GSAC TALK: THE WORD PROBLEM. 1. The 8-8 Tessellation. Consider the following infinite tessellation of the open unit disc. Actually, we want to think

Size: px
Start display at page:

Download "GSAC TALK: THE WORD PROBLEM. 1. The 8-8 Tessellation. Consider the following infinite tessellation of the open unit disc. Actually, we want to think"

Transcription

1 GSAC TALK: THE WORD PROBLEM 1. The 8-8 Tessellation Consider the following infinite tessellation of the open unit disc. Actually, we want to think of the disc as a model for R 2 and we can do that using the homeomorphism:f(rcis(θ)) = arctan( π r)cis(θ). You might object by saying that the tiles aren t polygonal, because the lines 2 aren t straight but we ll overlook this at this point. After recovering from the initial shock, you might come to realize that this is actually a pretty wonderful tiling. It is symmetric with respect to rotation by 45, actually there s a lot more symmetry involved: the picture is symmetric with respect to inversion by any of the half circles meeting the boundary. More importantly, it is also regular: all shapes are octagons, and the valence of each vertex is 8. In many ways this resembles the tessellation of R 2 by squares, which we are all comfortable with. However, this 8-8 tessellation has a curious property: Take any edge loop L, and mark the (bounded) region it bounds by M, then there s a tile of M which is sticking out, i.e. there s a tile D of M, which shares more than 1 D = 4 consecutive edges with L. Actually, 2 for each disc we can find many tiles which share 6 out of 8 boundary edges with the loop L. Try it out!! Does this also hold for the square tiling? Date: March

2 This fact has a neat proof. You argue that any such disc region M contains a vertex of valence 1 or at least 2 vertices of valence 2. Notice that these vertices must be lie the boundary of M, because if v is internal, its valence is 8. Now you apply this fact not to M but to its dual (the green diagram), which is also a disc with an 8-8 tiling. If the dual contains a valence 1 vertex then M contains a tile with 7 edges on L. If the dual contains a valence two vertex then M contains a tile sharing 6 edges with the boundary, but we must be careful since they might not be consecutive, and so the tile D might not be sticking out. But this has an easy fix: Such a tile corresponds to a separating vertex. The dual has an extremal disc - one that has only one separating vertex (otherwise, it would be an annulus). The extremal disc has at least two valence 2 vertices, the one that is non-separating corresponds to a tile which is sticking out. So it is enough to prove: Lemma 1.1. Any disc M with an 8-8 tiling has a valence 1 vertex or at least two valence 2 vertices. Proof : The main topological ingredient is that the Euler characteristic of a disc χ(m) is 1. Explicitly: Let ɛ = the set of edges in M, V be the set of vertices in M, and Λ the set of 2

3 tiles in M. Denote: V = V, E = ɛ, and F = Λ. Then 1 = V E + F We can assume F 1 and that the disc is non-degenerate, so that every edge lies in one of the tiles. (Why can we assume this?) Now count the number of pairs (e, D) such that e ɛ, D Λ and e is an edge of the tile D: on the one hand every tile has 8 edges so it appears in 8 pairs hence the number of pairs is 8F. On the other hand, each interior edge is counted twice, and each boundary edge once, so the number of pairs is: 2E E. Hence: 2E E = 8F Now count the number of pairs (v, e) such that e ɛ, v V and v is a vertex in the edge e: on the one hand every edge is counted twice so this number is 2E. On the other hand, each vertex is counted d(v) times (where d(v) is the valence of v) so the number of pairs is: d(v). Hence: 2E = d(v) Also notice that E = V 3

4 . Now we just have to combine the above formulas: 4 = 4V 4E+4F = 4V 2E 2E+4F = 4V (d(v)) E 8F +4F = (4 d(v)) E 4F (4 d(v)) V = (4 d(v)) V + (4 d(v)) = (3 d(v))+ (4 8) int int (3 d(v)). So either there s a vertex with valence 1 or at least four vertices of valence Presentations and the word problem Let F 2 =< a, b > denote the set of words in a, ā, b, b where we allow deletion (or insertion) of aā, āa, b b, bb: for instance abāa bā is equivalent to the empty word. This set is a group with the operation of concatenation, and the empty word as the identity. A word in < a, b > is reduced if is has no instances of aā, āa, b b, bb as subwords. It is called the free group on 2 letters. Analogously, one can define the free group on n letters, F n. G =< a, b, c ab = c 2 > then G is the set of words in a, b, c and their inverses where we allow deletion or insertion of ab c 2 or c 2 bā into a word. For instance: aca b = c 2 bca b. This sort of description of a group: < generators relations > is called a presentation. If the set of generators and relations is finite we say that this is a finite presentation. As you might suspect from this example, it might be quite tricky to tell whether two elements of a group presented in this way are in fact one and the same. Indeed, it was shown 4

5 by Novikov (1955) and (independently) by Boone (1959) that there are groups with a finite presentation where there is no algorithm to decide if a given word is trivial (empty) or not. In general we formulate the word problem: Given a presentation of the group G =< x 1,..., x n r 1 = 1, r 2 = 1,..., r m = 1 > is there an algorithm to decide if a given word w in the generators and their inverses is the identity? For example, in Z 2 =< a, b ab = ba >=< a, b abā b = 1 >=< a, b [a, b] = 1 > there is an easy algorithm. 3. Dehn s Algorithm Consider the following presentation: < a, b, c, d aba 1 b 1 = cdc 1 d 1 >. The relator r is aba 1 b 1 dcd 1 c 1, with length 8. We will show that if a word w is equivalent to the identity, then it contains a subword of r with 6 or more letters (the subword may start at the end of the relator and continue at the beginning of it, for example d 1 c 1 aba 1 b 1 ). Thus, here s an algorithm: given a word we scan it for a piece of the relator of length 6, if we find one, we replace it with its complement in the relator, thus decreasing the length of the word. If we can t find such a piece and we end up with something other than the empty word - our word was not equivalent to the identity. 5

6 4. Surface groups Our relator has length 8. Label the edges of the octagon with a, b, c, d according to the relation. If we identify edges with identical labels we get a surface - the genus two torus. Therefore, any word in a, b, c, d represents a loop on this surface. Notice that the word aba 1 b 1 dcd 1 c 1 bounds a disc. Fact 4.1. A word in a, b, c, d is the identity in G if and only if the corresponding path bounds a disc in the surface. We say that G is the fundamental group of the surface. The surface is covered by R 2. This means that we have an action of G on R 2 whose quotient is S. The fundamental domain of this action is an octagon. If we take this octagon and move it around by the action, we get the tessellation we analyzed at the beginning of this lecture. After choosing a vertex to be our base point we can label the edges with a, b, c, d and their inverses. The label of each tile reads r the relation. Each vertex v is labelled by a word corresponding to a path from the base point to v. The graph with these labels is called the Cayley graph of G. Fact 4.2. An edge loop in the surface lifts to an edge path in R 2. An edge loop bounds a disc on S if and only if it lifts to a loop in R 2. 6

7 Now, if a word w is trivial, then it is represented by an edge loop in our tessellation. So it has a tile D which is sticking out. So when we read the label of w, those edges shared with D will read a piece of the relation of length 6. 7

6.3 Poincare's Theorem

6.3 Poincare's Theorem Figure 6.5: The second cut. for some g 0. 6.3 Poincare's Theorem Theorem 6.3.1 (Poincare). Let D be a polygon diagram drawn in the hyperbolic plane such that the lengths of its edges and the interior angles

More information

Assignment 8; Due Friday, March 10

Assignment 8; Due Friday, March 10 Assignment 8; Due Friday, March 10 The previous two exercise sets covered lots of material. We ll end the course with two short assignments. This one asks you to visualize an important family of three

More information

Planar Graphs. 1 Graphs and maps. 1.1 Planarity and duality

Planar Graphs. 1 Graphs and maps. 1.1 Planarity and duality Planar Graphs In the first half of this book, we consider mostly planar graphs and their geometric representations, mostly in the plane. We start with a survey of basic results on planar graphs. This chapter

More information

or else take their intersection. Now define

or else take their intersection. Now define Samuel Lee Algebraic Topology Homework #5 May 10, 2016 Problem 1: ( 1.3: #3). Let p : X X be a covering space with p 1 (x) finite and nonempty for all x X. Show that X is compact Hausdorff if and only

More information

1 Introduction and Review

1 Introduction and Review Figure 1: The torus. 1 Introduction and Review 1.1 Group Actions, Orbit Spaces and What Lies in Between Our story begins with the torus, which we will think of initially as the identification space pictured

More information

6.2 Classification of Closed Surfaces

6.2 Classification of Closed Surfaces Table 6.1: A polygon diagram 6.1.2 Second Proof: Compactifying Teichmuller Space 6.2 Classification of Closed Surfaces We saw that each surface has a triangulation. Compact surfaces have finite triangulations.

More information

Math 6, Unit 8 Notes: Geometric Relationships

Math 6, Unit 8 Notes: Geometric Relationships Math 6, Unit 8 Notes: Geometric Relationships Points, Lines and Planes; Line Segments and Rays As we begin any new topic, we have to familiarize ourselves with the language and notation to be successful.

More information

Geometric structures on manifolds

Geometric structures on manifolds CHAPTER 3 Geometric structures on manifolds In this chapter, we give our first examples of hyperbolic manifolds, combining ideas from the previous two chapters. 3.1. Geometric structures 3.1.1. Introductory

More information

A simple problem that has a solution that is far deeper than expected!

A simple problem that has a solution that is far deeper than expected! The Water, Gas, Electricity Problem A simple problem that has a solution that is far deeper than expected! Consider the diagram below of three houses and three utilities: water, gas, and electricity. Each

More information

CS195H Homework 5. Due:March 12th, 2015

CS195H Homework 5. Due:March 12th, 2015 CS195H Homework 5 Due:March 12th, 2015 As usual, please work in pairs. Math Stuff For us, a surface is a finite collection of triangles (or other polygons, but let s stick with triangles for now) with

More information

7. The Gauss-Bonnet theorem

7. The Gauss-Bonnet theorem 7. The Gauss-Bonnet theorem 7.1 Hyperbolic polygons In Euclidean geometry, an n-sided polygon is a subset of the Euclidean plane bounded by n straight lines. Thus the edges of a Euclidean polygon are formed

More information

FACES OF CONVEX SETS

FACES OF CONVEX SETS FACES OF CONVEX SETS VERA ROSHCHINA Abstract. We remind the basic definitions of faces of convex sets and their basic properties. For more details see the classic references [1, 2] and [4] for polytopes.

More information

COMBINATORIAL METHODS IN ALGEBRAIC TOPOLOGY

COMBINATORIAL METHODS IN ALGEBRAIC TOPOLOGY COMBINATORIAL METHODS IN ALGEBRAIC TOPOLOGY 1. Geometric and abstract simplicial complexes Let v 0, v 1,..., v k be points in R n. These points determine a hyperplane in R n, consisting of linear combinations

More information

Topology Hmwk 3 All problems are from Allen Hatcher Algebraic Topology (online) ch 1

Topology Hmwk 3 All problems are from Allen Hatcher Algebraic Topology (online) ch 1 Topology Hmwk 3 All problems are from Allen Hatcher Algebraic Topology (online) ch Andrew Ma December 23, 203 This assignment has been corrected post - grading...6 (a) Proof. Assume for a contradiction

More information

arxiv: v2 [math.ag] 8 Mar 2017

arxiv: v2 [math.ag] 8 Mar 2017 arxiv:1412.5313v2 [math.g] 8 Mar 2017 M-curves of degree 9 or 11 with one unique non-empty oval Séverine Fiedler-Le Touzé June 27, 2018 bstract In this note, we consider M-curves of odd degree m with real

More information

Topology 550A Homework 3, Week 3 (Corrections: February 22, 2012)

Topology 550A Homework 3, Week 3 (Corrections: February 22, 2012) Topology 550A Homework 3, Week 3 (Corrections: February 22, 2012) Michael Tagare De Guzman January 31, 2012 4A. The Sorgenfrey Line The following material concerns the Sorgenfrey line, E, introduced in

More information

INTRODUCTION TO THE HOMOLOGY GROUPS OF COMPLEXES

INTRODUCTION TO THE HOMOLOGY GROUPS OF COMPLEXES INTRODUCTION TO THE HOMOLOGY GROUPS OF COMPLEXES RACHEL CARANDANG Abstract. This paper provides an overview of the homology groups of a 2- dimensional complex. It then demonstrates a proof of the Invariance

More information

INTRODUCTION TO 3-MANIFOLDS

INTRODUCTION TO 3-MANIFOLDS INTRODUCTION TO 3-MANIFOLDS NIK AKSAMIT As we know, a topological n-manifold X is a Hausdorff space such that every point contained in it has a neighborhood (is contained in an open set) homeomorphic to

More information

Basics of Computational Geometry

Basics of Computational Geometry Basics of Computational Geometry Nadeem Mohsin October 12, 2013 1 Contents This handout covers the basic concepts of computational geometry. Rather than exhaustively covering all the algorithms, it deals

More information

MATERIAL FOR A MASTERCLASS ON HYPERBOLIC GEOMETRY. Timeline. 10 minutes Exercise session: Introducing curved spaces

MATERIAL FOR A MASTERCLASS ON HYPERBOLIC GEOMETRY. Timeline. 10 minutes Exercise session: Introducing curved spaces MATERIAL FOR A MASTERCLASS ON HYPERBOLIC GEOMETRY Timeline 10 minutes Introduction and History 10 minutes Exercise session: Introducing curved spaces 5 minutes Talk: spherical lines and polygons 15 minutes

More information

M3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements.

M3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements. M3P1/M4P1 (2005) Dr M Ruzhansky Metric and Topological Spaces Summary of the course: definitions, examples, statements. Chapter 1: Metric spaces and convergence. (1.1) Recall the standard distance function

More information

The Geodesic Integral on Medial Graphs

The Geodesic Integral on Medial Graphs The Geodesic Integral on Medial Graphs Kolya Malkin August 013 We define the geodesic integral defined on paths in the duals of medial graphs on surfaces and use it to study lens elimination and connection

More information

Pacific Journal of Mathematics

Pacific Journal of Mathematics Pacific Journal of Mathematics SIMPLIFYING TRIANGULATIONS OF S 3 Aleksandar Mijatović Volume 208 No. 2 February 2003 PACIFIC JOURNAL OF MATHEMATICS Vol. 208, No. 2, 2003 SIMPLIFYING TRIANGULATIONS OF S

More information

The geometry and combinatorics of closed geodesics on hyperbolic surfaces

The geometry and combinatorics of closed geodesics on hyperbolic surfaces The geometry and combinatorics of closed geodesics on hyperbolic surfaces CUNY Graduate Center September 8th, 2015 Motivating Question: How are the algebraic/combinatoric properties of closed geodesics

More information

Euler Characteristic

Euler Characteristic Euler Characteristic Rebecca Robinson May 15, 2007 Euler Characteristic Rebecca Robinson 1 PLANAR GRAPHS 1 Planar graphs v = 5, e = 4, f = 1 v e + f = 2 v = 6, e = 7, f = 3 v = 4, e = 6, f = 4 v e + f

More information

Lecture 4: examples of topological spaces, coarser and finer topologies, bases and closed sets

Lecture 4: examples of topological spaces, coarser and finer topologies, bases and closed sets Lecture 4: examples of topological spaces, coarser and finer topologies, bases and closed sets Saul Glasman 14 September 2016 Let s give the definition of an open subset of R. Definition 1. Let U R. We

More information

Boardworks Ltd KS3 Mathematics. S1 Lines and Angles

Boardworks Ltd KS3 Mathematics. S1 Lines and Angles 1 KS3 Mathematics S1 Lines and Angles 2 Contents S1 Lines and angles S1.1 Labelling lines and angles S1.2 Parallel and perpendicular lines S1.3 Calculating angles S1.4 Angles in polygons 3 Lines In Mathematics,

More information

Heegaard splittings and virtual fibers

Heegaard splittings and virtual fibers Heegaard splittings and virtual fibers Joseph Maher maher@math.okstate.edu Oklahoma State University May 2008 Theorem: Let M be a closed hyperbolic 3-manifold, with a sequence of finite covers of bounded

More information

Math 205B - Topology. Dr. Baez. March 2, Christopher Walker

Math 205B - Topology. Dr. Baez. March 2, Christopher Walker Math 205B - Topology Dr. Baez March 2, 2007 Christopher Walker Exercise 0.1. Show that the fundamental group of the 3-bouquet of circles is Z Z Z. Generalize this result to the n-bouquet of circles, and

More information

SMALL INTERSECTION NUMBERS IN THE CURVE GRAPH

SMALL INTERSECTION NUMBERS IN THE CURVE GRAPH SMALL INTERSECTION NUMBERS IN THE CURVE GRAPH TARIK AOUGAB AND SAMUEL J. TAYLOR arxiv:1310.4711v2 [math.gt] 18 Oct 2013 Abstract. Let S g,p denote the genus g orientable surface with p 0 punctures, and

More information

Geometric structures on manifolds

Geometric structures on manifolds CHAPTER 3 Geometric structures on manifolds In this chapter, we give our first examples of hyperbolic manifolds, combining ideas from the previous two chapters. 3.1. Geometric structures 3.1.1. Introductory

More information

Technische Universität München Zentrum Mathematik

Technische Universität München Zentrum Mathematik Technische Universität München Zentrum Mathematik Prof. Dr. Dr. Jürgen Richter-Gebert, Bernhard Werner Projective Geometry SS 208 https://www-m0.ma.tum.de/bin/view/lehre/ss8/pgss8/webhome Solutions for

More information

Technische Universität München Zentrum Mathematik

Technische Universität München Zentrum Mathematik Question 1. Incidence matrix with gaps Technische Universität München Zentrum Mathematik Prof. Dr. Dr. Jürgen Richter-Gebert, Bernhard Werner Projective Geometry SS 2016 www-m10.ma.tum.de/projektivegeometriess16

More information

CS 177 Homework 1. Julian Panetta. October 22, We want to show for any polygonal disk consisting of vertex set V, edge set E, and face set F:

CS 177 Homework 1. Julian Panetta. October 22, We want to show for any polygonal disk consisting of vertex set V, edge set E, and face set F: CS 177 Homework 1 Julian Panetta October, 009 1 Euler Characteristic 1.1 Polyhedral Formula We want to show for any polygonal disk consisting of vertex set V, edge set E, and face set F: V E + F = 1 First,

More information

LAMC Advanced Circle October 9, Oleg Gleizer. Warm-up

LAMC Advanced Circle October 9, Oleg Gleizer. Warm-up LAMC Advanced Circle October 9, 2016 Oleg Gleizer prof1140g@math.ucla.edu Warm-up Problem 1 Prove that a straight line tangent to a circle is perpendicular to the radius connecting the tangency point to

More information

Unit 1, Lesson 1: Moving in the Plane

Unit 1, Lesson 1: Moving in the Plane Unit 1, Lesson 1: Moving in the Plane Let s describe ways figures can move in the plane. 1.1: Which One Doesn t Belong: Diagrams Which one doesn t belong? 1.2: Triangle Square Dance m.openup.org/1/8-1-1-2

More information

6.854J / J Advanced Algorithms Fall 2008

6.854J / J Advanced Algorithms Fall 2008 MIT OpenCourseWare http://ocw.mit.edu 6.854J / 18.415J Advanced Algorithms Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 18.415/6.854 Advanced

More information

Ma/CS 6b Class 26: Art Galleries and Politicians

Ma/CS 6b Class 26: Art Galleries and Politicians Ma/CS 6b Class 26: Art Galleries and Politicians By Adam Sheffer The Art Gallery Problem Problem. We wish to place security cameras at a gallery, such that they cover it completely. Every camera can cover

More information

Flat Surfaces, Teichmueller Discs, Veech Groups, and the Veech Tessellation

Flat Surfaces, Teichmueller Discs, Veech Groups, and the Veech Tessellation Flat Surfaces, Teichmueller Discs, Veech Groups, and the Veech Tessellation S. Allen Broughton - Rose-Hulman Institute of Technology Chris Judge - Indiana University AMS Regional Meeting at Pennsylvania

More information

Generell Topologi. Richard Williamson. May 27, 2013

Generell Topologi. Richard Williamson. May 27, 2013 Generell Topologi Richard Williamson May 27, 2013 1 1 Tuesday 15th January 1.1 Topological spaces definition, terminology, finite examples Definition 1.1. A topological space is a pair (X, O) of a set

More information

Math 734 Aug 22, Differential Geometry Fall 2002, USC

Math 734 Aug 22, Differential Geometry Fall 2002, USC Math 734 Aug 22, 2002 1 Differential Geometry Fall 2002, USC Lecture Notes 1 1 Topological Manifolds The basic objects of study in this class are manifolds. Roughly speaking, these are objects which locally

More information

Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 24 Solid Modelling

Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 24 Solid Modelling Computer Graphics Prof. Sukhendu Das Dept. of Computer Science and Engineering Indian Institute of Technology, Madras Lecture - 24 Solid Modelling Welcome to the lectures on computer graphics. We have

More information

pα i + q, where (n, m, p and q depend on i). 6. GROMOV S INVARIANT AND THE VOLUME OF A HYPERBOLIC MANIFOLD

pα i + q, where (n, m, p and q depend on i). 6. GROMOV S INVARIANT AND THE VOLUME OF A HYPERBOLIC MANIFOLD 6. GROMOV S INVARIANT AND THE VOLUME OF A HYPERBOLIC MANIFOLD of π 1 (M 2 )onπ 1 (M 4 ) by conjugation. π 1 (M 4 ) has a trivial center, so in other words the action of π 1 (M 4 ) on itself is effective.

More information

CLASSIFICATION OF SURFACES

CLASSIFICATION OF SURFACES CLASSIFICATION OF SURFACES JUSTIN HUANG Abstract. We will classify compact, connected surfaces into three classes: the sphere, the connected sum of tori, and the connected sum of projective planes. Contents

More information

FULLERENE PATCHES II

FULLERENE PATCHES II FULLERENE PATCHES II JACK E. GRAVER, CHRISTINA GRAVES, AND STEPHEN J. GRAVES ABSTRACT. In this paper, we show that fullerene patches with nice boundaries containing between 1 and 5 pentagons fall into

More information

6th Bay Area Mathematical Olympiad

6th Bay Area Mathematical Olympiad 6th Bay Area Mathematical Olympiad February 4, 004 Problems and Solutions 1 A tiling of the plane with polygons consists of placing the polygons in the plane so that interiors of polygons do not overlap,

More information

Math 210 Manifold III, Spring 2018 Euler Characteristics of Surfaces Hirotaka Tamanoi

Math 210 Manifold III, Spring 2018 Euler Characteristics of Surfaces Hirotaka Tamanoi Math 210 Manifold III, Spring 2018 Euler Characteristics of Surfaces Hirotaka Tamanoi 1. Euler Characteristic of Surfaces Leonhard Euler noticed that the number v of vertices, the number e of edges and

More information

CLASSIFICATION OF SURFACES

CLASSIFICATION OF SURFACES CLASSIFICATION OF SURFACES YUJIE ZHANG Abstract. The sphere, Möbius strip, torus, real projective plane and Klein bottle are all important examples of surfaces (topological 2-manifolds). In fact, via the

More information

Simplicial Hyperbolic Surfaces

Simplicial Hyperbolic Surfaces Simplicial Hyperbolic Surfaces Talk by Ken Bromberg August 21, 2007 1-Lipschitz Surfaces- In this lecture we will discuss geometrically meaningful ways of mapping a surface S into a hyperbolic manifold

More information

1. CONVEX POLYGONS. Definition. A shape D in the plane is convex if every line drawn between two points in D is entirely inside D.

1. CONVEX POLYGONS. Definition. A shape D in the plane is convex if every line drawn between two points in D is entirely inside D. 1. CONVEX POLYGONS Definition. A shape D in the plane is convex if every line drawn between two points in D is entirely inside D. Convex 6 gon Another convex 6 gon Not convex Question. Why is the third

More information

Coxeter Decompositions of Hyperbolic Polygons

Coxeter Decompositions of Hyperbolic Polygons Europ. J. Combinatorics (1998) 19, 801 817 Article No. ej980238 Coxeter Decompositions of Hyperbolic Polygons A. A. FELIKSON Let P be a polygon on hyperbolic plane H 2. A Coxeter decomposition of a polygon

More information

TILING RECTANGLES SIMON RUBINSTEIN-SALZEDO

TILING RECTANGLES SIMON RUBINSTEIN-SALZEDO TILING RECTANGLES SIMON RUBINSTEIN-SALZEDO. A classic tiling problem Question.. Suppose we tile a (large) rectangle with small rectangles, so that each small rectangle has at least one pair of sides with

More information

The Order Upper Bound on Parity Embedding of a Graph

The Order Upper Bound on Parity Embedding of a Graph journal of combinatorial theory, Series B 68, 149160 (1996) article no. 0060 The Order Upper Bound on Parity Embedding of a Graph Thomas Zaslavsky* Binghamton University, Binghamton, New York 13902-6000

More information

Turn Graphs and Extremal Surfaces in Free Groups

Turn Graphs and Extremal Surfaces in Free Groups Turn Graphs and Extremal Surfaces in Free Groups Noel Brady, Matt Clay, and Max Forester Abstract. This note provides an alternate account of Calegari s rationality theorem for stable commutator length

More information

Geometric Constructions

Geometric Constructions HISTORY OF MATHEMATICS Spring 2005 Geometric Constructions Notes, activities, assignment; #3 in a series. Note: I m not giving a specific due date for this somewhat vague assignment. The idea is that it

More information

A GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY

A GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY A GRAPH FROM THE VIEWPOINT OF ALGEBRAIC TOPOLOGY KARL L. STRATOS Abstract. The conventional method of describing a graph as a pair (V, E), where V and E repectively denote the sets of vertices and edges,

More information

The Cut Locus and the Jordan Curve Theorem

The Cut Locus and the Jordan Curve Theorem The Cut Locus and the Jordan Curve Theorem Rich Schwartz November 19, 2015 1 Introduction A Jordan curve is a subset of R 2 which is homeomorphic to the circle, S 1. The famous Jordan Curve Theorem says

More information

Punctured Torus Groups

Punctured Torus Groups Punctured Torus Groups Talk by Yair Minsky August, 7 One of the simplest classes of examples of Kleinian surface groups is given by punctured torus groups. We define a punctured torus group to be a discrete

More information

Knots and surfaces in 3-dimensional space

Knots and surfaces in 3-dimensional space March 13, 2012 Knots Definition A knot is a smooth embedding of the circle into 3-dimensional space. Knots Figure: A knot Knots Fact I: The mathematical study of knots includes several different branches,

More information

Lecture 2 September 3

Lecture 2 September 3 EE 381V: Large Scale Optimization Fall 2012 Lecture 2 September 3 Lecturer: Caramanis & Sanghavi Scribe: Hongbo Si, Qiaoyang Ye 2.1 Overview of the last Lecture The focus of the last lecture was to give

More information

CS 532: 3D Computer Vision 14 th Set of Notes

CS 532: 3D Computer Vision 14 th Set of Notes 1 CS 532: 3D Computer Vision 14 th Set of Notes Instructor: Philippos Mordohai Webpage: www.cs.stevens.edu/~mordohai E-mail: Philippos.Mordohai@stevens.edu Office: Lieb 215 Lecture Outline Triangulating

More information

274 Curves on Surfaces, Lecture 5

274 Curves on Surfaces, Lecture 5 274 Curves on Surfaces, Lecture 5 Dylan Thurston Notes by Qiaochu Yuan Fall 2012 5 Ideal polygons Previously we discussed three models of the hyperbolic plane: the Poincaré disk, the upper half-plane,

More information

Motion Planning. O Rourke, Chapter 8

Motion Planning. O Rourke, Chapter 8 O Rourke, Chapter 8 Outline Translating a polygon Moving a ladder Shortest Path (Point-to-Point) Goal: Given disjoint polygons in the plane, and given positions s and t, find the shortest path from s to

More information

! B be a covering, where B is a connected graph. Then E is also a

! B be a covering, where B is a connected graph. Then E is also a 26. Mon, Mar. 24 The next application is the computation of the fundamental group of any graph. We start by specifying what we mean by a graph. Recall that S 0 R is usually defined to be the set S 0 =

More information

K 4,4 e Has No Finite Planar Cover

K 4,4 e Has No Finite Planar Cover K 4,4 e Has No Finite Planar Cover Petr Hliněný Dept. of Applied Mathematics, Charles University, Malostr. nám. 25, 118 00 Praha 1, Czech republic (E-mail: hlineny@kam.ms.mff.cuni.cz) February 9, 2005

More information

A Little Point Set Topology

A Little Point Set Topology A Little Point Set Topology A topological space is a generalization of a metric space that allows one to talk about limits, convergence, continuity and so on without requiring the concept of a distance

More information

Three applications of Euler s formula. Chapter 10

Three applications of Euler s formula. Chapter 10 Three applications of Euler s formula Chapter 10 A graph is planar if it can be drawn in the plane R without crossing edges (or, equivalently, on the -dimensional sphere S ). We talk of a plane graph if

More information

Basic Combinatorics. Math 40210, Section 01 Fall Homework 4 Solutions

Basic Combinatorics. Math 40210, Section 01 Fall Homework 4 Solutions Basic Combinatorics Math 40210, Section 01 Fall 2012 Homework 4 Solutions 1.4.2 2: One possible implementation: Start with abcgfjiea From edge cd build, using previously unmarked edges: cdhlponminjkghc

More information

Lecture IV - Further preliminaries from general topology:

Lecture IV - Further preliminaries from general topology: Lecture IV - Further preliminaries from general topology: We now begin with some preliminaries from general topology that is usually not covered or else is often perfunctorily treated in elementary courses

More information

CONNECTED SPACES AND HOW TO USE THEM

CONNECTED SPACES AND HOW TO USE THEM CONNECTED SPACES AND HOW TO USE THEM 1. How to prove X is connected Checking that a space X is NOT connected is typically easy: you just have to find two disjoint, non-empty subsets A and B in X, such

More information

Lecture-12: Closed Sets

Lecture-12: Closed Sets and Its Examples Properties of Lecture-12: Dr. Department of Mathematics Lovely Professional University Punjab, India October 18, 2014 Outline Introduction and Its Examples Properties of 1 Introduction

More information

Computational Geometry: Lecture 5

Computational Geometry: Lecture 5 Computational Geometry: Lecture 5 Don Sheehy January 29, 2010 1 Degeneracy In many of the algorithms that we have discussed so far, we have run into problems when that input is somehow troublesome. For

More information

7) Are HD and HA the same line?

7) Are HD and HA the same line? Review for Exam 2 Math 123 SHORT ANSWER. You must show all work to receive full credit. Refer to the figure to classify the statement as true or false. 7) Are HD and HA the same line? Yes 8) What is the

More information

Chapter 3. Set Theory. 3.1 What is a Set?

Chapter 3. Set Theory. 3.1 What is a Set? Chapter 3 Set Theory 3.1 What is a Set? A set is a well-defined collection of objects called elements or members of the set. Here, well-defined means accurately and unambiguously stated or described. Any

More information

Math 443/543 Graph Theory Notes 5: Planar graphs and coloring

Math 443/543 Graph Theory Notes 5: Planar graphs and coloring Math 443/543 Graph Theory Notes 5: Planar graphs and coloring David Glickenstein October 10, 2014 1 Planar graphs The Three Houses and Three Utilities Problem: Given three houses and three utilities, can

More information

CMPSCI 250: Introduction to Computation. Lecture #28: Regular Expressions and Languages David Mix Barrington 2 April 2014

CMPSCI 250: Introduction to Computation. Lecture #28: Regular Expressions and Languages David Mix Barrington 2 April 2014 CMPSCI 250: Introduction to Computation Lecture #28: Regular Expressions and Languages David Mix Barrington 2 April 2014 Regular Expressions and Languages Regular Expressions The Formal Inductive Definition

More information

Lecture 11 COVERING SPACES

Lecture 11 COVERING SPACES Lecture 11 COVERING SPACES A covering space (or covering) is not a space, but a mapping of spaces (usually manifolds) which, locally, is a homeomorphism, but globally may be quite complicated. The simplest

More information

Other Voronoi/Delaunay Structures

Other Voronoi/Delaunay Structures Other Voronoi/Delaunay Structures Overview Alpha hulls (a subset of Delaunay graph) Extension of Voronoi Diagrams Convex Hull What is it good for? The bounding region of a point set Not so good for describing

More information

Definition 1 (Hand-shake model). A hand shake model is an incidence geometry for which every line has exactly two points.

Definition 1 (Hand-shake model). A hand shake model is an incidence geometry for which every line has exactly two points. Math 3181 Dr. Franz Rothe Name: All3181\3181_spr13t1.tex 1 Solution of Test I Definition 1 (Hand-shake model). A hand shake model is an incidence geometry for which every line has exactly two points. Definition

More information

Portraits of Groups on Bordered Surfaces

Portraits of Groups on Bordered Surfaces Bridges Finland Conference Proceedings Portraits of Groups on Bordered Surfaces Jay Zimmerman Mathematics Department Towson University 8000 York Road Towson, MD 21252, USA E-mail: jzimmerman@towson.edu

More information

arxiv: v1 [math.gr] 2 Oct 2013

arxiv: v1 [math.gr] 2 Oct 2013 POLYGONAL VH COMPLEXES JASON K.C. POLÁK AND DANIEL T. WISE arxiv:1310.0843v1 [math.gr] 2 Oct 2013 Abstract. Ian Leary inquires whether a class of hyperbolic finitely presented groups are residually finite.

More information

INTRODUCTION TO TOPOLOGY

INTRODUCTION TO TOPOLOGY INTRODUCTION TO TOPOLOGY MARTINA ROVELLI These notes are an outline of the topics covered in class, and are not substitutive of the lectures, where (most) proofs are provided and examples are discussed

More information

EULER S FORMULA AND THE FIVE COLOR THEOREM

EULER S FORMULA AND THE FIVE COLOR THEOREM EULER S FORMULA AND THE FIVE COLOR THEOREM MIN JAE SONG Abstract. In this paper, we will define the necessary concepts to formulate map coloring problems. Then, we will prove Euler s formula and apply

More information

points are stationed arbitrarily close to one corner of the square ( n+1

points are stationed arbitrarily close to one corner of the square ( n+1 1 Intro We ve seen previously that we can construct networks based on the regular triangular, rectangular and hexagonal lattices where the total network length is linear in n and the R-statistic for the

More information

GEOMETRY OF SURFACES. b3 course Nigel Hitchin

GEOMETRY OF SURFACES. b3 course Nigel Hitchin GEOMETRY OF SURFACES b3 course 2004 Nigel Hitchin hitchin@maths.ox.ac.uk 1 1 Introduction This is a course on surfaces. Your mental image of a surface should be something like this: or this However we

More information

BEHIND THE INTUITION OF TILINGS

BEHIND THE INTUITION OF TILINGS BEHIND THE INTUITION OF TILINGS EUGENIA FUCHS Abstract. It may seem visually intuitive that certain sets of tiles can be used to cover the entire plane without gaps or overlaps. However, it is often much

More information

Lattice Polygon s and Pick s Theorem From Dana Paquin and Tom Davis 1 Warm-Up to Ponder

Lattice Polygon s and Pick s Theorem From Dana Paquin and Tom Davis   1 Warm-Up to Ponder Lattice Polygon s and Pick s Theorem From Dana Paquin and Tom Davis http://www.geometer.org/mathcircles/pick.pdf 1 Warm-Up to Ponder 1. Is it possible to draw an equilateral triangle on graph paper so

More information

Final Exam, F11PE Solutions, Topology, Autumn 2011

Final Exam, F11PE Solutions, Topology, Autumn 2011 Final Exam, F11PE Solutions, Topology, Autumn 2011 Question 1 (i) Given a metric space (X, d), define what it means for a set to be open in the associated metric topology. Solution: A set U X is open if,

More information

Model Manifolds for Punctured Torus Groups and Constructions in Higher Complexity

Model Manifolds for Punctured Torus Groups and Constructions in Higher Complexity Model Manifolds for Punctured Torus Groups and Constructions in Higher Complexity Talk by Yair Minsky August 22, 2007 For the first part of this lecture, we will finish up the discussion of punctured torus

More information

The Cyclic Cycle Complex of a Surface

The Cyclic Cycle Complex of a Surface The Cyclic Cycle Complex of a Surface Allen Hatcher A recent paper [BBM] by Bestvina, Bux, and Margalit contains a construction of a cell complex that gives a combinatorial model for the collection of

More information

2017 SOLUTIONS (PRELIMINARY VERSION)

2017 SOLUTIONS (PRELIMINARY VERSION) SIMON MARAIS MATHEMATICS COMPETITION 07 SOLUTIONS (PRELIMINARY VERSION) This document will be updated to include alternative solutions provided by contestants, after the competition has been mared. Problem

More information

4. Definition: topological space, open set, topology, trivial topology, discrete topology.

4. Definition: topological space, open set, topology, trivial topology, discrete topology. Topology Summary Note to the reader. If a statement is marked with [Not proved in the lecture], then the statement was stated but not proved in the lecture. Of course, you don t need to know the proof.

More information

HW Graph Theory Name (andrewid) - X. 1: Draw K 7 on a torus with no edge crossings.

HW Graph Theory Name (andrewid) - X. 1: Draw K 7 on a torus with no edge crossings. 1: Draw K 7 on a torus with no edge crossings. A quick calculation reveals that an embedding of K 7 on the torus is a -cell embedding. At that point, it is hard to go wrong if you start drawing C 3 faces,

More information

WHAT YOU SHOULD LEARN

WHAT YOU SHOULD LEARN GRAPHS OF EQUATIONS WHAT YOU SHOULD LEARN Sketch graphs of equations. Find x- and y-intercepts of graphs of equations. Use symmetry to sketch graphs of equations. Find equations of and sketch graphs of

More information

Lecture 15: The subspace topology, Closed sets

Lecture 15: The subspace topology, Closed sets Lecture 15: The subspace topology, Closed sets 1 The Subspace Topology Definition 1.1. Let (X, T) be a topological space with topology T. subset of X, the collection If Y is a T Y = {Y U U T} is a topology

More information

On the Number of Tilings of a Square by Rectangles

On the Number of Tilings of a Square by Rectangles University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange University of Tennessee Honors Thesis Projects University of Tennessee Honors Program 5-2012 On the Number of Tilings

More information

DISCRETE DIFFERENTIAL GEOMETRY: AN APPLIED INTRODUCTION Keenan Crane CMU /858B Fall 2017

DISCRETE DIFFERENTIAL GEOMETRY: AN APPLIED INTRODUCTION Keenan Crane CMU /858B Fall 2017 DISCRETE DIFFERENTIAL GEOMETRY: AN APPLIED INTRODUCTION Keenan Crane CMU 15-458/858B Fall 2017 LECTURE 10: DISCRETE CURVATURE DISCRETE DIFFERENTIAL GEOMETRY: AN APPLIED INTRODUCTION Keenan Crane CMU 15-458/858B

More information

Naming Angles. One complete rotation measures 360º. Half a rotation would then measure 180º. A quarter rotation would measure 90º.

Naming Angles. One complete rotation measures 360º. Half a rotation would then measure 180º. A quarter rotation would measure 90º. Naming Angles What s the secret for doing well in geometry? Knowing all the angles. An angle can be seen as a rotation of a line about a fixed point. In other words, if I were mark a point on a paper,

More information

Date: Wednesday, 18 January :00AM. Location: Barnard's Inn Hall

Date: Wednesday, 18 January :00AM. Location: Barnard's Inn Hall Wallpaper Patterns and Buckyballs Transcript Date: Wednesday, 18 January 2006-12:00AM Location: Barnard's Inn Hall WALLPAPER PATTERNS AND BUCKYBALLS Professor Robin Wilson My lectures this term will be

More information

Lecture 2 - Introduction to Polytopes

Lecture 2 - Introduction to Polytopes Lecture 2 - Introduction to Polytopes Optimization and Approximation - ENS M1 Nicolas Bousquet 1 Reminder of Linear Algebra definitions Let x 1,..., x m be points in R n and λ 1,..., λ m be real numbers.

More information