4.3 Equations in 3-space

Size: px
Start display at page:

Download "4.3 Equations in 3-space"

Transcription

1 4.3 Equations in 3-space istance can be used to define functions from a 3-space R 3 to the line R. Let P be a fixed point in the 3-space R 3 (say, with coordinates P (2, 5, 7)). Consider a function f : R 3 R that assigns to any point Q R 3 the distance between P and Q: f(q) = P Q. This function can be written using the formula for the distance: if the point Q has coordinates (x, y, z), then f(q) = f(x, y, z) = (x 2) 2 + (y + 5) 2 + (z 7) 2 = P Q

2 4.3. EQUATIONS IN 3-SPACE 87 What are the level sets of this function? Since distance is never negative, the level sets are not empty only if we consider a positive level (say, 3). The 3-level set is the set of all points Q(x, y, z) R 3 such that the distance P Q is equal to 3. We know that geometrically this set is a sphere centered at the point P of radius 3. The algebraic description of this set is provided by the equation (x 2)2 + (y + 5) 2 + (z 7) 2 = 3 After we square both sides (x 2) 2 + (y + 5) 2 + (z 7) 2 = 3 2 we see a typical equation of a sphere in 3-space. As opposed to curves in a plane, typically no curve in 3-space can be a level set of a function from the 3-space to R. A typical level set of such a function is a surface in the 3-space. A good example is a sphere as we just described Linear equations in 3-space We will now look closely at a linear equation with three variables: Ax + By + Cz = where A, B, C, and are some numbers. This equation defines a set the set of all points P (x, y, z) in 3-space with the coordinates satisfying the equation. Of course, if we multiply both sides of this equation by a constant, all three numbers will get multiplied but the new equation will represent the same object. So, we cannot extract any useful geometric information about the object from one of the numbers A, B, C,. Consider any two points Q (q 1, q 2, q 3 ) and R (r 1, r 2, r 3 ) on the set defined by the equation Ax + By + Cz =. This means the following equalities are satisfied: Aq 1 + Bq 2 + Cq 3 = and Ar 1 + Br 2 + Cr 3 =. Subtract the second equality from the first: A (q 1 r 1 ) + B (q 2 r 2 ) + C (q 3 r 3 ) = 0 This equation has a nice interpretation in terms of vectors: it says that the ot Product of the vectors A, B, C and RQ q1 r 1, q 2 r 2, q 3 r 3 is zero. It means that the vectors A, B, C and RQ are perpendicular. We conclude that for any points Q and R in the set, the vector RQ is perpendicular to the (fixed!) vector A, B, C. What is the meaning of the number? The equation says that is equal to the dot product of the vectors A, B, C and x, y, z : A, B, C x, y, z = If we divide both sides by the magnitude of A, B, C, then the left hand side A, B, C x, y, z A, B, C

3 88 CHAPTER 4. EUCLIEAN 3-SPACE: NEW CONCEPTS has a perfect geometric meaning: it is the scalar component of the vector x, y, z along the vector A, B, C. So, the equation basically says that for all points (x, y, z) of the set the scalar component of the vector x, y, z along the direction A,B,C of A, B, C is equal to. So, the equation describes a plane in 3-space as the plane perpendicular to the vector A, B, C and intersecting the A, B, C - line through the origin at the point A,B,C units away from the origin in the direction of the vector A, B, C. Problem. Plane through 3 points Find an equation of the plane containing the points P (1, 1, 12), Q(2, 6, 9), and R( 8, 4, 7). Generalization. Find an equation of the plane containing the points P (p 1, p 2, p 3 ), Q(q 1, q 2, q 3 ), and R(r 1, r 2, r 3 ). Strategy. If we denote the vector P Q by v = v1, v 2, v 3 and the vector P R by w = w1, w 2, w 3, the parametric presentation is x = p 1 + v 1 t + w 1 s y = p 2 + v 2 t + w 2 s z = p 3 + v 3 t + w 3 s Computation. P Q = 1, 5, 3, P R = 9, 3, 5 x = 1 + t 9s Answer: y = 1 + 5t + 3s z = 12 3t 5s Problem. 4 points in plane etermine whether the points lie on a plane: P (1, 2, 0), Q( 1, 0, 5), R(0, 2, 1), S(1, 0, 1). Generalization. etermine whether the given 4 points lie on a plane. Strategy. 1. Find an equation of the plane through the points P, Q, and R. 2. Check if the point S belongs to that plane. Computation. 2. x = 1 2t s y = 2 2t z = 5t + 1s 1 = 1 2t s 0 = 2 2t 1 = 5t + 1s 1. P Q = 2, 2, 5, P R = 1, 0, 1 s = 2 t = 1 1 = 5t + 1s So, the points are not in one plane. False.

4 4.3. EQUATIONS IN 3-SPACE 89 Problem. Intersection of two planes x = 1 s Find the intersection of the planes y = 2t z = 1 t + 4s and x = 1 2t s y = 2 2t z = 5t + s Generalization. Find the intersection of two planes given in parametric presentations f 1, f 2 : R 2 R 3. Strategy. Restate the questions: Find all pairs (t 1, s 1 ) and (t 2, s 2 ) such that f 1 (t 1, s 1 ) = f 2 (t 2, s 2 ). 1. Solve the system f 1 (t 1, s 1 ) = f 2 (t 2, s 2 ). 2. If the system has no solution, then the planes do not intersect. If there is one independent variable remaining in the system, then the intersection is a line and that variable can play the role of parameter in a parametric presentation of the line. If there are two independent variables remaining in the system, then the planes coincide. Computation. 1. s 1 = 1 2 s 2 t 1 = s 2 t 2 = 3 4 s 2 1 s 1 = 1 2t 2 s 2 2t 1 = 2 2t 2 1 t 1 + 4s 1 = 5t 2 + s 2 s 1 = 2t 2 + s 2 t 1 = 1 t 2 1 (1 t 2 ) + 4(2t 2 + s 2 ) = 5t 2 + s 2 2. There is one independent variable (s 2 ) remaining in the system. So the intersection is a line with parametric presentation y = 2 2( 3 x = 1 2( 3 4 s 2) s 2 4 s 2) z = 5( 3 4 s 2) + s 2 x = s 2 y = s 2 z = 11 4 s 2 Problem. Vector orthogonal to a plane Find a nonzero vector orthogonal to the plane through the points P (2, 3, 0), Q ( 1, 0, 2), and R (0, 7, 0). Generalization. Find a nonzero vector orthogonal to the plane through the points P (p 1, p 2, p 3 ), Q (q 1, q 2, q 3 ), and R (r 1, r 2, r 3 ). Strategy. 1. A vector v is orthogonal to the plane if and only if it is orthogonal to two non-parallel vectors in that plane. Consider vectors P Q and P R in the plane. Then the vector v is orthogonal to the plane if and only if P Q v = 0 and P R v = 0

5 90 CHAPTER 4. EUCLIEAN 3-SPACE: NEW CONCEPTS 2. Since the system { P Q v = 0 P R v = 0 has two equations and three unknowns (x, y, and z), we expect to find infinitely many solutions. Any solution of the system provides a vector orthogonal to the plane. Computation P Q = 3, 3, 2, P R = 2, 10, 0. P Q v = 3x 3y + 2z = 0 { 3x 3y + 2z = 0 2x 10y = 0 { 3 ( 5y) 3y + 2z = 0 x = 5y If we choose y = 1, then x = 5 and z = 6. Answer: 5, 1, 6. P R v = 2x 10y = 0 { z = 6y x = 5y If we have to find a unit vector (i.e. a vector with magnitude 1) orthogonal to the plane, we can divide the vector we got 5, 1, 6 by its magnitude ( 5) ( 6) 2 = 62: 5 62, 1 62, 6 62 If we need the first coordinate of the vector to be positive, multiply the whole vector by 1: 5 1 6,, Problem. istance to a plane Find the distance from the point P (1, 2, 0) to the plane 2x + y + z = 3. Generalization. Find the distance from the point P (p 1, p 2, p 3 ) to the plane Ax+ By + Cz =. Strategy. 1. Take any point Q on the plane. Consider the vector QP. 2. We find the scalar component of the vector QP in the direction of the vector v = A, B, C : comp v QP = QP v v 3. The distance from the point P to the plane is the absolute value of the scalar component comp v QP Computation. 2. comp v QP = v 1. The point Q (0, 0, 3) belongs to the plane. QP = 1, 2, 3 QP v = = 1 6

6 4.3. EQUATIONS IN 3-SPACE The distance from the point P to the plane is 1 6 = 1 6. When a plane is given by an equation Ax+By+Cz =, we can immediately see a vector perpendicular to the plane: A, B, C. If another plane is given A x+b y +C z =, we can define the angle between these planes as the angle between two vectors perpendicular to the planes: A, B, C and A, B, C. Problem. Angle between planes Find the angle between the given planes x+2y 3z = 35 and 8y+5z = 68. Generalization. Find the angle between the given planes Ax + By + Cz = and ax + by + cz = d. Strategy. The angle between the planes is equal to the angle between normal vectors to the planes. We find the angle between normal vectors u = A, B, C and w = a, b, c using ot Product: cos θ = u w u w Computation. u = 1, 2, 3, w = 0, 8, 5 cos θ = u w u w = = θ = cos rad Problem. Parallel/perpendicular planes etermine whether the planes x + 2y 3z = 35 and x + 8y + 5z = 68 are parallel, perpendicular, or neither. Generalization. etermine whether the planes Ax + By + Cz = and ax + by + cz = d are parallel, perpendicular, or neither. Strategy. 1. The planes are parallel if and only if their normal vectors are parallel (if and only if the normal vectors are proportional). 2. The planes are perpendicular if and only if their normal vectors are perpendicular (if and only if the ot Product of normal vectors is equal to 0). Computation. 1. The vectors 1, 2, 3 and 1, 8, 5 are normal to the corresponding planes. These vectors are proportional if and only if 1, 2, 3 = λ 1, 8, 5 for some λ. 1 = λ 2 = 8λ 3 = 5λ

7 92 CHAPTER 4. EUCLIEAN 3-SPACE: NEW CONCEPTS This system has no solutions. So, the vectors are not proportional and the planes are not parallel. 2. 1, 2, 3 1, 8, 5 = = 0 Answer: the planes are perpendicular. Two planes given by equations Ax+By +Cz = and A x+b y +C z = are parallel if and only if the vectors A, B, C and A, B, C are parallel (which means the vectors are proportional: A, B, C = λ A, B, C for some constant λ). In this case the second equation can be rewritten in the form Ax + By + Cz = for some number. Thus all the points of the first plane have the scalar component A,B,C along the vector A, B, C while all the points of the second plane have the scalar component A,B,C along the same vector A, B, C. Now we can find the distance between the planes as A, B, C A, B, C Problem. istance between parallel planes Find the distance between the given parallel planes x + 2y 3z = 35 and x 2y + 3z = 21. Generalization. Find the distance between the given parallel planes Ax + By + Cz = and A x + B y + C z =. Strategy. Multiply (or divide) the second equation by a constant to have it in the form Ax + By + Cz =. We find the scalar components of each plane in the direction of the vector A, B, C normal to both planes. These components are A,B,C and A,B,C. The distance between the planes is A, B, C A, B, C Computation. The second plane has equation x + 2y 3z = 21. A, B, C = 35 = A, B, C = 21 = The distance between the planes is = 56 =

8 4.3. EQUATIONS IN 3-SPACE 93 Problem. istance to a plane Find the distance from the point P (1, 2, 0) to the plane 2x + y + z = 3. Generalization. Find the distance from the point P (p 1, p 2, p 3 ) to the plane Ax+ By + Cz =. Strategy. 1. Find the scalar component of the plane in the direction of the vector v = A, B, C normal to the plane. This scalar component is equal to A,B,C. 2. Find the scalar component of the vector OP = p1, p 2, p 3 in the direction of the vector A, B, C : comp v OP = OP v. v 3. The distance from the point P to the plane is A, B, C comp v OP Computation. 1. A,B,C = = 3 6 OP v 2. comp v OP = v = The distance from the point P to the plane is 3 4 =

12.5 Equations of Lines and Planes

12.5 Equations of Lines and Planes 12.5 Equations of Lines and Planes Equation of Lines Vector Equation of Lines Parametric Equation of Lines Symmetric Equation of Lines Relation Between Two Lines Equations of Planes Vector Equation of

More information

Kevin James. MTHSC 206 Section 12.5 Equations of Lines and Planes

Kevin James. MTHSC 206 Section 12.5 Equations of Lines and Planes MTHSC 206 Section 12.5 Equations of Lines and Planes Definition A line in R 3 can be described by a point and a direction vector. Given the point r 0 and the direction vector v. Any point r on the line

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

Matrices. A matrix is a method of writing a set of numbers using rows and columns. Cells in a matrix can be referenced in the form.

Matrices. A matrix is a method of writing a set of numbers using rows and columns. Cells in a matrix can be referenced in the form. Matrices A matrix is a method of writing a set of numbers using rows and columns. 1 2 3 4 3 2 1 5 7 2 5 4 2 0 5 10 12 8 4 9 25 30 1 1 Reading Information from a Matrix Cells in a matrix can be referenced

More information

Mathematics 2203, Test 1 - Solutions

Mathematics 2203, Test 1 - Solutions Mathematics 220, Test 1 - Solutions F, 2010 Philippe B. Laval Name 1. Determine if each statement below is True or False. If it is true, explain why (cite theorem, rule, property). If it is false, explain

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

11.1 Three-Dimensional Coordinate System

11.1 Three-Dimensional Coordinate System 11.1 Three-Dimensional Coordinate System In three dimensions, a point has three coordinates: (x,y,z). The normal orientation of the x, y, and z-axes is shown below. The three axes divide the region into

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

MAT 1339-S14 Class 10 & 11

MAT 1339-S14 Class 10 & 11 MAT 1339-S14 Class 10 & 11 August 7 & 11, 2014 Contents 8 Lines and Planes 1 8.1 Equations of Lines in Two-Space and Three-Space............ 1 8.2 Equations of Planes........................... 5 8.3 Properties

More information

8. Find r a! r b. a) r a = [3, 2, 7], r b = [ 1, 4, 5] b) r a = [ 5, 6, 7], r b = [2, 7, 4]

8. Find r a! r b. a) r a = [3, 2, 7], r b = [ 1, 4, 5] b) r a = [ 5, 6, 7], r b = [2, 7, 4] Chapter 8 Prerequisite Skills BLM 8-1.. Linear Relations 1. Make a table of values and graph each linear function a) y = 2x b) y = x + 5 c) 2x + 6y = 12 d) x + 7y = 21 2. Find the x- and y-intercepts of

More information

12.1. Cartesian Space

12.1. Cartesian Space 12.1. Cartesian Space In most of your previous math classes, we worked with functions on the xy-plane only meaning we were working only in 2D. Now we will be working in space, or rather 3D. Now we will

More information

CHAPTER 1 Systems of Linear Equations

CHAPTER 1 Systems of Linear Equations CHAPTER Systems of Linear Equations Section. Introduction to Systems of Linear Equations. Because the equation is in the form a x a y b, it is linear in the variables x and y. 0. Because the equation cannot

More information

SOLUTIONS TO EXERCISES FOR MATHEMATICS 133 Part 1. I. Topics from linear algebra

SOLUTIONS TO EXERCISES FOR MATHEMATICS 133 Part 1. I. Topics from linear algebra SOLUTIONS TO EXERCISES FOR MATHEMATICS 133 Part 1 Winter 2009 I. Topics from linear algebra I.0 : Background 1. Suppose that {x, y} is linearly dependent. Then there are scalars a, b which are not both

More information

MATH 1020 WORKSHEET 12.1 & 12.2 Vectors in the Plane

MATH 1020 WORKSHEET 12.1 & 12.2 Vectors in the Plane MATH 100 WORKSHEET 1.1 & 1. Vectors in the Plane Find the vector v where u =, 1 and w = 1, given the equation v = u w. Solution. v = u w =, 1 1, =, 1 +, 4 =, 1 4 = 0, 5 Find the magnitude of v = 4, 3 Solution.

More information

MTH MTH Lecture 6. Yevgeniy Kovchegov Oregon State University

MTH MTH Lecture 6. Yevgeniy Kovchegov Oregon State University MTH 306 0 MTH 306 - Lecture 6 Yevgeniy Kovchegov Oregon State University MTH 306 1 Topics Lines and planes. Systems of linear equations. Systematic elimination of unknowns. Coe cient matrix. Augmented

More information

Distances in R 3. Last time we figured out the (parametric) equation of a line and the (scalar) equation of a plane:

Distances in R 3. Last time we figured out the (parametric) equation of a line and the (scalar) equation of a plane: Distances in R 3 Last time we figured out the (parametric) equation of a line and the (scalar) equation of a plane: Definition: The equation of a line through point P(x 0, y 0, z 0 ) with directional vector

More information

Section 8.1 Vector and Parametric Equations of a Line in

Section 8.1 Vector and Parametric Equations of a Line in Section 8.1 Vector and Parametric Equations of a Line in R 2 In this section, we begin with a discussion about how to find the vector and parametric equations of a line in R 2. To find the vector and parametric

More information

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 ( ) ( ) ( )

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 ( ) ( ) ( ) Vectors and the Geometry of Space Vector Space The 3-D coordinate system (rectangular coordinates ) is the intersection of three perpendicular (orthogonal) lines called coordinate axis: x, y, and z. Their

More information

Linear Algebra: Homework 3

Linear Algebra: Homework 3 Linear Algebra: Homework 3 Alvin Lin August 206 - December 206 Section.2 Exercise 48 Find all values of the scalar k for which the two vectors are orthogonal. [ ] [ ] 2 k + u v 3 k u v 0 2(k + ) + 3(k

More information

A2 HW Imaginary Numbers

A2 HW Imaginary Numbers Name: A2 HW Imaginary Numbers Rewrite the following in terms of i and in simplest form: 1) 100 2) 289 3) 15 4) 4 81 5) 5 12 6) -8 72 Rewrite the following as a radical: 7) 12i 8) 20i Solve for x in simplest

More information

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

MAC Module 5 Vectors in 2-Space and 3-Space II MAC 2103 Module 5 Vectors in 2-Space and 3-Space II 1 Learning Objectives Upon completing this module, you should be able to: 1. Determine the cross product of a vector in R 3. 2. Determine a scalar triple

More information

Calculus III (MAC )

Calculus III (MAC ) Calculus III (MAC2-) Test (25/9/7) Name (PRINT): Please show your work. An answer with no work receives no credit. You may use the back of a page if you need more space for a problem. You may not use any

More information

VECTORS AND THE GEOMETRY OF SPACE

VECTORS AND THE GEOMETRY OF SPACE VECTORS AND THE GEOMETRY OF SPACE VECTORS AND THE GEOMETRY OF SPACE A line in the xy-plane is determined when a point on the line and the direction of the line (its slope or angle of inclination) are given.

More information

MATH 1210 Assignment 3 Solutions 17R-T2

MATH 1210 Assignment 3 Solutions 17R-T2 MATH 1210 Assignment 3 Solutions 17R-T2 This assignment is optional and does not need to be handed in. Attempt all questions, write out nicely written solutions (showing all your work), and the solutions

More information

OHSx XM521 Multivariable Differential Calculus: Homework Solutions 13.1

OHSx XM521 Multivariable Differential Calculus: Homework Solutions 13.1 OHSx XM521 Multivariable Differential Calculus: Homework Solutions 13.1 (37) If a bug walks on the sphere x 2 + y 2 + z 2 + 2x 2y 4z 3 = 0 how close and how far can it get from the origin? Solution: Complete

More information

Vectors. 1 Basic Definitions. Liming Pang

Vectors. 1 Basic Definitions. Liming Pang Vectors Liming Pang 1 Basic Definitions Definition 1. A vector in a line/plane/space is a quantity which has both magnitude and direction. The magnitude is a nonnegative real number and the direction is

More information

4.1 Distance and Length

4.1 Distance and Length Chapter Vector Geometry In this chapter we will look more closely at certain geometric aspects of vectors in R n. We will first develop an intuitive understanding of some basic concepts by looking at vectors

More information

DATE: MATH ANALYSIS 2 CHAPTER 12: VECTORS & DETERMINANTS

DATE: MATH ANALYSIS 2 CHAPTER 12: VECTORS & DETERMINANTS NAME: PERIOD: DATE: MATH ANALYSIS 2 MR. MELLINA CHAPTER 12: VECTORS & DETERMINANTS Sections: v 12.1 Geometric Representation of Vectors v 12.2 Algebraic Representation of Vectors v 12.3 Vector and Parametric

More information

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

1.1 Single Variable Calculus versus Multivariable Calculus Rectangular Coordinate Systems... 4 MATH2202 Notebook 1 Fall 2015/2016 prepared by Professor Jenny Baglivo Contents 1 MATH2202 Notebook 1 3 1.1 Single Variable Calculus versus Multivariable Calculus................... 3 1.2 Rectangular Coordinate

More information

Vector Geometry. Chapter 5

Vector Geometry. Chapter 5 Chapter 5 Vector Geometry In this chapter we will look more closely at certain geometric aspects of vectors in R n. We will first develop an intuitive understanding of some basic concepts by looking at

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

(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

How can we find the distance between a point and a plane in R 3? Between two lines in R 3? Between two planes? Between a plane and a line?

How can we find the distance between a point and a plane in R 3? Between two lines in R 3? Between two planes? Between a plane and a line? Overview Yesterday we introduced equations to describe lines and planes in R 3 : r = r 0 + tv The vector equation for a line describes arbitrary points r in terms of a specific point r 0 and the direction

More information

Unit 4 Systems of Equations Systems of Two Linear Equations in Two Variables

Unit 4 Systems of Equations Systems of Two Linear Equations in Two Variables Unit 4 Systems of Equations Systems of Two Linear Equations in Two Variables Solve Systems of Linear Equations by Graphing Solve Systems of Linear Equations by the Substitution Method Solve Systems of

More information

Math 220: Summer Midterm 1 Questions

Math 220: Summer Midterm 1 Questions Math 220: Summer 2015 Midterm 1 Questions MOST questions will either look a lot like a Homework questions This lists draws your attention to some important types of HW questions. SOME questions will have

More information

Vector equations of lines in the plane and 3-space (uses vector addition & scalar multiplication).

Vector equations of lines in the plane and 3-space (uses vector addition & scalar multiplication). Boise State Math 275 (Ultman) Worksheet 1.6: Lines and Planes From the Toolbox (what you need from previous classes) Plotting points, sketching vectors. Be able to find the component form a vector given

More information

Elementary maths for GMT

Elementary maths for GMT Elementary maths for GMT Linear Algebra Part 1: Vectors, Representations Algebra and Linear Algebra Algebra: numbers and operations on numbers 2 + 3 = 5 3 7 = 21 Linear Algebra: tuples, triples... of numbers

More information

SUPPLEMENT I. Example. Graph the vector 4, 3. Definition. Given two points A(x 1, y 1 ) and B(x 2, y 2 ), the vector represented by # AB is # AB =,

SUPPLEMENT I. Example. Graph the vector 4, 3. Definition. Given two points A(x 1, y 1 ) and B(x 2, y 2 ), the vector represented by # AB is # AB =, SUPPLEMENT I 1. Vectors Definition. A vector is a quantity that has both a magnitude and a direction. A twodimensional vector is an ordered pair a = a 1, a 2 of real numbers. The numbers a 1 and a 2 are

More information

12.1 Three Dimensional Coordinate Systems (Review) Equation of a sphere

12.1 Three Dimensional Coordinate Systems (Review) Equation of a sphere 12.2 Vectors 12.1 Three Dimensional Coordinate Systems (Reiew) Equation of a sphere x a 2 + y b 2 + (z c) 2 = r 2 Center (a,b,c) radius r 12.2 Vectors Quantities like displacement, elocity, and force inole

More information

Multivariable Calculus: Chapter 13: Topic Guide and Formulas (pgs ) * line segment notation above a variable indicates vector

Multivariable Calculus: Chapter 13: Topic Guide and Formulas (pgs ) * line segment notation above a variable indicates vector Multivariable Calculus: Chapter 13: Topic Guie an Formulas (pgs 800 851) * line segment notation above a variable inicates vector The 3D Coorinate System: Distance Formula: (x 2 x ) 2 1 + ( y ) ) 2 y 2

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

Vectors Coordinate frames 2D implicit curves 2D parametric curves. Graphics 2008/2009, period 1. Lecture 2: vectors, curves, and surfaces

Vectors Coordinate frames 2D implicit curves 2D parametric curves. Graphics 2008/2009, period 1. Lecture 2: vectors, curves, and surfaces Graphics 2008/2009, period 1 Lecture 2 Vectors, curves, and surfaces Computer graphics example: Pixar (source: http://www.pixar.com) Computer graphics example: Pixar (source: http://www.pixar.com) Computer

More information

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

Midterm 1 Review. Distance = (x 1 x 0 ) 2 + (y 1 y 0 ) 2. Midterm 1 Review Comments about the midterm The midterm will consist of five questions and will test on material from the first seven lectures the material given below. No calculus either single variable

More information

MAT1035 Analytic Geometry

MAT1035 Analytic Geometry MAT1035 Analytic Geometry Lecture Notes R.A. Sabri Kaan Gürbüzer Dokuz Eylül University 2016 2 Contents 1 Review of Trigonometry 5 2 Polar Coordinates 7 3 Vectors in R n 9 3.1 Located Vectors..............................................

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

Exam 1 Review SOLUTIONS

Exam 1 Review SOLUTIONS 1. True or False (and give a short reason): Exam 1 Review SOLUTIONS (a) If the parametric curve x = f(t), y = g(t) satisfies g (1) = 0, then it has a horizontal tangent line when t = 1. FALSE: To make

More information

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

Give a geometric description of the set of points in space whose coordinates satisfy the given pair of equations. 1. Give a geometric description of the set of points in space whose coordinates satisfy the given pair of equations. x + y = 5, z = 4 Choose the correct description. A. The circle with center (0,0, 4)

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

SMT Power Round Solutions : Poles and Polars

SMT Power Round Solutions : Poles and Polars SMT Power Round Solutions : Poles and Polars February 18, 011 1 Definition and Basic Properties 1 Note that the unit circles are not necessary in the solutions. They just make the graphs look nicer. (1).0

More information

MAT 1339-S14 Class 8

MAT 1339-S14 Class 8 MAT 1339-S14 Class 8 July 28, 2014 Contents 7.2 Review Dot Product........................... 2 7.3 Applications of the Dot Product..................... 4 7.4 Vectors in Three-Space.........................

More information

CALCULUS 3 February 6, st TEST

CALCULUS 3 February 6, st TEST MATH 400 (CALCULUS 3) Spring 008 1st TEST 1 CALCULUS 3 February, 008 1st TEST YOUR NAME: 001 A. Spina...(9am) 00 E. Wittenbn... (10am) 003 T. Dent...(11am) 004 J. Wiscons... (1pm) 005 A. Spina...(1pm)

More information

MATH Calculus III Fall 2009 Homework 1 - Solutions

MATH Calculus III Fall 2009 Homework 1 - Solutions MATH 2300 - Calculus III Fall 2009 Homework 1 - Solutions 1. Find the equations of the two spheres that are tangent with equal radii whose centers are ( 3, 1, 2) and (5, 3, 6). SOLUTION: In order for the

More information

There are a number of related results that also go under the name of "chain rules." For example, if y=f(u) u=g(v), and v=h(x), dy = dx

There are a number of related results that also go under the name of chain rules. For example, if y=f(u) u=g(v), and v=h(x), dy = dx CHAIN RULE DIFFERENTIATION If y is a function of u ie y f(u) and u is a function of x ie u g(x) then y is related to x through the intermediate function u ie y f(g(x) ) y is differentiable with respect

More information

Linear Algebra V = T = ( 4 3 ).

Linear Algebra V = T = ( 4 3 ). Linear Algebra Vectors A column vector is a list of numbers stored vertically The dimension of a column vector is the number of values in the vector W is a -dimensional column vector and V is a 5-dimensional

More information

Vectors and Plane Geometry

Vectors and Plane Geometry Vectors and Plane Geometry Karl Heinz Dovermann Professor of Mathematics University of Hawaii January 7, 0 Preface During the first week of the semester it is difficult to get started with the course

More information

Vectors, dot product, and cross product

Vectors, dot product, and cross product MTH 201 Multivariable calculus and differential equations Practice problems Vectors, dot product, and cross product 1. Find the component form and length of vector P Q with the following initial point

More information

Directional Derivative and the Gradient Operator

Directional Derivative and the Gradient Operator Chapter 4 Directional Derivative and the Gradient Operator The equation z = f(x, y) defines a surface in 3 dimensions. We can write this as z f(x, y) = 0, or g(x, y, z) = 0, where g(x, y, z) = z f(x, y).

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

SOLUTIONS FOR PROBLEMS 1-30

SOLUTIONS FOR PROBLEMS 1-30 . Answer: 5 Evaluate x x + 9 for x SOLUTIONS FOR PROBLEMS - 0 When substituting x in x be sure to do the exponent before the multiplication by to get (). + 9 5 + When multiplying ( ) so that ( 7) ( ).

More information

SYSTEM OF CIRCLES OBJECTIVES (a) Touch each other internally (b) Touch each other externally

SYSTEM OF CIRCLES OBJECTIVES (a) Touch each other internally (b) Touch each other externally SYSTEM OF CIRCLES OBJECTIVES. A circle passes through (0, 0) and (, 0) and touches the circle x + y = 9, then the centre of circle is (a) (c) 3,, (b) (d) 3,, ±. The equation of the circle having its centre

More information

Math 51 Tutorial { August 10

Math 51 Tutorial { August 10 SSEA Summer 7 Math 5 Tutorial { August. The span of a set of vectors {v, v,..., v } is given by span (v, v,..., v k ) {c v + c v + + c k v k c, c,..., c k R}. This set can be viewed algebraically as an

More information

VECTORS IN A STRAIGHT LINE

VECTORS IN A STRAIGHT LINE A. The Equation of a Straight Line VECTORS P3 VECTORS IN A STRAIGHT LINE A particular line is uniquely located in space if : I. It has a known direction, d, and passed through a known fixed point, or II.

More information

15B. Isometries and Functionals 1

15B. Isometries and Functionals 1 5B. Isometries and Functionals Isometries If the important functions between vector spaces V and W are those that preserve linearity (i.e., linear transformations), then the important functions between

More information

Linear Algebra 1 Exam 2 Solutions 7/14/3

Linear Algebra 1 Exam 2 Solutions 7/14/3 Linear Algebra 1 Exam Solutions 7/14/3 Question 1 The line L has the symmetric equation: x 1 = y + 3 The line M has the parametric equation: = z 4. [x, y, z] = [ 4, 10, 5] + s[10, 7, ]. The line N is perpendicular

More information

Chapter 13: Vectors and the Geometry of Space

Chapter 13: Vectors and the Geometry of Space Chapter 13: Vectors and the Geometry of Space 13.1 3-Dimensional Coordinate System 13.2 Vectors 13.3 The Dot Product 13.4 The Cross Product 13.5 Equations of Lines and Planes 13.6 Cylinders and Quadratic

More information

Chapter 13: Vectors and the Geometry of Space

Chapter 13: Vectors and the Geometry of Space Chapter 13: Vectors and the Geometry of Space 13.1 3-Dimensional Coordinate System 13.2 Vectors 13.3 The Dot Product 13.4 The Cross Product 13.5 Equations of Lines and Planes 13.6 Cylinders and Quadratic

More information

The Sphere OPTIONAL - I Vectors and three dimensional Geometry THE SPHERE

The Sphere OPTIONAL - I Vectors and three dimensional Geometry THE SPHERE 36 THE SPHERE You must have played or seen students playing football, basketball or table tennis. Football, basketball, table tennis ball are all examples of geometrical figures which we call "spheres"

More information

Pair of Linear Equations in Two Variables

Pair of Linear Equations in Two Variables Pair of Linear Equations in Two Variables Linear equation in two variables x and y is of the form ax + by + c= 0, where a, b, and c are real numbers, such that both a and b are not zero. Example: 6x +

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 214 (R1) Winter 2008 Intermediate Calculus I Solutions to Problem Set #8 Completion Date: Friday March 14, 2008 Department of Mathematical and Statistical Sciences University of Alberta Question 1.

More information

1. Vectors.

1. Vectors. 1. Vectors 1.1 Vectors and Matrices Linear algebra is concerned with two basic kinds of quantities: vectors and matrices. 1.1 Vectors and Matrices Scalars and Vectors - Scalar: a numerical value denoted

More information

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

MATH 12 CLASS 2 NOTES, SEP Contents. 2. Dot product: determining the angle between two vectors 2 MATH 12 CLASS 2 NOTES, SEP 23 2011 Contents 1. Dot product: definition, basic properties 1 2. Dot product: determining the angle between two vectors 2 Quick links to definitions/theorems Dot product definition

More information

1. b = b = b = b = 5

1. b = b = b = b = 5 Version 001 Minterm 1 tsishchanka (54615) 1 This print-out should have 17 questions. Multiple-choice questions may continue on the next column or page find all choices before answering. FinM4a24 001 10.0

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

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

CS 4204 Computer Graphics

CS 4204 Computer Graphics CS 4204 Computer Graphics Vector and Matrix Yong Cao Virginia Tech Vectors N-tuple: Vectors N-tuple tuple: Magnitude: Unit vectors Normalizing a vector Operations with vectors Addition Multiplication with

More information

8.4. Systems of Equations in Three Variables. Identifying Solutions 2/20/2018. Example. Identifying Solutions. Solving Systems in Three Variables

8.4. Systems of Equations in Three Variables. Identifying Solutions 2/20/2018. Example. Identifying Solutions. Solving Systems in Three Variables 8.4 Systems of Equations in Three Variables Copyright 2010 Pearson Education, Inc. Publishing as Pearson Addison- Wesley Identifying Solutions Solving Systems in Three Variables Dependency, Inconsistency,

More information

BASIC NOTIONS. x + y = 1 3, 3x 5y + z = A + 3B,C + 2D, DC are not defined. A + C =

BASIC NOTIONS. x + y = 1 3, 3x 5y + z = A + 3B,C + 2D, DC are not defined. A + C = CHAPTER I BASIC NOTIONS (a) 8666 and 8833 (b) a =6,a =4 will work in the first case, but there are no possible such weightings to produce the second case, since Student and Student 3 have to end up with

More information

Unit 2: Lines and Planes in 3 Space. Linear Combinations of Vectors

Unit 2: Lines and Planes in 3 Space. Linear Combinations of Vectors Lesson10.notebook November 28, 2012 Unit 2: Lines and Planes in 3 Space Linear Combinations of Vectors Today's goal: I can write vectors as linear combinations of each other using the appropriate method

More information

1.5 F15 O Brien. 1.5: Linear Equations and Inequalities

1.5 F15 O Brien. 1.5: Linear Equations and Inequalities 1.5: Linear Equations and Inequalities I. Basic Terminology A. An equation is a statement that two expressions are equal. B. To solve an equation means to find all of the values of the variable that make

More information

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

Quantities which have only magnitude are called scalars. Quantities which have magnitude and direction are called vectors. Vectors summary Quantities which have only magnitude are called scalars. Quantities which have magnitude and direction are called vectors. AB is the position vector of B relative to A and is the vector

More information

Course MA2C02, Hilary Term 2010 Section 4: Vectors and Quaternions

Course MA2C02, Hilary Term 2010 Section 4: Vectors and Quaternions Course MA2C02, Hilary Term 2010 Section 4: Vectors and Quaternions David R. Wilkins Copyright c David R. Wilkins 2000 2010 Contents 4 Vectors and Quaternions 47 4.1 Vectors...............................

More information

5. A triangle has sides represented by the vectors (1, 2) and (5, 6). Determine the vector representing the third side.

5. A triangle has sides represented by the vectors (1, 2) and (5, 6). Determine the vector representing the third side. Vectors EXAM review Problem 1 = 8 and = 1 a) Find the net force, assume that points North, and points East b) Find the equilibrant force 2 = 15, = 7, and the angle between and is 60 What is the magnitude

More information

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product.

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. MATH 311-504 Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product. Determinant is a scalar assigned to each square matrix. Notation. The determinant of a matrix A = (a ij

More information

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.

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. Math 234 What you should know on day one August 28, 2001 1 You should be able to use general principles like Length = ds, Area = da, Volume = dv For example the length of the semi circle x = cos t, y =

More information

review To find the coefficient of all the terms in 15ab + 60bc 17ca: Coefficient of ab = 15 Coefficient of bc = 60 Coefficient of ca = -17

review To find the coefficient of all the terms in 15ab + 60bc 17ca: Coefficient of ab = 15 Coefficient of bc = 60 Coefficient of ca = -17 1. Revision Recall basic terms of algebraic expressions like Variable, Constant, Term, Coefficient, Polynomial etc. The coefficients of the terms in 4x 2 5xy + 6y 2 are Coefficient of 4x 2 is 4 Coefficient

More information

LB 220 Homework 4 Solutions

LB 220 Homework 4 Solutions LB 220 Homework 4 Solutions Section 11.4, # 40: This problem was solved in class on Feb. 03. Section 11.4, # 42: This problem was also solved in class on Feb. 03. Section 11.4, # 43: Also solved in class

More information

Vectors and Matrices Lecture 2

Vectors and Matrices Lecture 2 Vectors and Matrices Lecture 2 Dr Mark Kambites School of Mathematics 13/03/2014 Dr Mark Kambites (School of Mathematics) COMP11120 13/03/2014 1 / 20 How do we recover the magnitude of a vector from its

More information

Systems of Linear Equations

Systems of Linear Equations Systems of Linear Equations Linear Algebra MATH 2076 Linear Algebra SLEs Chapter 1 Section 1 1 / 8 Linear Equations and their Solutions A linear equation in unknowns (the variables) x 1, x 2,..., x n has

More information

7. Dimension and Structure.

7. Dimension and Structure. 7. Dimension and Structure 7.1. Basis and Dimension Bases for Subspaces Example 2 The standard unit vectors e 1, e 2,, e n are linearly independent, for if we write (2) in component form, then we obtain

More information

which are not all zero. The proof in the case where some vector other than combination of the other vectors in S is similar.

which are not all zero. The proof in the case where some vector other than combination of the other vectors in S is similar. It follows that S is linearly dependent since the equation is satisfied by which are not all zero. The proof in the case where some vector other than combination of the other vectors in S is similar. is

More information

1 Vectors and 3-Dimensional Geometry

1 Vectors and 3-Dimensional Geometry Calculus III (part ): Vectors and 3-Dimensional Geometry (by Evan Dummit, 07, v..55) Contents Vectors and 3-Dimensional Geometry. Functions of Several Variables and 3-Space..................................

More information

Introduction to Vectors

Introduction to Vectors Introduction to Vectors K. Behrend January 31, 008 Abstract An introduction to vectors in R and R 3. Lines and planes in R 3. Linear dependence. 1 Contents Introduction 3 1 Vectors 4 1.1 Plane vectors...............................

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

Mathematics Revision Guides Vectors Page 1 of 19 Author: Mark Kudlowski M.K. HOME TUITION. Mathematics Revision Guides Level: GCSE Higher Tier VECTORS

Mathematics Revision Guides Vectors Page 1 of 19 Author: Mark Kudlowski M.K. HOME TUITION. Mathematics Revision Guides Level: GCSE Higher Tier VECTORS Mathematics Revision Guides Vectors Page of 9 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Higher Tier VECTORS Version:.4 Date: 05-0-05 Mathematics Revision Guides Vectors Page of 9 VECTORS

More information

NOTES FOR LINEAR ALGEBRA 133

NOTES FOR LINEAR ALGEBRA 133 NOTES FOR LINEAR ALGEBRA 33 William J Anderson McGill University These are not official notes for Math 33 identical to the notes projected in class They are intended for Anderson s section 4, and are 2

More information

The Geometry of R n. Supplemental Lecture Notes for Linear Algebra Courses at Georgia Tech

The Geometry of R n. Supplemental Lecture Notes for Linear Algebra Courses at Georgia Tech The Geometry of R n Supplemental Lecture Notes for Linear Algebra Courses at Georgia Tech Contents Vectors in R n. Vectors....................................... The Length and Direction of a Vector......................3

More information

Chapter 3. The Scalar Product. 3.1 The scalar product using coördinates

Chapter 3. The Scalar Product. 3.1 The scalar product using coördinates Chapter The Scalar Product The scalar product is a way of multiplying two vectors to produce a scalar (real number) Let u and v be nonzero vectors represented by AB and AC C v A θ u B We define the angle

More information

Solutions to old Exam 3 problems

Solutions to old Exam 3 problems Solutions to old Exam 3 problems Hi students! I am putting this version of my review for the Final exam review here on the web site, place and time to be announced. Enjoy!! Best, Bill Meeks PS. There are

More information

11.4 Dot Product Contemporary Calculus 1

11.4 Dot Product Contemporary Calculus 1 11.4 Dot Product Contemporary Calculus 1 11.4 DOT PRODUCT In the previous sections we looked at the meaning of vectors in two and three dimensions, but the only operations we used were addition and subtraction

More information

4.Let A be a matrix such that A. is a scalar matrix and Then equals :

4.Let A be a matrix such that A. is a scalar matrix and Then equals : 1.Consider the following two binary relations on the set A={a, b, c} : R1={(c, a), (b, b), (a, c), (c, c), (b, c), (a, a)} and R2={(a, b), (b, a), (c, c), (c, a), (a, a), (b, b), (a, c)}. Then : both R1

More information