Brief Review of Exam Topics

Similar documents
Math 32A Discussion Session Week 2 Notes October 10 and 12, 2017

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

Math 241, Exam 1 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.

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

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

Exercise Solutions for Introduction to 3D Game Programming with DirectX 10

1 Vector Geometry in Two and Three Dimensions

12.1. Cartesian Space

1.1 Single Variable Calculus versus Multivariable Calculus Rectangular Coordinate Systems... 4

Review of Coordinate Systems

MAC Module 5 Vectors in 2-Space and 3-Space II

Section 13.4 The Cross Product

Course Notes Math 275 Boise State University. Shari Ultman

The Cross Product of Two Vectors

Calculus 1 for AE (WI1421LR) Lecture 1: 12.3 The dot product 12.4 The cross product

MAT 1339-S14 Class 8

Name: ID: Math 233 Exam 1. Page 1

Lecture 2: Vector-Vector Operations

Distance Formula in 3-D Given any two points P 1 (x 1, y 1, z 1 ) and P 2 (x 2, y 2, z 2 ) the distance between them is ( ) ( ) ( )

10.2,3,4. Vectors in 3D, Dot products and Cross Products

What you will learn today

The Cross Product. Philippe B. Laval. Spring 2012 KSU. Philippe B. Laval (KSU) The Cross Product Spring /

Dot Products. K. Behrend. April 3, Abstract A short review of some basic facts on the dot product. Projections. The spectral theorem.

Multiple Choice. 1.(6 pts) Find symmetric equations of the line L passing through the point (2, 5, 1) and perpendicular to the plane x + 3y z = 9.

Midterm 1 Review. Distance = (x 1 x 0 ) 2 + (y 1 y 0 ) 2.

n=0 ( 1)n /(n + 1) converges, but not

which has a check digit of 9. This is consistent with the first nine digits of the ISBN, since

MTH 2310, FALL Introduction

Vector Geometry. Chapter 5

Math 290, Midterm II-key

4.1 Distance and Length

MATH 12 CLASS 4 NOTES, SEP

F F. proj cos( ) v. v proj v

Math Vector Calculus II

Chapter 2: Vector Geometry

Vectors, dot product, and cross product

Main topics for the First Midterm Exam

(arrows denote positive direction)

Math 3c Solutions: Exam 1 Fall Graph by eliiminating the parameter; be sure to write the equation you get when you eliminate the parameter.

Extra Problems for Math 2050 Linear Algebra I

Math 416, Spring 2010 More on Algebraic and Geometric Properties January 21, 2010 MORE ON ALGEBRAIC AND GEOMETRIC PROPERTIES

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

Quantities which have only magnitude are called scalars. Quantities which have magnitude and direction are called vectors.

Analytic Geometry MAT 1035

Solution to Homework 1

45. The Parallelogram Law states that. product of a and b is the vector a b a 2 b 3 a 3 b 2, a 3 b 1 a 1 b 3, a 1 b 2 a 2 b 1. a c. a 1. b 1.

Math 107. Rumbos Fall Solutions to Review Problems for Exam 1

DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF MASSACHUSETTS. MATH 233 SOME SOLUTIONS TO EXAM 1 Fall 2018

Exam 1 Review SOLUTIONS

Math 2433 Notes Week The Dot Product. The angle between two vectors is found with this formula: cosθ = a b

Overview of vector calculus. Coordinate systems in space. Distance formula. (Sec. 12.1)

Math 302 Test 1 Review

Analytic Geometry MAT 1035

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

MATH 12 CLASS 2 NOTES, SEP Contents. 2. Dot product: determining the angle between two vectors 2

MATH 221: SOLUTIONS TO SELECTED HOMEWORK PROBLEMS

Vectors and the Geometry of Space

v = ( 2)

58. The Triangle Inequality for vectors is. dot product.] 59. The Parallelogram Law states that

web: HOMEWORK 1

MATH 19520/51 Class 2

Math 8 Winter 2010 Midterm 2 Review Problems Solutions - 1. xcos 6xdx = 4. = x2 4

1.2 LECTURE 2. Scalar Product

MIDTERM 4 PART 1 (CHAPTERS 5 AND 6: ANALYTIC & MISC. TRIGONOMETRY) MATH 141 FALL 2018 KUNIYUKI 150 POINTS TOTAL: 47 FOR PART 1, AND 103 FOR PART

Linear Algebra Homework and Study Guide

Practical Linear Algebra: A Geometry Toolbox

Introduction to Vectors

SUMMARY OF MATH 1600

Vector Supplement Part 1: Vectors

Quiz 2 Practice Problems

Definitions for Quizzes

MATH Calculus III Fall 2009 Homework 1 - Solutions

Math 520 Exam 2 Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Chapter 13: Vectors and the Geometry of Space

Chapter 13: Vectors and the Geometry of Space

Vectors Year 12 Term 1

MATH 255 Applied Honors Calculus III Winter Midterm 1 Review Solutions

SOLUTIONS TO SECOND PRACTICE EXAM Math 21a, Spring 2003

Linear Algebra I for Science (NYC)

Vectors and Plane Geometry

1. Vectors in the Plane

LB 220 Homework 2 (due Tuesday, 01/22/13)

Announcements September 19

Intro Vectors 2D implicit curves 2D parametric curves. Graphics 2011/2012, 4th quarter. Lecture 2: vectors, curves, and surfaces

Mathematics 2203, Test 1 - Solutions

NOTES ON VECTORS, PLANES, AND LINES

This pre-publication material is for review purposes only. Any typographical or technical errors will be corrected prior to publication.

1 Vectors. c Kun Wang. Math 151, Fall Vector Supplement

EGR2013 Tutorial 8. Linear Algebra. Powers of a Matrix and Matrix Polynomial

Solutions to Math 51 First Exam October 13, 2015

Inner products. Theorem (basic properties): Given vectors u, v, w in an inner product space V, and a scalar k, the following properties hold:

SOME PROBLEMS YOU SHOULD BE ABLE TO DO

Linear Algebra. Alvin Lin. August December 2017

Linear Algebra: Homework 3

Dot product. The dot product is an inner product on a coordinate vector space (Definition 1, Theorem

VECTORS AND THE GEOMETRY OF SPACE

Final Exam - Take Home Portion Math 211, Summer 2017

Math 234. What you should know on day one. August 28, You should be able to use general principles like. x = cos t, y = sin t, 0 t π.

Give a geometric description of the set of points in space whose coordinates satisfy the given pair of equations.

Transcription:

Math 32A Discussion Session Week 3 Notes October 17 and 19, 2017 We ll use this week s discussion session to prepare for the first midterm. We ll start with a quick rundown of the relevant topics, and then proceed to work examples and answer questions as requested. It s important to note that I m not writing the exam, so nothing presented here or in section should be taken as an indication of what you ll see on exam day. Brief Review of Exam Topics Vectors We first thought of vectors as a basepoint-terminal point pair, and denoted the vector from P to Q by P Q. We say that the vectors P 0 Q 0 and P 1 Q 1 are equivalent if they translate to one another. More simply, they have the same components. The algebraic operations of addition and scalar multiplication are defined on vectors. Graphically we have: In terms of components, these operations are all done component-wise. The magnitude of a vector is defined to be the distance from its basepoint to its terminal point. In components we have a, b, c = a 2 + b 2 + c 2. A linear combination of the vectors v and w is a vector av + bw, where a and b are scalars. If we restrict the scalars to the range 0 a, b 1, the set of linear combinations is called the parallelogram spanned by v and w. Parametrized Lines We describe the line that passes through the point (x 0, y 0, z 0 ) in the direction of v = a, b, c by r(t) = x 0, y 0, z 0 + t a, b, c, 1

called a vector parametrization of our line, and also by x(t) = x 0 + at, y(t) = y 0 + bt, z(t) = z 0 + ct, called a set of parametric equations for our line. There are various parametrizations and sets of parametric equations for the same line. Given a parametrization, we often call the point associated to it the initial point and its vector the velocity vector. The speed of the parametrization is the magnitude of the velocity vector. The Dot Product Whenever two vectors have a common number of components, their dot product is defined and is a scalar. Specifically, if u = u 1,..., u n and v = v 1,..., v n, then u v = u 1 v 1 + + u n v n. The dot product also has a very important geometric interpretation. If θ is the angle between u and v (we always assume that θ [0, π]), then Some important observations: u u = u u cos 0 = u 2 ; u v = 0 if and only if u v; u v = u v cos θ. u v > 0 if and only if θ is acute, and u v < 0 if and only if θ is obtuse. We can rewrite the above equation as a formula which allows us to compute θ: ( ) u v θ = arccos. u v We can also use the dot product to compute the projection of a vector u onto a line L that passes through the basepoint of u. If v is any nonzero vector on L, then the projection of u onto L is given by proj L u = u v v v v. We sometimes write proj L u as proj v u. The Cross Product The cross product is defined only for pairs of three-dimensional vectors. Also unlike the dot product, its output is another three-dimensional vector.the cross product of vectors v = v 1, v 2, v 3 and w = w 1, w 2, w 3 is the vector v w = v 1 v 2 v 3 w 1 w 2 w 3 = v 2 v 3 w 2 w 3 i v 1 v 3 w 1 w 3 j + v 1 v 2 w 1 w 2 k. 2

Like the dot product, we start with an algebraic definition, but we really prefer the geometric description. The cross product v w is the unique vector for which v w is orthogonal to both v and w; v w has length v w sin θ; {v, w, v w} forms a right-handed system. Some important observations: w v = v w; v w = 0 if and only if w = λv for some λ R or v = 0; the cross product distributes across sums. The cross product can be used to compute areas. If P is the parallelogram spanned by the vectors v and w, then Area(P) = v w. The cross product can be used alongside the dot product to compute volumes. If P is the parallelepiped spanned by the vectors u, v, and w, then Examples Vol(P) = u (v w). Example 1. ( 13.1, Exercise 69 of the textbook) Use vectors to prove that the diagonals AC and BD of a parallelogram bisect each other. (See figure.) (Solution) Let v = AB and let w = AD. Then C is at the terminal point of v + w, so 1(v + w) is the midpoint of AC. The vector DB is given by v w, so the midpoint of BD is w + 1 (v w), 2 obtained by starting at D and moving half the distance towards B. But w + 1 2 (v w) = 1 2 (v + w), so the midpoint of BD is the same as the midpoint of AC, meaning that the diagonals bisect each other. 2 Example 2. ( 13.2, Exercise 64) Find a vector parametrization for the line x 5 9 = y + 3 7 = z 10. 3

(Solution) We ll find two parametrizations: one that works, and one that s much nicer. The first approach is to just let x = t. This leads us to the equations y + 3 7 = t 5 9 y = 7 9 t 62 9. and z 10 = t 5 z = 1 9 9 t + 85 9, which gives us a perfectly acceptable parametrization of the line: r(t) = 0, 62 9, 85 9 + t 1, 7 9, 1 9 We can find a more pleasant solution, though. Instead of letting x = t, let s choose x so that the expression (x 5)/9 simplifies to t. Setting (x 5)/9 = t yields x = 9t + 5. We then have (y + 3)/7 = t and z 10 = t, giving us This leads to the much nicer parametrization y = 7t 3 z = t + 10. r(t) = 5, 3, 10 + t 9, 7, 1. Assuming the common value to be t is generally a good strategy for turning symmetric parametric equations into a nice parametrization for a line. Example 3. ( 13.3, Exercise 92) Use the Cauchy-Schwarz inequality v w v w to prove the triangle inequality: v + w v + w. (Solution) We can write the square of v + w as. v + w 2 = (v + w) (v + w) = (v + w) (v + w). According to the triangle inequality for numbers we have (v + w) (v + w) = v v + 2v w + ww v 2 + 2 v w + w 2. Applying the Cauchy-Schwarz inequality to the middle term on the right hand side, we see that v + w 2 = (v + w) (v + w) v 2 + 2 v w + w 2 = ( v + w ) 2. So v + w 2 ( v + w ) 2. Since both v + w and v + w are non-negative, we may take the square root on both sides of this inequality to conclude that v + w v + w. Example 4. The vectors l, 0, 0, 0, w, 0, and 0, 0, h span a rectangular prism with length l, width w, an height h. Use the triple scalar product to verify that this rectangular prism has volume lwh. 4

(Solution) Write the vectors as l = l, 0, 0, w = 0, w, 0, h = 0, 0, h. Then the volume of the prism spanned by these vectors is V = l (w h). We first compute w h: Then as we suspected. w h = 0 w 0 0 0 h = wh, 0, 0. V = l, 0, 0 wh, 0, 0 = lwh, Example 5. ( 13.4, Exercise 39) Compute the volume of the parallelepiped spanned by u = 1, 0, 0, v = 0, 2, 0, w = 1, 1, 2. (Solution) We have V = u (v w). Note that the order of our vectors in the triple scalar product doesn t affect the result, but it can affect how much work we do. Let s be super lazy. Since we see that the vectors u and v have two zeros each, let s make sure they show up in the cross product we have to compute. That is, we ll compute the volume using V = w (u v). We have so u v = 1 0 0 = 0, 0, 2, 0 2 0 V = 1, 1, 2 0, 0, 2 = 4. Example 6. ( 13.4, Exercise 45) Use cross products to find the area of the triangle in the xy-plane defined by (1, 2), (3, 4), and ( 2, 2). (Solution) Let s outline our approach: we ll fix one of the vertices of the triangle as a basepoint and consider the vectors v and w taking us to the other vertices. Treating these as vectors in three dimensions, we can use the cross product to compute the area of the parallelogram spanned by these vectors. The area of the triangle will be one half of this area. Treat (1, 2) as the basepoint, so that the vectors v = 2, 2 and w = 3, 0 span our triangle. Because the cross product is only defined in three dimensions, we ll actually write v = 2, 2, 0 and w = 3, 0, 0, since the z-component of these vectors is zero. Then Area(P) = v w, 5

so we compute v w = 2 2 0 = 0, 0, 6, 3 0 0 so v w = 6. We conclude that the triangle has area 3. Example 7. ( 13.4, Exercise 75) Show that if a, b are nonzero vectors such that a b, then there exists a vector X such that a X = b. (Solution) Let v = a b, and let w = a v. Then w is perpendicular to both a and v. But b is also perpendicular to both a (by assumption) and v (because v = a b). So w = λb for some scalar λ. Because v is perpendicular to a, the cross product w is nonzero, so λ 0. So we may let X = 1 λ v. Then a X = 1 λ a v = 1 λ w = b, just as we hoped. 6