Section 2.3. Motion Along a Curve. The Calculus of Functions of Several Variables

Size: px
Start display at page:

Download "Section 2.3. Motion Along a Curve. The Calculus of Functions of Several Variables"

Transcription

1 The Clculus of Functions of Severl Vribles Section 2.3 Motion Along Curve Velocity ccelertion Consider prticle moving in spce so tht its position t time t is given by x(t. We think of x(t s moving long curve C prmetrized by function f, where f : R R n. Hence we hve x(t f(t, or, more simply, x f(t. For us, n will lwys be 2 or 3, but there re physicl situtions in which it is resonble to hve lrger vlues of n, most of wht we do in this section will pply to those cses eqully well. This is lso good time to introduce the Leibniz nottion for derivtive, thus writing dx Df(t. (2.3. At given time t 0, the vector x(t 0 + h x(t 0 represents the mgnitude direction of the chnge of position of the prticle long C from time t 0 to time t 0 + h, s shown in Figure Dividing by h, we obtin vector, x(t 0 + h x(t 0, (2.3.2 h with the sme direction, but with length pproximting the verge speed of the prticle over the time intervl from t 0 to t 0 + h. Assuming differentibility tking the limit s h pproches 0, we hve the following definition. x( t 0 x ( t + h 0 t 0 x( t 0 + h - x( Figure 2.3. Motion long curve C Copyright c by Dn Sloughter 200

2 2 Motion Along Curve Section 2.3 Definition Suppose x(t is the position of prticle t time t moving long curve C in R n. We cll the velocity of the prticle t time t we cll the speed of the prticle t time t. Moreover, we cll v(t d x(t (2.3.3 s(t v(t (2.3. (t d v(t (2.3.5 the ccelertion of the prticle t time t. Exmple is Consider prticle moving long n ellipse so tht its position t ny time t x (2 cos(t, sin(t. Then its velocity is its speed is its ccelertion is For exmple, t t s we hve v ( 2 sin(t, cos(t, sin 2 (t + cos 2 (t 3 sin 2 (t +, ( 2 cos(t, sin(t. x v s ( 2, 2, ( 2,, 2 5 2, ( 2,. 2 See Figure Notice tht, in this exmples, x for ll vlues of t.

3 Section 2.3 Motion Along Curve 3 v 0.5 x Figure Position, velocity, ccelertion vectors for motion on n ellipse Curvture Suppose x is the position, v is the velocity, s is the speed, is the ccelertion, t time t, of prticle moving long curve C. Let T (t be the unit tngent vector N(t be the principl unit norml vector t x. Now T (t dx dx v v v s, (2.3.6 so v s T (t. (2.3.7 Thus Since we hve dv d ds st (t ds N(t T (t + sdt (t (2.3.8 DT (t DT (t, (2.3.9 T (t + s DT (t N(t. (2.3.0 Note tht (2.3.0 expresses the ccelertion of prticle s the sum of sclr multiples of the unit tngent vector the principl unit norml vector. Tht is, T T (t + N N(t, (2.3. where T ds (2.3.2 N s DT (t. (2.3.3

4 Motion Along Curve Section 2.3 However, since T (t N(t re orthogonl unit vectors, we lso hve T (t ( T T (t + N N(t T (t T (T (t T (t + N (T (t N(t (2.3. T N(t ( T T (t + N N(t N(t T (T (t N(t + N (N(t N(t N. (2.3.5 Hence T is the coordinte of in the direction of T (t N is the coordinte of in the direction of N(t. Thus (2.3.0 writes the ccelertion s sum of its component in the direction of the unit tngent vector its component in the direction of the principl unit norml vector. In prticulr, this shows tht the ccelertion lies in the plne determined by T (t N(t. Moreover, T is the rte of chnge of speed, while N is the product of the speed s DT (t, the mgnitude of the rte of chnge of the unit tngent vector. Since T (t for ll t, DT (t reflects only the rte t which the direction of T (t is chnging; in other words, DT (t is mesurement of how fst the direction of the prticle moving long the curve C is chnging t time t. If we divide this by the speed of the prticle, we obtin strd mesurement of the rte of chnge of direction of C itself. Definition Given curve C with smooth prmetriztion x f(t, we cll κ DT (t s(t (2.3.6 the curvture of C t f(t. Using (2.3.6, we cn rewrite (2.3.0 s ds T (t + s2 κn(t. (2.3.7 Hence the coordinte of ccelertion in the direction of the tngent vector is the rte of chnge of the speed the coordinte of ccelertion in the direction of the principl norml vector is the squre of the speed times the curvture. Thus the greter the speed or the tighter the curve, the lrger the size of the norml component of ccelertion; the greter the rte t which speed is incresing, the greter the tngentil component of ccelertion. This is why drivers re dvised to slow down while pproching curve, then to ccelerte while driving through the curve. Exmple is given by Suppose prticle moves long line in R n so tht its position t ny time t x tw + p,

5 Section 2.3 Motion Along Curve 5 where w 0 p re vectors in R n. Then the prticle hs velocity v dx w speed s w, so the unit tngent vector is T (t v s Hence T (t is constnt vector, so DT (t 0 w w. κ DT (t s 0 for ll t. In other words, line hs zero curvture, s we should expect since the tngent vector never chnges direction. Exmple Consider prticle moving long circle C in R 2 of rdius r > 0 center (, b, with its position t time given by x (r cos(t +, r sin(t + b. Then its velocity, speed, ccelertion re s v ( r sin(t, r cos(t, r 2 sin ( t + r 2 cos 2 (t r ( r cos(t, r sin(t, respectively. Hence the unit tngent vector is T (t v s ( sin(t, cos(t. Thus DT (t ( cos(t, sin(t DT (t cos 2 (t + sin 2 (t. Hence the curvture of C is, for ll t, κ DT (t s r.

6 6 Motion Along Curve Section 2.3 Thus circle hs constnt curvture, nmely, the reciprocl of the rdius of the circle. In prticulr, the lrger the rdius of circle, the smller the curvture. Also, note tht so, from (2.3.0, we hve ds d r 0, rn(t, which we cn verify directly. Tht is, the ccelertion hs norml component, but no tngentil component. Exmple time t is Now consider prticle moving long n ellipse E so tht its position t ny x (2 cos(t, sin(t. Then, s we sw bove, the velocity speed of the prticle re v ( 2 sin(t, cos(t s 3 sin( 2 +, respectively. For purposes of differentition, it will be helpful to rewrite s s cos(2t s ( cos(2t Then the unit tngent vector is 2 T (t ( 2 sin(t, cos(t. 5 3 cos(2t Thus 2 DT (t 5 3 cos(2t So, for exmple, t t, we hve 3 2 sin(2t ( 2 cos(t, sin(t ( 2 sin(t, cos(t. (5 3 cos(2t 3 2 x v s ( 2, 2, ( 2,, 2 5 2,

7 Section 2.3 Motion Along Curve 7 ( T ( DT 5 ( 2,, 5 (, 8, 5 ( DT ( 2, Hence the curvture of E t is 2 κ , where the finl numericl vlue hs been rounded to four deciml plces. Although the generl expression for κ is complicted, it is esily computed plotted using computer lgebr system, s shown in Figure Compring this with the plot of this ellipse in Figure 2.3.2, we cn see why the curvture is gretest round (2, 0 ( 2, 0, corresponding to t 0, t, t 2, smllest t (0, (0,, corresponding to t 2 t 3 2. Finlly, s we sw bove, the ccelertion of the prticle is so Now if we write ( 2 cos(t, sin(t, then we my either compute, using (2.3.7, T ds or, using (2.3. (2.3.5, T ( 2,. 2 T T (t + N N(t, 2 (5 3 cos(2t 2 (3 sin(2t N s 2 k ( T , 5 0 ( 2, ( 2, N ( N ( 2, 2 5 (, 8 0.

8 8 Motion Along Curve Section Figure Curvture of n ellipse Hence, in either cse, 3 ( T + ( N. 0 0 Arc length Suppose prticle moves long curve C in R n so tht its position t time t is given by x f(t let D be the distnce trveled by the prticle from time t to t b. We will suppose tht s(t v(t is continuous on [, b]. To pproximte D, we divide [, b] into n subintervls, ech of length t b n, lbel the endpoints of the subintervls t 0, t,..., t n b. If t is smll, then the distnce the prticle trvels during the jth subintervl, j, 2,..., n, should be, pproximtely, s t, n pproximtion which improves s t decreses. Hence, for sufficiently smll t (equivlently, sufficiently lrge n, n s(t j t (2.3.8 j will provide n pproximtion s close to D s desired. Tht is, we should define D lim n j n s(t j t. (2.3.9 But (2.3.8 is Riemnn sum (in prticulr, left-h rule sum which pproximtes the definite integrl b s(t. (2.3.20

9 Section 2.3 Motion Along Curve 9 Hence the limit in (2.3.9 is the vlue of the definite integrl (2.3.20, so we hve the following definition. Definition Suppose prticle moves long curve C in R n so tht its position t time t is given by x f(t. Suppose the velocity v(t is continuous on the intervl [, b]. Then we define the distnce trveled by the prticle from time t to time t b to be b v(t. (2.3.2 Note tht the distnce trveled is the length of the curve C if the prticle trverses C exctly once. In tht cse, we cll (2.3.2 the length of C. In generl, for ny t such tht the intervl [, t] is in the domin of f, we my clculte σ(t which we cll the rc length function for C. Exmple t Consider the helix H prmetrized by f(t (cos(t, sin(t, t. v(u du, ( If we let L denote the length of one complete loop of the helix, then prticle trveling long H ccording to x f(t will trverse this distnce s t goes from 0 to 2. Since we hve Hence Exmple by v(t v(t ( sin(t, cos(t,, L sin 2 (t + cos 2 (t Suppose prticle moves long curve C so tht its position t time t is given x (( + 2 cos(t cos(t, ( + 2 cos(t sin(t. Then C is the curve in Figure 2.3., which is clled limçon. The prticle will trverse this curve once s t goes from 0 to 2. Now so v ( ( + 2 cos(t sin(t 2 sin(t cos(t, ( + 2 cos(t cos(t 2 sin 2 (t, v 2 v v ( + 2 cos(t 2 sin 2 (t + ( + 2 cos(t sin 2 (t cos(t + sin 2 (t cos 2 (t + ( + 2 cos(t 2 cos 2 (t ( + 2 cos(t sin 2 (t cos(t + sin (t ( + 2 cos(t 2 (sin 2 (t + cos 2 (t + sin 2 (t cos 2 (t + sin (t ( + 2 cos(t 2 + sin 2 (t cos 2 (t + sin (t,

10 0 Motion Along Curve Section Figure 2.3. A limçon Hence the length of C is 2 0 ( + 2 cos(t 2 + sin 2 (t cos 2 (t + sin (t 3.369, where the integrtion ws performed with computer the finl result rounded to four deciml plces. Note tht integrting from 0 to would find the distnce the prticle trvels in going round C twice, nmely, 0 ( + 2 cos(t 2 + sin 2 (t cos 2 (t + sin (t Problems. For ech of the following, suppose prticle is moving long curve so tht its position t time t is given by x f(t. Find the velocity ccelertion of the prticle. ( f(t (t 2 + 3, sin(t (b f(t (t 2 e 2t, t 3 e 2t, 3t (c f(t (cos(3t 2, sin(3t 2 (d f(t (t cos(t 2, t sin(t 2, 3t cos(t 2 2. Find the curvture of the following curves t the given point. ( f(t (t, t 2, t (b f(t (3 cos(t, sin(t, t

11 Section 2.3 Motion Along Curve (c f(t (cos(t, sin(t, t, t 3 (d f(t (cos(t, sin(t, e t, t 0 3. Plot the curvture for ech of the following curves over the given intervl I. ( f(t (t, t 2, I [ 2, 2] (b f(t (cos(t, 3 sin(t, I [0, 2] (c g(t (( + 2 cos(t cos(t, ( + 2 cos(t sin(t, I [0, 2] (d h(t (2 cos(t, sin(t, 2t, I [0, 2] (e f(t ( cos(t + sin(t, sin(t + sin(t, I [0, 2]. For ech of the following, suppose prticle is moving long curve so tht its position t time t is given by x f(t. Find the coordintes of ccelertion in the direction of the unit tngent vector in the direction of the principl unit norml vector t the specified point. Write the ccelertion s sum of sclr multiples of the unit tngent vector the principl unit norml vector. ( f(t (sin(t, cos(t, t 3 (b f(t (cos(t, 3 sin(t, t (c f(t (t, t 2, t (d f(t (sin(t, cos(t, t, t 3 5. Suppose prticle moves long curve C in R 3 so tht its position t time t is given by x f(t. Let v, s, denote the velocity, speed, ccelertion of the prticle, respectively, let κ be the curvture of C. ( Using the fcts v st (t ds T (t + s2 κn(t, show tht v s 3 κ(t (t N(t. (b Use the result of prt ( to show tht κ v v Let H be the helix in R 3 prmetrized by f(t (cos(t, sin(t, t. Use the result from Problem 5 to compute the curvture κ of H for ny time t. 7. Let C be the ellipticl helix in R 3 prmetrized by f(t ( cos(t, 2 sin(t, t. Use the result from Problem 5 to compute the curvture κ of C t t. 8. Let C be the curve in R 2 which is the grph of the function ϕ : R R. Use the result from Problem 5 to show tht the curvture of C t the point (t, ϕ(t is κ ϕ (t. ( + (ϕ (t 2 3 2

12 2 Motion Along Curve Section Let P be the grph of f(t t 2. Use the result from Problem 8 to find the curvture of P t (, (2,. 0. Let C be the grph of f(t t 3. Use the result from Problem 8 to find the curvture of C t (, (2, 8.. Let C be the grph of g(t sin(t. Use the result from Problem 8 to find the curvture of C t ( ( 2,, For ech of the following, suppose prticle is moving long curve so tht its position t time t is given by x f(t. Find the distnce trveled by the prticle over the given time intervl. ( f(t (sin(t, 3 cos(t, I [0, 2] (b f(t (cos(t, sin(t, 2t, I [0, ] (c f(t (t, t 2, I [0, 2] (d f(t (t cos(t, t sin(t, I [0, 2] (e f(t (cos(2t, sin(2t, 3t 2, t, I [0, ] (f f(t (e t cos(t, e t sin(t, I [ 2, 2] (g f(t ( cos(t + sin(t, sin(t + sin(t, I [0, 2] 3. Verify tht the circumference of circle of rdius r is 2r.. The curve prmetrized by f(t (sin(2t cos(t, sin(2t sin(t hs four petls. Find the length of one of these petls. 5. The curve C prmetrized by h(t (cos 3 (t, sin 3 (t is clled hypocycloid (see Figure in Section 2.3. Find the length of C. 6. Suppose ϕ : R R is continuously differentible let C be the prt of the grph of ϕ over the intervl [, b]. Show tht the length of C is b + (ϕ (t Use the result from Problem 6 to find the length of one rch of the grph of f(t sin(t. 8. Let h : R R n prmetrize curve C. We sy C is prmetrized by rc length if Dh(t for ll t. ( Let σ be the rc length function for C using the prmetriztion f let σ be its inverse function. Show tht the function g : R R n defined by g(u f(σ (u prmetrizes C by rc length.

13 Section 2.3 Motion Along Curve 3 (b Let C be the circulr helix in R 3 with prmetriztion f(t (cos(t, sin(t, t. Find function g : R R n which prmetrizes C by rc length. 9. Suppose f : R R n is continuous on the closed intervl [, b] hs coordinte functions f, f 2,..., f n. We define the definite integrl of f over the intervl [, b] to be ( b b b b f(t f (t, f 2 (t,..., f n (t. Show tht if prticle moves so its velocity t time t is v(t, then, ssuming v is continuous function on n intervl [, b], the position of the prticle for ny time t in [, b] is given by x(t t v(sds + x(. 20. Suppose prticle moves long curve in R 3 so tht its velocity t ny time t is v(t (cos(2t, sin(2t, 3t. If the prticle is t (0,, 0 when t 0, use Problem 9 to determine its position for ny other time t. 2. Suppose prticle moves long curve in R 3 so tht its ccelertion t ny time t is (t (cos(t, sin(t, 0. If the prticle is t (, 2, 0 with velocity (0,, t time t 0, use Problem 9 to determine its position for ny other time t. 22. Suppose projectile is fired from the ground t n ngle α with n initil speed v 0, s shown in Figure Let x(t, v(t, (t be the position, velocity, ccelertion, respectively, of the projectile t time t. v(0 α Figure The pth of projectile

14 Motion Along Curve Section 2.3 ( Explin why x(0 (0, 0, v(0 (v 0 cos(α, v 0 sin(α, (t (0, g for ll t, where g 9.8 meters per second per second is the ccelertion due to grvity. (b Use Problem 9 to find v(t. (c Use Problem 9 to find x(t. (d Show tht the curve prmetrized by x(t is prbol. Tht is, let x(t (x, y show tht y x 2 + bx + c for some constnts, b, c. (e Show tht the rnge of the projectile, tht is, the horizontl distnce trveled, is R v 0 sin(2α g conclude tht the rnge is mximized when α. (f When does the projectile hit the ground? (g Wht is the mximum height reched by the projectile? When does it rech this height? 23. Suppose, 2,..., m re unit vectors in R n, m n, which re mutully orthogonl (tht is, i j when i j. If x is vector in R n with show tht x i x i, i, 2,..., m. x x + x x m m,

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

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 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

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

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

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

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

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

Applications to Physics and Engineering

Applications to Physics and Engineering Section 7.5 Applictions to Physics nd Engineering Applictions to Physics nd Engineering Work The term work is used in everydy lnguge to men the totl mount of effort required to perform tsk. In physics

More information

Derivatives and Rates of Change

Derivatives and Rates of Change Section 2.1 Derivtives nd Rtes of Cnge 2010 Kiryl Tsiscnk Derivtives nd Rtes of Cnge Te Tngent Problem EXAMPLE: Grp te prbol y = x 2 nd te tngent line t te point P(1,1). Solution: We ve: DEFINITION: Te

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

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

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

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

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

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

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

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

The Definite Integral

The Definite Integral Chpter 4 The Definite Integrl 4. Determining distnce trveled from velocity Motivting Questions In this section, we strive to understnd the ides generted by the following importnt questions: If we know

More information

Radius of the Earth - Radii Used in Geodesy James R. Clynch February 2006

Radius of the Earth - Radii Used in Geodesy James R. Clynch February 2006 dius of the Erth - dii Used in Geodesy Jmes. Clynch Februry 006 I. Erth dii Uses There is only one rdius of sphere. The erth is pproximtely sphere nd therefore, for some cses, this pproximtion is dequte.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Euler Euler Everywhere Using the Euler-Lagrange Equation to Solve Calculus of Variation Problems

Euler Euler Everywhere Using the Euler-Lagrange Equation to Solve Calculus of Variation Problems Euler Euler Everywhere Using the Euler-Lgrnge Eqution to Solve Clculus of Vrition Problems Jenine Smllwood Principles of Anlysis Professor Flschk My 12, 1998 1 1. Introduction Clculus of vritions is brnch

More information

CHAPTER 11 Numerical Differentiation and Integration

CHAPTER 11 Numerical Differentiation and Integration CHAPTER 11 Numericl Differentition nd Integrtion Differentition nd integrtion re bsic mthemticl opertions with wide rnge of pplictions in mny res of science. It is therefore importnt to hve good methods

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

Scalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra

Scalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra Sclr nd Vector Quntities : VECTO NLYSIS Vector lgebr sclr is quntit hving onl mgnitude (nd possibl phse). Emples: voltge, current, chrge, energ, temperture vector is quntit hving direction in ddition to

More information

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

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

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

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

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

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

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

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

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

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

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

Introduction to Integration Part 2: The Definite Integral

Introduction to Integration Part 2: The Definite Integral Mthemtics Lerning Centre Introduction to Integrtion Prt : The Definite Integrl Mr Brnes c 999 Universit of Sdne Contents Introduction. Objectives...... Finding Ares 3 Ares Under Curves 4 3. Wht is the

More information

RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS

RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS Known for over 500 yers is the fct tht the sum of the squres of the legs of right tringle equls the squre of the hypotenuse. Tht is +b c. A simple proof is

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

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

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

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

Helicopter Theme and Variations

Helicopter Theme and Variations Helicopter Theme nd Vritions Or, Some Experimentl Designs Employing Pper Helicopters Some possible explntory vribles re: Who drops the helicopter The length of the rotor bldes The height from which the

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

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

COMPONENTS: COMBINED LOADING

COMPONENTS: COMBINED LOADING LECTURE COMPONENTS: COMBINED LOADING Third Edition A. J. Clrk School of Engineering Deprtment of Civil nd Environmentl Engineering 24 Chpter 8.4 by Dr. Ibrhim A. Asskkf SPRING 2003 ENES 220 Mechnics of

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

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

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

Distributions. (corresponding to the cumulative distribution function for the discrete case).

Distributions. (corresponding to the cumulative distribution function for the discrete case). Distributions Recll tht n integrble function f : R [,] such tht R f()d = is clled probbility density function (pdf). The distribution function for the pdf is given by F() = (corresponding to the cumultive

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

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

DIFFERENTIATING UNDER THE INTEGRAL SIGN

DIFFERENTIATING UNDER THE INTEGRAL SIGN DIFFEENTIATING UNDE THE INTEGAL SIGN KEITH CONAD I hd lerned to do integrls by vrious methods shown in book tht my high school physics techer Mr. Bder hd given me. [It] showed how to differentite prmeters

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

The Riemann Integral. Chapter 1

The Riemann Integral. Chapter 1 Chpter The Riemnn Integrl now of some universities in Englnd where the Lebesgue integrl is tught in the first yer of mthemtics degree insted of the Riemnn integrl, but now of no universities in Englnd

More information

The invention of line integrals is motivated by solving problems in fluid flow, forces, electricity and magnetism.

The invention of line integrals is motivated by solving problems in fluid flow, forces, electricity and magnetism. Instrutor: Longfei Li Mth 43 Leture Notes 16. Line Integrls The invention of line integrls is motivted by solving problems in fluid flow, fores, eletriity nd mgnetism. Line Integrls of Funtion We n integrte

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

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

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

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

Real Analysis and Multivariable Calculus: Graduate Level Problems and Solutions. Igor Yanovsky

Real Analysis and Multivariable Calculus: Graduate Level Problems and Solutions. Igor Yanovsky Rel Anlysis nd Multivrible Clculus: Grdute Level Problems nd Solutions Igor Ynovsky 1 Rel Anlysis nd Multivrible Clculus Igor Ynovsky, 2005 2 Disclimer: This hndbook is intended to ssist grdute students

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

Numerical Methods of Approximating Definite Integrals

Numerical Methods of Approximating Definite Integrals 6 C H A P T E R Numericl Methods o Approimting Deinite Integrls 6. APPROXIMATING SUMS: L n, R n, T n, AND M n Introduction Not only cn we dierentite ll the bsic unctions we ve encountered, polynomils,

More information

DIFFERENTIAL FORMS AND INTEGRATION

DIFFERENTIAL FORMS AND INTEGRATION DIFFERENTIAL FORMS AND INTEGRATION TERENCE TAO The concept of integrtion is of course fundmentl in single-vrible clculus. Actully, there re three concepts of integrtion which pper in the subject: the indefinite

More information

ORBITAL MANEUVERS USING LOW-THRUST

ORBITAL MANEUVERS USING LOW-THRUST Proceedings of the 8th WSEAS Interntionl Conference on SIGNAL PROCESSING, ROBOICS nd AUOMAION ORBIAL MANEUVERS USING LOW-HRUS VIVIAN MARINS GOMES, ANONIO F. B. A. PRADO, HÉLIO KOII KUGA Ntionl Institute

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

v T R x m Version PREVIEW Practice 7 carroll (11108) 1

v T R x m Version PREVIEW Practice 7 carroll (11108) 1 Version PEVIEW Prctice 7 crroll (08) his print-out should he 5 questions. Multiple-choice questions y continue on the next colun or pge find ll choices before nswering. Atwood Mchine 05 00 0.0 points A

More information

CHAPTER 6 MAGNETIC EFFECT OF AN ELECTRIC CURRENT

CHAPTER 6 MAGNETIC EFFECT OF AN ELECTRIC CURRENT CHAPTER 6 MAGNETIC EFFECT OF AN ELECTRIC CURRENT 6. Introduction Most of us re fmilir with the more obvious properties of mgnets nd compss needles. A mgnet, often in the form of short iron br, will ttrct

More information

2 DIODE CLIPPING and CLAMPING CIRCUITS

2 DIODE CLIPPING and CLAMPING CIRCUITS 2 DIODE CLIPPING nd CLAMPING CIRCUITS 2.1 Ojectives Understnding the operting principle of diode clipping circuit Understnding the operting principle of clmping circuit Understnding the wveform chnge of

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

Or more simply put, when adding or subtracting quantities, their uncertainties add.

Or more simply put, when adding or subtracting quantities, their uncertainties add. Propgtion of Uncertint through Mthemticl Opertions Since the untit of interest in n eperiment is rrel otined mesuring tht untit directl, we must understnd how error propgtes when mthemticl opertions re

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

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

Physics 2102 Lecture 2. Physics 2102

Physics 2102 Lecture 2. Physics 2102 Physics 10 Jonthn Dowling Physics 10 Lecture Electric Fields Chrles-Augustin de Coulomb (1736-1806) Jnury 17, 07 Version: 1/17/07 Wht re we going to lern? A rod mp Electric chrge Electric force on other

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

Brillouin Zones. Physics 3P41 Chris Wiebe

Brillouin Zones. Physics 3P41 Chris Wiebe Brillouin Zones Physics 3P41 Chris Wiebe Direct spce to reciprocl spce * = 2 i j πδ ij Rel (direct) spce Reciprocl spce Note: The rel spce nd reciprocl spce vectors re not necessrily in the sme direction

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

10.6 Applications of Quadratic Equations

10.6 Applications of Quadratic Equations 10.6 Applictions of Qudrtic Equtions In this section we wnt to look t the pplictions tht qudrtic equtions nd functions hve in the rel world. There re severl stndrd types: problems where the formul is given,

More information