Q. How do you kill a pink elephant? A. Squeeze its trunk until it turns blue, and then shoot it with a blue elephant gun.

Similar documents
Representation of functions as power series

Integrals of Rational Functions

tegrals as General & Particular Solutions

Second Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients. y + p(t) y + q(t) y = g(t), g(t) 0.

The Method of Partial Fractions Math 121 Calculus II Spring 2015

Second Order Linear Partial Differential Equations. Part I

So far, we have looked at homogeneous equations

The one dimensional heat equation: Neumann and Robin boundary conditions

Partial Fractions. (x 1)(x 2 + 1)

Second-Order Linear Differential Equations

A Brief Review of Elementary Ordinary Differential Equations

19.7. Applications of Differential Equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

The Heat Equation. Lectures INF2320 p. 1/88

Second Order Linear Differential Equations

College of the Holy Cross, Spring 2009 Math 373, Partial Differential Equations Midterm 1 Practice Questions

LS.6 Solution Matrices

x 2 + y 2 = 1 y 1 = x 2 + 2x y = x 2 + 2x + 1

The two dimensional heat equation

Inner Product Spaces

Core Maths C1. Revision Notes

SECOND-ORDER LINEAR DIFFERENTIAL EQUATIONS

1 Completeness of a Set of Eigenfunctions. Lecturer: Naoki Saito Scribe: Alexander Sheynis/Allen Xue. May 3, The Neumann Boundary Condition

Recognizing Types of First Order Differential Equations E. L. Lady

1. First-order Ordinary Differential Equations

Vieta s Formulas and the Identity Theorem

An Introduction to Partial Differential Equations

9.2 Summation Notation

5.1 Radical Notation and Rational Exponents

Rational Exponents. Squaring both sides of the equation yields. and to be consistent, we must have

Determine If An Equation Represents a Function

An Introduction to Partial Differential Equations in the Undergraduate Curriculum

Solutions to Homework 10

2.6 Exponents and Order of Operations

CHAPTER 2. Eigenvalue Problems (EVP s) for ODE s

Separable First Order Differential Equations

SIGNAL PROCESSING & SIMULATION NEWSLETTER

To give it a definition, an implicit function of x and y is simply any relationship that takes the form:

Class Meeting # 1: Introduction to PDEs

Math 1526 Consumer and Producer Surplus

Module 1 : Conduction. Lecture 5 : 1D conduction example problems. 2D conduction

Introduction to Complex Fourier Series

3. INNER PRODUCT SPACES

Solving Quadratic Equations

Math 4310 Handout - Quotient Vector Spaces

1 The 1-D Heat Equation

c 2008 Je rey A. Miron We have described the constraints that a consumer faces, i.e., discussed the budget constraint.

y cos 3 x dx y cos 2 x cos x dx y 1 sin 2 x cos x dx

Week 13 Trigonometric Form of Complex Numbers

Math Practice exam 2 - solutions

Series FOURIER SERIES. Graham S McDonald. A self-contained Tutorial Module for learning the technique of Fourier series analysis

3.2 Sources, Sinks, Saddles, and Spirals

Math 432 HW 2.5 Solutions

2.2 Magic with complex exponentials

Solutions to Linear First Order ODE s

Lies My Calculator and Computer Told Me

Discrete Mathematics: Homework 7 solution. Due:

1 Lecture: Integration of rational functions by decomposition

The Basics of Interest Theory

How To Solve A Linear Dierential Equation

Scientific Programming

Linear and quadratic Taylor polynomials for functions of several variables.

6 Further differentiation and integration techniques

Math Assignment 6

Partial Fractions: Undetermined Coefficients

Solving DEs by Separation of Variables.

Properties of Legendre Polynomials

A First Course in Elementary Differential Equations. Marcel B. Finan Arkansas Tech University c All Rights Reserved

Elementary Differential Equations and Boundary Value Problems. 10th Edition International Student Version

Numerical Methods for Differential Equations

Year 9 set 1 Mathematics notes, to accompany the 9H book.

Reducibility of Second Order Differential Operators with Rational Coefficients

ENCOURAGING THE INTEGRATION OF COMPLEX NUMBERS IN UNDERGRADUATE ORDINARY DIFFERENTIAL EQUATIONS

The continuous and discrete Fourier transforms

No Solution Equations Let s look at the following equation: 2 +3=2 +7

Techniques of Integration

3 Contour integrals and Cauchy s Theorem

ECG590I Asset Pricing. Lecture 2: Present Value 1

2 Integrating Both Sides

Pigeonhole Principle Solutions

Introduction to Schrödinger Equation: Harmonic Potential

7. DYNAMIC LIGHT SCATTERING 7.1 First order temporal autocorrelation function.

ORDINARY DIFFERENTIAL EQUATIONS

POLYNOMIAL FUNCTIONS

HW6 Solutions. MATH 20D Fall 2013 Prof: Sun Hui TA: Zezhou Zhang (David) November 14, Checklist: Section 7.8: 1c, 2, 7, 10, [16]

I. Pointwise convergence

The Quantum Harmonic Oscillator Stephen Webb

ab = c a If the coefficients a,b and c are real then either α and β are real or α and β are complex conjugates

COMPLEX NUMBERS. a bi c di a c b d i. a bi c di a c b d i For instance, 1 i 4 7i i 5 6i

Taylor and Maclaurin Series

1 Review of Newton Polynomials

SAT Math Facts & Formulas Review Quiz

MATH 425, PRACTICE FINAL EXAM SOLUTIONS.

Calculus 1: Sample Questions, Final Exam, Solutions

Coin Flip Questions. Suppose you flip a coin five times and write down the sequence of results, like HHHHH or HTTHT.

36 CHAPTER 1. LIMITS AND CONTINUITY. Figure 1.17: At which points is f not continuous?

Understanding Poles and Zeros

1 Inner Products and Norms on Real Vector Spaces

2.1. Inductive Reasoning EXAMPLE A

Applications of Second-Order Differential Equations

Mathematics Pre-Test Sample Questions A. { 11, 7} B. { 7,0,7} C. { 7, 7} D. { 11, 11}

Transcription:

Inhomogeneous problems Q. How do you kill a blue elephant? A. With a blue elephant gun Q. How do you kill a pink elephant? A. Squeeze its trunk until it turns blue, and then shoot it with a blue elephant gun. Q. How do you kill a white elephant? A. Tickle it pink, then squeeze its trunk until it turns blue, and then shoot it with a blue elephant gun. Q. How do you kill a yellow elephant? A. Who s ever heard of a yellow elephant? Up to now, we ve dealt almost exclusively with problems for the wave and heat equations where the equations themselves and the boundary conditions are homogeneous. So a typical heat equation problem looks like u t = k 2 u for x D, t > for a domain D an interval on the line or region in the plane or in 3-space, subject to conditions like ux, t = or u n for x in the boundary of the region, and = or some combination of these ux, = fx in D. There are two new kinds of inhomogeneity we will introduce here. The first is an inhomogeneous boundary condition so instead of being zero on the boundary, u or u/ n will be required to equal a given function on the boundary. The second kind is a source or forcing term in the equation itself we usually say source term for the heat equation and forcing term with the wave equation, so we d have for a given function Q. u t = 2 u + Qx, t The method we re going to use to solve inhomogeneous problems is captured in the elephant joke above. Up to now, we re good at killing blue elephants that is, solving problems with inhomogeneous initial conditions. So if we encounter a pink elephant a PDE with a source or forcing term we ll do something to change the problem into a different problem without the forcing term but with inhomogeneous initial conditions or different ones from the ones we had to begin with. And if we

2 inhomogeneous problems encounter a white elephant a problem with inhomogeneous boundary values we ll exchange the problem for one with a different forcing term and different initial conditions, and then exchange that one for one whose only inhomogeneity is in the initial data. That s the idea, and now we ll illustrate with examples. Example 1 a source term We consider the following problem for the heat equation: u t = u xx + e t for < x < 1 and t > u, t =, u1, t = ux, = x1 x This problem has homogeneous boundary conditions u, t = u1, t = but has the source term e t in the differential equation, so we deal with the source term first. The way to deal with source and forcing terms is called the method of eigenfunction expansions. In it, we take the non-t part of the differential equation the u xx and consider the eigenfunctions of it taken together with the homogeneous boundary conditions. We re used to this, it s the problem for Xx that we ve been encountering when we separate variables: X + λx = X = X1 =. We know that the eigenfunctions are sin nπx for n = 1, 2, 3,... and the corresponding values of λ are n 2 π 2 for n = 1, 2, 3,.... To get rid of the source term, we seek a solution of the equation in the form ux, t = a n t sin nπx So we re looking at the function ux, t as a time-varying function on the interval < x < 1 and so we re writing it as a Fourier sine series whose coefficients are allowed to vary with time. Because the boundary conditions are homogeneous, we are justified in plugging the series into the differential equation and moving the derivatives under the summation sign my Math 36 conscience made me say that. So the differential equation becomes a nt sin nπx = n 2 π 2 a n t sin nπx + e t We move the u xx sum to the left side and combine the sums to obtain a n + n 2 π 2 a n sin nπx = e t.

math 42 3 Now, since we have a Fourier sine series in x on the left, we need to have a Fourier sine series in x on the right, so we expand the function e t as a Fourier sine series in x with coefficients that are functions of t: e t = b n t sin nπx where b n = 2 1 e t sin nπx dx = 2e t nπ cos nπx x=1 x= = 2e t nπ 1 1n = 4e t nπ n odd n even Now we can set the coefficients a n + n 2 π 2 a n on the left side of equation * equal to the b n s that we have found on the right, so we have the differential equations a n + n 2 π 2 a n = for even n and a n + n 2 π 2 a n = 4e t nπ for odd n. The general solution for even n is a n t = c n e n2 π 2t this is also the complementary solution for odd n. But for the odd n we need a particular solution of a n + n 2 π 2 a n = 4e t nπ, which we find by the method of undetermined coefficients: Taking our cue from the right side of the equation, we guess that the particular solution is a n = Ae t, and substitute this into the equation and get 1 + n 2 π 2 Ce t = 4e t nπ, so C = 4/n 3 π 3 nπ and so for odd n we have OK, so far we have ux, t = a n t = 4e t nπn 2 π 2 1 + c ne n2 π2t. c n e n2 π 2t sin nπx + n odd 4e t sin nπx nπn 2 π 2 1, and for any reasonable choice of the c n s this will satisfy the partial differential equation and the boundary conditions. So we re done with the pink elephant, and

4 inhomogeneous problems now we have to choose the c n s so that the initial condition ux, = x1 x is satisfied. From our expression for ux, t, we have that ux, = c n sin nπx + n odd 4 sin nπx nπn 2 π 2 1, and since we want this to be x1 x, we ll need the Fourier sine series for x1 x, which is x1 x = 8 sin nπx n 3 π3 n odd we ve done this one before. We conclude that for even n we have c n =, and for odd n we have 4 c n + nπn 2 π 2 1 = 8 n 3 π, 3 so c n = 4n2 π 2 2 n 3 π 3 n 2 π 2 1. Altogether, then, the solution of the problem is ux, t = k= n odd 4n 2 π 2 2 π2t n 3 π 3 n 2 π 2 1 e n2 sin nπx + n odd which we could also write substituting 2k + 1 for n odd 4[2k + 1 2 π 2 2] ux, t = π2t 2k + 1 3 π 3 [2k + 1 2 π 2 1] e 2k+12 + 4e t sin nπx nπn 2 π 2 1, 4e t 2k + 1π[2k + 1 2 π 2 1] This is the solution the second term in the parentheses is devoted to the source term in the equation, and the first addresses the initial conditions. Example 2 the works This time we ll consider a problem involving the wave equation: u tt = 4u xx + t + 1x for < x < π and t > u, t =, uπ, t = sin αt ux, =, u t x, = This problem has both a forcing term t + 1x in the equation and an inhomogeneous boundary condition uπ, t = sin αt we put the parameter α in the problem to illustrate something later. It won t matter that the initial conditions start out homogeneous, because in compensating for the other inhomogeneities we will introduce initial values and have to deal with them anyway. sin2k+1πx.

math 42 When the boundary conditions are inhomogeneous, we always start with them, and try to find the simplest possible function u bd x, t that satisfies them. In this case, since we have u, t = and uπ, t = sin αt, it would make sense to use a function that is linear in x to match the boundary conditions for each t, that is, Then we ll set u bd x, t = x sin αt. π vx, t = ux, t u bd x, t. We ll calculate what initial/boundary-value problem for v is implied by the one we re solving for u it should and will have homogeneous boundary conditions. Then we ll solve the new problem for v and finally let u = v + u bd to solve the original problem. and So we calculate: we have v tt x, t = u tt x, t u bd tt x, t = u tt x, t + α2 x π v xx x, t = u xx x, t u bd xx x, t = u xx x, t. sin αt We can substitute this into the differential equation u tt = 4u xx + 1 + tx to get v tt = 4v xx + 1 + tx + α2 x π sin αt. The initial and boundary conditions for v will be those for u u bd, so v, t =, vπ, t = and, since u bd x, = and u bd t x, = αx/π, the initial conditions for v will be vx, =, v t x, = αx π. Now having dealt with the white elephant we re back in the situation of Example 1, with homogeneous boundary conditions and an inhomogeneous equation. We ll seek the function v in the form vx, t = a n t sin nx because sin nx are the eigenfunctions of X + λx = with boundary conditions X = Xπ =. We put this into the differential equation for v and obtain after moving the 4v xx term to the left side a n + 4n 2 a n sin nx = 1 + tx + α2 x [ π sin αt = 1 + t + α ] π sin αt x.

6 inhomogeneous problems So we need the Fourier sine series in x, with coefficients that vary with t for the function on the right side. It s not as bad as it looks, since the right side is just a multiple of x, and since 2 π π x sin nx dx = 2 π the differential equation becomes a n + 4n 2 a n sin nx = x n cos nx π + π 1 + t + α2 π cos nx n dx = 1 n+1 2 n, sin αt 1 n+1 2 sin nx. n Setting the coefficients of sin nx equal to one another gives differential equations for the a n t: a n + 4n 2 a n = 1 n+1 2 1 + t + α2 sin αt. n π As usual, we ll find a particular solution by the method of undetermined coefficients, and add to it the complementary solution c n cos 2nt + d n sin 2nt of a n + 4n 2 a n =. Here is the little complication introduced by the presence of the parameter α and it has a physical meaning. If α 2n, then our guess for the particular solution will be a p = A + Bt + C sin αt + D cos αt which gives us a p + 4n 2 a p = Cα 2 sin αt Dα 2 cos αt + 4n 2 A + Bt + C sin αt + D cos αt = 4n 2 A + Bt + 4n 2 α 2 C sin αt + D cos αt so to match the coefficients we must choose A = B = 1n+1 2n 3 C = 1 n+1 2α 2 nπ4n 2 α 2 and D =. Therefore, if α is not an even integer, we can write our function v as: 1 + t vx, t = 1 n+1 2n + 2α2 sin αt 3 nπ4n 2 α 2 + c n cos 2nt + d n sin 2nt sin nx and we re done with the pink elephant. All that s left is to match the initial conditions. For t =, we have vx, = 1 1 n+1 2n + c 3 n sin nx.

math 42 7 Then the initial condition vx, = tells us that we must choose c n = 1/2n 3. The initial velocity is 1 v t x, = 1 n+1 2n + 2α 3 3 nπ4n 2 α 2 + 2nd n sin nx. This is supposed to equal v t x, = αx π = 1 n 2α sin nx πn from the Fourier series for x which we computed already. corresponding coefficients gives us d n = 1 2α 2n πn + 1 2n + 2α 3 3 nπ4n 2 α 2 α 3 = n 2 πα 2 4n 2 α πn 1 2 4n. 4 Therefore, equating Now we can put these coefficients back into our expression for v, and add on u bd to get the final solution of the problem provided α is not an even integer: ux, t = x π sin αt + [ 1 + t 1 n+1 + 2α2 sin αt 2n 3 nπ4n 2 α 2 1 cos 2nt 2n3 α 3 + n 2 πα 2 4n 2 Here is a graph of the solution for < x < π and < t < 1: α πn 1 2 4n 4 ] sin 2nt sin nx

8 inhomogeneous problems In the graph you can see the zero initial conditions and the sine wave on the boundary at x = π. This boundary condition causes the waviness of the solution. The forcing term causes the general arched shape of the solution to grow as t increases from left to right. We ve so far ignored what happens if α is an even integer, but we will take that up now. For definiteness, let s put α = 12. We don t have to reconstruct the entire solution everything up until the middle of page 6, where we guessed the particular solution for the differential equation satisfied by a n t remains unchanged. And in fact, the rest of the solution, so all of the terms in the series for ux, t except the term for n = 6 so 2n = 12 = α remain unchanged except we can put α = 12 in them. We need only to understand what changes for the function a 6. The differential equation satisfied by a 6 is a 6 + 144a 6 = 1 3 1 + t + 144 sin 12t π The complementary solution is still c 6 cos 12t + d 6 sin 12t. But since the complementary solution has sin 12t in it, we cannot include this in our guess for the particular solution. In this case, our guess has to be and we get a p = A + Bt + Ct sin 12t + Dt cos 12t a p + 144a p = [C24 cos 12t 144t sin 12t D24 sin 12t + 144t cos 12t] + 144[A + Bt + Ct sin 12t + Dt cos 12t] = 144A + 144Bt + 24C cos 12t 24D sin 12t so to match the coefficients we need A = B = 1 432 C = and D = 2 π. Therefore, if α = 12, we must write the n = 6 term of our function v as: 1 + t 2t cos 12t + + c 6 cos 12t + d 6 sin 12t sin 6x 432 π and what remains is to determine c 6 and d 6 from the initial conditions.. Setting t = in this term yields the same equation as before, namely 1 432 + c 6 = well, we didn t put the complementary solution under the minus sign, but the result is the same: c 6 is what it was before. This derivative of this term with respect to t is 1 2 cos 12t 24t sin 12t + 12c 6 sin 12t + 12d 6 cos 12t. 432 π π

So this term in the initial velocity is math 42 9 1 432 + 2 π + 12d 6, which is supposed to equal 4/π from Fourier series for the the initial condition v t x, = αx/π. Therefore d 6 = 1 184 + 1 6π. So the final solution of the problem for α = 12 is ux, t = x π sin 12t + [ 1 + t 1 n+1 + 2n 3 + n 6 + [ 1 + t 2t cos 12t + + 432 π Note in the graph of the solution this time: 288 sin 12t nπ4n 2 144 1 cos 2nt 2n3 1728 n 2 π144 4n 2 12 πn 1 2 4n 4 cos 12t 432 + 1 184 + 1 6π ] sin 2nt sin nx ] sin 12t sin 6x the scale on the u-axis goes from to 1 as opposed to 1 to like last time. This is because the effect of the wavy boundary condition is to build up a resonant wave along the string because the boundary condition on the right side is oscillating with exactly the same frequency as one of the eigenfunctions normal modes of vibration of the string. This causes bigger and bigger vibrations of that frequency to build up in the string as time increases. It is this phenomenon that occurs, for example, when a singer shatters a glass by singing and sustaining a very high note. A better look at

1 inhomogeneous problems this would be provided by looking at the shape of the string for a fairly large positive value of t, say t =, for both the example with, say α = 4π and this one for α = 12: It s easy to tell which is which. An animation is more compelling and I ll try to get one up onto the webpage. Example 3 polar coordinates We ll do one more example, this time in polar coordinates, to show how to carry out the procedure when Bessel functions are involved. This time, we ll solve the following problem for the heat equation on a disk of radius : u t = 3 2 u + 2 x 2 y 2 for x 2 + y 2 < 2, t > ux, y, = for x 2 + y 2 < 2 u = 2 on the boundary of the disk for all t. From the form of the source term and the shape of the domain, it is clear that we should use polar coordinates it s also the case that neither the source term, the initial data, nor the boundary data depend on θ, so the solution will also be independent of θ. Our problem is thus u t = 3 r ru r r + 2 r 2 fpr r <, t > ur, =, and u, = 2. As usual, we ll deal with the boundary condition first. But this time, because the problem involves the heat equation and the source term does not depend on t, there

math 42 11 will be an equilibrium solution a time-independent solution for which the heat being added by the source term is exactly balanced by flux out of the boundary. So rather than just subtracting off u bd = 2, which would work, we ll find the equilibrium solution and subtract it from u instead. The equilibrium solution satisfies the problem 3 r ru rr + 2 r 2 =, u finite, u = 2. We rewrite the differential equation as 3 u + 1r u = r 2 2, which will become an inhomogeneous Cauchy-Euler equation if we multiply by r 2 : r 2 u + ru = 1 3 r4 2r 2. For the complementary solution, we guess u c = r α. Plug this in and discover that α = is a double root, so the general solution of the homogeneous equation r 2 u +ru = is u c = c 1 + c 2 ln r. We can immediately set c 2 = because we need u to be finite. For the particular solution, we use the method of undetermined coefficients and guess u p = Ar 4 + Br 2. Putting this into the equation gives r 2 u p + ru p = r 2 12Ar 2 + 2B + r4ar 3 + 2Br = 16Ar 4 + 4Br 2. 1 For this to equal 3 r4 2r 2 we need A = 1 2 and B =. So far we have 48 12 u eq = 1 48 r4 2 12 r2 + c 1 and we need to choose c 1 to satisfy the condition u = 2. So we solve and get c 1 = 94 16. So now we can set u eq = 4 2 2 + c 1 = 2 48 12 vr, t = ur, t u eq r = ur, t 1 48 r4 2 12 r2 + 94 16. The bonus we will reap for doing this is to get rid of both the boundary values and the source term: v t 3 2 v = u t 3 2 u 3 2 1 48 r4 2 12 r2 + 94 16 = u t 3 2 u 2 + r 2 = because 3 2 u eq = r 2 2 you should check this!. The boundary values of v are zero i.e., v, t = because the boundary values of u eq are the same as those of u, namely u eq, t = 2. The only distressing thing is the initial values of v: vr, = ur, u eq r = 1 48 r4 + 2 12 r2 94 16.

12 inhomogeneous problems To recap, the problem we have to solve for v is v t = 3 v rr + 1 r v r, v, t =, vr, = 1 48 r4 + 2 12 r2 94. 16 We want to use a series of r-eigenfunctions with coefficients that are functions of t the way we did for the previous examples. So we first need the eigenvalues and eigenfunctions of the problem R + 1 r R + λr =, R finite, R = We multiply the differential equation by r 2 and recognize r 2 R + rr + λr 2 R = as Bessel s equation of order zero, which has general solution Rr = cj λ r + dy λ r. We immediately set d = because Y r goes to as r goes to. Since we also need R =, we conclude that zn r Rr = J and λ = z2 n 2 where we write for the nth positive zero of J x we write zn instead of since we won t be using any Bessel functions besides J for this problem. So we seek vr, t in the form: We have that and, because J znr vr, t = v t r, t = zn r a n tj. a zn r ntj is a solution of the equation R + 1 r R = z2 n 2 R we have 2 vr, t = z2 n 2 a zn r ntj. We put this into the differential equation for v and get v t 3 2 v = a n + 3z2 n 2 a zn r n J =.

math 42 13 All of the coefficients in this last series must be zero, which gives first-order ordinary differential equations for the a n t s, and we conclude that and so vr, t = a n t = c n e 3z2 n t/2 c n e 3z2 n t/2 zn r J. Now we have to use the initial conditions for v to find the constants c n : vr, = We know how to do this: c n = zn r c n J = 1 48 r4 + 2 12 r2 94. 16 1 48 r4 + 2 12 r2 94 16, J J zn r, J zn r zn r where the inner product is given as usual in polar coordinates by fr, gr = frgr r dr. We defer the calculation of the integrals to avoid losing the track of the story the calculations are given below, and simply report that Then we can conclude that vr, t + c n = 1 4 +. J 1 3zn and so the solution to our original problem is ur, t = 1 48 r4 2 12 r2 + 94 16 1 4 + e 3z2 J 1 3zn n t/2 zn r J 1 4 + J 1 3zn e 3z2 nt/2 zn r J Here are graphs of the temperature as a function of the radius for t between and 3 at time steps of.2, together with the equilibrium solution they are approaching:

14 inhomogeneous problems We still have to compute the inner product integrals that produce the coefficients c n. There are four integrals to do. In the first three, we will repeatedly use the formula d dx xn J n x = x n J n 1 x or x n J n 1 x dx = x n J n x + C with various values of n. We ll also be integrating by parts with dv = x n J n 1 x dx and u equal to whatever powers of x remain unaccounted for in dv like that problem in the midterm. Start with the substitution x = r/ so r = x/ and dr = dx/ and compute: r 4 zn r, J = r zn r 6 zn J dr = x J x dx 6 [ z n zn ] = x J 1 x 4x 4 J 1 x dx = 6 J 1 4 = 6 6 [ x 4 J 2 x zn J 1 4 6 6 J 2 + 8 x 3 J 3 x = 6 z 2 n J 1 4 6 z 2 n J 2 + 8 6 J zn 3 3 ] 2x 3 J 2 x dx

math 42 1 where we integrated by parts with u = x 4 and dv = xj x dx to go from the first to the second line, and we integrated by parts with u = x 2 and dv = x 2 J 1 x dx to go from the second to the third line. Now we can use the Bessel function identity 2nJ x nx = J n 1 x + J n+1 x and remember that J = by definition of with n = 1 to get J 2 = 2 J 1 x and first with n = 2 and then with n = 1 to get J 3 = 4 8 J 2 J 1 = 1 J 1 x. z 2 n Therefore r 4, J zn r = 6 J 1 4 6 = 6 J 1 z 2 n 1 16 + 64 zn 3 zn 2 J 1 + 8 6. z 3 n 8 z 2 n 1 J 1 x In a similar way, we calculate r 2 zn r, J = r 3 zn r 4 zn J dr = x 3 J x dx 4 [ z n zn ] = x 3 J 1 x 2x 2 J 1 x dx 4 z = 4 n J 1 2 x 2 J 2 x = 4 J 1 2 4 J 2 z 2 n = 4 J 1 2 4 2 J zn 2 1 1 = 4 J 1 4 zn 3 The next one is easy: 1, J zn r = zn r 2 zn rj dr = xj x dx = 2 J 1. And finally, we use the substitution x = r/ or r = x and dr = dx together

16 inhomogeneous problems with the orthogonality relation 1 to compute the inner product J zn r zn r, J = xj m z mn x 2 dx = 1 2 J m+1z mn 2 rj zn r 2 dr = 2 1 xj x 2 dx = 2 2 J 1 2. We put these all together to compute 1 48 r4 + 2 12 r2 94 16, J zn r c n = zn r zn r J, J 2 = 1 r 4 zn r, J 2 J 1 2 48 = 1 [ 4 1 16 J 1 24 = 1 J 1 That s it. 4 3z n z 3 n. + 2 12 + 64 2 2 + zn 6 r 2 zn r, J 94 16 1 4 94 ] 1 zn 3 8 1, J zn r