Mathematics 13: Lecture 4

Similar documents
Mathematics 22: Lecture 5

Mathematics 22: Lecture 7

Pivotal Quantities. Mathematics 47: Lecture 16. Dan Sloughter. Furman University. March 30, 2006

Mathematics 22: Lecture 12

Mathematics 22: Lecture 4

Some Trigonometric Limits

Mathematics 13: Lecture 10

Calculus: Area. Mathematics 15: Lecture 22. Dan Sloughter. Furman University. November 12, 2006

Mathematics 22: Lecture 19

Antiderivatives. Mathematics 11: Lecture 30. Dan Sloughter. Furman University. November 7, 2007

Sampling Distributions

Mathematics 22: Lecture 10

Change of Variables: Indefinite Integrals

Mathematics 22: Lecture 11

Nonparametric Tests. Mathematics 47: Lecture 25. Dan Sloughter. Furman University. April 20, 2006

Example. Mathematics 255: Lecture 17. Example. Example (cont d) Consider the equation. d 2 y dt 2 + dy

The Geometry. Mathematics 15: Lecture 20. Dan Sloughter. Furman University. November 6, 2006

The Chain Rule. Mathematics 11: Lecture 18. Dan Sloughter. Furman University. October 10, 2007

if b is a linear combination of u, v, w, i.e., if we can find scalars r, s, t so that ru + sv + tw = 0.

R n : The Cross Product

Goodness of Fit Tests: Homogeneity

Vectors. Section 3: Using the vector product

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?

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

Created by T. Madas VECTOR PRACTICE Part B Created by T. Madas

MTH 2310, FALL Introduction

MATH 19520/51 Class 2

Lecture 3: Linear Algebra Review, Part II

Review of Coordinate Systems

VECTORS IN A STRAIGHT LINE

Section 6.1. Inner Product, Length, and Orthogonality

Name: ID: Math 233 Exam 1. Page 1

(iii) converting between scalar product and parametric forms. (ii) vector perpendicular to two given (3D) vectors

Worksheet for Lecture 25 Section 6.4 Gram-Schmidt Process

Linear Algebra: Homework 3

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

Chapter 6. Orthogonality and Least Squares

Math 261 Lecture Notes: Sections 6.1, 6.2, 6.3 and 6.4 Orthogonal Sets and Projections

FINDING THE INTERSECTION OF TWO LINES

Mathematics 2203, Test 1 - Solutions

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

Math 3191 Applied Linear Algebra

MAT 1339-S14 Class 8

Section 6.2, 6.3 Orthogonal Sets, Orthogonal Projections

Last week we presented the following expression for the angles between two vectors u and v in R n ( ) θ = cos 1 u v

Section 8.1 Vector and Parametric Equations of a Line in

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

APPM 2350 Section Exam points Wednesday September 26, 6:00pm 7:30pm, 2018

Section 5.8. Taylor Series

Chapter 2: Vector Geometry

Announcements Wednesday, November 15

Math 2331 Linear Algebra

Can a Machine Think?

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]

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

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

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 =,

Chapter 6: Orthogonality

Linear Algebra I Lecture 10

A Primer in Econometric Theory

12.1. Cartesian Space

Math 2331 Linear Algebra

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.

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

MAT 1339-S14 Class 10 & 11

12.5 Equations of Lines and Planes

MAT 1302B Mathematical Methods II

6.4 Vectors and Dot Products

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

Announcements Monday, November 20

15. LECTURE 15. I can calculate the dot product of two vectors and interpret its meaning. I can find the projection of one vector onto another one.

Math 3191 Applied Linear Algebra

2013/2014 SEMESTER 1 MID-TERM TEST. 1 October :30pm to 9:30pm PLEASE READ THE FOLLOWING INSTRUCTIONS CAREFULLY:

4.3 Equations in 3-space

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

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

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

11.4 Dot Product Contemporary Calculus 1

Announcements Wednesday, November 15

7. Dimension and Structure.

MTAEA Vectors in Euclidean Spaces

Vector Calculus. Lecture Notes

MATH 20F: LINEAR ALGEBRA LECTURE B00 (T. KEMP)

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

1.2 LECTURE 2. Scalar Product

Math 241, Exam 1 Information.

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

Worksheet for Lecture 23 (due December 4) Section 6.1 Inner product, length, and orthogonality

9 Mixed Exercise. vector equation is. 4 a

BSc (Hons) in Computer Games Development. vi Calculate the components a, b and c of a non-zero vector that is orthogonal to

Chapter. Triangles. Copyright Cengage Learning. All rights reserved.

Mathematical Economics: Lecture 6

Solutions to Math 51 First Exam October 13, 2015

Euclidean Spaces. Euclidean Spaces. Chapter 10 -S&B

Maths for Signals and Systems Linear Algebra in Engineering

Solutions to Math 51 First Exam April 21, 2011

The Calculus of Vec- tors

Matrix-Vector Products and the Matrix Equation Ax = b

The Electric Potential

web: HOMEWORK 1

Transcription:

Mathematics 13: Lecture Planes Dan Sloughter Furman University January 10, 2008 Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 1 / 10

Planes in R n Suppose v and w are nonzero vectors in R n which are not parallel. Given any third vector p 0 in R n, we call the set of all points P where s and t are scalars, a plane. p = p 0 + s v + t w, Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 2 / 10

Planes in R n Suppose v and w are nonzero vectors in R n which are not parallel. Given any third vector p 0 in R n, we call the set of all points P where s and t are scalars, a plane. p = p 0 + s v + t w, We call this equation a vector equation for P. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 2 / 10

Parametric equations If then x 1 p 1 x 2 p =., p p 2 0 =., v = v 2 w 2, and w =.., x n p n v n w n v 1 w 1 x 1 = p 1 + sv 1 + tw 1, x 2 = p 2 + sv 2 + tw 2,. =. x n = p n + sv n + tw n, which are the scalar, or parametric, equations for P. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 3 / 10

Example Let P be the plane in R 3 which contains the points 1 1 1 p 0 = 1, q = 2, and r = 1. 1 2 3 Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 / 10

Example Let P be the plane in R 3 which contains the points 1 1 1 p 0 = 1, q = 2, and r = 1. 1 2 3 Then 0 2 v = q p 0 = 3 and w = r p 0 = 1 2 2 are vectors which lie on P. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 / 10

Example (cont d) So the vector equation of P is 1 0 2 p = 1 + s 3 + t 2, 1 1 2 and the parametric equations are x = 1 2t, y = 1 + 3s + 2t, z = 1 + s + 2t. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 5 / 10

Normal form in R 3 Suppose P is a plane in R 3 with vector equation p = p 0 + s v + t w. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 6 / 10

Normal form in R 3 Suppose P is a plane in R 3 with vector equation p = p 0 + s v + t w. Analogous to the case with lines in R 2, if n is perpendicular to both v and w, then we may describe P as the set of all p in R 3 satisfying n ( p p 0 ) = 0. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 6 / 10

Normal form in R 3 Suppose P is a plane in R 3 with vector equation p = p 0 + s v + t w. Analogous to the case with lines in R 2, if n is perpendicular to both v and w, then we may describe P as the set of all p in R 3 satisfying n ( p p 0 ) = 0. This is the normal equation of P. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 6 / 10

Example Suppose P is a plane passing through 1 p 0 = 1 1 with normal vector n = 2. 6 Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 7 / 10

Example Suppose P is a plane passing through 1 p 0 = 1 1 with normal vector n = 2. 6 The normal form of the equation for P is x 1 2 y 1 = 0. 6 z 1 Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 7 / 10

Example Suppose P is a plane passing through 1 p 0 = 1 1 with normal vector n = 2. 6 The normal form of the equation for P is x 1 2 y 1 = 0. 6 z 1 Or, equivalently, x 2y + 6z = 12. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 7 / 10

Distance to a plane Let P be a plane in R 3 with normal equation n ( p p 0 ) = 0. Let D be the shortest distance from a point q to P. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 8 / 10

Distance to a plane Let P be a plane in R 3 with normal equation n ( p p 0 ) = 0. Let D be the shortest distance from a point q to P. Let v = q p 0. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 8 / 10

Distance to a plane Let P be a plane in R 3 with normal equation n ( p p 0 ) = 0. Let D be the shortest distance from a point q to P. Let v = q p 0. Note: the component of v in the direction of n is n v n = n q n p 0. n Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 8 / 10

Distance to a plane Let P be a plane in R 3 with normal equation n ( p p 0 ) = 0. Let D be the shortest distance from a point q to P. Let v = q p 0. Note: the component of v in the direction of n is n v n = n q n p 0. n Hence D = n q n p 0. n Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 8 / 10

Distance to a plane Let P be a plane in R 3 with normal equation n ( p p 0 ) = 0. Let D be the shortest distance from a point q to P. Let v = q p 0. Note: the component of v in the direction of n is n v n = n q n p 0. n Hence D = n q n p 0. n Note: the point on P closest to q is q proj n v. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 8 / 10

Distance to a plane Let P be a plane in R 3 with normal equation n ( p p 0 ) = 0. Let D be the shortest distance from a point q to P. Let v = q p 0. Note: the component of v in the direction of n is n v n = n q n p 0. n Hence D = n q n p 0. n Note: the point on P closest to q is q proj n v. Note: an analogous formula works for the distance from a point to a line in R 2. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 8 / 10

Example Suppose P is a plane with equation x + 2y + z = 8 and 3 q = 3. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 9 / 10

Example Suppose P is a plane with equation x + 2y + z = 8 and 3 q = 3. Note: is a normal vector for P. n = 2 Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 9 / 10

Example Suppose P is a plane with equation x + 2y + z = 8 and 3 q = 3. Note: is a normal vector for P. n = 2 Moreover, for any point p 0 on P, n p 0 = 8. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 9 / 10

Example Suppose P is a plane with equation x + 2y + z = 8 and 3 q = 3. Note: is a normal vector for P. n = 2 Moreover, for any point p 0 on P, n p 0 = 8. Hence the shortest distance D from q to P is D = n q 8 n = 3 8 6 = 13 3. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 9 / 10

Example (cont d) Note: If v = q p 0, where p 0 is some point on P, then proj n v = 26 2 = 13 2 1. 36 9 2 Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 10 / 10

Example (cont d) Note: If v = q p 0, where p 0 is some point on P, then proj n v = 26 2 = 13 2 1. 36 9 2 So the point on P closest to q is q proj n v = 1 9 1 9 10 9. Dan Sloughter (Furman University) Mathematics 13: Lecture January 10, 2008 10 / 10