Final Exam. Bad Tensor Analysis Problem 1. a. A i + B j. b. A ij B j C ji. c. A ijk B k + C ijk B j. Answer 1a. Answer 1b.

Size: px
Start display at page:

Download "Final Exam. Bad Tensor Analysis Problem 1. a. A i + B j. b. A ij B j C ji. c. A ijk B k + C ijk B j. Answer 1a. Answer 1b."

Transcription

1 Finl Exm Plese ttempt ll of the following problems before the ue te. All problems count the sme even though some re more complex thn others. B Tensor Anlysis Problem Inex nottion, with the Einstein Summtion Convention is extremely exible n cn express ny kin of tensor opertion. However it cn be too exible becuse it cn express opertions tht o not exist. Here re few exmples of "B Tensor Anlysis." Explin wht is wrong with ech exmple. Do more thn just stte wht rule is violte n inicte why the opertion cnnot rise from vli geometricl opertions.. A i + B j Answer The violte rule here is tht you hve i erent free inexes in i erent terms. Tht correspons to ing i erent components of vectors together the x-component of one to the y-component of nother so it cnnot hppen. b. A ij B j C ji Answer b Here the inex j is repete more thn twice. Legitimte tensor opertions lwys involve just two inexes, one up n one own. The two types of inexes trnsform in opposite wys so the result in then invrint when the bsis vectors chnge. The expression given here woul epen on which bsis is use. c. A ijk B k + C ijk B j Answer c The i culty here is ctully just the sme s in prt. The free inexes on the rst term re i; j with k summe over while the free inexes on the secon term re i; k with j summe over. Tht correspons to ing i erent tensor components together n cnnot hppen.

2 . A bc K c = B bc J n Answer Here we hve i erent free inexes n lso hve i erent rnk tensors set equl to one nother. Tht cnnot hppen.

3 Metric Tensor Follies The following problems refer to the following sitution: Strt with the spcetime line element s = e (r) t + B (r) t ' + e r + R (r) + sin ' with coorintes x 0 = t; x = r; x = ; x 3 = ': Notice tht this metric is speci e by three functions ; b; R; of the single vrible, r. The worl line of prticulr observer is given by t = e r = r 0 = ' = p where is the curve prmeter n r 0 n p re constnts. Problem :. Use the line element to clculte how much proper time elpses for this observer for ech unit of coorinte time t. Answer The elpse proper time is given by the integrl Z t= = s t=0 v Z t= u = t e t t ' B t=0 e r R + sin!! ' Since r n re not chnging n = simpli es to v Z t= u = t e t t=0 ll long the worl-line, the expression t ' B! ' R 3

4 Evlute the erivtives from the equtions of the worl-line. t = e ; ' = p n = Z t= t=0 p Be p R p = e t: Nothing is chnging s function of t becuse the worl-line ws t constnt r, so the integrl is trivil. Z t= = e t p Be p R p t=0 = e p Be p R p b. Disply the metric tensor components g tht re inicte by this line element. Answer b The line element is given by the oubly summe expression: s = g x x Write the ouble sum out to see wht we hve here: s = g 00 t + g 0 tr + g 0 t + g 03 t' +g 0 rt + g r + g r + g 3 r' +g 0 t + g r + g + g 3 ' +g 30 't + g 3 'r + g 3 ' + g 33 ' Notice tht the cross terms ll pper twice, so we get s = g 00 t + g r + g + g 33 ' +g 0 tr + g 0 t + g 03 t' + ::: Compre this to the line element tht we hve: s = e t + B t ' + e r + R + R sin ' 4

5 n get the non-zero metric components: g 00 = e ; g = e ; g = R ; g 33 = R sin g 03 = B c. Fin the four-velocity vector of this observer. Answer c Metho : First n tngent vector to the worl line by just using the chin rule: = t t + r r + + ' ' From the equtions for the worl-line, t = e ; r = 0; = 0; ' = p so tht tngent vector is = e t + p ' The four-velocity will be in the irection of this tngent vector, but it must be normlize so tht u u = Tke so tht u = N u u = N e t + p N e ' t + p ' = N e t t + pe t ' + p ' ' But t t = g x 0 ; x 0 = g 00 5

6 n so forth, so n thus (with = =) = N e g 00 + pe g 03 + p g 33 = N e e + pe B + p R sin = N + pe B + p R sin N = The four velocity vector is then Use n u = p pe B p R e p pe B p R t + p p pe B p R ' Metho : Just plug stright into the e nition u = = = e t + p ' = s = e t + B t ' + e r + R + sin ' = e t B t ' e r R + sin ' = e t B t ' From the equtions of motion for the prticle, so n t = e ; r e R ' = p; r = = 0 = e e Be p R sin p = Be p R sin p = p Be p R sin p which gives the nl result: u = p e Be p R sin p t + p ' + sin!! ' 6

7 Problem 3. Wht motions leve this metric unchnge? (Note: There is nothing to clculte here. Just look t the metric.) Answer 3 Since nothing epens on t, trnsltions in the t coorinte leve the metric unchnge. The sme thing works for the ' coorinte. With the t' term present, prticulr xis for polr coorintes is picke out, so we o not hve sphericl symmetry. b. Note the vector els whose integrl curves correspon to the motions escribe in prt. (Agin, nothing to clculte. Just write own the nswer.) Answer 3b The metric is invrint uner trnsltions long the integrl curves of the vector els t n ' c. Is this spcetime sttic or sttionry? Answer 3c It is sttionry becuse it is invrint uner time trnsltion. However the t' term prevents it from being invrint uner time reversl, so it is not sttic. 7

8 Problem 4. The coorinte (or holonomic) bsis vectors t ; r ; ; ' re not orthonorml. Fin set of bsis vectors e tht re orthonorml Answer 4 First notice tht the only pir of vectors tht fil to be orthogonl to ech other re t n ' so strt by ning liner combintions of those two vectors tht re orthogonl to ech other. Try v = t + n ' n require it to be orthogonl to '. This is n rbitrry choice, by the wy. We coul just s esily n combintion orthogonl to t. Tht woul give i erent, but eqully vli orthonorml frme. Tht gives the result or t + n ' v ' = 0 ' = 0 g 03 + ng 33 = 0 n = g 03 =g 33 = B= R sin The vectors v; r ; ; ' to n their norms to get them normlize. B v v = t R sin ' v = B t R sin ' re ll orthogonl to ech other now n we just nee t B R sin ' = t B t R sin t ' + B R 4 sin 4 ' ' = g 00 B R sin g B 03 + R 4 sin 4 g 33 = e B R sin + B R 4 sin 4 R sin = e B R sin + B R sin = e B R sin 8

9 r r = g = e = g = R ' ' = g 33 = R sin so our orthonorml frme vectors re e 0 = q e + B R sin t B R sin ' e = e r e = R e 3 = R sin ' b. The coorinte (or holonomic) bsis forms t; r; ; ' re not orthonorml. Fin set of bsis forms! tht re orthonorml. Answer 4b We hve trnformtion from the holonomic bsis to the orthonorml bsis tht hs the mtrix form [e] = M x so the ul bsis will be given by the inverse mtrix [!] = [x] M In etil, we hve 0 0 e 0 B e C e A = B e 3 q e + B R sin 0 0 B R sin 0 e R R sin so tht the row of orthonorml bsis forms is given by q e + B R sin 0 C B A t r ' C A 9

10 ! 0!!! 3 = 0 = t r ' B q e + B R sin 0 0 B R sin 0 e R R sin q e + B R sin C A 0 = t r ' B q B R sin + e R sin B 0 0 R sin 0 e R R sin C A = q t B R sin + e R sin ; re B ; R; R' sin + t R sin or! 0 = t r! = e r e + B R sin! = R! 3 = B t + R sin ' R sin 0

11 The Conforml Trick The spcetime line element s = t + 4 x + y + z where is function of the spce coorintes x; y; z is not solution of Einstein s equtions, but it oes incorporte vluble trick the conforml fctor. Why the fourth power? For one thing it vois ipping either the signture of the metric or the orienttion of n orthonorml bsis. The following problems explore this metric. Problem 5 For this spcetime,. Wht woul be the e ective Newtonin grvittionl potentil governing the motion of slow-moving objects? Answer 5 From the equivlence principl lone, the motion of slow objects is governe entirely by the metric component g 00. Here tht component is the sme s for Minkowski spcctime, so there is no grvittionl potentil t ll n no Newtonin ccelertion of slow moving objects. b. Wht spcetime motions woul leve this spcetime metric unchnge? Is this spcetime sttic or sttionry? Answer 5b Since the function is n rbitrry function of the spce coorintes, there re not sptil motions tht leve the metric unchnge. However nothing epens on t so trnsltion n in t will leve the metric unchnge. Tht invrince mens the spcetime is t lest sttionry. There re no cross-terms in the metric to spoil time reversl, to the metric is lso sttic.

12 Problem 6 Clculte the connection coe cients, the Riemnn tensor components, the Ricci tensor components, n the Einstein tensor components for this spcetime. (Hint: You cn sve lot of e ort by expressing things in terms of Kronecker elts like ij inste of writing out components.) Wht hppens when you try to write Einstein s equtions with perfect ui stress-energy tensor? Answer 6 The strightforwr proceure is to just plug into the formuls. Strt by giving the non-zero metric tensor components g 00 = ; g ij = 4 ij g 00 = ; g ij = 4 ij It is useful to let Ltin inexes rnge from to 3 n use the Kronecker elt for the t spce metric components. Next, give the erivtives g ;. All of the ones with ny of the inexes equl to zero vnish, leving just g mn; = 4 3 ; mn Now work out the connection coe cients from the formul = g ( g + g g ) All of the terms with ny zero inexes vnish, leving just the sptil connection coe cients b = gr ( g rb + b g r r g b ) = 4 r 4 3 ; rb ;b r 4 3 ;r b = r ; rb + ;b r ;r b = ; b + ;b ; b Tht wsn t so hr. Now work out the Riemnn tensor components from the stnr formul: R = + Components with zero inexes ny where will vnish, so we just hve the spce components R bmn = m bn n bm + rm r bn rn r bm

13 Work on the erivtive terms rst. m bn = ;n b + ;b n ; bn ;m = ;m ;n b + ;b n ; bn + ;nm b + ;bm n ;m bn n bm = ;m b + ;b m ; bm ;n = ;n ;m b + ;b m ; bm + ;nm b + ;bn m ;n bm n the i erence: m bn n bm = ;m ;n b + ;b n ; bn + ;n ;m b + ;b m ; bm + ;nm b + ;bm n ;m bn ;nm b + ;bn m ;n bm = ;m ;n b + ;m ;b n ;m ; bn + ;n ;m b + ;n ;b m ;n ; bm + ;nm b + ;bm n ;m bn ;nm b ;bn m + ;n bm = ;n ;m b + ;n ;b m ;n ; bm ;m ;n b ;m ;b n + ;m ; bn + ;nm b + ;bm n ;m bn ;nm b ;bn m + ;n bm = ;n ;b m ;n ; bm ;m ;b n + ;m ; bn + ;bm n ;m bn ;bn m + ;n bm Now pull out fctor so tht we cn compre n cncel terms more esily. ( m bn n bm ) = ;n ;b m ;n ; bm ;m ;b n + ;m ; bn + ;bm n ;m bn ;bn m + ;n bm Next, strt on the prouct terms in the curvture. r rm bn = ;m r + ;r m ; rm ;n rb + ;b rn ;r bn = 4 ;m r + ;r m ; rm ;n rb + ;b rn ;r bn Pull out fctor so we cn see terms to cncel more esily. 3

14 4 rm r bn = = ;m r + ;r m ; rm ;n rb + ;b rn ;r bn = ;m r ;n rb + ;m r ;b rn ;m r ;r bn + ;r m ;n rb + ;r m ;b rn ;r m ;r bn ; rm ;n rb ; rm ;b rn + ; rm ;r bn = ;m ;n b + ;m ;b n ;m ; bn + ;b ;n m + ;n ;b m ;r ;r m bn ; ;n mb ; ;b mn + ; ;m bn Now put in the other prouct term n see wht cncels. r rn bm ) = 4 ( rm r bn = ;m ;n b + ;m ;b n ;m ; bn + ;b ;n m + ;n ;b m ;r ;r m bn ; ;n mb ; ;b mn + ; ;m bn ;n ;m b ;n ;b m + ;n ; bm ;b ;m n ;m ;b n + ;r ;r n bm + ; ;m nb + ; ;b mn ; ;n bm = ;n ;b m ;r ;r m bn + ; ;m bn ;m ;b n + ;r ;r n bm ; ;n bm = ;n ;b m ;m ;b n + ; ;m bn ; ;n bm + ;r ;r ( n bm m bn ) Multiply this result by so we get the sme fctor outsie s for the erivtive terms. ( rm r r bn rn bm ) = ;n ;b m ;m ;b n + ; ;m bn ; ;n bm + ;r ;r ( n bm m bn ) n put the erivtive n prouct terms together to get R bmn = ;n ;b m ;n ; bm ;m ;b n + ;m ; bn + ;bm n ;m bn ;bn m + ;n bm + ;n ;b m ;m ;b n + ; ;m bn ; ;n bm + ;r ;r ( n bm m bn ) R bmn = 3 ;n ;b m 3 ;n ; bm 3 ;m ;b n + 3 ;m ; bn + ;bm n ;m bn ;bn m + ;n bm + ;r ;r ( n bm m bn ) 4

15 so tht our result for the non-zero Riemnn tensor components is: R bmn = 3 ;n ;b m ;n ; bm ;m ;b n + ;m ; bn + ;bm n ;m bn ;bn m + ;n bm + ;r ;r ( n bm m bn ) Now go for the Ricci tensor. Contrct on ; m R bn = R bn = 3 ;n ;b ;n ; b ; ;b n + ; ; bn + ;b n ; bn ;bn + ;n b + ;r ;r ( n b bn ) R bn = 3 3 ;n ;b ;n ;b ;n ;b + ;r ;r bn + ;bn ;rr bn 3 ;bn + ;bn + ;r ;r ( nb 3 bn ) R bn = 3 3 ;n ;b ;n ;b ;n ;b + ;r ;r bn + ;bn ;rr bn 3 ;bn + ;bn + ;r ;r ( nb 3 bn ) = 3 ;n ;b + ;r ;r bn + ;rr bn ;bn 4 ;r ;r nb = 3 ;n ;b + 3 ;r ;r bn ;rr bn ;bn 4 ;r ;r nb = 3 ;n ;b ;r ;r bn ;rr bn ;bn Behol the Ricci Tensor components: R bn = Contrct gin on n; b. R bn = 3 ;n ;b ;r ;r bn ;rr bn ;bn Remember tht we hve to use the ctul inverse metric tensor g bn = 4 bn to rise n inex to o this contrction. R = R bng bn = R = 4 4 ;rr R bn 4 bn R = 8 5 ;rr = 8 r 5 5

16 Now go for the Einstein Tensor G = R g R The timelike components of the tensor re then G 0 = g 0R or G 00 = R = 4r 5 G 0i = 0 The spcelike components re G bn = = = R bn g bnr R bn 4 R bn + 4 g bn R 4 bn 8 r 5 = R bn + r bn or G bn = 3 ;n ;b ;r ;r bn ;rr bn ;bn + rr bn = 3 ;n ;b ;bn + rr bn ;r ;r bn G bn = 3 ;n ;b ;bn + r r r bn To nish the Einstein equtions, note tht the contrvrint stress-energy tensor components for n isotropic ui re The covrint components re then or T 00 = ; T 0n = 0; T bn = p bn T = g g T T 00 = g 00 g 00 T 00 = T 00 = T 0n = 0 T bn = g br g ns T rs = 8 br ns rs = 8 p bn T bn = 0 p bn 6

17 The Einstein equtions re then G 00 = 4 r 5 = 8 or G bn = 3 ;n ;b ;bn r r r bn = r = 5 0 p bn 3 ;n ;b ;bn r r r bn = 0 p bn It is pretty cler tht there re no nontrivil solutions of the secon set of (six inepenent) equtions, but tht is no surprise since our originl guess for the metric tensor correspone to hving no Newtonin grvittionl el t ll. 7

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY MAT 0630 INTERNET RESOURCES, REVIEW OF CONCEPTS AND COMMON MISTAKES PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY Contents 1. ACT Compss Prctice Tests 1 2. Common Mistkes 2 3. Distributive

More information

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( ) Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +

More information

and thus, they are similar. If k = 3 then the Jordan form of both matrices is

and thus, they are similar. If k = 3 then the Jordan form of both matrices is Homework ssignment 11 Section 7. pp. 249-25 Exercise 1. Let N 1 nd N 2 be nilpotent mtrices over the field F. Prove tht N 1 nd N 2 re similr if nd only if they hve the sme miniml polynomil. Solution: If

More information

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100 hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by

More information

Experiment 6: Friction

Experiment 6: Friction Experiment 6: Friction In previous lbs we studied Newton s lws in n idel setting, tht is, one where friction nd ir resistnce were ignored. However, from our everydy experience with motion, we know tht

More information

4.11 Inner Product Spaces

4.11 Inner Product Spaces 314 CHAPTER 4 Vector Spces 9. A mtrix of the form 0 0 b c 0 d 0 0 e 0 f g 0 h 0 cnnot be invertible. 10. A mtrix of the form bc d e f ghi such tht e bd = 0 cnnot be invertible. 4.11 Inner Product Spces

More information

CURVES ANDRÉ NEVES. that is, the curve α has finite length. v = p q p q. a i.e., the curve of smallest length connecting p to q is a straight line.

CURVES ANDRÉ NEVES. that is, the curve α has finite length. v = p q p q. a i.e., the curve of smallest length connecting p to q is a straight line. CURVES ANDRÉ NEVES 1. Problems (1) (Ex 1 of 1.3 of Do Crmo) Show tht the tngent line to the curve α(t) (3t, 3t 2, 2t 3 ) mkes constnt ngle with the line z x, y. (2) (Ex 6 of 1.3 of Do Crmo) Let α(t) (e

More information

Reasoning to Solve Equations and Inequalities

Reasoning to Solve Equations and Inequalities Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing

More information

Integration by Substitution

Integration by Substitution Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is

More information

Math 135 Circles and Completing the Square Examples

Math 135 Circles and Completing the Square Examples Mth 135 Circles nd Completing the Squre Exmples A perfect squre is number such tht = b 2 for some rel number b. Some exmples of perfect squres re 4 = 2 2, 16 = 4 2, 169 = 13 2. We wish to hve method for

More information

EQUATIONS OF LINES AND PLANES

EQUATIONS OF LINES AND PLANES EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint

More information

Physics 43 Homework Set 9 Chapter 40 Key

Physics 43 Homework Set 9 Chapter 40 Key Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x

More information

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions. Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd

More information

Physics 6010, Fall 2010 Symmetries and Conservation Laws: Energy, Momentum and Angular Momentum Relevant Sections in Text: 2.6, 2.

Physics 6010, Fall 2010 Symmetries and Conservation Laws: Energy, Momentum and Angular Momentum Relevant Sections in Text: 2.6, 2. Physics 6010, Fll 2010 Symmetries nd Conservtion Lws: Energy, Momentum nd Angulr Momentum Relevnt Sections in Text: 2.6, 2.7 Symmetries nd Conservtion Lws By conservtion lw we men quntity constructed from

More information

Vectors 2. 1. Recap of vectors

Vectors 2. 1. Recap of vectors Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms

More information

Algebra Review. How well do you remember your algebra?

Algebra Review. How well do you remember your algebra? Algebr Review How well do you remember your lgebr? 1 The Order of Opertions Wht do we men when we write + 4? If we multiply we get 6 nd dding 4 gives 10. But, if we dd + 4 = 7 first, then multiply by then

More information

Review guide for the final exam in Math 233

Review guide for the final exam in Math 233 Review guide for the finl exm in Mth 33 1 Bsic mteril. This review includes the reminder of the mteril for mth 33. The finl exm will be cumultive exm with mny of the problems coming from the mteril covered

More information

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers.

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers. 2 Rtionl Numbers Integers such s 5 were importnt when solving the eqution x+5 = 0. In similr wy, frctions re importnt for solving equtions like 2x = 1. Wht bout equtions like 2x + 1 = 0? Equtions of this

More information

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of

More information

Lecture 5. Inner Product

Lecture 5. Inner Product Lecture 5 Inner Product Let us strt with the following problem. Given point P R nd line L R, how cn we find the point on the line closest to P? Answer: Drw line segment from P meeting the line in right

More information

Rotating DC Motors Part II

Rotating DC Motors Part II Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors

More information

Graphs on Logarithmic and Semilogarithmic Paper

Graphs on Logarithmic and Semilogarithmic Paper 0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl

More information

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one. 5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued

More information

SPECIAL PRODUCTS AND FACTORIZATION

SPECIAL PRODUCTS AND FACTORIZATION MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come

More information

MODULE 3. 0, y = 0 for all y

MODULE 3. 0, y = 0 for all y Topics: Inner products MOULE 3 The inner product of two vectors: The inner product of two vectors x, y V, denoted by x, y is (in generl) complex vlued function which hs the following four properties: i)

More information

Factoring Polynomials

Factoring Polynomials Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles

More information

Exam 1 Study Guide. Differentiation and Anti-differentiation Rules from Calculus I

Exam 1 Study Guide. Differentiation and Anti-differentiation Rules from Calculus I Exm Stuy Guie Mth 2020 - Clculus II, Winter 204 The following is list of importnt concepts from ech section tht will be teste on exm. This is not complete list of the mteril tht you shoul know for the

More information

9 CONTINUOUS DISTRIBUTIONS

9 CONTINUOUS DISTRIBUTIONS 9 CONTINUOUS DISTIBUTIONS A rndom vrible whose vlue my fll nywhere in rnge of vlues is continuous rndom vrible nd will be ssocited with some continuous distribution. Continuous distributions re to discrete

More information

Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1.

Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1. Mth 4, Homework Assignment. Prove tht two nonverticl lines re perpendiculr if nd only if the product of their slopes is. Proof. Let l nd l e nonverticl lines in R of slopes m nd m, respectively. Suppose

More information

PROBLEMS 13 - APPLICATIONS OF DERIVATIVES Page 1

PROBLEMS 13 - APPLICATIONS OF DERIVATIVES Page 1 PROBLEMS - APPLICATIONS OF DERIVATIVES Pge ( ) Wter seeps out of conicl filter t the constnt rte of 5 cc / sec. When the height of wter level in the cone is 5 cm, find the rte t which the height decreses.

More information

Operations with Polynomials

Operations with Polynomials 38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply

More information

AREA OF A SURFACE OF REVOLUTION

AREA OF A SURFACE OF REVOLUTION AREA OF A SURFACE OF REVOLUTION h cut r πr h A surfce of revolution is formed when curve is rotted bout line. Such surfce is the lterl boundr of solid of revolution of the tpe discussed in Sections 7.

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

Linear Equations in Two Variables

Linear Equations in Two Variables Liner Equtions in Two Vribles In this chpter, we ll use the geometry of lines to help us solve equtions. Liner equtions in two vribles If, b, ndr re rel numbers (nd if nd b re not both equl to 0) then

More information

Appendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered:

Appendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered: Appendi D: Completing the Squre nd the Qudrtic Formul Fctoring qudrtic epressions such s: + 6 + 8 ws one of the topics introduced in Appendi C. Fctoring qudrtic epressions is useful skill tht cn help you

More information

Technical Appendix: Multi-Product Firms and Trade Liberalization (Not For Publication)

Technical Appendix: Multi-Product Firms and Trade Liberalization (Not For Publication) Technicl Appenix: Multi-Prouct Firms n Tre Liberlition (Not For Publiction) Anrew B. Bernr Tuck School of Business t Drtmouth, CEPR & NBER Stephen J. Reing Princeton University & CEPR Peter K. Schott Yle

More information

6.2 Volumes of Revolution: The Disk Method

6.2 Volumes of Revolution: The Disk Method mth ppliction: volumes of revolution, prt ii Volumes of Revolution: The Disk Method One of the simplest pplictions of integrtion (Theorem ) nd the ccumultion process is to determine so-clled volumes of

More information

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding 1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde

More information

Babylonian Method of Computing the Square Root: Justifications Based on Fuzzy Techniques and on Computational Complexity

Babylonian Method of Computing the Square Root: Justifications Based on Fuzzy Techniques and on Computational Complexity Bbylonin Method of Computing the Squre Root: Justifictions Bsed on Fuzzy Techniques nd on Computtionl Complexity Olg Koshelev Deprtment of Mthemtics Eduction University of Texs t El Pso 500 W. University

More information

6 Energy Methods And The Energy of Waves MATH 22C

6 Energy Methods And The Energy of Waves MATH 22C 6 Energy Methods And The Energy of Wves MATH 22C. Conservtion of Energy We discuss the principle of conservtion of energy for ODE s, derive the energy ssocited with the hrmonic oscilltor, nd then use this

More information

Econ 4721 Money and Banking Problem Set 2 Answer Key

Econ 4721 Money and Banking Problem Set 2 Answer Key Econ 472 Money nd Bnking Problem Set 2 Answer Key Problem (35 points) Consider n overlpping genertions model in which consumers live for two periods. The number of people born in ech genertion grows in

More information

UNIVERSITY OF OSLO FACULTY OF MATHEMATICS AND NATURAL SCIENCES

UNIVERSITY OF OSLO FACULTY OF MATHEMATICS AND NATURAL SCIENCES UNIVERSITY OF OSLO FACULTY OF MATHEMATICS AND NATURAL SCIENCES Solution to exm in: FYS30, Quntum mechnics Dy of exm: Nov. 30. 05 Permitted mteril: Approved clcultor, D.J. Griffiths: Introduction to Quntum

More information

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes The Sclr Product 9.3 Introduction There re two kinds of multipliction involving vectors. The first is known s the sclr product or dot product. This is so-clled becuse when the sclr product of two vectors

More information

A.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324

A.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324 A P P E N D I X A Vectors CONTENTS A.1 Scling vector................................................ 321 A.2 Unit or Direction vectors...................................... 321 A.3 Vector ddition.................................................

More information

1.2 The Integers and Rational Numbers

1.2 The Integers and Rational Numbers .2. THE INTEGERS AND RATIONAL NUMBERS.2 The Integers n Rtionl Numers The elements of the set of integers: consist of three types of numers: Z {..., 5, 4, 3, 2,, 0,, 2, 3, 4, 5,...} I. The (positive) nturl

More information

Lecture 3 Gaussian Probability Distribution

Lecture 3 Gaussian Probability Distribution Lecture 3 Gussin Probbility Distribution Introduction l Gussin probbility distribution is perhps the most used distribution in ll of science. u lso clled bell shped curve or norml distribution l Unlike

More information

Integration. 148 Chapter 7 Integration

Integration. 148 Chapter 7 Integration 48 Chpter 7 Integrtion 7 Integrtion t ech, by supposing tht during ech tenth of second the object is going t constnt speed Since the object initilly hs speed, we gin suppose it mintins this speed, but

More information

Week 11 - Inductance

Week 11 - Inductance Week - Inductnce November 6, 202 Exercise.: Discussion Questions ) A trnsformer consists bsiclly of two coils in close proximity but not in electricl contct. A current in one coil mgneticlly induces n

More information

2005-06 Second Term MAT2060B 1. Supplementary Notes 3 Interchange of Differentiation and Integration

2005-06 Second Term MAT2060B 1. Supplementary Notes 3 Interchange of Differentiation and Integration Source: http://www.mth.cuhk.edu.hk/~mt26/mt26b/notes/notes3.pdf 25-6 Second Term MAT26B 1 Supplementry Notes 3 Interchnge of Differentition nd Integrtion The theme of this course is bout vrious limiting

More information

Regular Sets and Expressions

Regular Sets and Expressions Regulr Sets nd Expressions Finite utomt re importnt in science, mthemtics, nd engineering. Engineers like them ecuse they re super models for circuits (And, since the dvent of VLSI systems sometimes finite

More information

Cypress Creek High School IB Physics SL/AP Physics B 2012 2013 MP2 Test 1 Newton s Laws. Name: SOLUTIONS Date: Period:

Cypress Creek High School IB Physics SL/AP Physics B 2012 2013 MP2 Test 1 Newton s Laws. Name: SOLUTIONS Date: Period: Nme: SOLUTIONS Dte: Period: Directions: Solve ny 5 problems. You my ttempt dditionl problems for extr credit. 1. Two blocks re sliding to the right cross horizontl surfce, s the drwing shows. In Cse A

More information

Section 7-4 Translation of Axes

Section 7-4 Translation of Axes 62 7 ADDITIONAL TOPICS IN ANALYTIC GEOMETRY Section 7-4 Trnsltion of Aes Trnsltion of Aes Stndrd Equtions of Trnslted Conics Grphing Equtions of the Form A 2 C 2 D E F 0 Finding Equtions of Conics In the

More information

addition, there are double entries for the symbols used to signify different parameters. These parameters are explained in this appendix.

addition, there are double entries for the symbols used to signify different parameters. These parameters are explained in this appendix. APPENDIX A: The ellipse August 15, 1997 Becuse of its importnce in both pproximting the erth s shpe nd describing stellite orbits, n informl discussion of the ellipse is presented in this ppendix. The

More information

Lectures 8 and 9 1 Rectangular waveguides

Lectures 8 and 9 1 Rectangular waveguides 1 Lectures 8 nd 9 1 Rectngulr wveguides y b x z Consider rectngulr wveguide with 0 < x b. There re two types of wves in hollow wveguide with only one conductor; Trnsverse electric wves

More information

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3. The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only

More information

Homework 3 Solutions

Homework 3 Solutions CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 3 Solutions 1. Give NFAs with the specified numer of sttes recognizing ech of the following lnguges. In ll cses, the lphet is Σ = {,1}.

More information

1. In the Bohr model, compare the magnitudes of the electron s kinetic and potential energies in orbit. What does this imply?

1. In the Bohr model, compare the magnitudes of the electron s kinetic and potential energies in orbit. What does this imply? Assignment 3: Bohr s model nd lser fundmentls 1. In the Bohr model, compre the mgnitudes of the electron s kinetic nd potentil energies in orit. Wht does this imply? When n electron moves in n orit, the

More information

www.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values)

www.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values) www.mthsbo.org.uk CORE SUMMARY NOTES Functions A function is rule which genertes ectl ONE OUTPUT for EVERY INPUT. To be defined full the function hs RULE tells ou how to clculte the output from the input

More information

Binary Representation of Numbers Autar Kaw

Binary Representation of Numbers Autar Kaw Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy

More information

Basic Analysis of Autarky and Free Trade Models

Basic Analysis of Autarky and Free Trade Models Bsic Anlysis of Autrky nd Free Trde Models AUTARKY Autrky condition in prticulr commodity mrket refers to sitution in which country does not engge in ny trde in tht commodity with other countries. Consequently

More information

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time

More information

Calculus of variations. I = F(y, y,x) dx (1)

Calculus of variations. I = F(y, y,x) dx (1) MT58 - Clculus of vritions Introuction. Suppose y(x) is efine on the intervl, Now suppose n so efines curve on the ( x,y) plne. I = F(y, y,x) x (1) with the erivtive of y(x). The vlue of this will epen

More information

MATH 150 HOMEWORK 4 SOLUTIONS

MATH 150 HOMEWORK 4 SOLUTIONS MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive

More information

All pay auctions with certain and uncertain prizes a comment

All pay auctions with certain and uncertain prizes a comment CENTER FOR RESEARC IN ECONOMICS AND MANAGEMENT CREAM Publiction No. 1-2015 All py uctions with certin nd uncertin prizes comment Christin Riis All py uctions with certin nd uncertin prizes comment Christin

More information

Review Problems for the Final of Math 121, Fall 2014

Review Problems for the Final of Math 121, Fall 2014 Review Problems for the Finl of Mth, Fll The following is collection of vrious types of smple problems covering sections.,.5, nd.7 6.6 of the text which constitute only prt of the common Mth Finl. Since

More information

g(y(a), y(b)) = o, B a y(a)+b b y(b)=c, Boundary Value Problems Lecture Notes to Accompany

g(y(a), y(b)) = o, B a y(a)+b b y(b)=c, Boundary Value Problems Lecture Notes to Accompany Lecture Notes to Accompny Scientific Computing An Introductory Survey Second Edition by Michel T Heth Boundry Vlue Problems Side conditions prescribing solution or derivtive vlues t specified points required

More information

On the degrees of freedom in GR

On the degrees of freedom in GR On the degrees of freedom in GR István Rácz Wigner RCP Budpest rcz.istvn@wigner.mt.hu University of the Bsque Country Bilbo, 27 My, 2015 István Rácz (Wigner RCP, Budpest) degrees of freedom 27 My, 2015

More information

PHY 140A: Solid State Physics. Solution to Homework #2

PHY 140A: Solid State Physics. Solution to Homework #2 PHY 140A: Solid Stte Physics Solution to Homework # TA: Xun Ji 1 October 14, 006 1 Emil: jixun@physics.ucl.edu Problem #1 Prove tht the reciprocl lttice for the reciprocl lttice is the originl lttice.

More information

Angles 2.1. Exercise 2.1... Find the size of the lettered angles. Give reasons for your answers. a) b) c) Example

Angles 2.1. Exercise 2.1... Find the size of the lettered angles. Give reasons for your answers. a) b) c) Example 2.1 Angles Reognise lternte n orresponing ngles Key wors prllel lternte orresponing vertilly opposite Rememer, prllel lines re stright lines whih never meet or ross. The rrows show tht the lines re prllel

More information

Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm

Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm Bibhudendr chry, Girij Snkr Rth, Srt Kumr Ptr, nd Sroj Kumr Pnigrhy Novel Methods of Generting Self-Invertible Mtrix for Hill Cipher lgorithm Bibhudendr chry Deprtment of Electronics & Communiction Engineering

More information

Version 001 Summer Review #03 tubman (IBII20142015) 1

Version 001 Summer Review #03 tubman (IBII20142015) 1 Version 001 Summer Reiew #03 tubmn (IBII20142015) 1 This print-out should he 35 questions. Multiple-choice questions my continue on the next column or pge find ll choices before nswering. Concept 20 P03

More information

Unit 6: Exponents and Radicals

Unit 6: Exponents and Radicals Eponents nd Rdicls -: The Rel Numer Sstem Unit : Eponents nd Rdicls Pure Mth 0 Notes Nturl Numers (N): - counting numers. {,,,,, } Whole Numers (W): - counting numers with 0. {0,,,,,, } Integers (I): -

More information

Module Summary Sheets. C3, Methods for Advanced Mathematics (Version B reference to new book) Topic 2: Natural Logarithms and Exponentials

Module Summary Sheets. C3, Methods for Advanced Mathematics (Version B reference to new book) Topic 2: Natural Logarithms and Exponentials MEI Mthemtics in Ection nd Instry Topic : Proof MEI Structured Mthemtics Mole Summry Sheets C, Methods for Anced Mthemtics (Version B reference to new book) Topic : Nturl Logrithms nd Eponentils Topic

More information

2m + V ( ˆX) (1) 2. Consider a particle in one dimensions whose Hamiltonian is given by

2m + V ( ˆX) (1) 2. Consider a particle in one dimensions whose Hamiltonian is given by Teoretisk Fysik KTH Advnced QM SI2380), Exercise 8 12 1. 3 Consider prticle in one dimensions whose Hmiltonin is given by Ĥ = ˆP 2 2m + V ˆX) 1) with [ ˆP, ˆX] = i. By clculting [ ˆX, [ ˆX, Ĥ]] prove tht

More information

Pentominoes. Pentominoes. Bruce Baguley Cascade Math Systems, LLC. The pentominoes are a simple-looking set of objects through which some powerful

Pentominoes. Pentominoes. Bruce Baguley Cascade Math Systems, LLC. The pentominoes are a simple-looking set of objects through which some powerful Pentominoes Bruce Bguley Cscde Mth Systems, LLC Astrct. Pentominoes nd their reltives the polyominoes, polycues, nd polyhypercues will e used to explore nd pply vrious importnt mthemticl concepts. In this

More information

4 Approximations. 4.1 Background. D. Levy

4 Approximations. 4.1 Background. D. Levy D. Levy 4 Approximtions 4.1 Bckground In this chpter we re interested in pproximtion problems. Generlly speking, strting from function f(x) we would like to find different function g(x) tht belongs to

More information

6.5 - Areas of Surfaces of Revolution and the Theorems of Pappus

6.5 - Areas of Surfaces of Revolution and the Theorems of Pappus Lecture_06_05.n 1 6.5 - Ares of Surfces of Revolution n the Theorems of Pppus Introuction Suppose we rotte some curve out line to otin surfce, we cn use efinite integrl to clculte the re of the surfce.

More information

QUADRATURE METHODS. July 19, 2011. Kenneth L. Judd. Hoover Institution

QUADRATURE METHODS. July 19, 2011. Kenneth L. Judd. Hoover Institution QUADRATURE METHODS Kenneth L. Judd Hoover Institution July 19, 2011 1 Integrtion Most integrls cnnot be evluted nlyticlly Integrls frequently rise in economics Expected utility Discounted utility nd profits

More information

MULTIPLYING OUT & FACTORING

MULTIPLYING OUT & FACTORING igitl ircuit Engineering MULTIPLYING OUT & FTORING I IGITL SIGN Except for #$&@ fctoring st istributive X + X = X( + ) 2nd istributive (X + )(X + ) = X + (X + )(X + )(X + ) = X + Swp (X + )(X + ) = X +

More information

The Principle of No Punishment Without a Law for It LEARNING OBJECTIVES: CRLA.GAAN:15.01.07-01.07

The Principle of No Punishment Without a Law for It LEARNING OBJECTIVES: CRLA.GAAN:15.01.07-01.07 True / Flse 1. An ex post fcto lw is lw which hs retroctive effect.. True b. Flse True 2. An lcoholic cnnot be convicte for the offense of being runk in public plce bse upon the Eighth n Fourteenth Amenments..

More information

Pure C4. Revision Notes

Pure C4. Revision Notes Pure C4 Revision Notes Mrch 0 Contents Core 4 Alger Prtil frctions Coordinte Geometry 5 Prmetric equtions 5 Conversion from prmetric to Crtesin form 6 Are under curve given prmetriclly 7 Sequences nd

More information

Basically, logarithmic transformations ask, a number, to what power equals another number?

Basically, logarithmic transformations ask, a number, to what power equals another number? Wht i logrithm? To nwer thi, firt try to nwer the following: wht i x in thi eqution? 9 = 3 x wht i x in thi eqution? 8 = 2 x Biclly, logrithmic trnformtion k, number, to wht power equl nother number? In

More information

Answer, Key Homework 10 David McIntyre 1

Answer, Key Homework 10 David McIntyre 1 Answer, Key Homework 10 Dvid McIntyre 1 This print-out should hve 22 questions, check tht it is complete. Multiple-choice questions my continue on the next column or pge: find ll choices efore mking your

More information

Harvard College. Math 21a: Multivariable Calculus Formula and Theorem Review

Harvard College. Math 21a: Multivariable Calculus Formula and Theorem Review Hrvrd College Mth 21: Multivrible Clculus Formul nd Theorem Review Tommy McWillim, 13 tmcwillim@college.hrvrd.edu December 15, 2009 1 Contents Tble of Contents 4 9 Vectors nd the Geometry of Spce 5 9.1

More information

3 The Utility Maximization Problem

3 The Utility Maximization Problem 3 The Utility Mxiiztion Proble We hve now discussed how to describe preferences in ters of utility functions nd how to forulte siple budget sets. The rtionl choice ssuption, tht consuers pick the best

More information

Welch Allyn CardioPerfect Workstation Installation Guide

Welch Allyn CardioPerfect Workstation Installation Guide Welch Allyn CrdioPerfect Worksttion Instlltion Guide INSTALLING CARDIOPERFECT WORKSTATION SOFTWARE & ACCESSORIES ON A SINGLE PC For softwre version 1.6.5 or lter For network instlltion, plese refer to

More information

Bayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom

Bayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom Byesin Updting with Continuous Priors Clss 3, 8.05, Spring 04 Jeremy Orloff nd Jonthn Bloom Lerning Gols. Understnd prmeterized fmily of distriutions s representing continuous rnge of hypotheses for the

More information

AAPT UNITED STATES PHYSICS TEAM AIP 2010

AAPT UNITED STATES PHYSICS TEAM AIP 2010 2010 F = m Exm 1 AAPT UNITED STATES PHYSICS TEAM AIP 2010 Enti non multiplicnd sunt preter necessittem 2010 F = m Contest 25 QUESTIONS - 75 MINUTES INSTRUCTIONS DO NOT OPEN THIS TEST UNTIL YOU ARE TOLD

More information

GENERALIZED QUATERNIONS SERRET-FRENET AND BISHOP FRAMES SERRET-FRENET VE BISHOP ÇATILARI

GENERALIZED QUATERNIONS SERRET-FRENET AND BISHOP FRAMES SERRET-FRENET VE BISHOP ÇATILARI Sy 9, Arlk 0 GENERALIZED QUATERNIONS SERRET-FRENET AND BISHOP FRAMES Erhn ATA*, Ysemin KEMER, Ali ATASOY Dumlupnr Uniersity, Fculty of Science nd Arts, Deprtment of Mthemtics, KÜTAHYA, et@dpu.edu.tr ABSTRACT

More information

. At first sight a! b seems an unwieldy formula but use of the following mnemonic will possibly help. a 1 a 2 a 3 a 1 a 2

. At first sight a! b seems an unwieldy formula but use of the following mnemonic will possibly help. a 1 a 2 a 3 a 1 a 2 7 CHAPTER THREE. Cross Product Given two vectors = (,, nd = (,, in R, the cross product of nd written! is defined to e: " = (!,!,! Note! clled cross is VECTOR (unlike which is sclr. Exmple (,, " (4,5,6

More information

2.016 Hydrodynamics Prof. A.H. Techet

2.016 Hydrodynamics Prof. A.H. Techet .01 Hydrodynics Reding #.01 Hydrodynics Prof. A.H. Techet Added Mss For the cse of unstedy otion of bodies underwter or unstedy flow round objects, we ust consider the dditionl effect (force) resulting

More information

Vector differentiation. Chapters 6, 7

Vector differentiation. Chapters 6, 7 Chpter 2 Vectors Courtesy NASA/JPL-Cltech Summry (see exmples in Hw 1, 2, 3) Circ 1900 A.D., J. Willird Gis invented useful comintion of mgnitude nd direction clled vectors nd their higher-dimensionl counterprts

More information

Warm-up for Differential Calculus

Warm-up for Differential Calculus Summer Assignment Wrm-up for Differentil Clculus Who should complete this pcket? Students who hve completed Functions or Honors Functions nd will be tking Differentil Clculus in the fll of 015. Due Dte:

More information

Exponential and Logarithmic Functions

Exponential and Logarithmic Functions Nme Chpter Eponentil nd Logrithmic Functions Section. Eponentil Functions nd Their Grphs Objective: In this lesson ou lerned how to recognize, evlute, nd grph eponentil functions. Importnt Vocbulr Define

More information

Section 5-4 Trigonometric Functions

Section 5-4 Trigonometric Functions 5- Trigonometric Functions Section 5- Trigonometric Functions Definition of the Trigonometric Functions Clcultor Evlution of Trigonometric Functions Definition of the Trigonometric Functions Alternte Form

More information

Space Vector Pulse Width Modulation Based Induction Motor with V/F Control

Space Vector Pulse Width Modulation Based Induction Motor with V/F Control Interntionl Journl of Science nd Reserch (IJSR) Spce Vector Pulse Width Modultion Bsed Induction Motor with V/F Control Vikrmrjn Jmbulingm Electricl nd Electronics Engineering, VIT University, Indi Abstrct:

More information

MA 15800 Lesson 16 Notes Summer 2016 Properties of Logarithms. Remember: A logarithm is an exponent! It behaves like an exponent!

MA 15800 Lesson 16 Notes Summer 2016 Properties of Logarithms. Remember: A logarithm is an exponent! It behaves like an exponent! MA 5800 Lesson 6 otes Summer 06 Rememer: A logrithm is n eponent! It ehves like n eponent! In the lst lesson, we discussed four properties of logrithms. ) log 0 ) log ) log log 4) This lesson covers more

More information

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator AP Clculus Finl Review Sheet When you see the words. This is wht you think of doing. Find the zeros Find roots. Set function =, fctor or use qudrtic eqution if qudrtic, grph to find zeros on clcultor.

More information

FUNCTIONS AND EQUATIONS. xεs. The simplest way to represent a set is by listing its members. We use the notation

FUNCTIONS AND EQUATIONS. xεs. The simplest way to represent a set is by listing its members. We use the notation FUNCTIONS AND EQUATIONS. SETS AND SUBSETS.. Definition of set. A set is ny collection of objects which re clled its elements. If x is n element of the set S, we sy tht x belongs to S nd write If y does

More information