MATH 260 Homework assignment 8 March 21, px 2yq dy. (c) Where C is the part of the line y x, parametrized any way you like.

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

16.2. Line Integrals

Vector Calculus, Maths II

Introduction to Differential Equations

Consequences of Orthogonality

Section 4.3 Vector Fields

2t t dt.. So the distance is (t2 +6) 3/2

2. Second-order Linear Ordinary Differential Equations

Topic 4 Notes Jeremy Orloff

Ordinary Differential Equations (ODEs)

Section 4.7: Variable-Coefficient Equations

Math53: Ordinary Differential Equations Autumn 2004

AMATH 351 Mar 15, 2013 FINAL REVIEW. Instructor: Jiri Najemnik

2 nd order Linear Homogeneous DEs with Non-Constant Coefficients

Lecture 7 - Separable Equations

MA Ordinary Differential Equations

Solutions to old Exam 3 problems

Second-Order Linear ODEs

Arc Length. Philippe B. Laval. Today KSU. Philippe B. Laval (KSU) Arc Length Today 1 / 12

MIDTERM 1 PRACTICE PROBLEM SOLUTIONS

Welcome to Math 104. D. DeTurck. January 16, University of Pennsylvania. D. DeTurck Math A: Welcome 1 / 44

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

Higher-order ordinary differential equations

8.7 MacLaurin Polynomials

Next, we ll use all of the tools we ve covered in our study of trigonometry to solve some equations.

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

CHAPTER 6 VECTOR CALCULUS. We ve spent a lot of time so far just looking at all the different ways you can graph

Strauss PDEs 2e: Section Exercise 4 Page 1 of 6

Solutions to the Final Exam, Math 53, Summer 2012

Advanced Eng. Mathematics

CHAPTER 2. Techniques for Solving. Second Order Linear. Homogeneous ODE s

Series Solutions Near a Regular Singular Point

4B. Line Integrals in the Plane

x 2 y = 1 2. Problem 2. Compute the Taylor series (at the base point 0) for the function 1 (1 x) 3.

Second-Order Homogeneous Linear Equations with Constant Coefficients

Math 233. Practice Problems Chapter 15. i j k

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

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.

MAT 128A - Practice Midterm Exam

Topic 5.1: Line Element and Scalar Line Integrals

Table of contents. d 2 y dx 2, As the equation is linear, these quantities can only be involved in the following manner:

MB4018 Differential equations

dt 2 roots r = 1 and r =,1, thus the solution is a linear combination of e t and e,t. conditions. We havey(0) = c 1 + c 2 =5=4 and dy (0) = c 1 + c

DIFFERENTIAL EQUATIONS COURSE NOTES, LECTURE 2: TYPES OF DIFFERENTIAL EQUATIONS, SOLVING SEPARABLE ODES.

Second Order ODEs. Second Order ODEs. In general second order ODEs contain terms involving y, dy But here only consider equations of the form

Motion in Space Parametric Equations of a Curve

Chapter 12 Overview: Review of All Derivative Rules

Second Order Linear Equations

Lecture 10 - Moment of Inertia

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

4.3 - Linear Combinations and Independence of Vectors

Math 322. Spring 2015 Review Problems for Midterm 2

Systems of Linear ODEs

NOTES WEEK 04 DAY 1 SCOT ADAMS

Chapter 3. Reading assignment: In this chapter we will cover Sections dx 1 + a 0(x)y(x) = g(x). (1)

MATH 221: SOLUTIONS TO SELECTED HOMEWORK PROBLEMS

Algebra and functions; coordinate geometry in the (x, y) plane; sequences and series; differentiation; integration; vectors.

Introduction to Algebraic and Geometric Topology Week 14

MATH 0350 PRACTICE FINAL FALL 2017 SAMUEL S. WATSON. a c. b c.

The Theory of Second Order Linear Differential Equations 1 Michael C. Sullivan Math Department Southern Illinois University

On linear and non-linear equations.(sect. 2.4).

MATH 353 LECTURE NOTES: WEEK 1 FIRST ORDER ODES

Lecture 10. (2) Functions of two variables. Partial derivatives. Dan Nichols February 27, 2018

1.4 Techniques of Integration

AN INTRODUCTION TO CURVILINEAR ORTHOGONAL COORDINATES

Lecture 9. Systems of Two First Order Linear ODEs

Math 2414 Activity 1 (Due by end of class July 23) Precalculus Problems: 3,0 and are tangent to the parabola axis. Find the other line.

AP Calculus Chapter 9: Infinite Series

VII. Techniques of Integration

MATH 18.01, FALL PROBLEM SET #5 SOLUTIONS (PART II)

Math 3313: Differential Equations Second-order ordinary differential equations

Diff. Eq. App.( ) Midterm 1 Solutions

Newbattle Community High School Higher Mathematics. Key Facts Q&A

MATH H53 : Final exam

18.02 Multivariable Calculus Fall 2007

Ordinary Differential Equations (ODEs)

3.1 Derivative Formulas for Powers and Polynomials

18.02 Multivariable Calculus Fall 2007

Lecture 16. Theory of Second Order Linear Homogeneous ODEs

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

8.3 Partial Fraction Decomposition

Since x + we get x² + 2x = 4, or simplifying it, x² = 4. Therefore, x² + = 4 2 = 2. Ans. (C)

An Overly Simplified and Brief Review of Differential Equation Solution Methods. 1. Some Common Exact Solution Methods for Differential Equations

MATH 3321 Sample Questions for Exam 3. 3y y, C = Perform the indicated operations, if possible: (a) AC (b) AB (c) B + AC (d) CBA

Engineering Mechanics Prof. U. S. Dixit Department of Mechanical Engineering Indian Institute of Technology, Guwahati Kinematics

6.5 Trigonometric Equations

f(x) g(x) = [f (x)g(x) dx + f(x)g (x)dx

dx n a 1(x) dy

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

Math 122 Fall Handout 15: Review Problems for the Cumulative Final Exam

Review Sheet 2 Solutions

MATH 1220 Midterm 1 Thurs., Sept. 20, 2007

The value of a problem is not so much coming up with the answer as in the ideas and attempted ideas it forces on the would be solver I.N.

1 A complete Fourier series solution

(1) Recap of Differential Calculus and Integral Calculus (2) Preview of Calculus in three dimensional space (3) Tools for Calculus 3

MATH 417 Homework 4 Instructor: D. Cabrera Due July 7. z c = e c log z (1 i) i = e i log(1 i) i log(1 i) = 4 + 2kπ + i ln ) cosz = eiz + e iz

ENGI 4430 Line Integrals; Green s Theorem Page 8.01

Methods of Mathematics

MATH Green s Theorem Fall 2016

The linear equations can be classificed into the following cases, from easier to more difficult: 1. Linear: u y. u x

Transcription:

MATH 26 Homework assignment 8 March 2, 23. Evaluate the line integral x 2 y dx px 2yq dy (a) Where is the part of the parabola y x 2 from p, q to p, q, parametrized as x t, y t 2 for t. (b) Where is the part of the parabola y x 2 from p, q to p, q, parametrized as x sin t, y sin 2 t for t π{2. (c) Where is the part of the line y x, parametrized any way you like. (d) Why should you have expected the answers to (a) and (b) to be the same, but (c) to be different? (a) If x t and y t 2 then dx dt and dy 2t dt so the integral becomes: x 2 y dx px 2yq dy t 4 dt pt 2t 2 q2t dt t 4 2t 2 4t 3 dt t5 5 2t 3 3 t4 5 2 3 2 5. (b) If x sin t and y sin 2 t, then t goes from to π 2, and we have dx cos t dt and dy 2 sin t cos t dt. The integral becomes: x 2 y dx px 2yq dy sin 4 t cos t dt psin t 2 sin 2 tq2 sin t cos t dt using the substitution u sin t. u 4 u5 5 psin 4 t 2 sin 2 t 4 sin 3 tq cos t dt 2u 2 4u 3 du 2u 3 3 u4 5 2 3 2 5, (c) The simplest way to parametrize the line is x t, y t for t, so dx dt and dy dt. So we get x 2 y dx px 2yq dy t 3 dt pt 2tq dt t 3 t dt t4 4 t2 2 4 2 4. (d) The answers to (a) and (b) are the same because of independence of parametrization (the same line integral parametrized two different ways), but (c) is a different curve, and the vector field rx 2 y, s 2ys is not conservative.

2 2. alculate F dr where (a) F yi 2xj and is the circle x 2 y 2, traversed counterclockwise starting from p, q, once around. (b) F yi 2xj and is the circle x 2 y 2 4, traversed counterclockwise starting from p, q, once around. (c) F xi 2yj 2xk and is the part of the semicubical parabola given by x t, y t 2, z t 3 starting from p,, q and ending at p,, q. (a) The simplest parametrization would be x cos t, y sin t for t 2π. Then dx sin t dt and dy cos t dt and so 2π 2π F dr y dx 2x dy sin 2 t 2 cos 2 3 t dt cos 2t dt π, 2 2 using the identities cos 2 t 2 2 cos 2t and sin2 t 2 2 sin 2t. (b) This time we let x 2 cos t and y 2 sin t for t 2π, so dx 2 sin t dt and dy 2 cos t dt and so 2π 2π F dr y dx 2x dy 4 sin 2 t 8 cos 2 t dt 2 6 cos 2t dt 4π. The scaling between this part and part (a) makes sense, since F scales linearly and dr also scales linearly so their dot product scales quadratically (so when we make the circle twice as big, the integral gets multiplied by four). (c) We re given a reasonable parametrization so we use it: x t, y t 2 and z t 3 for t, so dx dt, dy 2t dt and dz 3t 2 dt and so t F dr x dx 2y dy 2x dz t 4t 3 6t 3 2 5t 4 dt 3. 2 2 3. Let F be a vector field on R 2 or R 3 whose coefficients are differentiable functions, and let be a smooth curve. Prove that F dr ML, where M is a number such that }Fpxq} M for all x, and L the length of. We can parametrize however we like, so we choose to parametrize by arc length s for a s b. Then dr T ds where T is the unit tangent vector field to and ds is the element of arc length (remember?). Then F dr ds F T }Fpsq}}T} M,

3 since }Fpsq} M for all s. But then b F dr F T ds a b F T ds M b a a ds ML. 4. If F xi yj, compute (a) The work done by F on a particle that moves around the circle x 2 y 2 (b) The outward flux of F through the circle x 2 y 2. (c) Is F a conservative field? If so, find its potential function, i.e., the function ϕ such that ϕ F. (a) For practice, we do this directly: Let x cos t and y sin t for t 2π, then dx sin t dt and dy cos t dt and we get ¾ ¾ 2π Work F dr x dx y dy cos t sin t sin t cos t dt. (b) To calculate flux, we first note that the outward pointing normal vector to the curve is xi (calculate this as n ds i j dt) and, using the parametrization from part (a) we get dx dt dy dt ¾ ¾ Flux F nds x 2 y 2 ds length of 2π. yj (c) F is a conservative field, since F 2 px2 y 2 q. We could have used this fact to conclude that the integral in part (a) is zero without computing it. Oh, Wronski! (Read the trig.alt notes before attempting these problems.) 5. Suppose the two functions y pxq and y 2 pxq are both solutions of the ODE y 2 ppxqy qpxqy. p q Recall from class that the Wronskian of y and y 2 is defined to be the function: W pxq y pxq y 2 pxq y pxq y 2 pxq y pxqy2 pxq y 2pxqy pxq. (a) Show that W satisfies the first-order equation W pw. (b) Solve this equation, and conclude that for any two solutions y and y 2 of (*), either W pxq is zero for all values of x or else W pxq is never zero.

4 (a) The derivative of W is W y y2 2 y2 y 2, so W pw y py2 2 py 2 q y 2py 2 py q. But because y and y 2 are both solutions of (*), we have y 2 py qy and y2 2 py 2 qy 2. Therefore W pw y p qy 2 q y 2 p qy q. (b) The equation W pw is both a separable and a linear equation for W. If we solve it as a linear equation, we learn that W pxq e ³ p. Since the exponential factor is non-zero for all x, we conclude that if then W pxq is zero for all x and if then W pxq for all x. 6. Suppose ypxq is a solution of equation (*) from the previous problem. Find a function vpxq so that the function zpxq vpxqypxq is a solution of an equation of the form z 2 Qpxqz p q i.e., z satisfies an equation without a first-order term. (Hint: If you do it right, you ll have Qpxq qpxq 4 ppxq2 2 p pxq.) This shows that in order to prove general facts about homogeneous, linear, second-order ODEs, we only need to consider equations of the form (**), since any equation of the form (*) can be converted to (**) by this trick. If zpxq vpxqypxq then z v y vy and z 2 v 2 y 2v y vy 2. Therefore z 2 Qpzqz v 2 y 2v y vy 2 Qvy vy 2 2v y pv 2 Qvqy. So y will satisfy the equation y 2 2v v v y 2 Qv y. v We therefore need to choose Q and v so that 2v {v p and pv 2 Qvq{v q. If we view 2v {v p as a differential equation for v (since p is a known function), we can solve it as a separable equation and learn that 2 ln v ³ p or v e ³ 2 p. Since we already know that v 2 vp we have that v2 2 pv p vp q 2 p 2 vp2 vp q 2 vp 2 p2 p q. To find Q, we solve the equation pv 2 Qvq{v q algebraically and get Q q v 2 {v q 4 p2 2 p, using the expression for v 2 from the preceding paragraph. Therefore, y is a solution of y 2 py qy if (and only if) z vy is a solution of z 2 Qz for Q q 4 p2 2 p, which is what we were trying to show. 7. Now let z be a non-trivial (i.e., not identically zero) solution of (**), where Qpxq for all x. Show (by basic calculus arguments) that there is at most one value of x for which zpxq. If there are no values of x for which zpxq then we are already done. If there is one, say x x, then note that any solution of (**) with zpx q is a constant multiple of the specific one

5 that satisfies the initial conditions zpx q, z px q (by the uniqueness theorem for initial-value problems). So we need only prove that the solution of the problem z 2 Qpxqz zpx q z px q is never zero for x x. First, consider the case x x. We ll prove that zpxq. We ll work by contradiction: If there were a value of x bigger than x for which zpxq then there must be a point x x with x x x such that z px q (by the mean-value theorem, which guarantees the existence of such an x satisfying z px q zpxq zpx q x x. Next, since z px q and z px q, the set of points tx x x x and z pxq u is non-empty. This set is also closed and so has a minimum. Let x 2 be the smallest value of x between x and x where z pxq. Therefore we know that z pxq for x x x 2. We can conclude that zpxq for x x x 2 (again by the mean-value theorem) and then the differential equation tells us that z 2 pxq Qpxqzpxq for x x x 2 since Qpxq and zpxq. However, the mean-value theorem also tells us that there would be a point x 3 with x x 3 x 2 with z 2 px 3 q z px 2 q z px q x 2 x x 2 x which contradicts our earlier conclusion that z 2 pxq for all x x x 2. Therefore our assumption was faulty and we have proved that there is no point x x where zpxq. The proof for the case where x x is similar. 8. What happens if Qpxq? More on this next week, but you can see that the situation might be complicated from the following example: Solve the (auchy-euler) equation z 2 k x 2 z and show that every nontrivial solution of has an infinite number of zeroes (like sines and cosines do) if k {4, but only a finite number (how many are possible?) if k {4. What if k {4? Since the coefficient k{x 2 in this problem becomes singular for x, we consider solutions defined only for x. and d 2 z dx 2 To solve auchy-euler equations, let x e u, so u ln x. By the chain rule: d dx dz dx d dx x dz du x 2 dz du dz dz du dz dx du dx x du d x du dz du dz du dx x 2 du x d 2 z d 2 z dz du 2 x x 2 du 2 du

6 Substitute these into the equation to get z 2 k x 2 z x 2 d 2 z du 2 dz du k x 2 z d 2 z dz x 2 du 2 du kz. Therefore zpuq satisfies the constant-coefficient equation d 2 z dz du 2 du kz. The characteristic equation for this is r 2 r there are three cases: k, which has solutions r 2 p? 4kq and If k {4 then the the two values of r are real and the solution is For x this is z c e 2 p? 4kqu c 2 e 2 p? 4kqu c x 2 p? 4kq c2 x 2 p? 4kq. whose only positive zero is z x 2 p? 4kq pc x? 4k x? {p 4kq c2 if c and c 2 have opposite signs, and otherwise there are no positive zeros. If k {4 then r {2 is a double root of the characteristic equation and we have c z c e 2 u c 2 ue 2 u c? x c2? x ln x? xpc c 2 ln xq whose single positive zero occurs at x e c{c2. If k {4 then 4k is negative so the roots of the characteristic equation are complex: r 2 p a p4k qq 2 p i? 4k q. So the solution is?4k z c e 2 u cos u c 2 q?4k c 2 e 2 u sin u??4k x c cos ln x?4k c 2 sin ln x Since the u-version of the function has infinitely many zeros, spaced π{? 4k apart, the x version has infinitely many positive zeros at the exponentials of the u zeros.