Geometry review, part I

Size: px
Start display at page:

Download "Geometry review, part I"

Transcription

1 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, parallel lines Planes implicit and parametric equations intersections ith lines

2 Geometr s. coordinates Geometric ie: a ector is a directed line segment, ith position ignored. different line segments (but ith the same length and direction) define the same ector A ector can be thought of as a translation. Algebraic ie: a ector is a pair of numbers Vectors and points Vector = directed segment ith position ignored + - c addition negation multiplication b number Operations on points and ectors: point - point = ector point + ector = point

3 Dot product Dot product: used to compute projections, angles and lengths. Notation: ( ) = dot product of ectors and. ( ) = cosα, α = length of Properties: if and are perpendicular, ( ) = 0 ( ) = angle beteen and : cosα= ( )/ length of projection of on : ( )/ Coordinate sstems For computations, ectors can be described as pairs (D), triples (3D), of numbers. Coordinate sstem (D) = point (origin) + basis ectors. Orthogonal coordinate sstem: basis ectors perpendicular. Orthonormal coordinate sstem: basis ectors perpendicular and of unit length. Representation of a ector in a coordinate sstem: numbers equal to the lengths (signed) of projections on basis ectors.

4 Operations in coordinates = ( e )e + ( e )e e orks onl for orthonormal coordinates! e = e + e = [, ] Operations in coordinate form: + = [, ]+ [, ]= [ +, + ] - = [ -, - ] α = = [α, α ] Dot product in coordinates α α α cosα = cos( α α = = = (cos ( + α cosα / + + sinα / ) sinα ) ) Linear properties become obious: ( (+) u) = ( u) + ( u) (a ) = a( )

5 3D ectors Same as D (directed line segments ith position ignored), but e hae different properties. In D, the ector perpendicular to a gien ector is unique (up to a scale). In 3D, it is not. To 3D ectors in 3D can be multiplied to get a ector (ector or cross product). Dot product orks the same a, but the coordinate epression is ( ) = + + Vector (cross) product has length sinα = area of the parallelogram ith to sides gien b and, and is perpendicular to the plane of and. Direction (up or don) is ( + ) u = u + u determined b ( c) = c( ) the right-hand rule. = - unlike a product of numbers or dot product, ector product is not commutatie!

6 Vector product Coordinate epressions is perpendicular to, and : ( u ) = 0 (u ) = 0 the length of u is sinα : (u u) = sin α = ( 1 cos α) = ( (,)) Sole three equations for u, u, u Vector product Phsical interpretation: torque ais of rotation torque = displacement r r F force F

7 Vector product Coordinate epression: =,det det, det e e e det Notice that if = =0, that is, ectors are D, the cross product has onl one nonero component () and its length is the determinant det Vector product More properties c(a b) b(a c) c)) a (b ( = (b c)(a d) (a c)(b d) d)) b) (c a (( =

8 Line equations Intersecting to lines: 1 1 take one in implicit form: ((q p ) n ) = 0 the other in parametric: q = p + t i i If q = p + t is the intersection point, it satisfies both equations. Plug parametric into implicit, sole for t i : If i 1 ((p + t p ) n ) = i (p p n ) ( n ) 0, then t = 1 ( n ) Otherise, the lines are parallel or coincide. 001, Denis Zorin Plane equations implicit equation: (q-p,n)=0, eactl like line in D! n q p parametric equation: parameters t 1,t q(t 1,t ) = 1 t 1 + t, here 1 and are to ectors in the plane. = n 001, Denis Zorin 1

9 Intersecting a line and a plane Same old trick: use the parametric equation for the line, implicit for the plane. p 1 n qi p (p 1 i + t p n) = 0 t i 1 (p p n) = ( n) Do not forget to check for ero in the denominator! 001, Denis Zorin Transformations Eamples of transformations: translation rotation scaling shear 001, Denis Zorin 3

Math 425 Lecture 1: Vectors in R 3, R n

Math 425 Lecture 1: Vectors in R 3, R n Math 425 Lecture 1: Vectors in R 3, R n Motiating Questions, Problems 1. Find the coordinates of a regular tetrahedron with center at the origin and sides of length 1. 2. What is the angle between the

More information

Vectors in R n. P. Danziger

Vectors in R n. P. Danziger 1 Vectors in R n P. Danziger 1 Vectors The standard geometric definition of ector is as something which has direction and magnitude but not position. Since ectors hae no position we may place them whereer

More information

Chapter 3. Systems of Linear Equations: Geometry

Chapter 3. Systems of Linear Equations: Geometry Chapter 3 Systems of Linear Equations: Geometry Motiation We ant to think about the algebra in linear algebra (systems of equations and their solution sets) in terms of geometry (points, lines, planes,

More information

CS 335 Graphics and Multimedia. 2D Graphics Primitives and Transformation

CS 335 Graphics and Multimedia. 2D Graphics Primitives and Transformation C 335 Graphics and Multimedia D Graphics Primitives and Transformation Basic Mathematical Concepts Review Coordinate Reference Frames D Cartesian Reference Frames (a) (b) creen Cartesian reference sstems

More information

Lecture 5. Equations of Lines and Planes. Dan Nichols MATH 233, Spring 2018 University of Massachusetts.

Lecture 5. Equations of Lines and Planes. Dan Nichols MATH 233, Spring 2018 University of Massachusetts. Lecture 5 Equations of Lines and Planes Dan Nichols nichols@math.umass.edu MATH 233, Spring 2018 Universit of Massachusetts Februar 6, 2018 (2) Upcoming midterm eam First midterm: Wednesda Feb. 21, 7:00-9:00

More information

Cumulative Review of Vectors

Cumulative 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 information

What you will learn today

What you will learn today What you will learn today The Dot Product Equations of Vectors and the Geometry of Space 1/29 Direction angles and Direction cosines Projections Definitions: 1. a : a 1, a 2, a 3, b : b 1, b 2, b 3, a

More information

Objective 1. Lesson 87: The Cross Product of Vectors IBHL - SANTOWSKI FINDING THE CROSS PRODUCT OF TWO VECTORS

Objective 1. Lesson 87: The Cross Product of Vectors IBHL - SANTOWSKI FINDING THE CROSS PRODUCT OF TWO VECTORS Lesson 87: The Cross Product of Vectors IBHL - SANTOWSKI In this lesson you will learn how to find the cross product of two vectors how to find an orthogonal vector to a plane defined by two vectors how

More information

Overview. Distances in R 3. Distance from a point to a plane. Question

Overview. Distances in R 3. Distance from a point to a plane. Question Overview Yesterda we introduced equations to describe lines and planes in R 3 : r + tv The vector equation for a line describes arbitrar points r in terms of a specific point and the direction vector v.

More information

Announcements Wednesday, September 06

Announcements Wednesday, September 06 Announcements Wednesday, September 06 WeBWorK due on Wednesday at 11:59pm. The quiz on Friday coers through 1.2 (last eek s material). My office is Skiles 244 and my office hours are Monday, 1 3pm and

More information

The Dot Product

The Dot Product The Dot Product 1-9-017 If = ( 1,, 3 ) and = ( 1,, 3 ) are ectors, the dot product of and is defined algebraically as = 1 1 + + 3 3. Example. (a) Compute the dot product (,3, 7) ( 3,,0). (b) Compute the

More information

The Cross Product. In this section, we will learn about: Cross products of vectors and their applications.

The Cross Product. In this section, we will learn about: Cross products of vectors and their applications. The Cross Product In this section, we will learn about: Cross products of vectors and their applications. THE CROSS PRODUCT The cross product a x b of two vectors a and b, unlike the dot product, is a

More information

8.0 Definition and the concept of a vector:

8.0 Definition and the concept of a vector: Chapter 8: Vectors In this chapter, we will study: 80 Definition and the concept of a ector 81 Representation of ectors in two dimensions (2D) 82 Representation of ectors in three dimensions (3D) 83 Operations

More information

LECTURE 2: CROSS PRODUCTS, MULTILINEARITY, AND AREAS OF PARALLELOGRAMS

LECTURE 2: CROSS PRODUCTS, MULTILINEARITY, AND AREAS OF PARALLELOGRAMS LECTURE : CROSS PRODUCTS, MULTILINEARITY, AND AREAS OF PARALLELOGRAMS MA1111: LINEAR ALGEBRA I, MICHAELMAS 016 1. Finishing up dot products Last time we stated the following theorem, for which I owe you

More information

Section 13.4 The Cross Product

Section 13.4 The Cross Product Section 13.4 The Cross Product Multiplying Vectors 2 In this section we consider the more technical multiplication which can be defined on vectors in 3-space (but not vectors in 2-space). 1. Basic Definitions

More information

Part I, Number Systems CS131 Mathematics for Computer Scientists II Note 3 VECTORS

Part I, Number Systems CS131 Mathematics for Computer Scientists II Note 3 VECTORS CS131 Part I, Number Systems CS131 Mathematics for Computer Scientists II Note 3 VECTRS Vectors in two and three dimensional space are defined to be members of the sets R 2 and R 3 defined by: R 2 = {(x,

More information

Systems of Linear Equations: Solving by Graphing

Systems of Linear Equations: Solving by Graphing 8.1 Sstems of Linear Equations: Solving b Graphing 8.1 OBJECTIVE 1. Find the solution(s) for a set of linear equations b graphing NOTE There is no other ordered pair that satisfies both equations. From

More information

Announcements Wednesday, September 06. WeBWorK due today at 11:59pm. The quiz on Friday covers through Section 1.2 (last weeks material)

Announcements Wednesday, September 06. WeBWorK due today at 11:59pm. The quiz on Friday covers through Section 1.2 (last weeks material) Announcements Wednesday, September 06 WeBWorK due today at 11:59pm. The quiz on Friday coers through Section 1.2 (last eeks material) Announcements Wednesday, September 06 Good references about applications(introductions

More information

( ) ( ) ( ) ( ) TNM046: Datorgrafik. Transformations. Linear Algebra. Linear Algebra. Sasan Gooran VT Transposition. Scalar (dot) product:

( ) ( ) ( ) ( ) TNM046: Datorgrafik. Transformations. Linear Algebra. Linear Algebra. Sasan Gooran VT Transposition. Scalar (dot) product: TNM046: Datorgrafik Transformations Sasan Gooran VT 04 Linear Algebra ( ) ( ) =,, 3 =,, 3 Transposition t = 3 t = 3 Scalar (dot) product: Length (Norm): = t = + + 3 3 = = + + 3 Normaliation: ˆ = Linear

More information

Unit 12 Study Notes 1 Systems of Equations

Unit 12 Study Notes 1 Systems of Equations You should learn to: Unit Stud Notes Sstems of Equations. Solve sstems of equations b substitution.. Solve sstems of equations b graphing (calculator). 3. Solve sstems of equations b elimination. 4. Solve

More information

MOTION IN 2-DIMENSION (Projectile & Circular motion And Vectors)

MOTION IN 2-DIMENSION (Projectile & Circular motion And Vectors) MOTION IN -DIMENSION (Projectile & Circular motion nd Vectors) INTRODUCTION The motion of an object is called two dimensional, if two of the three co-ordinates required to specif the position of the object

More information

Space Coordinates and Vectors in Space. Coordinates in Space

Space 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 information

Geometry of Span (continued) The Plane Spanned by u and v

Geometry of Span (continued) The Plane Spanned by u and v Geometric Description of Span Geometr of Span (contined) 2 Geometr of Span (contined) 2 Span {} Span {, } 2 Span {} 2 Geometr of Span (contined) 2 b + 2 The Plane Spanned b and If a plane is spanned b

More information

Math 20C. Lecture Examples.

Math 20C. Lecture Examples. Math 20C. Lecture Eamples. (8/1/08) Section 12.2. Vectors in three dimensions To use rectangular z-coordinates in three-dimensional space, e introduce mutuall perpendicular -, -, and z-aes intersecting

More information

CHAPTER 3 : VECTORS. Definition 3.1 A vector is a quantity that has both magnitude and direction.

CHAPTER 3 : VECTORS. Definition 3.1 A vector is a quantity that has both magnitude and direction. EQT 101-Engineering Mathematics I Teaching Module CHAPTER 3 : VECTORS 3.1 Introduction Definition 3.1 A ector is a quantity that has both magnitude and direction. A ector is often represented by an arrow

More information

6.1.1 Angle between Two Lines Intersection of Two lines Shortest Distance from a Point to a Line

6.1.1 Angle between Two Lines Intersection of Two lines Shortest Distance from a Point to a Line CHAPTER 6 : VECTORS 6. Lines in Space 6.. Angle between Two Lines 6.. Intersection of Two lines 6..3 Shortest Distance from a Point to a Line 6. Planes in Space 6.. Intersection of Two Planes 6.. Angle

More information

Ch. 7.3, 7.4: Vectors and Complex Numbers

Ch. 7.3, 7.4: Vectors and Complex Numbers Ch. 7.3, 7.4: Vectors and Complex Numbers Johns Hopkins University Fall 2014 (Johns Hopkins University) Ch. 7.3, 7.4: Vectors and Complex Numbers Fall 2014 1 / 38 Vectors(1) Definition (Vector) A vector

More information

Analytic Geometry in Three Dimensions

Analytic 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 information

Review of Coordinate Systems

Review of Coordinate Systems Vector in 2 R and 3 R Review of Coordinate Systems Used to describe the position of a point in space Common coordinate systems are: Cartesian Polar Cartesian Coordinate System Also called rectangular coordinate

More information

Outline. MA 138 Calculus 2 with Life Science Applications Linear Maps (Section 9.3) Graphical Representation of (Column) Vectors. Addition of Vectors

Outline. MA 138 Calculus 2 with Life Science Applications Linear Maps (Section 9.3) Graphical Representation of (Column) Vectors. Addition of Vectors MA 8 Calculus with Life Science Applications Linear Maps (Section 9) Alberto Corso albertocorso@ukedu Department of Mathematics Uniersit of Kentuck Wednesda, March 8, 07 Outline We mostl focus on matrices,

More information

Chapter 2: Vector Geometry

Chapter 2: Vector Geometry Chapter 2: Vector Geometry Daniel Chan UNSW Semester 1 2018 Daniel Chan (UNSW) Chapter 2: Vector Geometry Semester 1 2018 1 / 32 Goals of this chapter In this chapter, we will answer the following geometric

More information

Homework 2. Solutions T =

Homework 2. Solutions T = Homework. s Let {e x, e y, e z } be an orthonormal basis in E. Consider the following ordered triples: a) {e x, e x + e y, 5e z }, b) {e y, e x, 5e z }, c) {e y, e x, e z }, d) {e y, e x, 5e z }, e) {

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

( 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 information

Algebra Review C H A P T E R. To solve an algebraic equation with one variable, find the value of the unknown variable.

Algebra Review C H A P T E R. To solve an algebraic equation with one variable, find the value of the unknown variable. C H A P T E R 6 Algebra Review This chapter reviews key skills and concepts of algebra that you need to know for the SAT. Throughout the chapter are sample questions in the style of SAT questions. Each

More information

Physically Based Rendering ( ) Geometry and Transformations

Physically Based Rendering ( ) Geometry and Transformations Phsicall Based Rendering (6.657) Geometr and Transformations 3D Point Specifies a location Origin 3D Point Specifies a location Represented b three coordinates Infinitel small class Point3D { public: Coordinate

More information

Lesson 81: The Cross Product of Vectors

Lesson 81: The Cross Product of Vectors Lesson 8: The Cross Prodct of Vectors IBHL - SANTOWSKI In this lesson yo will learn how to find the cross prodct of two ectors how to find an orthogonal ector to a plane defined by two ectors how to find

More information

RELATIONS AND FUNCTIONS through

RELATIONS AND FUNCTIONS through RELATIONS AND FUNCTIONS 11.1.2 through 11.1. Relations and Functions establish a correspondence between the input values (usuall ) and the output values (usuall ) according to the particular relation or

More information

The Cross Product. MATH 311, Calculus III. J. Robert Buchanan. Fall Department of Mathematics. J. Robert Buchanan The Cross Product

The Cross Product. MATH 311, Calculus III. J. Robert Buchanan. Fall Department of Mathematics. J. Robert Buchanan The Cross Product The Cross Product MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Fall 2011 Introduction Recall: the dot product of two vectors is a scalar. There is another binary operation on vectors

More information

Mon Apr dot product, length, orthogonality, projection onto the span of a single vector. Announcements: Warm-up Exercise:

Mon Apr dot product, length, orthogonality, projection onto the span of a single vector. Announcements: Warm-up Exercise: Math 2270-004 Week 2 notes We will not necessarily finish the material from a gien day's notes on that day. We may also add or subtract some material as the week progresses, but these notes represent an

More information

Math 20C. Lecture Examples.

Math 20C. Lecture Examples. Math 20C. Lecture Eamples. (8//08) Section 2.. Vectors in the plane Definition A ector represents a nonnegatie number and, if the number is not zero, a direction. The number associated ith the ector is

More information

Miscellaneous (dimension, angle, etc.) - black [pencil] Use different colors in diagrams. Body outline - blue [black] Vector

Miscellaneous (dimension, angle, etc.) - black [pencil] Use different colors in diagrams. Body outline - blue [black] Vector 1. Sstems of orces & s 2142111 Statics, 2011/2 Department of Mechanical Engineering, Chulalongkorn Uniersit bjecties Students must be able to Course bjectie Analze a sstem of forces and moments Chapter

More information

3 = arccos. A a and b are parallel, B a and b are perpendicular, C a and b are normalized, or D this is always true.

3 = arccos. A a and b are parallel, B a and b are perpendicular, C a and b are normalized, or D this is always true. Math 210-101 Test #1 Sept. 16 th, 2016 Name: Answer Key Be sure to show your work! 1. (20 points) Vector Basics: Let v = 1, 2,, w = 1, 2, 2, and u = 2, 1, 1. (a) Find the area of a parallelogram spanned

More information

we must pay attention to the role of the coordinate system w.r.t. which we perform a tform

we must pay attention to the role of the coordinate system w.r.t. which we perform a tform linear SO... we will want to represent the geometr of points in space we will often want to perform (rigid) transformations to these objects to position them translate rotate or move them in an animation

More information

Study guide for Exam 1. by William H. Meeks III October 26, 2012

Study guide for Exam 1. by William H. Meeks III October 26, 2012 Study guide for Exam 1. by William H. Meeks III October 2, 2012 1 Basics. First we cover the basic definitions and then we go over related problems. Note that the material for the actual midterm may include

More information

A Derivation of Free-rotation in the Three-dimensional Space

A Derivation of Free-rotation in the Three-dimensional Space International Conference on Adanced Information and Communication echnology for Education (ICAICE 013) A Deriation of Free-rotation in the hree-dimensional Space Legend Chen 1 1 Uniersity of Shanghai for

More information

An example of Lagrangian for a non-holonomic system

An example of Lagrangian for a non-holonomic system Uniersit of North Georgia Nighthaks Open Institutional Repositor Facult Publications Department of Mathematics 9-9-05 An eample of Lagrangian for a non-holonomic sstem Piotr W. Hebda Uniersit of North

More information

Math 241, Exam 1 Information.

Math 241, Exam 1 Information. Math 241, Exam 1 Information. 2/13/13, LC 310, 11:15-12:05. Exam 1 will be based on: Sections 12.1-12.5, 14.2. The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/241sp13/241.html)

More information

(arrows denote positive direction)

(arrows denote positive direction) 12 Chapter 12 12.1 3-dimensional Coordinate System The 3-dimensional coordinate system we use are coordinates on R 3. The coordinate is presented as a triple of numbers: (a,b,c). In the Cartesian coordinate

More information

Solutions to Selected Questions from Denis Sevee s Vector Geometry. (Updated )

Solutions to Selected Questions from Denis Sevee s Vector Geometry. (Updated ) Solutions to Selected Questions from Denis Sevee s Vector Geometry. (Updated 24--27) Denis Sevee s Vector Geometry notes appear as Chapter 5 in the current custom textbook used at John Abbott College for

More information

we must pay attention to the role of the coordinate system w.r.t. which we perform a tform

we must pay attention to the role of the coordinate system w.r.t. which we perform a tform linear SO... we will want to represent the geometr of points in space we will often want to perform (rigid) transformations to these objects to position them translate rotate or move them in an animation

More information

(1) Recap of Differential Calculus and Integral Calculus (2) Preview of Calculus in three dimensional space (3) Tools for Calculus 3

(1) Recap of Differential Calculus and Integral Calculus (2) Preview of Calculus in three dimensional space (3) Tools for Calculus 3 Math 127 Introduction and Review (1) Recap of Differential Calculus and Integral Calculus (2) Preview of Calculus in three dimensional space (3) Tools for Calculus 3 MATH 127 Introduction to Calculus III

More information

Chapter 1 Coordinates, points and lines

Chapter 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 information

VECTORS IN THREE DIMENSIONS

VECTORS 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 information

5.6. Differential equations

5.6. Differential equations 5.6. Differential equations The relationship between cause and effect in phsical phenomena can often be formulated using differential equations which describe how a phsical measure () and its derivative

More information

Determinants. Artem Los February 6th, Artem Los Determinants February 6th, / 16

Determinants. Artem Los February 6th, Artem Los Determinants February 6th, / 16 Determinants Artem Los (arteml@kth.se) February 6th, 2017 Artem Los (arteml@kth.se) Determinants February 6th, 2017 1 / 16 Overview 1 What is a Determinant? 2 Rules and Theorems 3 Area of a Parallelogram

More information

Definition 8.1 Two inequalities are equivalent if they have the same solution set. Add or Subtract the same value on both sides of the inequality.

Definition 8.1 Two inequalities are equivalent if they have the same solution set. Add or Subtract the same value on both sides of the inequality. 8 Inequalities Concepts: Equivalent Inequalities Linear and Nonlinear Inequalities Absolute Value Inequalities (Sections.6 and.) 8. Equivalent Inequalities Definition 8. Two inequalities are equivalent

More information

VECTORS IN COMPONENT FORM

VECTORS IN COMPONENT FORM VECTORS IN COMPONENT FORM In Cartesian coordinates any D vector a can be written as a = a x i + a y j + a z k a x a y a x a y a z a z where i, j and k are unit vectors in x, y and z directions. i = j =

More information

MATH 255 Applied Honors Calculus III Winter Midterm 1 Review Solutions

MATH 255 Applied Honors Calculus III Winter Midterm 1 Review Solutions MATH 55 Applied Honors Calculus III Winter 11 Midterm 1 Review Solutions 11.1: #19 Particle starts at point ( 1,, traces out a semicircle in the counterclockwise direction, ending at the point (1,. 11.1:

More information

Module 3, Section 4 Analytic Geometry II

Module 3, Section 4 Analytic Geometry II Principles of Mathematics 11 Section, Introduction 01 Introduction, Section Analtic Geometr II As the lesson titles show, this section etends what ou have learned about Analtic Geometr to several related

More information

UNDERSTAND MOTION IN ONE AND TWO DIMENSIONS

UNDERSTAND MOTION IN ONE AND TWO DIMENSIONS SUBAREA I. COMPETENCY 1.0 UNDERSTAND MOTION IN ONE AND TWO DIMENSIONS MECHANICS Skill 1.1 Calculating displacement, aerage elocity, instantaneous elocity, and acceleration in a gien frame of reference

More information

be ye transformed by the renewing of your mind Romans 12:2

be ye transformed by the renewing of your mind Romans 12:2 Lecture 12: Coordinate Free Formulas for Affine and rojectie Transformations be ye transformed by the reing of your mind Romans 12:2 1. Transformations for 3-Dimensional Computer Graphics Computer Graphics

More information

Graphics Example: Type Setting

Graphics Example: Type Setting D Transformations Graphics Eample: Tpe Setting Modern Computerized Tpesetting Each letter is defined in its own coordinate sstem And positioned on the page coordinate sstem It is ver simple, m she thought,

More information

University of Alabama Department of Physics and Astronomy. PH 125 / LeClair Spring A Short Math Guide. Cartesian (x, y) Polar (r, θ)

University of Alabama Department of Physics and Astronomy. PH 125 / LeClair Spring A Short Math Guide. Cartesian (x, y) Polar (r, θ) University of Alabama Department of Physics and Astronomy PH 125 / LeClair Spring 2009 A Short Math Guide 1 Definition of coordinates Relationship between 2D cartesian (, y) and polar (r, θ) coordinates.

More information

2.3 Rectangular Components in Three-Dimensional Force Systems

2.3 Rectangular Components in Three-Dimensional Force Systems 2.3 Rectangular Components in Three-Dimensional Force Sstems 2.3 Rectangular Components in Three-Dimensional Force Sstems Eample 1, page 1 of 2 1. Epress the force F in terms of,, and components. F = 200

More information

27 ft 3 adequately describes the volume of a cube with side 3. ft F adequately describes the temperature of a person.

27 ft 3 adequately describes the volume of a cube with side 3. ft F adequately describes the temperature of a person. VECTORS The stud of ectors is closel related to the stud of such phsical properties as force, motion, elocit, and other related topics. Vectors allow us to model certain characteristics of these phenomena

More information

Elementary maths for GMT

Elementary maths for GMT Elementary maths for GMT Linear Algebra Part 2: Matrices, Elimination and Determinant m n matrices The system of m linear equations in n variables x 1, x 2,, x n a 11 x 1 + a 12 x 2 + + a 1n x n = b 1

More information

Three-Dimensional Space; Vectors

Three-Dimensional Space; Vectors Chapter 3 Three-Dimensional Space; Vectors 3.1 Rectangular Coordinates in 3-Space; Spheres Rectangular Coordinate Sstems To begin, consider three mutuall perpendicular coordinate lines, called the -ais,

More information

Exercise 1a: Determine the dot product of each of the following pairs of vectors.

Exercise 1a: Determine the dot product of each of the following pairs of vectors. Bob Bron, CCBC Dundalk Math 53 Calculus 3, Chapter Section 3 Dot Product (Geometric Definition) Def.: The dot product of to vectors v and n in is given by here θ, satisfying 0, is the angle beteen v and.

More information

SOME PROBLEMS YOU SHOULD BE ABLE TO DO

SOME PROBLEMS YOU SHOULD BE ABLE TO DO OME PROBLEM YOU HOULD BE ABLE TO DO I ve attempted to make a list of the main calculations you should be ready for on the exam, and included a handful of the more important formulas. There are no examples

More information

Chapter 3 Summary 3.1. Determining the Perimeter and Area of Rectangles and Squares on the Coordinate Plane. Example

Chapter 3 Summary 3.1. Determining the Perimeter and Area of Rectangles and Squares on the Coordinate Plane. Example Chapter Summar Ke Terms bases of a trapezoid (.) legs of a trapezoid (.) composite figure (.5).1 Determining the Perimeter and Area of Rectangles and Squares on the Coordinate Plane The perimeter or area

More information

Mathematics 309 Conic sections and their applicationsn. Chapter 2. Quadric figures. ai,j x i x j + b i x i + c =0. 1. Coordinate changes

Mathematics 309 Conic sections and their applicationsn. Chapter 2. Quadric figures. ai,j x i x j + b i x i + c =0. 1. Coordinate changes Mathematics 309 Conic sections and their applicationsn Chapter 2. Quadric figures In this chapter want to outline quickl how to decide what figure associated in 2D and 3D to quadratic equations look like.

More information

Computer Graphics MTAT Raimond Tunnel

Computer Graphics MTAT Raimond Tunnel Computer Graphics MTAT.03.015 Raimond Tunnel Points and Vectors In computer graphics we distinguish: Point a location in space (location vector, kohavektor) Vector a direction in space (direction vector,

More information

different formulas, depending on whether or not the vector is in two dimensions or three dimensions.

different formulas, depending on whether or not the vector is in two dimensions or three dimensions. ectors The word ector comes from the Latin word ectus which means carried. It is best to think of a ector as the displacement from an initial point P to a terminal point Q. Such a ector is expressed as

More information

MATHEMATICAL FUNDAMENTALS I. Michele Fitzpatrick

MATHEMATICAL FUNDAMENTALS I. Michele Fitzpatrick MTHEMTICL FUNDMENTLS I Michele Fitpatrick OVERVIEW Vectors and arras Matrices Linear algebra Del( operator Tensors DEFINITIONS vector is a single row or column of numbers. n arra is a collection of vectors

More information

Solution. The relationship between cartesian coordinates (x, y) and polar coordinates (r, θ) is given by. (x, y) = (r cos θ, r sin θ).

Solution. The relationship between cartesian coordinates (x, y) and polar coordinates (r, θ) is given by. (x, y) = (r cos θ, r sin θ). Problem 1. Let p 1 be the point having polar coordinates r = 1 and θ = π. Let p 2 be the point having polar coordinates r = 1 and θ = π/2. Find the Euclidean distance between p 1 and p 2. The relationship

More information

9.1 VECTORS. A Geometric View of Vectors LEARNING OBJECTIVES. = a, b

9.1 VECTORS. A Geometric View of Vectors LEARNING OBJECTIVES. = a, b vectors and POLAR COORDINATES LEARNING OBJECTIVES In this section, ou will: View vectors geometricall. Find magnitude and direction. Perform vector addition and scalar multiplication. Find the component

More information

Rigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99

Rigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99 ESC 489 3D ransforms 1 igid Bod ransforms-3d J.C. Dill transforms3d 27Jan99 hese notes on (2D and) 3D rigid bod transform are currentl in hand-done notes which are being converted to this file from that

More information

ES.1803 Topic 16 Notes Jeremy Orloff

ES.1803 Topic 16 Notes Jeremy Orloff ES803 Topic 6 Notes Jerem Orloff 6 Eigenalues, diagonalization, decoupling This note coers topics that will take us seeral classes to get through We will look almost eclusiel at 2 2 matrices These hae

More information

Review 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

Review 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 information

MATH 12 CLASS 4 NOTES, SEP

MATH 12 CLASS 4 NOTES, SEP MATH 12 CLASS 4 NOTES, SEP 28 2011 Contents 1. Lines in R 3 1 2. Intersections of lines in R 3 2 3. The equation of a plane 4 4. Various problems with planes 5 4.1. Intersection of planes with planes or

More information

Detailed objectives are given in each of the sections listed below. 1. Cartesian Space Coordinates. 2. Displacements, Forces, Velocities and Vectors

Detailed objectives are given in each of the sections listed below. 1. Cartesian Space Coordinates. 2. Displacements, Forces, Velocities and Vectors Unit 1 Vectors In this unit, we introduce vectors, vector operations, and equations of lines and planes. Note: Unit 1 is based on Chapter 12 of the textbook, Salas and Hille s Calculus: Several Variables,

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. Will we call this the ABC form. Recall that the slope-intercept

More information

QUADRATIC EQUATIONS. + 6 = 0 This is a quadratic equation written in standard form. x x = 0 (standard form with c=0). 2 = 9

QUADRATIC EQUATIONS. + 6 = 0 This is a quadratic equation written in standard form. x x = 0 (standard form with c=0). 2 = 9 QUADRATIC EQUATIONS A quadratic equation is always written in the form of: a + b + c = where a The form a + b + c = is called the standard form of a quadratic equation. Eamples: 5 + 6 = This is a quadratic

More information

MATRIX REPRESENTATIONS OF THE COORDINATES OF THE ATOMS OF THE MOLECULES OF H 2 O AND NH 3 IN OPERATIONS OF SYMMETRY

MATRIX REPRESENTATIONS OF THE COORDINATES OF THE ATOMS OF THE MOLECULES OF H 2 O AND NH 3 IN OPERATIONS OF SYMMETRY Trakia Journal of Sciences No 4 pp 9-96 7 opyright 7 Trakia Uniersity Aailable online at: http://www.uni-s.bg ISSN -769 (print) ISSN -55 (online) doi:.5547/tjs.7.4. Original ontribution MATRIX REPRESENTATIONS

More information

University of Regina Department of Mathematics and Statistics

University of Regina Department of Mathematics and Statistics u z v 1. Consider the map Universit of Regina Department of Mathematics and Statistics MATH431/831 Differential Geometr Winter 2014 Homework Assignment No. 3 - Solutions ϕ(u, v) = (cosusinv, sin u sin

More information

Blue and purple vectors have same magnitude and direction so they are equal. Blue and green vectors have same direction but different magnitude.

Blue and purple vectors have same magnitude and direction so they are equal. Blue and green vectors have same direction but different magnitude. A ector is a quantity that has both magnitude and direction. It is represented by an arrow. The length of the ector represents the magnitude and the arrow indicates the direction of the ector. Blue and

More information

A vector in the plane is directed line segment. The directed line segment AB

A vector in the plane is directed line segment. The directed line segment AB Vector: A ector is a matrix that has only one row then we call the matrix a row ector or only one column then we call it a column ector. A row ector is of the form: a a a... A column ector is of the form:

More information

Mechanics: Scalars and Vectors

Mechanics: Scalars and Vectors Mechanics: Scalars and Vectors Scalar Onl magnitude is associated with it Vector e.g., time, volume, densit, speed, energ, mass etc. Possess direction as well as magnitude Parallelogram law of addition

More information

The Cross Product of Two Vectors

The Cross Product of Two Vectors The Cross roduct of Two Vectors In proving some statements involving surface integrals, there will be a need to approximate areas of segments of the surface by areas of parallelograms. Therefore it is

More information

Vector Algebra August 2013

Vector Algebra August 2013 Vector Algebra 12.1 12.2 28 August 2013 What is a Vector? A vector (denoted or v) is a mathematical object possessing both: direction and magnitude also called length (denoted ). Vectors are often represented

More information

Three-Dimensional Coordinate Systems. Three-Dimensional Coordinate Systems. Three-Dimensional Coordinate Systems. Three-Dimensional Coordinate Systems

Three-Dimensional Coordinate Systems. Three-Dimensional Coordinate Systems. Three-Dimensional Coordinate Systems. Three-Dimensional Coordinate Systems To locate a point in a plane, two numbers are necessary. We know that any point in the plane can be represented as an ordered pair (a, b) of real numbers, where a is the x-coordinate and b is the y-coordinate.

More information

Algebra Concepts Equation Solving Flow Chart Page 1 of 6. How Do I Solve This Equation?

Algebra Concepts Equation Solving Flow Chart Page 1 of 6. How Do I Solve This Equation? Algebra Concepts Equation Solving Flow Chart Page of 6 How Do I Solve This Equation? First, simplify both sides of the equation as much as possible by: combining like terms, removing parentheses using

More information

Linear Algebra Math 221

Linear Algebra Math 221 Linea Algeba Math Open Book Eam Open Notes Sept Calculatos Pemitted Sho all ok (ecept #). ( pts) Gien the sstem of equations a) ( pts) Epess this sstem as an augmented mati. b) ( pts) Bing this mati to

More information

Culminating Review for Vectors

Culminating Review for Vectors Culminating Review for Vectors 0011 0010 1010 1101 0001 0100 1011 An Introduction to Vectors Applications of Vectors Equations of Lines and Planes 4 12 Relationships between Points, Lines and Planes An

More information

Vectors and the Geometry of Space

Vectors and the Geometry of Space Chapter 12 Vectors and the Geometr of Space Comments. What does multivariable mean in the name Multivariable Calculus? It means we stud functions that involve more than one variable in either the input

More information

IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET

IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET IMPORTANT DEFINITIONS AND THEOREMS REFERENCE SHEET This is a (not quite comprehensive) list of definitions and theorems given in Math 1553. Pay particular attention to the ones in red. Study Tip For each

More information

Roberto s Notes on Linear Algebra Chapter 1: Geometric vectors Section 8. The dot product

Roberto s Notes on Linear Algebra Chapter 1: Geometric vectors Section 8. The dot product Roberto s Notes on Linear Algebra Chapter 1: Geometric ectors Section 8 The dot product What you need to know already: What a linear combination of ectors is. What you can learn here: How to use two ectors

More information

A Geometric Review of Linear Algebra

A Geometric Review of Linear Algebra A Geometric Reiew of Linear Algebra The following is a compact reiew of the primary concepts of linear algebra. The order of presentation is unconentional, with emphasis on geometric intuition rather than

More information

Vertex. March 23, Ch 9 Guided Notes.notebook

Vertex. March 23, Ch 9 Guided Notes.notebook March, 07 9 Quadratic Graphs and Their Properties A quadratic function is a function that can be written in the form: Verte Its graph looks like... which we call a parabola. The simplest quadratic function

More information

The Finite Element Method for the Analysis of Linear Systems

The Finite Element Method for the Analysis of Linear Systems Swiss Federal Institute of Technolog Page The Finite Element Method for the Analsis of Linear Sstems Prof. Dr. Michael Havbro Faber Swiss Federal Institute of Technolog ETH Zurich, Switzerland Swiss Federal

More information