Exploring Topics of the Art Gallery Problem
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Proofs from the BOOK.Pdf
Martin Aigner Günter M. Ziegler Proofs from THE BOOK Fourth Edition Martin Aigner Günter M. Ziegler Proofs from THE BOOK Fourth Edition Including Illustrations by Karl H. Hofmann 123 Prof. Dr. Martin Aigner Prof.GünterM.Ziegler FB Mathematik und Informatik Institut für Mathematik, MA 6-2 Freie Universität Berlin Technische Universität Berlin Arnimallee 3 Straße des 17. Juni 136 14195 Berlin 10623 Berlin Deutschland Deutschland [email protected] [email protected] ISBN 978-3-642-00855-9 e-ISBN 978-3-642-00856-6 DOI 10.1007/978-3-642-00856-6 Springer Heidelberg Dordrecht London New York c Springer-Verlag Berlin Heidelberg 2010 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: deblik, Berlin Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Preface Paul Erdosliked˝ to talk aboutThe Book, in which God maintainsthe perfect proofsfor mathematical theorems, following the dictum of G. -
Stony Brook University
SSStttooonnnyyy BBBrrrooooookkk UUUnnniiivvveeerrrsssiiitttyyy The official electronic file of this thesis or dissertation is maintained by the University Libraries on behalf of The Graduate School at Stony Brook University. ©©© AAAllllll RRRiiiggghhhtttsss RRReeessseeerrrvvveeeddd bbbyyy AAAuuuttthhhooorrr... Combinatorics and Complexity in Geometric Visibility Problems A Dissertation Presented by Justin G. Iwerks to The Graduate School in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Applied Mathematics and Statistics (Operations Research) Stony Brook University August 2012 Stony Brook University The Graduate School Justin G. Iwerks We, the dissertation committee for the above candidate for the Doctor of Philosophy degree, hereby recommend acceptance of this dissertation. Joseph S. B. Mitchell - Dissertation Advisor Professor, Department of Applied Mathematics and Statistics Esther M. Arkin - Chairperson of Defense Professor, Department of Applied Mathematics and Statistics Steven Skiena Distinguished Teaching Professor, Department of Computer Science Jie Gao - Outside Member Associate Professor, Department of Computer Science Charles Taber Interim Dean of the Graduate School ii Abstract of the Dissertation Combinatorics and Complexity in Geometric Visibility Problems by Justin G. Iwerks Doctor of Philosophy in Applied Mathematics and Statistics (Operations Research) Stony Brook University 2012 Geometric visibility is fundamental to computational geometry and its ap- plications in areas such as robotics, sensor networks, CAD, and motion plan- ning. We explore combinatorial and computational complexity problems aris- ing in a collection of settings that depend on various notions of visibility. We first consider a generalized version of the classical art gallery problem in which the input specifies the number of reflex vertices r and convex vertices c of the simple polygon (n = r + c). -
Paul Erdős Mathematical Genius, Human (In That Order)
Paul Erdős Mathematical Genius, Human (In That Order) By Joshua Hill MATH 341-01 4 June 2004 "A Mathematician, like a painter or a poet, is a maker of patterns. If his patterns are more permanent that theirs, it is because the are made with ideas... The mathematician's patterns, like the painter's or the poet's, must be beautiful; the ideas, like the colours of the words, must fit together in a harmonious way. Beauty is the first test: there is no permanent place in the world for ugly mathematics." --G.H. Hardy "Why are numbers beautiful? It's like asking why is Beethoven's Ninth Symphony beautiful. If you don't see why, someone can't tell you. I know numbers are beautiful. If they aren't beautiful, nothing is." -- Paul Erdős "One of the first people I met in Princeton was Paul Erdős. He was 26 years old at the time, and had his Ph.D. for several years, and had been bouncing from one postdoctoral fellowship to another... Though I was slightly younger, I considered myself wiser in the ways of the world, and I lectured Erdős "This fellowship business is all well and good, but it can't go on for much longer -- jobs are hard to get -- you had better get on the ball and start looking for a real honest job." ... Forty years after my sermon, Erdős hasn't found it necessary to look for an "honest" job yet." -- Paul Halmos Introduction Paul Erdős (said "Air-daish") was a brilliant and prolific mathematician, who was central to the advancement of several major branches of mathematics. -
Proofs from the BOOK Third Edition Springer-Verlag Berlin Heidelberg Gmbh Martin Aigner Gunter M
Martin Aigner Gunter M. Ziegler Proofs from THE BOOK Third Edition Springer-Verlag Berlin Heidelberg GmbH Martin Aigner Gunter M. Ziegler Proofs from THE BOOK Third Edition With 250 Figures Including Illustrations by Karl H. Hofmann Springer Martin Aigner Gunter M. Ziegler Freie Universitat Berlin Technische Universitat Berlin Institut flir Mathematik II (WE2) Institut flir Mathematik, MA 6-2 Arnimallee 3 StraBe des 17. Juni 136 14195 Berlin, Germany 10623 Berlin, Germany email: [email protected] email: [email protected] Cataloging-in-Publication Data applied for A catalog record for this book is available from the Library of Congress Bibliographic information published by Die Deutsche Bibliothek Die Deutsche Bibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the Internet at http://dnb.ddb.de. Mathematics Subject Classification (2000): 00-01 (General) ISBN 978-3-662-05414-7 ISBN 978-3-662-05412-3 (eBook) DOl 10 .1007/978-3 -662-05412-3 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Viola tions are liable for prosecution under the German Copyright Law. © Springer-Verlag Berlin Heidelberg 1998,2001,2004 Originally published by Springer-Verlag Berlin Heidelberg New York in 2004. -
The Art Gallery Theorem
Outline The players The theorem The proof from THE BOOK Variations The Art Gallery Theorem Vic Reiner, Univ. of Minnesota Monthly Math Hour at UW May 18, 2014 Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations 1 The players 2 The theorem 3 The proof from THE BOOK 4 Variations Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Victor Klee, formerly of UW Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Klee’s question posed to V. Chvátal Given the floor plan of a weirdly shaped art gallery having N straight sides, how many guards will we need to post, in the worst case, so that every bit of wall is visible to a guard? Can one do it with N=3 guards? Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Klee’s question posed to V. Chvátal Given the floor plan of a weirdly shaped art gallery having N straight sides, how many guards will we need to post, in the worst case, so that every bit of wall is visible to a guard? Can one do it with N=3 guards? Vic Reiner, Univ. of Minnesota The Art Gallery Theorem Outline The players The theorem The proof from THE BOOK Variations Vasek Chvátal: Yes, I can prove that! Vic Reiner, Univ. -
AN EXPOSITION of MONSKY's THEOREM Contents 1. Introduction
AN EXPOSITION OF MONSKY'S THEOREM WILLIAM SABLAN Abstract. Since the 1970s, the problem of dividing a polygon into triangles of equal area has been a surprisingly difficult yet rich field of study. This paper gives an exposition of some of the combinatorial and number theoretic ideas used in this field. Specifically, this paper will examine how these methods are used to prove Monsky's theorem which states only an even number of triangles of equal area can divide a square. Contents 1. Introduction 1 2. The p-adic Valuation and Absolute Value 2 3. Sperner's Lemma 3 4. Proof of Monsky's Theorem 4 Acknowledgments 7 References 7 1. Introduction If one tried to divide a square into triangles of equal area, one would see in Figure 1 that an even number of such triangles would work, but could an odd number work? Fred Richman [3], a professor at New Mexico State, considered using this question in an exam for graduate students in 1965. After being unable to find any reference or answer to this question, he decided to ask it in the American Mathematical Monthly. n Figure 1. Dissection of squares into an even number of triangles After 5 years, Paul Monsky [4] finally found an answer when he proved that only an even number of triangles of equal area could divide a square, which later came to be known as Monsky's theorem. Formally, the theorem states: Theorem 1.1 (Monsky [4]). Let S be a square in the plane. If a triangulation of S into m triangles of equal area is given, then m is even. -
CSE 5319-001 (Computational Geometry) SYLLABUS
CSE 5319-001 (Computational Geometry) SYLLABUS Spring 2012: TR 11:00-12:20, ERB 129 Instructor: Bob Weems, Associate Professor, http://ranger.uta.edu/~weems Office: 627 ERB, 817/272-2337 ([email protected]) Hours: TR 12:30-1:50 PM and by appointment (please email by 8:30 AM) Prerequisite: Advanced Algorithms (CSE 5311) Objective: Ability to apply and expand geometric techniques in computing. Outcomes: 1. Exposure to algorithms and data structures for geometric problems. 2. Exposure to techniques for addressing degenerate cases. 3. Exposure to randomization as a tool for developing geometric algorithms. 4. Experience using CGAL with C++/STL. Textbooks: M. de Berg et.al., Computational Geometry: Algorithms and Applications, 3rd ed., Springer-Verlag, 2000. https://libproxy.uta.edu/login?url=http://www.springerlink.com/content/k18243 S.L. Devadoss and J. O’Rourke, Discrete and Computational Geometry, Princeton University Press, 2011. References: Adobe Systems Inc., PostScript Language Tutorial and Cookbook, Addison-Wesley, 1985. (http://Www-cdf.fnal.gov/offline/PostScript/BLUEBOOK.PDF) B. Casselman, Mathematical Illustrations: A Manual of Geometry and PostScript, Springer-Verlag, 2005. (http://www.math.ubc.ca/~cass/graphics/manual) CGAL User and Reference Manual (http://www.cgal.org/Manual) T. Cormen, et.al., Introduction to Algorithms, 3rd ed., MIT Press, 2009. E.D. Demaine and J. O’Rourke, Geometric Folding Algorithms: Linkages, Origami, Polyhedra, Cambridge University Press, 2007. (occasionally) J. O’Rourke, Art Gallery Theorems and Algorithms, Oxford Univ. Press, 1987. (http://maven.smith.edu/~orourke/books/ArtGalleryTheorems/art.html, occasionally) J. O’Rourke, Computational Geometry in C, 2nd ed., Cambridge Univ. -
Optimal Higher Order Delaunay Triangulations of Polygons*
Optimal Higher Order Delaunay Triangulations of Polygons Rodrigo I. Silveira and Marc van Kreveld Department of Information and Computing Sciences Utrecht University, 3508 TB Utrecht, The Netherlands {rodrigo,marc}@cs.uu.nl Abstract. This paper presents an algorithm to triangulate polygons optimally using order-k Delaunay triangulations, for a number of qual- ity measures. The algorithm uses properties of higher order Delaunay triangulations to improve the O(n3) running time required for normal triangulations to O(k2n log k + kn log n) expected time, where n is the number of vertices of the polygon. An extension to polygons with points inside is also presented, allowing to compute an optimal triangulation of a polygon with h ≥ 1 components inside in O(kn log n)+O(k)h+2n expected time. Furthermore, through experimental results we show that, in practice, it can be used to triangulate point sets optimally for small values of k. This represents the first practical result on optimization of higher order Delaunay triangulations for k>1. 1 Introduction One of the best studied topics in computational geometry is the triangulation. When the input is a point set P , it is defined as a subdivision of the plane whose bounded faces are triangles and whose vertices are the points of P .When the input is a polygon, the goal is to decompose it into triangles by drawing diagonals. Triangulations have applications in a large number of fields, including com- puter graphics, multivariate analysis, mesh generation, and terrain modeling. Since for a given point set or polygon, many triangulations exist, it is possible to try to find one that is the best according to some criterion that measures some property of the triangulation. -
Polygon Decomposition Motivation: Art Gallery Problem Art Gallery Problem
CG Lecture 3 Motivation: Art gallery problem Definition: two points q and r in a Polygon decomposition simple polygon P can see each other if the open segment qr R lies entirely within P. 1. Polygon triangulation p q • Triangulation theory A point p guards a region • Monotone polygon triangulation R ⊆ P if p sees all q∈R 2. Polygon decomposition into monotone r pieces Problem: Given a polygon P, what 3. Trapezoidal decomposition is the minimum number of guards 4. Convex decomposition required to guard P, and what are their locations? 5. Other results 1 2 Simple observations Art gallery problem: upper bound • Convex polygon: all points • Theorem: Every simple planar are visible from all other polygon with n vertices has a points only one guard in triangulation of size n-2 (proof any location is necessary! later). convex • Star-shaped polygon: all • n-2 guards suffice for an n-gon: points are visible from any • Subdivide the polygon into n–2 point in the kernel only triangles (triangulation). one guard located in its • Place one guard in each triangle. kernel is necessary. star-shaped 3 4 Art gallery problem: lower bound Simple polygon triangulation • There exists a Input: a polygon P polygon with n described by an ordered vertices, for which sequence of vertices ⎣n/3⎦ guards are <v0, …vn–1>. necessary. Output: a partition of P Can we improve the upper into n–2 non-overlapping • Therefore, ⎣n/3⎦ bound? triangles and the guards are needed in adjacencies between Yes! In fact, at most ⎣n/3⎦ the worst case. -
Two Algorithms for Constructing a Delaunay Triangulation 1
International Journal of Computer and Information Sciences, Vol. 9, No. 3, 1980 Two Algorithms for Constructing a Delaunay Triangulation 1 D. T. Lee 2 and B. J. Schachter 3 Received July 1978; revised February 1980 This paper provides a unified discussion of the Delaunay triangulation. Its geometric properties are reviewed and several applications are discussed. Two algorithms are presented for constructing the triangulation over a planar set of Npoints. The first algorithm uses a divide-and-conquer approach. It runs in O(Nlog N) time, which is asymptotically optimal. The second algorithm is iterative and requires O(N 2) time in the worst case. However, its average case performance is comparable to that of the first algorithm. KEY WORDS: Delaunay triangulation; triangulation; divide-and-con- quer; Voronoi tessellation; computational geometry; analysis of algorithms. 1. INTRODUCTION In this paper we consider the problem of triangulating a set of points in the plane. Let V be a set of N ~> 3 distinct points in the Euclidean plane. We assume that these points are not all colinear. Let E be the set of (n) straight- line segments (edges) between vertices in V. Two edges el, e~ ~ E, el ~ e~, will be said to properly intersect if they intersect at a point other than their endpoints. A triangulation of V is a planar straight-line graph G(V, E') for which E' is a maximal subset of E such that no two edges of E' properly intersect.~16~ 1 This work was supported in part by the National Science Foundation under grant MCS-76-17321 and the Joint Services Electronics Program under contract DAAB-07- 72-0259. -
An Introductory Study on Art Gallery Theorems and Problems
AN INTRODUCTORY STUDY ON ART GALLERY THEOREMS AND PROBLEMS JEFFRY CHHIBBER M Dept of Mathematics, Noorul Islam Centre of Higher Education, Kanyakumari, Tamil Nadu, India. E-mail: [email protected] Abstract - In computational geometry and robot motion planning, a visibility graph is a graph of intervisible locations, typically for a set of points and obstacles in the Euclidean plane. Visibility graphs may also be used to calculate the placement of radio antennas, or as a tool used within architecture and urban planningthrough visibility graph analysis. This is a brief survey on the visibility graphs application in Art Gallery Problems and Theorems. Keywords- Art galley theorems, orthogonal polygon, triangulation, Visibility graphs I. INTRODUCTION point y outside of P if the segment xy is nowhere interior to P; xy may intersect ∂P, the boundary of P. In a visibility graph, each node in the graph Star polygon: A polygon visible from a single interior represents a point location, and each edge represents point. Diagonal: A segment inside a polygon whose a visible connectionbetween them. That is, if the line endpoints are vertices, and which otherwise does not segment connecting two locations does not pass touch ∂P. Floodlight: A light that illuminates from the through any obstacle, an edge is drawn between them apex of a cone with aperture α. Vertex floodlight: in the graph. Lozano-Perez & Wesley (1979) attribute One whose apex is at a vertex (at most one per the visibility graph method for Euclidean shortest vertex). paths to research in 1969 by Nils Nilsson on motion planning for Shakey the robot, and also cite a 1973 The problem: description of this method by Russian mathematicians What is the art gallery problem? M. -
3.1 Prime Numbers
Chapter 3 I Number Theory 159 3.1 Prime Numbers Prime numbers serve as the basic building blocks in the multiplicative structure of the integers. As you may recall, an integer n greater than one is prime if its only positive integer multiplicative factors are 1 and n. Furthermore, every integer can be expressed as a product of primes, and this expression is unique up to the order of the primes in the product. This important insight into the multiplicative structure of the integers has become known as the fundamental theorem of arithmetic . Beneath the simplicity of the prime numbers lies a sophisticated world of insights and results that has intrigued mathematicians for centuries. By the third century b.c.e. , Greek mathematicians had defined prime numbers, as one might expect from their familiarity with the division algorithm. In Book IX of Elements [73], Euclid gives a proof of the infinitude of primes—one of the most elegant proofs in all of mathematics. Just as important as this understanding of prime numbers are the many unsolved questions about primes. For example, the Riemann hypothesis is one of the most famous open questions in all of mathematics. This claim provides an analytic formula for the number of primes less than or equal to any given natural number. A proof of the Riemann hypothesis also has financial rewards. The Clay Mathematics Institute has chosen six open questions (including the Riemann hypothesis)—a complete solution of any one would earn a $1 million prize. Working toward defining a prime number, we recall an important theorem and definition from section 2.2.