Motivation: Fundamental Theorems of Vector Calculus
|
|
- Augustine Rose
- 7 years ago
- Views:
Transcription
1 Motivation: Fundamental Theorems of Vector Calculus Our goal as we close out the semester is to give several Fundamental Theorem of Calculus -type theorems which relate volume integrals of derivatives on a given domain to line and surface integrals about the boundary of the domain. The general form of these theorems, which we collectively call the fundamental theorems of vector calculus, is the following: The integral of a derivative-type object on a given domain D may be computed using only the function values along the boundary of D.
2 Motivation: Fundamental Theorems of Vector Calculus As an overview, we will roughly and informally summarize the content of the fundamental theorems of vector calculus. First let s start with the ones we have already seen: 1. FTC: An area integral of the form b a f (x)dx may be computed by evaluating f at the boundary points a and b of the 1-dimensional domain interval [a, b].
3 Motivation: Fundamental Theorems of Vector Calculus As an overview, we will roughly and informally summarize the content of the fundamental theorems of vector calculus. First let s start with the ones we have already seen: 1. FTC: An area integral of the form b a f (x)dx may be computed by evaluating f at the boundary points a and b of the 1-dimensional domain interval [a, b]. 2. Fundamental Theorem for Conservative Vector Fields: A line integral of the form C Vds may be computed by evaluating V at the boundary points of the 1-dimensional parametrized curve domain C.
4 Fundamental Theorems of Vector Calculus, contd. Now here are the new ones. 1. Green s Theorem: A volume integral of the form ( ) δf2 D δx δf1 d(x, y) δy may be computed by line integrating F = (F 1, F 2) along the boundary of the 2-dimensional domain D.
5 Fundamental Theorems of Vector Calculus, contd. Now here are the new ones. 1. Green s Theorem: A volume integral of the form ( ) δf2 D δx δf1 d(x, y) δy may be computed by line integrating F = (F 1, F 2) along the boundary of the 2-dimensional domain D. 2. Stokes Theorem: A surface integral of the form S curl( F )ds may be computed by line integrating F along the boundary of the 2-dimensional domain S. Note: The curl of F is a derivative-type object we will define later.
6 Fundamental Theorems of Vector Calculus, contd. Now here are the new ones. 1. Green s Theorem: A volume integral of the form ( ) δf2 D δx δf1 d(x, y) δy may be computed by line integrating F = (F 1, F 2) along the boundary of the 2-dimensional domain D. 2. Stokes Theorem: A surface integral of the form S curl( F )ds may be computed by line integrating F along the boundary of the 2-dimensional domain S. Note: The curl of F is a derivative-type object we will define later. 3. Divergence Theorem: A volume integral of the form W div( F )d(x, y, z) may be computed by surface integrating F along the boundary of the 3-dimensional domain W. Note: The divergence of F is another soon-to-be-introduced derivative-type object.
7 Definitions and Terminology Definition Let D be a region in R 2. Recall that a point (x, y) is called a boundary point of D if every open disk about (x, y) intersects both D and the exterior of D. Denote the set of all boundary points of D by δd. We call δd the boundary of D.
8 Definitions and Terminology Definition Let D be a region in R 2. Recall that a point (x, y) is called a boundary point of D if every open disk about (x, y) intersects both D and the exterior of D. Denote the set of all boundary points of D by δd. We call δd the boundary of D. Suppose C may be parametrized by a continuous one-to-one R 2 -valued function c with domain [a, b], where c(a) = c(b). Then we call C a simple closed curve.
9 Definitions and Terminology Definition Let D be a region in R 2. Recall that a point (x, y) is called a boundary point of D if every open disk about (x, y) intersects both D and the exterior of D. Denote the set of all boundary points of D by δd. We call δd the boundary of D. Suppose C may be parametrized by a continuous one-to-one R 2 -valued function c with domain [a, b], where c(a) = c(b). Then we call C a simple closed curve. If δd is a simple closed curve, then we choose to orient δd in the counterclockwise direction. This is called the boundary orientation.
10 Green s Theorem Theorem (Green s Theorem) Let D be a domain whose boundary δd is a simple closed curve. Let F = (F 1, F 2 ) be a vector field over R 2. Then δd F ds = D ( δf2 δx δf ) 1 d(x, y). δy
11 Example Verify Green s theorem for the line integral C (xy 2, x) ds about the unit circle C.
12 Example Verify Green s theorem for the line integral C (xy 2, x) ds about the unit circle C. If (F 1, F 2 ) = (xy 2, x), then δf 2 δx δf 1 δy = 1 2xy 2, and hence we are being asked to show that C(xy 2, x) ds = R (1 2xy)d(x, y), where R is the interior of the unit circle.
13 Solution: The Line Integral Goal: (xy 2, x) ds = (1 2xy)d(x, y) C R
14 Solution: The Line Integral Goal: (xy 2, x) ds = (1 2xy)d(x, y) C R We start with the line integral on the left. Parametrize C by We have c (t) = ( sin t, cos t). c(t) = (cos t, sin t) for 0 t 2π.
15 Solution: The Line Integral Goal: (xy 2, x) ds = (1 2xy)d(x, y) C R We start with the line integral on the left. Parametrize C by We have c (t) = ( sin t, cos t). Now compute: C (xy 2, x) ds = c(t) = (cos t, sin t) for 0 t 2π. = 2π 0 2π 0 (cos t sin 2 t, sin t) ( sin t, cos t)dt ( cos t sin 3 t + cos 2 t)dt = [ 14 sin4 t + 12 t + 14 ] 2π sin(2t) = (0 + π + 0) ( ) = π. 0
16 Solution: The Volume Integral Goal: C (xy 2, x) ds = R (1 2xy)d(x, y) Known: C (xy 2, x) ds = π
17 Solution: The Volume Integral Goal: (xy 2, x) ds = (1 2xy)d(x, y) C R Known: (xy 2, x) ds = π C Now we compute the integral on the right and hope we get π:
18 Solution: The Volume Integral Goal: (xy 2, x) ds = (1 2xy)d(x, y) C R Known: (xy 2, x) ds = π C Now we compute the integral on the right and hope we get π: R (1 2xy)d(x, y) = So Green s theorem is true in this case! = = x 2 (1 2xy)dydx 1 x 2 [y xy 2 1 x ] 2 y= 2 1 x 2 dx = [2 arcsin x] 1 1 = π. 1 x 2
19 Example Compute the circulation of F = (sin x, x 2 y 3 ) about the path C = δd, where D is the triangle with vertices (0, 0), (2, 0), and (2, 2).
20 Example Compute the circulation of F = (sin x, x 2 y 3 ) about the path C = δd, where D is the triangle with vertices (0, 0), (2, 0), and (2, 2). Solution. Computing the circulation might be tedious in this case, as we would need to parametrize the three sides of the triangle separately. So we appeal to Green s theorem instead.
21 Example Compute the circulation of F = (sin x, x 2 y 3 ) about the path C = δd, where D is the triangle with vertices (0, 0), (2, 0), and (2, 2). Solution. Computing the circulation might be tedious in this case, as we would need to parametrize the three sides of the triangle separately. So we appeal to Green s theorem instead. The interior of the triangle is bounded below by y = 0 and above by y = x, and on the left and right by y = 0 and y = 2. Check that δf 2 δx = 2xy 3 and δf 1 δy = 0.
22 Example Compute the circulation of F = (sin x, x 2 y 3 ) about the path C = δd, where D is the triangle with vertices (0, 0), (2, 0), and (2, 2). Solution. Computing the circulation might be tedious in this case, as we would need to parametrize the three sides of the triangle separately. So we appeal to Green s theorem instead. The interior of the triangle is bounded below by y = 0 and above by y = x, and on the left and right by y = 0 and y = 2. Check that δf 2 δx = 2xy 3 and δf 1 δy = 0. So by Green s theorem we get: δd (sin x, x 2 y 3 ) ds = (2xy 3 0)d(x, y) D 2 x = 2xy 3 dydx = [ xy 4 ] x y=0 dx = 1 2 x 5 dx 2 0 = = 16 3.
23 Corollary (Area Formula) Let D be a region in R 2 and assume C = δd is a simple closed curve. Then the area of D is equal to 1 2 ( y, x) ds. C
24 Corollary (Area Formula) Let D be a region in R 2 and assume C = δd is a simple closed curve. Then the area of D is equal to 1 2 ( y, x) ds. C Proof. Set F = (F 1, F 2 ) = 1 δf2 2 ( y, x) and check that δx δf1 δy = 1 2 ( 1 2 ) = 1. Now apply Green s theorem: Area of D = 1d(x, y) D = ( δf 2 D δx δf 1 )d(x, y) δy = F ds C = 1 ( y, x) ds. 2 C
25 Some Quick Terminology We wish to give some indications toward the proof of Green s Theorem. For this we need a little more notation and a lemma.
26 Some Quick Terminology We wish to give some indications toward the proof of Green s Theorem. For this we need a little more notation and a lemma. Definition Let F = (F 1, F 2 ) be a vector field over R 2 and let c(t) = (x(t), y(t)) be a smooth parametrization of a curve in R 2 with domain [a, b]. Define the x- and y-components of the vector field line integral of F over C to be, respectively, C F 1dx = b a F 1( c(t))x (t)dt C F 2dy = b a F 2( c(t))y (t)dt.
27 Some Quick Terminology We wish to give some indications toward the proof of Green s Theorem. For this we need a little more notation and a lemma. Definition Let F = (F 1, F 2 ) be a vector field over R 2 and let c(t) = (x(t), y(t)) be a smooth parametrization of a curve in R 2 with domain [a, b]. Define the x- and y-components of the vector field line integral of F over C to be, respectively, C F 1dx = b a F 1( c(t))x (t)dt C F 2dy = b a F 2( c(t))y (t)dt. It follows from the definitions that b F ds = (F 1 ( c(t)), F 2 ( c(t))) (x (t), y (t))dt C a = F 1 dx + F 2 dy. C C
28 Some Quick Terminology We wish to give some indications toward the proof of Green s Theorem. For this we need a little more notation and a lemma. Definition Let F = (F 1, F 2 ) be a vector field over R 2 and let c(t) = (x(t), y(t)) be a smooth parametrization of a curve in R 2 with domain [a, b]. Define the x- and y-components of the vector field line integral of F over C to be, respectively, C F 1dx = b a F 1( c(t))x (t)dt C F 2dy = b a F 2( c(t))y (t)dt. It follows from the definitions that b F ds = (F 1 ( c(t)), F 2 ( c(t))) (x (t), y (t))dt C a = F 1 dx + F 2 dy. C C Lemma The values of the x- and y-components of a vector field line integral are independent of the choice of parametrization c.
29 Proof of a Special Case of Green s Theorem Goal: Show δd F ds = D ( δf2 δx δf ) 1 d(x, y). δy We are unable to give a proof of Green s theorem in its full generality, but we can prove it if we make the following very special simplifying assumptions: the boundary δd may be described as the union of two graphs of the form y = T (x) with B(x) T (x) for a x b; and δd may also be described as the union of two graphs of the form x = L(y) and x = R(y) with L(y) R(y) for c y d. (Picture on whiteboard!)
30 Proof of a Special Case, contd. Goal: Show δd F ds = D ( δf2 δx δf ) 1 d(x, y). δy In order to observe Green s theorem, we will break it up into two parts. Since F ds = δd δd F 1dx + δd F 2dy, it suffices for us to show the following two equalities: δf 1 d(x, y) δd F 1dx = D δd F 2dy = D δf 2 δx δy d(x, y).
31 Proof of a Special Case, contd. Goal: Show δd F ds = D ( δf2 δx δf ) 1 d(x, y). δy In order to observe Green s theorem, we will break it up into two parts. Since F ds = δd δd F 1dx + δd F 2dy, it suffices for us to show the following two equalities: δf 1 d(x, y) δd F 1dx = D δd F 2dy = D δf 2 δx δy d(x, y). We begin by parametrizing the bottom C 1 and top C 2 of δd. C 1 : c 1 (t) = (x 1 (t), y 1 (t)) = (t, B(t)) C 2 : c 2 (t) = (x 2 (t), y 2 (t)) = (t, T (t)) Note c 1 traverses C 1 along the boundary orientation but c 2 goes clockwise, i.e. c 2 parametrizes C 2.
32 Proof of a Special Case, contd. Mid-Goal: Show that δd F1dx = D δf 1 d(x, y) δy
33 Proof of a Special Case, contd. Mid-Goal: Show that δd F1dx = D Now we compute D D δf 1 d(x, y) = δy δf 1 d(x, y). δy = b T (x) a b a b B(x) δf 1 d(x, y) δy δf 1 δy dydx [F 1(x, T (x)) F 1(x, B(x))]dx = F 1(c 2(t))x 2(t)dt a = F 1dx F 1dx C 2 C 1 = F 1dx. This completes the proof of the mid-goal. δd b a F 1(c 1(t))x 1(t)dt
34 Proof of a Special Case, contd. Mid-Goal: Show that δd F2dy = D δf 2 d(x, y) δx
35 Proof of a Special Case, contd. Mid-Goal: Show that δd F2dy = D δf 2 d(x, y) δx Now let C 3 and C 4 denote the left and right boundaries, and parametrize again: C 3: c 3(t) = (x 3(t), y 3(t)) = (L(t), t) C 4: c 4(t) = (x 4(t), y 4(t)) = (R(t), t). This time c 3 parametrizes C 3 but c 4 parametrizes C 4.
36 Proof of a Special Case, contd. Mid-Goal: Show that δd F2dy = D δf 2 d(x, y) δx Now let C 3 and C 4 denote the left and right boundaries, and parametrize again: C 3: c 3(t) = (x 3(t), y 3(t)) = (L(t), t) C 4: c 4(t) = (x 4(t), y 4(t)) = (R(t), t). This time c 3 parametrizes C 3 but c 4 parametrizes C 4. D δf d 2 d(x, y) = δx = c d c d R(y) L(y) δf 2 δx dxdy F 2(R(y), y)dy d = F 2( c 4(t))y 4(t)dt c = F 2dy F 2dy C 4 C 3 = F 2dy. δd c d c F 2(L(y), y)dy F 2( c 3(t))y 3(t)dt
37 Proof of a Special Case, contd. We conclude by observing that, as promised: δd F ds = F 1 dx + F 2 dy δd δd δf 1 δf 2 = d(x, y) + d(x, y) D δy D δx ( δf2 = δx δf ) 1 d(x, y). δy D
Fundamental Theorems of Vector Calculus
Fundamental Theorems of Vector Calculus We have studied the techniques for evaluating integrals over curves and surfaces. In the case of integrating over an interval on the real line, we were able to use
More informationChapter 17. Review. 1. Vector Fields (Section 17.1)
hapter 17 Review 1. Vector Fields (Section 17.1) There isn t much I can say in this section. Most of the material has to do with sketching vector fields. Please provide some explanation to support your
More informationIf Σ is an oriented surface bounded by a curve C, then the orientation of Σ induces an orientation for C, based on the Right-Hand-Rule.
Oriented Surfaces and Flux Integrals Let be a surface that has a tangent plane at each of its nonboundary points. At such a point on the surface two unit normal vectors exist, and they have opposite directions.
More informationSolutions for Review Problems
olutions for Review Problems 1. Let be the triangle with vertices A (,, ), B (4,, 1) and C (,, 1). (a) Find the cosine of the angle BAC at vertex A. (b) Find the area of the triangle ABC. (c) Find a vector
More informationThis makes sense. t 2 1 + 1/t 2 dt = 1. t t 2 + 1dt = 2 du = 1 3 u3/2 u=5
1. (Line integrals Using parametrization. Two types and the flux integral) Formulas: ds = x (t) dt, d x = x (t)dt and d x = T ds since T = x (t)/ x (t). Another one is Nds = T ds ẑ = (dx, dy) ẑ = (dy,
More informationSolutions to Practice Problems for Test 4
olutions to Practice Problems for Test 4 1. Let be the line segmentfrom the point (, 1, 1) to the point (,, 3). Evaluate the line integral y ds. Answer: First, we parametrize the line segment from (, 1,
More information3 Contour integrals and Cauchy s Theorem
3 ontour integrals and auchy s Theorem 3. Line integrals of complex functions Our goal here will be to discuss integration of complex functions = u + iv, with particular regard to analytic functions. Of
More informationSolutions - Homework sections 17.7-17.9
olutions - Homework sections 7.7-7.9 7.7 6. valuate xy d, where is the triangle with vertices (,, ), (,, ), and (,, ). The three points - and therefore the triangle between them - are on the plane x +
More informationFINAL EXAM SOLUTIONS Math 21a, Spring 03
INAL EXAM SOLUIONS Math 21a, Spring 3 Name: Start by printing your name in the above box and check your section in the box to the left. MW1 Ken Chung MW1 Weiyang Qiu MW11 Oliver Knill h1 Mark Lucianovic
More informationVector Calculus Solutions to Sample Final Examination #1
Vector alculus s to Sample Final Examination #1 1. Let f(x, y) e xy sin(x + y). (a) In what direction, starting at (,π/), is f changing the fastest? (b) In what directions starting at (,π/) is f changing
More informationSolutions to Homework 10
Solutions to Homework 1 Section 7., exercise # 1 (b,d): (b) Compute the value of R f dv, where f(x, y) = y/x and R = [1, 3] [, 4]. Solution: Since f is continuous over R, f is integrable over R. Let x
More informationMath 21a Curl and Divergence Spring, 2009. 1 Define the operator (pronounced del ) by. = i
Math 21a url and ivergence Spring, 29 1 efine the operator (pronounced del by = i j y k z Notice that the gradient f (or also grad f is just applied to f (a We define the divergence of a vector field F,
More informationMath 241, Exam 1 Information.
Math 241, Exam 1 Information. 9/24/12, LC 310, 11:15-12:05. Exam 1 will be based on: Sections 12.1-12.5, 14.1-14.3. The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/241fa12/241.html)
More informationDifferentiation of vectors
Chapter 4 Differentiation of vectors 4.1 Vector-valued functions In the previous chapters we have considered real functions of several (usually two) variables f : D R, where D is a subset of R n, where
More informationMATH 425, PRACTICE FINAL EXAM SOLUTIONS.
MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator
More informationGRAPHING IN POLAR COORDINATES SYMMETRY
GRAPHING IN POLAR COORDINATES SYMMETRY Recall from Algebra and Calculus I that the concept of symmetry was discussed using Cartesian equations. Also remember that there are three types of symmetry - y-axis,
More informationFeb 28 Homework Solutions Math 151, Winter 2012. Chapter 6 Problems (pages 287-291)
Feb 8 Homework Solutions Math 5, Winter Chapter 6 Problems (pages 87-9) Problem 6 bin of 5 transistors is known to contain that are defective. The transistors are to be tested, one at a time, until the
More informationSection 13.5 Equations of Lines and Planes
Section 13.5 Equations of Lines and Planes Generalizing Linear Equations One of the main aspects of single variable calculus was approximating graphs of functions by lines - specifically, tangent lines.
More informationF = 0. x ψ = y + z (1) y ψ = x + z (2) z ψ = x + y (3)
MATH 255 FINAL NAME: Instructions: You must include all the steps in your derivations/answers. Reduce answers as much as possible, but use exact arithmetic. Write neatly, please, and show all steps. Scientists
More informationM PROOF OF THE DIVERGENCE THEOREM AND STOKES THEOREM
68 Theor Supplement Section M M POOF OF THE DIEGENE THEOEM ND STOKES THEOEM In this section we give proofs of the Divergence Theorem Stokes Theorem using the definitions in artesian coordinates. Proof
More information88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a
88 CHAPTER. VECTOR FUNCTIONS.4 Curvature.4.1 Definitions and Examples The notion of curvature measures how sharply a curve bends. We would expect the curvature to be 0 for a straight line, to be very small
More information1.(6pts) Find symmetric equations of the line L passing through the point (2, 5, 1) and perpendicular to the plane x + 3y z = 9.
.(6pts Find symmetric equations of the line L passing through the point (, 5, and perpendicular to the plane x + 3y z = 9. (a x = y + 5 3 = z (b x (c (x = ( 5(y 3 = z + (d x (e (x + 3(y 3 (z = 9 = y 3
More informationCONSERVATION LAWS. See Figures 2 and 1.
CONSERVATION LAWS 1. Multivariable calculus 1.1. Divergence theorem (of Gauss). This states that the volume integral in of the divergence of the vector-valued function F is equal to the total flux of F
More informationParametric Curves. (Com S 477/577 Notes) Yan-Bin Jia. Oct 8, 2015
Parametric Curves (Com S 477/577 Notes) Yan-Bin Jia Oct 8, 2015 1 Introduction A curve in R 2 (or R 3 ) is a differentiable function α : [a,b] R 2 (or R 3 ). The initial point is α[a] and the final point
More informationvector calculus 2 Learning outcomes
29 ontents vector calculus 2 1. Line integrals involving vectors 2. Surface and volume integrals 3. Integral vector theorems Learning outcomes In this Workbook you will learn how to integrate functions
More informationSolutions to old Exam 1 problems
Solutions to old Exam 1 problems Hi students! I am putting this old version of my review for the first midterm review, place and time to be announced. Check for updates on the web site as to which sections
More informationMULTIPLE INTEGRALS. h 2 (y) are continuous functions on [c, d] and let f(x, y) be a function defined on R. Then
MULTIPLE INTEGALS 1. ouble Integrals Let be a simple region defined by a x b and g 1 (x) y g 2 (x), where g 1 (x) and g 2 (x) are continuous functions on [a, b] and let f(x, y) be a function defined on.
More informationA QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS
A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors
More informationChapter 2. Parameterized Curves in R 3
Chapter 2. Parameterized Curves in R 3 Def. A smooth curve in R 3 is a smooth map σ : (a, b) R 3. For each t (a, b), σ(t) R 3. As t increases from a to b, σ(t) traces out a curve in R 3. In terms of components,
More informationSection 1.1. Introduction to R n
The Calculus of Functions of Several Variables Section. Introduction to R n Calculus is the study of functional relationships and how related quantities change with each other. In your first exposure to
More informationMAT 1341: REVIEW II SANGHOON BAEK
MAT 1341: REVIEW II SANGHOON BAEK 1. Projections and Cross Product 1.1. Projections. Definition 1.1. Given a vector u, the rectangular (or perpendicular or orthogonal) components are two vectors u 1 and
More informationClass Meeting # 1: Introduction to PDEs
MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u = u(x
More informationAB2.5: Surfaces and Surface Integrals. Divergence Theorem of Gauss
AB2.5: urfaces and urface Integrals. Divergence heorem of Gauss epresentations of surfaces or epresentation of a surface as projections on the xy- and xz-planes, etc. are For example, z = f(x, y), x =
More informationThe Math Circle, Spring 2004
The Math Circle, Spring 2004 (Talks by Gordon Ritter) What is Non-Euclidean Geometry? Most geometries on the plane R 2 are non-euclidean. Let s denote arc length. Then Euclidean geometry arises from the
More informationLS.6 Solution Matrices
LS.6 Solution Matrices In the literature, solutions to linear systems often are expressed using square matrices rather than vectors. You need to get used to the terminology. As before, we state the definitions
More informationMath 1B, lecture 5: area and volume
Math B, lecture 5: area and volume Nathan Pflueger 6 September 2 Introduction This lecture and the next will be concerned with the computation of areas of regions in the plane, and volumes of regions in
More informationSection 8.8. 1. The given line has equations. x = 3 + t(13 3) = 3 + 10t, y = 2 + t(3 + 2) = 2 + 5t, z = 7 + t( 8 7) = 7 15t.
. The given line has equations Section 8.8 x + t( ) + 0t, y + t( + ) + t, z 7 + t( 8 7) 7 t. The line meets the plane y 0 in the point (x, 0, z), where 0 + t, or t /. The corresponding values for x and
More informationLine and surface integrals: Solutions
hapter 5 Line and surface integrals: olutions Example 5.1 Find the work done by the force F(x, y) x 2 i xyj in moving a particle along the curve which runs from (1, ) to (, 1) along the unit circle and
More information4.2. LINE INTEGRALS 1. 2 2 ; z = t. ; y = sin
4.2. LINE INTEGRALS 1 4.2 Line Integrals MATH 294 FALL 1982 FINAL # 7 294FA82FQ7.tex 4.2.1 Consider the curve given parametrically by x = cos t t ; y = sin 2 2 ; z = t a) Determine the work done by the
More information4. Complex integration: Cauchy integral theorem and Cauchy integral formulas. Definite integral of a complex-valued function of a real variable
4. Complex integration: Cauchy integral theorem and Cauchy integral formulas Definite integral of a complex-valued function of a real variable Consider a complex valued function f(t) of a real variable
More informationRAJALAKSHMI ENGINEERING COLLEGE MA 2161 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS PART A
RAJALAKSHMI ENGINEERING COLLEGE MA 26 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS. Solve (D 2 + D 2)y = 0. 2. Solve (D 2 + 6D + 9)y = 0. PART A 3. Solve (D 4 + 4)x = 0 where D = d dt 4. Find Particular Integral:
More informationSection 12.6: Directional Derivatives and the Gradient Vector
Section 26: Directional Derivatives and the Gradient Vector Recall that if f is a differentiable function of x and y and z = f(x, y), then the partial derivatives f x (x, y) and f y (x, y) give the rate
More informationReference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3.
5 Potential Theory Reference: Introduction to Partial Differential Equations by G. Folland, 995, Chap. 3. 5. Problems of Interest. In what follows, we consider Ω an open, bounded subset of R n with C 2
More informationSection 6.1 Joint Distribution Functions
Section 6.1 Joint Distribution Functions We often care about more than one random variable at a time. DEFINITION: For any two random variables X and Y the joint cumulative probability distribution function
More informationORIENTATIONS. Contents
ORIENTATIONS Contents 1. Generators for H n R n, R n p 1 1. Generators for H n R n, R n p We ended last time by constructing explicit generators for H n D n, S n 1 by using an explicit n-simplex which
More informationAlgebra. Exponents. Absolute Value. Simplify each of the following as much as possible. 2x y x + y y. xxx 3. x x x xx x. 1. Evaluate 5 and 123
Algebra Eponents Simplify each of the following as much as possible. 1 4 9 4 y + y y. 1 5. 1 5 4. y + y 4 5 6 5. + 1 4 9 10 1 7 9 0 Absolute Value Evaluate 5 and 1. Eliminate the absolute value bars from
More informationMark Howell Gonzaga High School, Washington, D.C.
Be Prepared for the Calculus Exam Mark Howell Gonzaga High School, Washington, D.C. Martha Montgomery Fremont City Schools, Fremont, Ohio Practice exam contributors: Benita Albert Oak Ridge High School,
More informationTHREE DIMENSIONAL GEOMETRY
Chapter 8 THREE DIMENSIONAL GEOMETRY 8.1 Introduction In this chapter we present a vector algebra approach to three dimensional geometry. The aim is to present standard properties of lines and planes,
More informationMath Placement Test Practice Problems
Math Placement Test Practice Problems The following problems cover material that is used on the math placement test to place students into Math 1111 College Algebra, Math 1113 Precalculus, and Math 2211
More information8.1 Examples, definitions, and basic properties
8 De Rham cohomology Last updated: May 21, 211. 8.1 Examples, definitions, and basic properties A k-form ω Ω k (M) is closed if dω =. It is exact if there is a (k 1)-form σ Ω k 1 (M) such that dσ = ω.
More informationEquations Involving Lines and Planes Standard equations for lines in space
Equations Involving Lines and Planes In this section we will collect various important formulas regarding equations of lines and planes in three dimensional space Reminder regarding notation: any quantity
More informationExam 1 Sample Question SOLUTIONS. y = 2x
Exam Sample Question SOLUTIONS. Eliminate the parameter to find a Cartesian equation for the curve: x e t, y e t. SOLUTION: You might look at the coordinates and notice that If you don t see it, we can
More informationThe two dimensional heat equation
The two dimensional heat equation Ryan C. Trinity University Partial Differential Equations March 6, 2012 Physical motivation Consider a thin rectangular plate made of some thermally conductive material.
More information1 Error in Euler s Method
1 Error in Euler s Method Experience with Euler s 1 method raises some interesting questions about numerical approximations for the solutions of differential equations. 1. What determines the amount of
More informationFigure 2.1: Center of mass of four points.
Chapter 2 Bézier curves are named after their inventor, Dr. Pierre Bézier. Bézier was an engineer with the Renault car company and set out in the early 196 s to develop a curve formulation which would
More informationIntroduction to Topology
Introduction to Topology Tomoo Matsumura November 30, 2010 Contents 1 Topological spaces 3 1.1 Basis of a Topology......................................... 3 1.2 Comparing Topologies.......................................
More informationMath 2443, Section 16.3
Math 44, Section 6. Review These notes will supplement not replace) the lectures based on Section 6. Section 6. i) ouble integrals over general regions: We defined double integrals over rectangles in the
More informationMath 432 HW 2.5 Solutions
Math 432 HW 2.5 Solutions Assigned: 1-10, 12, 13, and 14. Selected for Grading: 1 (for five points), 6 (also for five), 9, 12 Solutions: 1. (2y 3 + 2y 2 ) dx + (3y 2 x + 2xy) dy = 0. M/ y = 6y 2 + 4y N/
More informationOption Pricing. Chapter 12 - Local volatility models - Stefan Ankirchner. University of Bonn. last update: 13th January 2014
Option Pricing Chapter 12 - Local volatility models - Stefan Ankirchner University of Bonn last update: 13th January 2014 Stefan Ankirchner Option Pricing 1 Agenda The volatility surface Local volatility
More informationPRACTICE FINAL. Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 10cm.
PRACTICE FINAL Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 1cm. Solution. Let x be the distance between the center of the circle
More informationMetric Spaces. Chapter 1
Chapter 1 Metric Spaces Many of the arguments you have seen in several variable calculus are almost identical to the corresponding arguments in one variable calculus, especially arguments concerning convergence
More information( 1)2 + 2 2 + 2 2 = 9 = 3 We would like to make the length 6. The only vectors in the same direction as v are those
1.(6pts) Which of the following vectors has the same direction as v 1,, but has length 6? (a), 4, 4 (b),, (c) 4,, 4 (d), 4, 4 (e) 0, 6, 0 The length of v is given by ( 1) + + 9 3 We would like to make
More information4. Expanding dynamical systems
4.1. Metric definition. 4. Expanding dynamical systems Definition 4.1. Let X be a compact metric space. A map f : X X is said to be expanding if there exist ɛ > 0 and L > 1 such that d(f(x), f(y)) Ld(x,
More information1 if 1 x 0 1 if 0 x 1
Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or
More informationSection 11.4: Equations of Lines and Planes
Section 11.4: Equations of Lines and Planes Definition: The line containing the point ( 0, 0, 0 ) and parallel to the vector v = A, B, C has parametric equations = 0 + At, = 0 + Bt, = 0 + Ct, where t R
More informationTOPIC 4: DERIVATIVES
TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the
More informationCOMMUTATIVE RINGS. Definition: A domain is a commutative ring R that satisfies the cancellation law for multiplication:
COMMUTATIVE RINGS Definition: A commutative ring R is a set with two operations, addition and multiplication, such that: (i) R is an abelian group under addition; (ii) ab = ba for all a, b R (commutative
More informationAngles and Quadrants. Angle Relationships and Degree Measurement. Chapter 7: Trigonometry
Chapter 7: Trigonometry Trigonometry is the study of angles and how they can be used as a means of indirect measurement, that is, the measurement of a distance where it is not practical or even possible
More informationGeneral Theory of Differential Equations Sections 2.8, 3.1-3.2, 4.1
A B I L E N E C H R I S T I A N U N I V E R S I T Y Department of Mathematics General Theory of Differential Equations Sections 2.8, 3.1-3.2, 4.1 Dr. John Ehrke Department of Mathematics Fall 2012 Questions
More informationON CERTAIN DOUBLY INFINITE SYSTEMS OF CURVES ON A SURFACE
i93 c J SYSTEMS OF CURVES 695 ON CERTAIN DOUBLY INFINITE SYSTEMS OF CURVES ON A SURFACE BY C H. ROWE. Introduction. A system of co 2 curves having been given on a surface, let us consider a variable curvilinear
More informationM-Degrees of Quadrangle-Free Planar Graphs
M-Degrees of Quadrangle-Free Planar Graphs Oleg V. Borodin, 1 Alexandr V. Kostochka, 1,2 Naeem N. Sheikh, 2 and Gexin Yu 3 1 SOBOLEV INSTITUTE OF MATHEMATICS NOVOSIBIRSK 630090, RUSSIA E-mail: brdnoleg@math.nsc.ru
More informationLet H and J be as in the above lemma. The result of the lemma shows that the integral
Let and be as in the above lemma. The result of the lemma shows that the integral ( f(x, y)dy) dx is well defined; we denote it by f(x, y)dydx. By symmetry, also the integral ( f(x, y)dx) dy is well defined;
More informationCollege of the Holy Cross, Spring 2009 Math 373, Partial Differential Equations Midterm 1 Practice Questions
College of the Holy Cross, Spring 29 Math 373, Partial Differential Equations Midterm 1 Practice Questions 1. (a) Find a solution of u x + u y + u = xy. Hint: Try a polynomial of degree 2. Solution. Use
More informationReview Sheet for Test 1
Review Sheet for Test 1 Math 261-00 2 6 2004 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
More information10 Polar Coordinates, Parametric Equations
Polar Coordinates, Parametric Equations ½¼º½ ÈÓÐ Ö ÓÓÖ Ò Ø Coordinate systems are tools that let us use algebraic methods to understand geometry While the rectangular (also called Cartesian) coordinates
More informationSystems with Persistent Memory: the Observation Inequality Problems and Solutions
Chapter 6 Systems with Persistent Memory: the Observation Inequality Problems and Solutions Facts that are recalled in the problems wt) = ut) + 1 c A 1 s ] R c t s)) hws) + Ks r)wr)dr ds. 6.1) w = w +
More informationAP Calculus BC 2006 Free-Response Questions
AP Calculus BC 2006 Free-Response Questions The College Board: Connecting Students to College Success The College Board is a not-for-profit membership association whose mission is to connect students to
More informationConsumer Theory. The consumer s problem
Consumer Theory The consumer s problem 1 The Marginal Rate of Substitution (MRS) We define the MRS(x,y) as the absolute value of the slope of the line tangent to the indifference curve at point point (x,y).
More informationMATH 2433-12631. http://www.math.uh.edu/ ajajoo/math2433
MATH 2433-12631 Aarti Jajoo ajajoo@math.uh.edu Office : PGH 606 Lecture : MoWeFre 10-11am in SR 116 Office hours : MW 11:30-12:30pm and BY APPOINTMENT http://www.math.uh.edu/ ajajoo/math2433 A. Jajoo,
More informationSection 4.4. Using the Fundamental Theorem. Difference Equations to Differential Equations
Difference Equations to Differential Equations Section 4.4 Using the Fundamental Theorem As we saw in Section 4.3, using the Fundamental Theorem of Integral Calculus reduces the problem of evaluating a
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationReadings this week. 1 Parametric Equations Supplement. 2 Section 10.1. 3 Sections 2.1-2.2. Professor Christopher Hoffman Math 124
Readings this week 1 Parametric Equations Supplement 2 Section 10.1 3 Sections 2.1-2.2 Precalculus Review Quiz session Thursday equations of lines and circles worksheet available at http://www.math.washington.edu/
More informationHøgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver
Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: chechkin@mech.math.msu.su Narvik 6 PART I Task. Consider two-point
More informationThe Heat Equation. Lectures INF2320 p. 1/88
The Heat Equation Lectures INF232 p. 1/88 Lectures INF232 p. 2/88 The Heat Equation We study the heat equation: u t = u xx for x (,1), t >, (1) u(,t) = u(1,t) = for t >, (2) u(x,) = f(x) for x (,1), (3)
More informationContents. 2 Lines and Circles 3 2.1 Cartesian Coordinates... 3 2.2 Distance and Midpoint Formulas... 3 2.3 Lines... 3 2.4 Circles...
Contents Lines and Circles 3.1 Cartesian Coordinates.......................... 3. Distance and Midpoint Formulas.................... 3.3 Lines.................................. 3.4 Circles..................................
More information2.1 Three Dimensional Curves and Surfaces
. Three Dimensional Curves and Surfaces.. Parametric Equation of a Line An line in two- or three-dimensional space can be uniquel specified b a point on the line and a vector parallel to the line. The
More information1. First-order Ordinary Differential Equations
Advanced Engineering Mathematics 1. First-order ODEs 1 1. First-order Ordinary Differential Equations 1.1 Basic concept and ideas 1.2 Geometrical meaning of direction fields 1.3 Separable differential
More informationMA4001 Engineering Mathematics 1 Lecture 10 Limits and Continuity
MA4001 Engineering Mathematics 1 Lecture 10 Limits and Dr. Sarah Mitchell Autumn 2014 Infinite limits If f(x) grows arbitrarily large as x a we say that f(x) has an infinite limit. Example: f(x) = 1 x
More informationBasic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011
Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 A. Miller 1. Introduction. The definitions of metric space and topological space were developed in the early 1900 s, largely
More informationPYTHAGOREAN TRIPLES KEITH CONRAD
PYTHAGOREAN TRIPLES KEITH CONRAD 1. Introduction A Pythagorean triple is a triple of positive integers (a, b, c) where a + b = c. Examples include (3, 4, 5), (5, 1, 13), and (8, 15, 17). Below is an ancient
More informationNumerical Solution of Differential Equations
Numerical Solution of Differential Equations Dr. Alvaro Islas Applications of Calculus I Spring 2008 We live in a world in constant change We live in a world in constant change We live in a world in constant
More informationA characterization of trace zero symmetric nonnegative 5x5 matrices
A characterization of trace zero symmetric nonnegative 5x5 matrices Oren Spector June 1, 009 Abstract The problem of determining necessary and sufficient conditions for a set of real numbers to be the
More informationLines & Planes. Packages: linalg, plots. Commands: evalm, spacecurve, plot3d, display, solve, implicitplot, dotprod, seq, implicitplot3d.
Lines & Planes Introduction and Goals: This lab is simply to give you some practice with plotting straight lines and planes and how to do some basic problem solving with them. So the exercises will be
More information299ReviewProblemSolutions.nb 1. Review Problems. Final Exam: Wednesday, 12/16/2009 1:30PM. Mathematica 6.0 Initializations
99ReviewProblemSolutions.nb Review Problems Final Exam: Wednesday, /6/009 :30PM Mathematica 6.0 Initializations R.) Put x@td = t - and y@td = t -. Sketch on the axes below the curve traced out by 8x@tD,
More informationAP CALCULUS AB 2008 SCORING GUIDELINES
AP CALCULUS AB 2008 SCORING GUIDELINES Question 1 Let R be the region bounded by the graphs of y = sin( π x) and y = x 4 x, as shown in the figure above. (a) Find the area of R. (b) The horizontal line
More informationMathematical Methods of Engineering Analysis
Mathematical Methods of Engineering Analysis Erhan Çinlar Robert J. Vanderbei February 2, 2000 Contents Sets and Functions 1 1 Sets................................... 1 Subsets.............................
More informationReview Solutions MAT V1102. 1. (a) If u = 4 x, then du = dx. Hence, substitution implies 1. dx = du = 2 u + C = 2 4 x + C.
Review Solutions MAT V. (a) If u 4 x, then du dx. Hence, substitution implies dx du u + C 4 x + C. 4 x u (b) If u e t + e t, then du (e t e t )dt. Thus, by substitution, we have e t e t dt e t + e t u
More informationMathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More information