeycells; such tessellations are called holeycombs. It is possible for a polyploid tessellation to also be a holeycomb, but not for a panoploid tessellation, which must fill the entire space exactly once. Polyploid tessellations are also called starcombs or star-tessellations. Holeycombs usually arise when (n!1)-dimensional tessellations are themselves permitted to be honeycells; these take up the otherwise free facets that bound the “holes,” so that all the facets continue to belong to two honeycells. In this essay, as per its title, we are concerned with just the uniform panoploid tetracombs.