MAT 3272: Cartesian Planes and Transformations
|
|
- Toby Bell
- 7 years ago
- Views:
Transcription
1 MAT 7: Cartesian Planes and Transformations March, 0 - (in honor of Hilbert s thirteen axioms for neutral geometry) are due by 5 p.m. on Wed., March, or electronically by 8 a.m. on Thursday, March. Ordered Fields, Incidence, and Betweenness Let Π(F) denote the Cartesian plane over a field F. (Recall that this means that the points of our plane Π(F) are ordered pairs of elements of F, the lines of Π(F) are the solution sets of linear equations, and incidence is given by set membership. With only this incidence relation defined, the Cartesian plane over F is often called the affine plane with coordinates in F. This is because any affine transformation (see next section) of the points preserves lines and incidence. Affine transformations are very useful for checking properties of the plane, as we have seen. As long as we don t care about congruence, we can use any affine transformation we like to reduce our situation to a simpler one. If the field is clear from context, we will omit it from the notation and just write Π.) Theorem. For any field F, Π(F ) satisfies Hilbert s Incidence Axioms -. Exercise. We have proven this theorem in class. As a review, verify that axioms I-I are satisfied. You may use either linear or elementary algebra, or a combination of both, as it suits you. If F is an ordered field, there is a natural way to define betweenness: Given a line with equation y = mx + b (so the coefficient of y is not zero) and three points on it, (x, mx + b), (x, mx + b), and (x, mx + b), define (x, mx + b) to be between (x, mx + b), and (x, mx + b) if (and only if) x is between x and x in the ordering of F. (It is trivial to show that, in this case, it is also the case that y = mx + b is between the other two y coordinates, and vice-versa.) In the remaining case, in which the line has equation x = x 0 (so the coefficient of y is zero), and given three points (x 0, y ), (x 0, y ) and (x 0, y ), define (x 0, y ) to be between (x 0, y ) and (x 0, y ) if (and only if) y is between y and y in the ordering of F. Theorem. The plane Π(F) satisfies Hilbert s Betweenness Axioms -4 if and only if F is an ordered field and the betweenness relation is given by the ordering of F (as described above). The proof that it is sufficient for F to be ordered, with the betweenness relation determined by the ordering of F, is fairly straightforward. BA follows directly from the definition. BA follows from the fact that, given any two elements of an ordered field, there is an element between them (take the average), an element less than both of them (subtract from the smaller of the two), and an element greater than both of them (add to the greater of the two). BA follows from the fact that, by definition of a linear order, in an ordered field any three distinct elements are pairwise comparable and ordered transitively in a unique way. BA4 is a bit trickier and is outlined below; it can be done without using affine transformations, but is an illustrative application of them. Note that the properties of a field are only needed for BA and BA4. BA4 can be proved directly for any line, but it is easier to note that this line may be transformed by an affine transformation so that it is the x-axis: y = 0. You will show that affine transformations
2 preserve betweenness as well as incidence relationships, so verifying BA4 may be reduced to the case of the x-axis, which is fairly trivial, based on the fact that the betweenness relationships depend only on the signs of the y coordinates of the points. The exercises below take you through the necessary steps.. (Concrete example) Consider the points (, ), (, 4), and (4, 8). Verify that these points are collinear. Let T (, ) be the translation defined by (x, y) (x +, y ). Show that the images of these points under this translation are collinear by giving an equation for the line on which they lie. Show in addition that the betweenness relationship among the points is preserved after translation.. (General result) Let b = (b, b ) be a vector with coordinates in F. Denote by T b the translation defined by (x, y) (x, y) + b = (x + b, y + b ). Show that if (x, y ), (x, y ), and (x, y ) are collinear, then T b (x, y ), T b (x, y ), and T b (x, y ) are collinear by giving an equation for the line on which they lie in terms of the coefficients for the equation satisfied by (x, y ), (x, y ), and (x, y ). Show in addition that the betweenness relationship among the points is preserved. A Crash Course in Linear Algebra in Two Dimensions! Consider F F as a vector space, with addition and scalar multiplication defined coordinate by coordinate in the obvious way. (A vector space over a field F is just a set in which addition and multiplication by elements of F, which are called scalars, are defined and obey the natural distributive properties, and which contains an additive identity element and all additive inverses.) In general, a transformation L of a vector space is linear if, given vectors v and w and given scalars a, b F, L(av + bw) = al(v) + bl(w). For our two-dimensional vector space F F, this means that a linear map is completely determined by its outputs for (, 0) and (0, ), since (x, y) = x(, 0) + y(0, ). I invite you to check that if L(, 0) = (v, v ) and L(0, ) = (w, w ), then L may be computed by matrix multiplication: [ ] [ ] v w L(x, y) = x w y v Conversely, any transformation defined by matrix multiplication is linear. An affine transformation is any composition of linear transformations and translations. 4. (Concrete example) Consider again the points (, ), (, 4), and (4, 8), thinking of them as vectors. Let L be any linear transformation of the vector space F F. Show that L(, ), L(, 4), and L(4, 8) are collinear, and give an equation for the line on which they lie. Show in addition that the betweenness relationship among the points is preserved. 5. (General result) Given three collinear points and a linear transformation L, show that the images of these points under L are collinear, and give an equation for the line on which these images lie, in terms of the equation for the line through the original points. Show in addition that the betweenness relationship among the points is preserved. 6. Given a linear transformation L, show that L T b = T L(b) L. In addition, show that T a T b = T a+b. Finally, show that the composition of two linear transformations is linear. Conclude that any affine transformation may be written as a (single) linear transformation followed by a (single) translation. 7. Give the matrix for an invertible linear transformation that transforms the y-axis into the x-axis. (There is not a single correct answer.) Give the matrix for the inverse of this transformation. 8. Give the matrix for an invertible linear transformation that transforms the line y = mx into the x-axis. (Again, there is not a single correct answer.) Give the matrix for the inverse of this transformation.
3 9. Give the formula for an invertible affine transformation that transforms the line x = x 0 into the x-axis. Give the formula for the inverse of this transformation. 0. Give the formula for an invertible affine transformation that transforms the line y = mx + b into the x-axis. Give the formula for the inverse of this transformation.. Let l be any line, let P and Q be any points not lying on l, and let A be any invertible affine transformation. Show that P and Q are on opposite sides (resp. the same side) of l if and only if A(P ) and A(Q) are on opposite sides (resp., the same side) of A(l).. Let P and Q be any two points that do not lie on the x-axis. Show that P and Q are on opposite sides (resp., the same side) of the x-axis if and only if their y coordinates have opposite signs (resp., the same sign).. Prove that Betweenness Axiom 4 holds in the Cartesian plane over an ordered field. The proof of the converse, that if BA-4 are satisfied in a Cartesian plane, then the field must ordered and the betweenness relation of the plane must correspond to that order, is considerably harder. Frankly, we glossed over the proof in class. In fact, a generally excellent source for this material, Geometry: Euclid and Beyond, by the algebraic geometer Robin Hartshorne, contains an incorrect argument for this result! I will explain! Let us think carefully about the hypothesis of this proposition. We have a Cartesian plane over some field: the points are ordered pairs of elements in this field, the lines are solution sets of linear equations. We are assuming that incidence is given by set membership: a point is on a line if it satisfies the equation of that line (that is, if it is in the solution set of that equation). Although we are assuming there is a betweenness relation among the points in our plane, we are not defining it. We are only assuming it satisfies BA-4. Since we haven t assumed our field is ordered, we cannot define a betweenness relation based on such an ordering! We are also not defining a congruence relation, nor even assuming there is one. We could define a congruence relation in the usual way, but our purpose is to show that the betweenness axioms alone are sufficient, with or without a congruence relation, to imply that our field is ordered and this ordering determines the betweenness relation. In particular, we cannot find points with particular coordinates by marking off congruent segments, because we are not assuming any notion of congruence. (This is where Hartshorne commits his error.) So what do we have to work with? We know whether or not two lines are parallel, since we can determine if their equations have a common solution. If two lines are parallel, all the points on one are on the same side of the other one. Recall also the trick that if P, Q, and R lie on a line l, and m is a distinct line through Q, then P Q R P and R are on opposite sides of m. (Sides of a line are defined, since we have a betweenness relation.) These tools alone are sufficient to reach the desired conclusion! Before proceeding with the proof, let us consider how to prove a field is ordered. Recall that we need to define a set P of positive elements. The set of positive elements induces an order with the definition that a < b b a P. The requirement that a < b a + c < b + c is automatically met, since (b + c) (a + c) = b a. To ensure that the other requirements of an ordered field are met, P must satisfy the following properties: 0. It goes without saying that 0 P. This property ensures anti-reflexivity, since any element minus itself is zero.. For any field element a 0, either a P or a P. This ensures that any two field elements are comparable (since a b = (b a)).. P is closed under addition. This ensures transitivity (since c a = (c b) + (b a)).. P is closed under multiplication. This ensures that if a < b and c > 0, ac < bc. (Short exercise: show this!) Define P to be the set of x-coordinates for points on the x-axis that are on the same side of (0, 0) as (, 0). (That is, (0, 0) does not lie between these points and (, 0); equivalently, they are on the same
4 side of the y-axis as (, 0).) Pictorially, we will represent points on the x-axis that are on the same side as (, 0) as being to the right of the y-axis, and we will represent the points on the y-axis that are on the same side as (0, ) as being above the x-axis, in the usual manner. Property (0) above is clearly satisfied. The following exercises lead you through the proofs of the remaining three properties. (You are, of course, welcome to develop arguments different from the ones suggested.) 4. First show that (a, 0) and (, 0) are on the same side of the y-axis if and only if (0, a) and (0, ) are on the same side of the x-axis. (In other words, the points on the same side of the x-axis as (0, ) are exactly those points with y-coordinate in P.) Consult the following picture, which illustrates that (0, 0) (, 0) (a, 0) (0, 0) (0, ) (0, a). The proof that (0, 0) (a, 0) (, 0) (0, 0) (0, a) (0, ) is similar. By BA, exactly one of these situations must hold, since (0, 0) is not in the middle. (0,a) (0,) (0,0) (,0) (a,0) 5. More generally, the method of the previous exercise shows that (a, 0) (b, 0) (c, 0) (0, a) (0, b) (0, c). 6. To show that P is closed under multiplication (Property ), assume b P (and hence that (0, b) and (0, ) are on the same side of the x-axis), and show that (a, 0) and (ab, 0) are on the same side of the y-axis.. Consult the following illustration. (0,b) (0,) (0,0) (a,0) (ab,0) 7. Either as an algebraic consequence of the previous result, or using the illustration below, show that P is closed under multiplicative inverses.
5 (0,a) (0,) (0,0) (/a,0) (,0) 8. Show that P is close under addition (Property ()). Consult the following illustration, and then apply the previous results. (Hint: Assume, without loss of generality, that (0, 0) (a, 0) (b, 0). Then (0, 0) and (0, b) are on opposite sides of (0, a)(b, 0). Since (0, 0) and (a, 0) are on the same side of ( ) ab (0, a)(b, 0), (0, b) and (a, 0) are on opposite sides, by BA4. Hence (0, b) a+b, ab a+b (a, 0), ( ) from which it follows that and (a, 0) are on the same side of the y-axis. Note that ab a+b, ab a+b BA and Prop.. are used on several occasions. Finish by using the fact that a vertical line is parallel to the y-axis, so all points on it are on the same side of the y-axis.) (0,b) (0,a) (ab/(a+b),ab/(a+b)) (0,0) (ab/(a+b),0) (a,0) (b,0) 9. Finally, show that if a 0 and a / P, then a P (Property ()). (Hint: An argument similar to the one used in the previous exercise shows that if (a, 0) and (b, 0) are both on the opposite side of the y-axis from (, 0), then so is their sum. Hence, if neither a nor a is in P, we would obtain the obvious contradiction that (0, 0) is on the opposite side of the y-axis from (, 0). Now that we know our coordinate field F is ordered, it is not hard to show that this ordering gives the same betweenness relation that we assumed to begin with. After all, the ordering of the field elements is determined by the betweenness relation of the plane! It suffices to show that betweenness and ordering are the same for the x-axis (proof left to the reader for extra credit!): a < b < c or a > b > c a b < 0 < c b or a b > 0 > c b a b is negative and c b is positive, or a b is positive and c b is negative, (a b, 0) and (c b, 0) are on opposite sides of the y axis a and c are on opposite sides of the line x = b (proof left to the reader for extra credit!) (a, 0) (b, 0) (c, 0). Ordered Pythagorean Fields and Congruence Observe that we must have a betweenness relation in order to introduce congruence, because without it we cannot define segments, rays, or angles! (An angle consists of two rays emanating from a common point, so without rays, there are no angles.) There wouldn t be any objects that could be congruent! Once we have a betweenness relation, we can define congruence in a Cartesian plane using the dot product. In what follows, the dot product will be denoted by. It is simplest to think of points as vectors, so that we can subtract them to get the vector from one point to another. (That way we avoid putting little hats over pairs of points to denote vectors, as we did in class. Mathematics is a process
6 of continual refinement and improvement!) We then make the following precise definition of congruence for segments: Definition. Segment P Q is congruent to segment RS if (and only if) (P Q) (P Q) = (R S) (R S). 0. Show that the dot product is linear in each coordinate; that is, if u, v, and w are vectors, and a and b are scalars (elements of F), then u (av+bw) = a(u v)+b(u w) and (au+bv) w = a(u w)+b(v w). We summarize these properties by saying that the dot product is bilinear. (Hint: it saves time to first show that the dot product is commutative: u v = v u.). Show that congruence, as defined above, is an equivalence relation. In particular, be sure to show that (P Q) (P Q) = (Q P ) (Q P ), which is necessary to prove reflexivity, since by BA segment P Q is equal to segment QP. We showed in class that Congruence Axiom is satisfied if and only if the field F is Pythagorean. Here are some concrete examples that put the Pythagorean property into practice, along with some further exercises on affine transformations.. Show that a point with positive x-coordinate exists at distance from the origin on the line y = x if and only if 4 F. (You showed on the first exam that, if F is Pythagorean, then 4 is indeed an element of F.). What are the coordinates of both points at distance from the point (, ) on the line y = x+ 7? 4. Using straightedge and compass, construct a Pythagorean spiral: Choose a unit segment. First construct a right triangle with legs of length. Its hypotenuse has length. Using the hypotenuse of this first triangle as one leg, construct a right triangle adjacent to the first whose other leg has length. The hypotenuse of the second triangle will have length. You can, of course, continue in this fashion indefinitely. Construct the first five triangles in the spiral. (Remark: In the Cartesian plane over a Pythagorean field, all of these points would be constructible. But if the field is not also Euclidean, there would be some straightedge and compass constructions that could not be done; that is, the points of intersection between some lines and circles would not really exist because their coordinates would not be in the field.) 5. The figure shows a unit square grid and some points, P, Q, and R. On graph paper, carefully draw the image of this grid and the images, P, Q, and R, of P, Q, and R under each linear transformation whose matrix is given below. P (a) R [ ] 0 Q [ ] (b) (c) [ 6. Which of the linear maps in Exercise 5 preserve congruence of segments? ] (d) [ 7. Which of the linear maps in Exercise 5 preserve congruence of angles? ] (e) [ ] 8. Let A = (, ), B = (4, ), and C = (, ). Let A = (, ), B = (, 4), and C = (, ). It should be evident that ABC = A B C. Give a formula for the affine transformation that takes A to A, B to B, and C to C. (We will show that this transformation is unique.)
Selected practice exam solutions (part 5, item 2) (MAT 360)
Selected practice exam solutions (part 5, item ) (MAT 360) Harder 8,91,9,94(smaller should be replaced by greater )95,103,109,140,160,(178,179,180,181 this is really one problem),188,193,194,195 8. On
More informationINCIDENCE-BETWEENNESS GEOMETRY
INCIDENCE-BETWEENNESS GEOMETRY MATH 410, CSUSM. SPRING 2008. PROFESSOR AITKEN This document covers the geometry that can be developed with just the axioms related to incidence and betweenness. The full
More informationSection 1.1. Introduction to R n
The Calculus of Functions of Several Variables Section. Introduction to R n Calculus is the study of functional relationships and how related quantities change with each other. In your first exposure to
More informationLinear Algebra Notes for Marsden and Tromba Vector Calculus
Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of
More informationPYTHAGOREAN TRIPLES KEITH CONRAD
PYTHAGOREAN TRIPLES KEITH CONRAD 1. Introduction A Pythagorean triple is a triple of positive integers (a, b, c) where a + b = c. Examples include (3, 4, 5), (5, 1, 13), and (8, 15, 17). Below is an ancient
More informationLesson 18: Looking More Carefully at Parallel Lines
Student Outcomes Students learn to construct a line parallel to a given line through a point not on that line using a rotation by 180. They learn how to prove the alternate interior angles theorem using
More informationalternate interior angles
alternate interior angles two non-adjacent angles that lie on the opposite sides of a transversal between two lines that the transversal intersects (a description of the location of the angles); alternate
More informationMathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More informationMODERN APPLICATIONS OF PYTHAGORAS S THEOREM
UNIT SIX MODERN APPLICATIONS OF PYTHAGORAS S THEOREM Coordinate Systems 124 Distance Formula 127 Midpoint Formula 131 SUMMARY 134 Exercises 135 UNIT SIX: 124 COORDINATE GEOMETRY Geometry, as presented
More informationChapter 17. Orthogonal Matrices and Symmetries of Space
Chapter 17. Orthogonal Matrices and Symmetries of Space Take a random matrix, say 1 3 A = 4 5 6, 7 8 9 and compare the lengths of e 1 and Ae 1. The vector e 1 has length 1, while Ae 1 = (1, 4, 7) has length
More informationwith functions, expressions and equations which follow in units 3 and 4.
Grade 8 Overview View unit yearlong overview here The unit design was created in line with the areas of focus for grade 8 Mathematics as identified by the Common Core State Standards and the PARCC Model
More information5.3 The Cross Product in R 3
53 The Cross Product in R 3 Definition 531 Let u = [u 1, u 2, u 3 ] and v = [v 1, v 2, v 3 ] Then the vector given by [u 2 v 3 u 3 v 2, u 3 v 1 u 1 v 3, u 1 v 2 u 2 v 1 ] is called the cross product (or
More informationMath 4310 Handout - Quotient Vector Spaces
Math 4310 Handout - Quotient Vector Spaces Dan Collins The textbook defines a subspace of a vector space in Chapter 4, but it avoids ever discussing the notion of a quotient space. This is understandable
More information12. Parallels. Then there exists a line through P parallel to l.
12. Parallels Given one rail of a railroad track, is there always a second rail whose (perpendicular) distance from the first rail is exactly the width across the tires of a train, so that the two rails
More informationTHREE DIMENSIONAL GEOMETRY
Chapter 8 THREE DIMENSIONAL GEOMETRY 8.1 Introduction In this chapter we present a vector algebra approach to three dimensional geometry. The aim is to present standard properties of lines and planes,
More informationChapter 4.1 Parallel Lines and Planes
Chapter 4.1 Parallel Lines and Planes Expand on our definition of parallel lines Introduce the idea of parallel planes. What do we recall about parallel lines? In geometry, we have to be concerned about
More informationA vector is a directed line segment used to represent a vector quantity.
Chapters and 6 Introduction to Vectors A vector quantity has direction and magnitude. There are many examples of vector quantities in the natural world, such as force, velocity, and acceleration. A vector
More informationGeometry Course Summary Department: Math. Semester 1
Geometry Course Summary Department: Math Semester 1 Learning Objective #1 Geometry Basics Targets to Meet Learning Objective #1 Use inductive reasoning to make conclusions about mathematical patterns Give
More informationNotes on Determinant
ENGG2012B Advanced Engineering Mathematics Notes on Determinant Lecturer: Kenneth Shum Lecture 9-18/02/2013 The determinant of a system of linear equations determines whether the solution is unique, without
More informationA Second Course in Mathematics Concepts for Elementary Teachers: Theory, Problems, and Solutions
A Second Course in Mathematics Concepts for Elementary Teachers: Theory, Problems, and Solutions Marcel B. Finan Arkansas Tech University c All Rights Reserved First Draft February 8, 2006 1 Contents 25
More informationElements of Plane Geometry by LK
Elements of Plane Geometry by LK These are notes indicating just some bare essentials of plane geometry and some problems to think about. We give a modified version of the axioms for Euclidean Geometry
More informationSo let us begin our quest to find the holy grail of real analysis.
1 Section 5.2 The Complete Ordered Field: Purpose of Section We present an axiomatic description of the real numbers as a complete ordered field. The axioms which describe the arithmetic of the real numbers
More informationSolutions to Practice Problems
Higher Geometry Final Exam Tues Dec 11, 5-7:30 pm Practice Problems (1) Know the following definitions, statements of theorems, properties from the notes: congruent, triangle, quadrilateral, isosceles
More informationPOTENTIAL REASONS: Definition of Congruence:
Sec 6 CC Geometry Triangle Pros Name: POTENTIAL REASONS: Definition Congruence: Having the exact same size and shape and there by having the exact same measures. Definition Midpoint: The point that divides
More informationProperties of Real Numbers
16 Chapter P Prerequisites P.2 Properties of Real Numbers What you should learn: Identify and use the basic properties of real numbers Develop and use additional properties of real numbers Why you should
More informationDecember 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B. KITCHENS
December 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B KITCHENS The equation 1 Lines in two-dimensional space (1) 2x y = 3 describes a line in two-dimensional space The coefficients of x and y in the equation
More informationVector Math Computer Graphics Scott D. Anderson
Vector Math Computer Graphics Scott D. Anderson 1 Dot Product The notation v w means the dot product or scalar product or inner product of two vectors, v and w. In abstract mathematics, we can talk about
More informationIncenter Circumcenter
TRIANGLE: Centers: Incenter Incenter is the center of the inscribed circle (incircle) of the triangle, it is the point of intersection of the angle bisectors of the triangle. The radius of incircle is
More informationa 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.
Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given
More informationNumerical Analysis Lecture Notes
Numerical Analysis Lecture Notes Peter J. Olver 5. Inner Products and Norms The norm of a vector is a measure of its size. Besides the familiar Euclidean norm based on the dot product, there are a number
More informationMATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.
MATH10212 Linear Algebra Textbook: D. Poole, Linear Algebra: A Modern Introduction. Thompson, 2006. ISBN 0-534-40596-7. Systems of Linear Equations Definition. An n-dimensional vector is a row or a column
More informationDEFINITIONS. Perpendicular Two lines are called perpendicular if they form a right angle.
DEFINITIONS Degree A degree is the 1 th part of a straight angle. 180 Right Angle A 90 angle is called a right angle. Perpendicular Two lines are called perpendicular if they form a right angle. Congruent
More informationNOTES ON LINEAR TRANSFORMATIONS
NOTES ON LINEAR TRANSFORMATIONS Definition 1. Let V and W be vector spaces. A function T : V W is a linear transformation from V to W if the following two properties hold. i T v + v = T v + T v for all
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,
More informationFigure 1.1 Vector A and Vector F
CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have
More informationMathematics Geometry Unit 1 (SAMPLE)
Review the Geometry sample year-long scope and sequence associated with this unit plan. Mathematics Possible time frame: Unit 1: Introduction to Geometric Concepts, Construction, and Proof 14 days This
More informationGEOMETRY. Constructions OBJECTIVE #: G.CO.12
GEOMETRY Constructions OBJECTIVE #: G.CO.12 OBJECTIVE Make formal geometric constructions with a variety of tools and methods (compass and straightedge, string, reflective devices, paper folding, dynamic
More informationGeorgia Standards of Excellence Curriculum Map. Mathematics. GSE 8 th Grade
Georgia Standards of Excellence Curriculum Map Mathematics GSE 8 th Grade These materials are for nonprofit educational purposes only. Any other use may constitute copyright infringement. GSE Eighth Grade
More informationVector Notation: AB represents the vector from point A to point B on a graph. The vector can be computed by B A.
1 Linear Transformations Prepared by: Robin Michelle King A transformation of an object is a change in position or dimension (or both) of the object. The resulting object after the transformation is called
More informationExample SECTION 13-1. X-AXIS - the horizontal number line. Y-AXIS - the vertical number line ORIGIN - the point where the x-axis and y-axis cross
CHAPTER 13 SECTION 13-1 Geometry and Algebra The Distance Formula COORDINATE PLANE consists of two perpendicular number lines, dividing the plane into four regions called quadrants X-AXIS - the horizontal
More informationNotes from February 11
Notes from February 11 Math 130 Course web site: www.courses.fas.harvard.edu/5811 Two lemmas Before proving the theorem which was stated at the end of class on February 8, we begin with two lemmas. The
More informationa.) Write the line 2x - 4y = 9 into slope intercept form b.) Find the slope of the line parallel to part a
Bellwork a.) Write the line 2x - 4y = 9 into slope intercept form b.) Find the slope of the line parallel to part a c.) Find the slope of the line perpendicular to part b or a May 8 7:30 AM 1 Day 1 I.
More information6. Vectors. 1 2009-2016 Scott Surgent (surgent@asu.edu)
6. Vectors For purposes of applications in calculus and physics, a vector has both a direction and a magnitude (length), and is usually represented as an arrow. The start of the arrow is the vector s foot,
More informationThe Dot and Cross Products
The Dot and Cross Products Two common operations involving vectors are the dot product and the cross product. Let two vectors =,, and =,, be given. The Dot Product The dot product of and is written and
More informationSolution to Homework 2
Solution to Homework 2 Olena Bormashenko September 23, 2011 Section 1.4: 1(a)(b)(i)(k), 4, 5, 14; Section 1.5: 1(a)(b)(c)(d)(e)(n), 2(a)(c), 13, 16, 17, 18, 27 Section 1.4 1. Compute the following, if
More informationFactoring Patterns in the Gaussian Plane
Factoring Patterns in the Gaussian Plane Steve Phelps Introduction This paper describes discoveries made at the Park City Mathematics Institute, 00, as well as some proofs. Before the summer I understood
More information1 VECTOR SPACES AND SUBSPACES
1 VECTOR SPACES AND SUBSPACES What is a vector? Many are familiar with the concept of a vector as: Something which has magnitude and direction. an ordered pair or triple. a description for quantities such
More information9.4. The Scalar Product. Introduction. Prerequisites. Learning Style. Learning Outcomes
The Scalar Product 9.4 Introduction There are two kinds of multiplication involving vectors. The first is known as the scalar product or dot product. This is so-called because when the scalar product of
More informationMA 408 Computer Lab Two The Poincaré Disk Model of Hyperbolic Geometry. Figure 1: Lines in the Poincaré Disk Model
MA 408 Computer Lab Two The Poincaré Disk Model of Hyperbolic Geometry Put your name here: Score: Instructions: For this lab you will be using the applet, NonEuclid, created by Castellanos, Austin, Darnell,
More informationLinear Algebra I. Ronald van Luijk, 2012
Linear Algebra I Ronald van Luijk, 2012 With many parts from Linear Algebra I by Michael Stoll, 2007 Contents 1. Vector spaces 3 1.1. Examples 3 1.2. Fields 4 1.3. The field of complex numbers. 6 1.4.
More informationGeometry 1. Unit 3: Perpendicular and Parallel Lines
Geometry 1 Unit 3: Perpendicular and Parallel Lines Geometry 1 Unit 3 3.1 Lines and Angles Lines and Angles Parallel Lines Parallel lines are lines that are coplanar and do not intersect. Some examples
More informationISOMETRIES OF R n KEITH CONRAD
ISOMETRIES OF R n KEITH CONRAD 1. Introduction An isometry of R n is a function h: R n R n that preserves the distance between vectors: h(v) h(w) = v w for all v and w in R n, where (x 1,..., x n ) = x
More informationOne advantage of this algebraic approach is that we can write down
. Vectors and the dot product A vector v in R 3 is an arrow. It has a direction and a length (aka the magnitude), but the position is not important. Given a coordinate axis, where the x-axis points out
More informationUnified Lecture # 4 Vectors
Fall 2005 Unified Lecture # 4 Vectors These notes were written by J. Peraire as a review of vectors for Dynamics 16.07. They have been adapted for Unified Engineering by R. Radovitzky. References [1] Feynmann,
More information28 CHAPTER 1. VECTORS AND THE GEOMETRY OF SPACE. v x. u y v z u z v y u y u z. v y v z
28 CHAPTER 1. VECTORS AND THE GEOMETRY OF SPACE 1.4 Cross Product 1.4.1 Definitions The cross product is the second multiplication operation between vectors we will study. The goal behind the definition
More informationVectors Math 122 Calculus III D Joyce, Fall 2012
Vectors Math 122 Calculus III D Joyce, Fall 2012 Vectors in the plane R 2. A vector v can be interpreted as an arro in the plane R 2 ith a certain length and a certain direction. The same vector can be
More informationOrthogonal Projections
Orthogonal Projections and Reflections (with exercises) by D. Klain Version.. Corrections and comments are welcome! Orthogonal Projections Let X,..., X k be a family of linearly independent (column) vectors
More informationdiscuss how to describe points, lines and planes in 3 space.
Chapter 2 3 Space: lines and planes In this chapter we discuss how to describe points, lines and planes in 3 space. introduce the language of vectors. discuss various matters concerning the relative position
More informationGeometric Transformations
Geometric Transformations Definitions Def: f is a mapping (function) of a set A into a set B if for every element a of A there exists a unique element b of B that is paired with a; this pairing is denoted
More informationJust the Factors, Ma am
1 Introduction Just the Factors, Ma am The purpose of this note is to find and study a method for determining and counting all the positive integer divisors of a positive integer Let N be a given positive
More informationSolving Systems of Linear Equations
LECTURE 5 Solving Systems of Linear Equations Recall that we introduced the notion of matrices as a way of standardizing the expression of systems of linear equations In today s lecture I shall show how
More informationMatrix Representations of Linear Transformations and Changes of Coordinates
Matrix Representations of Linear Transformations and Changes of Coordinates 01 Subspaces and Bases 011 Definitions A subspace V of R n is a subset of R n that contains the zero element and is closed under
More informationTrigonometric Functions and Triangles
Trigonometric Functions and Triangles Dr. Philippe B. Laval Kennesaw STate University August 27, 2010 Abstract This handout defines the trigonometric function of angles and discusses the relationship between
More informationCommon Core Unit Summary Grades 6 to 8
Common Core Unit Summary Grades 6 to 8 Grade 8: Unit 1: Congruence and Similarity- 8G1-8G5 rotations reflections and translations,( RRT=congruence) understand congruence of 2 d figures after RRT Dilations
More informationInversion. Chapter 7. 7.1 Constructing The Inverse of a Point: If P is inside the circle of inversion: (See Figure 7.1)
Chapter 7 Inversion Goal: In this chapter we define inversion, give constructions for inverses of points both inside and outside the circle of inversion, and show how inversion could be done using Geometer
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS Systems of Equations and Matrices Representation of a linear system The general system of m equations in n unknowns can be written a x + a 2 x 2 + + a n x n b a
More informationMATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m
MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS 1. SYSTEMS OF EQUATIONS AND MATRICES 1.1. Representation of a linear system. The general system of m equations in n unknowns can be written a 11 x 1 + a 12 x 2 +
More informationSolving Simultaneous Equations and Matrices
Solving Simultaneous Equations and Matrices The following represents a systematic investigation for the steps used to solve two simultaneous linear equations in two unknowns. The motivation for considering
More information9 Multiplication of Vectors: The Scalar or Dot Product
Arkansas Tech University MATH 934: Calculus III Dr. Marcel B Finan 9 Multiplication of Vectors: The Scalar or Dot Product Up to this point we have defined what vectors are and discussed basic notation
More informationNew York State Student Learning Objective: Regents Geometry
New York State Student Learning Objective: Regents Geometry All SLOs MUST include the following basic components: Population These are the students assigned to the course section(s) in this SLO all students
More informationα = u v. In other words, Orthogonal Projection
Orthogonal Projection Given any nonzero vector v, it is possible to decompose an arbitrary vector u into a component that points in the direction of v and one that points in a direction orthogonal to v
More informationVocabulary. Term Page Definition Clarifying Example. biconditional statement. conclusion. conditional statement. conjecture.
CHAPTER Vocabulary The table contains important vocabulary terms from Chapter. As you work through the chapter, fill in the page number, definition, and a clarifying example. biconditional statement conclusion
More informationParallel and Perpendicular. We show a small box in one of the angles to show that the lines are perpendicular.
CONDENSED L E S S O N. Parallel and Perpendicular In this lesson you will learn the meaning of parallel and perpendicular discover how the slopes of parallel and perpendicular lines are related use slopes
More informationYou know from calculus that functions play a fundamental role in mathematics.
CHPTER 12 Functions You know from calculus that functions play a fundamental role in mathematics. You likely view a function as a kind of formula that describes a relationship between two (or more) quantities.
More informationTangent circles in the hyperbolic disk
Rose- Hulman Undergraduate Mathematics Journal Tangent circles in the hyperbolic disk Megan Ternes a Volume 14, No. 1, Spring 2013 Sponsored by Rose-Hulman Institute of Technology Department of Mathematics
More informationSection 8.8. 1. The given line has equations. x = 3 + t(13 3) = 3 + 10t, y = 2 + t(3 + 2) = 2 + 5t, z = 7 + t( 8 7) = 7 15t.
. The given line has equations Section 8.8 x + t( ) + 0t, y + t( + ) + t, z 7 + t( 8 7) 7 t. The line meets the plane y 0 in the point (x, 0, z), where 0 + t, or t /. The corresponding values for x and
More informationProposition 4: SAS Triangle Congruence
Proposition 4: SAS Triangle Congruence The method of proof used in this proposition is sometimes called "superposition." It apparently is not a method that Euclid prefers since he so rarely uses it, only
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationGeometry - Semester 2. Mrs. Day-Blattner 1/20/2016
Geometry - Semester 2 Mrs. Day-Blattner 1/20/2016 Agenda 1/20/2016 1) 20 Question Quiz - 20 minutes 2) Jan 15 homework - self-corrections 3) Spot check sheet Thales Theorem - add to your response 4) Finding
More informationv w is orthogonal to both v and w. the three vectors v, w and v w form a right-handed set of vectors.
3. Cross product Definition 3.1. Let v and w be two vectors in R 3. The cross product of v and w, denoted v w, is the vector defined as follows: the length of v w is the area of the parallelogram with
More information3. Mathematical Induction
3. MATHEMATICAL INDUCTION 83 3. Mathematical Induction 3.1. First Principle of Mathematical Induction. Let P (n) be a predicate with domain of discourse (over) the natural numbers N = {0, 1,,...}. If (1)
More information9 MATRICES AND TRANSFORMATIONS
9 MATRICES AND TRANSFORMATIONS Chapter 9 Matrices and Transformations Objectives After studying this chapter you should be able to handle matrix (and vector) algebra with confidence, and understand the
More informationPROJECTIVE GEOMETRY. b3 course 2003. Nigel Hitchin
PROJECTIVE GEOMETRY b3 course 2003 Nigel Hitchin hitchin@maths.ox.ac.uk 1 1 Introduction This is a course on projective geometry. Probably your idea of geometry in the past has been based on triangles
More informationSimilarity and Diagonalization. Similar Matrices
MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that
More informationThnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks
Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks Welcome to Thinkwell s Homeschool Precalculus! We re thrilled that you ve decided to make us part of your homeschool curriculum. This lesson
More informationEquations Involving Lines and Planes Standard equations for lines in space
Equations Involving Lines and Planes In this section we will collect various important formulas regarding equations of lines and planes in three dimensional space Reminder regarding notation: any quantity
More informationSet 4: Special Congruent Triangles Instruction
Instruction Goal: To provide opportunities for students to develop concepts and skills related to proving right, isosceles, and equilateral triangles congruent using real-world problems Common Core Standards
More informationAlgebra Geometry Glossary. 90 angle
lgebra Geometry Glossary 1) acute angle an angle less than 90 acute angle 90 angle 2) acute triangle a triangle where all angles are less than 90 3) adjacent angles angles that share a common leg Example:
More informationCurriculum Map by Block Geometry Mapping for Math Block Testing 2007-2008. August 20 to August 24 Review concepts from previous grades.
Curriculum Map by Geometry Mapping for Math Testing 2007-2008 Pre- s 1 August 20 to August 24 Review concepts from previous grades. August 27 to September 28 (Assessment to be completed by September 28)
More informationGeometry: Unit 1 Vocabulary TERM DEFINITION GEOMETRIC FIGURE. Cannot be defined by using other figures.
Geometry: Unit 1 Vocabulary 1.1 Undefined terms Cannot be defined by using other figures. Point A specific location. It has no dimension and is represented by a dot. Line Plane A connected straight path.
More informationAnswer Key for California State Standards: Algebra I
Algebra I: Symbolic reasoning and calculations with symbols are central in algebra. Through the study of algebra, a student develops an understanding of the symbolic language of mathematics and the sciences.
More informationFURTHER VECTORS (MEI)
Mathematics Revision Guides Further Vectors (MEI) (column notation) Page of MK HOME TUITION Mathematics Revision Guides Level: AS / A Level - MEI OCR MEI: C FURTHER VECTORS (MEI) Version : Date: -9-7 Mathematics
More informationDefinitions, Postulates and Theorems
Definitions, s and s Name: Definitions Complementary Angles Two angles whose measures have a sum of 90 o Supplementary Angles Two angles whose measures have a sum of 180 o A statement that can be proven
More informationNumber Sense and Operations
Number Sense and Operations representing as they: 6.N.1 6.N.2 6.N.3 6.N.4 6.N.5 6.N.6 6.N.7 6.N.8 6.N.9 6.N.10 6.N.11 6.N.12 6.N.13. 6.N.14 6.N.15 Demonstrate an understanding of positive integer exponents
More informationPerformance Based Learning and Assessment Task Triangles in Parallelograms I. ASSESSSMENT TASK OVERVIEW & PURPOSE: In this task, students will
Performance Based Learning and Assessment Task Triangles in Parallelograms I. ASSESSSMENT TASK OVERVIEW & PURPOSE: In this task, students will discover and prove the relationship between the triangles
More informationDigitalCommons@University of Nebraska - Lincoln
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln MAT Exam Expository Papers Math in the Middle Institute Partnership 7-1-007 Pythagorean Triples Diane Swartzlander University
More informationSection 10.4 Vectors
Section 10.4 Vectors A vector is represented by using a ray, or arrow, that starts at an initial point and ends at a terminal point. Your textbook will always use a bold letter to indicate a vector (such
More information1 Symmetries of regular polyhedra
1230, notes 5 1 Symmetries of regular polyhedra Symmetry groups Recall: Group axioms: Suppose that (G, ) is a group and a, b, c are elements of G. Then (i) a b G (ii) (a b) c = a (b c) (iii) There is an
More information1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v,
1.3. DOT PRODUCT 19 1.3 Dot Product 1.3.1 Definitions and Properties The dot product is the first way to multiply two vectors. The definition we will give below may appear arbitrary. But it is not. It
More informationBiggar High School Mathematics Department. National 5 Learning Intentions & Success Criteria: Assessing My Progress
Biggar High School Mathematics Department National 5 Learning Intentions & Success Criteria: Assessing My Progress Expressions & Formulae Topic Learning Intention Success Criteria I understand this Approximation
More information