Solving Nonhomogeneous PDEs (Eigenfunction Expansions)

Size: px
Start display at page:

Download "Solving Nonhomogeneous PDEs (Eigenfunction Expansions)"

Transcription

1 Chapter 1 Solving Nonhomogeneous PDEs (Eigenfunction Expansions) 1.1 Goal We know how to solve diffusion problems for which both the PDE and the s are homogeneous using the separation of variables method. Unfortunately, this method requires that both the PDE and the s be homogeneous. We also learned how to apply certain transformations so that nonhomogeneous s are transformed into homogeneous ones. Unfortunately, these transformations may in some cases, transform the PDE into a nonhomogeneous one. To complete the set of tools we have to solve diffusion problems, we must learn how to handle nonhomogeneous PDEs. We will begin by reviewing some concepts and giving new definitions. Then, we will show how to solve the IBVP PDE u t = α 2 u xx + f (x, t) <x<1 <t< α 1 u x (,t)+β 1 u (,t)= <t< (1.1) α 2 u x (1,t)+β 2 u (1,t)= IC u (x, ) = φ (x) x 1 by finding a series solution of the form u (x, y) = T n (t) X n (t) where X n (t) are the eigenfunctions we find when solving the associated homo- 73

2 74CHAPTER 1. SOLVING NONHOMOGENEOUS PDES (EIGENFUNCTION EXPANSIONS) geneous problem PDE u t = α 2 u xx <x<1 <t< α 1 u x (,t)+β 1 u (,t)= <t< α 2 u x (1,t)+β 2 u (1,t)= IC u (x, ) = φ (x) x 1 and T n (t) are functions which can be found by solving a sequence of ODEs. 1.2 Outline Recall that the solution of 1.2 is of the form u (x, t) = A n e ( λnα)2t X n (x) Where λ n and X n (x) are the eigenvalues and eigenfunctions of the problem X + λ 2 X = α 1 X () + β 1 X () = α 2 X (1) + β 2 X (1) = For the problem in 1.1, we will look for a solution of the form u (x, t) = T n (t) X n (x) (1.2) The physical reason for this is that without f (x, t), there is no heat source, so it is normal to expect the temperature to decrease with time, hence the damping term e ( λnα)2t. With a heat source, temperature will no longer decrease, hence we might expect the part which depends on t to be different. 1.3 General Idea We illustrate this method with the following nonhomogeneous IBVP: PDE u t = α 2 u xx + f (x, t) <x<1 <t< u (,t)= <t< u (1,t)= IC u (x, ) = φ (x) x 1 The general idea is to decompose f (x, t) into simple components f (x, t) =f 1 (t) X 1 (x)+f 2 (t) X 2 (x) f n (t) X n (x)+... (1.3) and find the response u n (x, t) =T n (t) X n (x) to each of these individual components. The solution to our problem will then be u (x, t) = u n (x, t)

3 1.3. GENERAL IDEA 75 We will break the procedure of solving this problem into several steps. Step 1 Find the functions X n (x). It turns out that the functions X n (x) are the eigenfunctions of the associated homogeneous problem when we solve it by separation of variables. We derive this problem one more time. The associated homogeneous PDE is u t = α 2 u xx. Ifwelookfor asolutionoftheformu (x, t) =T (t) X (x). Replacing in the PDE gives T (t) X (x) =α 2 T (t) X (x). Dividing each side by α 2 T (t) X (x) gives T (t) α 2 T (t) = X (x) X (x). We concluded these had to be equal to a negative constant we called λ 2. Thus, to find X, wesolvethesecondorderode X + λ 2 X =. For X, the boundary condition meant that X () = and X (1) =. Thus, we see that finding X amounts to solving the initial value problem X + λ 2 X = X () = X (1) = When we do so, we say that we are finding the eigenfunctions of this problem. You will recall that the solutions are X (x) =A sin λx+b cos λx. Using the boundary conditions gives = X () = B, sothatx (x) = A sin λx. Also, we have =X (1) = A sin λ. It follows that we must have sin λ =which means that λ = nπ for n =1, 2, 3, 4,... If we call λ n = nπ for each n =1, 2, 3, 4,... then we have X n (x) =sinnπx. Note that we omitted the constant, it will be part of the other components f n (t). Step 2 Find the functions f n (t). So far, we have f (x, t) =f 1 (t)sinπx + f 2 (t)sin2πx f n (t)sinnπx +... To find f n (t) we simply multiply each side by sin mπx and integrate from to 1 with respect to x. We have already used this method. We will have f (x, t)sinmπxdx = f n (t) = 1 2 f m (t) sin mπxdx sin nπxdx Thus f n (t) =2 f (x, t)sinnπxdx (1.4) Step 3 Find the response u n (x, t) = T n (t) X n (x). nonhomogeneous term f (x, t) by its decomposition Wecanreplacethe f (x, t) = f n (t)sinnπx

4 76CHAPTER 1. SOLVING NONHOMOGENEOUS PDES (EIGENFUNCTION EXPANSIONS) and we try to find the individual responses u (x, t) = T n (t)sinnπx So,wehavetofindthefunctionsT n (t) which solve the IBVP 1.3. If we replace u in that problem with the expression we have, we obtain PDE T n (t)sinnπx = α 2 (nπ) 2 T n (t)sinnπx + f n (t)sinnπx <x<1 <t< IC T n (t)sin= T n (t)sinnπ = T n () sin nπx = φ (x) x 1 The s do not give us any information, they simply say =. We are left with [ ] T n (t)+(nπα) 2 T n (t) f n (t) sin nπx = T n () sin nπx = φ (x) Thus, T n must satisfy the initial value problem { T n (t)+(nπα) 2 T n (t) f n (t) = T n () = 2 φ (x)sinnπxdx Let a n =2 φ (x)sinnπxdx. ThisisafirstorderlinearODEwhichcan be solved using the integration factor technique. Recall, if we multiply each side of the ODE by e (nπα)2t,weobtain T n (t) e (nπα)2t +(nπα) 2 T n (t) e (nπα)2t = f n (t) e (nπα)2 t which is ( T n (t) e (nπα)2 t ) = fn (t) e (nπα)2 t Integrating from to t on each side, we get (T ) t n (τ) e (nπα)2 τ dτ = f n (t) e (nπα)2t dτ T n (t) e (nπα)2t T n () = f n (τ) e (nπα)2τ dτ <t<

5 1.4. A SPECIFIC PROBLEM 77 Recall we set a n = T n (), sowehave T n (t) = a n e (nπα)2t + e (nπα)2 t = a n e (nπα)2t + Thus, the solution to the IBVP 1.3 is u (x, t) = T n (t)sinnπx = f n (τ) e (nπα)2τ dτ f n (τ) e (nπα)2 (τ t) dτ a n e (nπα)2t sin nπx + sin nπx f n (τ) e (nπα)2 (τ t) dτ This shows in particular that the temperature in the rod is due to two parts. One comes from the initial condition. The other one from the heat source. 1.4 A specific Problem We now apply the above procedure to a specific example. Consider the following IBVP: PDE u t = α 2 u xx +sin3πx <x<1 <t< u (,t)= <t< u (1,t)= IC u (x, ) = sin πx x 1 The eigenfunctions X n (x) depend on the corresponding homogeneous PDE and the s. Since they are the same in this problem as in the previous one, the X n (x) will be the same. Thus, we have to compute the coefficients T n (t) in the expansion u (x, t) = T n (t)sinnπx. Using our work from the previous example, we see that T n (t) must satisfy And T n +(nπα) 2 T n = f n = 2 sin 3πx sin nπxdx { if n 3 = 1 if n =3 T n () = 2 sin πx sin nπxdx { if n 1 = 1 if n =1

6 78CHAPTER 1. SOLVING NONHOMOGENEOUS PDES (EIGENFUNCTION EXPANSIONS) If we write these equations for each n, wehave T (n =1) 1 +(πα) 2 T 1 = T 1 () = 1 T (n =2) 2 +(2πα) 2 T 2 = T 2 () = T (n =3) 3 +(3πα) 2 T 3 =1 T 3 () = T (n 4) n +(nπα) 2 T n = T n () = Solution for n =1 T 1 (t) =Ae (πα)2t.sincet 1 () = 1, it follows that A =1. Thus, T 1 (t) =e (πα)2t. Solution for n =2 T 2 (t) =Ae (2πα)2t. Since T 2 () =, it follows that A =. Thus,T 2 (t) =. Solution for n =3 We use the integrating factor technique. We get T 3 (t) = 1 ( ) (3πα) 2 1 e (3πα)2 t. Solution for n 4 T 2 (t) =Ae (nπα)2t.sincet n () =, it follows that A =. Thus,T n (t) =. Thus, we see that the solution is u (x, t) =e (πα)2t sin πx Problems 1 ( ) (3πα) 2 1 e (3πα)2 t sin 3πx 1. In the last example, find the solution in the case n =3. 2. Solve the problem PDE u t = u xx +sinπx +sin2πx <x<1 <t< u (,t)= <t< u (1,t)= IC u (x, ) = x 1 3. Solve the problem PDE u t = u xx +sinπx <x<1 <t< u (,t)= <t< u (1,t)= IC u (x, ) = 1 x 1

7 1.5. PROBLEMS Solve the problem PDE u t = u xx +sinλ 1 x <x<1 <t< u (,t)= <t< u x (1,t)+u(1,t)= IC u (x, ) = x 1 where λ 1 is the first root of the equation tan λ = λ. eigenfunctions X n in this problem? What are the 5. Solve the problem PDE u t = u xx <x<1 <t< u (,t)= <t< u (1,t)=cost IC u (x, ) = x x 1 by: (a) Transforming it to one with homogeneous s. (b) Solving the resulting problems using the techniques of this chapter.

Solving Nonhomogeneous PDEs (Eigenfunction Expansions)

Solving Nonhomogeneous PDEs (Eigenfunction Expansions) Chapter 12 Solving Nonhomogeneous PDEs (Eigenfunction Expansions) 12.1 Goal We know how to solve diffusion problems for which both the PDE and the s are homogeneous using the separation of variables method.

More information

PDE and Boundary-Value Problems Winter Term 2014/2015

PDE and Boundary-Value Problems Winter Term 2014/2015 PDE and Boundary-Value Problems Winter Term 2014/2015 Lecture 6 Saarland University 17. November 2014 c Daria Apushkinskaya (UdS) PDE and BVP lecture 6 17. November 2014 1 / 40 Purpose of Lesson To show

More information

Transforming Nonhomogeneous BCs Into Homogeneous Ones

Transforming Nonhomogeneous BCs Into Homogeneous Ones Chapter 8 Transforming Nonhomogeneous s Into Homogeneous Ones 8.1 Goal In this chapter we look at more challenging example of problems which can be solved by separation of variables. A restriction of the

More information

Transforming Nonhomogeneous BCs Into Homogeneous Ones

Transforming Nonhomogeneous BCs Into Homogeneous Ones Chapter 10 Transforming Nonhomogeneous s Into Homogeneous Ones 10.1 Goal In the previous chapter, we looked at separation of variables. We saw that this method applies if both the boundary conditions and

More information

Solving the Heat Equation (Sect. 10.5).

Solving the Heat Equation (Sect. 10.5). Solving the Heat Equation Sect. 1.5. Review: The Stationary Heat Equation. The Heat Equation. The Initial-Boundary Value Problem. The separation of variables method. An example of separation of variables.

More information

Method of Separation of Variables

Method of Separation of Variables MODUE 5: HEAT EQUATION 11 ecture 3 Method of Separation of Variables Separation of variables is one of the oldest technique for solving initial-boundary value problems (IBVP) and applies to problems, where

More information

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx.

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx. Problem set 3: Solutions Math 27B, Winter 216 1. Suppose that u(x) is a non-zero solution of the eigenvalue problem u = λu < x < 1, u() =, u(1) =. Show that λ = (u ) 2 dx u2 dx. Deduce that every eigenvalue

More information

MA Chapter 10 practice

MA Chapter 10 practice MA 33 Chapter 1 practice NAME INSTRUCTOR 1. Instructor s names: Chen. Course number: MA33. 3. TEST/QUIZ NUMBER is: 1 if this sheet is yellow if this sheet is blue 3 if this sheet is white 4. Sign the scantron

More information

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

Partial Differential Equations Separation of Variables. 1 Partial Differential Equations and Operators PDE-SEP-HEAT-1 Partial Differential Equations Separation of Variables 1 Partial Differential Equations and Operators et C = C(R 2 ) be the collection of infinitely differentiable functions from the plane

More information

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

MA 201: Method of Separation of Variables Finite Vibrating String Problem Lecture - 11 MA201(2016): PDE MA 201: Method of Separation of Variables Finite Vibrating String Problem ecture - 11 IBVP for Vibrating string with no external forces We consider the problem in a computational domain (x,t) [0,] [0,

More information

Math 201 Assignment #11

Math 201 Assignment #11 Math 21 Assignment #11 Problem 1 (1.5 2) Find a formal solution to the given initial-boundary value problem. = 2 u x, < x < π, t > 2 u(, t) = u(π, t) =, t > u(x, ) = x 2, < x < π Problem 2 (1.5 5) Find

More information

Wave Equation With Homogeneous Boundary Conditions

Wave Equation With Homogeneous Boundary Conditions Wave Equation With Homogeneous Boundary Conditions MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 018 Objectives In this lesson we will learn: how to solve the

More information

Eigenvalue Problem. 1 The First (Dirichlet) Eigenvalue Problem

Eigenvalue Problem. 1 The First (Dirichlet) Eigenvalue Problem Eigenvalue Problem A. Salih Department of Aerospace Engineering Indian Institute of Space Science and Technology, Thiruvananthapuram July 06 The method of separation variables for solving the heat equation

More information

Analysis III (BAUG) Assignment 3 Prof. Dr. Alessandro Sisto Due 13th October 2017

Analysis III (BAUG) Assignment 3 Prof. Dr. Alessandro Sisto Due 13th October 2017 Analysis III (BAUG Assignment 3 Prof. Dr. Alessandro Sisto Due 13th October 2017 Question 1 et a 0,..., a n be constants. Consider the function. Show that a 0 = 1 0 φ(xdx. φ(x = a 0 + Since the integral

More information

17 Source Problems for Heat and Wave IB- VPs

17 Source Problems for Heat and Wave IB- VPs 17 Source Problems for Heat and Wave IB- VPs We have mostly dealt with homogeneous equations, homogeneous b.c.s in this course so far. Recall that if we have non-homogeneous b.c.s, then we want to first

More information

Vibrating-string problem

Vibrating-string problem EE-2020, Spring 2009 p. 1/30 Vibrating-string problem Newton s equation of motion, m u tt = applied forces to the segment (x, x, + x), Net force due to the tension of the string, T Sinθ 2 T Sinθ 1 T[u

More information

MA 201: Partial Differential Equations Lecture - 11

MA 201: Partial Differential Equations Lecture - 11 MA 201: Partia Differentia Equations Lecture - 11 Heat Equation Heat conduction in a thin rod The IBVP under consideration consists of: The governing equation: u t = αu xx, (1) where α is the therma diffusivity.

More information

# Points Score Total 100

# Points Score Total 100 Name: PennID: Math 241 Make-Up Final Exam January 19, 2016 Instructions: Turn off and put away your cell phone. Please write your Name and PennID on the top of this page. Please sign and date the pledge

More information

6 Non-homogeneous Heat Problems

6 Non-homogeneous Heat Problems 6 Non-homogeneous Heat Problems Up to this point all the problems we have considered for the heat or wave equation we what we call homogeneous problems. This means that for an interval < x < l the problems

More information

Diffusion on the half-line. The Dirichlet problem

Diffusion on the half-line. The Dirichlet problem Diffusion on the half-line The Dirichlet problem Consider the initial boundary value problem (IBVP) on the half line (, ): v t kv xx = v(x, ) = φ(x) v(, t) =. The solution will be obtained by the reflection

More information

Mathematical Methods: Fourier Series. Fourier Series: The Basics

Mathematical Methods: Fourier Series. Fourier Series: The Basics 1 Mathematical Methods: Fourier Series Fourier Series: The Basics Fourier series are a method of representing periodic functions. It is a very useful and powerful tool in many situations. It is sufficiently

More information

LECTURE 33: NONHOMOGENEOUS HEAT CONDUCTION PROBLEM

LECTURE 33: NONHOMOGENEOUS HEAT CONDUCTION PROBLEM LECTURE 33: NONHOMOGENEOUS HEAT CONDUCTION PROBLEM 1. General Solving Procedure The general nonhomogeneous 1-dimensional heat conduction problem takes the form Eq : [p(x)u x ] x q(x)u + F (x, t) = r(x)u

More information

Lecture 19: Heat conduction with distributed sources/sinks

Lecture 19: Heat conduction with distributed sources/sinks Introductory lecture notes on Partial Differential Equations - c Anthony Peirce. Not to be copied, used, or revised without explicit written permission from the copyright owner. 1 ecture 19: Heat conduction

More information

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

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

More information

Introduction to Partial Differential Equations

Introduction to Partial Differential Equations Introduction to Partial Differential Equations Philippe B. Laval KSU Current Semester Philippe B. Laval (KSU) Key Concepts Current Semester 1 / 25 Introduction The purpose of this section is to define

More information

Lecture Notes for Math 251: ODE and PDE. Lecture 32: 10.2 Fourier Series

Lecture Notes for Math 251: ODE and PDE. Lecture 32: 10.2 Fourier Series Lecture Notes for Math 251: ODE and PDE. Lecture 32: 1.2 Fourier Series Shawn D. Ryan Spring 212 Last Time: We studied the heat equation and the method of Separation of Variabes. We then used Separation

More information

10.2-3: Fourier Series.

10.2-3: Fourier Series. 10.2-3: Fourier Series. 10.2-3: Fourier Series. O. Costin: Fourier Series, 10.2-3 1 Fourier series are very useful in representing periodic functions. Examples of periodic functions. A function is periodic

More information

0 3 x < x < 5. By continuing in this fashion, and drawing a graph, it can be seen that T = 2.

0 3 x < x < 5. By continuing in this fashion, and drawing a graph, it can be seen that T = 2. 04 Section 10. y (π) = c = 0, and thus λ = 0 is an eigenvalue, with y 0 (x) = 1 as the eigenfunction. For λ > 0 we again have y(x) = c 1 sin λ x + c cos λ x, so y (0) = λ c 1 = 0 and y () = -c λ sin λ

More information

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

LECTURE 19: SEPARATION OF VARIABLES, HEAT CONDUCTION IN A ROD ECTURE 19: SEPARATION OF VARIABES, HEAT CONDUCTION IN A ROD The idea of separation of variables is simple: in order to solve a partial differential equation in u(x, t), we ask, is it possible to find a

More information

Differential Equations

Differential Equations Differential Equations Problem Sheet 1 3 rd November 2011 First-Order Ordinary Differential Equations 1. Find the general solutions of the following separable differential equations. Which equations are

More information

14 Separation of Variables Method

14 Separation of Variables Method 14 Separation of Variabes Method Consider, for exampe, the Dirichet probem u t = Du xx < x u(x, ) = f(x) < x < u(, t) = = u(, t) t > Let u(x, t) = T (t)φ(x); now substitute into the equation: dt

More information

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

MA 201, Mathematics III, July-November 2016, Partial Differential Equations: 1D wave equation (contd.) and 1D heat conduction equation MA 201, Mathematics III, July-November 2016, Partial Differential Equations: 1D wave equation (contd.) and 1D heat conduction equation Lecture 12 Lecture 12 MA 201, PDE (2016) 1 / 24 Formal Solution of

More information

Midterm 2: Sample solutions Math 118A, Fall 2013

Midterm 2: Sample solutions Math 118A, Fall 2013 Midterm 2: Sample solutions Math 118A, Fall 213 1. Find all separated solutions u(r,t = F(rG(t of the radially symmetric heat equation u t = k ( r u. r r r Solve for G(t explicitly. Write down an ODE for

More information

Partial Differential Equations Summary

Partial Differential Equations Summary Partial Differential Equations Summary 1. The heat equation Many physical processes are governed by partial differential equations. temperature of a rod. In this chapter, we will examine exactly that.

More information

The 1-D Heat Equation

The 1-D Heat Equation The 1-D Heat Equation 18.303 Linear Partial Differential Equations Matthew J. Hancock Fall 005 1 The 1-D Heat Equation 1.1 Physical derivation Reference: Haberman 1.1-1.3 [Sept. 7, 005] In a metal rod

More information

Analytical solutions for the fractional Klein-Gordon equation

Analytical solutions for the fractional Klein-Gordon equation Computational Methods for Differential Equations http://cmde.tabrizu.ac.ir Vol. 2, No. 2, 214, pp. 99-114 Analytical solutions for the fractional Klein-Gordon equation Hosseni Kheiri Faculty of Mathematical

More information

The One Dimensional Heat Equation

The One Dimensional Heat Equation The One Dimensional Heat Equation Adam Abrahamsen and David Richards May 22, 2002 Abstract In this document we will study the flow of heat in one dimension through a small thin rod. We will use the derivation

More information

Homework #04 Answers and Hints (MATH4052 Partial Differential Equations)

Homework #04 Answers and Hints (MATH4052 Partial Differential Equations) Homework #4 Answers and Hints (MATH452 Partia Differentia Equations) Probem 1 (Page 89, Q2) Consider a meta rod ( < x < ), insuated aong its sides but not at its ends, which is initiay at temperature =

More information

Math 260: Solving the heat equation

Math 260: Solving the heat equation Math 260: Solving the heat equation D. DeTurck University of Pennsylvania April 25, 2013 D. DeTurck Math 260 001 2013A: Solving the heat equation 1 / 1 1D heat equation with Dirichlet boundary conditions

More information

v(x, 0) = g(x) where g(x) = f(x) U(x). The solution is where b n = 2 g(x) sin(nπx) dx. (c) As t, we have v(x, t) 0 and u(x, t) U(x).

v(x, 0) = g(x) where g(x) = f(x) U(x). The solution is where b n = 2 g(x) sin(nπx) dx. (c) As t, we have v(x, t) 0 and u(x, t) U(x). Problem set 4: Solutions Math 27B, Winter216 1. The following nonhomogeneous IBVP describes heat flow in a rod whose ends are held at temperatures u, u 1 : u t = u xx < x < 1, t > u(, t) = u, u(1, t) =

More information

THE METHOD OF SEPARATION OF VARIABLES

THE METHOD OF SEPARATION OF VARIABLES THE METHOD OF SEPARATION OF VARIABES To solve the BVPs that we have encountered so far, we will use separation of variables on the homogeneous part of the BVP. This separation of variables leads to problems

More information

Partial differential equation for temperature u(x, t) in a heat conducting insulated rod along the x-axis is given by the Heat equation:

Partial differential equation for temperature u(x, t) in a heat conducting insulated rod along the x-axis is given by the Heat equation: Chapter 7 Heat Equation Partial differential equation for temperature u(x, t) in a heat conducting insulated rod along the x-axis is given by the Heat equation: u t = ku x x, x, t > (7.1) Here k is a constant

More information

Solutions to Exercises 8.1

Solutions to Exercises 8.1 Section 8. Partial Differential Equations in Physics and Engineering 67 Solutions to Exercises 8.. u xx +u xy u is a second order, linear, and homogeneous partial differential equation. u x (,y) is linear

More information

Separation of variables

Separation of variables Separation of variables Idea: Transform a PDE of 2 variables into a pair of ODEs Example : Find the general solution of u x u y = 0 Step. Assume that u(x,y) = G(x)H(y), i.e., u can be written as the product

More information

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

MATH 251 Final Examination August 10, 2011 FORM A. Name: Student Number: Section: MATH 251 Final Examination August 10, 2011 FORM A Name: Student Number: Section: This exam has 10 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all work

More information

Math 2930 Worksheet Final Exam Review

Math 2930 Worksheet Final Exam Review Math 293 Worksheet Final Exam Review Week 14 November 3th, 217 Question 1. (* Solve the initial value problem y y = 2xe x, y( = 1 Question 2. (* Consider the differential equation: y = y y 3. (a Find the

More information

Boundary-value Problems in Rectangular Coordinates

Boundary-value Problems in Rectangular Coordinates Boundary-value Problems in Rectangular Coordinates 2009 Outline Separation of Variables: Heat Equation on a Slab Separation of Variables: Vibrating String Separation of Variables: Laplace Equation Review

More information

Wave Equation Modelling Solutions

Wave Equation Modelling Solutions Wave Equation Modelling Solutions SEECS-NUST December 19, 2017 Wave Phenomenon Waves propagate in a pond when we gently touch water in it. Wave Phenomenon Our ear drums are very sensitive to small vibrations

More information

Introduction to Sturm-Liouville Theory

Introduction to Sturm-Liouville Theory Introduction to R. C. Trinity University Partial Differential Equations April 10, 2014 Sturm-Liouville problems Definition: A (second order) Sturm-Liouville (S-L) problem consists of A Sturm-Liouville

More information

The lecture of 1/23/2013: WHY STURM-LIOUVILLE?

The lecture of 1/23/2013: WHY STURM-LIOUVILLE? The lecture of 1/23/2013: WHY STURM-LIOUVILLE? 1 Separation of variables There are several equations of importance in mathematical physics that have lots of simple solutions. To be a bit more specific,

More information

MA 201: Differentiation and Integration of Fourier Series Applications of Fourier Series Lecture - 10

MA 201: Differentiation and Integration of Fourier Series Applications of Fourier Series Lecture - 10 MA 201: Differentiation and Integration of Fourier Series Applications of Fourier Series ecture - 10 Fourier Series: Orthogonal Sets We begin our treatment with some observations: For m,n = 1,2,3,... cos

More information

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

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section: MATH 251 Final Examination May 4, 2015 FORM A Name: Student Number: Section: This exam has 16 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all work must

More information

2.4 Eigenvalue problems

2.4 Eigenvalue problems 2.4 Eigenvalue problems Associated with the boundary problem (2.1) (Poisson eq.), we call λ an eigenvalue if Lu = λu (2.36) for a nonzero function u C 2 0 ((0, 1)). Recall Lu = u. Then u is called an eigenfunction.

More information

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

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 Name Section Math 51 December 14, 5 Answer Key to Final Exam There are 1 questions on this exam. Many of them have multiple parts. The point value of each question is indicated either at the beginning

More information

In this lecture we shall learn how to solve the inhomogeneous heat equation. u t α 2 u xx = h(x, t)

In this lecture we shall learn how to solve the inhomogeneous heat equation. u t α 2 u xx = h(x, t) MODULE 5: HEAT EQUATION 2 Lecture 5 Time-Dependent BC In this lecture we shall learn how to solve the inhomogeneous heat equation u t α 2 u xx = h(x, t) with time-dependent BC. To begin with, let us consider

More information

CHAPTER 10 NOTES DAVID SEAL

CHAPTER 10 NOTES DAVID SEAL CHAPTER 1 NOTES DAVID SEA 1. Two Point Boundary Value Problems All of the problems listed in 14 2 ask you to find eigenfunctions for the problem (1 y + λy = with some prescribed data on the boundary. To

More information

Homework 7 Solutions

Homework 7 Solutions Homework 7 Solutions # (Section.4: The following functions are defined on an interval of length. Sketch the even and odd etensions of each function over the interval [, ]. (a f( =, f ( Even etension of

More information

Partial Differential Equations

Partial Differential Equations Partial Differential Equations Xu Chen Assistant Professor United Technologies Engineering Build, Rm. 382 Department of Mechanical Engineering University of Connecticut xchen@engr.uconn.edu Contents 1

More information

MA 201: Partial Differential Equations Lecture - 10

MA 201: Partial Differential Equations Lecture - 10 MA 201: Partia Differentia Equations Lecture - 10 Separation of Variabes, One dimensiona Wave Equation Initia Boundary Vaue Probem (IBVP) Reca: A physica probem governed by a PDE may contain both boundary

More information

Math 316/202: Solutions to Assignment 7

Math 316/202: Solutions to Assignment 7 Math 316/22: Solutions to Assignment 7 1.8.6(a) Using separation of variables, we write u(r, θ) = R(r)Θ(θ), where Θ() = Θ(π) =. The Laplace equation in polar coordinates (equation 19) becomes R Θ + 1 r

More information

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

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section: MATH 251 Final Examination August 14, 2015 FORM A Name: Student Number: Section: This exam has 11 questions for a total of 150 points. Show all your work! In order to obtain full credit for partial credit

More information

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01 ENGI 940 ecture Notes 8 - PDEs Page 8.0 8. Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives

More information

8 Separation of Variables in Other Coordinate Systems

8 Separation of Variables in Other Coordinate Systems 8 Sepaation of Vaiables in Othe Coodinate Systems Fo the method of sepaation of vaiables to succeed you need to be able to expess the poblem at hand in a coodinate system in which the physical boundaies

More information

MAT 372 K.T.D.D. Final Sınavın Çözümleri N. Course. Question 1 (Canonical Forms). Consider the second order partial differential equation

MAT 372 K.T.D.D. Final Sınavın Çözümleri N. Course. Question 1 (Canonical Forms). Consider the second order partial differential equation OKAN ÜNİVERSİTESİ FEN EDEBİYAT FAKÜTESİ MATEMATİK BÖÜMÜ 1.5. MAT 7 K.T.D.D. Final Sınavın Çözümleri N. Course Question 1 (Canonical Forms). Consider the second order partial differential equation (sin

More information

AMATH 353 Lecture 9. Weston Barger. How to classify PDEs as linear/nonlinear, order, homogeneous or non-homogeneous.

AMATH 353 Lecture 9. Weston Barger. How to classify PDEs as linear/nonlinear, order, homogeneous or non-homogeneous. AMATH 353 ecture 9 Weston Barger 1 Exam What you need to know: How to classify PDEs as linear/nonlinear, order, homogeneous or non-homogeneous. The definitions for traveling wave, standing wave, wave train

More information

Math Assignment 14

Math Assignment 14 Math 2280 - Assignment 14 Dylan Zwick Spring 2014 Section 9.5-1, 3, 5, 7, 9 Section 9.6-1, 3, 5, 7, 14 Section 9.7-1, 2, 3, 4 1 Section 9.5 - Heat Conduction and Separation of Variables 9.5.1 - Solve the

More information

M.Sc. in Meteorology. Numerical Weather Prediction

M.Sc. in Meteorology. Numerical Weather Prediction M.Sc. in Meteorology UCD Numerical Weather Prediction Prof Peter Lynch Meteorology & Climate Centre School of Mathematical Sciences University College Dublin Second Semester, 2005 2006. In this section

More information

x x2 2 B A ) v(0, t) = 0 and v(l, t) = 0. L 2. This is a familiar heat equation initial/boundary-value problem and has solution

x x2 2 B A ) v(0, t) = 0 and v(l, t) = 0. L 2. This is a familiar heat equation initial/boundary-value problem and has solution Hints to homewok 7 8.2.d. The poblem is u t ku xx + k ux fx u t A u t B. It has a souce tem and inhomogeneous bounday conditions but none of them depend on t. So as in example 3 of the notes we should

More information

Lecture Notes for Math 251: ODE and PDE. Lecture 30: 10.1 Two-Point Boundary Value Problems

Lecture Notes for Math 251: ODE and PDE. Lecture 30: 10.1 Two-Point Boundary Value Problems Lecture Notes for Math 251: ODE and PDE. Lecture 30: 10.1 Two-Point Boundary Value Problems Shawn D. Ryan Spring 2012 Last Time: We finished Chapter 9: Nonlinear Differential Equations and Stability. Now

More information

Homework 6 Math 309 Spring 2016

Homework 6 Math 309 Spring 2016 Homework 6 Math 309 Spring 2016 Due May 18th Name: Solution: KEY: Do not distribute! Directions: No late homework will be accepted. The homework can be turned in during class or in the math lounge in Pedelford

More information

Practice Problems For Test 3

Practice Problems For Test 3 Practice Problems For Test 3 Power Series Preliminary Material. Find the interval of convergence of the following. Be sure to determine the convergence at the endpoints. (a) ( ) k (x ) k (x 3) k= k (b)

More information

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.

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. Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: y y x y2 = 0 : homogeneous equation. x2 v = y dy, y = vx, and x v + x dv dx = v + v2. dx =

More information

Chapter 10: Partial Differential Equations

Chapter 10: Partial Differential Equations 1.1: Introduction Chapter 1: Partial Differential Equations Definition: A differential equations whose dependent variable varies with respect to more than one independent variable is called a partial differential

More information

Partial Differential Equations

Partial Differential Equations Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives with respect to those variables. Most (but

More information

MA FINAL EXAM INSTRUCTIONS

MA FINAL EXAM INSTRUCTIONS MA 33 FINAL EXAM INSTRUCTIONS NAME INSTRUCTOR. Intructor nme: Chen, Dong, Howrd, or Lundberg 2. Coure number: MA33. 3. SECTION NUMBERS: 6 for MWF :3AM-:2AM REC 33 cl by Erik Lundberg 7 for MWF :3AM-:2AM

More information

More on Fourier Series

More on Fourier Series More on Fourier Series R. C. Trinity University Partial Differential Equations Lecture 6.1 New Fourier series from old Recall: Given a function f (x, we can dilate/translate its graph via multiplication/addition,

More information

A proof for the full Fourier series on [ π, π] is given here.

A proof for the full Fourier series on [ π, π] is given here. niform convergence of Fourier series A smooth function on an interval [a, b] may be represented by a full, sine, or cosine Fourier series, and pointwise convergence can be achieved, except possibly at

More information

Separation of Variables. A. Three Famous PDE s

Separation of Variables. A. Three Famous PDE s Separation of Variables c 14, Philip D. Loewen A. Three Famous PDE s 1. Wave Equation. Displacement u depends on position and time: u = u(x, t. Concavity drives acceleration: u tt = c u xx.. Heat Equation.

More information

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01 ENGI 940 Lecture Notes 8 - PDEs Page 8.01 8. Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives

More information

CHAPTER 4. Introduction to the. Heat Conduction Model

CHAPTER 4. Introduction to the. Heat Conduction Model A SERIES OF CLASS NOTES FOR 005-006 TO INTRODUCE LINEAR AND NONLINEAR PROBLEMS TO ENGINEERS, SCIENTISTS, AND APPLIED MATHEMATICIANS DE CLASS NOTES 4 A COLLECTION OF HANDOUTS ON PARTIAL DIFFERENTIAL EQUATIONS

More information

The 1-D Heat Equation

The 1-D Heat Equation The 1-D Heat Equation 18.303 Linear Partial Differential Equations Matthew J. Hancock Fall 004 1 The 1-D Heat Equation 1.1 Physical derivation Reference: Haberman 1.1-1.3 [Sept. 8, 004] In a metal rod

More information

FOURIER SERIES PART III: APPLICATIONS

FOURIER SERIES PART III: APPLICATIONS FOURIER SERIES PART III: APPLICATIONS We extend the construction of Fourier series to functions with arbitrary eriods, then we associate to functions defined on an interval [, L] Fourier sine and Fourier

More information

G: Uniform Convergence of Fourier Series

G: Uniform Convergence of Fourier Series G: Uniform Convergence of Fourier Series From previous work on the prototypical problem (and other problems) u t = Du xx 0 < x < l, t > 0 u(0, t) = 0 = u(l, t) t > 0 u(x, 0) = f(x) 0 < x < l () we developed

More information

Consequences of Orthogonality

Consequences of Orthogonality Consequences of Orthogonality Philippe B. Laval KSU Today Philippe B. Laval (KSU) Consequences of Orthogonality Today 1 / 23 Introduction The three kind of examples we did above involved Dirichlet, Neumann

More information

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

Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series CHAPTER 5 Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series We start with some introductory examples. 5.. Cauchy s equation The homogeneous Euler-Cauchy equation (Leonhard

More information

BOUNDARY-VALUE PROBLEMS IN RECTANGULAR COORDINATES

BOUNDARY-VALUE PROBLEMS IN RECTANGULAR COORDINATES 1 BOUNDARY-VALUE PROBLEMS IN RECTANGULAR COORDINATES 1.1 Separable Partial Differential Equations 1. Classical PDEs and Boundary-Value Problems 1.3 Heat Equation 1.4 Wave Equation 1.5 Laplace s Equation

More information

Math Assignment 6

Math Assignment 6 Math 2280 - Assignment 6 Dylan Zwick Fall 2013 Section 3.7-1, 5, 10, 17, 19 Section 3.8-1, 3, 5, 8, 13 Section 4.1-1, 2, 13, 15, 22 Section 4.2-1, 10, 19, 28 1 Section 3.7 - Electrical Circuits 3.7.1 This

More information

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

Math 251 December 14, 2005 Final Exam. 1 18pt 2 16pt 3 12pt 4 14pt 5 12pt 6 14pt 7 14pt 8 16pt 9 20pt 10 14pt Total 150pt Math 251 December 14, 2005 Final Exam Name Section There are 10 questions on this exam. Many of them have multiple parts. The point value of each question is indicated either at the beginning of each question

More information

MATH 23 Exam 2 Review Solutions

MATH 23 Exam 2 Review Solutions MATH 23 Exam 2 Review Solutions Problem 1. Use the method of reduction of order to find a second solution of the given differential equation x 2 y (x 0.1875)y = 0, x > 0, y 1 (x) = x 1/4 e 2 x Solution

More information

DUHAMEL S PRINCIPLE FOR THE WAVE EQUATION HEAT EQUATION WITH EXPONENTIAL GROWTH or DECAY COOLING OF A SPHERE DIFFUSION IN A DISK SUMMARY of PDEs

DUHAMEL S PRINCIPLE FOR THE WAVE EQUATION HEAT EQUATION WITH EXPONENTIAL GROWTH or DECAY COOLING OF A SPHERE DIFFUSION IN A DISK SUMMARY of PDEs DUHAMEL S PRINCIPLE FOR THE WAVE EQUATION HEAT EQUATION WITH EXPONENTIAL GROWTH or DECAY COOLING OF A SPHERE DIFFUSION IN A DISK SUMMARY of PDEs MATH 4354 Fall 2005 December 5, 2005 1 Duhamel s Principle

More information

Ordinary Differential Equations (ODEs)

Ordinary Differential Equations (ODEs) Chapter 13 Ordinary Differential Equations (ODEs) We briefly review how to solve some of the most standard ODEs. 13.1 First Order Equations 13.1.1 Separable Equations A first-order ordinary differential

More information

f xx g dx, (5) The point (i) is straightforward. Let us check the point (ii). Doing the integral by parts, we get 1 f g xx dx = f g x 1 0 f xg x dx =

f xx g dx, (5) The point (i) is straightforward. Let us check the point (ii). Doing the integral by parts, we get 1 f g xx dx = f g x 1 0 f xg x dx = Problem 19. Consider the heat equation u t = u xx, (1) u = u(x, t), x [, 1], with the boundary conditions (note the derivative in the first one) u x (, t) =, u(1, t) = (2) and the initial condition u(x,

More information

Math 311, Partial Differential Equations, Winter 2015, Midterm

Math 311, Partial Differential Equations, Winter 2015, Midterm Score: Name: Math 3, Partial Differential Equations, Winter 205, Midterm Instructions. Write all solutions in the space provided, and use the back pages if you have to. 2. The test is out of 60. There

More information

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

Autumn 2015 Practice Final. Time Limit: 1 hour, 50 minutes Math 309 Autumn 2015 Practice Final December 2015 Time Limit: 1 hour, 50 minutes Name (Print): ID Number: This exam contains 9 pages (including this cover page) and 8 problems. Check to see if any pages

More information

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,

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, Problem 10.2.4 (p.613) Determine all solutions, if any, to the boundary value problem y + 9y = 0; 0 < x < π, y(0) = 0, y (π) = 6, by first finding a general solution to the differential equation. Solution.

More information

Separation of Variables

Separation of Variables Separation of Variables A typical starting point to study differential equations is to guess solutions of a certain form. Since we will deal with linear PDEs, the superposition principle will allow us

More information

Midterm Solution

Midterm Solution 18303 Midterm Solution Problem 1: SLP with mixed boundary conditions Consider the following regular) Sturm-Liouville eigenvalue problem consisting in finding scalars λ and functions v : [0, b] R b > 0),

More information

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

Lecture IX. Definition 1 A non-singular Sturm 1 -Liouville 2 problem consists of a second order linear differential equation of the form. Lecture IX Abstract When solving PDEs it is often necessary to represent the solution in terms of a series of orthogonal functions. One way to obtain an orthogonal family of functions is by solving a particular

More information

Math 3150 Problems Chapter 3

Math 3150 Problems Chapter 3 Name Math 15 Problems Chapter Due date: See the internet due date. Problems are collected once a week. Records are locked when the stack is returned. Records are only corrected, never appended. Submitted

More information

Chapter Parabolic Partial Differential Equations

Chapter Parabolic Partial Differential Equations hapter. Parabolic Partial Differential Equations After reading this chapter, you should be able to:. Use numerical methods to solve parabolic partial differential equations by explicit, implicit, and rank-nicolson

More information