Affine and Projective Geometry

Total Page:16

File Type:pdf, Size:1020Kb

Affine and Projective Geometry AFFINE AND PROJECTIVE GEOMETRY Μ. K. Bennett Department of Mathematics and Statistics University of Massachusetts Amherst, Massachusetts A Wiley-Interscience Publication JOHN WILEY & SONS, INC. New York • Chichester • Brisbane • Toronto • Singapore This page intentionally left blank AFFINE AND PROJECTIVE GEOMETRY This page intentionally left blank AFFINE AND PROJECTIVE GEOMETRY Μ. K. Bennett Department of Mathematics and Statistics University of Massachusetts Amherst, Massachusetts A Wiley-Interscience Publication JOHN WILEY & SONS, INC. New York • Chichester • Brisbane • Toronto • Singapore This text is printed on acid-free paper. Copyright © 1995 by John Wiley & Sons, Inc. All rights reserved. Published simultaneously in Canada. Reproduction or translation of any part of this work beyond that permitted by Section 107 or 108 of the 1976 United States Copyright Act without permission of the copyright owner is unlawful. Requests for permission or further information should be addressed to the Permissions Department, John Wiley & Sons, Inc., 605 Third Avenue, New York, NY 10158-0012. Library of Congress Cataloging in Publication Data: Bennett, Μ. K. (Mary Katherine) 1940- Affine and projective geometry / Μ. K. Bennett, p. cm. "A Wiley-Interscience publication." Includes index. ISBN 0-471-11315-8 1. Geometry, Affine. 2. Geometry, Projective. I. Title. QA477.B46 1995 516'.4—dc20 94-44365 10 987654321 To Tom who is always therefor me This page intentionally left blank Contents List of Examples xi Special Symbols xiii Preface xv 1. Introduction 1 1.1. Methods of Proof, 1 1.2. Some Greek Geometers, 2 1.3. Cartesian Geometry, 6 1.4. Hubert's Axioms, 11 1.5. Finite Coordinate Planes, 12 1.6. The Theorems of Pappus and Desargues, 14 Suggested Reading, 17 2. Affine Planes 18 2.1. Definitions and Examples, 18 2.2. Some Combinatorial Results, 23 2.3. Finite Planes, 28 2.4. Orthogonal Latin Squares, 33 2.5. Affine Planes and Latin Squares, 36 2.6. Projective Planes, 41 Suggested Reading, 46 3. Desarguesian Affine Planes 47 3.1. The Fundamental Theorem, 47 3.2. Addition on Lines, 48 3.3. Desargues' Theorem, 50 3.4. Properties of Addition in Affine Planes, 55 3.5. The Converse of Desargues' Theorem, 58 vii viii Contents 3.6. Multiplication on Lines of an Affine Plane, 62 3.7. Pappus' Theorem and Further Properties, 66 Suggested Reading, 70 4. Introducing Coordinates 71 4.1. Division Rings, 71 4.2. Isomorphism, 74 4.3. Coordinate Affine Planes, 76 4.4. Coordinatizing Points, 82 4.5. Linear Equations, 86 4.6 The Theorem of Pappus, 90 Suggested Reading, 92 5. Coordinate Projective Planes 93 5.1. Projective Points and Homogeneous Equations in D3, 93 5.2. Coordinate Projective Planes, 96 5.3. Coordinatization of Desarguesian Projective Planes, 99 5.4. Projective Conies, 102 5.5. Pascal's Theorem, 106 5.6. Non-Desarguesian Coordinate Planes, 110 5.7. Some Examples of Veblen-Wedderburn Systems, 114 5.8. A Projective Plane of Order 9, 117 Suggested Reading, 122 6. Affine Space 123 6.1. Synthetic Affine Space, 123 6.2. Flats in Affine Space, 128 6.3. Desargues' Theorem, 131 6.4. Coordinatization of Affine Space, 134 Suggested Reading, 143 7. Projective Space 144 7.1 Synthetic Projective Space, 144 7.2. Planes in Projective Space, 147 7.3. Dimension, 150 7.4. Consequences of Desargues' Theorem, 154 7.5. Coordinates in Projective Space, 159 Suggested Reading, 164 8. Lattices of Flats 165 8.1. Closure Spaces, 165 8.2. Some Properties of Closure Spaces, 167 Contents ix 8.3. Projective Closure Spaces, 170 8.4. Introduction to Lattices, 171 8.5. Bounded Lattices; Duality, 174 8.6. Distributive, Modular, and Atomic Lattices, 177 8.7. Complete Lattices and Closure Spaces, 181 Suggested Reading, 185 9. CoIIineations 186 9.1. General CoIIineations, 186 9.2. Automorphisms of Planes, 190 9.3. Perspectivities of Projective Spaces, 195 9.4. The Fundamental Theorem of Projective Geometry, 199 9.5. Projectivities and Linear Transformations, 205 9.6. CoIIineations and Commutativity, 209 Suggested Reading, 211 Appendix A. Algebraic Background 212 A.l. Fields, 212 A.2. The Integers Mod n, 214 A.3. Finite Fields, 217 Suggested Reading, 220 Appendix B. Hubert's Example of a Noncommutative Division Ring 221 Suggested Reading, 223 Index 225 This page intentionally left blank List of Examples Chapter 1 Example 1. Four point plane, 12 Example 2. Nine point plane, 13 Chapter 2 Example 1. Real coordinate plane, 19 Example 2. Rational affine plane, 19 Example 3. Four point plane, 19 Example 4. Independence of Al, 20 Example 5. Fano plane, 21 Example 6. Independence of A3, 21 Example 7. Nine point plane, 23 Example 8. Affine plane of order 4, 37 Example 9. Euclidean hemisphere, 42 Example 10. Real projective plane, 42 Chapter 3 Example 1. Affine plane of order 5, 69 Chapter 4 Example 1. Quaternions, 72 Example 2. Affine plane over GF(4), 80 Example 3. Affine plane over Z5, 81 Chapter 5 Example 1. Projective plane over Z2, 97 Example 2. Projective plane over Z3, 97 Example 3. Thirteen point projective plane, 101 Example 4. Twenty-one point projective plane, 102 xii List of Examples Chapter 6 Example 1. Affine planes as affine spaces, 124 Example 2. Coordinate affine spaces, 124 Example 3. Eight point affine space, 125 Example 4. Independence of AS1, 126 Example 5. Independence of AS2, 126 Example 6. Fano plane, 126 Example 7. Sasaki's example, 126 Chapter 7 Example 1. Projective planes as projective spaces, 145 Example 2. Fano space, 145 Example 3. Coordinate projective spaces, 145 Example 4. Independence of PS I, 146 Example 5. Independence of PS2, 146 Example 6. Independence of PS3, 146 Example 7. Fano plane, 163 Example 8. Fifteen point projective space, 164 Chapter 8 Example 1 Vector space as closure space, 165 Example 2. Centralizer closure space, 166 Example 3. Subfield closure space, 166 Example 4. Function closure space, 166 Example 5. Topological closure space, 166 Example 6. Convex closure space, 167 Example 7. Power set lattice, 171 Example 8. Subgroup lattice, 171 Example 9. Lattice of vector subspaces, 172 Example 10. Divisibility lattice, 172 Example 11. Closure space lattice, 172 Appendix A Example 1. Complex numbers, 213 Example 2. Integers mod n, 215 Example 3. Integers mod 3, 215 Example 4. Four element field, 217 Example 5. GF(9), 218 Example 6. GF(27), 218 Special Symbols The following is a list of special symbols used in this book, together with the page on which each first appears. R 7 U2 7 Q 7 Q2 7 Z„ 12 &) 18 /(P,Q) 18 /IU 18 ΤΓ(Γ) 28 R°S 29 Δ 29 m=„k 30 //(«) 36 {&>'t2") 41 {p,q,r) 42 ΧΦ 43 /„ 43 Η 73 D" 76 GF(n) 80 (/,Ο,Ι) 82 /X 84 [a,b,c] 97 PG2(D) 97 9) 123 124 P(iT) 129 ^ 130 S> 130 xiii xiv Special Symbols •5*w 131 AG(^) 134 I. 135 U.O.IJ 135 φ, 135 ΦΑ„ 135 <*,,...,*„> 146 PN 146 PG(F") 146 (M,/) 147 (M, a) 150 XR 158 PG(^) 159 ^xD 160 <P,1> 160 2r 165 (S,<) 171 V 171 Λ 171 & + W 172 Ν 172 a\b 172 W, j) 172 α,ν,Λ) 172 L* 176 23 177 M3 178 Ns 178 < 179 <· 179 L Χ Μ 184 VT 201 Q(v/2) 214 A' 2Π F[u] 217 F[K]/(?(II)) 218 Preface The purpose of this text is to tie together three different approaches to affine and projective geometry: the algebraic (or analytic) approach of coordinate geometry, the axiomatic approach of synthetic geometry, and the lattice theoretic approach through the flats of a geometry. It provides, in one volume, a complete, detailed, and self-contained description of the coordinatization of (Desarguesian) affine and projective space and a thorough discussion of the lattices of flats of these spaces, ending with the Fundamental Theory of Projective Geometry, relating synthetic collineations, lattice isomorphisms, and vector space isomorphisms. The text first aims to offer (for upper-level mathematics and mathe- matics education students) an opportunity to see, at a fairly early stage in their mathematical development, the basic correlation between two seem- ingly disparate but familiar branches of mathematics (synthetic geometry and linear algebra). The first five chapters are suitable for a one-semester course. They attempt to provide background and insight into this correla- tion, so important for prospective secondary teachers, and to develop an appreciation of the geometric nature of linear algebra. These chapters will also strengthen the student's understanding of abstract algebra, since they provide a different perspective on fields than is usually presented in an algebra course. They also will give the students who will not take an algebra course a modicum of familiarity with the most basic notions in abstract algebra. The nine chapters are suitable for a two-semester course. The last four chapters concentrate on nonplanar spaces and vector spaces of dimension 3 or more. They use geometry to introduce the students to the rudiments of lattice theory, with the final chapter providing insights into the geometric nature of linear and semilinear bijections on vector spaces. Throughout the text, geometry is used as a vehicle for introducing such topics as finite fields, some basic combinatorics, closure spaces, lattices, and algebraic systems such as division rings and those of Veblen and Wedderburn. Some of these topics may not appear in other under- graduate courses, and they may inspire some students to further investiga- tion. There are very interesting open questions in affine and projective xv xvi Preface geometry that can easily be understood by students at this level. Dis- cussing such questions always seems to interest students and whet their appetites for more mathematics.
Recommended publications
  • Projective Geometry: a Short Introduction
    Projective Geometry: A Short Introduction Lecture Notes Edmond Boyer Master MOSIG Introduction to Projective Geometry Contents 1 Introduction 2 1.1 Objective . .2 1.2 Historical Background . .3 1.3 Bibliography . .4 2 Projective Spaces 5 2.1 Definitions . .5 2.2 Properties . .8 2.3 The hyperplane at infinity . 12 3 The projective line 13 3.1 Introduction . 13 3.2 Projective transformation of P1 ................... 14 3.3 The cross-ratio . 14 4 The projective plane 17 4.1 Points and lines . 17 4.2 Line at infinity . 18 4.3 Homographies . 19 4.4 Conics . 20 4.5 Affine transformations . 22 4.6 Euclidean transformations . 22 4.7 Particular transformations . 24 4.8 Transformation hierarchy . 25 Grenoble Universities 1 Master MOSIG Introduction to Projective Geometry Chapter 1 Introduction 1.1 Objective The objective of this course is to give basic notions and intuitions on projective geometry. The interest of projective geometry arises in several visual comput- ing domains, in particular computer vision modelling and computer graphics. It provides a mathematical formalism to describe the geometry of cameras and the associated transformations, hence enabling the design of computational ap- proaches that manipulates 2D projections of 3D objects. In that respect, a fundamental aspect is the fact that objects at infinity can be represented and manipulated with projective geometry and this in contrast to the Euclidean geometry. This allows perspective deformations to be represented as projective transformations. Figure 1.1: Example of perspective deformation or 2D projective transforma- tion. Another argument is that Euclidean geometry is sometimes difficult to use in algorithms, with particular cases arising from non-generic situations (e.g.
    [Show full text]
  • Lecture 3: Geometry
    E-320: Teaching Math with a Historical Perspective Oliver Knill, 2010-2015 Lecture 3: Geometry Geometry is the science of shape, size and symmetry. While arithmetic dealt with numerical structures, geometry deals with metric structures. Geometry is one of the oldest mathemati- cal disciplines and early geometry has relations with arithmetics: we have seen that that the implementation of a commutative multiplication on the natural numbers is rooted from an inter- pretation of n × m as an area of a shape that is invariant under rotational symmetry. Number systems built upon the natural numbers inherit this. Identities like the Pythagorean triples 32 +42 = 52 were interpreted geometrically. The right angle is the most "symmetric" angle apart from 0. Symmetry manifests itself in quantities which are invariant. Invariants are one the most central aspects of geometry. Felix Klein's Erlanger program uses symmetry to classify geome- tries depending on how large the symmetries of the shapes are. In this lecture, we look at a few results which can all be stated in terms of invariants. In the presentation as well as the worksheet part of this lecture, we will work us through smaller miracles like special points in triangles as well as a couple of gems: Pythagoras, Thales,Hippocrates, Feuerbach, Pappus, Morley, Butterfly which illustrate the importance of symmetry. Much of geometry is based on our ability to measure length, the distance between two points. A modern way to measure distance is to determine how long light needs to get from one point to the other. This geodesic distance generalizes to curved spaces like the sphere and is also a practical way to measure distances, for example with lasers.
    [Show full text]
  • Notes 20: Afine Geometry
    Notes 20: Afine Geometry Example 1. Let C be the curve in R2 defined by x2 + 4xy + y2 + y2 − 1 = 0 = (x + 2y)2 + y2 − 1: If we set u = x + 2y; v = y; we obtain u2 + v2 − 1 = 0 which is a circle in the u; v plane. Let 2 2 F : R ! R ; (x; y) 7! (u = 2x + y; v = y): We look at the geometry of F: Angles: This transformation does not preserve angles. For example the line 2x + y = 0 is mapped to the line u = 0; and the line y = 0 is mapped to v = 0: The two lines in the x − y plane are not orthogonal, while the lines in the u − v plane are orthogonal. Distances: This transformation does not preserve distance. The point A = (−1=2; 1) is mapped to a = (0; 1) and the point B = (0; 0) is mapped to b = (0; 0): the distance AB is not equal to the distance ab: Circles: The curve C is an ellipse with axis along the lines 2x + y = 0 and x = 0: It is mapped to the unit circle in the u − v plane. Lines: The map is a one-to-one onto map that maps lines to lines. What is a Geometry? We can think of a geometry as having three parts: A set of points, a special set of subsets called lines, and a group of transformations of the set of points that maps lines to lines. In the case of Euclidean geometry, the set of points is the familiar plane R2: The special subsets are what we ordinarily call lines.
    [Show full text]
  • (Finite Affine Geometry) References • Bennett, Affine An
    MATHEMATICS 152, FALL 2003 METHODS OF DISCRETE MATHEMATICS Outline #7 (Finite Affine Geometry) References • Bennett, Affine and Projective Geometry, Chapter 3. This book, avail- able in Cabot Library, covers all the proofs and has nice diagrams. • “Faculty Senate Affine Geometry”(attached). This has all the steps for each proof, but no diagrams. There are numerous references to diagrams on the course Web site, however, and the combination of this document and the Web site should be all that you need. • The course Web site, AffineDiagrams folder. This has links that bring up step-by-step diagrams for all key results. These diagrams will be available in class, and you are welcome to use them instead of drawing new diagrams on the blackboard. • The Windows application program affine.exe, which can be downloaded from the course Web site. • Data files for the small, medium, and large affine senates. These accom- pany affine.exe, since they are data files read by that program. The file affine.zip has everything. • PHP version of the affine geometry software. This program, written by Harvard undergraduate Luke Gustafson, runs directly off the Web and generates nice diagrams whenever you use affine geometry to do arithmetic. It also has nice built-in documentation. Choose the PHP- Programs folder on the Web site. 1. State the first four of the five axioms for a finite affine plane, using the terms “instructor” and “committee” instead of “point” and “line.” For A4 (Desargues), draw diagrams (or show the ones on the Web site) to illustrate the two cases (three parallel lines and three concurrent lines) in the Euclidean plane.
    [Show full text]
  • Lecture 5: Affine Graphics a Connect the Dots Approach to Two-Dimensional Computer Graphics
    Lecture 5: Affine Graphics A Connect the Dots Approach to Two-Dimensional Computer Graphics The lines are fallen unto me in pleasant places; Psalms 16:6 1. Two Shortcomings of Turtle Graphics Two points determine a line. In Turtle Graphics we use this simple fact to draw a line joining the two points at which the turtle is located before and after the execution of each FORWARD command. By programming the turtle to move about and to draw lines in this fashion, we are able to generate some remarkable figures in the plane. Nevertheless, the turtle has two annoying idiosyncrasies. First, the turtle has no memory, so the order in which the turtle encounters points is crucial. Thus, even though the turtle leaves behind a trace of her path, there is no direct command in LOGO to return the turtle to an arbitrary previously encountered location. Second, the turtle is blissfully unaware of the outside universe. The turtle carries her own local coordinate system -- her state -- but the turtle does not know her position relative to any other point in the plane. Turtle geometry is a local, intrinsic geometry; the turtle knows nothing of the extrinsic, global geometry of the external world. The turtle can draw a circle, but the turtle has no idea where the center of the circle might be or even that there is such a concept as a center, a point outside her path around the circumference. These two shortcomings -- no memory and no knowledge of the outside world -- often make the turtle cumbersome to program.
    [Show full text]
  • Essential Concepts of Projective Geomtry
    Essential Concepts of Projective Geomtry Course Notes, MA 561 Purdue University August, 1973 Corrected and supplemented, August, 1978 Reprinted and revised, 2007 Department of Mathematics University of California, Riverside 2007 Table of Contents Preface : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : i Prerequisites: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :iv Suggestions for using these notes : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :v I. Synthetic and analytic geometry: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :1 1. Axioms for Euclidean geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 1 2. Cartesian coordinate interpretations : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 2 3 3. Lines and planes in R and R : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 II. Affine geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 1. Synthetic affine geometry : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 2. Affine subspaces of vector spaces : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 13 3. Affine bases: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :19 4. Properties of coordinate
    [Show full text]
  • Affine Geometry
    CHAPTER II AFFINE GEOMETRY In the previous chapter we indicated how several basic ideas from geometry have natural interpretations in terms of vector spaces and linear algebra. This chapter continues the process of formulating basic geometric concepts in such terms. It begins with standard material, moves on to consider topics not covered in most courses on classical deductive geometry or analytic geometry, and it concludes by giving an abstract formulation of the concept of geometrical incidence and closely related issues. 1. Synthetic affine geometry In this section we shall consider some properties of Euclidean spaces which only depend upon the axioms of incidence and parallelism Definition. A three-dimensional incidence space is a triple (S; L; P) consisting of a nonempty set S (whose elements are called points) and two nonempty disjoint families of proper subsets of S denoted by L (lines) and P (planes) respectively, which satisfy the following conditions: (I { 1) Every line (element of L) contains at least two points, and every plane (element of P) contains at least three points. (I { 2) If x and y are distinct points of S, then there is a unique line L such that x; y 2 L. Notation. The line given by (I {2) is called xy. (I { 3) If x, y and z are distinct points of S and z 62 xy, then there is a unique plane P such that x; y; z 2 P . (I { 4) If a plane P contains the distinct points x and y, then it also contains the line xy. (I { 5) If P and Q are planes with a nonempty intersection, then P \ Q contains at least two points.
    [Show full text]
  • References Finite Affine Geometry
    MATHEMATICS S-152, SUMMER 2005 THE MATHEMATICS OF SYMMETRY Outline #7 (Finite Affine Geometry) References • Bennett, Affine and Projective Geometry, Chapter 3. This book, avail- able in Cabot Library, covers all the proofs and has nice diagrams. • “Faculty Senate Affine Geometry” (attached). This has all the steps for each proof, but no diagrams. There are numerous references to diagrams on the course web site; however, and the combination of this document and the web site should be all that you need. • The course web site, AffineDiagrams folder. This has links that bring up step-by-step diagrams for all key results. These diagrams will be available in class, and you are welcome to use them instead of drawing new diagrams on the blackboard. • The Windows application program, affine.exe, which can be down- loaded from the course web site. • Data files for the small, medium, and large affine senates. These ac- company affine.exe, since they are data files read by that program. The file affine.zip has everything. • PHP version of the affine geometry software. This program, written by Harvard undergraduate Luke Gustafson, runs directly off the web and generates nice diagrams whenever you use affine geometry to do arithmetic. It also has nice built-in documentation. Choose the PHP- Programs folder on the web site. Finite Affine Geometry 1. State the first four of the five axioms for a finite affine plane, using the terms “instructor” and “committee” instead of “point” and “line.” For A4 (Desargues), draw diagrams (or show the ones on the web site) to 1 illustrate the two cases (three parallel lines and three concurrent lines) in the Euclidean plane.
    [Show full text]
  • A Survey of the Development of Geometry up to 1870
    A Survey of the Development of Geometry up to 1870∗ Eldar Straume Department of mathematical sciences Norwegian University of Science and Technology (NTNU) N-9471 Trondheim, Norway September 4, 2014 Abstract This is an expository treatise on the development of the classical ge- ometries, starting from the origins of Euclidean geometry a few centuries BC up to around 1870. At this time classical differential geometry came to an end, and the Riemannian geometric approach started to be developed. Moreover, the discovery of non-Euclidean geometry, about 40 years earlier, had just been demonstrated to be a ”true” geometry on the same footing as Euclidean geometry. These were radically new ideas, but henceforth the importance of the topic became gradually realized. As a consequence, the conventional attitude to the basic geometric questions, including the possible geometric structure of the physical space, was challenged, and foundational problems became an important issue during the following decades. Such a basic understanding of the status of geometry around 1870 enables one to study the geometric works of Sophus Lie and Felix Klein at the beginning of their career in the appropriate historical perspective. arXiv:1409.1140v1 [math.HO] 3 Sep 2014 Contents 1 Euclideangeometry,thesourceofallgeometries 3 1.1 Earlygeometryandtheroleoftherealnumbers . 4 1.1.1 Geometric algebra, constructivism, and the real numbers 7 1.1.2 Thedownfalloftheancientgeometry . 8 ∗This monograph was written up in 2008-2009, as a preparation to the further study of the early geometrical works of Sophus Lie and Felix Klein at the beginning of their career around 1870. The author apologizes for possible historiographic shortcomings, errors, and perhaps lack of updated information on certain topics from the history of mathematics.
    [Show full text]
  • 1 Euclidean Geometry
    Dr. Anna Felikson, Durham University Geometry, 16.10.2018 Outline 1 Euclidean geometry 1.1 Isometry group of Euclidean plane, Isom(E2). A distance on a space X is a function d : X × X ! R,(A; B) 7! d(A; B) for A; B 2 X satisfying 1. d(A; B) ≥ 0 (d(A; B) = 0 , A = B); 2. d(A; B) = d(B; A); 3. d(A; C) ≤ d(A; B) + d(B; C) (triangle inequality). We will use two models of Euclidean plane: p 2 2 a Cartesian plane: f(x; y) j x; y 2 Rg with the distance d(A1;A2) = (x1 − x2) + (y1 − y2) ; a Gaussian plane: fz j z 2 Cg, with the distance d(u; v) = ju − vj. Definition 1.1. A Euclidean isometry is a distance-preserving transformation of E2, i.e. a map f : E2 ! E2 satisfying d(f(A); f(B)) = d(A; B). Thm 1.2. (a) Every isometry of E2 is a one-to-one map. (b) A composition of any two isometries is an isometry. (c) Isometries of E2 form a group (denoted Isom(E2)) with composition as a group operation. Example 1.3: Translation, rotation, reflection in a line, glide reflection are isometries. Definition 1.4. Let ABC be a triangle labelled clock-wise. An isometry f is orientation-preserving if the triangle f(A)f(B)f(C) is also labelled clock-wise. Otherwise, f is orientation-reversing. Proposition 1.5. (correctness of Definition 1.12) Definition 1.4 does not depend on the choice of the triangle ABC.
    [Show full text]
  • Affine Geometry, Visual Sensation, and Preference For
    S S symmetry Article Affine Geometry, Visual Sensation, and Preference for Symmetry of Things in a Thing Birgitta Dresp-Langley ICube Laboratory UMR 7357 CNRS, University of Strasbourg, Strasbourg 67000, France; [email protected] Academic Editor: Marco Bertamini Received: 4 August 2016; Accepted: 9 November 2016; Published: 14 November 2016 Abstract: Evolution and geometry generate complexity in similar ways. Evolution drives natural selection while geometry may capture the logic of this selection and express it visually, in terms of specific generic properties representing some kind of advantage. Geometry is ideally suited for expressing the logic of evolutionary selection for symmetry, which is found in the shape curves of vein systems and other natural objects such as leaves, cell membranes, or tunnel systems built by ants. The topology and geometry of symmetry is controlled by numerical parameters, which act in analogy with a biological organism’s DNA. The introductory part of this paper reviews findings from experiments illustrating the critical role of two-dimensional (2D) design parameters, affine geometry and shape symmetry for visual or tactile shape sensation and perception-based decision making in populations of experts and non-experts. It will be shown that 2D fractal symmetry, referred to herein as the “symmetry of things in a thing”, results from principles very similar to those of affine projection. Results from experiments on aesthetic and visual preference judgments in response to 2D fractal trees with varying degrees of asymmetry are presented. In a first experiment (psychophysical scaling procedure), non-expert observers had to rate (on a scale from 0 to 10) the perceived beauty of a random series of 2D fractal trees with varying degrees of fractal symmetry.
    [Show full text]
  • Notes on Geometry and Spacetime Version 2.7, November 2009
    Notes on Geometry and Spacetime Version 2.7, November 2009 David B. Malament Department of Logic and Philosophy of Science University of California, Irvine [email protected] Contents 1 Preface 2 2 Preliminary Mathematics 2 2.1 Vector Spaces . 3 2.2 Affine Spaces . 6 2.3 Metric Affine Spaces . 15 2.4 Euclidean Geometry . 21 3 Minkowskian Geometry and Its Physical Significance 28 3.1 Minkowskian Geometry { Formal Development . 28 3.2 Minkowskian Geometry { Physical Interpretation . 39 3.3 Uniqueness Result for Minkowskian Angular Measure . 51 3.4 Uniqueness Results for the Relative Simultaneity Relation . 56 4 From Minkowskian Geometry to Hyperbolic Plane Geometry 64 4.1 Tarski's Axioms for first-order Euclidean and Hyperbolic Plane Geometry . 64 4.2 The Hyperboloid Model of Hyperbolic Plane Geometry . 69 These notes have not yet been fully de-bugged. Please read them with caution. (Corrections will be much appreciated.) 1 1 Preface The notes that follow bring together a somewhat unusual collection of topics. In section 3, I discuss the foundations of \special relativity". I emphasize the invariant, \geometrical approach" to the theory, and spend a fair bit of time on one special topic: the status of the relative simultaneity relation within the theory. At issue is whether the standard relation, the one picked out by Einstein's \definition" of simultaneity, is conventional in character, or is rather in some significant sense forced on us. Section 2 is preparatory. When the time comes, I take \Minkowski space- time" to be a four-dimensional affine space endowed with a Lorentzian inner product.
    [Show full text]