Elementary Linear Algebra

Size: px
Start display at page:

Download "Elementary Linear Algebra"

Transcription

1 Elementry Liner Algebr Anton & Rorres, 9 th Edition Lectre Set Chpter : Vectors in -Spce nd -Spce

2 Chpter Content Introdction to Vectors (Geometric Norm of Vector; Vector Arithmetic Dot Prodct; Projections Cross Prodct Lines nd Plnes in -Spce 9//8 Elementry Liner Algebr

3 Definitions If nd re ny to ectors, then the sm is the ector determined s follos: Position the ector so tht its initil point coincides ith the terminl point of. The ector is represented by the rro from the initil point of to the terminl point of. - If nd re ny to ectors, then the difference of from is defined by (-. - 9//8 Elementry Liner Algebr

4 Definitions If is nonzero ector nd k is nonzero rel nmber (sclr, then the prodct k is defined to be the ector hose length is k times the length of nd hose direction is the sme s tht of if k > nd opposite to tht of if k <. k if k or. A ector of the form k is clled sclr mltiple. 9//8 Elementry Liner Algebr 4

5 Remrks Rectnglr coordinte systems in dimensionl spce fll into to ctegories, left-hnded nd righthnded. 9//8 Elementry Liner Algebr 5

6 Trnsltion of Axes trnslted the xes of n xy-coordinte system to obtin n x y - coordinte system hose O is t point (x, y (k,l. A point P in -spce no hs both (x, y coordintes nd (x, y coordintes. x x k, y y l, these formls re clled the trnsltion eqtions. 9//8 Elementry Liner Algebr 6

7 Theorem.. (Properties of Vector Arithmetic If, nd re ectors in - or -spce nd k nd l re sclrs, then the folloing reltionships hold. ( ( (- k(l (kl k( k k (k l k l 9//8 Elementry Liner Algebr 7

8 Norm of Vector The length of ector is often clled the norm of nd is denoted by. 9//8 Elementry Liner Algebr 8

9 Norm of Vector the norm of ector (,, in -spce is A ector of norm is clled nit ector. The distnce beteen to points is the norm of the ector. The length of the ector k k k. 9//8 Elementry Liner Algebr 9

10 Definitions If nd re ectors in -spce or -spce nd θ is the ngle beteen nd, then the dot prodct or Ecliden inner prodct is defined by cosθ if if nd or Ө 9//8 Elementry Liner Algebr

11 9//8 Elementry Liner Algebr Exmple If the ngle beteen the ectors (,, nd (,, is 45, then 4 4 cos θ,, (,, ( 4 4 cos θ

12 Theorems Theorem.. Let nd be ectors in - or -spce. ; tht is, ( ½ If the ectors nd re nonzero nd θ is the ngle beteen them, then θ is cte if nd only if > θ is obtse if nd only if < θ π/ if nd only if 9//8 Elementry Liner Algebr

13 Theorems cosθ if nd if or Theorem.. (Properties of the Dot Prodct If, nd re ectors in - or -spce, nd k is sclr, then ( k( (k (k > if, nd if 9//8 Elementry Liner Algebr

14 Orthogonl Vectors Definition Perpendiclr ectors re lso clled orthogonl ectors. To nonzero ectors re orthogonl if nd only if their dot prodct is zero. To indicte tht nd re orthogonl ectors e rite. 9//8 Elementry Liner Algebr 4

15 An Orthogonl Projection To "decompose" ector into sm of to terms, one prllel to specified nonzero ector nd the other perpendiclr to. 9//8 Elementry Liner Algebr 5

16 Theorem.. proj proj If nd re ectors in -spce or -spce nd if, then proj proj proj cosθ (ector component of long (ector component of orthogonl to Ө 9//8 Elementry Liner Algebr 6

17 Exmple Let (,, nd (4,,. Find the ector component of long nd the ector component of orthogonl to. Ths, nd the the Verify th t the 4 ector component ector component ector their dot prodct is proj proj ((4 ( ( (( 5 ( zero. of of 5 proj long orthogonl (,, ( 7, nd 5 7 (4,,, ( is 7 7 to re, 5 7, is ( 7 6 7, 7, 7 perpendic lr by shoing tht 9//8 Elementry Liner Algebr 7

18 line L : x by c. let to points Then (x - x, y (x - y, y (x, y on L n( (, b P n (x.y Q(x.y 9//8 Elementry Liner Algebr 8

19 Qiz Find forml for the distnce D beteen point P ( x, y nd the line x by c. Let Q ( x, y D be ny proj QP QP cos θ n point on the line QP QP QP n n Bt QP QP n ( x ( x x, y x y, b( y y, P n n b Q(x.y 9//8 Elementry Liner Algebr

20 Exmple P n Soltion: (cont. Q so tht ( x x b( y y D ( b Since the point Q( x, y lies on the line, its coordintes stisfy the eqtion of the line, so x by c or c x Sbstitting this expression in ( yields the forml x by c D ( b by 9//8 Elementry Liner Algebr

21 Cross Prodct Definition If (,, nd (,, re ectors in -spce, then the cross prodct is the ector defined by 9//8 Elementry Liner Algebr

22 9//8 Elementry Liner Algebr Cross Prodct Definition If (,, nd (,, re ectors in -spce, then the cross prodct is the ector (,, defined by Tht is, Remrk,, (,,

23 Are of Prllelogrm Theorem.4. (Are of Prllelogrm If nd re ectors in -spce, then is eql to the re of the prllelogrm determined by nd. Exmple Find the re of the tringle determined by the point (,,, (-,,, nd (,4,. 9//8 Elementry Liner Algebr

24 Theorems Theorem.4. (Reltionships Inoling Cross Prodct nd Dot Prodct If, nd re ectors in -spce, then ( ( ( (Lgrnge s identity ( ( ( ( ( ( x 9//8 Elementry Liner Algebr 4

25 Theorems Theorem.4. (Properties of Cross Prodct If, nd re ny ectors in -spce nd k is ny sclr, then - ( ( ( k( (k (k 9//8 Elementry Liner Algebr

26 9//8 Elementry Liner Algebr 6 Triple Prodct ( * * *

27 9//8 Elementry Liner Algebr 7 Triple Prodct Definition If, nd re ectors in -spce, then ( is clled the sclr triple prodct of, nd. ( x

28 9//8 Elementry Liner Algebr 8 Theorem.4.4 The bsolte le of the determinnt is eql to the olme of the prllelepiped in -spce determined by the ectors (,,, (,,, nd (,,, ( * ( ( ( * * * det

29 Theorem.4.5 If the ectors (,,, (,,, nd (,, he the sme initil point, then they lie in the sme plne if nd only if ( 9//8 Elementry Liner Algebr 9

30 Plnes in -Spce One cn specify plne in -spce by giing its inclintion nd specifying one of its points. 9//8 Elementry Liner Algebr

31 Plnes in -Spce A conenient method for plne is to specify nonzero ector, clled norml, tht is perpendiclr to the plne. n (, b, c n P P The point-norml form of the eqtion of plne: (x-x b(y-y c(z-z 9//8 Elementry Liner Algebr

32 Exmple 9//8 Elementry Liner Algebr

33 Theorem.5. If, b, c, nd d re constnts nd, b, nd c re not ll zero, then the grph of the eqtion x by cz d is plne hing the ector n (, b, c s norml. (x-x b(y-y c(z-z Remrk: The boe eqtion is liner eqtion in x, y, nd z; it is clled the generl form of the eqtion of plne. 9//8 Elementry Liner Algebr

34 Theorem.5. Theorem.5. (Distnce beteen Point nd Plne The distnce D beteen point P (x,y,z nd the plne x by cz d is D x by b cz c d P n Q 9//8 Elementry Liner Algebr 4

35 9//8 Elementry Liner Algebr 5 Theorem.5. Theorem.5. (Distnce beteen Point nd Plne The distnce D beteen point P (x,y,z nd the plne x by cz d is ( ( (,, ( c b d cz by x c b z z c y y b x x c b c b P Q D Q Q Q Q P n

36 Exmple (Distnce Beteen Pont nd Plne 9//8 Elementry Liner Algebr 6

37 The Soltion of System in -Spce 9//8 Elementry Liner Algebr 7

38 Exmple 9//8 Elementry Liner Algebr 8

39 Line in -Spce Sppose tht l is the line in -spce throgh the point P (x,y,z nd prllel to the nonzero ector (, b, c. 9//8 Elementry Liner Algebr 9

40 Line in -Spce Eery point P(x, y, z on l (x, y, z P t* (x,y,z t*(, b, c 9//8 Elementry Liner Algebr 4

41 Exmple A line prllel to gien ector 9//8 Elementry Liner Algebr 4

42 Exmple (Distnce Beteen Prllel Plnes 9//8 Elementry Liner Algebr 4

43 Exmple (Distnce Beteen Prllel Plnes 9//8 Elementry Liner Algebr 4

Lecture 7: 3.2 Norm, Dot Product, and Distance in R n

Lecture 7: 3.2 Norm, Dot Product, and Distance in R n Lectre 7: 3. Norm, Dot Prodct, nd Distnce in R n Wei-T Ch 010/10/08 Annoncement Office hors: Qiz Mondy, Tesdy, nd Fridy fternoon TA: R301B, 王星翰, 蔡雅如 Sec. 1.5~1.7 8:45.m., Oct. 13, 010 Definitions Let nd

More information

Things to Memorize: A Partial List. January 27, 2017

Things to Memorize: A Partial List. January 27, 2017 Things to Memorize: A Prtil List Jnury 27, 2017 Chpter 2 Vectors - Bsic Fcts A vector hs mgnitude (lso clled size/length/norm) nd direction. It does not hve fixed position, so the sme vector cn e moved

More information

Chapter 2. Vectors. 2.1 Vectors Scalars and Vectors

Chapter 2. Vectors. 2.1 Vectors Scalars and Vectors Chpter 2 Vectors 2.1 Vectors 2.1.1 Sclrs nd Vectors A vector is quntity hving both mgnitude nd direction. Emples of vector quntities re velocity, force nd position. One cn represent vector in n-dimensionl

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

VECTORS, TENSORS, AND MATRICES. 2 + Az. A vector A can be defined by its length A and the direction of a unit

VECTORS, TENSORS, AND MATRICES. 2 + Az. A vector A can be defined by its length A and the direction of a unit GG33 Lecture 7 5/17/6 1 VECTORS, TENSORS, ND MTRICES I Min Topics C Vector length nd direction Vector Products Tensor nottion vs. mtrix nottion II Vector Products Vector length: x 2 + y 2 + z 2 vector

More information

3. Vectors. Vectors: quantities which indicate both magnitude and direction. Examples: displacemement, velocity, acceleration

3. Vectors. Vectors: quantities which indicate both magnitude and direction. Examples: displacemement, velocity, acceleration Rutgers University Deprtment of Physics & Astronomy 01:750:271 Honors Physics I Lecture 3 Pge 1 of 57 3. Vectors Vectors: quntities which indicte both mgnitude nd direction. Exmples: displcemement, velocity,

More information

Elementary Linear Algebra

Elementary Linear Algebra Elementry Liner Algebr Anton & Rorres, 1 th Edition Lecture Set 5 Chpter 4: Prt II Generl Vector Spces 163 คณ ตศาสตร ว ศวกรรม 3 สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา 1/2555 163 คณตศาสตรวศวกรรม 3 สาขาวชาวศวกรรมคอมพวเตอร

More information

Lesson Notes: Week 40-Vectors

Lesson Notes: Week 40-Vectors Lesson Notes: Week 40-Vectors Vectors nd Sclrs vector is quntity tht hs size (mgnitude) nd direction. Exmples of vectors re displcement nd velocity. sclr is quntity tht hs size but no direction. Exmples

More information

On the diagram below the displacement is represented by the directed line segment OA.

On the diagram below the displacement is represented by the directed line segment OA. Vectors Sclrs nd Vectors A vector is quntity tht hs mgnitude nd direction. One exmple of vector is velocity. The velocity of n oject is determined y the mgnitude(speed) nd direction of trvel. Other exmples

More information

Analytically, vectors will be represented by lowercase bold-face Latin letters, e.g. a, r, q.

Analytically, vectors will be represented by lowercase bold-face Latin letters, e.g. a, r, q. 1.1 Vector Alger 1.1.1 Sclrs A physicl quntity which is completely descried y single rel numer is clled sclr. Physiclly, it is something which hs mgnitude, nd is completely descried y this mgnitude. Exmples

More information

3. Vectors. Home Page. Title Page. Page 2 of 37. Go Back. Full Screen. Close. Quit

3. Vectors. Home Page. Title Page. Page 2 of 37. Go Back. Full Screen. Close. Quit Rutgers University Deprtment of Physics & Astronomy 01:750:271 Honors Physics I Lecture 3 Pge 1 of 37 3. Vectors Gols: To define vector components nd dd vectors. To introduce nd mnipulte unit vectors.

More information

MATRICES AND VECTORS SPACE

MATRICES AND VECTORS SPACE MATRICES AND VECTORS SPACE MATRICES AND MATRIX OPERATIONS SYSTEM OF LINEAR EQUATIONS DETERMINANTS VECTORS IN -SPACE AND -SPACE GENERAL VECTOR SPACES INNER PRODUCT SPACES EIGENVALUES, EIGENVECTORS LINEAR

More information

MATH 423 Linear Algebra II Lecture 28: Inner product spaces.

MATH 423 Linear Algebra II Lecture 28: Inner product spaces. MATH 423 Liner Algebr II Lecture 28: Inner product spces. Norm The notion of norm generlizes the notion of length of vector in R 3. Definition. Let V be vector spce over F, where F = R or C. A function

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 2

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 2 CS434/54: Pttern Recognition Prof. Olg Veksler Lecture Outline Review of Liner Algebr vectors nd mtrices products nd norms vector spces nd liner trnsformtions eigenvlues nd eigenvectors Introduction to

More information

13.3 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS

13.3 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS 33 CLASSICAL STRAIGHTEDGE AND COMPASS CONSTRUCTIONS As simple ppliction of the results we hve obtined on lgebric extensions, nd in prticulr on the multiplictivity of extension degrees, we cn nswer (in

More information

THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES

THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES 1. TRANSLATION Figure shows rigid body trnslting in three-dimensionl spce. Any two points in the body, such s A nd B, will move long prllel stright lines if

More information

DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS

DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS 3 DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS This chpter summrizes few properties of Cli ord Algebr nd describe its usefulness in e ecting vector rottions. 3.1 De nition of Associtive

More information

Problem set 5: Solutions Math 207B, Winter r(x)u(x)v(x) dx.

Problem set 5: Solutions Math 207B, Winter r(x)u(x)v(x) dx. Problem set 5: Soltions Mth 7B, Winter 6. Sppose tht p : [, b] R is continosly differentible fnction sch tht p >, nd q, r : [, b] R re continos fnctions sch tht r >, q. Define weighted inner prodct on

More information

4 VECTORS. 4.0 Introduction. Objectives. Activity 1

4 VECTORS. 4.0 Introduction. Objectives. Activity 1 4 VECTRS Chpter 4 Vectors jectives fter studying this chpter you should understnd the difference etween vectors nd sclrs; e le to find the mgnitude nd direction of vector; e le to dd vectors, nd multiply

More information

adjacent side sec 5 hypotenuse Evaluate the six trigonometric functions of the angle.

adjacent side sec 5 hypotenuse Evaluate the six trigonometric functions of the angle. A Trigonometric Fnctions (pp 8 ) Rtios of the sides of right tringle re sed to define the si trigonometric fnctions These trigonometric fnctions, in trn, re sed to help find nknown side lengths nd ngle

More information

2. VECTORS AND MATRICES IN 3 DIMENSIONS

2. VECTORS AND MATRICES IN 3 DIMENSIONS 2 VECTORS AND MATRICES IN 3 DIMENSIONS 21 Extending the Theory of 2-dimensionl Vectors x A point in 3-dimensionl spce cn e represented y column vector of the form y z z-xis y-xis z x y x-xis Most of the

More information

along the vector 5 a) Find the plane s coordinate after 1 hour. b) Find the plane s coordinate after 2 hours. c) Find the plane s coordinate

along the vector 5 a) Find the plane s coordinate after 1 hour. b) Find the plane s coordinate after 2 hours. c) Find the plane s coordinate L8 VECTOR EQUATIONS OF LINES HL Mth - Sntowski Vector eqution of line 1 A plne strts journey t the point (4,1) moves ech hour long the vector. ) Find the plne s coordinte fter 1 hour. b) Find the plne

More information

(6.5) Length and area in polar coordinates

(6.5) Length and area in polar coordinates 86 Chpter 6 SLICING TECHNIQUES FURTHER APPLICATIONS Totl mss 6 x ρ(x)dx + x 6 x dx + 9 kg dx + 6 x dx oment bout origin 6 xρ(x)dx x x dx + x + x + ln x ( ) + ln 6 kg m x dx + 6 6 x x dx Centre of mss +

More information

Elementary Linear Algebra

Elementary Linear Algebra Elemetary Liear Algebra Ato & Rorres th Editio Lectre Set Chapter : Eclidea Vector Spaces Chapter Cotet Vectors i -Space -Space ad -Space Norm Distace i R ad Dot Prodct Orthogoality Geometry of Liear Systems

More information

Matrices and Determinants

Matrices and Determinants Nme Chpter 8 Mtrices nd Determinnts Section 8.1 Mtrices nd Systems of Equtions Objective: In this lesson you lerned how to use mtrices, Gussin elimintion, nd Guss-Jordn elimintion to solve systems of liner

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

LINEAR ALGEBRA APPLIED

LINEAR ALGEBRA APPLIED 5.5 Applictions of Inner Product Spces 5.5 Applictions of Inner Product Spces 7 Find the cross product of two vectors in R. Find the liner or qudrtic lest squres pproimtion of function. Find the nth-order

More information

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors Vectors Skill Achieved? Know tht sclr is quntity tht hs only size (no direction) Identify rel-life exmples of sclrs such s, temperture, mss, distnce, time, speed, energy nd electric chrge Know tht vector

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. Description

More information

Inner Product Space. u u, v u, v u, v.

Inner Product Space. u u, v u, v u, v. Inner Product Spce Definition Assume tht V is ector spce oer field of sclrs F in our usge this will e. Then we define inry opertor.. :V V F [once gin in our usge this will e ] so tht the following properties

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

Chapter 3. Vector Spaces

Chapter 3. Vector Spaces 3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce

More information

4.5.0 BANACH AND HILBERT SPACES

4.5.0 BANACH AND HILBERT SPACES . Normed Spce Norm is mp :V sch tht for ll,v V nd c. 0 0 if nd only if 0. c c 3. + v + v (tringle ineqlity) Exmple: in spce C[, ] of ll continos fnctions in [, ] norm cn e defined s f mx f ( x) C x [,].

More information

Lecture 9: 3.4 The Geometry of Linear Systems

Lecture 9: 3.4 The Geometry of Linear Systems Lectre 9: 3.4 The Geometry of Linear Systems Wei-Ta Ch 200/0/5 Dot Prodct Form of a Linear System Recall that a linear eqation has the form a x +a 2 x 2 + +a n x n = b (a,a 2,, a n not all zero) The corresponding

More information

Computer Graphics (CS 4731) Lecture 7: Linear Algebra for Graphics (Points, Scalars, Vectors)

Computer Graphics (CS 4731) Lecture 7: Linear Algebra for Graphics (Points, Scalars, Vectors) Computer Grphics (CS 4731) Lecture 7: Liner Alger for Grphics (Points, Sclrs, Vectors) Prof Emmnuel Agu Computer Science Dept. Worcester Poltechnic Institute (WPI) Annoncements Project 1 due net Tuesd,

More information

R. I. Badran Solid State Physics

R. I. Badran Solid State Physics I Bdrn Solid Stte Physics Crystl vibrtions nd the clssicl theory: The ssmption will be mde to consider tht the men eqilibrim position of ech ion is t Brvis lttice site The ions oscillte bot this men position

More information

Matrix Eigenvalues and Eigenvectors September 13, 2017

Matrix Eigenvalues and Eigenvectors September 13, 2017 Mtri Eigenvlues nd Eigenvectors September, 7 Mtri Eigenvlues nd Eigenvectors Lrry Cretto Mechnicl Engineering 5A Seminr in Engineering Anlysis September, 7 Outline Review lst lecture Definition of eigenvlues

More information

Best Approximation in the 2-norm

Best Approximation in the 2-norm Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion

More information

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1.

DEFINITION The inner product of two functions f 1 and f 2 on an interval [a, b] is the number. ( f 1, f 2 ) b DEFINITION 11.1. 398 CHAPTER 11 ORTHOGONAL FUNCTIONS AND FOURIER SERIES 11.1 ORTHOGONAL FUNCTIONS REVIEW MATERIAL The notions of generlized vectors nd vector spces cn e found in ny liner lger text. INTRODUCTION The concepts

More information

Student Handbook for MATH 3300

Student Handbook for MATH 3300 Student Hndbook for MATH 3300 0.8 0.6 0.4 0.2 0 0.2 0.4 0.6 0.8 0.5 0 0.5 0.5 0 0.5 If people do not believe tht mthemtics is simple, it is only becuse they do not relize how complicted life is. John Louis

More information

Numerical Linear Algebra Assignment 008

Numerical Linear Algebra Assignment 008 Numericl Liner Algebr Assignment 008 Nguyen Qun B Hong Students t Fculty of Mth nd Computer Science, Ho Chi Minh University of Science, Vietnm emil. nguyenqunbhong@gmil.com blog. http://hongnguyenqunb.wordpress.com

More information

Chapter 1 VECTOR ALGEBRA

Chapter 1 VECTOR ALGEBRA Chpter 1 VECTOR LGEBR INTRODUCTION: Electromgnetics (EM) m be regrded s the stud of the interctions between electric chrges t rest nd in motion. Electromgnetics is brnch of phsics or electricl engineering

More information

Math 20C Multivariable Calculus Lecture 5 1. Lines and planes. Equations of lines (Vector, parametric, and symmetric eqs.). Equations of lines

Math 20C Multivariable Calculus Lecture 5 1. Lines and planes. Equations of lines (Vector, parametric, and symmetric eqs.). Equations of lines Mt 2C Multivrible Clculus Lecture 5 1 Lines nd plnes Slide 1 Equtions of lines (Vector, prmetric, nd symmetric eqs.). Equtions of plnes. Distnce from point to plne. Equtions of lines Slide 2 Definition

More information

How do you know you have SLE?

How do you know you have SLE? Simultneous Liner Equtions Simultneous Liner Equtions nd Liner Algebr Simultneous liner equtions (SLE s) occur frequently in Sttics, Dynmics, Circuits nd other engineering clsses Need to be ble to, nd

More information

Vectors , (0,0). 5. A vector is commonly denoted by putting an arrow above its symbol, as in the picture above. Here are some 3-dimensional vectors:

Vectors , (0,0). 5. A vector is commonly denoted by putting an arrow above its symbol, as in the picture above. Here are some 3-dimensional vectors: Vectors 1-23-2018 I ll look t vectors from n lgeric point of view nd geometric point of view. Algericlly, vector is n ordered list of (usully) rel numers. Here re some 2-dimensionl vectors: (2, 3), ( )

More information

Conducting Ellipsoid and Circular Disk

Conducting Ellipsoid and Circular Disk 1 Problem Conducting Ellipsoid nd Circulr Disk Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 (September 1, 00) Show tht the surfce chrge density σ on conducting ellipsoid,

More information

We are looking for ways to compute the integral of a function f(x), f(x)dx.

We are looking for ways to compute the integral of a function f(x), f(x)dx. INTEGRATION TECHNIQUES Introdction We re looking for wys to compte the integrl of fnction f(x), f(x)dx. To pt it simply, wht we need to do is find fnction F (x) sch tht F (x) = f(x). Then if the integrl

More information

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

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGI OIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. escription

More information

Polynomials and Division Theory

Polynomials and Division Theory Higher Checklist (Unit ) Higher Checklist (Unit ) Polynomils nd Division Theory Skill Achieved? Know tht polynomil (expression) is of the form: n x + n x n + n x n + + n x + x + 0 where the i R re the

More information

US01CMTH02 UNIT Curvature

US01CMTH02 UNIT Curvature Stu mteril of BSc(Semester - I) US1CMTH (Rdius of Curvture nd Rectifiction) Prepred by Nilesh Y Ptel Hed,Mthemtics Deprtment,VPnd RPTPScience College US1CMTH UNIT- 1 Curvture Let f : I R be sufficiently

More information

Section 14.3 Arc Length and Curvature

Section 14.3 Arc Length and Curvature Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in

More information

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space.

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space. Clculus 3 Li Vs Spce Curves Recll the prmetric equtions of curve in xy-plne nd compre them with prmetric equtions of curve in spce. Prmetric curve in plne x = x(t) y = y(t) Prmetric curve in spce x = x(t)

More information

spring from 1 cm to 2 cm is given by

spring from 1 cm to 2 cm is given by Problem [8 pts] Tre or Flse. Give brief explntion or exmple to jstify yor nswer. ) [ pts] Given solid generted by revolving region bot the line x, if we re sing the shell method to compte its volme, then

More information

Inner-product spaces

Inner-product spaces Inner-product spces Definition: Let V be rel or complex liner spce over F (here R or C). An inner product is n opertion between two elements of V which results in sclr. It is denoted by u, v nd stisfies:

More information

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f

g i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f 1. Appliction of functionl nlysis to PEs 1.1. Introduction. In this section we give little introduction to prtil differentil equtions. In prticulr we consider the problem u(x) = f(x) x, u(x) = x (1) where

More information

Best Approximation. Chapter The General Case

Best Approximation. Chapter The General Case Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given

More information

SECTION 9-4 Translation of Axes

SECTION 9-4 Translation of Axes 9-4 Trnsltion of Aes 639 Rdiotelescope For the receiving ntenn shown in the figure, the common focus F is locted 120 feet bove the verte of the prbol, nd focus F (for the hperbol) is 20 feet bove the verte.

More information

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS

PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS PHYS 4390: GENERAL RELATIVITY LECTURE 6: TENSOR CALCULUS To strt on tensor clculus, we need to define differentition on mnifold.a good question to sk is if the prtil derivtive of tensor tensor on mnifold?

More information

Chapter 6 Applications of Trigonometry

Chapter 6 Applications of Trigonometry Chter 6 Alictions of Trigonometry Chter 6 Alictions of Trigonometry Section 6. Vectors in the Plne Exlortion. Use the HMT rle, which sttes tht if n rrow hs initil oint x, y nd terminl oint x, y, it reresents

More information

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we

More information

x 2 1 dx x 3 dx = ln(x) + 2e u du = 2e u + C = 2e x + C 2x dx = arcsin x + 1 x 1 x du = 2 u + C (t + 2) 50 dt x 2 4 dx

x 2 1 dx x 3 dx = ln(x) + 2e u du = 2e u + C = 2e x + C 2x dx = arcsin x + 1 x 1 x du = 2 u + C (t + 2) 50 dt x 2 4 dx . Compute the following indefinite integrls: ) sin(5 + )d b) c) d e d d) + d Solutions: ) After substituting u 5 +, we get: sin(5 + )d sin(u)du cos(u) + C cos(5 + ) + C b) We hve: d d ln() + + C c) Substitute

More information

Math 1102: Calculus I (Math/Sci majors) MWF 3pm, Fulton Hall 230 Homework 2 solutions

Math 1102: Calculus I (Math/Sci majors) MWF 3pm, Fulton Hall 230 Homework 2 solutions Mth 1102: Clculus I (Mth/Sci mjors) MWF 3pm, Fulton Hll 230 Homework 2 solutions Plese write netly, nd show ll work. Cution: An nswer with no work is wrong! Do the following problems from Chpter III: 6,

More information

Basics of space and vectors. Points and distance. Vectors

Basics of space and vectors. Points and distance. Vectors Bsics of spce nd vectors Points nd distnce One wy to describe our position in three dimensionl spce is using Crtesin coordintes x, y, z) where we hve fixed three orthogonl directions nd we move x units

More information

Geometrical Transformations

Geometrical Transformations Geometricl Trnsformtions Did Atkinson D.Atkinson@cl.c.k Compttionl Aspects of MRI References Fole, n Dm, Feiner, Hghes. Compter Grphics: Principles nd Prctice. Chpter 5. Wolfrm MthWorld http://mthworld.wolfrm.com/

More information

P 1 (x 1, y 1 ) is given by,.

P 1 (x 1, y 1 ) is given by,. MA00 Clculus nd Bsic Liner Alger I Chpter Coordinte Geometr nd Conic Sections Review In the rectngulr/crtesin coordintes sstem, we descrie the loction of points using coordintes. P (, ) P(, ) O The distnce

More information

Math 0230 Calculus 2 Lectures

Math 0230 Calculus 2 Lectures Mth Clculus Lectures Chpter 9 Prmetric Equtions nd Polr Coordintes Numertion of sections corresponds to the text Jmes Stewrt, Essentil Clculus, Erly Trnscendentls, Second edition Section 91 Prmetric Curves

More information

Analytical Methods for Materials

Analytical Methods for Materials Anlyticl Methods for Mterils Lesson 7 Crystl Geometry nd Crystllogrphy, Prt 1 Suggested Reding Chpters 2 nd 6 in Wsed et l. 169 Slt crystls N Cl http://helthfreedoms.org/2009/05/24/tble-slt-vs-unrefined-se-slt--primer/

More information

ODE: Existence and Uniqueness of a Solution

ODE: Existence and Uniqueness of a Solution Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =

More information

Abstract inner product spaces

Abstract inner product spaces WEEK 4 Abstrct inner product spces Definition An inner product spce is vector spce V over the rel field R equipped with rule for multiplying vectors, such tht the product of two vectors is sclr, nd the

More information

SAMPLE. Vectors. e.g., length: 30 cm is the length of the page of a particular book time: 10 s is the time for one athlete to run 100 m

SAMPLE. Vectors. e.g., length: 30 cm is the length of the page of a particular book time: 10 s is the time for one athlete to run 100 m jectives H P T E R 5 Vectors To nderstnd the concept of vector To ppl sic opertions to vectors To nderstnd the zero vector To se the nit vectors i nd j to represent vectors in two dimensions To se the

More information

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY

Chapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY Chpter 3 MTRIX In this chpter: Definition nd terms Specil Mtrices Mtrix Opertion: Trnspose, Equlity, Sum, Difference, Sclr Multipliction, Mtrix Multipliction, Determinnt, Inverse ppliction of Mtrix in

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1 MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further

More information

Partial Differential Equations

Partial Differential Equations Prtil Differentil Equtions Notes by Robert Piché, Tmpere University of Technology reen s Functions. reen s Function for One-Dimensionl Eqution The reen s function provides complete solution to boundry

More information

6.4 VECTORS AND DOT PRODUCTS

6.4 VECTORS AND DOT PRODUCTS 458 Chapter 6 Additional Topics in Trigonometry 6.4 VECTORS AND DOT PRODUCTS What yo shold learn ind the dot prodct of two ectors and se the properties of the dot prodct. ind the angle between two ectors

More information

S56 (5.3) Vectors.notebook January 29, 2016

S56 (5.3) Vectors.notebook January 29, 2016 Dily Prctice 15.1.16 Q1. The roots of the eqution (x 1)(x + k) = 4 re equl. Find the vlues of k. Q2. Find the rte of chnge of 剹 x when x = 1 / 8 Tody we will e lerning out vectors. Q3. Find the eqution

More information

(4.1) D r v(t) ω(t, v(t))

(4.1) D r v(t) ω(t, v(t)) 1.4. Differentil inequlities. Let D r denote the right hnd derivtive of function. If ω(t, u) is sclr function of the sclrs t, u in some open connected set Ω, we sy tht function v(t), t < b, is solution

More information

4. Calculus of Variations

4. Calculus of Variations 4. Clculus of Vritions Introduction - Typicl Problems The clculus of vritions generlises the theory of mxim nd minim. Exmple (): Shortest distnce between two points. On given surfce (e.g. plne), nd the

More information

Population Dynamics Definition Model A model is defined as a physical representation of any natural phenomena Example: 1. A miniature building model.

Population Dynamics Definition Model A model is defined as a physical representation of any natural phenomena Example: 1. A miniature building model. Popultion Dynmics Definition Model A model is defined s physicl representtion of ny nturl phenomen Exmple: 1. A miniture building model. 2. A children cycle prk depicting the trffic signls 3. Disply of

More information

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES Mthemtics SKE: STRN J STRN J: TRNSFORMTIONS, VETORS nd MTRIES J3 Vectors Text ontents Section J3.1 Vectors nd Sclrs * J3. Vectors nd Geometry Mthemtics SKE: STRN J J3 Vectors J3.1 Vectors nd Sclrs Vectors

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

20 MATHEMATICS POLYNOMIALS

20 MATHEMATICS POLYNOMIALS 0 MATHEMATICS POLYNOMIALS.1 Introduction In Clss IX, you hve studied polynomils in one vrible nd their degrees. Recll tht if p(x) is polynomil in x, the highest power of x in p(x) is clled the degree of

More information

Math Theory of Partial Differential Equations Lecture 2-9: Sturm-Liouville eigenvalue problems (continued).

Math Theory of Partial Differential Equations Lecture 2-9: Sturm-Liouville eigenvalue problems (continued). Mth 412-501 Theory of Prtil Differentil Equtions Lecture 2-9: Sturm-Liouville eigenvlue problems (continued). Regulr Sturm-Liouville eigenvlue problem: d ( p dφ ) + qφ + λσφ = 0 ( < x < b), dx dx β 1 φ()

More information

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation 1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview

More information

CHAPTER 2d. MATRICES

CHAPTER 2d. MATRICES CHPTER d. MTRICES University of Bhrin Deprtment of Civil nd rch. Engineering CEG -Numericl Methods in Civil Engineering Deprtment of Civil Engineering University of Bhrin Every squre mtrix hs ssocited

More information

CS 450: COMPUTER GRAPHICS VECTORS SPRING 2016 DR. MICHAEL J. REALE

CS 450: COMPUTER GRAPHICS VECTORS SPRING 2016 DR. MICHAEL J. REALE CS 45: COMPUTER GRPHICS VECTORS SPRING 216 DR. MICHEL J. RELE INTRODUCTION In graphics, we are going to represent objects and shapes in some form or other. First, thogh, we need to figre ot how to represent

More information

Eigen Values and Eigen Vectors of a given matrix

Eigen Values and Eigen Vectors of a given matrix Engineering Mthemtics 0 SUBJECT NAME SUBJECT CODE MATERIAL NAME MATERIAL CODE : Engineering Mthemtics I : 80/MA : Prolem Mteril : JM08AM00 (Scn the ove QR code for the direct downlod of this mteril) Nme

More information

9.4. The Vector Product. Introduction. Prerequisites. Learning Outcomes

9.4. The Vector Product. Introduction. Prerequisites. Learning Outcomes The Vector Product 9.4 Introduction In this section we descrie how to find the vector product of two vectors. Like the sclr product its definition my seem strnge when first met ut the definition is chosen

More information

Vectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2

Vectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2 MATH 307 Vectors in Rn Dr. Neal, WKU Matrices of dimension 1 n can be thoght of as coordinates, or ectors, in n- dimensional space R n. We can perform special calclations on these ectors. In particlar,

More information

Final Review, Math 1860 Thomas Calculus Early Transcendentals, 12 ed

Final Review, Math 1860 Thomas Calculus Early Transcendentals, 12 ed Finl Review, Mth 860 Thoms Clculus Erly Trnscendentls, 2 ed 6. Applictions of Integrtion: 5.6 (Review Section 5.6) Are between curves y = f(x) nd y = g(x), x b is f(x) g(x) dx nd similrly for x = f(y)

More information

September 13 Homework Solutions

September 13 Homework Solutions College of Engineering nd Computer Science Mechnicl Engineering Deprtment Mechnicl Engineering 5A Seminr in Engineering Anlysis Fll Ticket: 5966 Instructor: Lrry Cretto Septemer Homework Solutions. Are

More information

This final is a three hour open book, open notes exam. Do all four problems.

This final is a three hour open book, open notes exam. Do all four problems. Physics 55 Fll 27 Finl Exm Solutions This finl is three hour open book, open notes exm. Do ll four problems. [25 pts] 1. A point electric dipole with dipole moment p is locted in vcuum pointing wy from

More information

dx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω.

dx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω. Chpter 8 Stility theory We discuss properties of solutions of first order two dimensionl system, nd stility theory for specil clss of liner systems. We denote the independent vrile y t in plce of x, nd

More information

Chapter 5 Determinants

Chapter 5 Determinants hpter 5 Determinnts 5. Introduction Every squre mtri hs ssocited with it sclr clled its determinnt. Given mtri, we use det() or to designte its determinnt. We cn lso designte the determinnt of mtri by

More information

a a a a a a a a a a a a a a a a a a a a a a a a In this section, we introduce a general formula for computing determinants.

a a a a a a a a a a a a a a a a a a a a a a a a In this section, we introduce a general formula for computing determinants. Section 9 The Lplce Expnsion In the lst section, we defined the determinnt of (3 3) mtrix A 12 to be 22 12 21 22 2231 22 12 21. In this section, we introduce generl formul for computing determinnts. Rewriting

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

The distance between the initial and the terminal points is called the distance, magnitude, or norm.

The distance between the initial and the terminal points is called the distance, magnitude, or norm. Chpter 9 Vector Differentil Clculus, Grd, Div, Curl Kreyszig by YHLee;100510; 9-1 9.1 Vectors in 2 Spce nd 3 Spce Two kinds of quntities used in physics, engineering nd so on. A sclr : A quntity representing

More information

On the Pairs of Orthogonal Ruled Surfaces

On the Pairs of Orthogonal Ruled Surfaces EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5 No. 2 2012 205-210 ISSN 1307-5543 www.ejpm.com On the Pirs of Orthogonl Ruled Surfces Filiz KANBAY Deprtment of Mthemtics Fculty of Arts nd Science

More information

Lecture 4 Coordinate Systems: Transformations of Coordinates and Vectors. Sections: 1.8, 1.9 Homework: See homework file

Lecture 4 Coordinate Systems: Transformations of Coordinates and Vectors. Sections: 1.8, 1.9 Homework: See homework file Lecture 4 Coordinte Systems: Trnsformtions of Coordintes nd Vectors Sections: 1.8, 1.9 Homework: See homework file Trnsformtion of Coordintes Rectngulr Cylindricl x y = = = ρcos ρsin x = y = 2 2 ρ = x

More information