University of Toronto at Scarborough Department of Computer and Mathematical Sciences, Mathematics MAT C46S 2013/14.

Similar documents
Partial Differential Equations Separation of Variables. 1 Partial Differential Equations and Operators

Plot of temperature u versus x and t for the heat conduction problem of. ln(80/π) = 820 sec. τ = 2500 π 2. + xu t. = 0 3. u xx. + u xt 4.

Review Sol. of More Long Answer Questions

Math 2930 Worksheet Final Exam Review

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section:

M412 Assignment 5 Solutions

Math Assignment 14

MA Chapter 10 practice

u tt = a 2 u xx u tt = a 2 (u xx + u yy )

Math 201 Assignment #11

Midterm Solution

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation.

Section 12.6: Non-homogeneous Problems

APPM GRADUATE PRELIMINARY EXAMINATION PARTIAL DIFFERENTIAL EQUATIONS SOLUTIONS

Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series

Bessel s Equation. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Fall Department of Mathematics

Ma 221 Final Exam Solutions 5/14/13

Sturm-Liouville Theory

(L, t) = 0, t > 0. (iii)

Welcome to Math 257/316 - Partial Differential Equations

Special Instructions:

Solving First Order PDEs

Boundary-value Problems in Rectangular Coordinates

2. Second-order Linear Ordinary Differential Equations

Solving First Order PDEs

Partial Differential Equations for Engineering Math 312, Fall 2012

The two-dimensional heat equation

MATH 412 Fourier Series and PDE- Spring 2010 SOLUTIONS to HOMEWORK 6

FINAL EXAM, MATH 353 SUMMER I 2015

MA 201: Method of Separation of Variables Finite Vibrating String Problem Lecture - 11 MA201(2016): PDE

Partial Differential Equations

1 Partial derivatives and Chain rule

Introduction and preliminaries

Problem (p.613) Determine all solutions, if any, to the boundary value problem. y + 9y = 0; 0 < x < π, y(0) = 0, y (π) = 6,

Final: Solutions Math 118A, Fall 2013

Vibrating-string problem

Ordinary Differential Equations II

Consider an ideal pendulum as shown below. l θ is the angular acceleration θ is the angular velocity

Math 4263 Homework Set 1

MA 201, Mathematics III, July-November 2016, Partial Differential Equations: 1D wave equation (contd.) and 1D heat conduction equation

CHAPTER 10 NOTES DAVID SEAL

Midterm 2: Sample solutions Math 118A, Fall 2013

Name: Math Homework Set # 5. March 12, 2010

MATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section:

MATH 251 Final Examination August 10, 2011 FORM A. Name: Student Number: Section:

4r 2 12r + 9 = 0. r = 24 ± y = e 3x. y = xe 3x. r 2 6r + 25 = 0. y(0) = c 1 = 3 y (0) = 3c 1 + 4c 2 = c 2 = 1

Homework for Math , Fall 2016

Partial differential equations (ACM30220)

LECTURE 19: SEPARATION OF VARIABLES, HEAT CONDUCTION IN A ROD

Separation of Variables. A. Three Famous PDE s

MATH 251 Final Examination December 19, 2012 FORM A. Name: Student Number: Section:

Lecture 24. Scott Pauls 5/21/07

UNIVERSITY OF MANITOBA

MATH 251 Final Examination May 3, 2017 FORM A. Name: Student Number: Section:

THE METHOD OF SEPARATION OF VARIABLES

MATH 425, FINAL EXAM SOLUTIONS

Separation of variables in two dimensions. Overview of method: Consider linear, homogeneous equation for u(v 1, v 2 )

PDE and Boundary-Value Problems Winter Term 2014/2015

An Introduction to Partial Differential Equations

The One-Dimensional Heat Equation

Summer 2017 MATH Solution to Exercise 5

1. Solve the boundary-value problems or else show that no solutions exist. y (x) = c 1 e 2x + c 2 e 3x. (3)

Autumn 2015 Practice Final. Time Limit: 1 hour, 50 minutes

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012

MATH20411 PDEs and Vector Calculus B

CHAPTER 4. Introduction to the. Heat Conduction Model

BOUNDARY-VALUE PROBLEMS IN RECTANGULAR COORDINATES

Separation of Variables

ISE I Brief Lecture Notes

MATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section:

MA22S2 Lecture Notes on Fourier Series and Partial Differential Equations.

6 Non-homogeneous Heat Problems

THE UNIVERSITY OF WESTERN ONTARIO. Applied Mathematics 375a Instructor: Matt Davison. Final Examination December 14, :00 12:00 a.m.

Lecture IX. Definition 1 A non-singular Sturm 1 -Liouville 2 problem consists of a second order linear differential equation of the form.

Math 316/202: Solutions to Assignment 7

Solutions to the Sample Problems for the Final Exam UCLA Math 135, Winter 2015, Professor David Levermore

Solving the Heat Equation (Sect. 10.5).

DYNAMIC BIFURCATION THEORY OF RAYLEIGH-BÉNARD CONVECTION WITH INFINITE PRANDTL NUMBER

Wave Equation With Homogeneous Boundary Conditions

2 Linear Differential Equations General Theory Linear Equations with Constant Coefficients Operator Methods...

3 Applications of partial differentiation

MATH 241 Practice Second Midterm Exam - Fall 2012

Notes on Special Functions

MATH-UA 263 Partial Differential Equations Recitation Summary

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section:

Lecture notes: Introduction to Partial Differential Equations

Math 251 December 14, 2005 Answer Key to Final Exam. 1 18pt 2 16pt 3 12pt 4 14pt 5 12pt 6 14pt 7 14pt 8 16pt 9 20pt 10 14pt Total 150pt

Partial Differential Equations

LAPLACE EQUATION. = 2 is call the Laplacian or del-square operator. In two dimensions, the expression of in rectangular and polar coordinates are

MB4018 Differential equations

Differential Equations

Final Exam May 4, 2016

Waves on 2 and 3 dimensional domains

dx n a 1(x) dy

Preparation for the Final

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

Final Examination Linear Partial Differential Equations. Matthew J. Hancock. Feb. 3, 2006

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01

The Fourier Transform Method

Lecture6. Partial Differential Equations

Transcription:

University of Toronto at Scarborough Department of Computer and Mathematical Sciences, Mathematics MAT C46S 213/14 Problem Set #4 Due date: Thursday, March 2, 214 at the beginning of class Part A: 1. 1. Let g(x) be a solution of the BVP, (p(x)y ) + q(x)y =, B a (y) =, B b (y) =. Show that if f(x) is a function for which the BVP (p(x)y ) +q(x)y = f(x), B a (y) =, B b (y) = has a solution then b a f(x)g(x)dx =. (Recall that B a (y) is the boundary condition at the point a, and similarly B b (y).) B a (y) = α 1 y(a)+α 2 y (a) Ly = (ay ) +by. L is self-adjoint on V := {h B a (h) = = B b (h)} in other words < Lu,v >=< u,lv > for all u,v V, where< r,s >= b a r(x)s(x)dx. By hypothesis g V and Lg =. Also there is z V s.t. Lz = f. So b a f(x)g(x)dx =< f,g >=< Lz,g >=< z,lg >=< z, >=. 2. 2. An insulated copper wire 2 cm long is heated to 1 degrees and then one end is placed next to an ice bath at degrees while the other end is insulated. Determine the temperature at the centre of the bar after 4 seconds. Recall that the boundary condition at the end that is insulated is u (x = L) = 1

while the boundary condition at the end in the ice bath is. u(x = ) = (Note that according to Table 1.5.1 in the text on p. 612, the value of the constant α 2 in the heat equation α 2 u xx = u t is 1.14.) u(,t) = and u x (2,t) = for all t. u(x,) = 1 for < x < 2. Set so so for some λ. Hence The boundary conditions give α 2 u xx = u t. u(x,t) = X(x)T(t) α 2 X T = XT α 2 X /X = λ = T /T α 2 X +λx = (1) T +λt = (2) u(,t) =, (3) u x (2,t) =, (4) u(x,) = 1, x 2 (5) From (4) we have X(x)T() = 1, so T(). From (3) we have X()T(t) = for all t, so X() =. From (4) we have X (2)T(t) = for all t, so X (2) =. Hence α 2 X +λx = and X() = and X (2) =. We need a nonzero solution since X = doesn t satisfy (5). The boundary conditions are X() =,X (2) =. Case 1: λ < Let λ = κ 2, κ >. 2

X 1 = e κx/2, X 2 = e κx/2. We need X(t) = c 1 eκx+c 2 e κx X 1 = κe κx/2, X 2 = κe κx/2 X() = tells us c 1 = c 2 so X(x) = csinhκx. So X (x) = cκcoshκx. So X (2) = cκcosh2κ = tells us cosh2κ = which is a contradiction (cosh(x) is never zero for any x). Case 2: λ = Here X(x) = a+bx,x (x) = b. X() = tells us a =. X (2) = tells us b =. So the only solution is X(x) =. Case 3: λ >. Let λ = k 2, k >. X 1 = coskx/α, X 2 = sinkx/α, B (X 1 ) = 1, B (X 2 ) = X 1 = k/αsinkx/α, X 2 = k/αcoskx/α, B 2 (X 1 ) = k/αsin2k/α, B 2 (X 2 ) = k/αcos2k/α So So 2k/α = (2n 1)/2π, n = 1,2,3,... λ n = α2 π 2 2 2 ((2n 1)/2)2 Let X = c 1 X 1 +c 2 X 2. = X() = c 1 +, so C 1 =. Hence φ n = sin((2n 1)πx/4) and < φ n,φ n >= f(x) = 1, so 1 = 2 2 2 < f,φ n >= 1 sin 2 (2n 1)πx/(4)dx = 2 sin 2 (2n 1)πv/2dv) 1 cos (2n 1)πv dv = 1(v sin(2n 1)v 2 (2n 1)π v=1 v== 1. 1sin (2n 1)πx 1 dx = 2 sin((2n 1)πv/2)dv 4 = 4 (2n 1)π ( cos((2n 1)πv/2) v=1 v= = 4 (1 cos(2n 1)π/2) = 4/((2n 1)π) (2n 1)π 3

So f = nb n φ n where b n = 4/((2n 1)π). Forφ n (x)thecorrespondingt satisfiest +λ n T =, λ n = α2 π 2 4 2 (2n 1) 2 sot = Ae λnt. Let u n = e λnt sin(2n 1)πnx/4. Then with bn,λ n as above. x = 1,t = 1 : u(x,t) = b n e λnt sin (2n 1)πx 4 u(1,4) = b n e 4λn sin(2n 1)π/4 = a n b n e 4λn where a n = 2 1 when n = 1,2 mod 4 a n = 2 1 when n = 3,4 mod 4 Thus u(1,4) = 4 ( 1 π 2 /4 2 π e α2 + 1 π2 9/(4) 3π e α2 1 π2 25/(4) 5π e α2 1 ) π2 49/(4) 7π e α2 + = 67.957+2.387.16+ = 7.3 It will be approximately 7.3 degrees in the centre of the wire after 4 seconds. Question 3. Show that if f then the eigenvalue problem y + λf(x)y =, y() =, y(1) = cannot have any negative eigenvalues. We know y() =. Consider the smallest zero of y other than x =, call it b. So for < x < b, y(x) is not. We may assume y(x) > for that range (otherwise replace y by y). Now let z be the maximum of y(x) with < x < b Then y (z e) > and y (z+e) < for small enough e (because y (z) = ). Integrate y between z e and z+e: the integral is y (z+e) y (z e), so it is <. But if lambda <, because f(x) is greater than or equal to, y has the same sign as y. (in other words it is > ). This is a contradiction. Part B: Do the following problems from Boyce-Di Prima. Section1.6#8Findthesteady-statesolutionoftheheatconductionequationα 2 u xx = u t that satisfies the following set of boundary conditions: u(,t) = T,u x (L,t)+u(L,t) = 4

The steady state solution v(x) satisfies the differential equation v (x) = along with the boundary conditions v() = T, v (L)+v(L) = The general solution of this ODE is v(x) = Ax+B. The boundary condition v () = requires that B = T. It follows that v(x) = Ax+T, and v (L)+v(L) = A+AL+T. The second boundary condition requires that A = T/(1+L). Hence v(x) = Tx/(1+L)+T. Section 1.7#12 Dimensionless variables can be introduced into the wave equation a 2 u xx = u tt as follows: (a) Let s = x/l and show that the wave equation becomes a 2 u xx = L 2 u tt (b) Let τ = at/l and show that the wave equation becomes u xx = u tt The wave equation is given by a 2 2 u x = 2 u 2 t 2. Setting s = x/l, we have u x = u s s x = 1 u L s. It follows that 2 u x = 1 2 u 2 L s 2. Likewise, with τ = at/l, u t = a u L τ and 2 u t = a2 2 u 2 L 2 τ 2 Substitution into the original equation results in 2 u s = 2 u 2 τ 2. Section 1.8 #2: Find the solution u(x,t) of Laplace s equation in < x < a, < y < b with the boundary conditions u(,y) =,u(a,y) =, < y < b u(x,) = h(x), u(x,b) =, x a. 5

Using the method of separation of variables, write u(x,y) = X(x)Y(y). We arrive at the ordinary differential equation with X() = X(a) =, and X +λx =, Y λy = with Y(b) =. It follows that λ n = (nπ/a) 2 and X n (x) = sin(nπx/a). Write the solution of the other ODE as Y(y) = d 1 coshλ(b y)+d 2 sinhλ(b y). Imposing the boundary condition, we have d 1 =. Hence the fundamental solutions are given by u n (x,y) = sin(nπx/a)sinhλ n (b y). The general solution is Based on the boundary condition, u(x,y) = c n sin(nπx/a)sinh(λ n (b y)/a). h(x) = c n sin(nπx/a)sinh(nπb/a). The coefficients are calculated using the equation a c n sinh(nπb/a) = 2/a( h(x) sin(nπx/a)dx. Section 1.8 #9 Show that the equation (23) has periodic solutions only if λ is real. Consider the equation Θ +λθ =. Let λ = µ 2, where µ = ν +iσ. The ODE can then be written as Θ (ν +iσ) 2 Θ =. The general solution is Collecting the real and imaginary parts, Θ(θ) = c 1 e (ν+iσ)t +c 2 e (ν+iσ)t. Θ(θ) = (c 1 e νt +c 2 e νt )cos(σt)+i(c 1 e νt c 2 e νt )sin(σt). For ν, the functions e νt and e νt are linearly independent. If the coefficients are nonzero, then the real and imaginary parts of Θ(θ) are not periodic. So Equation (23) in Section 1.8 has periodic solutions only if λ = (iσ) 2 = σ 2, with σ >. 6