= x i+ y j+ k, (1) k. (2) y. curlf = F. (3)

Size: px
Start display at page:

Download "= x i+ y j+ k, (1) k. (2) y. curlf = F. (3)"

Transcription

1 Lecture 14 url of a vector field Let us now take the vector product of the 3D del operator, = x i+ y j+ k, (1) z with a vector field F in R 3 : F = = = ( x i+ y i+ ) z k (F 1 i+f 2 j+f 3 k) i j k x y z F 1 F 2 F 3 ( F3 y F ) ( 2 F1 i+ z z F ) ( 3 F2 j+ x x F ) 1 k. (2) y This is known as the curl of the vector field F. In some books, it is also written as curl F, i.e., curlf = F. (3) It is a vector quantity, as should be the case when the vector product of two vectors is taken. Note that we can also define the curl of vector fields in R 2 by setting F 3 = 0. A curl for two-dimensional vector fields may also be defined according to the above formula. In this case, the vector fields will assume the form, F(x,y) = F 1 (x,y)i+f 2 (x,y)j. (4) We may still use Eq. (2) to compute the curl of F. Since F 3 = 0 and F 1 and F 2 have no z-dependence, the i and j components of F in Eq. (2) vanish to give ( F2 F = x F ) 1 k. (5) y Note that in this special case of planar vector fields, the vector F points in the z-direction (either plus or minus). This will be important in our further discussion of Green s Theorem in the plane. 1

2 Finally, the curl of a vector field F : R n R n can be defined for higher dimensions, i.e., n > 3, using concepts from differential geometry. (It would be the differential of a 1-form.) We shall also be discussing the physical significance of the curl of a vector field very shortly. Examples: 1. = 0 for any constant vector (x,y,z) = 1 i+ 2 bfj + 3 k. 2. If F = r = xi+yj+zk, then F 1 = x, F 2 = y and F 3 = z so that r = = x y x y ( z y y z i j k 3. Now consider F = yi+xj+0k. Then F = = i j k x y z y x 0 ( 0 y x z ) i+ z z ) i+ ( ( y) ( x z z ) ( y j+ x x x ) k = 0. y z 0 ) ( x j+ x x ( y) ) k = 2k. y We have already encountered this vector field. A view from the positive z-axis looking down onto the xy-plane is shown below. A top view of the vector field F = yi+xj+0k 2

3 In the xy-plane, it can represent the velocity field of a rotating disk in this case, angular frequency ω = 1. The above vector field could represent the velocity field of a rotating cylinder. Note that curl F = 2k at all points in the plane, not just at the origin, where the axis of rotation is situated. This implies that the vector field is rotational at all points in the plane. We ll return to this idea later in the course. 4. Once again recall the importance of the class of vector fields F(r) = K r3r in physics. When K = GMm, we have the gravitational force exerted on a mass m at r by a point mass M at the origin of a coordinate system. Whe K = Qq/(4πǫ 0 ), we have the electrostatic force exerted on a charge q at r due to a point mass Q at the origin. For convenience, we shall omit the multiplicative factor K. Let us first express this field in terms of artesian coordinates: F(r) = 1 r 3r = 1 (x 2 +y 2 +z 2 ) 3/2[xi+yj+zk], (6) F = i j k x y z x y z (x 2 +y 2 +z 2 ) 3/2 (x 2 +y 2 +z 2 ) 3/2 (x 2 +y 2 +z 2 ) 3/2 We ll leave this as an exercise for the reader! (It s actually not that tedious.) The net result is (7) Gradient fields/conservative forces and the curl Let us now return to the definition of the curl of a vector field F F = = = 1 r3r = 0, (x,y,z) (0,0,0). (8) ( x i+ y i+ ) z k (F 1 i+f 2 j+f 3 k) i j k x y z F 1 F 2 F 3 ( F3 y F ) ( 2 F1 i+ z z F ) ( 3 F2 j+ x x F ) 1 k. (9) y Let us also review the conditions that had to be satisfied for a 1 vector field F to be a gradient or conservative vector field, i.e., that F = f or F = V: : F 1 y = F 2 x, F 1 z = F 3 x, F 2 z = F 3 y. (10) 3

4 If these three relations are satisfied, then the three entries of the vector F are zero. In other words, F = 0 implies that F is gradient/conservative. In the case of a two-dimensional vector field F : R 2 R 2, only the first of the above conditions needs to be satisfied. The relations in Eq. (10) may also be expressed in the following way. For any scalar field f : R 3 R, ( f) = 0. (11) In other words, the curl of the gradient field F = f is zero: Gradient or conservative fields are irrotational. You will be asked to prove this result in an assignment. Here is another important result that is left as an exercise: div ( curl F) = ( F) = 0. (12) Revisiting Green s Theorem in the plane with the curl Recall Green s Theorem for line integrals of vector fields in the plane: Green s Theorem: Let D be a bounded subset of R 2 with boundary = D that is a piecewise 1 simple closed curve oriented counter-clockwise. If F(x,y) = (F 1 (x,y),f 2 (x,y)) is of class 1 on D D, then F dx = D ( F2 x F ) 1 da. (13) y From Eq. (9, we see that the integrand of the 2D integration on the right is the ˆk- or z-component of the curl of F, which we may write as ( F) z. As such, we can rewrite Eq. (13) as F dx = ( F) z da or (curl F) z da. (14) D This particular way of expressing Green s Theorem will be important in our future discussion of Stokes Theorem, which is the 3D version of Green s Theorem. Equivalently, Green s Theorem is the 2D version of Stokes Theorem. The fact that the integrand on the RHS of Eq. (14) is the ˆk-component of the curl of F is due to the fact that the ˆk vector is the unit normal vector to the xy-plane over which the integration is being performed. This will make more sense when we study Stokes Theorem. D 4

5 Vorticity and the physical interpretation of the curl of a planar vector field (which explains why F is called the curl ) (Relevant section of AMATH ourse Notes: Section 2.5) In fluid mechanics, if the following planar vector field, v(x,y) = (v 1 (x,y),v 2 (x,y)) = v 1 (x,y)i+v 2 (x,y)j (15) represents the velocity vector field of a fluid in R 2 (for example, the motion of a thin film of fluid), then the vorticity of the fluid at a point (x,y) is defined as Ω(x,y) = v 2 x v 1 y. (16) It is a measure of the rotation of the fluid in the vicinity of the point (x,y). (A discussion of vorticity in terms of paddle wheels being carried by a fluid is presented in Section 2.5 of the ourse Notes.) In fact, the right side of Eq. (16) has already been seen for more general vector fields in the context of 1. conservative fields (Ω(x,y) = 0 over a region D) 2. Green s Theorem in the plane (Ω(x,y) is the integrand of a double integral that may be used to compute the total circulation of a vector field). The vorticity function Ω(x,y) is the z-component of the curl of the planar vector v, i.e., Ω(x,y) = [curlv(x,y)] z = [ v(x,y)] z. (17) As such, we may conjecture that if v(x,y,z) is a three-dimensional velocity vector field, then the three components of the vector, curlv(x,y,z) = v(x,y,z), (18) represent the vorticities of the fluid in the three major planes, i.e., xy, yz, xz. This conjecture, indeed, is correct and will be discussed later in the course. Let us now return to the two-dimensional case, and suppose that F(x,y) is a general vector field in R 2, i.e., not necessarily the velocity field v for a fluid. For convenience, we ll use Ω(x,y) once again to define the vorticity of F, i.e., Ω(x,y) = [curlf(x,y)] z = [ F(x,y)] z = F 2 x F 1 y. (19) 5

6 Let us assume that the vector field F(x,y) is 1 over the neighbourhood D of a point p = (p 1,p 2 ) of the plane. This means that the first-order partial derivatives of F are continuous functions of (x, y) which, in turn, implies that the vorticity function Ω(x, y) is continuous over the region D. This will be important in our discussion below. Now let ǫ denote the circle of radius ǫ > 0 centered at p and D ǫ its interior region so that ǫ = D ǫ, the boundary of D ǫ. The idea is to let ǫ tend to zero. We assume that for some ǫ = ǫ 0 > 0, and therefore all ǫ values smaller than ǫ, the the circles ǫ lie inside the region D over which F is 1. The situation is sketched below. D ǫ. ǫ ǫ p = (p 1,p 2) From Green s Theorem (which we can apply, since the vector field F satisfies the hypotheses of the theorem), the circulation integral of F over the curve ǫ is [ F2 F dx = ǫ D ǫ x F ] 1 da y = Ω(x,y)dA D ǫ = Ω(x ǫ,y ǫ )A(D ǫ) for some point (x ǫ,y ǫ ) D ǫ. = Ω(x ǫ,y ǫ)πǫ 2. (20) Here, A(D ǫ ) denotes the area of the interior region D ǫ. The existence of a point (x ǫ,y ǫ )) D ǫ for which the second last equality holds follows from the Mean Value Theorem for (double) integrals (since the integrand is continuous): Mean Value Theorem for Integrals: Let f(x, y) be defined over a bounded region D R 2. The mean value of f over D is defined as f D = 1 f(x,y)da. (21) A(D) D If f is continuous on D, then there exists at least one point (x,y ) D for which f D = f(x,y ). (22) 6

7 This implies that D f(x,y)da = f(x,y )A(D). (23) Back to our main discussion, the notation (x ǫ,y ǫ) in Eq. (20) indicates the dependence of this point on ǫ. Now divide both sides of the final line of Eq. (20) by the area of D ǫ, to yield Ω(x ǫ,yǫ) = 1 πǫ 2 F dx. (24) ǫ In the limit ǫ 0, the region D ǫ enclosed by circle ǫ shrinks toward the point p = (p 1,p 2 ), the center of the circles ǫ. This implies that (x ǫ,y ǫ) (p 1,p 2 ) = p as ǫ 0. (25) It then follows that the limits as ǫ 0 of both sides of Eq. (24) exist: lim ǫ 0 Ω(x ǫ,y ǫ ) = lim ǫ 0 1 πǫ 2 From the continuity of the function Ω(x,y) on D, we may rewrite the LHS as 1 Ω(p 1,p 2 ) = lim ǫ 0 πǫ 2 ǫ F dx. (26) ǫ F dx. (27) In summary, Vorticity at a point p = limiting circulation per unit area at p. (28) But let s now recall that the vorticity is the z-component of the curl of F so that 1 [curlf(p 1,p 2 )] z = Ω(p 1,p 2 ) = lim ǫ 0 πǫ 2 where ǫ is a circle of radius ǫ centered at p. ǫ F dx, (29) 7

8 Lecture 15 Line integrals of vector fields over closed curves revisited Review: irculation of a vector field around a closed curve in R 2 (as a prelude to Total outward flux ) In this section, we review briefly the idea that the line integral of a planar vector field F around a simple closed curve in R 2, denoted as F dx, (1) may be used to define the circulation of the field over curve. As usual, the convention is that the integration along is performed in the counterclockwise direction so that the region D enclosed by lies always to the left of as we move along the curve. Here, we make no assumption that Green s Theorem in the plane can be employed to compute the circulation integral. As such, we must return to the formal definition. Assuming that we can parametrize the closed curve as x(t) = g(t), a t b, with g(a) = g(b), the line integral is normally computed as follows, b F dx = F(g(t))) g (t) dt. (2) a In a previous lecture, we rewrote the above integral as follows, b F dx = F(g(t)) g (t) dt (3) = = = a b a b a F(g(t)) F(g(t)) ˆT(t) ds fds, g (t) g (t) g (t) dt where the scalar-valued function, f(g(t)) = F(g(t)) ˆT(t), (4) is the projection of F in the direction of the unit tangent vector to the curve at g(t), as sketched in the figure below. Starting at any point P on the curve, the orientation of the tangent vector ˆT will change as we travel along. In one traversal of, the net rotation of the tangent vector is 2π. This is quite clear 1

9 ˆT(t 2 ) F(x(t 2 )) ˆT(t 1 ) F(x(t 3 ) F(x(t 1 )) ˆT(t 3 ) ˆT(t 4 ) F(x(t 4 )) when is a circle. The line integral in (3) sums up the projection of the vector field F(g(t)) onto the unit tangent vector ˆT(t) to the curve. As such, we say that the line integral in (3) is the circulation of the vector field F around the closed curve. Recall that inthespecial case thatfis a 1 vector fieldover theregion D enclosed by simplecurve, Green s Theorem in the plane may be used to express the circulation integral as a two dimensional integral over D, F dx = D [ F2 x F ] 1 da = [curlf] z da. (5) y D Total outward flux of a vector field across a closed curve in R 2 We now return to the line integral in Eq. (3) above and replace the unit tangent vector ˆT with the unit outward normal ˆN to the curve. This is the unit vector at a point g(t) on the curve which is perpendicular to the unit tangent vector ˆT(t) and therefore to the curve and which points outward from the region D enclosed by, as shown below: ˆn(t 2 ) F(x(t 2 )) F(x(t 3 ) F(x(t 1 )) ˆn(t 1 ) ˆn(t 3 ) F(x(t 4 )) ˆn(t 4 ) 2

10 The result is the line integral that we denote as b F ˆN ds = F(g(t)) ˆN(t)ds = a b a F(g(t)) ˆN(t) g (t) dt. (6) learly, this line integral adds up the projection of the vector field F onto the outward normal along the curve. The result is the net or total outward flux of F across the closed curve. Note: The word flux comes from the Latin word fluxus, meaning flow. In the theory of threedimensional transport phenomena (heat transfer, mass transfer and fluid dynamics), flux is defined as the rate of flow of a property per unit area, with dimensions [quantity, e.g., mass][time] 1 [area] 1. (7) We now present a specific example of a vector field F that arises in many applications involving flux. Here, however, we present the two-dimensional version in which the flow takes place across a line, as opposed to an area. Later, we shall present the three-dimensional case. At a point (x,y) in the plane, define where F(x,y) = ρ(x,y)v(x,y), (8) 1. ρ(x, y) represents the planar (2D) density of a fluid (mass/unit area). Dimension: 2. v(x, y) represents the velocity of the fluid (length/time). Dimension: Therefore, Dimension of F : L T. M L 2. M L 2 L T = M LT. (9) Now let be a simple closed curve in the plane which encloses a region D. The dimensionality of the total outward flux integral, is F ˆNds, (10) (Dimension of F) (Dimension of ds) = M LT L = M T. (11) In this special case for F, the outward flux integral measures the rate of mass exiting region D per unit time. It is exiting region D because it is flowing/moving across the boundary curve 3

11 in an outward direction ˆN that is normal to the curve. In the plane R 2, the practical calculation of the outward flux integral is not difficult the only complication is that you have to determine the outward unit normal vector ˆN(t) to the curve. This is easily done from a knowledge of the velocity vector v(t) = g (t). You firstconstruct the unit tangent vector as follows: ˆT(t) = v(t) v(t) = g (t) g (t) = (T 1(t),T 2 (t)). (12) Note that T 2 1 +T2 2 = 1. We now have to find the unit vectors which are normal to (T 1,T 2 ). There is a very easy way to determine the two vectors that are normal to a given vector, say (a,b) in the plane. You simply exchange the two components to produce the vector (b,a) and then negate one of the components, e.g., ( b,a) or (b, a). In fact, one of these vectors is the negative of the other one, i.e. (b, a) = ( b,a). It is easy to see that these vectors are orthogonal to (a,b): (a,b) (b, a) = ab ba = 0 (a,b) ( b,a) = ab+ab = 0. (13) Let us now return to the unit tangent vector ˆT(t). Using the method described above, there are two unit vectors that are perpendicular to ˆT(t). We ll denote them as ˆN 1 = (T 2 (t), T 1 (t)), ˆN2 = (T 2 (t), T 1 (t)). (14) We choose the vector that points outward from the region D enclosed by the simple closed curve. Special case: onsider the circle of radius R and centered at (0,0), which we shall denote as R. The parametrization of R and its velocity are well known, g(t) = (Rcost,Rsint) g (t) = ( Rsint,Rcost), 0 t 2π. (15) Thus the speed is given by g (t) = R so that the element of arclength is The unit tangent vector is then ˆT(t) = ds = g (t) dt = Rdt. (16) 1 g (t) g (t) = 1 ( Rsint,Rcost) = ( sint,cost). (17) R 4

12 Two unit vectors that are perpendicular to ˆT(t) are ˆN 1 (t) = (cost,sint), ˆN2 (t) = (cost,sint). (18) Both of these vectors are normal to the curve R. The vector that points outward is (cost,sint). Thus we set ˆN(t) = (cost,sint). (19) This result was expected: In the case of a circle, ˆN(t) is simply the unit vector that points outward from the center, namely, ˆx(t) = x(t). The situation is sketched above. x(t) ˆT = ( sint,cost) ˆx ˆN = (cost,sint) O R We now compute the outward flux of some vector fields through these circles R. Example 1: F(x,y) = Kî. We may imagine this vector field to represent a fluid that is travelling on the surface of a table with constant velocity K in the x-direction. y F = Kî O R x R 1. Evaluate F on curve: F(g(t)) = (K,0). 2. Integrand: F(g(t)) ˆN(t) = (K,0) (cost,sint) = Kcost. 3. Element of arclength: ds = g (t) dt = Rdt. 5

13 Thus F ˆN ds = R 2π 0 F(g(t)) ˆN(t) g (t) dt = 2π 0 KRcost dt = 0. (20) The net outward flux of F = Kî through the circle R is zero. This result was expected, since the amount of fluid entering the circular region enclosed by curve R from the left is balanced by the amount leaving the region on the right (assuming that K is positive). Example 2: F(x,y) = Kxî+Kyĵ. y F = Kr O R x R We expect the outward flux to be positive since this vector field points outward in the direction of the outward normal vector to R. 1. Evaluate F on curve: F(g(t)) = (KRcost,KRsint). 2. Integrand: F(g(t)) ˆN(t) = (KRcost,KRsint) (cost,sint) = KR. 3. Element of arclength: ds = g (t) dt = Rdt. Thus F ˆN ds = R 2π 0 F(g(t)) ˆN(t) g (t) dt = 2π 0 KR 2 dt = 2πKR 2. (21) The net outward flux of F = Kĝ through the circle R is 2πKR 2. As expected, this flux is positive, representing net outward flow. Also note that the result is dependent upon the radius R of the circle R. It seems that the bigger the circle, the more stuff is flowing through it. 6

14 Example 3: F(x,y) = Kyî+Kxĵ. y O R x R We expect the outward flux to be zero since this vector field points in the direction of the tangent vector to curve R. 1. Evaluate F on curve: F(g(t)) = ( KRsint,KRcost). 2. Integrand: F(g(t)) ˆN(t) = ( KRsint,KRcost) (cost,sint) = Element of arclength: ds = g (t) dt = Rdt. Thus F ˆN ds = R 2π 0 F(g(t)) ˆN(t) g (t) dt = 2π 0 The net outward flux of F = Kyî+Kxĵ through the circle R is 0, as expected. 0 dt = 0. (22) Example 4: The vector field F(x,y) = Kxi + Kyj of Example 2, but we now compute its total outward flux through the triangle with vertices (1,1), (1,2) and (5,1), as sketched below. y x We considertheboundarycurve to beaunionofthethreesidesof thetriangle, i.e., = Then F ˆNds = F ˆNds+ F ˆNds+ F ˆNds. (23)

15 The contributions from each segment i will have to be computed separately. Admittedly, this is a tedious calculation, but it is instructive to see an example that is somewhat more complicated than simply computing line integrals over circles. urve 1 : There are many ways to parametrize this line segment. As long as we employ a parameter that increases as we move from the starting point to the endpoint, things are fine. One possible parametrization of curve 1 is g(t) = (x(t),y(t)) = (t,1), 1 t 5, (24) with associated velocity vector, g (t) = (1,0). (25) 1. Outward unit normal vector ˆN: Quite easy in this case. The unit vector (0, 1). 2. Evaluate F on curve: F(g(t)) = (Kx(t),Ky(t)) = (Kt,K). 3. Integrand: F(g(t)) ˆN(t) = (Kt,K) (0, 1) = K. 4. Element of arclength: ds = g (t) dt = dt. Thus F ˆN ds = ( K)dt = 4K. (26) The net outward flux of F through 1 is 4K. It is expected to be negative since the field vectors of F point inward across 1. urve 2 : Once again, there are many ways to parametrize this line segment. This curve lies on the line y = 1 4 x One possible parametrization of curve 2 is to let x(t) = 5 t for 0 t 4, so that y = 1 4 (5 t)+ 9 4 = 1 t+1. (27) 4 Thus we have g(t) = (x(t),y(t)) = (5 t, 14 ) t+1, 0 t 4, (28) with associated velocity vector, g (t) = ( 1, 1 ). (29) 4 8

16 1. Outward unit normal vector ˆN: A vector normal to 1 will have slope 4. One such vector is N = (1,4) We normalize this vector to produce ˆN = 1 17 (4,1). 2. Evaluate F on curve: F(g(t)) = (Kx(t),Ky(t)) = K(5 t, 1 4 t+1). 3. Integrand: F(g(t)) ˆN(t) = K(5 t, 1 4 t+1) (1,4)) = K 17 (5 t+t+4) = 9K Element of arclength: ds = g (t) dt = = dt. Thus 4 F ˆN ds = 9K dt = 4 4 K dt = 9K. (30) 0 The net outward flux of F through 2 is 9K. It is expected to be positive since the field vectors of F point outward across 2. urve 3 : Let us employ the following parametrization, g(t) = (x(t),y(t)) = (1,2 t), 0 t 1. (31) with associated velocity vector, g (t) = (0, 1). (32) 1. Outward unit normal vector ˆN: This one is also easy. ˆN = ( 1,0). 2. Evaluate F on curve: F(g(t)) = (Kx(t),Ky(t)) = K(1,2 t). 3. Integrand: F(g(t)) ˆN(t) = K(1,2 t) ( 1,0) = K. 4. Element of arclength: ds = g (t) dt = dt. Thus 1 F ˆN ds = Kdt = K. (33) 3 0 The net outward flux of F through 3 is K. It is expected to be negative since the field vectors of F point inward across 1. From Eq. (23), we add up the contributions from these three curves to determine the net outward flux of F through the closed curve : F ˆNds = ( 4+9 1)K = 4K. (34) Needless to say, that was quite a tedious calculation. 9

17 The Divergence Theorem in the Plane The Divergence Theorem in the Plane is the two-dimensional version of the more general threedimensional version, one of the most important results in Vector alculus. It could be viewed as the total outward flux analogue of Green s Theorem in the plane which deals with total circulation. Divergence Theorem in the Plane: Let D be a bounded subset of R 2 whose boundary D is a piecewise 1 simple closed curve oriented counter-clockwise. If F(x,y) = (F 1 (x,y),f 2 (x,y)) is a 1 vector field defined over D D, then F ˆNds = = D D [ F1 x + F ] 2 da y FdA. (35) 1. The integral on the LHS is a line integral over the boundary curve D =. This integral measures the net outward flux of the vector field F through the closed curve. 2. The integral on the RHS is a 2D integral over the region D. Before we prove this theorem, let us return to the three examples of total outward flux computed over the circle R of radius R and centered at (0,0). We let D R denote the circular region enclosed by R. 1. F(x,y) = Ki. Earlier, we computed the total outward flux of F through R to be zero. The divergence of this vector field is Therefore, which agrees with our computed result. F = x (K)+ (0) = 0. (36) y F ˆNds = FdA = 0dA = 0, (37) R D R D R Note: Because the divergence of this field is zero everywhere, it follows that for any simple closed curve in the plane enclosing a region D, the total outward flux of F through is zero, i.e., F ˆNds = D FdA = D 0dA = 0, (38) 10

18 2. F(x,y) = K[xi+yj]. Earlier, we computed thetotal outward fluxof F through R to be2πkr 2. The divergence of this vector field is Therefore, F = x (Kx)+ (Ky) = K +K = 2K. (39) y F ˆNds = FdA = 2KdA = 2KArea(D R ) = 2KπR 2, (40) R D R D R which agrees with our computed result. Note: Because the divergence of this vector field is constant, i.e., 2K, it follows that for any simple closed curve in the plane enclosing a region D, the total outward flux of F through is given by F ˆNds = D FdA = D 2KdA = 2KArea(D). (41) 3. F(x,y) = K[ yi+xj]. Earlier, we computed the total outward flux of F through R to be zero. The divergence of this vector field is Therefore, F = x ( Ky)+ (Kx) = 0. (42) y F ˆNds = which agrees with our computed result. D FdA = D 0dA = 0, (43) Note: As in Example 1, the divergence of this vector field is zero everywhere. It follows that the total outward flux of F through any simple closed curve (containing a region D) is zero. Finally, we return to the fourth example investigated earlier: 4. The vector field of Example 2, F(x,y) = K[xi+yj], but through the boundary of the triangle with vertices (1,1), (5,1) and (1,2), sketched earlier. We actually covered the more general case of this vector field in the note at the end of Example 2. From Eq. (41) and the fact that the area of the triangular region D enclosed by the curve is A = 2, F ˆNds = D FdA = D 2KdA = 2KArea(D) = 2K 2 = 4K, (44) which agrees with the result computed earlier. This computation, however, was much easier. 11

19 Proof of Divergence Theorem in the Plane: We ll actually use Green s Theorem in the Plane. Assume that curve admits a parametrization of the form, g(t) = (g 1 (t),g 2 (t)), a t b. (45) The unit tangent vector to at a point g(t) is then given by ˆT(t) = g (t) g (t) = 1 g (t) (g 1 (t),g 2 (t)) = (T 1(t),T 2 (t)). (46) D ˆT ˆN There are two unit vectors in the plane that are perpendicular to ˆT = (T 1,T 2 ), namely, ˆN ± = ±(T 2, T 1 ). (47) Theoutwardnormalturnsouttobe ˆN + = (T 2, T 1 ), assketchedinthediagrambelow. (Ofcourse, the sketch shows the particular situation in which T 1 and T 2 are both positive. But the other possibilities will yield the same result.) ˆT T 1 T 2 T 1 ˆN T 2 Therefore, the outward normal vector ˆN(t) is given by ˆN(t) = 1 g (t) (g 2 (t), g 1 (t)). (48) 12

20 We now compute the total outward flux of F through curve using this outward normal vector: F ˆNds = = = = = b a b a b a b a b where we have defined the vector field, a F(g(t)) ˆN(t) g (t) dt (F 1 (g(t)),f 2 (g(t)) [( F 2 )g 1 +(F 1)g 2 ]dt ( F 2,F 1 ) (g 1,g 2 )dt 1 g (t) (g 2 (t), g 1 (t)) g (t) dt H(g(t)) g (t)dt, (49) H(x,y) = F 2 (x,y)i+f 1 (x,y)j = H 1 (x,y)i+h 2 (x,y)j. (50) But the final line in Eq. (49) is, by definition, the circulation integral of the vector field H over curve, i.e., F ˆNds = H dx. (51) We can use Green s Theorem to compute this circulation integral (since the 1 requirements of the components of H are satisfied), which completes the proof. F ˆNds = = = H dx [ H2 D x H ] 1 da y [ F1 x + F ] 2 da, (52) y D 13

21 Physical interpretation of the divergence of a planar vector field In this section, we provide a physical interpretation of the divergence of a planar vector field F(x, y) at a point p = (p 1,p 2 ). Our approach will be similar to that used to interpret the curl of a vector field at a point. First recall the Divergence Theorem in the Plane: Let be a simple closed curve enclosing a region D in the plane and let ˆN denote the unit outward normal to. Also let F : R 2 R 2 be a vector field which is 1 on the set D, i.e., F has continuous first derivatives at all points of D. Then, F ˆNds = D [ F1 x + F ] 2 da = FdA. (53) y D The leftmost term of the equation is the total outward flux of F through the curve. The middle and right terms of the equation are the integration of the divergence of F over the two-dimensional region D. Now let p = (p 1,p 2 ) R 2 be a point of interest and assume that the vector field F(x,y) is 1 in a suitably large neighbourhood of p. As before, for an ǫ > 0 and ǫ be the circle of radius ǫ centered at p. Furthermore, let D ǫ be the region enclosed by ǫ. The situation is sketched below. D ǫ. ǫ ǫ p = (p 1,p 2) From the Divergence Theorem, the total outward flux of F through the curve ǫ (counterclockwise integration) is given by ǫ F ˆNds = D ǫ F(x)dA = F(q ǫ )A(D ǫ ) for some point q ǫ D ǫ = F(q ǫ )πǫ 2. (54) Here, we have once again used the Mean Value Theorem for Integrals, since the integrand F is continuous on D ǫ. 14

22 Once again, we divide both sides by the area A(D ǫ ) = πǫ 2 to obtain F(q ǫ ) 1 πǫ 2 F ˆNds. (55) ǫ Now take the limit ǫ 0, which implies that the circle ǫ is being shrunk toward the point p. As such, the points q ǫ must approach p in the limit. We have the result, In other words, 1 F(p) = lim ǫ 0 πǫ 2 F ˆNds. (56) ǫ The divergence of F at point p is the limiting total outward flux of F per unit area at p. This idea will carry over to R 3 in a straightforward way. For a three-dimensional vector field F, F(p) = lim 1 ǫ πǫ3 F ˆNds. S ǫ (57) The integral on the right is the total outward flux through a spherical surface S ǫ of radius ǫ which encloses a spherical region of volume V ǫ = 4 3 πǫ3. The divergence of the 3D vector field F at a point p R 3 is the limiting total outward flux of F per unit volume at p. 15

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

Lecture 11. Line integrals of vector-valued functions (cont d)

Lecture 11. Line integrals of vector-valued functions (cont d) Lecture 11 Line integrals of vector-valued functions (cont d) In the previous lecture, we considered the following physical situation: A force, F(x), which is not necessarily constant in space, is acting

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

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

Math 234 Exam 3 Review Sheet

Math 234 Exam 3 Review Sheet Math 234 Exam 3 Review Sheet Jim Brunner LIST OF TOPIS TO KNOW Vector Fields lairaut s Theorem & onservative Vector Fields url Divergence Area & Volume Integrals Using oordinate Transforms hanging the

More information

Green s, Divergence, Stokes: Statements and First Applications

Green s, Divergence, Stokes: Statements and First Applications Math 425 Notes 12: Green s, Divergence, tokes: tatements and First Applications The Theorems Theorem 1 (Divergence (planar version)). Let F be a vector field in the plane. Let be a nice region of the plane

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

Vector Calculus. Vector Fields. Reading Trim Vector Fields. Assignment web page assignment #9. Chapter 14 will examine a vector field.

Vector Calculus. Vector Fields. Reading Trim Vector Fields. Assignment web page assignment #9. Chapter 14 will examine a vector field. Vector alculus Vector Fields Reading Trim 14.1 Vector Fields Assignment web page assignment #9 hapter 14 will eamine a vector field. For eample, if we eamine the temperature conditions in a room, for ever

More information

MAC2313 Final A. (5 pts) 1. How many of the following are necessarily true? i. The vector field F = 2x + 3y, 3x 5y is conservative.

MAC2313 Final A. (5 pts) 1. How many of the following are necessarily true? i. The vector field F = 2x + 3y, 3x 5y is conservative. MAC2313 Final A (5 pts) 1. How many of the following are necessarily true? i. The vector field F = 2x + 3y, 3x 5y is conservative. ii. The vector field F = 5(x 2 + y 2 ) 3/2 x, y is radial. iii. All constant

More information

One side of each sheet is blank and may be used as scratch paper.

One side of each sheet is blank and may be used as scratch paper. Math 244 Spring 2017 (Practice) Final 5/11/2017 Time Limit: 2 hours Name: No calculators or notes are allowed. One side of each sheet is blank and may be used as scratch paper. heck your answers whenever

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

Notes on Green s Theorem Northwestern, Spring 2013

Notes on Green s Theorem Northwestern, Spring 2013 Notes on Green s Theorem Northwestern, Spring 2013 The purpose of these notes is to outline some interesting uses of Green s Theorem in situations where it doesn t seem like Green s Theorem should be applicable.

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

f. D that is, F dr = c c = [2"' (-a sin t)( -a sin t) + (a cos t)(a cost) dt = f2"' dt = 2

f. D that is, F dr = c c = [2' (-a sin t)( -a sin t) + (a cos t)(a cost) dt = f2' dt = 2 SECTION 16.4 GREEN'S THEOREM 1089 X with center the origin and radius a, where a is chosen to be small enough that C' lies inside C. (See Figure 11.) Let be the region bounded by C and C'. Then its positively

More information

LINE AND SURFACE INTEGRALS: A SUMMARY OF CALCULUS 3 UNIT 4

LINE AND SURFACE INTEGRALS: A SUMMARY OF CALCULUS 3 UNIT 4 LINE AN URFAE INTEGRAL: A UMMARY OF ALULU 3 UNIT 4 The final unit of material in multivariable calculus introduces many unfamiliar and non-intuitive concepts in a short amount of time. This document attempts

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

Some common examples of vector fields: wind shear off an object, gravitational fields, electric and magnetic fields, etc

Some common examples of vector fields: wind shear off an object, gravitational fields, electric and magnetic fields, etc Vector Analysis Vector Fields Suppose a region in the plane or space is occupied by a moving fluid such as air or water. Imagine this fluid is made up of a very large number of particles that at any instant

More information

Stokes Theorem. MATH 311, Calculus III. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Stokes Theorem

Stokes Theorem. MATH 311, Calculus III. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Stokes Theorem tokes Theorem MATH 311, alculus III J. Robert Buchanan Department of Mathematics ummer 2011 Background (1 of 2) Recall: Green s Theorem, M(x, y) dx + N(x, y) dy = R ( N x M ) da y where is a piecewise

More information

LINE AND SURFACE INTEGRALS: A SUMMARY OF CALCULUS 3 UNIT 4

LINE AND SURFACE INTEGRALS: A SUMMARY OF CALCULUS 3 UNIT 4 LINE AN URFAE INTEGRAL: A UMMARY OF ALULU 3 UNIT 4 The final unit of material in multivariable calculus introduces many unfamiliar and non-intuitive concepts in a short amount of time. This document attempts

More information

Line and Surface Integrals. Stokes and Divergence Theorems

Line and Surface Integrals. Stokes and Divergence Theorems Math Methods 1 Lia Vas Line and urface Integrals. tokes and Divergence Theorems Review of urves. Intuitively, we think of a curve as a path traced by a moving particle in space. Thus, a curve is a function

More information

Integration in the Complex Plane (Zill & Wright Chapter 18)

Integration in the Complex Plane (Zill & Wright Chapter 18) Integration in the omplex Plane Zill & Wright hapter 18) 116-4-: omplex Variables Fall 11 ontents 1 ontour Integrals 1.1 Definition and Properties............................. 1. Evaluation.....................................

More information

18.1. Math 1920 November 29, ) Solution: In this function P = x 2 y and Q = 0, therefore Q. Converting to polar coordinates, this gives I =

18.1. Math 1920 November 29, ) Solution: In this function P = x 2 y and Q = 0, therefore Q. Converting to polar coordinates, this gives I = Homework 1 elected olutions Math 19 November 9, 18 18.1 5) olution: In this function P = x y and Q =, therefore Q x P = x. We obtain the following integral: ( Q I = x ydx = x P ) da = x da. onverting to

More information

MATH 228: Calculus III (FALL 2016) Sample Problems for FINAL EXAM SOLUTIONS

MATH 228: Calculus III (FALL 2016) Sample Problems for FINAL EXAM SOLUTIONS MATH 228: Calculus III (FALL 216) Sample Problems for FINAL EXAM SOLUTIONS MATH 228 Page 2 Problem 1. (2pts) Evaluate the line integral C xy dx + (x + y) dy along the parabola y x2 from ( 1, 1) to (2,

More information

MATHEMATICS 317 December 2010 Final Exam Solutions

MATHEMATICS 317 December 2010 Final Exam Solutions MATHEMATI 317 December 1 Final Eam olutions 1. Let r(t) = ( 3 cos t, 3 sin t, 4t ) be the position vector of a particle as a function of time t. (a) Find the velocity of the particle as a function of time

More information

Summary for Vector Calculus and Complex Calculus (Math 321) By Lei Li

Summary for Vector Calculus and Complex Calculus (Math 321) By Lei Li Summary for Vector alculus and omplex alculus (Math 321) By Lei Li 1 Vector alculus 1.1 Parametrization urves, surfaces, or volumes can be parametrized. Below, I ll talk about 3D case. Suppose we use e

More information

Arnie Pizer Rochester Problem Library Fall 2005 WeBWorK assignment VectorCalculus1 due 05/03/2008 at 02:00am EDT.

Arnie Pizer Rochester Problem Library Fall 2005 WeBWorK assignment VectorCalculus1 due 05/03/2008 at 02:00am EDT. Arnie Pizer Rochester Problem Library Fall 005 WeBWorK assignment Vectoralculus due 05/03/008 at 0:00am EDT.. ( pt) rochesterlibrary/setvectoralculus/ur V.pg onsider the transformation T : x = 35 35 37u

More information

Review Questions for Test 3 Hints and Answers

Review Questions for Test 3 Hints and Answers eview Questions for Test 3 Hints and Answers A. Some eview Questions on Vector Fields and Operations. A. (a) The sketch is left to the reader, but the vector field appears to swirl in a clockwise direction,

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

49. Green s Theorem. The following table will help you plan your calculation accordingly. C is a simple closed loop 0 Use Green s Theorem

49. Green s Theorem. The following table will help you plan your calculation accordingly. C is a simple closed loop 0 Use Green s Theorem 49. Green s Theorem Let F(x, y) = M(x, y), N(x, y) be a vector field in, and suppose is a path that starts and ends at the same point such that it does not cross itself. Such a path is called a simple

More information

Math 23b Practice Final Summer 2011

Math 23b Practice Final Summer 2011 Math 2b Practice Final Summer 211 1. (1 points) Sketch or describe the region of integration for 1 x y and interchange the order to dy dx dz. f(x, y, z) dz dy dx Solution. 1 1 x z z f(x, y, z) dy dx dz

More information

(b) Find the range of h(x, y) (5) Use the definition of continuity to explain whether or not the function f(x, y) is continuous at (0, 0)

(b) Find the range of h(x, y) (5) Use the definition of continuity to explain whether or not the function f(x, y) is continuous at (0, 0) eview Exam Math 43 Name Id ead each question carefully. Avoid simple mistakes. Put a box around the final answer to a question (use the back of the page if necessary). For full credit you must show your

More information

Name: Instructor: Lecture time: TA: Section time:

Name: Instructor: Lecture time: TA: Section time: Math 222 Final May 11, 29 Name: Instructor: Lecture time: TA: Section time: INSTRUCTIONS READ THIS NOW This test has 1 problems on 16 pages worth a total of 2 points. Look over your test package right

More information

Lecture 16. Surface Integrals (cont d) Surface integration via parametrization of surfaces

Lecture 16. Surface Integrals (cont d) Surface integration via parametrization of surfaces Lecture 16 urface Integrals (cont d) urface integration via parametrization of surfaces Relevant section of AMATH 231 Course Notes: ection 3.1.1 In general, the compuation of surface integrals will not

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

SOME PROBLEMS YOU SHOULD BE ABLE TO DO

SOME PROBLEMS YOU SHOULD BE ABLE TO DO OME PROBLEM YOU HOULD BE ABLE TO DO I ve attempted to make a list of the main calculations you should be ready for on the exam, and included a handful of the more important formulas. There are no examples

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

Department of Mathematics, IIT Bombay End-Semester Examination, MA 105 Autumn-2008

Department of Mathematics, IIT Bombay End-Semester Examination, MA 105 Autumn-2008 Department of Mathematics, IIT Bombay End-Semester Examination, MA 105 Autumn-2008 Code: C-031 Date and time: 17 Nov, 2008, 9:30 A.M. - 12:30 P.M. Maximum Marks: 45 Important Instructions: 1. The question

More information

1 + f 2 x + f 2 y dy dx, where f(x, y) = 2 + 3x + 4y, is

1 + f 2 x + f 2 y dy dx, where f(x, y) = 2 + 3x + 4y, is 1. The value of the double integral (a) 15 26 (b) 15 8 (c) 75 (d) 105 26 5 4 0 1 1 + f 2 x + f 2 y dy dx, where f(x, y) = 2 + 3x + 4y, is 2. What is the value of the double integral interchange the order

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

Vector valued functions

Vector valued functions 98 Chapter 3 Vector valued functions In this chapter we study two types of special functions: (1) Continuous mapping of one variable(called a path) (2) Mapping from a subset of R n to itself(called vector

More information

ARNOLD PIZER rochester problib from CVS Summer 2003

ARNOLD PIZER rochester problib from CVS Summer 2003 ARNOLD PIZER rochester problib from VS Summer 003 WeBWorK assignment Vectoralculus due 5/3/08 at :00 AM.( pt) setvectoralculus/ur V.pg onsider the transformation T : x 8 53 u 45 45 53v y 53 u 8 53 v A.

More information

Math 233. Practice Problems Chapter 15. i j k

Math 233. Practice Problems Chapter 15. i j k Math 233. Practice Problems hapter 15 1. ompute the curl and divergence of the vector field F given by F (4 cos(x 2 ) 2y)i + (4 sin(y 2 ) + 6x)j + (6x 2 y 6x + 4e 3z )k olution: The curl of F is computed

More information

Summary of various integrals

Summary of various integrals ummary of various integrals Here s an arbitrary compilation of information about integrals Moisés made on a cold ecember night. 1 General things o not mix scalars and vectors! In particular ome integrals

More information

Divergence Theorem December 2013

Divergence Theorem December 2013 Divergence Theorem 17.3 11 December 2013 Fundamental Theorem, Four Ways. b F (x) dx = F (b) F (a) a [a, b] F (x) on boundary of If C path from P to Q, ( φ) ds = φ(q) φ(p) C φ on boundary of C Green s Theorem:

More information

Solutions to old Exam 3 problems

Solutions to old Exam 3 problems Solutions to old Exam 3 problems Hi students! I am putting this version of my review for the Final exam review here on the web site, place and time to be announced. Enjoy!! Best, Bill Meeks PS. There are

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

Practice Problems for Exam 3 (Solutions) 1. Let F(x, y) = xyi+(y 3x)j, and let C be the curve r(t) = ti+(3t t 2 )j for 0 t 2. Compute F dr.

Practice Problems for Exam 3 (Solutions) 1. Let F(x, y) = xyi+(y 3x)j, and let C be the curve r(t) = ti+(3t t 2 )j for 0 t 2. Compute F dr. 1. Let F(x, y) xyi+(y 3x)j, and let be the curve r(t) ti+(3t t 2 )j for t 2. ompute F dr. Solution. F dr b a 2 2 F(r(t)) r (t) dt t(3t t 2 ), 3t t 2 3t 1, 3 2t dt t 3 dt 1 2 4 t4 4. 2. Evaluate the line

More information

Direction of maximum decrease = P

Direction of maximum decrease = P APPM 35 FINAL EXAM PING 15 INTUTION: Electronic devices, books, and crib sheets are not permitted. Write your name and your instructor s name on the front of your bluebook. Work all problems. how your

More information

18.02 Multivariable Calculus Fall 2007

18.02 Multivariable Calculus Fall 2007 MIT OpenourseWare http://ocw.mit.edu 18.02 Multivariable alculus Fall 2007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 18.02 Lecture 21. Test for

More information

Math 11 Fall 2007 Practice Problem Solutions

Math 11 Fall 2007 Practice Problem Solutions Math 11 Fall 27 Practice Problem olutions Here are some problems on the material we covered since the second midterm. This collection of problems is not intended to mimic the final in length, content,

More information

Divergence Theorem Fundamental Theorem, Four Ways. 3D Fundamental Theorem. Divergence Theorem

Divergence Theorem Fundamental Theorem, Four Ways. 3D Fundamental Theorem. Divergence Theorem Divergence Theorem 17.3 11 December 213 Fundamental Theorem, Four Ways. b F (x) dx = F (b) F (a) a [a, b] F (x) on boundary of If C path from P to Q, ( φ) ds = φ(q) φ(p) C φ on boundary of C Green s Theorem:

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-B2a-22 Ver: August 28, 2010 Ver 1.6: Martin Adams, Sep 2009 Ver 1.5: Martin Adams, August 2008 Ver

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

Math 11 Fall 2018 Practice Final Exam

Math 11 Fall 2018 Practice Final Exam Math 11 Fall 218 Practice Final Exam Disclaimer: This practice exam should give you an idea of the sort of questions we may ask on the actual exam. Since the practice exam (like the real exam) is not long

More information

Multivariable Calculus Lecture #12 Notes

Multivariable Calculus Lecture #12 Notes Multivariable alculus Lecture #12 Notes In this lecture, we will develop a list of statements equivalent to a vector field being conservative and state and prove Green s heorem to help connect these facts.

More information

Final exam (practice 1) UCLA: Math 32B, Spring 2018

Final exam (practice 1) UCLA: Math 32B, Spring 2018 Instructor: Noah White Date: Final exam (practice 1) UCLA: Math 32B, Spring 218 This exam has 7 questions, for a total of 8 points. Please print your working and answers neatly. Write your solutions in

More information

The Calculus of Vec- tors

The Calculus of Vec- tors Physics 2460 Electricity and Magnetism I, Fall 2007, Lecture 3 1 The Calculus of Vec- Summary: tors 1. Calculus of Vectors: Limits and Derivatives 2. Parametric representation of Curves r(t) = [x(t), y(t),

More information

Staple or bind all pages together. DO NOT dog ear pages as a method to bind.

Staple or bind all pages together. DO NOT dog ear pages as a method to bind. Math 3337 Homework Instructions: Staple or bind all pages together. DO NOT dog ear pages as a method to bind. Hand-drawn sketches should be neat, clear, of reasonable size, with axis and tick marks appropriately

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

18.02 Multivariable Calculus Fall 2007

18.02 Multivariable Calculus Fall 2007 MIT OpenourseWare http://ocw.mit.edu 18.02 Multivariable alculus Fall 2007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 18.02 Lecture 30. Tue, Nov

More information

Vector Fields and Line Integrals The Fundamental Theorem for Line Integrals

Vector Fields and Line Integrals The Fundamental Theorem for Line Integrals Math 280 Calculus III Chapter 16 Sections: 16.1, 16.2 16.3 16.4 16.5 Topics: Vector Fields and Line Integrals The Fundamental Theorem for Line Integrals Green s Theorem Curl and Divergence Section 16.1

More information

Math 265H: Calculus III Practice Midterm II: Fall 2014

Math 265H: Calculus III Practice Midterm II: Fall 2014 Name: Section #: Math 65H: alculus III Practice Midterm II: Fall 14 Instructions: This exam has 7 problems. The number of points awarded for each question is indicated in the problem. Answer each question

More information

Line, surface and volume integrals

Line, surface and volume integrals www.thestudycampus.com Line, surface and volume integrals In the previous chapter we encountered continuously varying scalar and vector fields and discussed the action of various differential operators

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

Complex Analysis MATH 6300 Fall 2013 Homework 4

Complex Analysis MATH 6300 Fall 2013 Homework 4 Complex Analysis MATH 6300 Fall 2013 Homework 4 Due Wednesday, December 11 at 5 PM Note that to get full credit on any problem in this class, you must solve the problems in an efficient and elegant manner,

More information

10.9 Stokes's theorem

10.9 Stokes's theorem 09 tokes's theorem This theorem transforms surface integrals into line integrals and conversely, line integrals into surface integrals Hence, it generalizes Green's theorem in the plane of ec 04 Equation

More information

4B. Line Integrals in the Plane

4B. Line Integrals in the Plane 4. Line Integrals in the Plane 4A. Plane Vector Fields 4A-1 Describe geometrically how the vector fields determined by each of the following vector functions looks. Tell for each what the largest region

More information

18.02 Multivariable Calculus Fall 2007

18.02 Multivariable Calculus Fall 2007 MIT OpenourseWare http://ocw.mit.edu 8.02 Multivariable alculus Fall 2007 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 8.02 Lecture 8. hange of variables.

More information

Page Points Score Total: 210. No more than 200 points may be earned on the exam.

Page Points Score Total: 210. No more than 200 points may be earned on the exam. Name: PID: Section: Recitation Instructor: DO NOT WRITE BELOW THIS LINE. GO ON TO THE NEXT PAGE. Page Points Score 3 18 4 18 5 18 6 18 7 18 8 18 9 18 10 21 11 21 12 21 13 21 Total: 210 No more than 200

More information

Final Exam. Monday March 19, 3:30-5:30pm MAT 21D, Temple, Winter 2018

Final Exam. Monday March 19, 3:30-5:30pm MAT 21D, Temple, Winter 2018 Name: Student ID#: Section: Final Exam Monday March 19, 3:30-5:30pm MAT 21D, Temple, Winter 2018 Show your work on every problem. orrect answers with no supporting work will not receive full credit. Be

More information

θ d2 +r 2 r dr d (d 2 +R 2 ) 1/2. (1)

θ d2 +r 2 r dr d (d 2 +R 2 ) 1/2. (1) Lecture 33 Applications of Taylor and Maclaurin polynomials (cont d) Leading-order behaviours and limits using Taylor series Example: We return to the problem of the gravitational force exerted on a point

More information

Sections minutes. 5 to 10 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed.

Sections minutes. 5 to 10 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed. MTH 34 Review for Exam 4 ections 16.1-16.8. 5 minutes. 5 to 1 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed. Review for Exam 4 (16.1) 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 My part:

More information

Solutions for the Practice Final - Math 23B, 2016

Solutions for the Practice Final - Math 23B, 2016 olutions for the Practice Final - Math B, 6 a. True. The area of a surface is given by the expression d, and since we have a parametrization φ x, y x, y, f x, y with φ, this expands as d T x T y da xy

More information

Ideas from Vector Calculus Kurt Bryan

Ideas from Vector Calculus Kurt Bryan Ideas from Vector Calculus Kurt Bryan Most of the facts I state below are for functions of two or three variables, but with noted exceptions all are true for functions of n variables..1 Tangent Line Approximation

More information

In this chapter, we study the calculus of vector fields.

In this chapter, we study the calculus of vector fields. 16 VECTOR CALCULUS VECTOR CALCULUS In this chapter, we study the calculus of vector fields. These are functions that assign vectors to points in space. VECTOR CALCULUS We define: Line integrals which can

More information

ENGI 4430 Line Integrals; Green s Theorem Page 8.01

ENGI 4430 Line Integrals; Green s Theorem Page 8.01 ENGI 443 Line Integrals; Green s Theorem Page 8. 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

Math 53 Spring 2018 Practice Midterm 2

Math 53 Spring 2018 Practice Midterm 2 Math 53 Spring 218 Practice Midterm 2 Nikhil Srivastava 8 minutes, closed book, closed notes 1. alculate 1 y 2 (x 2 + y 2 ) 218 dxdy Solution. Since the type 2 region D = { y 1, x 1 y 2 } is a quarter

More information

Multivariable Calculus

Multivariable Calculus Multivariable alculus Jaron Kent-Dobias May 17, 2011 1 Lines in Space By space, we mean R 3. First, conventions. Always draw right-handed axes. You can define a L line precisely in 3-space with 2 points,

More information

Topic 2-2: Derivatives of Vector Functions. Textbook: Section 13.2, 13.4

Topic 2-2: Derivatives of Vector Functions. Textbook: Section 13.2, 13.4 Topic 2-2: Derivatives of Vector Functions Textbook: Section 13.2, 13.4 Warm-Up: Parametrization of Circles Each of the following vector functions describe the position of an object traveling around the

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

CURRENT MATERIAL: Vector Calculus.

CURRENT MATERIAL: Vector Calculus. Math 275, section 002 (Ultman) Spring 2012 FINAL EXAM REVIEW The final exam will be held on Wednesday 9 May from 8:00 10:00am in our regular classroom. You will be allowed both sides of two 8.5 11 sheets

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

Review problems for the final exam Calculus III Fall 2003

Review problems for the final exam Calculus III Fall 2003 Review problems for the final exam alculus III Fall 2003 1. Perform the operations indicated with F (t) = 2t ı 5 j + t 2 k, G(t) = (1 t) ı + 1 t k, H(t) = sin(t) ı + e t j a) F (t) G(t) b) F (t) [ H(t)

More information

Appendix A. Vector Calculus in Two Dimensions

Appendix A. Vector Calculus in Two Dimensions Appendix A Vector alculus in Two Dimensions The purpose of this appendix is to review the basics of vector calculus in the two dimensions. Most, if not all, this material should be familiar to the student

More information

15.2 divergence, curl and del in 2D Contemporary Calculus 1

15.2 divergence, curl and del in 2D Contemporary Calculus 1 15.2 divergence, curl and del in 2D Contemporary Calculus 1 15.2 Del Operator and 2D Divergence and Curl The divergence and curl of a vector field F describe two characteristics of the field at each point

More information

Magnetostatics. Lecture 23: Electromagnetic Theory. Professor D. K. Ghosh, Physics Department, I.I.T., Bombay

Magnetostatics. Lecture 23: Electromagnetic Theory. Professor D. K. Ghosh, Physics Department, I.I.T., Bombay Magnetostatics Lecture 23: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay Magnetostatics Up until now, we have been discussing electrostatics, which deals with physics

More information

Exercises for Multivariable Differential Calculus XM521

Exercises for Multivariable Differential Calculus XM521 This document lists all the exercises for XM521. The Type I (True/False) exercises will be given, and should be answered, online immediately following each lecture. The Type III exercises are to be done

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 350 Solutions for Final Exam Page 1. Problem 1. (10 points) (a) Compute the line integral. F ds C. z dx + y dy + x dz C

Math 350 Solutions for Final Exam Page 1. Problem 1. (10 points) (a) Compute the line integral. F ds C. z dx + y dy + x dz C Math 35 Solutions for Final Exam Page Problem. ( points) (a) ompute the line integral F ds for the path c(t) = (t 2, t 3, t) with t and the vector field F (x, y, z) = xi + zj + xk. (b) ompute the line

More information

16.3. Conservative Vector Fields

16.3. Conservative Vector Fields 16.3 onservative Vector Fields Review: Work F d r = FT ds = Fr '( t ) dt Mdx Nd Pdz if F Mi Nj Pk F d r is also called circulation if F represents a velocit vector field. Outward flux across a simple closed

More information

Math 210, Final Exam, Practice Fall 2009 Problem 1 Solution AB AC AB. cosθ = AB BC AB (0)(1)+( 4)( 2)+(3)(2)

Math 210, Final Exam, Practice Fall 2009 Problem 1 Solution AB AC AB. cosθ = AB BC AB (0)(1)+( 4)( 2)+(3)(2) Math 2, Final Exam, Practice Fall 29 Problem Solution. A triangle has vertices at the points A (,,), B (, 3,4), and C (2,,3) (a) Find the cosine of the angle between the vectors AB and AC. (b) Find an

More information

Math 32B Discussion Session Week 10 Notes March 14 and March 16, 2017

Math 32B Discussion Session Week 10 Notes March 14 and March 16, 2017 Math 3B iscussion ession Week 1 Notes March 14 and March 16, 17 We ll use this week to review for the final exam. For the most part this will be driven by your questions, and I ve included a practice final

More information

4. Line Integrals in the Plane

4. Line Integrals in the Plane 4. Line Integrals in the Plane 4A. Plane Vector Fields 4A- a) All vectors in the field are identical; continuously differentiable everywhere. b) The vector at P has its tail at P and head at the origin;

More information

Peter Alfeld Math , Fall 2005

Peter Alfeld Math , Fall 2005 WeBWorK assignment due 9/2/05 at :59 PM..( pt) Consider the parametric equation x = 2(cosθ + θsinθ) y = 2(sinθ θcosθ) What is the length of the curve for θ = 0 to θ = 7 6 π? 2.( pt) Let a = (-2 4 2) and

More information

Calculus: Several Variables Lecture 27

Calculus: Several Variables Lecture 27 alculus: Several Variables Lecture 27 Instructor: Maksim Maydanskiy Lecture 27 Plan 1. Work integrals over a curve continued. (15.4) Work integral and circulation. Example by inspection. omputation via

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

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

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

Sept , 17, 23, 29, 37, 41, 45, 47, , 5, 13, 17, 19, 29, 33. Exam Sept 26. Covers Sept 30-Oct 4.

Sept , 17, 23, 29, 37, 41, 45, 47, , 5, 13, 17, 19, 29, 33. Exam Sept 26. Covers Sept 30-Oct 4. MATH 23, FALL 2013 Text: Calculus, Early Transcendentals or Multivariable Calculus, 7th edition, Stewart, Brooks/Cole. We will cover chapters 12 through 16, so the multivariable volume will be fine. WebAssign

More information

Name: Date: 12/06/2018. M20550 Calculus III Tutorial Worksheet 11

Name: Date: 12/06/2018. M20550 Calculus III Tutorial Worksheet 11 1. ompute the surface integral M255 alculus III Tutorial Worksheet 11 x + y + z) d, where is a surface given by ru, v) u + v, u v, 1 + 2u + v and u 2, v 1. olution: First, we know x + y + z) d [ ] u +

More information