Convexifying Star-Shaped Polygons Hazel Everett, Sylvain Lazard, Steve Robbins, H

Total Page:16

File Type:pdf, Size:1020Kb

Convexifying Star-Shaped Polygons Hazel Everett, Sylvain Lazard, Steve Robbins, H Convexifying Star-Shaped Polygons Hazel Everett, Sylvain Lazard, Steve Robbins, H. Schröder, Sue Whitesides To cite this version: Hazel Everett, Sylvain Lazard, Steve Robbins, H. Schröder, Sue Whitesides. Convexifying Star- Shaped Polygons. 10th Canadian Conference on Computational Geometry (CCCG’98), 1998, Mon- treal, Canada. pp.10-12. inria-00442788 HAL Id: inria-00442788 https://hal.inria.fr/inria-00442788 Submitted on 23 Dec 2009 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. Convexifying StarShap ed Polygons H Everett S Lazard S Robbins H Schroder S Whitesides Extended Abstract Intro duction The reconguration problem for chains is to de termine whether a chain of n links can b e moved from one given conguration to another The o links have xed lengths and may rotate ab out their endp oints Previous work on the recong uration of chains eg has allowed links to pass over one another so that the links act as distance constraints but not as obstacles We study a variant of this problem which we call polygon convexication the initial congura Figure Partition into wedges for n even tion of the chain forms a simple p olygon the nal conguration is a convex p olygon and the links b are not allowed to cross It is unknown whether every p olygon can b e convexied A p olygon is starshaped if it contains a p oint a o p ossibly lying on the b oundary that can see c all the other p oints in the p olygon more pre cisely for any p oint p in the p olygon including o its b oundary the line segment o p do es not in tersect the exterior of the p olygon A p olygon Figure A radial expansion applied to a two is in general position if no three of its vertices link chain are collinear Our main result is that every star shap ed p olygon in general p osition can b e con vexied wedge angle is smaller than it is called big otherwise We present a recursive algorithm that straightens one by one the vertices of P until P The Algorithm is a convex p olygon or a p entagon We show how to convexify p entagons indep endently Let P b e a starshap ed simple p olygon whose n Supp ose for the moment that n is even and vertices are in general p osition A wedge is a n The rst step is to partition the plane into closed region delimited by two rays that share wedges by rst nding a p oint o in the kernel of their endp oint A wedge is called smal l if its P and then constructing rays from o through ev This research was conducted at the International ery second vertex of P See Figure The result Workshop on Wrapping and Folding We would like to ac is a set of wedges each of which contains a two knowledge the other participants T Biedl E Demaine link chain a p olygonal chain of vertices and M Demaine A Lubiw J ORourke M Overmars I Streinu and G Toussaint for useful discussions as well as edges whose extremities lie on the rays forming NSERC and FCAR for nancial assistance the wedge b oundary and whose intermediate ver 1 Universite du Queb ec a Montreal Montreal Canada 2 tex lies inside the wedge Now we apply a radial McGill University Montreal Canada 3 Loughb orough University UK expansion motion see Figure in which the ex c e a c a d a b d d c b o o o b Figure Reconguring a threelink chain Ver Figure Closing a big wedge Vertex c is rotated tex c is rotated counterclo ckwise around d clo ckwise ab out o other two edges lies on a wedge b oundary The transformation is accomplished by rotating one of tremities of each twolink chain move along their the two intermediate vertices around the extreme resp ective rays at equal constant sp eed away from vertex to which it is adjacent Figure shows o until some intermediate vertex straightens The an example In the case that the middle edge is straight vertex is kept straight for the remainder aligned with o we repartition the p olygon so that of the algorithm eectively reducing the num this edge lies on a wedge b oundary Thus af b er of links by one and the algorithm is called ter reconguring the threelink chain each wedge recursively contains a twolink chain and exactly one edge is We show that during a radial expansion the on a wedge b oundary Then during the radial p olygon remains starshap ed To show this we expansion this edge stays on the wedge b ound prove that at no time during a radial expansion ary and all other wedges are treated as b efore do es an intermediate vertex leave its wedge In fact this will only b e true when the wedge angle We have shown that using the motion de is less than so b efore applying the radial expan scrib ed ab ove we can recongure a starshap ed sion we rst close the big wedge if there is one p olygon that has n vertices into a convex since n there exists at most one To close p olygon in which case we stop or into a p en the big wedge see Figure we rotate around tagon The case n diers from the case n o dd o toward the interior of the wedge an endp oint and greater than b ecause when n all the of the twolink chain contained in that wedge threelink chains may b e contained in big wedges all the other vertices of P that lie on the rays In order to circumvent this diculty we cho ose emanating from o do not move The only ver the p oint o in the kernel of P to b e a vertex of tices that move are the vertex we rotate and its P Using the transformation describ ed ab ove we two adjacent intermediate vertices The motion close one big wedge until one vertex straightens stops when an intermediate vertex straightens or or b oth wedges are at Then a simple motion when the big wedge angle b ecomes smaller than can recongure the p entagon into a quadrilateral by some small We show that during this mo which is easy to convexify tion the p olygon remains starshap ed by proving For the time complexity note that since O n that the two moving intermediate vertices remain radial expansions are needed each of which takes inside their resp ective wedges O n time to compute the entire motion descrip We need to do something slightly dierent in 2 tion can b e computed in O n time the case that n is o dd and n Firstly we partition the plane into wedges as b efore but this time we have one wedge containing a References threelink chain The partition can b e done such W J Lenhart and S H Whitesides Re that the threelink chain is contained in a small conguring Closed Polygonal Chains in Eu wedge The strategy is to transform this chain clidean dspace Discrete and Computa while leaving the others unchanged so that either tional Geometry 13 the middle edge is aligned with o or one of the .
Recommended publications
  • Properties of N-Sided Regular Polygons
    PROPERTIES OF N-SIDED REGULAR POLYGONS When students are first exposed to regular polygons in middle school, they learn their properties by looking at individual examples such as the equilateral triangles(n=3), squares(n=4), and hexagons(n=6). A generalization is usually not given, although it would be straight forward to do so with just a min imum of trigonometry and algebra. It also would help students by showing how one obtains generalization in mathematics. We show here how to carry out such a generalization for regular polynomials of side length s. Our starting point is the following schematic of an n sided polygon- We see from the figure that any regular n sided polygon can be constructed by looking at n isosceles triangles whose base angles are θ=(1-2/n)(π/2) since the vertex angle of the triangle is just ψ=2π/n, when expressed in radians. The area of the grey triangle in the above figure is- 2 2 ATr=sh/2=(s/2) tan(θ)=(s/2) tan[(1-2/n)(π/2)] so that the total area of any n sided regular convex polygon will be nATr, , with s again being the side-length. With this generalized form we can construct the following table for some of the better known regular polygons- Name Number of Base Angle, Non-Dimensional 2 sides, n θ=(π/2)(1-2/n) Area, 4nATr/s =tan(θ) Triangle 3 π/6=30º 1/sqrt(3) Square 4 π/4=45º 1 Pentagon 5 3π/10=54º sqrt(15+20φ) Hexagon 6 π/3=60º sqrt(3) Octagon 8 3π/8=67.5º 1+sqrt(2) Decagon 10 2π/5=72º 10sqrt(3+4φ) Dodecagon 12 5π/12=75º 144[2+sqrt(3)] Icosagon 20 9π/20=81º 20[2φ+sqrt(3+4φ)] Here φ=[1+sqrt(5)]/2=1.618033989… is the well known Golden Ratio.
    [Show full text]
  • The First Treatments of Regular Star Polygons Seem to Date Back to The
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archivio istituzionale della ricerca - Università di Palermo FROM THE FOURTEENTH CENTURY TO CABRÌ: CONVOLUTED CONSTRUCTIONS OF STAR POLYGONS INTRODUCTION The first treatments of regular star polygons seem to date back to the fourteenth century, but a comprehensive theory on the subject was presented only in the nineteenth century by the mathematician Louis Poinsot. After showing how star polygons are closely linked to the concept of prime numbers, I introduce here some constructions, easily reproducible with geometry software that allow us to investigate and see some nice and hidden property obtained by the scholars of the fourteenth century onwards. Regular star polygons and prime numbers Divide a circumference into n equal parts through n points; if we connect all the points in succession, through chords, we get what we recognize as a regular convex polygon. If we choose to connect the points, starting from any one of them in regular steps, two by two, or three by three or, generally, h by h, we get what is called a regular star polygon. It is evident that we are able to create regular star polygons only for certain values of h. Let us divide the circumference, for example, into 15 parts and let's start by connecting the points two by two. In order to close the figure, we return to the starting point after two full turns on the circumference. The polygon that is formed is like the one in Figure 1: a polygon of “order” 15 and “species” two.
    [Show full text]
  • Simple Polygons Scribe: Michael Goldwasser
    CS268: Geometric Algorithms Handout #5 Design and Analysis Original Handout #15 Stanford University Tuesday, 25 February 1992 Original Lecture #6: 28 January 1991 Topics: Triangulating Simple Polygons Scribe: Michael Goldwasser Algorithms for triangulating polygons are important tools throughout computa- tional geometry. Many problems involving polygons are simplified by partitioning the complex polygon into triangles, and then working with the individual triangles. The applications of such algorithms are well documented in papers involving visibility, motion planning, and computer graphics. The following notes give an introduction to triangulations and many related definitions and basic lemmas. Most of the definitions are based on a simple polygon, P, containing n edges, and hence n vertices. However, many of the definitions and results can be extended to a general arrangement of n line segments. 1 Diagonals Definition 1. Given a simple polygon, P, a diagonal is a line segment between two non-adjacent vertices that lies entirely within the interior of the polygon. Lemma 2. Every simple polygon with jPj > 3 contains a diagonal. Proof: Consider some vertex v. If v has a diagonal, it’s party time. If not then the only vertices visible from v are its neighbors. Therefore v must see some single edge beyond its neighbors that entirely spans the sector of visibility, and therefore v must be a convex vertex. Now consider the two neighbors of v. Since jPj > 3, these cannot be neighbors of each other, however they must be visible from each other because of the above situation, and thus the segment connecting them is indeed a diagonal.
    [Show full text]
  • Angles of Polygons
    5.3 Angles of Polygons How can you fi nd a formula for the sum of STATES the angle measures of any polygon? STANDARDS MA.8.G.2.3 1 ACTIVITY: The Sum of the Angle Measures of a Polygon Work with a partner. Find the sum of the angle measures of each polygon with n sides. a. Sample: Quadrilateral: n = 4 A Draw a line that divides the quadrilateral into two triangles. B Because the sum of the angle F measures of each triangle is 180°, the sum of the angle measures of the quadrilateral is 360°. C D E (A + B + C ) + (D + E + F ) = 180° + 180° = 360° b. Pentagon: n = 5 c. Hexagon: n = 6 d. Heptagon: n = 7 e. Octagon: n = 8 196 Chapter 5 Angles and Similarity 2 ACTIVITY: The Sum of the Angle Measures of a Polygon Work with a partner. a. Use the table to organize your results from Activity 1. Sides, n 345678 Angle Sum, S b. Plot the points in the table in a S coordinate plane. 1080 900 c. Write a linear equation that relates S to n. 720 d. What is the domain of the function? 540 Explain your reasoning. 360 180 e. Use the function to fi nd the sum of 1 2 3 4 5 6 7 8 n the angle measures of a polygon −180 with 10 sides. −360 3 ACTIVITY: The Sum of the Angle Measures of a Polygon Work with a partner. A polygon is convex if the line segment connecting any two vertices lies entirely inside Convex the polygon.
    [Show full text]
  • Some Polygon Facts Student Understanding the Following Facts Have Been Taken from Websites of Polygons
    eachers assume that by the end of primary school, students should know the essentials Tregarding shape. For example, the NSW Mathematics K–6 syllabus states by year six students should be able manipulate, classify and draw two- dimensional shapes and describe side and angle properties. The reality is, that due to the pressure for students to achieve mastery in number, teachers often spend less time teaching about the other aspects of mathematics, especially shape (Becker, 2003; Horne, 2003). Hence, there is a need to modify the focus of mathematics education to incorporate other aspects of JILLIAN SCAHILL mathematics including shape and especially polygons. The purpose of this article is to look at the teaching provides some and learning of polygons in primary classrooms by providing some essential information about polygons teaching ideas and some useful teaching strategies and resources. to increase Some polygon facts student understanding The following facts have been taken from websites of polygons. and so are readily accessible to both teachers and students. “The word ‘polygon’ derives from the Greek word ‘poly’, meaning ‘many’ and ‘gonia’, meaning ‘angle’” (Nation Master, 2004). “A polygon is a closed plane figure with many sides. If all sides and angles of a polygon are equal measures then the polygon is called regular” 30 APMC 11 (1) 2006 Teaching polygons (Weisstein, 1999); “a polygon whose sides and angles that are not of equal measures are called irregular” (Cahir, 1999). “Polygons can be convex, concave or star” (Weisstein, 1999). A star polygon is a figure formed by connecting straight lines at every second point out of regularly spaced points lying on a circumference.
    [Show full text]
  • Convex Polytopes and Tilings with Few Flag Orbits
    Convex Polytopes and Tilings with Few Flag Orbits by Nicholas Matteo B.A. in Mathematics, Miami University M.A. in Mathematics, Miami University A dissertation submitted to The Faculty of the College of Science of Northeastern University in partial fulfillment of the requirements for the degree of Doctor of Philosophy April 14, 2015 Dissertation directed by Egon Schulte Professor of Mathematics Abstract of Dissertation The amount of symmetry possessed by a convex polytope, or a tiling by convex polytopes, is reflected by the number of orbits of its flags under the action of the Euclidean isometries preserving the polytope. The convex polytopes with only one flag orbit have been classified since the work of Schläfli in the 19th century. In this dissertation, convex polytopes with up to three flag orbits are classified. Two-orbit convex polytopes exist only in two or three dimensions, and the only ones whose combinatorial automorphism group is also two-orbit are the cuboctahedron, the icosidodecahedron, the rhombic dodecahedron, and the rhombic triacontahedron. Two-orbit face-to-face tilings by convex polytopes exist on E1, E2, and E3; the only ones which are also combinatorially two-orbit are the trihexagonal plane tiling, the rhombille plane tiling, the tetrahedral-octahedral honeycomb, and the rhombic dodecahedral honeycomb. Moreover, any combinatorially two-orbit convex polytope or tiling is isomorphic to one on the above list. Three-orbit convex polytopes exist in two through eight dimensions. There are infinitely many in three dimensions, including prisms over regular polygons, truncated Platonic solids, and their dual bipyramids and Kleetopes. There are infinitely many in four dimensions, comprising the rectified regular 4-polytopes, the p; p-duoprisms, the bitruncated 4-simplex, the bitruncated 24-cell, and their duals.
    [Show full text]
  • Approximation of Convex Figures by Pairs of Rectangles
    Approximation of Convex Figures byPairs of Rectangles y z x Otfried Schwarzkopf UlrichFuchs Gunter Rote { Emo Welzl Abstract We consider the problem of approximating a convex gure in the plane by a pair (r;R) of homothetic (that is, similar and parallel) rectangles with r C R.We show the existence of such a pair where the sides of the outer rectangle are at most twice as long as the sides of the inner rectangle, thereby solving a problem p osed byPolya and Szeg}o. If the n vertices of a convex p olygon C are given as a sorted array, such 2 an approximating pair of rectangles can b e computed in time O (log n). 1 Intro duction Let C b e a convex gure in the plane. A pair of rectangles (r;R) is called an approximating pair for C ,ifrC Rand if r and R are homothetic, that is, they are parallel and have the same asp ect ratio. Note that this is equivalentto the existence of an expansion x 7! (x x )+x (with center x and expansion 0 0 0 factor ) which maps r into R. We measure the quality (r;R) of our approximating pair (r;R) as the quotient of the length of a side of R divided by the length of the corresp onding side of r . This is just the expansion factor used in the ab ove expansion mapping. The motivation for our investigation is the use of r and R as simple certi cates for the imp ossibility or p ossibility of obstacle-avoiding motions of C .IfRcan b e moved along a path without hitting a given set of obstacles, then this is also p ossible for C .
    [Show full text]
  • 1 Mar 2014 Polyhedra, Complexes, Nets and Symmetry
    Polyhedra, Complexes, Nets and Symmetry Egon Schulte∗ Northeastern University Department of Mathematics Boston, MA 02115, USA March 4, 2014 Abstract Skeletal polyhedra and polygonal complexes in ordinary Euclidean 3-space are finite or infinite 3-periodic structures with interesting geometric, combinatorial, and algebraic properties. They can be viewed as finite or infinite 3-periodic graphs (nets) equipped with additional structure imposed by the faces, allowed to be skew, zig- zag, or helical. A polyhedron or complex is regular if its geometric symmetry group is transitive on the flags (incident vertex-edge-face triples). There are 48 regular polyhedra (18 finite polyhedra and 30 infinite apeirohedra), as well as 25 regular polygonal complexes, all infinite, which are not polyhedra. Their edge graphs are nets well-known to crystallographers, and we identify them explicitly. There also are 6 infinite families of chiral apeirohedra, which have two orbits on the flags such that adjacent flags lie in different orbits. 1 Introduction arXiv:1403.0045v1 [math.MG] 1 Mar 2014 Polyhedra and polyhedra-like structures in ordinary euclidean 3-space E3 have been stud- ied since the early days of geometry (Coxeter, 1973). However, with the passage of time, the underlying mathematical concepts and treatments have undergone fundamental changes. Over the past 100 years we can observe a shift from the classical approach viewing a polyhedron as a solid in space, to topological approaches focussing on the underlying maps on surfaces (Coxeter & Moser, 1980), to combinatorial approaches highlighting the basic incidence structure but deliberately suppressing the membranes that customarily span the faces to give a surface.
    [Show full text]
  • A Linear Time Algorithm for the Minimum Area Rectangle Enclosing a Convex Polygon
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Purdue E-Pubs Purdue University Purdue e-Pubs Department of Computer Science Technical Reports Department of Computer Science 1983 A Linear Time Algorithm for the Minimum Area Rectangle Enclosing a Convex Polygon Dennis S. Arnon John P. Gieselmann Report Number: 83-463 Arnon, Dennis S. and Gieselmann, John P., "A Linear Time Algorithm for the Minimum Area Rectangle Enclosing a Convex Polygon" (1983). Department of Computer Science Technical Reports. Paper 382. https://docs.lib.purdue.edu/cstech/382 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. 1 A LINEAR TIME ALGORITHM FOR THE MINIMUM AREA RECfANGLE ENCLOSING A CONVEX POLYGON by Dennis S. Amon Computer Science Department Purdue University West Lafayette, Indiana 479Cf7 John P. Gieselmann Computer Science Department Purdue University West Lafayette, Indiana 47907 Technical Report #463 Computer Science Department - Purdue University December 7, 1983 ABSTRACT We give an 0 (n) algorithm for constructing the rectangle of minimum area enclosing an n-vcrtex convex polygon. Keywords: computational geometry, geomelric approximation, minimum area rectangle, enclosing rectangle, convex polygons, space planning. 2 1. introduction. The problem of finding a rectangle of minimal area that encloses a given polygon arises, for example, in algorithms for the cutting stock problem and the template layout problem (see e.g [4} and rID. In a previous paper, Freeman and Shapira [2] show that the minimum area enclosing rectangle ~or an arbitrary (simple) polygon P is the minimum area enclosing rectangle Rp of its convex hull.
    [Show full text]
  • Finding the Maximum Area Parallelogram in a Convex Polygon
    CCCG 2011, Toronto ON, August 10–12, 2011 Finding the Maximum Area Parallelogram in a Convex Polygon Kai Jin⇤ Kevin Matulef⇤ Abstract simplest polygons that are “centrally-symmetric” (i.e. for which there exists a “center” such that every point We consider the problem of finding the maximum area on the figure, when reflected about the center, pro- parallelogram (MAP) inside a given convex polygon. duces another point on the figure). It is natural to Our main result is an algorithm for computing the MAP ask whether we can, in general, compute the Maximum in an n-sided polygon in O(n2) time. Achieving this Area Centrally-symmetric convex body (MAC) inside running time requires proving several new structural a given convex polygon or convex curve. Although it properties of the MAP, and combining them with a ro- seems difficult to compute the area of the MAC exactly, tating technique of Toussaint [10]. it is known that the MAP serves as an approximation:1 We also discuss applications of our result to the problem of computing the maximum area centrally- Theorem 2 [5, 8] For a convex curve Q,theareaof symmetric convex body (MAC) inside a given convex the MAP inside it is always at least 2 0.6366 times ⇡ ⇡ polygon, and to a “fault tolerant area maximization” the area of Q, Moreover, this bound is tight; the worst problem which we define. case is realized when the given convex curve is an ellipse. Theorem 2 follows from two results.2 The first result 1 Introduction of Dowker [5] says that for any centrally-symmetric con- vex body K in the plane, and any even n 4, among A common problem in computational geometry is that ≥ of finding the largest figure of one type contained in a the inscribed (or contained) convex n-gons of maximal given figure of another type.
    [Show full text]
  • Pick's Theorem +
    1 | P a g e Pick’s Theorem Math 445 Spring 2013 Final Project Byron Conover, Claire Marlow, Jameson Neff, Annie Spung Pick’s Theorem provides a simple formula for the area of any lattice polygon. A lattice polygon is a simple polygon embedded on a grid, or lattice, whose vertices haveP integer coordinates, otherwise known as grid or lattice points. Given a lattice bpolygon , bthe formula involves simply adding the number of lattice points on the iboundary, , dividing byi 2, and adding the number of lattice points in the interior of the polygon, , and subtracting 1 from . Then the area of P is + − 1. The theorem was first stated by Georg Alexander Pick, an Austrian mathematician, in 1899. However, it was not popularized until Polish mathematician Hugo Steinhaus published it in 1969, citing Pick. Georg Pick was born in Vienna in 1859 and attended the University of Vienna when he was just 16, publishing his first mathematical paper at only 17 (The History Behind Pick's Theorem). He later traveled to Prague where he became the Dean of Philosophy at the University of Prague. Pick was actually the driving force to the appointment of an up-and-coming mathematician, Albert Einstein, to a chair of mathematical physics at the university in 1911 (O'Connor). Pick himself ultimately published almost 70 papers covering a wide range of topics in math such as linear algebra, integral calculus, and, of course, geometry. His name still frequently comes up in studies of complex differential equations and differential geometry with terms like ‘Pick matrices,’ ‘Pick-Nevanlinna interpolation,’ and the ‘Schwarz-Pick lemma.’Geometrisches He is, however, zur Zahlenlehre” most remembered for Pick’s Theorem, which he publishedSitzungber.
    [Show full text]
  • Chapter 4 Euclidean Geometry
    Chapter 4 Euclidean Geometry Based on previous 15 axioms, The parallel postulate for Euclidean geometry is added in this chapter. 4.1 Euclidean Parallelism, Existence of Rectangles De¯nition 4.1 Two distinct lines ` and m are said to be parallel ( and we write `km) i® they lie in the same plane and do not meet. Terminologies: 1. Transversal: a line intersecting two other lines. 2. Alternate interior angles 3. Corresponding angles 4. Interior angles on the same side of transversal 56 Yi Wang Chapter 4. Euclidean Geometry 57 Theorem 4.2 (Parallelism in absolute geometry) If two lines in the same plane are cut by a transversal to that a pair of alternate interior angles are congruent, the lines are parallel. Remark: Although this theorem involves parallel lines, it does not use the parallel postulate and is valid in absolute geometry. Proof: Assume to the contrary that the two lines meet, then use Exterior Angle Inequality to draw a contradiction. 2 The converse of above theorem is the Euclidean Parallel Postulate. Euclid's Fifth Postulate of Parallels If two lines in the same plane are cut by a transversal so that the sum of the measures of a pair of interior angles on the same side of the transversal is less than 180, the lines will meet on that side of the transversal. In e®ect, this says If m\1 + m\2 6= 180; then ` is not parallel to m Yi Wang Chapter 4. Euclidean Geometry 58 It's contrapositive is If `km; then m\1 + m\2 = 180( or m\2 = m\3): Three possible notions of parallelism Consider in a single ¯xed plane a line ` and a point P not on it.
    [Show full text]