In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature.

Size: px
Start display at page:

Download "In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature."

Transcription

1 The scalar product mc-ty-scalarprod Oneofthewaysinwhichtwovectorscanbecombinedisknownasthescalarproduct.When wecalculatethescalarproductoftwovectorstheresult,asthenamesuggestsisascalar,rather than a vector. Inthisunityouwilllearnhowtocalculatethescalarproductandmeetsomegeometricalapplications. In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature. Afterreadingthistext,and/orviewingthevideotutorialonthistopic,youshouldbeableto: definethescalarproductoftwovectors state some important properties of the scalar product calculate the scalar product when the two vectors are given in cartesian form use the scalar product in some geometrical applications Contents. Introduction 2 2. Definition of the scalar product 2. Some properties of the scalar product 4. The scalar product of two vectors given in cartesian form 5 5. Some applications of the scalar product 8 c mathcentre 2009

2 . Introduction Oneofthewaysinwhichtwovectorscanbecombinedisknownasthescalarproduct.When wecalculatethescalarproductoftwovectorstheresult,asthenamesuggestsisascalar,rather than a vector. Inthisunityouwilllearnhowtocalculatethescalarproductandmeetsomegeometricalapplications. 2. Definition of the scalar product Studythetwovectors aand bdrawninfigure.notethatwehavedrawnthetwovectorsso thattheirtailsareatthesamepoint.theanglebetweenthetwovectorshasbeenlabelled θ. b θ a Figure.Twovectors, aand b,drawnsothattheanglebetweenthemis θ. Wedefinethescalarproductof aand basfollows: Thescalarproductof aand bisdefinedtobe a b = a b cosθ where a isthemodulus,ormagnitudeof a, b isthemodulusof b,and θistheanglebetween aand b. Notethatthesymbolforthescalarproductisthedot,andsowesometimesrefertothescalar productasthedotproduct.eithernamewilldo. 2 c mathcentre 2009

3 Example Considerthetwovectors aand bshowninfigure2. Suppose ahasmodulus4units, bhas modulus5units,andtheanglebetweenthemis 60,asshown. b 60 a Figure2. aand bhavelengths4and5unitsrespectively;theanglebetweenthemis 60. Wecanusethedefinitiongivenabovetofindthescalarproductof aand b. a b = a b cosθ = 4 5 cos 60 = = 0 Sothescalarproductofthesevectorsisthenumber0.Notethattheanswerisascalar,that isanumber,ratherthanavector. So,wehavelearntamethodofcombiningtwovectorsto produce a scalar.. Some properties of the scalar product Commutativity and distributivity Suppose for the two vectors in the previous example we calculate the product in a different order. Thatis,supposewewanttofind b a.thedefinitionof b ais b a = b a cosθ Performing the calculation using the numbers in the Example we find b a = b a cosθ = 5 4 cos 60 = = 0 So,weseethattheresultisthesamewhicheverwayaroundweperformthecalculation. This is true in general: a b = b a Thispropertyofthescalarproductisknownascommutativity. Wepointitoutbecausein another unit you can learn about another way of combining vectors known as the vector product. Thevectorproductisnotcommutativesotheorderinwhichwewritedownthetwovectorswill be very important. c mathcentre 2009

4 The scalar product is commutative. This means a b = b a Another property of the scalar product is that it is distributive over addition. This means that a (b + c) = a b + a c Althoughweshallnotprovethisresulthereweshalluseitlateronwhenwedevelopanalternative formula for finding the scalar product. The scalar product is distributive over addition. This means a (b + c) = a b + a c and also, equivalently (b + c) a = b a + c a The scalar product of two perpendicular vectors Example Considerthetwovectors aand bshowninfigure.theanglebetweenthemis 90,asshown. b a Figure.Theanglebetween aand bis c mathcentre 2009

5 Wecanusethedefinitiontofindthescalarproductof aand b. a b = a b cosθ = a b cos 90 = 0 because cos 90 = 0. Thisistruewhateverthelengthsof aand b. Sothescalarproductof two vectors which are at right-angles is always 0. We say that such vectors are perpendicular or orthogonal. For two perpendicular vectors a b = 0 Theconverseofthisstatementisalsotrue: ifwehavetwonon-zerovectors aand bandwe find that their scalar product is zero, it follows that these vectors must be perpendicular. We canusethisfacttotestwhethertwovectorsareperpendicular,asweshallseeshortly. 4. The scalar product of two vectors given in cartesian form Wenowconsiderhowtofindthescalarproductoftwovectorswhenthesevectorsaregivenin cartesian form, for example as a = i 2j + 7k and b = 5i + 4j k where i, jand kareunitvectorsinthedirectionsofthe x, yand zaxesrespectively. Firstofallweneedtodevelopafewresultsinthefollowingexamples. Example Supposewewanttofind i j.thesevectorsareshowninfigure4. Notethatbecause iand jliealongthe xand yaxestheymustbeperpendicular. So,fromthe resultwehavejustestablished,thescalarproduct i jmustbezero. Forthesamereason,we 5 c mathcentre 2009

6 obtainthesameresultifwecalculate i kand j k. z k i O j y x Figure4.Theunitvectors iand jareperpendicular. Example Supposewewanttofind i i.referagaintofigure4.thevector iisaunitvector,soitslength isunit.theanglebetweenavectoranditselfmustbezero.so since cos 0 =. Forthesamereason j j = and k k =. i i = i i cos 0 = = If i, jand kareunitvectorsinthedirectionsofthe x, yand zaxes,then i j = 0 i k = 0 j k = 0 i i = j j = k k = Wecanusetheseresultstodevelopaformulaforfindingthescalarproductoftwovectorsgiven in cartesian form: 6 c mathcentre 2009

7 Suppose a = a i + a 2 j + a kand b = b i + b 2 j + b kthen a b = (a i + a 2 j + a k) (b i + b 2 j + b k) = a i (b i + b 2 j + b k) + a 2 j (b i + b 2 j + b k) + a k (b i + b 2 j + b k) = a i b i + a i b 2 j + a i b k + a 2 j b i + a 2 j b 2 j + a 2 j b k + a k b i + a k b 2 j + a k b k = a b i i + a b 2 i j + a b i k + a 2 b j i + a 2 b 2 j j + a 2 b j k + a b k i + a b 2 k j + a b k k NowfromthepreviousKeyPointmostofthesetermsarezero. Thosethatarenotsimplify because i i = j j = k k =.Weobtain a b = a b + a 2 b 2 + a b Thisistheformulawhichwecanusetocalculateascalarproductwhenwearegiventhecartesian components of the two vectors. If a = a i + a 2 j + a kand b = b i + b 2 j + b kthen a b = a b + a 2 b 2 + a b Note that a useful way to remember this is: multiply the i components together, multiply the j components together, multiply the k components together, and finally, add the results. On occasionsyoumayseethisformreferredtoastheinnerproductofthevectorsaand b. In the context of vectors this simply means the sum of the products of the corresponding vector components. Example Supposewewishtofindthescalarproductofthetwovectors a = 4i+j+7kand b = 2i+5j+4k. Theresultwehavejustderivedtellsustomultiplythe icomponentstogether,multiplythe j components together, multiply the k components together, and finally add the results. So a b = (4)(2) + ()(5) + (7)(4) = = c mathcentre 2009

8 Example Supposewewishtofindthescalarproductofthetwovectors a = 6i+j kand b = 2i+4k. Notethatthe jcomponentof biszero.so a b = ( 6)(2) + ()(0) + ( )(4) = = 6 Itisoftenusefultomakeuseofcolumnvectornotation. Consideragainthelastexample. Writing aand bascolumnvectors 6 2 a = b = 0 4 the scalar product becomes 6 a b = Exercises = ( 6)(2) + ()(0) + ( )(4) = 6.If a = 4i + 9jand b = i + 2jfind(a) a b,(b) b a,(c) a a,(d) b b. 2.Findthescalarproductofthevectors 5iand 8j..If p = 4i + j + 2kand q = 2i j + kfind(a) p q,(b) q p,(c) p p,(d) q q. 4.If r = i + 2j + 8kshowthat r r = r If a = and b = 4 find(a) a b,(b) b a,(c) a a,(d) b b Points A, B, and C have coordinates(,2,),(5,4,2), and ( 4, 2, ) respectively. Find the scalarproductof ABand AC. 5. Some applications of the scalar product Inthissectionwewilllookatsomewaysinwhichthescalarproductcanbeused. Using the scalar product to test whether two vectors are perpendicular A common application of the scalar product is to test whether two vectors are perpendicular. From the definition a b = a b cosθ Ifboththevectors aand barenon-zeroandwefindthat a b = 0thenwecandeduce cosθ mustbezero,sothat θ = 90,i.e. aand bareperpendicular. Considerthefollowingexample. 8 c mathcentre 2009

9 Example Supposewewishtotestwhetherornotthevectors aand bareperpendicular,where a = 2 b = 2 Notethatneither anor biszero.calculatingthescalarproductwefind a b = 2 2 andso aand bareindeedperpendicular. = ()() + (2)( 2) + ( )( ) = 4 + = 0 If aand barenon-zerovectorsforwhich a b = 0,then aand bareperpendicular. Using the scalar product to find the angle between two vectors. Oneofthecommonapplicationsofthescalarproductistofindtheanglebetweentwovectors when they are expressed in cartesian form. From the definition of the scalar product a b = a b cosθ Wecanrearrangethistoobtainanexpressionfor cosθ: cosθ = a b a b () Ifwearegiven aand bincartesianformwecanusetheresultobtainedinsection4tocalculate a b.wecanalsocalculatethemodulusofeachof aand bsince a = a 2 + a2 2 + a2 and b = b 2 + b2 2 + b2 WiththisinformationEquation()canbeusedtofindtheanglebetweenthetwovectors. 9 c mathcentre 2009

10 Theangle, θ,betweenthetwovectors aand bcanbefoundfrom cosθ = a b a b Example Supposewewishtofindtheanglebetweenthevectors a = 4i + j + 7kand b = 2i + 5j + 4k. Thescalarproduct, a b,hasalreadybeencalculatedonpage7andfoundtobe5. Themodulusofeachvectorisfound: a = = 74 Then, from Equation(), b = = 45 cosθ = = a b a b Finally, using a calculator = 0.888(4 sig fig) θ = cos = Sotheanglebetweenthevectors aand bis Finding the component of a vector in the direction of another vector Anotherapplicationofthescalarproductistofindthecomponentofonevectorinthedirection of another. ConsiderFigure5.Wecanthinkofthevector bbeingmadeupofacomponentinthedirection of a,( OA),togetherwithaperpendicularcomponent,( AB). The component in the direction of aistheprojectionof bonto a. b B O θ l A a Figure5.Theprojectionof bonto ais l. 0 c mathcentre 2009

11 From the right angled triangle OAB and using trigonometry we see that and therefore cosθ = l b l = b cos θ Usingtheformulafor cosθobtainedinthepreviousapplicationwehave This can be written in the alternative form l = b cosθ = b a b a b = a b a l = b Sotheprojectionof bonto acanbefoundbytakingthescalarproductof bandaunitvector inthedirectionof a,i.e. l = b â. a a Theprojection, l,of bonto acanbefoundbytakingthescalarproductof bandaunitvector inthedirectionof a: l = b â Example Supposewewishtofindthecomponentof b = i + j + 4kinthedirectionof a = i j + k. Aunitvectorinthedirectionof ais Then b â = 4 â = a a = (i j + k) = ( + 4) = 6 = 2. Sothecomponentof b = i + j + 4kinthedirectionof a = i j + kis 2. c mathcentre 2009

12 Exercises 2..PointsA,B,andChavecoordinates(,2,),(5,4,2),and ( 4, 2, )respectively. The scalarproductof ABand AChasbeenfoundinthepreviousExercisesQ6.Findtheangle between ABand AC. 2.Determinewhetherornotthevectors 2i + 4jand i + 2 jareperpendicular..evaluate p iwhere p = 4i + 8j.Hencefindtheanglethat pmakeswiththe xaxis. 4.Findthecomponentofthevector r = i j + kinthedirectionof a = 7i 2j + 2k. Answers to Exercises Exercises.(a)0,(b)0,(c)97,(d) (a)27,(b)27,(c)29,(d)26. 4.Bothequal77. 5.(a) 50,(b) 50,(c)29,(d) Exercises Theirscalarproductiszero. Theyarenon-zerovectors. Wededucethattheymustbe perpendicular.. p i = 4.Therequiredangleis =.987(d.p.). 2 c mathcentre 2009

In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature.

In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature. The vector product mc-ty-vectorprod-2009-1 Oneofthewaysinwhichtwovectorscanecominedisknownasthevectorproduct.When wecalculatethevectorproductoftwovectorstheresult,asthenamesuggests,isavector. Inthisunityouwilllearnhowtocalculatethevectorproductandmeetsomegeometricalapplications.

More information

A vector is a directed line segment used to represent a vector quantity.

A 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 information

Afterreadingthistext,and/orviewingthevideotutorialonthistopic,youshouldbeableto: explainwhycubicequationspossesseitheronerealrootorthreerealroots

Afterreadingthistext,and/orviewingthevideotutorialonthistopic,youshouldbeableto: explainwhycubicequationspossesseitheronerealrootorthreerealroots Cubic equations Acubicequationhastheform mc-ty-cubicequations-2009- ax 3 + bx 2 + cx + d = 0 where a 0 Allcubicequationshaveeitheronerealroot,orthreerealroots.Inthisunitweexplorewhythis isso. Thenwelookathowcubicequationscanbesolvedbyspottingfactorsandusingamethodcalled

More information

Lecture 14: Section 3.3

Lecture 14: Section 3.3 Lecture 14: Section 3.3 Shuanglin Shao October 23, 2013 Definition. Two nonzero vectors u and v in R n are said to be orthogonal (or perpendicular) if u v = 0. We will also agree that the zero vector in

More information

VECTOR ALGEBRA. 10.1.1 A quantity that has magnitude as well as direction is called a vector. is given by a and is represented by a.

VECTOR ALGEBRA. 10.1.1 A quantity that has magnitude as well as direction is called a vector. is given by a and is represented by a. VECTOR ALGEBRA Chapter 10 101 Overview 1011 A quantity that has magnitude as well as direction is called a vector 101 The unit vector in the direction of a a is given y a and is represented y a 101 Position

More information

C relative to O being abc,, respectively, then b a c.

C relative to O being abc,, respectively, then b a c. 2 EP-Program - Strisuksa School - Roi-et Math : Vectors Dr.Wattana Toutip - Department of Mathematics Khon Kaen University 200 :Wattana Toutip wattou@kku.ac.th http://home.kku.ac.th/wattou 2. Vectors A

More information

Problem set on Cross Product

Problem set on Cross Product 1 Calculate the vector product of a and b given that a= 2i + j + k and b = i j k (Ans 3 j - 3 k ) 2 Calculate the vector product of i - j and i + j (Ans ) 3 Find the unit vectors that are perpendicular

More information

5 VECTOR GEOMETRY. 5.0 Introduction. Objectives. Activity 1

5 VECTOR GEOMETRY. 5.0 Introduction. Objectives. Activity 1 5 VECTOR GEOMETRY Chapter 5 Vector Geometry Objectives After studying this chapter you should be able to find and use the vector equation of a straight line; be able to find the equation of a plane in

More information

5.3 The Cross Product in R 3

5.3 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 information

9 MATRICES AND TRANSFORMATIONS

9 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 information

Completing the square

Completing the square Completing the square mc-ty-completingsquare-009-1 In this unit we consider how quadratic expressions can be written in an equivalent form using the technique known as completing the square. This technique

More information

FURTHER VECTORS (MEI)

FURTHER 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 information

Section 1.4. Lines, Planes, and Hyperplanes. The Calculus of Functions of Several Variables

Section 1.4. Lines, Planes, and Hyperplanes. The Calculus of Functions of Several Variables The Calculus of Functions of Several Variables Section 1.4 Lines, Planes, Hyperplanes In this section we will add to our basic geometric understing of R n by studying lines planes. If we do this carefully,

More information

One advantage of this algebraic approach is that we can write down

One 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 information

9.4. The Scalar Product. Introduction. Prerequisites. Learning Style. Learning Outcomes

9.4. 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 information

Dot product and vector projections (Sect. 12.3) There are two main ways to introduce the dot product

Dot product and vector projections (Sect. 12.3) There are two main ways to introduce the dot product Dot product and vector projections (Sect. 12.3) Two definitions for the dot product. Geometric definition of dot product. Orthogonal vectors. Dot product and orthogonal projections. Properties of the dot

More information

Figure 1.1 Vector A and Vector F

Figure 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 information

9 Multiplication of Vectors: The Scalar or Dot Product

9 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 information

13.4 THE CROSS PRODUCT

13.4 THE CROSS PRODUCT 710 Chapter Thirteen A FUNDAMENTAL TOOL: VECTORS 62. Use the following steps and the results of Problems 59 60 to show (without trigonometry) that the geometric and algebraic definitions of the dot product

More information

Math 241 Lines and Planes (Solutions) x = 3 3t. z = 1 t. x = 5 + t. z = 7 + 3t

Math 241 Lines and Planes (Solutions) x = 3 3t. z = 1 t. x = 5 + t. z = 7 + 3t Math 241 Lines and Planes (Solutions) The equations for planes P 1, P 2 and P are P 1 : x 2y + z = 7 P 2 : x 4y + 5z = 6 P : (x 5) 2(y 6) + (z 7) = 0 The equations for lines L 1, L 2, L, L 4 and L 5 are

More information

1.3. 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. 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 information

Geometry of Vectors. 1 Cartesian Coordinates. Carlo Tomasi

Geometry of Vectors. 1 Cartesian Coordinates. Carlo Tomasi Geometry of Vectors Carlo Tomasi This note explores the geometric meaning of norm, inner product, orthogonality, and projection for vectors. For vectors in three-dimensional space, we also examine the

More information

Adding vectors We can do arithmetic with vectors. We ll start with vector addition and related operations. Suppose you have two vectors

Adding vectors We can do arithmetic with vectors. We ll start with vector addition and related operations. Suppose you have two vectors 1 Chapter 13. VECTORS IN THREE DIMENSIONAL SPACE Let s begin with some names and notation for things: R is the set (collection) of real numbers. We write x R to mean that x is a real number. A real number

More information

a.) Write the line 2x - 4y = 9 into slope intercept form b.) Find the slope of the line parallel to part a

a.) 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 information

L 2 : x = s + 1, y = s, z = 4s + 4. 3. Suppose that C has coordinates (x, y, z). Then from the vector equality AC = BD, one has

L 2 : x = s + 1, y = s, z = 4s + 4. 3. Suppose that C has coordinates (x, y, z). Then from the vector equality AC = BD, one has The line L through the points A and B is parallel to the vector AB = 3, 2, and has parametric equations x = 3t + 2, y = 2t +, z = t Therefore, the intersection point of the line with the plane should satisfy:

More information

Section 9.5: Equations of Lines and Planes

Section 9.5: Equations of Lines and Planes Lines in 3D Space Section 9.5: Equations of Lines and Planes Practice HW from Stewart Textbook (not to hand in) p. 673 # 3-5 odd, 2-37 odd, 4, 47 Consider the line L through the point P = ( x, y, ) that

More information

28 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. 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 information

GCE Mathematics (6360) Further Pure unit 4 (MFP4) Textbook

GCE Mathematics (6360) Further Pure unit 4 (MFP4) Textbook Version 36 klm GCE Mathematics (636) Further Pure unit 4 (MFP4) Textbook The Assessment and Qualifications Alliance (AQA) is a company limited by guarantee registered in England and Wales 364473 and a

More information

Vectors Math 122 Calculus III D Joyce, Fall 2012

Vectors 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 information

Math 241, Exam 1 Information.

Math 241, Exam 1 Information. Math 241, Exam 1 Information. 9/24/12, LC 310, 11:15-12:05. Exam 1 will be based on: Sections 12.1-12.5, 14.1-14.3. The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/241fa12/241.html)

More information

Vectors 2. The METRIC Project, Imperial College. Imperial College of Science Technology and Medicine, 1996.

Vectors 2. The METRIC Project, Imperial College. Imperial College of Science Technology and Medicine, 1996. Vectors 2 The METRIC Project, Imperial College. Imperial College of Science Technology and Medicine, 1996. Launch Mathematica. Type

More information

Exam 1 Sample Question SOLUTIONS. y = 2x

Exam 1 Sample Question SOLUTIONS. y = 2x Exam Sample Question SOLUTIONS. Eliminate the parameter to find a Cartesian equation for the curve: x e t, y e t. SOLUTION: You might look at the coordinates and notice that If you don t see it, we can

More information

Vector Algebra II: Scalar and Vector Products

Vector Algebra II: Scalar and Vector Products Chapter 2 Vector Algebra II: Scalar and Vector Products We saw in the previous chapter how vector quantities may be added and subtracted. In this chapter we consider the products of vectors and define

More information

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus Chapter 1 Matrices, Vectors, and Vector Calculus In this chapter, we will focus on the mathematical tools required for the course. The main concepts that will be covered are: Coordinate transformations

More information

The Dot and Cross Products

The 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 information

JUST THE MATHS UNIT NUMBER 8.5. VECTORS 5 (Vector equations of straight lines) A.J.Hobson

JUST THE MATHS UNIT NUMBER 8.5. VECTORS 5 (Vector equations of straight lines) A.J.Hobson JUST THE MATHS UNIT NUMBER 8.5 VECTORS 5 (Vector equations of straight lines) by A.J.Hobson 8.5.1 Introduction 8.5. The straight line passing through a given point and parallel to a given vector 8.5.3

More information

Mathematics Notes for Class 12 chapter 10. Vector Algebra

Mathematics Notes for Class 12 chapter 10. Vector Algebra 1 P a g e Mathematics Notes for Class 12 chapter 10. Vector Algebra A vector has direction and magnitude both but scalar has only magnitude. Magnitude of a vector a is denoted by a or a. It is non-negative

More information

Section 1.1. Introduction to R n

Section 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 information

3. INNER PRODUCT SPACES

3. INNER PRODUCT SPACES . INNER PRODUCT SPACES.. Definition So far we have studied abstract vector spaces. These are a generalisation of the geometric spaces R and R. But these have more structure than just that of a vector space.

More information

Vector Notation: AB represents the vector from point A to point B on a graph. The vector can be computed by B A.

Vector 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 information

CHAPTER FIVE. 5. Equations of Lines in R 3

CHAPTER FIVE. 5. Equations of Lines in R 3 118 CHAPTER FIVE 5. Equations of Lines in R 3 In this chapter it is going to be very important to distinguish clearly between points and vectors. Frequently in the past the distinction has only been a

More information

THREE DIMENSIONAL GEOMETRY

THREE 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 information

Two vectors are equal if they have the same length and direction. They do not

Two vectors are equal if they have the same length and direction. They do not Vectors define vectors Some physical quantities, such as temperature, length, and mass, can be specified by a single number called a scalar. Other physical quantities, such as force and velocity, must

More information

12.5 Equations of Lines and Planes

12.5 Equations of Lines and Planes Instructor: Longfei Li Math 43 Lecture Notes.5 Equations of Lines and Planes What do we need to determine a line? D: a point on the line: P 0 (x 0, y 0 ) direction (slope): k 3D: a point on the line: P

More information

South Carolina College- and Career-Ready (SCCCR) Pre-Calculus

South Carolina College- and Career-Ready (SCCCR) Pre-Calculus South Carolina College- and Career-Ready (SCCCR) Pre-Calculus Key Concepts Arithmetic with Polynomials and Rational Expressions PC.AAPR.2 PC.AAPR.3 PC.AAPR.4 PC.AAPR.5 PC.AAPR.6 PC.AAPR.7 Standards Know

More information

Equations Involving Lines and Planes Standard equations for lines in space

Equations 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 information

Lecture 2 Matrix Operations

Lecture 2 Matrix Operations Lecture 2 Matrix Operations transpose, sum & difference, scalar multiplication matrix multiplication, matrix-vector product matrix inverse 2 1 Matrix transpose transpose of m n matrix A, denoted A T or

More information

Factorising quadratics

Factorising quadratics Factorising quadratics An essential skill in many applications is the ability to factorise quadratic expressions. In this unit you will see that this can be thought of as reversing the process used to

More information

6. Vectors. 1 2009-2016 Scott Surgent (surgent@asu.edu)

6. 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 information

Co-ordinate Geometry THE EQUATION OF STRAIGHT LINES

Co-ordinate Geometry THE EQUATION OF STRAIGHT LINES Co-ordinate Geometry THE EQUATION OF STRAIGHT LINES This section refers to the properties of straight lines and curves using rules found by the use of cartesian co-ordinates. The Gradient of a Line. As

More information

Vector Algebra CHAPTER 13. Ü13.1. Basic Concepts

Vector Algebra CHAPTER 13. Ü13.1. Basic Concepts CHAPTER 13 ector Algebra Ü13.1. Basic Concepts A vector in the plane or in space is an arrow: it is determined by its length, denoted and its direction. Two arrows represent the same vector if they have

More information

In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature.

In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature. Percentages mc-ty-percent-009-1 In this unit we shall look at the meaning of percentages and carry out calculations involving percentages. We will also look at the use of the percentage button on calculators.

More information

Chapter 7. Cartesian Vectors. By the end of this chapter, you will

Chapter 7. Cartesian Vectors. By the end of this chapter, you will Chapter 7 Cartesian Vectors Simple vector quantities can be expressed geometrically. However, as the applications become more complex, or involve a third dimension, you will need to be able to express

More information

Example 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

Example 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 information

Recall that two vectors in are perpendicular or orthogonal provided that their dot

Recall that two vectors in are perpendicular or orthogonal provided that their dot Orthogonal Complements and Projections Recall that two vectors in are perpendicular or orthogonal provided that their dot product vanishes That is, if and only if Example 1 The vectors in are orthogonal

More information

MTH4103: Geometry I. Dr John N. Bray, Queen Mary, University of London

MTH4103: Geometry I. Dr John N. Bray, Queen Mary, University of London MTH4103: Geometry I Dr John N Bray, Queen Mary, University of London January March 2014 Contents Preface iv 1 Vectors 1 11 Introduction 1 12 Vectors 2 13 The zero vector 3 14 Vector negation 3 15 Parallelograms

More information

Section 10.4 Vectors

Section 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 information

Definition: A vector is a directed line segment that has and. Each vector has an initial point and a terminal point.

Definition: A vector is a directed line segment that has and. Each vector has an initial point and a terminal point. 6.1 Vectors in the Plane PreCalculus 6.1 VECTORS IN THE PLANE Learning Targets: 1. Find the component form and the magnitude of a vector.. Perform addition and scalar multiplication of two vectors. 3.

More information

Linear Algebra Notes for Marsden and Tromba Vector Calculus

Linear 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 information

Module 8 Lesson 4: Applications of Vectors

Module 8 Lesson 4: Applications of Vectors Module 8 Lesson 4: Applications of Vectors So now that you have learned the basic skills necessary to understand and operate with vectors, in this lesson, we will look at how to solve real world problems

More information

Many common functions are polynomial functions. In this unit we describe polynomial functions and look at some of their properties.

Many common functions are polynomial functions. In this unit we describe polynomial functions and look at some of their properties. Polynomial functions mc-ty-polynomial-2009-1 Many common functions are polynomial functions. In this unit we describe polynomial functions and look at some of their properties. In order to master the techniques

More information

Numerical Analysis Lecture Notes

Numerical 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 information

α = u v. In other words, Orthogonal Projection

α = 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 information

Mathematics 205 HWK 6 Solutions Section 13.3 p627. Note: Remember that boldface is being used here, rather than overhead arrows, to indicate vectors.

Mathematics 205 HWK 6 Solutions Section 13.3 p627. Note: Remember that boldface is being used here, rather than overhead arrows, to indicate vectors. Mathematics 205 HWK 6 Solutions Section 13.3 p627 Note: Remember that boldface is being used here, rather than overhead arrows, to indicate vectors. Problem 5, 13.3, p627. Given a = 2j + k or a = (0,2,

More information

LINES AND PLANES CHRIS JOHNSON

LINES AND PLANES CHRIS JOHNSON LINES AND PLANES CHRIS JOHNSON Abstract. In this lecture we derive the equations for lines and planes living in 3-space, as well as define the angle between two non-parallel planes, and determine the distance

More information

Mechanics lecture 7 Moment of a force, torque, equilibrium of a body

Mechanics lecture 7 Moment of a force, torque, equilibrium of a body G.1 EE1.el3 (EEE1023): Electronics III Mechanics lecture 7 Moment of a force, torque, equilibrium of a body Dr Philip Jackson http://www.ee.surrey.ac.uk/teaching/courses/ee1.el3/ G.2 Moments, torque and

More information

Geometric description of the cross product of the vectors u and v. The cross product of two vectors is a vector! u x v is perpendicular to u and v

Geometric description of the cross product of the vectors u and v. The cross product of two vectors is a vector! u x v is perpendicular to u and v 12.4 Cross Product Geometric description of the cross product of the vectors u and v The cross product of two vectors is a vector! u x v is perpendicular to u and v The length of u x v is uv u v sin The

More information

MAT 1341: REVIEW II SANGHOON BAEK

MAT 1341: REVIEW II SANGHOON BAEK MAT 1341: REVIEW II SANGHOON BAEK 1. Projections and Cross Product 1.1. Projections. Definition 1.1. Given a vector u, the rectangular (or perpendicular or orthogonal) components are two vectors u 1 and

More information

Identifying second degree equations

Identifying second degree equations Chapter 7 Identifing second degree equations 7.1 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 information

Mathematics Course 111: Algebra I Part IV: Vector Spaces

Mathematics 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 information

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS

A QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors

More information

2 Session Two - Complex Numbers and Vectors

2 Session Two - Complex Numbers and Vectors PH2011 Physics 2A Maths Revision - Session 2: Complex Numbers and Vectors 1 2 Session Two - Complex Numbers and Vectors 2.1 What is a Complex Number? The material on complex numbers should be familiar

More information

PRIMARY CONTENT MODULE Algebra I -Linear Equations & Inequalities T-71. Applications. F = mc + b.

PRIMARY CONTENT MODULE Algebra I -Linear Equations & Inequalities T-71. Applications. F = mc + b. PRIMARY CONTENT MODULE Algebra I -Linear Equations & Inequalities T-71 Applications The formula y = mx + b sometimes appears with different symbols. For example, instead of x, we could use the letter C.

More information

Vector Math Computer Graphics Scott D. Anderson

Vector 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 information

LINEAR ALGEBRA W W L CHEN

LINEAR ALGEBRA W W L CHEN LINEAR ALGEBRA W W L CHEN c W W L Chen, 1982, 2008. This chapter originates from material used by author at Imperial College, University of London, between 1981 and 1990. It is available free to all individuals,

More information

Review of Vector Analysis in Cartesian Coordinates

Review of Vector Analysis in Cartesian Coordinates R. evicky, CBE 6333 Review of Vector Analysis in Cartesian Coordinates Scalar: A quantity that has magnitude, but no direction. Examples are mass, temperature, pressure, time, distance, and real numbers.

More information

Lines and Planes 1. x(t) = at + b y(t) = ct + d

Lines 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. The equation is not unique for if we multipl both sides b

More information

v w is orthogonal to both v and w. the three vectors v, w and v w form a right-handed set of vectors.

v 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 information

Section V.3: Dot Product

Section V.3: Dot Product Section V.3: Dot Product Introduction So far we have looked at operations on a single vector. There are a number of ways to combine two vectors. Vector addition and subtraction will not be covered here,

More information

13 MATH FACTS 101. 2 a = 1. 7. The elements of a vector have a graphical interpretation, which is particularly easy to see in two or three dimensions.

13 MATH FACTS 101. 2 a = 1. 7. The elements of a vector have a graphical interpretation, which is particularly easy to see in two or three dimensions. 3 MATH FACTS 0 3 MATH FACTS 3. Vectors 3.. Definition We use the overhead arrow to denote a column vector, i.e., a linear segment with a direction. For example, in three-space, we write a vector in terms

More information

Section 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.

Section 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 information

Unit 11 Additional Topics in Trigonometry - Classwork

Unit 11 Additional Topics in Trigonometry - Classwork Unit 11 Additional Topics in Trigonometry - Classwork In geometry and physics, concepts such as temperature, mass, time, length, area, and volume can be quantified with a single real number. These are

More information

Section 5.3. Section 5.3. u m ] l jj. = l jj u j + + l mj u m. v j = [ u 1 u j. l mj

Section 5.3. Section 5.3. u m ] l jj. = l jj u j + + l mj u m. v j = [ u 1 u j. l mj Section 5. l j v j = [ u u j u m ] l jj = l jj u j + + l mj u m. l mj Section 5. 5.. Not orthogonal, the column vectors fail to be perpendicular to each other. 5..2 his matrix is orthogonal. Check that

More information

Name Class. Date Section. Test Form A Chapter 11. Chapter 11 Test Bank 155

Name Class. Date Section. Test Form A Chapter 11. Chapter 11 Test Bank 155 Chapter Test Bank 55 Test Form A Chapter Name Class Date Section. Find a unit vector in the direction of v if v is the vector from P,, 3 to Q,, 0. (a) 3i 3j 3k (b) i j k 3 i 3 j 3 k 3 i 3 j 3 k. Calculate

More information

Part I. Basic Maths for Game Design

Part I. Basic Maths for Game Design Part I Basic Maths for Game Design 1 Chapter 1 Basic Vector Algebra 1.1 What's a vector? Why do you need it? A vector is a mathematical object used to represent some magnitudes. For example, temperature

More information

Introduction to Matrices for Engineers

Introduction to Matrices for Engineers Introduction to Matrices for Engineers C.T.J. Dodson, School of Mathematics, Manchester Universit 1 What is a Matrix? A matrix is a rectangular arra of elements, usuall numbers, e.g. 1 0-8 4 0-1 1 0 11

More information

Chapter 3B - Vectors. A PowerPoint Presentation by Paul E. Tippens, Professor of Physics Southern Polytechnic State University

Chapter 3B - Vectors. A PowerPoint Presentation by Paul E. Tippens, Professor of Physics Southern Polytechnic State University Chapter 3B - Vectors A PowerPoint Presentation by Paul E. Tippens, Professor of Physics Southern Polytechnic State University 2007 Vectors Surveyors use accurate measures of magnitudes and directions to

More information

discuss how to describe points, lines and planes in 3 space.

discuss 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 information

PHYSICS 151 Notes for Online Lecture #6

PHYSICS 151 Notes for Online Lecture #6 PHYSICS 151 Notes for Online Lecture #6 Vectors - A vector is basically an arrow. The length of the arrow represents the magnitude (value) and the arrow points in the direction. Many different quantities

More information

Solutions to old Exam 1 problems

Solutions to old Exam 1 problems Solutions to old Exam 1 problems Hi students! I am putting this old version of my review for the first midterm review, place and time to be announced. Check for updates on the web site as to which sections

More information

1 VECTOR SPACES AND SUBSPACES

1 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 information

A Primer on Index Notation

A Primer on Index Notation A Primer on John Crimaldi August 28, 2006 1. Index versus Index notation (a.k.a. Cartesian notation) is a powerful tool for manipulating multidimensional equations. However, there are times when the more

More information

CBE 6333, R. Levicky 1. Tensor Notation.

CBE 6333, R. Levicky 1. Tensor Notation. CBE 6333, R. Levicky 1 Tensor Notation. Engineers and scientists find it useful to have a general terminology to indicate how many directions are associated with a physical quantity such as temperature

More information

Review A: Vector Analysis

Review A: Vector Analysis MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Physics 8.02 Review A: Vector Analysis A... A-0 A.1 Vectors A-2 A.1.1 Introduction A-2 A.1.2 Properties of a Vector A-2 A.1.3 Application of Vectors

More information

The Matrix Elements of a 3 3 Orthogonal Matrix Revisited

The Matrix Elements of a 3 3 Orthogonal Matrix Revisited Physics 116A Winter 2011 The Matrix Elements of a 3 3 Orthogonal Matrix Revisited 1. Introduction In a class handout entitled, Three-Dimensional Proper and Improper Rotation Matrices, I provided a derivation

More information

Vector Algebra and Calculus

Vector Algebra and Calculus Vector Algebra and Calculus 1. Revision of vector algebra, scalar product, vector product 2. Triple products, multiple products, applications to geometry 3. Differentiation of vector functions, applications

More information

Determine whether the following lines intersect, are parallel, or skew. L 1 : x = 6t y = 1 + 9t z = 3t. x = 1 + 2s y = 4 3s z = s

Determine whether the following lines intersect, are parallel, or skew. L 1 : x = 6t y = 1 + 9t z = 3t. x = 1 + 2s y = 4 3s z = s Homework Solutions 5/20 10.5.17 Determine whether the following lines intersect, are parallel, or skew. L 1 : L 2 : x = 6t y = 1 + 9t z = 3t x = 1 + 2s y = 4 3s z = s A vector parallel to L 1 is 6, 9,

More information

Vectors. Objectives. Assessment. Assessment. Equations. Physics terms 5/15/14. State the definition and give examples of vector and scalar variables.

Vectors. Objectives. Assessment. Assessment. Equations. Physics terms 5/15/14. State the definition and give examples of vector and scalar variables. Vectors Objectives State the definition and give examples of vector and scalar variables. Analyze and describe position and movement in two dimensions using graphs and Cartesian coordinates. Organize and

More information

Factoring Polynomials and Solving Quadratic Equations

Factoring Polynomials and Solving Quadratic Equations Factoring Polynomials and Solving Quadratic Equations Math Tutorial Lab Special Topic Factoring Factoring Binomials Remember that a binomial is just a polynomial with two terms. Some examples include 2x+3

More information

Similarity and Diagonalization. Similar Matrices

Similarity 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 information