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

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

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.

Math 233. Practice Problems Chapter 15. i j k

Calculus III. Math 233 Spring Final exam May 3rd. Suggested solutions

Math Review for Exam 3

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

MATH 52 FINAL EXAM SOLUTIONS

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

Vector Calculus handout

Final Exam Review Sheet : Comments and Selected Solutions

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

Summary of various integrals

Solutions for the Practice Final - Math 23B, 2016

Line and Surface Integrals. Stokes and Divergence Theorems

McGill University April 16, Advanced Calculus for Engineers

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

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

MATH H53 : Final exam

In general, the formula is S f ds = D f(φ(u, v)) Φ u Φ v da. To compute surface area, we choose f = 1. We compute

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.

Math 11 Fall 2016 Final Practice Problem Solutions

SOME PROBLEMS YOU SHOULD BE ABLE TO DO

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 =

Math 234 Exam 3 Review Sheet

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

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

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

CURRENT MATERIAL: Vector Calculus.

Review Questions for Test 3 Hints and Answers

1 Integration in many variables.

Divergence Theorem December 2013

HOMEWORK 8 SOLUTIONS

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

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

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

Vector Calculus Gateway Exam

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

Math 5BI: Problem Set 9 Integral Theorems of Vector Calculus

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

(a) 0 (b) 1/4 (c) 1/3 (d) 1/2 (e) 2/3 (f) 3/4 (g) 1 (h) 4/3

Midterm 1 Review. Distance = (x 1 x 0 ) 2 + (y 1 y 0 ) 2.

Jim Lambers MAT 280 Fall Semester Practice Final Exam Solution

Archive of Calculus IV Questions Noel Brady Department of Mathematics University of Oklahoma

MATH 332: Vector Analysis Summer 2005 Homework

Math 53 Final Exam, Prof. Srivastava May 11, 2018, 11:40pm 2:30pm, 155 Dwinelle Hall.

7a3 2. (c) πa 3 (d) πa 3 (e) πa3

Mathematics (Course B) Lent Term 2005 Examples Sheet 2

Math 263 Final. (b) The cross product is. i j k c. =< c 1, 1, 1 >

Math 11 Fall 2007 Practice Problem Solutions

Solutions to Sample Questions for Final Exam

x + ye z2 + ze y2, y + xe z2 + ze x2, z and where T is the

18.02 Multivariable Calculus Fall 2007

MATH 2400: Calculus III, Fall 2013 FINAL EXAM

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

M273Q Multivariable Calculus Spring 2017 Review Problems for Exam 3

53. Flux Integrals. Here, R is the region over which the double integral is evaluated.

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

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

51. General Surface Integrals

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

Vector Calculus, Maths II

Math 3435 Homework Set 11 Solutions 10 Points. x= 1,, is in the disk of radius 1 centered at origin

( ) ( ) ( ) ( ) Calculus III - Problem Drill 24: Stokes and Divergence Theorem

Some Important Concepts and Theorems of Vector Calculus

2. Below are four algebraic vector fields and four sketches of vector fields. Match them.

Math 11 Fall 2018 Practice Final Exam

MTH 234 Exam 2 November 21st, Without fully opening the exam, check that you have pages 1 through 12.

Answers and Solutions to Section 13.7 Homework Problems 1 19 (odd) S. F. Ellermeyer April 23, 2004

Practice Problems for the Final Exam

Name: SOLUTIONS Date: 11/9/2017. M20550 Calculus III Tutorial Worksheet 8

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

CURRENT MATERIAL: Vector Calculus.

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

1. (a) (5 points) Find the unit tangent and unit normal vectors T and N to the curve. r (t) = 3 cos t, 0, 3 sin t, r ( 3π

(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)

Review Sheet for the Final

MA FINAL EXAM Form 01 May 1, 2017

Assignment 11 Solutions

Department of Mathematical and Statistical Sciences University of Alberta

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

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

F ds, where F and S are as given.

Green s, Divergence, Stokes: Statements and First Applications

Section 17.4 Green s Theorem

1. If the line l has symmetric equations. = y 3 = z+2 find a vector equation for the line l that contains the point (2, 1, 3) and is parallel to l.

MATH 261 FINAL EXAM PRACTICE PROBLEMS

Review problems for the final exam Calculus III Fall 2003

MAT 211 Final Exam. Spring Jennings. Show your work!

1.1 Single Variable Calculus versus Multivariable Calculus Rectangular Coordinate Systems... 4

Solutions to old Exam 3 problems

Extra Problems Chapter 7

Extra Problems Chapter 7

ES.182A Topic 44 Notes Jeremy Orloff

Major Ideas in Calc 3 / Exam Review Topics

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

MATH 52 FINAL EXAM DECEMBER 7, 2009

Math 23b Practice Final Summer 2011

Math Exam IV - Fall 2011

APPM 2350 FINAL EXAM FALL 2017

MATHEMATICS 317 December 2010 Final Exam Solutions

Transcription:

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 to succinctly describe this material and enable the student to draw connections and links between concepts. There are two main issues with this material: first, understanding how to compute the various integrals introduced and what they represent; second, knowing what shortcuts can be used in these computations and the proper situation in which to employ their effectiveness. 1. Parameterizations and the omputation and Interpretation of Line and urface Integrals There are two basic types of integrals we compute: line integrals and surface integrals. This distinction describes the object over which we are integrating, i.e. the domain of integration. In the case of line integrals, we integrate over some curve in R 2 or R 3 ; the most popular curves are line segments and circles, but they can be more complicated. One will either be given or must write for oneself a parametrization, which will depend on a single variable. In the case of surface integrals, we integrate over a surface in R 3 ; popular surfaces include cylinders, spheres, and planes, but again could be more complicated. Once more, a parametrization must be provided to you or derived, which will depend on two variables. orresponding to the parametrization of a surface is a normal vector, which is orthogonal to the surface and whose orientation is consistent with directions in the problem or a standard convention (i.e. outward from a closed surface). Below we give the standard parameterizations for the most common curves and surfaces. (Note that if the problem restricts these objects, such as taking only the upper half of a circle or sphere, bounds for the parameters must be adjusted accordingly.) Example 1. To parameterize a line segment from (x 1, y 1, z 1 ) to (x 2, y 2, z 2 ), we write r(t) = (x 2 x 1 )t + x 1, (y 2 y 1 )t + y 1, (z 2 z 1 )t + z 1, 0 t 1. If two of the three coordinates, say y and z, remain fixed, an easy and simple alternate parametrization is r(t) = t, y, z, x 1 t x 2. Example 2. For a circle of radius R centered at the origin, r(t) = R cos t, R sin t for 0 t 2π. Example 3. For a cylinder of radius R with central axis the z-axis, r(θ, z) = R cos θ, R sin θ, z, 0 θ 2π, < z <. Often the z value will be restricted over a certain interval. If the central axis is not the z-axis, a similar parametrization works where the central axis is left free and the 1

2 LINE AN URFAE INTEGRAL: A UMMARY OF ALULU 3 UNIT 4 other two variables operate with polar-type coordinates. The normal vector in this case is n = R cos θ, R sin θ, 0, n = R. Example 4. For a plane ax + by + cz = d, we write r(x, y) = x, y, (d ax by)/c ; most often we only consider the portion in the first octant (where all variables are positive), so the bounds for parameters x and y can be found by looking at the projection into the x, y-plane ax + by = d. Whenever z is written as a function of x and y like it is here, we have n = k x, k y, 1, n = 1 + k 2 x + k 2 y. Example 5. For a sphere of radius R centered at the origin, r(θ, φ) = R cos θ sin φ, R sin θ sin φ, R cos φ, 0 θ 2π, 0 φ π. It can be shown that in this case n = R 2 sin φ cos θ sin φ, sin θ sin φ, cos φ and n = R 2 sin φ. Now that we are able to write parameterizations, let us observe a second distinction between these integrals: the object we are integrating (i.e. the integrand). For both line and surface integrals, we may integrate either a scalar-valued function f(x, y, z) or a vector field F = f, g, h. For each of these possibilities, the formulas for computing the line and surface integral are very similar. efinition 1. The line integral of f(x, y) over a curve parameterized by r(t) is calculated as follows: β f ds = f(r(t)) r (t) dt. α efinition 2. The surface integral of f(x, y, z) over the surface parameterized by r(u, v) with domain is calculated as follows: f d = f(r(u, v)) n dudv, where n = r u r v. It is when integrating over a function that we need to find a magnitude. Note that the main difference in these formulas, other than the parametrization, is that r (t) is replaced by the normal vector n. The same holds for the integrals over a vector field. efinition 3. The line integral of F = f, g, h over a curve parameterized by r(t) is calculated by β F dr = F(r(t)) r (t) dt. α efinition 4. The surface integral of F over the surface parameterized by r(u, v) with domain is calculated by F d = F(r(u, v)) n dudv, where n = r u r v.

LINE AN URFAE INTEGRAL: A UMMARY OF ALULU 3 UNIT 4 3 The main difference when integrating over a vector field is that we no longer have to find a magnitude, but rather a dot product. Finally, many students ask what am I actually calculating when I find these integrals?, so let us briefly comment on their interpretation. For the line integral of a function f(x, y), observe that f takes on various z-values as x and y range over the points on the curve. This creates a sort of wall or sheet if we drop perpendiculars from the z-values down to the x, y-plane (or up to the x, y-plane if the z-value is negative). The line integral calculates the (signed) area of this sheet. The surface integral of a function is similar, except that the function must take three inputs f(x, y, z), so the output lives in R 4 and our visual fails us. However, we do know that if we take the function to be identically 1, we get the surface area of the surface over which we are integrating. In the case of the line integral of a vector field, we are finding how much the vector field points in the direction of the curve. If the vector field is a force field, the integral gives the work done by the field in moving an object along the curve. For the surface integral of a vector field, we are finding how much the vector field points in a direction parallel to the normal vector of the surface, that is, how much the vector field passes through the surface; this is also called the flux. 2. hortcuts and When to Use Them The first shortcut applies to line integrals of vector fields. The computation is simpler when the vector field is conservative, as the following theorem says. Theorem 6. (Fundamental Theorem of onservative Vector Fields) Let F be a continuous, conservative vector field with F = φ in an open connected region (in R 2 or R 3 ). If is a smooth oriented curve from P to Q in the region, then F dr = φ(q) φ(p ). o when faced with computing such a line integral, it is wise to first check whether the vector field F = F 1, F 2, F 3 is conservative. For most vector fields (those with simply connected, open domains) this amounts to satisfying the following three cross-partial conditions: F 1 y = F 2 x, F 2 z = F 3 y, F 3 x = F 1 z. Having done this, how does one find the potential function φ such that φ = F? My method is to integrate each component with respect to the corresponding variable, and select each term that appears, not counting repeats. This technique is illustrated in the following example. Example 7. uppose we want to find the potential function for the vector field F = y + z, x + z, x + y. We perform three partial integrations: (y + z)dx = xy + xz + f(y, z) (x + z)dy = xy + yz + g(x, z)

4 LINE AN URFAE INTEGRAL: A UMMARY OF ALULU 3 UNIT 4 (x + y)dz = xz + yz + h(x, y) Therefore, the terms that appear (not counting repetition) are φ(x, y, z) = xy + xz + yz. The remaining shortcuts should be applied with more discernment. applies to line integrals of vector fields. The next also Theorem 8. (Green s Theorem) Let be a simply connected region of R 2 whose boundary curve is simple, closed, smooth (or piecewise smooth), and oriented counterclockwise. Let F = f, g be continuously differentiable in. Then F dr = (g x f y ) da. Essentially, Green s Theorem says that the circulation of a vector field can be evaluated by a double integral. This is especially useful when the boundary curve has multiple pieces which would require multiple parameterizations if calculated as a straightforward circulation. When should I use Green s Theorem? Look for line integrals of a twodimensional vector field over a closed curve, where the region bounded by the curve can be easily represented as a double integral (rectangle, triangle, circle). on t sweat the W orientation too much: if the orientation is clockwise, just negate your answer by reversing the orientation of the curve. The final two shortcuts are related to surface integrals. Theorem 9. (tokes Theorem) Let be a smooth, oriented surface in R 3 with normal vector n and smooth, closed boundary curve = whose orientation is consistent with. Let F = f, g, h be continuously differentiable on. Then F dr = curl(f) d. tokes Theorem relates the circulation of a vector field around the boundary of a surface to the surface integral of that surface over a related, but different vector field, namely the curl of the original vector field. The difficulty with knowing when to apply tokes Theorem is that it is not clear which side will be easier to evaluate, as this depends on the given situation. However, since in general it is easier to find the curl of a vector field than to find the anti-curl, as it were, we generally apply the Theorem to circulations to convert them to surface integrals. When should I use tokes Theorem? Look for circulations of a vector field where the curve is the boundary of a surface with a wellknown parametrization (plane, sphere, or any function that can be explicitly solved for z). Finally, we have the incredibly useful ivergence Theorem. Theorem 10. (ivergence Theorem) Let F be a continuously differentiable vector field in a simply connected region in R 3 which is enclosed by an oriented surface. Then F d = div(f) dv.

LINE AN URFAE INTEGRAL: A UMMARY OF ALULU 3 UNIT 4 5 This theorem simplifies the surface integral of a vector field into a triple integral of a related scalar-valued function, namely div(f). As with Green s Theorem, this is especially useful when the surface consists of many parts which would require multiple parameterizations if done in the usual way. When should I use the ivergence Theorem? Look for surface integrals of vector fields where the interior of the surface can be easily represented as a triple integral (box, sphere, cylinder).