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Coordinate Geometry
JWR
Tuesday September 6, 2005
Contents
1 Introduction 3
2 Some Fallacies 4
2.1 Every Angle is a Right Angle!? . . . . . . . . . . . . . . . . . 5
2.2 Every Triangle is Isosceles!? . . . . . . . . . . . . . . . . . . . 6
2.3 Every Triangle is Isosceles!? -II . . . . . . . . . . . . . . . . . 7
3 Affine Geometry 8
3.1 Lines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.2 Affine Transformations . . . . . . . . . . . . . . . . . . . . . . 12
3.3 Directed Distance . . . . . . . . . . . . . . . . . . . . . . . . . 19
3.4 Points and Vectors . . . . . . . . . . . . . . . . . . . . . . . . 20
3.5 Area . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
3.6 Parallelograms . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
3.7 Menelaus and Ceva . . . . . . . . . . . . . . . . . . . . . . . . 24
3.8 The Medians and the Centroid . . . . . . . . . . . . . . . . . . 26
4 Euclidean Geometry 30
4.1 Orthogonal Matrices . . . . . . . . . . . . . . . . . . . . . . . 30
4.2 Euclidean Transformations . . . . . . . . . . . . . . . . . . . . 31
4.3 Congruence . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
4.4 Similarity Transformations . . . . . . . . . . . . . . . . . . . . 33
4.5 Rotations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
4.6 Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
4.7 Angles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
1
4.8 Addition of Angles . . . . . . . . . . . . . . . . . . . . . . . . 39
5 More Euclidean Geometry 43
5.1 Circles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
5.2 The Circumcircle and the Circumcenter . . . . . . . . . . . . . 44
5.3 The Altitudes and the Orthocenter . . . . . . . . . . . . . . . 44
5.4 Angle Bisectors . . . . . . . . . . . . . . . . . . . . . . . . . . 46
5.5 The Incircle and the Incenter . . . . . . . . . . . . . . . . . . 46
5.6 The Euler Line . . . . . . . . . . . . . . . . . . . . . . . . . . 47
5.7 The Nine Point Circle . . . . . . . . . . . . . . . . . . . . . . 47
5.8 ACoordinate Proof . . . . . . . . . . . . . . . . . . . . . . . . 49
5.9 Simson’s Theorem . . . . . . . . . . . . . . . . . . . . . . . . . 50
5.10 The Butterfly . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
5.11 Morley’s Theorem . . . . . . . . . . . . . . . . . . . . . . . . . 54
5.12 Bramagupta and Heron . . . . . . . . . . . . . . . . . . . . . . 54
5.13 Napoleon’s Theorem . . . . . . . . . . . . . . . . . . . . . . . 54
5.14 The Fermat Point . . . . . . . . . . . . . . . . . . . . . . . . . 54
6 Projective Geometry 55
6.1 Homogeneous coordinates . . . . . . . . . . . . . . . . . . . . 55
6.2 Projective Transformations . . . . . . . . . . . . . . . . . . . . 57
6.3 Desargues and Pappus . . . . . . . . . . . . . . . . . . . . . . 60
6.4 Duality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
6.5 The Projective Line . . . . . . . . . . . . . . . . . . . . . . . . 64
6.6 Cross Ratio . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66
6.7 AGeometric Computer . . . . . . . . . . . . . . . . . . . . . . 67
7 Inversive Geometry 69
7.1 The complex projective line . . . . . . . . . . . . . . . . . . . 69
7.2 Feuerbach’s theorem . . . . . . . . . . . . . . . . . . . . . . . 69
8 Klein’s view of geometry 70
8.1 The elliptic plane . . . . . . . . . . . . . . . . . . . . . . . . . 70
8.2 The hyperbolic plane . . . . . . . . . . . . . . . . . . . . . . . 70
8.3 Special relativity . . . . . . . . . . . . . . . . . . . . . . . . . 70
A Matrix Notation 71
B Determinants 73
2
C Sets and Transformations 75
1 Introduction
These are notes to Math 461, a course in plane geometry I sometimes teach
at the University of Wisconsin. Students who take this course have com-
pleted the calculus sequence and have thus seen a certain amount of analytic
geometry. Many have taken (or take concurrently) the first course in linear
algebra. To make the course accessible to those not familiar with linear al-
gebra, there are three appendices explaining matrix notation, determinants,
and the language of sets and transformations.
My object is to explain that classical plane geometry is really a subset
of algebra, i.e. every theorem in plane geometry can be formulated as a
theorem which says that the solutions of one system of polynomial equations
satisfy another system of polynomial equations. The upside of this is that
the criteria for the correctness of proofs become clearer and less reliant on
pictures.
The downside is evident: algebra, especially complicated but elementary
algebra, is not nearly so beautiful and compelling as geometry. Even the
weakest students can appreciate geometric arguments and prove beautiful
theorems on their own. For this reason the course also includes synthetic
arguments as well. I have not reproduced these here but instead refer to
the excellent texts of Isaacs [4] and Coxeter & Greitzer [3] as needed. It is
my hope that the course as a whole conveys the fact that the foundations
of geometry can be based on algebra, but that it is not always desirable to
replace traditional (synthetic) forms of argument by algebraic arguments.
The following quote of a quote which I got from page 31 of [3] should serve
as a warning.
The following anecdote was related by E.T. Bell [1] page 48.
Young Princess Elisabeth had successfully attacked a problem in
elementary geometry using coordinates. As Bell states it, “The
problem is a fine specimen of the sort that are not adapted to
the crude brute force of elementary Cartesian geometry.” Her
teacher Ren´e Descartes (who invented the coordinate method)
said that “he would not undertake to carry out her solution ...
in a month.”
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The reduction of geometry to algebra requires the notion of a transfor-
mation group. The transformation group supplies two essential ingredients.
First it is used to define the notion of equivalence in the geometry in question.
For example, in Euclidean geometry, two triangles are congruent iff there is
distance preserving transformation carrying one to the other and they are
similar iff there is a similarity transformation carrying one to the other. Sec-
ondly, in each kind of geometry there are normal form theorems which can be
used to simplify coordinate proofs. For example, in affine geometry every tri-
angle is equivalent to the triangle whose vertices are A0 = (0,0), B0 = (1,0),
C0 = (0,1) (see Theorem 3.13) and in Euclidean geometry every triangle is
congruent to the triangle whose vertices are of form A = (a,0), B = (b,0),
C=(0,c) (see Corollary 4.14).
This semester the official text is [3]. In past semesters I have used [4] and
many of the exercises and some of the proofs in these notes have been taken
from that source.
2 Some Fallacies
Pictures sometimes lead to erroneous reasoning, especially if they are not
carefully drawn. The three examples in this chapter illustrate this. I got
them from [6]. See if you can find the mistakes. Usually the mistake is a
kind of sign error resulting from the fact that some point is drawn on the
wrong side of some line.
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