Fundamental Electromagnetics (Chapter 4: Vector Calculus)

Size: px
Start display at page:

Download "Fundamental Electromagnetics (Chapter 4: Vector Calculus)"

Transcription

1 Fundamental Electromagnetics (Chapter 4: Vector Calculus) Prof. Kwang-Chun Ho Tel: Fax:

2 Key Point Study differential elements in length, area, and volume useful in vector calculus. Consider concept of line, surface, and volume integrals including a vector. What is gradient ( :del) operator? Gradient of a scalar in Cartesian, cylindrical, and spherical systems. Mathematical and physical concepts of divergence of a vector and divergence theorem. Mathematical and physical concepts of curl of a vector and Stokes s theorem. Laplacian of a scalar and classification of vector fields. Dept. Electronics and Information Engineering

3 Differential Length, Area, and Volume Cartesian coordinates Differential displacement: if moving from P to Q, it is given by if moving from S to B, it is dl dxa dya dza x y z dl dya y a x a y a z a x a z a y dl ( Differential normal area ) ( Differential elements in Cartesian system ) Dept. Electronics and Information Engineering 3

4 Differential Length, Area, and Volume Differential normal area: The differential surface element ds may be defined as ds dsa n where ds is the area of surface element, and a n is a unit vector normal to the surface ds Convention for the positive direction of ds : Be directed away from the volume if it is a part of the surface describing a volume As examples, if considering surface ABCD, ds dydza x if considering surface PQRS, ds dydza x dv dxdydz Differential volume(scalar): Cylindrical coordinates Differential displacement: if moving from R to A, it is given by dl d a da dza z Dept. Electronics and Information Engineering 4

5 Differential Length, Area, and Volume Differential normal area: if considering surface ABPQ, ds ddza. Differential volume: dv d ddz a a z dl a ds ddza ds d dza ds dd a z a z a a ( Differential normal area ) ( Differential elements in cylindrical system ) Dept. Electronics and Information Engineering 5

6 Differential Length, Area, and Volume Example 4.1: h Determine the volume of object shown in figure. Since the differential volume in cylindrical system is dv d ddz, the object volume becomes a V a v= dv= rdr df dz pah = 4 p òòò ò ò ò h MatLab Script: % Perform 3D symbolic integration syms a h intr = int('r','r',0,a); intp = int(intr,'p',0,pi/); intz = int(intp,'z',0,h); Dept. Electronics and Information Engineering 6

7 Differential Length, Area, and Volume Spherical coordinates Differential displacement: if moving from A to B, it is given by dl dra rd a r sinda r ds rdrd r sin r dr dl A rd ds r sin drd B ds r sin dd r rsin d ( Differential elements in spherical system ) Dept. Electronics and Information Engineering 7

8 Differential Length, Area, and Volume Differential normal area: if considering surface ds r, ds r sin ddar dv r sin drdd Differential volume: a r a a ds r sin ddar ds r sin drda ds rdrd a ( Differential normal area ) Dept. Electronics and Information Engineering 8

9 Differential Length, Area, and Volume Example 4.: The figure may be described as 3r 5,60 90,45 60, where surface r 3 is the same as AEHD, surface 60 is AEFB, and surface 45 is ABCD Calculate (a) The distance DH (b) The distance FG (c) The surface area AEHD (d) The surface area ABCD (e) The volume of the object rd dr rsind Dept. Electronics and Information Engineering 9

10 Differential Length, Area, and Volume Solution: (a) (b) 60 p DH = ò r sin qdf = = f= p (c) AEHD = ò ò r sin qdfdq = = q= 60 f= 45 r= 3, q= 90 5p FG = ò rdq = = q= 60 r= 5 r= 3 MatLab Script: syms th inth = int('r^*sin(th)','th',pi/3,pi/); intp = int(inth,'p',pi/4,pi/3); intr = int(intp,'r',3,5); p (d) ABCD = ò ò rdqdr = = 3 r= 3 q= p (e) Volume = ò ò ò r sin qdqdfdr= = r= 3 f= 45 q= 60 Dept. Electronics and Information Engineering 10

11 Differential Length, Area, and Volume Example 4.3: Determine the volume and the surface of a solid sphere of radius R Solution: The volume is R p p 4 3 òòò òòò ò ò ò V = dv= r sin qdrdqdf= r dr sin qdq df= pr 3 The total surface area can be found by p p òò òò ò ò S = ds = r sin qdqdf = R sin qdq df= 4pR r= R 0 0 Dept. Electronics and Information Engineering 11

12 Vector Line Integrals Line integral involving a vector : Work: If you have taken a physics class, you have probably encountered the notion of work in mechanics M F F L If a constant force of F (in the direction of motion) is applied to move an object a distance L in a straight line, then the work exerted is Work [Joule] Force [Newton] Distance [Meter] =FL Dept. Electronics and Information Engineering 1

13 Vector Line Integrals Now, suppose that the there is an angle theta between directions, in which the constant force is applied and the direction of motion is constant M F L In this case, the work is given by Work = F L= FLcosq The above formulas for work assume that the object moves in a straight line and that the force and the angle between the direction of the force and the direction of motion are constant Dept. Electronics and Information Engineering 13

14 Vector Line Integrals Suppose that the object is moved along a curve C in the xy-plane, and the force is given by the vector field What is the work required to move the object? Whole work along this path can be treated as the addition of a sequence of Work due to infinitesimal displacement dl along C : dw = F cosqdl = F dl Thus, we have W = dw = F dl ò C If the path of integration is a closed path, the line integral becomes a closed contour integral: W = ò C ò C F dl F Dept. Electronics and Information Engineering 14

15 Vector Line Integrals F dl F cos Dept. Electronics and Information Engineering 15

16 Vector Line Integrals Example 4.4: L Given that F xaxxzay y az, calculate the circulation of F around the closed path Solution: The circulation around path is given by æ ö F dl = ò ç ò ò ò ò Fdl çè ø For segment 1, since y=0=z, F dl = x axdxax = x dx For segment, since x=0=z, Fdl =- y a dya = 0 z y Dept. Electronics and Information Engineering 16

17 Vector Line Integrals For segment 3, since x=z (dx=dz) and y=1, F dl= xa-xza - a dxa + dza = xdx-dz ( x y z) ( x z) For segment 4, since y=z, and x=1, F dl = a -za - y a dya + dza =-zdy-ydz ( x y z) ( y z) Thus, putting all these together, we have x dx + x - dx + -y - y dy =- 6 ò ò ( 1) ò ( ) Note: is always taken as along positive, and dl the direction is taken care of by the limits of integration. Dept. Electronics and Information Engineering 17

18 Vector Line Integrals Example 4.5: Calculate the circulation of around the edge L of the wedge defined by Solution: For line 1: 0,0 60, z 0 A cosa zsinaz For line : For line 3: Summing them up gives Line 3 Line Line 1 Dept. Electronics and Information Engineering 18

19 Vector Surface Integrals Surface integral: Suppose that the velocity of a fluid in 3D-space is described by the vector field F Let S be a surface in 3D-space Then, the volume of fluid crossing S per unit time is called as the total flux across S F Fa n a n a F n ds Dept. Electronics and Information Engineering 19

20 Vector Surface Integrals What is the formula for the flux? Consider a open surface S, dividing into vector elements of area ads n In one unit of time, a blob of fluid of length F will pass through the surface ds The blob may be in the shape of a parallelepiped The volume of this fluid is then Volume = F ads= FcosqdS Consequently, the total flux through the surface S is Y= Fa ds = FdS ò S n n This is an example for surface integral of a vector field! ò S Dept. Electronics and Information Engineering 0

21 Vector Surface Integrals For a closed surface (defining a volume), the surface integral (net outward flux of from S ) becomes Y=ò What is open or closed surface? A closed path define an open surface whereas a closed surface defines a volume S F F ds Positive direction: the outward direction from the volume a n a n (Closed surface) a n Positive direction: Apply right-hand rule to the perimeter of the open surface a n a n (Open surface) Dept. Electronics and Information Engineering 1

22 Vector Surface Integrals Example 4.6: z Determine the flux of G 10e a a z over the closed surface of the cylinder 1, 0 z 1 Solution: The total flux is Y= ò G ds =Y t +Y b+ys For t, z 1 and ds ddaz 1 p - Y = G ds = 10e rdrdf t ò t ( p) ò ò r= 0f= r - = 10e = 10pe 0 Dept. Electronics and Information Engineering

23 Vector Surface Integrals For, z 0 and ds dd b az 1 p 1-0 r Y b = ò G ds =- ò ò10e rdrdf=- 10( p) =-10p b r= 0f= 0 For, 1 and ds dzda s Y s = ò G ds = ò ò 10e r dzdf= 10 1 p = 10p 1-e - s 1 p -z 1 -z e - z= 0f= 0 Thus, the total flux through the top, bottom, and sides of the cylinder is t b s e e 0 () ( ) Dept. Electronics and Information Engineering 3

24 DEL Operator Del operator, written, is the vector differential operator In Cartesian coordinates, it is a a a x y z x y z In cylindrical coordinates, it is 1 a a a z z In spherical coordinates, it is 1 1 ar a a r r rsin The proof will be discussed later! Dept. Electronics and Information Engineering 4 D Alembertian operator:

25 Gradient of a Scalar Physical Meaning Conduction heat transfer The direction of heat transfer will be opposite to the temperature gradient since the net energy transfer will be from high temperature to low one. This direction of maximum heat transfer will be perpendicular to the equal-temperature surfaces surrounding a source of heat. Source Dept. Electronics and Information Engineering 5

26 Gradient of a Scalar Rain on the mountain Water running down the mountain will follow the streamlines. The streamlines are vectors. The steeper the gradient, the larger the vectors. Contours far apart Contours close together steeper Gradient Contours (Scalar Fields) Vector Fields flatter The gradient of a scalar field is a vector field! Side View Dept. Electronics and Information Engineering 6

27 Gradient of a Scalar Definition: Physical definition: The gradient of a scalar field is a vector field which points in the direction of the greatest rate of increase of the scalar field, and whose magnitude is the greatest rate of change. Mathematical definition: Can be obtained by evaluated the difference dv in the field between points P and on 1 P the contours V dl G (Depict the Gradient on contours) dl Dept. Electronics and Information Engineering 7

28 Gradient of a Scalar From differential calculus, the difference is dl V V V dv ( x, y, z) = dx + dy + dz x y z dn adn æ V V V ö a a a = + + dxa + dya + dza x y z ç è ø For convenience, let V V V G ax ay az x y z Then, dv = G dl dv = G( dl)cosq G cos dl ( ) x y z x y z n V1 V 1 V Notice that when dl dv dl is a maximumwhen 0 is in the direction of G a G n dv dv V V V G dl max dn x y z Dept. Electronics and Information Engineering 8

29 Gradient of a Scalar By definition, a n is the direction of gradient of a scalar field, which describes a unit vector normal to constant V scalar surface G is the magnitude of gradient Thus, dv grad V an ang V dn = Gradient V is a vector whose magnitude is equal to the maximum rate of change of the physical quantity per unit distance and whose direction is along the direction of maximum change. A good example is a mountain: The contour map of the terrain is the height coordinates of the given point V defined by the The gradient of at a point is a vector which presents the direction of the greatest rate of change The magnitude indicates how steep the slope is V Dept. Electronics and Information Engineering 9

30 Gradient of a Scalar dn 1 V1 V 1 V dn dn 1 (Slope 1 > Slope ) Thus, Gradient 1 > Gradient ( Gradients illustrated by vectors on contours ) dn V1 V 1 V Dept. Electronics and Information Engineering 30

31 Gradient of a Scalar Example 4.7: Calculate the angle between unit vectors normal to the surfaces xyz 3 and xln( z) y 4 at the point of intersection (-1,,1). Solution: Use a property of gradient: V at any point is perpendicular to the constant V surface that passes through that point Let f xyz3 and g xln( z) y 4 Since vectors normal to the surfaces are f xyax x ay az, x g ln( z) ax yay az z MatLab Script: syms x y z jacobian(x^*y+z-3,[x y z]) jacobian(x*log(z)-y^+4,[x y z]) Dept. Electronics and Information Engineering 31

32 Gradient of a Scalar the unit vectors at (-1,,1) become a nf f ( 4,1,1) g (0, 4, 1), ang f 18 g 17 Then, the angle between two unit vectors is given by -5 cos q= anf ang =, q= Dept. Electronics and Information Engineering 3

33 Gradient of a Scalar Example 4.8: Given xy yzxz : Find gradient at point (1,,3) Find the directional derivative of at the same point in the direction toward point (3,4,4) Solution: Since at point (1,,3) Using the unit vector a l of direction toward point (3,4,4) at point (1,,3), it becomes where the distance vector is The rate of change of in the direction of a l Dept. Electronics and Information Engineering 33

34 Visual EMT using MatLab Depict the gradient of the following scalar field x y V x, y xe The gradient is V V x y V a a e 1x a xya x y x y x y Run scalargrad.m Dept. Electronics and Information Engineering 34

35 Visual EMT using MatLab clear; % Clear variables v = -:0.:; [x,y] = meshgrid(v); % Create a grid of points z = x.* exp(-x.^ - y.^); [px,py] = gradient(z,.,.); % Compute gradient contour(x,y,z,10); % Draw contours hold on; quiver(x,y,px,py); % Plot vectors hold off; xlabel('x'); ylabel('y'); title('gradient of the scalar field: \nabla V'); [FX,FY] = GRADIENT(F,HX,HY), when F is -D, uses the spacing specified by HX and HY. HX and HY can either be scalars to specify the spacing between coordinates or vectors to specify the coordinates of the points. QUIVER(X,Y,U,V) plots velocity vectors as arrows with components (u,v) at the points (x,y). Dept. Electronics and Information Engineering 35

36 Divergence of a Vector What does the divergence mean physically? Measure how much the vector field diverges (or emanates) from a point P in a given region of space Measure the change rate of density in a given region of space F P div FP ( ) 0 ( P is a source) div FP ( ) 0 ( P is a sink) div FP ( ) 0 Dept. Electronics and Information Engineering 36

37 Divergence of a Vector As example, look at water flowing When the flow in equals the flow out as in a water pipe, then the divergence is zero There is no the change of density in a region of space lying entirely within the water! Next, consider the velocity of the air in a tire, which has just been punctured by a nail The density within a region of space changes because the air is expanding (indicating source) as the pressure drops Thus, the divergence is not zero (greater than zero)! By measuring the net flux of air passing through a surface surrounding the region of space, we can say how the density of the interior has changed Similarly, a negative divergence indicates a sink Dept. Electronics and Information Engineering 37

38 Divergence of a Vector Dept. Electronics and Information Engineering 38

39 Divergence of a Vector Definition: Physical definition: F Divergence of at a given point P is the outward of flux from a small closed surface per unit volume as the volume shrinks to zero Mathematical definition: div F v ò lim D v 0 F ds F F F = F = + + D v x y z S x y z where is the volume element enclosed by the closed surface S in which P is located Dept. Electronics and Information Engineering 39

40 Divergence of a Vector Transforming it into the other coordinates gives for cylindrical coordinates, and for spherical coordinates Example 4.9: 1 1 Ff Fz F = ( rfr ) + + r r r f z 1 1 é F ù f F = ( r Fr ) + ( Fq sin q) + r r rsin q ê q f ú ë û Suppose F xax yay zaz is the velocity field for an expanding air Determine the divergence of the velocity field Dept. Electronics and Information Engineering 40

41 Divergence of a Vector Solution: Since F = 3, the air is expanding at the rate of 3 cubic units per unit of volume Gauss Divergence theorem: Consider a source with volume V Total outward flux of a vector field F through the closed surface S is the same as the volume integral of the divergence of F F ds = F dv ò S ò v ( ) Gauss: German mathematician, lived Closed surface S Dept. Electronics and Information Engineering 41

42 Divergence of a Vector The contributions from the internal surfaces of adjacent elements cancel each other Because the flux of the adjacent elements are opposite directions Thus, the net contribution of volume integral of divergence is that of the external surface bounding the volume Example 4.10: z If Gr () 10e a a z, determine the flux of G out of the entire surface of the cylinder 1, 0 z 1 Solution: If is the flux of G through the given surface, then Dept. Electronics and Information Engineering 4

43 Divergence Theorem then Using the divergence theorem, it is Y= GdS = G dv= ò because G Y= ò G ds =Y +Y +Y ò v ( ) Gf G = ( rgr ) + + r r r f z 1 -z -z = ( 10e r ) + ( 10e ) = 0 r r z There is no the outflow of flux! z t b s Dept. Electronics and Information Engineering 43

44 Divergence Theorem Example 4.11: (a) Determine the flux of D cos a zsina over the closed surface of the cylinder 0 z 1, 4 (b) Verify the divergence theorem for this case Solution: (a) The flux is Since there is no z-component of D, and Dept. Electronics and Information Engineering 44

45 Divergence Theorem (b) Considering by the divergence theorem, we have Dept. Electronics and Information Engineering 45

46 Divergence Theorem Sketches of vector fields: (a): One very poor sketch (b) and (c): Two fair sketches (d): Usual form of flux-line sketch Arrows show the direction of the field, and spacing of the lines is inversely proportional to the strength of the field Dept. Electronics and Information Engineering 46

47 Visual EMT using MatLab Depict the divergence of the following vector field x P 1x ax xya y e The divergence is P x P y P= + = 4x( x + y -) e x y y ( x y ) - + Run vectordiv.m! Dept. Electronics and Information Engineering 47

48 Visual EMT using MatLab clear; x = -:.1:; y = -1:.1:1; [xx,yy] = meshgrid(x,y); px = (1-*xx.^).*exp(-xx.^-yy.^); py = -*xx.*yy.*exp(-xx.^-yy.^); div = divergence(x,y,px,py); % Compute divergence surf(x,y,div); % Plot 3D colored surface xlabel('x'); ylabel('y'); title('divergence of -D vector field: \nabla \cdot {\bf P}'); DIV = DIVERGENCE(X,Y,U,V) computes the divergence of a -D vector field U,V. The arrays X,Y define the coordinates for U,V. Dept. Electronics and Information Engineering 48

49 Curl of a Vector What does the curl mean physically? There are two kinds of sources: Flow source: causes a net outflow flux of a vector Vortex source: causes a net circulation of a vector An example is the phenomenon of water whirling down a sink drain! The velocity of water is a vector field The scalar circulation of a vector field around a closed path is defined as the line integral of the vector over the path a n Circulation of F around contour ò L Fdl S dl Dept. Electronics and Information Engineering 49

50 Curl of a Vector Measure of the scalar circulation of the vector : Use curl meter: Drop into vector field and imagine the torque generated on the meter ( curl meter ) Vortex source : Whirlpool, eddy, and flush toilet Spin fast in the middle Spin slower with translation It is a device to probe the field for studying the curl of the field. It responds to the circulation of the field. Dept. Electronics and Information Engineering 50

51 Curl of a Vector Constant velocity flow : Constant field has no curl, therefore the circulation is zero No curl! Variable velocity parallel flow : Curl! Physical definition: A vector whose magnitude is the maximum net circulation of per unit area as the area tends to zero and whose direction is the normal direction of the area when the area is oriented to make the net circulation maximum F Dept. Electronics and Information Engineering 51

52 Curl of a Vector Mathematical definition: curl æ ax ay az F dl ö ò F a ç lim = F = D S x y z L n DS0 ç çè ø max F F F x y z for Cartesian coordinate For cylindrical and spherical coordinates, it becomes F a a a 1 z F F F z z 1 F r sin r a ra rsina r F rf rsin F r Dept. Electronics and Information Engineering 5

53 Curl of a Vector Example 4.1: The water flows along a velocity V V sin in a 0 az a sluice box Determine the curl of the velocity vector Solution: ax ay az V x y z 0 0 Vz Vz V0 x ay cos a x a a (The curl varies with x position across sluice box) y z y a x z t 0 t t 0 x a x Dept. Electronics and Information Engineering 53

54 Stokes s Theorem Definition: The circulation of a vector field F around a closed path L is equal to the surface integral of F over the open surface S bounded by L Fdl = F ds ò L Proof: ò S ( ) Assume that the surface S is subdivided into a large number of cells If the j-th cell has surface area and is bounded by path C j Stokes: Irish mathematician, lived S j L C j Dept. Electronics and Information Engineering 54

55 Stokes s Theorem we have Adding the contributions of all the differential areas to the flux, it becomes lim å Example 4.13: æ ö ( F) D S = lim F dl å ò ç è j ø F ds = F dl j DSj0 j j DSj0 j C x G dl Given that G x ya ya, find ò (a) where L is shown in the figure L ò ( ) (b) where S is the area bounded by L S ò S ( ) D j = j ò C ( ) G ds F S Fdl y L ò j Dept. Electronics and Information Engineering 55

56 Stokes s Theorem Solution: (a) Consider æ ö G dl ò = ç ò + ò + ò Gdl L çè 1 3 ø (1) () For line (1), since y=x, dy=dx, and dl ds dl dxax dyay ò G dl = ò ( x - x) dx=- z (3) 4 L 0 For line (), since y= x+, dy= dx, anddl dxax dya 3 17 ò G dl = ò (- x + x - x+ ) dx= 1 L 1 For line (3), since y=0, and dl dxa x 0 G dl = x ydx = 0 ò L ò y= 0 y Dept. Electronics and Information Engineering 56

57 Stokes s Theorem Thus, putting all these together, we obtain ò G dl = = L (b) Since G x a, ds dxdy a, the integral becomes S ( ) ( ) x - x+ x z 1 x - x+ G ds = - - x dxdy = x dydx + x dydx ò òò òò ò ò z = ò x y dx + ò x y dx = + x (- x + ) dx = 4 ò 6 Dept. Electronics and Information Engineering 57

58 Stokes s Theorem Example 4.14: Use Stokes s theorem to confirm your result in Example 4.5 Solution: Since A cosa zsinaz Line 3 Line Line 1 using Stokes s theorem we have Dept. Electronics and Information Engineering 58

59 Stokes s Theorem A The line integral of around L is equal to the surface integral of A Thus, Stokes s theorem is verified! Some useful properties: Divergence of the curl of any vector field is zero: F = 0 Curl of the gradient of any scalar field vanishes: V 0 Dept. Electronics and Information Engineering 59

60 Visual EMT using MatLab Depict the curl of the following vector field The curl is x y P e a sin( xy) a x y P y e cos( xy) a z x y Run vectorcurl.m! Dept. Electronics and Information Engineering 60

61 Visual EMT using MatLab clear; x = -1:0.:1; y = -1:0.:1; [xx,yy] = meshgrid(x,y); px = exp(-(xx.^+yy.^)); py = sin(xx.*yy); curl_z = curl(x,y,px,py); % Compute curl [m,n] = size(curl_z); % Return the number of rows and columns curl_x = zeros(m,n); % Create an m-by-n matrix of zeros curl_y = zeros(m,n); quiver3(xx,yy,zeros(m,n),curl_x,curl_y,curl_z,'r'); pause; surf(x,y,curl_z); xlabel('x');ylabel('y'); zlabel(' \nabla \times {\bf P} '); title('magnitude of Curl of -D vector field: \nabla \times {\bf P} '); CURLZ = CURL(X,Y,U,V) computes the curl z component of a D vector field U,V. The arrays X,Y define the coordinates for U,V QUIVER3(X,Y,Z,U,V,W) plots the vectors as arrows with components (u,v,w) at the points (x,y,z). Dept. Electronics and Information Engineering 61

62 Laplacian of a Scalar Definition: Divergence of the gradient of any scalar field, i.e. V = V Thus, in Cartesian coordinates, Laplacian V is V V V x y z V In cylindrical coordinates, In spherical coordinates, Note: Laplacian of a scalar field is another scalar field. z 1 V 1 V V V r r r r sin r sin V sin V V r V Dept. Electronics and Information Engineering 6

63 Laplacian of a Scalar If Laplacian vanishes in any region, a scalar field V is said to be harmonic (it is of the form of sine or cosine) in a given region. That is, V 0 (Laplace s equation) Now, let s define the Laplacian of a vector A A = A - A where in Cartesian system the Laplacian becomes Example 4.15: Determine the Laplacian of the scalar field Solution: ( ) A Aa Aa Aa x x y y z z If U is contour, the Laplacian presents the change rate of slope! U x yxyz y x y z U x y xyz Dept. Electronics and Information Engineering 63

64 Laplacian of a Scalar Example 4.16: For a scalar field V, show that V 0 ; that is, the curl of the gradient of any scalar field vanishes. Solution: a a a x y z V x y z V / x V / y V / z V V V V V V ax ay az z y y z x z z x x y y x 0 Dept. Electronics and Information Engineering 64

65 Classification of Vector Fields All vector fields can be classified as A = ka x, A= kr, A = k r, A = k r + cr, A = 0, A = 3 k, A = 0, A = 3, c A = 0 A A = 0 A = k A= k A = 0 A A 0 A vector field is said to be solenoidal (or divergenceless) if A vector field is said to be irrotational (or potential) if An irrotational field is also known as a conservative(path independent) field such as gravitational field and electrostatic field Dept. Electronics and Information Engineering 65

66 Classification of Vector Fields Example 4.17: Show that B y zcos xz ax xay xcos xzaz is conservative, without computing any integrals Solution: If B is conservative, then B 0 must be satisfied. ax ay az B x y z y zcos xz x xcos xz 0a cos xzxzsin xzcos xzxzsin xz a (1 1) a 0 x y z Dept. Electronics and Information Engineering 66

67 Homework Assignments Problem 4.1: Given that, calculate r ds over the region s x xy s S y x,0 x1 Problem 4.: If H x y ax x zy ay 5yzaz evaluate H dl along the contour of figure L Problem 4.3: Find the gradient of the following scalar fields: (a) U 4xz 3yz z (b) T 5e sin at, /3,0 (c) H r cos cos ò ò (Problem 3.) Dept. Electronics and Information Engineering 67

68 Homework Assignments Problem 4.4: Find the divergence and curl of the following vectors (a) (b) Problem 4.5: A e a sin xya cos xza B z cosa zsin az xy x y z Given that F sina a, find F dl where L is the L contours in figures (Problem 3.5) ò Dept. Electronics and Information Engineering 68

69 Homework Assignments Problem 4.6: cos z (a) D ds Let D za a. Evaluate (b) ò Problem 4.7: S ò V D dv over the region defined by 5, 1 z 1,0 If the vector field is irrotational, determine, and 3 T xy z a 3x za 3xz ya x y z Dept. Electronics and Information Engineering 69

UNIT 1. INTRODUCTION

UNIT 1. INTRODUCTION UNIT 1. INTRODUCTION Objective: The aim of this chapter is to gain knowledge on Basics of electromagnetic fields Scalar and vector quantities, vector calculus Various co-ordinate systems namely Cartesian,

More information

Introduction to Vector Calculus (29) SOLVED EXAMPLES. (d) B. C A. (f) a unit vector perpendicular to both B. = ˆ 2k = = 8 = = 8

Introduction to Vector Calculus (29) SOLVED EXAMPLES. (d) B. C A. (f) a unit vector perpendicular to both B. = ˆ 2k = = 8 = = 8 Introduction to Vector Calculus (9) SOLVED EXAMPLES Q. If vector A i ˆ ˆj k, ˆ B i ˆ ˆj, C i ˆ 3j ˆ kˆ (a) A B (e) A B C (g) Solution: (b) A B (c) A. B C (d) B. C A then find (f) a unit vector perpendicular

More information

EELE 3331 Electromagnetic I Chapter 3. Vector Calculus. Islamic University of Gaza Electrical Engineering Department Dr.

EELE 3331 Electromagnetic I Chapter 3. Vector Calculus. Islamic University of Gaza Electrical Engineering Department Dr. EELE 3331 Electromagnetic I Chapter 3 Vector Calculus Islamic University of Gaza Electrical Engineering Department Dr. Talal Skaik 2012 1 Differential Length, Area, and Volume This chapter deals with integration

More information

3: Mathematics Review

3: Mathematics Review 3: Mathematics Review B. Rouben McMaster University Course EP 4D03/6D03 Nuclear Reactor Analysis (Reactor Physics) 015 Sept.-Dec. 015 September 1 Review of: Table of Contents Co-ordinate systems (Cartesian,

More information

Chapter 1. Vector Algebra and Vector Space

Chapter 1. Vector Algebra and Vector Space 1. Vector Algebra 1.1. Scalars and vectors Chapter 1. Vector Algebra and Vector Space The simplest kind of physical quantity is one that can be completely specified by its magnitude, a single number, together

More information

Vector Analysis. Electromagnetic Theory PHYS 401. Fall 2017

Vector Analysis. Electromagnetic Theory PHYS 401. Fall 2017 Vector Analysis Electromagnetic Theory PHYS 401 Fall 2017 1 Vector Analysis Vector analysis is a mathematical formalism with which EM concepts are most conveniently expressed and best comprehended. Many

More information

Maxwell s Equations in Differential Form, and Uniform Plane Waves in Free Space

Maxwell s Equations in Differential Form, and Uniform Plane Waves in Free Space C H A P T E R 3 Maxwell s Equations in Differential Form, and Uniform Plane Waves in Free Space In Chapter 2, we introduced Maxwell s equations in integral form. We learned that the quantities involved

More information

송석호 ( 물리학과 )

송석호 ( 물리학과 ) http://optics.hanyang.ac.kr/~shsong 송석호 ( 물리학과 ) Field and Wave Electromagnetics, David K. Cheng Reviews on (Week 1). Vector Analysis 3. tatic Electric Fields (Week ) 4. olution of Electrostatic Problems

More information

VECTOR CALCULUS. No man really becomes a fool until he stops asking questions.

VECTOR CALCULUS. No man really becomes a fool until he stops asking questions. Chapter 3 VECTOR CALCULUS No man really becomes a fool until he stops asking questions. CHARLES P. STEINMETZ 3.1 INTRODUCTION Chapter 1 is mainly on vector addition, subtraction, and multiplication in

More information

Differential Operators and the Divergence Theorem

Differential Operators and the Divergence Theorem 1 of 6 1/15/2007 6:31 PM Differential Operators and the Divergence Theorem One of the most important and useful mathematical constructs is the "del operator", usually denoted by the symbol Ñ (which is

More information

Lecture 10 Divergence, Gauss Law in Differential Form

Lecture 10 Divergence, Gauss Law in Differential Form Lecture 10 Divergence, Gauss Law in Differential Form ections: 3.4, 3.5, 3.6 Homework: ee homework file Properties of the Flux Integral: Recap flux is the net normal flow of the vector field F through

More information

Contents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Multiple Integrals 3. 2 Vector Fields 9

Contents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Multiple Integrals 3. 2 Vector Fields 9 MATH 32B-2 (8W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables Contents Multiple Integrals 3 2 Vector Fields 9 3 Line and Surface Integrals 5 4 The Classical Integral Theorems 9 MATH 32B-2 (8W)

More information

Chapter 2. Vector Analysis

Chapter 2. Vector Analysis Chapter 2. Vector nalysis Cheng; 3/4/2007; 2-2. verview t a given position and time a scalar function a magnitude, a vector function a magnitude and a direction Function conversion between different coordinates

More information

Multiple Integrals and Vector Calculus: Synopsis

Multiple Integrals and Vector Calculus: Synopsis Multiple Integrals and Vector Calculus: Synopsis Hilary Term 28: 14 lectures. Steve Rawlings. 1. Vectors - recap of basic principles. Things which are (and are not) vectors. Differentiation and integration

More information

PRACTICE PROBLEMS. Please let me know if you find any mistakes in the text so that i can fix them. 1. Mixed partial derivatives.

PRACTICE PROBLEMS. Please let me know if you find any mistakes in the text so that i can fix them. 1. Mixed partial derivatives. PRACTICE PROBLEMS Please let me know if you find any mistakes in the text so that i can fix them. 1.1. Let Show that f is C 1 and yet How is that possible? 1. Mixed partial derivatives f(x, y) = {xy x

More information

Vectors and Fields. Vectors versus scalars

Vectors and Fields. Vectors versus scalars C H A P T E R 1 Vectors and Fields Electromagnetics deals with the study of electric and magnetic fields. It is at once apparent that we need to familiarize ourselves with the concept of a field, and in

More information

52. The Del Operator: Divergence and Curl

52. The Del Operator: Divergence and Curl 52. The Del Operator: Divergence and Curl Let F(x, y, z) = M(x, y, z), N(x, y, z), P(x, y, z) be a vector field in R 3. The del operator is represented by the symbol, and is written = x, y, z, or = x,

More information

MATH 332: Vector Analysis Summer 2005 Homework

MATH 332: Vector Analysis Summer 2005 Homework MATH 332, (Vector Analysis), Summer 2005: Homework 1 Instructor: Ivan Avramidi MATH 332: Vector Analysis Summer 2005 Homework Set 1. (Scalar Product, Equation of a Plane, Vector Product) Sections: 1.9,

More information

1.1. Fields Partial derivatives

1.1. Fields Partial derivatives 1.1. Fields A field associates a physical quantity with a position A field can be also time dependent, for example. The simplest case is a scalar field, where given physical quantity can be described by

More information

Chapter 3 - Vector Calculus

Chapter 3 - Vector Calculus Chapter 3 - Vector Calculus Gradient in Cartesian coordinate system f ( x, y, z,...) dr ( dx, dy, dz,...) Then, f f f f,,,... x y z f f f df dx dy dz... f dr x y z df 0 (constant f contour) f dr 0 or f

More information

ENGI Partial Differentiation Page y f x

ENGI Partial Differentiation Page y f x ENGI 3424 4 Partial Differentiation Page 4-01 4. Partial Differentiation For functions of one variable, be found unambiguously by differentiation: y f x, the rate of change of the dependent variable can

More information

Electromagnetic Field Theory (EMT) Lecture # 7 Vector Calculus (Continued)

Electromagnetic Field Theory (EMT) Lecture # 7 Vector Calculus (Continued) Electromagnetic Field Theory (EMT) Lecture # 7 Vector Calculus (Continued) Topics to be Covered: Vector Calculus Differential Length, Area, and Volume Line, Surface, and Volume Integrals Del Operator Gradient

More information

The Divergence Theorem Stokes Theorem Applications of Vector Calculus. Calculus. Vector Calculus (III)

The Divergence Theorem Stokes Theorem Applications of Vector Calculus. Calculus. Vector Calculus (III) Calculus Vector Calculus (III) Outline 1 The Divergence Theorem 2 Stokes Theorem 3 Applications of Vector Calculus The Divergence Theorem (I) Recall that at the end of section 12.5, we had rewritten Green

More information

Vector Calculus, Maths II

Vector Calculus, Maths II Section A Vector Calculus, Maths II REVISION (VECTORS) 1. Position vector of a point P(x, y, z) is given as + y and its magnitude by 2. The scalar components of a vector are its direction ratios, and represent

More information

Multiple Integrals and Vector Calculus (Oxford Physics) Synopsis and Problem Sets; Hilary 2015

Multiple Integrals and Vector Calculus (Oxford Physics) Synopsis and Problem Sets; Hilary 2015 Multiple Integrals and Vector Calculus (Oxford Physics) Ramin Golestanian Synopsis and Problem Sets; Hilary 215 The outline of the material, which will be covered in 14 lectures, is as follows: 1. Introduction

More information

Topic 3. Integral calculus

Topic 3. Integral calculus Integral calculus Topic 3 Line, surface and volume integrals Fundamental theorems of calculus Fundamental theorems for gradients Fundamental theorems for divergences! Green s theorem Fundamental theorems

More information

G G. G. x = u cos v, y = f(u), z = u sin v. H. x = u + v, y = v, z = u v. 1 + g 2 x + g 2 y du dv

G G. G. x = u cos v, y = f(u), z = u sin v. H. x = u + v, y = v, z = u v. 1 + g 2 x + g 2 y du dv 1. Matching. Fill in the appropriate letter. 1. ds for a surface z = g(x, y) A. r u r v du dv 2. ds for a surface r(u, v) B. r u r v du dv 3. ds for any surface C. G x G z, G y G z, 1 4. Unit normal N

More information

F3k, namely, F F F (10.7.1) x y z

F3k, namely, F F F (10.7.1) x y z 10.7 Divergence theorem of Gauss riple integrals can be transformed into surface integrals over the boundary surface of a region in space and conversely. he transformation is done by the divergence theorem,

More information

LABORATORY MODULE. EKT 241/4 ELECTROMAGNETIC THEORY Semester 2 (2009/2010) EXPERIMENT # 2

LABORATORY MODULE. EKT 241/4 ELECTROMAGNETIC THEORY Semester 2 (2009/2010) EXPERIMENT # 2 LABORATORY MODULE EKT 241/4 ELECTROMAGNETIC THEORY Semester 2 (2009/2010) EXPERIMENT # 2 Vector Analysis: Gradient And Divergence Of A Scalar And Vector Field NAME MATRIK # signature DATE PROGRAMME GROUP

More information

Lecture 2: Review of Vector Calculus

Lecture 2: Review of Vector Calculus 1 Lecture 2: Review of Vector Calculus Instructor: Dr. Gleb V. Tcheslavski Contact: gleb@ee.lamar.edu Office Hours: Room 2030 Class web site: www.ee.lamar.edu/gleb/em/in dex.htm 2 Vector norm Foran n-dimensional

More information

Practice problems **********************************************************

Practice problems ********************************************************** Practice problems I will not test spherical and cylindrical coordinates explicitly but these two coordinates can be used in the problems when you evaluate triple integrals. 1. Set up the integral without

More information

송석호 ( 물리학과 )

송석호 ( 물리학과 ) http://optics.hanyang.ac.kr/~shsong 송석호 ( 물리학과 ) Introduction to Electrodynamics, David J. Griffiths Review: 1. Vector analysis 2. Electrostatics 3. Special techniques 4. Electric fields in mater 5. Magnetostatics

More information

Lecture 04. Curl and Divergence

Lecture 04. Curl and Divergence Lecture 04 Curl and Divergence UCF Curl of Vector Field (1) F c d l F C Curl (or rotor) of a vector field a n curlf F d l lim c s s 0 F s a n C a n : normal direction of s follow right-hand rule UCF Curl

More information

Unit-1 Electrostatics-1

Unit-1 Electrostatics-1 1. Describe about Co-ordinate Systems. Co-ordinate Systems Unit-1 Electrostatics-1 In order to describe the spatial variations of the quantities, we require using appropriate coordinate system. A point

More information

Created by T. Madas VECTOR OPERATORS. Created by T. Madas

Created by T. Madas VECTOR OPERATORS. Created by T. Madas VECTOR OPERATORS GRADIENT gradϕ ϕ Question 1 A surface S is given by the Cartesian equation x 2 2 + y = 25. a) Draw a sketch of S, and describe it geometrically. b) Determine an equation of the tangent

More information

A Brief Revision of Vector Calculus and Maxwell s Equations

A Brief Revision of Vector Calculus and Maxwell s Equations A Brief Revision of Vector Calculus and Maxwell s Equations Debapratim Ghosh Electronic Systems Group Department of Electrical Engineering Indian Institute of Technology Bombay e-mail: dghosh@ee.iitb.ac.in

More information

6 Div, grad curl and all that

6 Div, grad curl and all that 6 Div, grad curl and all that 6.1 Fundamental theorems for gradient, divergence, and curl Figure 1: Fundamental theorem of calculus relates df/dx over[a, b] and f(a), f(b). You will recall the fundamental

More information

MAXWELL S DIFFERENTIAL LAWS IN FREE SPACE

MAXWELL S DIFFERENTIAL LAWS IN FREE SPACE MAXWELL S DIFFERENTIAL LAWS IN FREE SPACE.0 INTRODUCTION Maxwell s integral laws encompass the laws of electrical circuits. The transition from fields to circuits is made by associating the relevant volumes,

More information

Math Review for Exam 3

Math Review for Exam 3 1. ompute oln: (8x + 36xy)ds = Math 235 - Review for Exam 3 (8x + 36xy)ds, where c(t) = (t, t 2, t 3 ) on the interval t 1. 1 (8t + 36t 3 ) 1 + 4t 2 + 9t 4 dt = 2 3 (1 + 4t2 + 9t 4 ) 3 2 1 = 2 3 ((14)

More information

Introduction and Vectors Lecture 1

Introduction and Vectors Lecture 1 1 Introduction Introduction and Vectors Lecture 1 This is a course on classical Electromagnetism. It is the foundation for more advanced courses in modern physics. All physics of the modern era, from quantum

More information

APPENDIX 2.1 LINE AND SURFACE INTEGRALS

APPENDIX 2.1 LINE AND SURFACE INTEGRALS 2 APPENDIX 2. LINE AND URFACE INTEGRAL Consider a path connecting points (a) and (b) as shown in Fig. A.2.. Assume that a vector field A(r) exists in the space in which the path is situated. Then the line

More information

EE2007: Engineering Mathematics II Vector Calculus

EE2007: Engineering Mathematics II Vector Calculus EE2007: Engineering Mathematics II Vector Calculus Ling KV School of EEE, NTU ekvling@ntu.edu.sg Rm: S2-B2b-22 Ver 1.1: Ling KV, October 22, 2006 Ver 1.0: Ling KV, Jul 2005 EE2007/Ling KV/Aug 2006 EE2007:

More information

In this section, mathematical description of the motion of fluid elements moving in a flow field is

In this section, mathematical description of the motion of fluid elements moving in a flow field is Jun. 05, 015 Chapter 6. Differential Analysis of Fluid Flow 6.1 Fluid Element Kinematics In this section, mathematical description of the motion of fluid elements moving in a flow field is given. A small

More information

Practice problems ********************************************************** 1. Divergence, curl

Practice problems ********************************************************** 1. Divergence, curl Practice problems 1. Set up the integral without evaluation. The volume inside (x 1) 2 + y 2 + z 2 = 1, below z = 3r but above z = r. This problem is very tricky in cylindrical or Cartesian since we must

More information

Fundamental Electromagnetics [ Chapter 2: Vector Algebra ]

Fundamental Electromagnetics [ Chapter 2: Vector Algebra ] Fundamental Electromagnetics [ Chapter 2: Vector Algebra ] Prof. Kwang-Chun Ho kwangho@hansung.ac.kr Tel: 02-760-4253 Fax:02-6919-2160 1 Key Points Basic concept of scalars and vectors What is unit vector?

More information

Notes 19 Gradient and Laplacian

Notes 19 Gradient and Laplacian ECE 3318 Applied Electricity and Magnetism Spring 218 Prof. David R. Jackson Dept. of ECE Notes 19 Gradient and Laplacian 1 Gradient Φ ( x, y, z) =scalar function Φ Φ Φ grad Φ xˆ + yˆ + zˆ x y z We can

More information

Chapter Given three points, A(4, 3, 2), B( 2, 0, 5), and C(7, 2, 1): a) Specify the vector A extending from the origin to the point A.

Chapter Given three points, A(4, 3, 2), B( 2, 0, 5), and C(7, 2, 1): a) Specify the vector A extending from the origin to the point A. Chapter 1 1.1. Given the vectors M = 1a x +4a y 8a z and N =8a x +7a y a z, find: a) a unit vector in the direction of M +N. M +N =1a x 4a y +8a z +16a x +14a y 4a z = (6, 1, 4) Thus (6, 1, 4) a = =(.9,.6,.14)

More information

EEE161 Applied Electromagnetics Laboratory 3

EEE161 Applied Electromagnetics Laboratory 3 Dr. Milica Marković Applied Electromagnetics Laboratory page 1 EEE161 Applied Electromagnetics Laboratory 3 Instructor: Dr. Milica Marković Office: Riverside Hall 3028 Email: milica@csus.edu Web:http://gaia.ecs.csus.edu/

More information

free space (vacuum) permittivity [ F/m]

free space (vacuum) permittivity [ F/m] Electrostatic Fields Electrostatic fields are static (time-invariant) electric fields produced by static (stationary) charge distributions. The mathematical definition of the electrostatic field is derived

More information

Main Results of Vector Analysis

Main Results of Vector Analysis Main Results of ector Analysis Andreas Wacker Mathematical Physics, Lund University January 5, 26 Repetition: ector Space Consider a d dimensional real vector space with scalar product or inner product

More information

Fundamental Electromagnetics ( Chapter 2: Vector Algebra )

Fundamental Electromagnetics ( Chapter 2: Vector Algebra ) Fundamental Electromagnetics ( Chapter 2: Vector Algebra ) Prof. Kwang-Chun Ho kwangho@hansung.ac.kr Tel: 02-760-4253 Fax:02-6919-2160 1 Key Points Basic concept of scalars and vectors What is unit vector?

More information

Idz[3a y a x ] H b = c. Find H if both filaments are present:this will be just the sum of the results of parts a and

Idz[3a y a x ] H b = c. Find H if both filaments are present:this will be just the sum of the results of parts a and Chapter 8 Odd-Numbered 8.1a. Find H in cartesian components at P (, 3, 4) if there is a current filament on the z axis carrying 8mAinthea z direction: Applying the Biot-Savart Law, we obtain H a = IdL

More information

is a surface above the xy-plane over R.

is a surface above the xy-plane over R. Chapter 13 Multiple Integration Section 13.1Double Integrals over ectangular egions ecall the Definite Integral from Chapter 5 b a n * lim i f x dx f x x n i 1 b If f x 0 then f xdx is the area under the

More information

Getting started: CFD notation

Getting started: CFD notation PDE of p-th order Getting started: CFD notation f ( u,x, t, u x 1,..., u x n, u, 2 u x 1 x 2,..., p u p ) = 0 scalar unknowns u = u(x, t), x R n, t R, n = 1,2,3 vector unknowns v = v(x, t), v R m, m =

More information

ENGI Gradient, Divergence, Curl Page 5.01

ENGI Gradient, Divergence, Curl Page 5.01 ENGI 94 5. - Gradient, Divergence, Curl Page 5. 5. The Gradient Operator A brief review is provided here for the gradient operator in both Cartesian and orthogonal non-cartesian coordinate systems. Sections

More information

Practice problems. 1. Evaluate the double or iterated integrals: First: change the order of integration; Second: polar.

Practice problems. 1. Evaluate the double or iterated integrals: First: change the order of integration; Second: polar. Practice problems 1. Evaluate the double or iterated integrals: R x 3 + 1dA where R = {(x, y) : 0 y 1, y x 1}. 1/ 1 y 0 3y sin(x + y )dxdy First: change the order of integration; Second: polar.. Consider

More information

Practice problems. m zδdv. In our case, we can cancel δ and have z =

Practice problems. m zδdv. In our case, we can cancel δ and have z = Practice problems 1. Consider a right circular cone of uniform density. The height is H. Let s say the distance of the centroid to the base is d. What is the value d/h? We can create a coordinate system

More information

Elements of Vector Calculus : Line and Surface Integrals

Elements of Vector Calculus : Line and Surface Integrals Elements of Vector Calculus : Line and Surface Integrals Lecture 2: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay In this lecture we will talk about special functions

More information

18.02 Multivariable Calculus Fall 2007

18.02 Multivariable Calculus Fall 2007 MIT OpenCourseWare http://ocw.mit.edu 18.02 Multivariable Calculus Fall 2007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. V9. Surface Integrals Surface

More information

Review Sheet for the Final

Review Sheet for the Final Review Sheet for the Final Math 6-4 4 These problems are provided to help you study. The presence of a problem on this handout does not imply that there will be a similar problem on the test. And the absence

More information

Notes 3 Review of Vector Calculus

Notes 3 Review of Vector Calculus ECE 3317 Applied Electromagnetic Waves Prof. David R. Jackson Fall 2018 A ˆ Notes 3 Review of Vector Calculus y ya ˆ y x xa V = x y ˆ x Adapted from notes by Prof. Stuart A. Long 1 Overview Here we present

More information

Review of Vector Analysis in Cartesian Coordinates

Review of Vector Analysis in Cartesian Coordinates Review of Vector Analysis in Cartesian Coordinates 1 Scalar: A quantity that has magnitude, but no direction. Examples are mass, temperature, pressure, time, distance, and real numbers. Scalars are usually

More information

Problem Solving 1: Line Integrals and Surface Integrals

Problem Solving 1: Line Integrals and Surface Integrals A. Line Integrals MASSACHUSETTS INSTITUTE OF TECHNOLOY Department of Physics Problem Solving 1: Line Integrals and Surface Integrals The line integral of a scalar function f ( xyz),, along a path C is

More information

Electrodynamics and Microwaves 3. Gradient, Curl and Divergence

Electrodynamics and Microwaves 3. Gradient, Curl and Divergence 1 Module 3 Gradient, Divergence and Curl 1. Introduction 2. The operators & 2 3. Gradient 4. Divergence 5. Curl 6. Mathematical expressions for gradient, divergence and curl in different coordinate systems.

More information

Prof. Kwang-Chun Ho.

Prof. Kwang-Chun Ho. Electromagnetic Field Theory [Chapter 4: Electrostatic Fields] Prof. Kwang-Chun Ho kwangho@hansung.ac.kr Tel: 02-760-4253 Fax:02-760-4435 Outline What is electrostatics? Coulomb s law and electric field

More information

Jim Lambers MAT 280 Summer Semester Practice Final Exam Solution. dy + xz dz = x(t)y(t) dt. t 3 (4t 3 ) + e t2 (2t) + t 7 (3t 2 ) dt

Jim Lambers MAT 280 Summer Semester Practice Final Exam Solution. dy + xz dz = x(t)y(t) dt. t 3 (4t 3 ) + e t2 (2t) + t 7 (3t 2 ) dt Jim Lambers MAT 28 ummer emester 212-1 Practice Final Exam olution 1. Evaluate the line integral xy dx + e y dy + xz dz, where is given by r(t) t 4, t 2, t, t 1. olution From r (t) 4t, 2t, t 2, we obtain

More information

Mathematical Notes for E&M Gradient, Divergence, and Curl

Mathematical Notes for E&M Gradient, Divergence, and Curl Mathematical Notes for E&M Gradient, Divergence, and Curl In these notes I explain the differential operators gradient, divergence, and curl (also known as rotor), the relations between them, the integral

More information

example consider flow of water in a pipe. At each point in the pipe, the water molecule has a velocity

example consider flow of water in a pipe. At each point in the pipe, the water molecule has a velocity Module 1: A Crash Course in Vectors Lecture 1: Scalar and Vector Fields Objectives In this lecture you will learn the following Learn about the concept of field Know the difference between a scalar field

More information

Problem Solving 1: The Mathematics of 8.02 Part I. Coordinate Systems

Problem Solving 1: The Mathematics of 8.02 Part I. Coordinate Systems Problem Solving 1: The Mathematics of 8.02 Part I. Coordinate Systems In 8.02 we regularly use three different coordinate systems: rectangular (Cartesian), cylindrical and spherical. In order to become

More information

MIDTERM EXAMINATION. Spring MTH301- Calculus II (Session - 3)

MIDTERM EXAMINATION. Spring MTH301- Calculus II (Session - 3) ASSALAM O ALAIKUM All Dear fellows ALL IN ONE MTH3 Calculus II Midterm solved papers Created BY Ali Shah From Sahiwal BSCS th semester alaoudin.bukhari@gmail.com Remember me in your prayers MIDTERM EXAMINATION

More information

ENGI 4430 Gauss & Stokes Theorems; Potentials Page 10.01

ENGI 4430 Gauss & Stokes Theorems; Potentials Page 10.01 ENGI 443 Gauss & tokes heorems; Potentials Page.. Gauss Divergence heorem Let be a piecewise-smooth closed surface enclosing a volume in vector field. hen the net flux of F out of is F d F d, N 3 and let

More information

(a) The points (3, 1, 2) and ( 1, 3, 4) are the endpoints of a diameter of a sphere.

(a) The points (3, 1, 2) and ( 1, 3, 4) are the endpoints of a diameter of a sphere. MATH 4 FINAL EXAM REVIEW QUESTIONS Problem. a) The points,, ) and,, 4) are the endpoints of a diameter of a sphere. i) Determine the center and radius of the sphere. ii) Find an equation for the sphere.

More information

Math 31CH - Spring Final Exam

Math 31CH - Spring Final Exam Math 3H - Spring 24 - Final Exam Problem. The parabolic cylinder y = x 2 (aligned along the z-axis) is cut by the planes y =, z = and z = y. Find the volume of the solid thus obtained. Solution:We calculate

More information

Haus, Hermann A., and James R. Melcher. Electromagnetic Fields and Energy. Englewood Cliffs, NJ: Prentice-Hall, ISBN:

Haus, Hermann A., and James R. Melcher. Electromagnetic Fields and Energy. Englewood Cliffs, NJ: Prentice-Hall, ISBN: MIT OpenCourseWare http://ocw.mit.edu Haus, Hermann A., and James R. Melcher. Electromagnetic Fields and Energy. Englewood Cliffs, NJ: Prentice-Hall, 989. ISBN: 978032490207. Please use the following citation

More information

7a3 2. (c) πa 3 (d) πa 3 (e) πa3

7a3 2. (c) πa 3 (d) πa 3 (e) πa3 1.(6pts) Find the integral x, y, z d S where H is the part of the upper hemisphere of H x 2 + y 2 + z 2 = a 2 above the plane z = a and the normal points up. ( 2 π ) Useful Facts: cos = 1 and ds = ±a sin

More information

Maxwell s Equations in Differential Form

Maxwell s Equations in Differential Form Maxwell s Equations in Differential Form CHAPTER 3 In Chapter 2 we introduced Maxwell s equations in integral form. We learned that the quantities involved in the formulation of these equations are the

More information

Math 212-Lecture 20. P dx + Qdy = (Q x P y )da. C

Math 212-Lecture 20. P dx + Qdy = (Q x P y )da. C 15. Green s theorem Math 212-Lecture 2 A simple closed curve in plane is one curve, r(t) : t [a, b] such that r(a) = r(b), and there are no other intersections. The positive orientation is counterclockwise.

More information

HOMEWORK 8 SOLUTIONS

HOMEWORK 8 SOLUTIONS HOMEWOK 8 OLUTION. Let and φ = xdy dz + ydz dx + zdx dy. let be the disk at height given by: : x + y, z =, let X be the region in 3 bounded by the cone and the disk. We orient X via dx dy dz, then by definition

More information

2-5 The Calculus of Scalar and Vector Fields (pp.33-55)

2-5 The Calculus of Scalar and Vector Fields (pp.33-55) 9/1/ sec _5 empty.doc 1/9-5 The Calculus of Scalar and Vector Fields (pp.33-55) Q: A: 1... 5. 3. 6. A. The Integration of Scalar and Vector Fields 1. The Line Integral 9/1/ sec _5 empty.doc /9 Q1: A C

More information

(You may need to make a sin / cos-type trigonometric substitution.) Solution.

(You may need to make a sin / cos-type trigonometric substitution.) Solution. MTHE 7 Problem Set Solutions. As a reminder, a torus with radii a and b is the surface of revolution of the circle (x b) + z = a in the xz-plane about the z-axis (a and b are positive real numbers, with

More information

MATH H53 : Final exam

MATH H53 : Final exam MATH H53 : Final exam 11 May, 18 Name: You have 18 minutes to answer the questions. Use of calculators or any electronic items is not permitted. Answer the questions in the space provided. If you run out

More information

UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH

UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH College of Informatics and Electronics END OF SEMESTER ASSESSMENT PAPER MODULE CODE: MS4613 SEMESTER: Autumn 2002/03 MODULE TITLE: Vector Analysis DURATION OF EXAMINATION:

More information

SOLUTIONS TO THE FINAL EXAM. December 14, 2010, 9:00am-12:00 (3 hours)

SOLUTIONS TO THE FINAL EXAM. December 14, 2010, 9:00am-12:00 (3 hours) SOLUTIONS TO THE 18.02 FINAL EXAM BJORN POONEN December 14, 2010, 9:00am-12:00 (3 hours) 1) For each of (a)-(e) below: If the statement is true, write TRUE. If the statement is false, write FALSE. (Please

More information

Vectors and Vector Fields

Vectors and Vector Fields Vectors and Vector Fields 223 A Vectors and Vector Fields A.1 Introduction This Appendix outlines those aspects of vector algebra, vector calculus, and vector field theory that are helpful in the study

More information

Section 4.3 Vector Fields

Section 4.3 Vector Fields Section 4.3 Vector Fields DEFINITION: A vector field in R n is a map F : A R n R n that assigns to each point x in its domain A a vector F(x). If n = 2, F is called a vector field in the plane, and if

More information

ENGI 4430 Line Integrals; Green s Theorem Page 8.01

ENGI 4430 Line Integrals; Green s Theorem Page 8.01 ENGI 4430 Line Integrals; Green s Theorem Page 8.01 8. Line Integrals Two applications of line integrals are treated here: the evaluation of work done on a particle as it travels along a curve in the presence

More information

Chapter 1. Vector Analysis

Chapter 1. Vector Analysis Chapter 1. Vector Analysis Hayt; 8/31/2009; 1-1 1.1 Scalars and Vectors Scalar : Vector: A quantity represented by a single real number Distance, time, temperature, voltage, etc Magnitude and direction

More information

f dr. (6.1) f(x i, y i, z i ) r i. (6.2) N i=1

f dr. (6.1) f(x i, y i, z i ) r i. (6.2) N i=1 hapter 6 Integrals In this chapter we will look at integrals in more detail. We will look at integrals along a curve, and multi-dimensional integrals in 2 or more dimensions. In physics we use these integrals

More information

is the ith variable and a i is the unit vector associated with the ith variable. h i

is the ith variable and a i is the unit vector associated with the ith variable. h i . Chapter 10 Vector Calculus Features Used right( ), product( ),./,.*, listúmat( ), mod( ), For...EndFor, norm( ), unitv( ),

More information

29.3. Integral Vector Theorems. Introduction. Prerequisites. Learning Outcomes

29.3. Integral Vector Theorems. Introduction. Prerequisites. Learning Outcomes Integral ector Theorems 9. Introduction arious theorems exist relating integrals involving vectors. Those involving line, surface and volume integrals are introduced here. They are the multivariable calculus

More information

CHAPTER 7 DIV, GRAD, AND CURL

CHAPTER 7 DIV, GRAD, AND CURL CHAPTER 7 DIV, GRAD, AND CURL 1 The operator and the gradient: Recall that the gradient of a differentiable scalar field ϕ on an open set D in R n is given by the formula: (1 ϕ = ( ϕ, ϕ,, ϕ x 1 x 2 x n

More information

AE/ME 339. Computational Fluid Dynamics (CFD) K. M. Isaac. Momentum equation. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.

AE/ME 339. Computational Fluid Dynamics (CFD) K. M. Isaac. Momentum equation. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept. AE/ME 339 Computational Fluid Dynamics (CFD) 9//005 Topic7_NS_ F0 1 Momentum equation 9//005 Topic7_NS_ F0 1 Consider the moving fluid element model shown in Figure.b Basis is Newton s nd Law which says

More information

Vectors Coordinate Systems VC - Differential Elements VC - Differential Operators Important Theorems Summary Problems.

Vectors Coordinate Systems VC - Differential Elements VC - Differential Operators Important Theorems Summary Problems. S. R. Zinka zinka@vit.ac.in School of Electronics Engineering Vellore Institute of Technology July 16, 2013 Outline 1 Vectors 2 Coordinate Systems 3 VC - Differential Elements 4 VC - Differential Operators

More information

F11AE1 1. C = ρν r r. r u z r

F11AE1 1. C = ρν r r. r u z r F11AE1 1 Question 1 20 Marks) Consider an infinite horizontal pipe with circular cross-section of radius a, whose centre line is aligned along the z-axis; see Figure 1. Assume no-slip boundary conditions

More information

UL XM522 Mutivariable Integral Calculus

UL XM522 Mutivariable Integral Calculus 1 UL XM522 Mutivariable Integral Calculus Instructor: Margarita Kanarsky 2 3 Vector fields: Examples: inverse-square fields the vector field for the gravitational force 4 The Gradient Field: 5 The Divergence

More information

Laplace equation in polar coordinates

Laplace equation in polar coordinates Laplace equation in polar coordinates The Laplace equation is given by 2 F 2 + 2 F 2 = 0 We have x = r cos θ, y = r sin θ, and also r 2 = x 2 + y 2, tan θ = y/x We have for the partials with respect to

More information

Lecture 3: Vectors. Any set of numbers that transform under a rotation the same way that a point in space does is called a vector.

Lecture 3: Vectors. Any set of numbers that transform under a rotation the same way that a point in space does is called a vector. Lecture 3: Vectors Any set of numbers that transform under a rotation the same way that a point in space does is called a vector i.e., A = λ A i ij j j In earlier courses, you may have learned that a vector

More information

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t) IV. DIFFERENTIAL RELATIONS FOR A FLUID PARTICLE This chapter presents the development and application of the basic differential equations of fluid motion. Simplifications in the general equations and common

More information

Before seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem!

Before seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem! 16.10 Summary and Applications Before seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem! Green s, Stokes, and the Divergence

More information

9.7 Gradient of a Scalar Field. Directional Derivative. Mean Value Theorem. Special Cases

9.7 Gradient of a Scalar Field. Directional Derivative. Mean Value Theorem. Special Cases SEC. 9.7 Gradient of a Scalar Field. Directional Derivative 395 Mean Value Theorems THEOREM Mean Value Theorem Let f(x, y, z) be continuous and have continuous first partial derivatives in a domain D in

More information