An analytic proof of the theorems of Pappus and Desargues
|
|
- Nora McDowell
- 5 years ago
- Views:
Transcription
1 Note di Matematica 22, n. 1, 2003, An analtic proof of the theorems of Pappus and Desargues Erwin Kleinfeld and Tuong Ton-That Department of Mathematics, The Universit of Iowa, Iowa Cit, IA 52242, USA Received: 3/9/2003; accepted: 3/9/2003. Abstract. In this article we give an analtic proof of Pappus theorem and an analtic proof of Desargues theorem over a not necessaril commutative field. Kewords: analtic proofs, Pappus theorem, Desargues theorem, not necessaril commutative field. MSC 2000 classification: 51A30, 51A05. Introduction In this article we give an analtic proof of Pappus theorem and an analtic proof of Desargues theorem over a not necessaril commutative field. Both are listed as eercises in [4, p. 76 and p. 78]. The original version of Pappus theorem appeared in Pappus Συναγωγή or Collection (see, e.g., [2, pp ]). The original version of Desargues theorem appeared in A. Bosse s La Perspective de Mr. Desargues (Paris 1648, p. 340) as the First Geometrical Proposition (see also [1, Chapter VIII]). We refer to [3] for an ecellent comprehensive historical surve of these two theorems. 1 An Analtic Proof of Pappus Theorem For the terminolog and fundamental facts used in our proof we refer to [4]. Let K be a commutative field. Then the projective plane P 2 (K) is defined as the quotient of K 3 \ {0} b the equivalence relation : X, Y K 3 \ {0}, X Y if λ 0 in K such that Y = λx. Let π : K 3 \ {0} P 2 (K) denote the canonical projection, then a point P = π P 2 (K) is represented b the vector in three-space, not all
2 100 E. Kleinfeld, T. Ton-That,, = 0, and for λ 0 the vector abuse of language we identif P with λ λ λ represents the same point P. B and write P = if there is no possible confusion. We also call,, the homogeneous coordinates of P. Since an equation of a plane P in K 3 passing through the origin is of the form a + b + c = 0, not all a, b, c = 0, we sa that π (P \ {0}) is a line in P 2 (K). Thus a line l in P 2 (K) is the equivalence class of the row [ a b c ] and for λ 0 the row [ λa λb λc ] represents the same line l. We again identif the line l with the row [ a b c ] and call a, b, c the homogeneous coordinates of l. We see that a point P P 2 (K) lies on a line l P 2 (K) if and onl if [ a b ] c = a + b + c = 0. It can easil be shown that ever line is incident with at least three points. Also since we can find two triples of numbers [a, b, c], [,, ] such that a+b +c 0, we are assured that there eist a point and a line not incident. Further, using the theor of sets of linear homogeneous equations, we can prove that an two points are incident with one and onl one line. Then, appealing to the dualit of the definitions of point and line, it can be shown that an two distinct lines intersect in a unique point. The following Lemma 3 is an immediate consequence of the following two theorems on pages 73 and 74 of [4]. 1 Theorem. If P 1 2 3, P numbers i + λ i, i = 1, 2, 3, are not all = 0, and P with the first two points. are distinct points, then for an λ the 1 + λ λ λ 3 is collinear 2 Theorem. If X, Y, Z are coordinates of three distinct collinear points, then there eist λ, µ such that Z = λx + µy. 3 Lemma. Three distinct points P 1, P 2, P 3 P 2 (K) are collinear if and onl if for an one of these points, sa P 3, there eist nonero scalars λ, µ K
3 An analtic proof of the theorems of Pappus and Desargues 101 such that P 3 = λp 1 + µp 2. It follows that P 1, P 2, P 3 are collinear if and onl if [P 1, P 2, P 3 ] = 0, where [P 1, P 2, P 3 ] denotes the determinant formed b their coordinates. 4 Lemma. Let P 1, P 2, P 3 be noncollinear points of P 2 (K). If Q = a 1 P 1 + a 2 P 2 + a 3 P 3, R = b 1 P 1 + b 2 P 2 + b 3 P 3, and S = c 1 P 1 + c 2 P 2 + c 3 P 3 are points of P 2 (K), then Q, R, S are collinear if and onl if a 1 a 2 a 3 b 1 b 2 b 3 c 1 c 2 c 3 = 0. Proof. Let i, i, i denote the homogeneous coordinates of P i, i = 1, 2, 3. We have [Q, R, S] = [a 1 P 1 + a 2 P 2 + a 3 P 3, b 1 P 1 + b 2 P 2 + b 3 P 3, c 1 P 1 + c 2 P 2 + c 3 P 3 ] = [a 1 P 1, b 2 P 2, c 3 P 3 ] + [a 1 P 1, b 3 P 3, c 2 P 2 ] + [a 2 P 2, b 1 P 1, c 3 P 3 ] + [a 2 P 2, b 3 P 3, c 1 P 1 ] + [a 3 P 3, b 1 P 1, c 2 P 2 ] + [a 3 P 3, b 2 P 2, c 1 P 1 ] = (a 1 b 2 c 3 a 1 b 3 c 2 a 2 b 1 c 3 + a 2 b 3 c 1 + a 3 b 1 c 2 a 3 b 2 c 1 ) [P 1, P 2, P 3 ] a 1 a 2 a 3 = b 1 b 2 b 3 c 1 c 2 c 3 [P 1, P 2, P 3 ]. The lemma follows from Lemma 3 and the assumption that P 1, P 2, P 3 are noncollinear. 5 Theorem. (Pappus) Let l and l be two distinct lines of P 2 (K), intersecting at a point O. Let A, B, E be three distinct points on l and C, D, F three distinct points on l such that each of these si points is different from O. Let P be the intersection of the lines AD and CB, Q the intersection of AF and CE, and R the intersection of BF and DE. Then P, Q, R are collinear. E B A Q R O P C D F (Figure 1)
4 102 E. Kleinfeld, T. Ton-That Proof. In drawing Pappus configuration, we represent the points A, B, and E as vectors in three-space (using homogeneous coordinates). We use the same letters A, B, and E to represent the vectors. B Lemma 3, for A, B, and E to be collinear it is necessar and sufficient that there eist nonero scalars s and t such that E = sa + tb. Since we are free to represent the point A b an nonero scalar multiple of the vector A, we choose to represent it b sa, and similarl we represent the point B b tb. Now we rename the vector sa as A and the vector tb as B. Thus we have the vector equation E = A + B in this notation. B the same reasoning there eist vectors C and D, such that C represents the point C, D represents the point D, and C + D represents the point F. Since A, B, O are distinct collinear points, and C, D, O are also distinct collinear points, there eist b Lemma 3 nonero scalars a, b, c, d such that O = aa + bb = cc + dd. (1) Since E is different from O we must have a b, and since F is different from O we must have c d. From (1) we get the relation aa dd = cc bb. (2) B Lemma 3, (2) represents a point which is on both the lines AD and BC, and this intersection is named P. From (1) we also get (a b) A d (C + D) = (c d) C b (A + B), (3) which is equivalent to the equation (a b) A df = (c d) C be. (3) Since a b, c d, d, and b are nonero scalars, Lemma 3 implies that (3) represents a point which is on both the lines AF and EC. This intersection is named Q. From (1) it follows that (b a) B c (C + D) = (d c) D a (A + B) (4) which is equivalent to the equation (b a) B cf = (d c) D ae. (4) Lemma 3 implies that (4) represents a point that is on both the lines BF and DE. This intersection is named R. B multipling (1) b the nonero scalar b we obtain aba + b 2 B bcc bdd = 0. (5)
5 An analtic proof of the theorems of Pappus and Desargues 103 Using the right-hand side of (3), we ma represent Q b ba bb + (c d) C which is equivalent to aba abb + (ac ad) C since a is different from 0. Adding the ero vector given b (5) to this representation of Q, we obtain the following representation of Q. Q: ( b 2 ab ) B + (ac ad bc) C (bd) D. (6) To prove that P, Q, and R are collinear we use (2), (6), and (4) to obtain the following representations: P : bb ( + cc, Q: b 2 ab ) B + (ac ad bc) C (bd) D, (7) R: (b a) B cc cd. Since B, C, and D are noncollinear points of P 2 (K), Lemma 4 implies that a necessar and sufficient condition for the points P, Q, and R to be collinear is that the determinant b c 0 b 2 ab ac ad bc bd b a c c = 0. An eas calculation confirms that this determinant is ero. It is well known that Pappus theorem implies the commutativit of the multiplication in the field K of segment arithmetic (see the discussion in [3] and a proof of this fact in [4, pp ], for eample). It is also well known (see [5]) that Pappus theorem implies Desargues theorem, but the converse is not true when the field K is not commutative. In [4, p. 75], Seidenberg gave a simple analtic proof of Desargues theorem when K is commutative; in the net section we adapt his proof to the case where the field K is not necessaril commutative. 2 Desargues Theorem over a Not Necessaril Commutative Field For terminolog, definitions, and basic facts, we refer to [4, Chapter III]. Let K be a not necessaril commutative field, i.e., we do not assume the rule ab = ba for all a, b K (if ab ba for some a, b K then K is called a noncommutative, or skew, field). If K is a not necessaril commutative field then the following hold: There is one and onl one element e K such that ae = ea for all a K. Such an element e is called the multiplicative neutral element of K.
6 104 E. Kleinfeld, T. Ton-That For ever a 0 in K there eists one and onl one element a K such that aa = a a = e. This element is called the inverse of a. The equation a = b, a 0, has one and onl one solution, namel = a b. Similarl, the equation a = b, a 0, has one and onl one solution, namel = ba. We now define the projective plane P 2 (K) b representing a point P P 2 (K) b a column vector, not all,, = 0 in K, and such that for λ λ 0 in K, λ λ represents the same point P. λ We identif P with. Similarl we represent a line l of P 2 (K) b a row vector [ a b c ], not all a, b, c = 0 in K, and such that for µ 0 in K, µ [ a b c ] [ µa µb µc ] represents the same line l. Again we identif the line l with the vector [ a b c ]. Then we see that P lies on l if and onl if for λ, µ 0 µ [ a b c ] 6 Lemma. If P 1 = λ = µaλ + µbλ + µcλ = µ (a + b + c) λ = and P 2 = are distinct points of P 2 (K) then for λ 1, λ 2 not both ero scalars, the point P 1 λ 1 + P 2 λ 2 lies on the line through P 2 and P 2. Proof. Obvious. 7 Lemma. If P 1, P 2, and P 3 are three distinct collinear points of P 2 (K), then for an one of these points, sa P 3, there eist nonero scalars λ, µ K such that P 3 = P 1 λ + P 2 µ. Proof. Let i, i, i be homogeneous coordinates of P i, i = 1, 2, 3. Since not all 1, 1, 1 equal ero we ma assume without loss of generalit that 1 0. Let l ( a b c ) be the line passing through P 1, P 2, and P 3. Then we have the sstem a 1 + b 1 + c 1 = 0, a 2 + b 2 + c 2 = 0, (8) a 3 + b 3 + c 3 = 0.
7 An analtic proof of the theorems of Pappus and Desargues 105 ( The equations 2 = 1 1 ) ( 2, 2 = 1 1 ) ( 2, and 2 = 1 1 2) cannot be all possible, for if 2 = 0 then 2 = 2 = 0 which is ecluded, and if 2 0 then and this would impl that ( P 1 and P 2 coincide, contradicting our hpothesis. Since obviousl 2 = 1 ( 1 2), we ma assume without loss of generalit that ). Now let us consider the sstem of linear equations with unknowns λ and µ { 1 λ + 2 µ = 3, (9) 1 λ + 2 µ = 3. Multipling (to the left) the first equation of (9) b 1 1 and subtracting the result from the second, we get ( ) 2 µ = Since we get µ = ( ) ( ). From the first equation of (9) we get 1 λ = 3 2 µ. Since 1 0 we obtain λ = 1 ( 3 2 µ). Thus the sstem (9) can be solved for λ and µ. Multipling (to the right) the first equation of the sstem (8) b λ, the second b µ, and subtracting their sum from the last, we get a [ 3 ( 1 λ + 2 µ)] + b [ 3 ( 1 λ + 2 µ)] + c [ 3 ( 1 λ + 2 µ)] = 0. Since λ and µ are solutions of the sstem (9), the latter is reduced to c [ 3 ( 1 λ + 2 µ)] = 0. Assuming that c 0, we then obtain the equation 1 λ+ 2 µ = 3, which together with the sstem (9) implies that P 3 = P 1 λ + P 2 µ. And since b hpothesis P 3 is distinct from P 1 and P 2, λ and µ must be different from 0. Thus it remains to show that c 0 to achieve the proof of the lemma. But if c = 0 then the sstem (8) is reduced to a 1 + b 1 = 0, a 2 + b 2 = 0, a 3 + b 3 = 0. (10) Multipling (to the right) the first equation of the sstem (10) b 1 2 and subtracting the result from the second, we get b ( ) = 0. Since , we get b = 0. But then the sstem (10) is reduced to a 1 = 0, a 2 = 0, and a 3 = 0. Since 1 0, we get a = 0. Thus a = b = c = 0, which is not possible b the definition of the line l. 8 Theorem. (Desargues) If two triangles ABC and A B C are in perspective from a point O distinct from the si points A, B, C, A, B, C (i.e., the joins of A and A, B and B, C and C intersect at O) then the intersections P : AB A B, Q: AC A C, and R: BC B C lie on a line.
8 106 E. Kleinfeld, T. Ton-That Q C O C P B R B A A (Figure 2) Proof. It follows from the hpothesis and Lemma 7 that O = Aa + A a = Bb + B b = Cc + C c, (11) for some nonero scalars a, a, b, b, c, c K. From (11) we deduce that Aa Bb = A a + B b, Aa Cc = A a + C c, Bb Cc = B b + C c. Since = ( ) for all, K, (12) is equivalent to Aa + B ( b) = A ( a ) + B b, Aa + C ( c) = A ( a ) + C c, Bb + C ( c) = B ( b ) + C c. (12) (12) It follows from Lemmas 6 and 7 that the first equation of (12) represents the intersection P of AB and A B, the second represents Q, and the third represents R. But then we obviousl have Q = P + R, and b Lemma 6, P, Q, R are collinear. References [1] J. V. Field, J. J. Gra: The geometrical work of Girard Desargues, Springer-Verlag, New York [2] A. Jones: Pappus of Aleandria, book 7 of the collection, Springer-Verlag, New York [3] E. A. Marchisotto: The theorem of Pappus: a bridge between algebra and geometr, Amer. Math. Monthl, 109 (2002), n. 6, [4] A. Seidenberg: Lectures in projective geometr, D. Van Nostrand Compan, Princeton [5] A. Seidenberg: Pappus implies Desargues, Amer. Math. Monthl, 83 (1976), n. 3,
THE THEOREM OF DESARGUES
THE THEOREM OF DESARGUES TIMOTHY VIS 1. Introduction In this worksheet we will be exploring some proofs surrounding the Theorem of Desargues. This theorem plays an extremely important role in projective
More informationFor more information visit here:
The length or the magnitude of the vector = (a, b, c) is defined by w = a 2 +b 2 +c 2 A vector may be divided by its own length to convert it into a unit vector, i.e.? = u / u. (The vectors have been denoted
More informationPower Round: Geometry Revisited
Power Round: Geometry Revisited Stobaeus (one of Euclid s students): But what shall I get by learning these things? Euclid to his slave: Give him three pence, since he must make gain out of what he learns.
More information4 Arithmetic of Segments Hilbert s Road from Geometry
4 Arithmetic of Segments Hilbert s Road from Geometry to Algebra In this section, we explain Hilbert s procedure to construct an arithmetic of segments, also called Streckenrechnung. Hilbert constructs
More informationVECTORS IN THREE DIMENSIONS
1 CHAPTER 2. BASIC TRIGONOMETRY 1 INSTITIÚID TEICNEOLAÍOCHTA CHEATHARLACH INSTITUTE OF TECHNOLOGY CARLOW VECTORS IN THREE DIMENSIONS 1 Vectors in Two Dimensions A vector is an object which has magnitude
More information8. BOOLEAN ALGEBRAS x x
8. BOOLEAN ALGEBRAS 8.1. Definition of a Boolean Algebra There are man sstems of interest to computing scientists that have a common underling structure. It makes sense to describe such a mathematical
More informationOn Pappus configuration in non-commutative projective geometry
Linear Algebra and its Applications 331 (2001) 203 209 www.elsevier.com/locate/laa On Pappus configuration in non-commutative projective geometry Giorgio Donati Dipartimento di Matematica della, Seconda
More informationNeutral Geometry. October 25, c 2009 Charles Delman
Neutral Geometry October 25, 2009 c 2009 Charles Delman Taking Stock: where we have been; where we are going Set Theory & Logic Terms of Geometry: points, lines, incidence, betweenness, congruence. Incidence
More informationChapter 1 Coordinates, points and lines
Cambridge Universit Press 978--36-6000-7 Cambridge International AS and A Level Mathematics: Pure Mathematics Coursebook Hugh Neill, Douglas Quadling, Julian Gilbe Ecerpt Chapter Coordinates, points and
More informationDefinitions, Axioms, Postulates, Propositions, and Theorems from Euclidean and Non-Euclidean Geometries by Marvin Jay Greenberg ( )
Definitions, Axioms, Postulates, Propositions, and Theorems from Euclidean and Non-Euclidean Geometries by Marvin Jay Greenberg (2009-03-26) Logic Rule 0 No unstated assumptions may be used in a proof.
More informationPrepared by: M. S. KumarSwamy, TGT(Maths) Page
Prepared by: M S KumarSwamy, TGT(Maths) Page - 119 - CHAPTER 10: VECTOR ALGEBRA QUICK REVISION (Important Concepts & Formulae) MARKS WEIGHTAGE 06 marks Vector The line l to the line segment AB, then a
More informationCoordinates for Projective Planes
Chapter 8 Coordinates for Projective Planes Math 4520, Fall 2017 8.1 The Affine plane We now have several eamples of fields, the reals, the comple numbers, the quaternions, and the finite fields. Given
More informationGet Solution of These Packages & Learn by Video Tutorials on Matrices
FEE Download Stud Package from website: wwwtekoclassescom & wwwmathsbsuhagcom Get Solution of These Packages & Learn b Video Tutorials on wwwmathsbsuhagcom Matrices An rectangular arrangement of numbers
More information(RC3) Constructing the point which is the intersection of two existing, non-parallel lines.
The mathematical theory of ruller and compass constructions consists on performing geometric operation with a ruler and a compass. Any construction starts with two given points, or equivalently a segment
More informationIdentifying second degree equations
Chapter 7 Identifing second degree equations 71 The eigenvalue method In this section we appl eigenvalue methods to determine the geometrical nature of the second degree equation a 2 + 2h + b 2 + 2g +
More informationMATH 532, 736I: MODERN GEOMETRY
MATH 532, 736I: MODERN GEOMETRY Test 2, Spring 2013 Show All Work Name Instructions: This test consists of 5 pages (one is an information page). Put your name at the top of this page and at the top of
More informationInternational Examinations. Advanced Level Mathematics Pure Mathematics 1 Hugh Neill and Douglas Quadling
International Eaminations Advanced Level Mathematics Pure Mathematics Hugh Neill and Douglas Quadling PUBLISHED BY THE PRESS SYNDICATE OF THE UNIVERSITY OF CAMBRIDGE The Pitt Building, Trumpington Street,
More information11. Prove that the Missing Strip Plane is an. 12. Prove the above proposition.
10 Pasch Geometries Definition (Pasch s Postulate (PP)) A metric geometry satisfies Pasch s Postulate (PP) if for any line l, any triangle ABC, and any point D l such that A D B, then either l AC or l
More informationDefinition: div Let n, d 0. We define ndiv d as the least integer quotient obtained when n is divided by d. That is if
Section 5. Congruence Arithmetic A number of computer languages have built-in functions that compute the quotient and remainder of division. Definition: div Let n, d 0. We define ndiv d as the least integer
More informationMA 460 Supplement on Analytic Geometry
M 460 Supplement on nalytic Geometry Donu rapura In the 1600 s Descartes introduced cartesian coordinates which changed the way we now do geometry. This also paved for subsequent developments such as calculus.
More informationFlows and Connectivity
Chapter 4 Flows and Connectivit 4. Network Flows Capacit Networks A network N is a connected weighted loopless graph (G,w) with two specified vertices and, called the source and the sink, respectivel,
More informationAnalytic Geometry in Three Dimensions
Analtic Geometr in Three Dimensions. The Three-Dimensional Coordinate Sstem. Vectors in Space. The Cross Product of Two Vectors. Lines and Planes in Space The three-dimensional coordinate sstem is used
More informationCh 3 Alg 2 Note Sheet.doc 3.1 Graphing Systems of Equations
Ch 3 Alg Note Sheet.doc 3.1 Graphing Sstems of Equations Sstems of Linear Equations A sstem of equations is a set of two or more equations that use the same variables. If the graph of each equation =.4
More information1 Overview. CS348a: Computer Graphics Handout #8 Geometric Modeling Original Handout #8 Stanford University Thursday, 15 October 1992
CS348a: Computer Graphics Handout #8 Geometric Modeling Original Handout #8 Stanford University Thursday, 15 October 1992 Original Lecture #1: 1 October 1992 Topics: Affine vs. Projective Geometries Scribe:
More informationDesign Theory Notes 1:
----------------------------------------------------------------------------------------------- Math 6023 Topics in Discrete Math: Design and Graph Theory Fall 2007 ------------------------------------------------------------------------------------------------
More informationMORE EXERCISES FOR SECTIONS II.1 AND II.2. There are drawings on the next two pages to accompany the starred ( ) exercises.
Math 133 Winter 2013 MORE EXERCISES FOR SECTIONS II.1 AND II.2 There are drawings on the next two pages to accompany the starred ( ) exercises. B1. Let L be a line in R 3, and let x be a point which does
More informationReview of Prerequisite Skills, p. 350 C( 2, 0, 1) B( 3, 2, 0) y A(0, 1, 0) D(0, 2, 3) j! k! 2k! Section 7.1, pp
. 5. a. a a b a a b. Case If and are collinear, then b is also collinear with both and. But is perpendicular to and c c c b 9 b c, so a a b b is perpendicular to. Case If b and c b c are not collinear,
More informationDefinition: A vector is a directed line segment which represents a displacement from one point P to another point Q.
THE UNIVERSITY OF NEW SOUTH WALES SCHOOL OF MATHEMATICS AND STATISTICS MATH Algebra Section : - Introduction to Vectors. You may have already met the notion of a vector in physics. There you will have
More informationchapter 1 vector geometry solutions V Consider the parallelogram shown alongside. Which of the following statements are true?
chapter vector geometry solutions V. Exercise A. For the shape shown, find a single vector which is equal to a)!!! " AB + BC AC b)! AD!!! " + DB AB c)! AC + CD AD d)! BC + CD!!! " + DA BA e) CD!!! " "
More informationModern Geometry Homework.
Modern Geometry Homework 1 Cramer s rule We now wish to become experts in solving two linear equations in two unknowns over our field F We first recall that a 2 2 matrix a b A = c b its determinant is
More informationConics. Chapter 6. When you do this Exercise, you will see that the intersections are of the form. ax 2 + bxy + cy 2 + ex + fy + g =0, (1)
Chapter 6 Conics We have a pretty good understanding of lines/linear equations in R 2 and RP 2. Let s spend some time studying quadratic equations in these spaces. These curves are called conics for the
More informationDefinitions, Axioms, Postulates, Propositions, and Theorems from Euclidean and Non-Euclidean Geometries by Marvin Jay Greenberg ( )
Definitions, Axioms, Postulates, Propositions, and Theorems from Euclidean and Non-Euclidean Geometries by Marvin Jay Greenberg (2005-02-16) Logic Rules (Greenberg): Logic Rule 1 Allowable justifications.
More informationCollinearity/Concurrence
Collinearity/Concurrence Ray Li (rayyli@stanford.edu) June 29, 2017 1 Introduction/Facts you should know 1. (Cevian Triangle) Let ABC be a triangle and P be a point. Let lines AP, BP, CP meet lines BC,
More informationCONQUERING CALCULUS POST-SECONDARY PREPARATION SOLUTIONS TO ALL EXERCISES. Andrijana Burazin and Miroslav Lovrić
CONQUERING CALCULUS POST-SECONDARY PREPARATION SOLUTIONS TO ALL EXERCISES Andrijana Burazin and Miroslav Lovrić c 7 Miroslav Lovrić. This is an open-access document. You are allowed to download, print
More informationSpace Coordinates and Vectors in Space. Coordinates in Space
0_110.qd 11//0 : PM Page 77 SECTION 11. Space Coordinates and Vectors in Space 77 -plane Section 11. -plane -plane The three-dimensional coordinate sstem Figure 11.1 Space Coordinates and Vectors in Space
More informationMA 460 Supplement: Analytic geometry
M 460 Supplement: nalytic geometry Donu rapura In the 1600 s Descartes introduced cartesian coordinates which changed the way we now do geometry. This also paved for subsequent developments such as calculus.
More informationHomework Notes Week 6
Homework Notes Week 6 Math 24 Spring 24 34#4b The sstem + 2 3 3 + 4 = 2 + 2 + 3 4 = 2 + 2 3 = is consistent To see this we put the matri 3 2 A b = 2 into reduced row echelon form Adding times the first
More informationCCSSM Algebra: Equations
CCSSM Algebra: Equations. Reasoning with Equations and Inequalities (A-REI) Eplain each step in solving a simple equation as following from the equalit of numbers asserted at the previous step, starting
More information4 Inverse function theorem
Tel Aviv Universit, 2013/14 Analsis-III,IV 53 4 Inverse function theorem 4a What is the problem................ 53 4b Simple observations before the theorem..... 54 4c The theorem.....................
More informationWhich of the following expressions are monomials?
9 1 Stud Guide Pages 382 387 Polnomials The epressions, 6, 5a 2, and 10cd 3 are eamples of monomials. A monomial is a number, a variable, or a product of numbers and variables. An eponents in a monomial
More informationA matrix over a field F is a rectangular array of elements from F. The symbol
Chapter MATRICES Matrix arithmetic A matrix over a field F is a rectangular array of elements from F The symbol M m n (F ) denotes the collection of all m n matrices over F Matrices will usually be denoted
More informationA B CDE F B FD D A C AF DC A F
International Journal of Arts & Sciences, CD-ROM. ISSN: 1944-6934 :: 4(20):121 131 (2011) Copyright c 2011 by InternationalJournal.org A B CDE F B FD D A C A BC D EF C CE C A D ABC DEF B B C A E E C A
More informationDefinitions, Axioms, Postulates, Propositions, and Theorems from Euclidean and Non-Euclidean Geometries by Marvin Jay Greenberg
Definitions, Axioms, Postulates, Propositions, and Theorems from Euclidean and Non-Euclidean Geometries by Marvin Jay Greenberg Undefined Terms: Point, Line, Incident, Between, Congruent. Incidence Axioms:
More informationDigital Workbook for GRA 6035 Mathematics
Eivind Eriksen Digital Workbook for GRA 6035 Mathematics November 10, 2014 BI Norwegian Business School Contents Part I Lectures in GRA6035 Mathematics 1 Linear Systems and Gaussian Elimination........................
More informationVectors 1C. 6 k) = =0 = =17
Vectors C For each problem, calculate the vector product in the bracet first and then perform the scalar product on the answer. a b c= 3 0 4 =4i j 3 a.(b c=(5i+j.(4i j 3 =0 +3= b c a = 3 0 4 5 = 8i+3j+6
More informationPappus Theorem for a Conic and Mystic Hexagons. Ross Moore Macquarie University Sydney, Australia
Pappus Theorem for a Conic and Mystic Hexagons Ross Moore Macquarie University Sydney, Australia Pappus Theorem for a Conic and Mystic Hexagons Ross Moore Macquarie University Sydney, Australia Pappus
More informationPhys 201. Matrices and Determinants
Phys 201 Matrices and Determinants 1 1.1 Matrices 1.2 Operations of matrices 1.3 Types of matrices 1.4 Properties of matrices 1.5 Determinants 1.6 Inverse of a 3 3 matrix 2 1.1 Matrices A 2 3 7 =! " 1
More informationFACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures
FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING Lectures MODULE 5 VECTORS II. Triple products 2. Differentiation and integration of vectors 3. Equation of a line 4. Equation of a plane.
More information3.7 InveRSe FUnCTIOnS
CHAPTER functions learning ObjeCTIveS In this section, ou will: Verif inverse functions. Determine the domain and range of an inverse function, and restrict the domain of a function to make it one-to-one.
More informationWe could express the left side as a sum of vectors and obtain the Vector Form of a Linear System: a 12 a x n. a m2
Week 22 Equations, Matrices and Transformations Coefficient Matrix and Vector Forms of a Linear System Suppose we have a system of m linear equations in n unknowns a 11 x 1 + a 12 x 2 + + a 1n x n b 1
More informationMATH1050 Greatest/least element, upper/lower bound
MATH1050 Greatest/ element, upper/lower bound 1 Definition Let S be a subset of R x λ (a) Let λ S λ is said to be a element of S if, for any x S, x λ (b) S is said to have a element if there exists some
More informationAPPENDIXES. B Coordinate Geometry and Lines C. D Trigonometry E F. G The Logarithm Defined as an Integral H Complex Numbers I
APPENDIXES A Numbers, Inequalities, and Absolute Values B Coordinate Geometr and Lines C Graphs of Second-Degree Equations D Trigonometr E F Sigma Notation Proofs of Theorems G The Logarithm Defined as
More informationANALYTICAL GEOMETRY Revision of Grade 10 Analytical Geometry
ANALYTICAL GEOMETRY Revision of Grade 10 Analtical Geometr Let s quickl have a look at the analtical geometr ou learnt in Grade 10. 8 LESSON Midpoint formula (_ + 1 ;_ + 1 The midpoint formula is used
More informationCartesian coordinates in space (Sect. 12.1).
Cartesian coordinates in space (Sect..). Overview of Multivariable Calculus. Cartesian coordinates in space. Right-handed, left-handed Cartesian coordinates. Distance formula between two points in space.
More informationELEMENTARY LINEAR ALGEBRA
ELEMENTARY LINEAR ALGEBRA K R MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND First Printing, 99 Chapter LINEAR EQUATIONS Introduction to linear equations A linear equation in n unknowns x,
More informationTHE ADJOINT OF A MATRIX The transpose of this matrix is called the adjoint of A That is, C C n1 C 22.. adj A. C n C nn.
8 Chapter Determinants.4 Applications of Determinants Find the adjoint of a matrix use it to find the inverse of the matrix. Use Cramer s Rule to solve a sstem of n linear equations in n variables. Use
More informationFoundations of Neutral Geometry
C H A P T E R 12 Foundations of Neutral Geometry The play is independent of the pages on which it is printed, and pure geometries are independent of lecture rooms, or of any other detail of the physical
More informationLines and Planes 1. x(t) = at + b y(t) = ct + d
1 Lines in the Plane Lines and Planes 1 Ever line of points L in R 2 can be epressed as the solution set for an equation of the form A + B = C. Will we call this the ABC form. Recall that the slope-intercept
More informationSTRAND J: TRANSFORMATIONS, VECTORS and MATRICES
Mathematics SKE, Strand J STRAND J: TRANSFORMATIONS, VECTORS and MATRICES J4 Matrices Text Contents * * * * Section J4. Matrices: Addition and Subtraction J4.2 Matrices: Multiplication J4.3 Inverse Matrices:
More informationarxiv:math/ v1 [math.ag] 3 Mar 2002
How to sum up triangles arxiv:math/0203022v1 [math.ag] 3 Mar 2002 Bakharev F. Kokhas K. Petrov F. June 2001 Abstract We prove configuration theorems that generalize the Desargues, Pascal, and Pappus theorems.
More informationFuzzy Topology On Fuzzy Sets: Regularity and Separation Axioms
wwwaasrcorg/aasrj American Academic & Scholarl Research Journal Vol 4, No 2, March 212 Fuzz Topolog n Fuzz Sets: Regularit and Separation Aioms AKandil 1, S Saleh 2 and MM Yakout 3 1 Mathematics Department,
More informationCumulative Review of Vectors
Cumulative Review of Vectors 1. For the vectors a! 1, 1, and b! 1, 4, 1, determine the following: a. the angle between the two vectors! the scalar and vector projections of a! on the scalar and vector
More informationUnit 3: Matrices. Juan Luis Melero and Eduardo Eyras. September 2018
Unit 3: Matrices Juan Luis Melero and Eduardo Eyras September 2018 1 Contents 1 Matrices and operations 4 1.1 Definition of a matrix....................... 4 1.2 Addition and subtraction of matrices..............
More information9.2. Cartesian Components of Vectors. Introduction. Prerequisites. Learning Outcomes
Cartesian Components of Vectors 9.2 Introduction It is useful to be able to describe vectors with reference to specific coordinate sstems, such as the Cartesian coordinate sstem. So, in this Section, we
More informationFACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures AB = BA = I,
FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING Lectures MODULE 7 MATRICES II Inverse of a matri Sstems of linear equations Solution of sets of linear equations elimination methods 4
More informationClassical Theorems in Plane Geometry 1
BERKELEY MATH CIRCLE 1999 2000 Classical Theorems in Plane Geometry 1 Zvezdelina Stankova-Frenkel UC Berkeley and Mills College Note: All objects in this handout are planar - i.e. they lie in the usual
More informationa 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2.
Chapter 1 LINEAR EQUATIONS 11 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 real
More informationPOINT. Preface. The concept of Point is very important for the study of coordinate
POINT Preface The concept of Point is ver important for the stud of coordinate geometr. This chapter deals with various forms of representing a Point and several associated properties. The concept of coordinates
More informationCreated by T. Madas VECTOR PRACTICE Part B Created by T. Madas
VECTOR PRACTICE Part B THE CROSS PRODUCT Question 1 Find in each of the following cases a) a = 2i + 5j + k and b = 3i j b) a = i + 2j + k and b = 3i j k c) a = 3i j 2k and b = i + 3j + k d) a = 7i + j
More information12 VECTOR GEOMETRY Vectors in the Plane
1 VECTOR GEOMETRY 1.1 Vectors in the Plane Preliminar Questions 1. Answer true or false. Ever nonero vector is: (a) equivalent to a vector based at the origin. (b) equivalent to a unit vector based at
More informationAffine transformations
Reading Optional reading: Affine transformations Brian Curless CSE 557 Autumn 207 Angel and Shreiner: 3., 3.7-3. Marschner and Shirle: 2.3, 2.4.-2.4.4, 6..-6..4, 6.2., 6.3 Further reading: Angel, the rest
More informationTransformation of kinematical quantities from rotating into static coordinate system
Transformation of kinematical quantities from rotating into static coordinate sstem Dimitar G Stoanov Facult of Engineering and Pedagog in Sliven, Technical Universit of Sofia 59, Bourgasko Shaussee Blvd,
More informationConcurrency and Collinearity
Concurrency and Collinearity Victoria Krakovna vkrakovna@gmail.com 1 Elementary Tools Here are some tips for concurrency and collinearity questions: 1. You can often restate a concurrency question as a
More informationLinear Algebra M1 - FIB. Contents: 5. Matrices, systems of linear equations and determinants 6. Vector space 7. Linear maps 8.
Linear Algebra M1 - FIB Contents: 5 Matrices, systems of linear equations and determinants 6 Vector space 7 Linear maps 8 Diagonalization Anna de Mier Montserrat Maureso Dept Matemàtica Aplicada II Translation:
More informationVladimir Volenec, Mea Bombardelli
ARCHIVUM MATHEMATICUM (BRNO) Tomus 43 (2007), 123 132 SYMMETRIES IN HEXAGONAL QUASIGROUPS Vladimir Volenec, Mea Bombardelli Abstract. Heagonal quasigroup is idempotent, medial and semisymmetric quasigroup.
More informationVECTORS IN THREE DIMENSIONS
Mathematics Revision Guides Vectors in Three Dimensions Page of MK HOME TUITION Mathematics Revision Guides Level: ALevel Year VECTORS IN THREE DIMENSIONS Version: Date: Mathematics Revision Guides Vectors
More informationMath Theory of Number Homework 1
Math 4050 Theory of Number Homework 1 Due Wednesday, 015-09-09, in class Do 5 of the following 7 problems. Please only attempt 5 because I will only grade 5. 1. Find all rational numbers and y satisfying
More informationOriginal site. translation. transformation. Decide whether the red figure is a translation of the blue figure. Compare a Figure and Its Image
Page of 8 3.7 Translations Goal Identif and use translations. Ke Words translation image transformation In 996, New York Cit s Empire Theater was slid 70 feet up 2nd Street to a new location. Original
More informationGROUPS. Chapter-1 EXAMPLES 1.1. INTRODUCTION 1.2. BINARY OPERATION
Chapter-1 GROUPS 1.1. INTRODUCTION The theory of groups arose from the theory of equations, during the nineteenth century. Originally, groups consisted only of transformations. The group of transformations
More informationMinimal reductions of monomial ideals
ISSN: 1401-5617 Minimal reductions of monomial ideals Veronica Crispin Quiñonez Research Reports in Mathematics Number 10, 2004 Department of Mathematics Stocholm Universit Electronic versions of this
More informationGeometry review, part I
Geometr reie, part I Geometr reie I Vectors and points points and ectors Geometric s. coordinate-based (algebraic) approach operations on ectors and points Lines implicit and parametric equations intersections,
More informationThe geometry of projective space
Chapter 1 The geometry of projective space 1.1 Projective spaces Definition. A vector subspace of a vector space V is a non-empty subset U V which is closed under addition and scalar multiplication. In
More informationA FIRST COURSE IN LINEAR ALGEBRA. An Open Text by Ken Kuttler. Matrix Arithmetic
A FIRST COURSE IN LINEAR ALGEBRA An Open Text by Ken Kuttler Matrix Arithmetic Lecture Notes by Karen Seyffarth Adapted by LYRYX SERVICE COURSE SOLUTION Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)
More informationIntroduction to Vectors Pg. 279 # 1 6, 8, 9, 10 OR WS 1.1 Sept. 7. Vector Addition Pg. 290 # 3, 4, 6, 7, OR WS 1.2 Sept. 8
UNIT 1 INTRODUCTION TO VECTORS Lesson TOPIC Suggested Work Sept. 5 1.0 Review of Pre-requisite Skills Pg. 273 # 1 9 OR WS 1.0 Fill in Info sheet and get permission sheet signed. Bring in $3 for lesson
More informationx + 2y + 3z = 8 x + 3y = 7 x + 2z = 3
Chapter 2: Solving Linear Equations 23 Elimination Using Matrices As we saw in the presentation, we can use elimination to make a system of linear equations into an upper triangular system that is easy
More information1 Matrices and vector spaces
Matrices and vector spaces. Which of the following statements about linear vector spaces are true? Where a statement is false, give a counter-example to demonstrate this. (a) Non-singular N N matrices
More informationSolutions Week 2. D-ARCH Mathematics Fall Linear dependence & matrix multiplication. 1. A bit of vector algebra.
D-ARCH Mathematics Fall 4 Solutions Week Linear dependence & matrix multiplication A bit of vector algebra (a) Find all vectors perpendicular to Drawing a sketch might help! Solution : All vectors in the
More information1 The Basics: Vectors, Matrices, Matrix Operations
14.102, Math for Economists Fall 2004 Lecture Notes, 9/9/2004 These notes are primarily based on those written by George Marios Angeletos for the Harvard Math Camp in 1999 and 2000, and updated by Stavros
More informationExercise Set Suppose that A, B, C, D, and E are matrices with the following sizes: A B C D E
Determine the size of a given matrix. Identify the row vectors and column vectors of a given matrix. Perform the arithmetic operations of matrix addition, subtraction, scalar multiplication, and multiplication.
More informationPair of Linear Equations in Two Variables
Exercise. Question. Aftab tells his daughter, Seven ears ago, I was seven times as old as ou were then. Also, three ears from now, I shall be three times as old as ou will be. (Isn t this interesting?)
More informationHomework 3/ Solutions
MTH 310-3 Abstract Algebra I and Number Theory S17 Homework 3/ Solutions Exercise 1. Prove the following Theorem: Theorem Let R and S be rings. Define an addition and multiplication on R S by for all r,
More information( 7, 3) means x = 7 and y = 3. ( 7, 3) works in both equations so. Section 5 1: Solving a System of Linear Equations by Graphing
Section 5 : Solving a Sstem of Linear Equations b Graphing What is a sstem of Linear Equations? A sstem of linear equations is a list of two or more linear equations that each represents the graph of a
More informationChapter *2* are concurrent (at O), then if D is on BC and B 0 C 0, and E is on CA and C 0 A 0, and F is on BA and B 0 A 0, D, E and F are collinear.
Chapter *2* A Polychromatic Proof of Desargues' Theorem Desargues' theorem states that in a space of more than two dimensions if two triangles are centrally perspective, they are axially perspective, that
More informationSOLUTIONS TO ADDITIONAL EXERCISES FOR II.1 AND II.2
SOLUTIONS TO ADDITIONAL EXERCISES FOR II.1 AND II.2 Here are the solutions to the additional exercises in betsepexercises.pdf. B1. Let y and z be distinct points of L; we claim that x, y and z are not
More informationChapter 1. Affine and Euclidean Geometry. 1.1 Points and vectors. 1.2 Linear operations on vectors
Chapter 1 Affine and Euclidean Geometry 1.1 Points and vectors We recall coordinate plane geometry from Calculus. The set R 2 will be called the plane. Elements of R 2, that is ordered pairs (x, y) of
More informationYou don't have to be a mathematician to have a feel for numbers. John Forbes Nash, Jr.
Course Title: Real Analsis Course Code: MTH3 Course instructor: Dr. Atiq ur Rehman Class: MSc-II Course URL: www.mathcit.org/atiq/fa5-mth3 You don't have to be a mathematician to have a feel for numbers.
More informationHanoi Open Mathematical Competition 2017
Hanoi Open Mathematical Competition 2017 Junior Section Saturday, 4 March 2017 08h30-11h30 Important: Answer to all 15 questions. Write your answers on the answer sheets provided. For the multiple choice
More informationMATH c UNIVERSITY OF LEEDS Examination for the Module MATH2210 (May/June 2004) INTRODUCTION TO DISCRETE MATHEMATICS. Time allowed : 2 hours
This question paper consists of 5 printed pages, each of which is identified by the reference MATH221001 MATH221001 No calculators allowed c UNIVERSITY OF LEEDS Examination for the Module MATH2210 (May/June
More informationHarmonic quadrangle in isotropic plane
Turkish Journal of Mathematics http:// journals. tubitak. gov. tr/ math/ Research Article Turk J Math (018) 4: 666 678 c TÜBİTAK doi:10.3906/mat-1607-35 Harmonic quadrangle in isotropic plane Ema JURKIN
More informationLinear Algebra. Matrices Operations. Consider, for example, a system of equations such as x + 2y z + 4w = 0, 3x 4y + 2z 6w = 0, x 3y 2z + w = 0.
Matrices Operations Linear Algebra Consider, for example, a system of equations such as x + 2y z + 4w = 0, 3x 4y + 2z 6w = 0, x 3y 2z + w = 0 The rectangular array 1 2 1 4 3 4 2 6 1 3 2 1 in which the
More information