Partial Differential Equations, Winter 2015

Similar documents
x ct x + t , and the characteristics for the associated transport equation would be given by the solution of the ode dx dt = 1 4. ξ = x + t 4.

HOMEWORK 4 1. P45. # 1.

MATH 425, HOMEWORK 5, SOLUTIONS

MATH 425, HOMEWORK 3 SOLUTIONS

Math 311, Partial Differential Equations, Winter 2015, Midterm

Homework for Math , Fall 2016

HOMEWORK 5. Proof. This is the diffusion equation (1) with the function φ(x) = e x. By the solution formula (6), 1. e (x y)2.

MATH 220: MIDTERM OCTOBER 29, 2015

Mathematical Methods - Lecture 9

PDEs, Homework #3 Solutions. 1. Use Hölder s inequality to show that the solution of the heat equation

Strauss PDEs 2e: Section Exercise 2 Page 1 of 6. Solve the completely inhomogeneous diffusion problem on the half-line

Diffusion on the half-line. The Dirichlet problem

MATH 425, FINAL EXAM SOLUTIONS

Math 342 Partial Differential Equations «Viktor Grigoryan

Chapter 3 Second Order Linear Equations

MATH 220: Problem Set 3 Solutions

LECTURE NOTES FOR MATH 124A PARTIAL DIFFERENTIAL EQUATIONS

Math 124A October 11, 2011

(The) Three Linear Partial Differential Equations

Strauss PDEs 2e: Section Exercise 3 Page 1 of 13. u tt c 2 u xx = cos x. ( 2 t c 2 2 x)u = cos x. v = ( t c x )u

Diffusion equation in one spatial variable Cauchy problem. u(x, 0) = φ(x)

Solutions to Homework # 1 Math 381, Rice University, Fall (x y) y 2 = 0. Part (b). We make a convenient change of variables:

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

UNIVERSITY OF MANITOBA

MATH 173: PRACTICE MIDTERM SOLUTIONS

MAT 122 Homework 7 Solutions

UNIVERSITY OF MANITOBA

Existence Theory: Green s Functions

The second-order 1D wave equation

There are five problems. Solve four of the five problems. Each problem is worth 25 points. A sheet of convenient formulae is provided.

Chapter 2: First Order DE 2.6 Exact DE and Integrating Fa

9 More on the 1D Heat Equation

Math 220A - Fall 2002 Homework 5 Solutions

Math 342 Partial Differential Equations «Viktor Grigoryan

Partial Differential Equations

Week 4 Lectures, Math 6451, Tanveer

Math 220a - Fall 2002 Homework 6 Solutions

First order wave equations. Transport equation is conservation law with J = cu, u t + cu x = 0, < x <.

MATH-UA 263 Partial Differential Equations Recitation Summary

Chapter 2 Boundary and Initial Data

Homework 3 solutions Math 136 Gyu Eun Lee 2016 April 15. R = b a

Partial Differential Equations

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

First order Partial Differential equations

Final: Solutions Math 118A, Fall 2013

Partial Differential Equations Summary

CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE

3 Applications of partial differentiation

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012

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

Lecture Notes in Mathematics. A First Course in Quasi-Linear Partial Differential Equations for Physical Sciences and Engineering Solution Manual

The first order quasi-linear PDEs

Instructor s Solutions Manual PARTIAL DIFFERENTIAL EQUATIONS. with FOURIER SERIES and BOUNDARY VALUE PROBLEMS. NAKHLÉ H. ASMAR University of Missouri

Some Aspects of Solutions of Partial Differential Equations

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

Lecture No 1 Introduction to Diffusion equations The heat equat

Boundary conditions. Diffusion 2: Boundary conditions, long time behavior

Math512 PDE Homework 2

Study Guide/Practice Exam 3

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

5.3. Exercises on the curve analysis of polynomial functions

Homework #3 Solutions

A First Course of Partial Differential Equations in Physical Sciences and Engineering

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

and verify that it satisfies the differential equation:

Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine

Math 212-Lecture 8. The chain rule with one independent variable

Solutions of differential equations using transforms

Alexei F. Cheviakov. University of Saskatchewan, Saskatoon, Canada. INPL seminar June 09, 2011

Calculus I Announcements

Wave Equation With Homogeneous Boundary Conditions

Math 4263 Homework Set 1

PDE and Boundary-Value Problems Winter Term 2014/2015

A review of stability and dynamical behaviors of differential equations:

z x = f x (x, y, a, b), z y = f y (x, y, a, b). F(x, y, z, z x, z y ) = 0. This is a PDE for the unknown function of two independent variables.

Applied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems.

4.1 Analysis of functions I: Increase, decrease and concavity

12.7 Heat Equation: Modeling Very Long Bars.

AM 205: lecture 14. Last time: Boundary value problems Today: Numerical solution of PDEs

MA 201: Partial Differential Equations D Alembert s Solution Lecture - 7 MA 201 (2016), PDE 1 / 20

APPM GRADUATE PRELIMINARY EXAMINATION PARTIAL DIFFERENTIAL EQUATIONS SOLUTIONS

PH.D. PRELIMINARY EXAMINATION MATHEMATICS

HOMEWORK 4: Numerical solution of PDEs for Mathmatical Models, Analysis and Simulation, Fall 2011 Report due Mon Nov 12, Maximum score 6.0 pts.

MATH20411 PDEs and Vector Calculus B

0.3.4 Burgers Equation and Nonlinear Wave

Applications of the Maximum Principle

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

Extra Problems and Examples

Math 211. Lecture #6. Linear Equations. September 9, 2002

Summer 2017 MATH Solution to Exercise 5

Ordinary Differential Equation Theory

MIT (Spring 2014)

Nonlocal Symmetry and Generating Solutions for the Inhomogeneous Burgers Equation

MATH 819 FALL We considered solutions of this equation on the domain Ū, where

PH.D. PRELIMINARY EXAMINATION MATHEMATICS

Deterministic Dynamic Programming

Differential equations, comprehensive exam topics and sample questions

Conservation Laws: Systematic Construction, Noether s Theorem, Applications, and Symbolic Computations.

UNIT 3 INTEGRATION 3.0 INTRODUCTION 3.1 OBJECTIVES. Structure

JUST THE MATHS UNIT NUMBER LAPLACE TRANSFORMS 3 (Differential equations) A.J.Hobson

Transcription:

Partial Differential Equations, Winter 215 Homework #2 Due: Thursday, February 12th, 215 1. (Chapter 2.1) Solve u xx + u xt 2u tt =, u(x, ) = φ(x), u t (x, ) = ψ(x). Hint: Factor the operator as we did for the wave equation. Rewrite the equation in operator form and factor 2 u x + 2 u 2 xt u 22 t = ( 2 = x + 5 t ) ( x 4 t Change variables, let ζ = ax + bt, η = cx + dt. Then x = a ζ + b η t = c ζ + d η. ) u = We will choose a, b, c, d. Add the two above equations as in the factorization, x + 5 t = (a + 5b) ζ x 4 t = (a 4b) ζ + (c + 5d) η + (c 4d) η To simplify our equations take b = 1, a = 5 and d = 1, c = 4. (ζ = 5x + t, η = 4x + t.) Then, x + 5 t = η x 4 t = ζ. 1

So our original equation becomes u ζ,η =. Integrating first by ζ, then ζ we get, u(ζ, η) = f(ζ) + g(η) (1) = u(x, y) = f(t 5x) + g(4x + t), (2) where f and g are arbitrary functions of one variable. This is the general solution to the problem. To find the particular solution we have to plug in the initial conditions to find formulas for f and g in terms of φ and ψ φ(x) = u(x, ) = f( 5x) + g(4x) (3) ψ(x) = u t (x, ) = f ( 5x) + g (4x). (4) Notice that we differentiated equation (2) with respect to t and then evaluated at t = to get equation (4). Now differentiating equation (3) with respect to x we get φ (x) = 5f ( 5x) + 4g (4x). (5) Adding and subtracting the right multiples of (5) and (4) gives the equations g (4x) = 5ψ(x) + φ (x) f ( 5x) = 4ψ(x) φ (x) We integrate each equation with respect to x to get Changing variables gives 4 g(4x) = 5 5 f( 5x) = 4 g(u) = 2 f(u) = 2 u/4 u/5 x x ψ(s)ds + φ(x) + c 1 ψ(s)ds φ(x) + c 2. ψ(s)ds + 4 φ(u/4) + c 1 ψ(s)ds + 5 φ( u/5) + c 2. Finally if you plug our results for g and f back into equation (3) you will find that c 1 + c 2 =. And so we have completely determined the solution, u(x, y) = f(t 5x) + g(4x + t) (6) = 2 + 2 (t 5x)/5 (4x+t)/4 ψ(s)ds + 5 φ( (t 5x)/5) ψ(s)ds + 4 (7) φ((4x + t)/4).

2. (Chapter 2.2) If we take account of air resistance in the wave equation, we have an extra term proportional to the speed, Show that the energy of this system, ρu tt T u xx + ru t =, where r >. E = 1 2 (ρu 2 t + T u 2 x)dx is decreasing in time. Take inside the integral and use the chain rule to get t de dt = 1 2 = = Integrate u t u xx by parts, dx(2ρu t u tt + T 2u x u xt ) dx(u t (T u xx ru t ) + T u x u xt dx T u t u xx dx + T u x u xt dx r(u t ) 2 dx. u t u xx dx = u t ux u tx u x dx. The first term on the right side is zero because we assume u(x, t) = for x R for some R >. And so using this identity we get de dt = r(u t ) 2 dx <. 3. (Chapter 2.3) The purpose of this exercise is to show that the maximum principle is not true for the equation u t = xu xx because it has a variable coefficient. (a) Verify that u(x, t) = 2xt x 2 is a solution. (b) Find the location of its maximum in the closed rectangle { 2 x 2, t 1} (Hint: it s not on the bottom, left, or right sides of the boundary.) (a) u t = 2x and u xx = 2 and so u t = xu xx.

(b) To find global max and min, find critical points. u t = = u x, which gives x =, t =. Apply the second derivative test. u xx = 2 <, and ( utt u det tx = 4 <. (8) u xt u xx ) x=,t= So t =, x = is a saddle point. There are no other critical points so the maxima and minima of u on the closed rectangle must occur on the boundary. i. Bottom side: 2 x 2, t =. u(x, ) = x 2. Max occurs at x = and is u(, ) =. ii. Left side: x = 2, t 1. u( 2, t) = 4t 4. Increasing so max occurs at t = 1 and is u( 2, 1) = iii. Right side: x = 2, t 1. u(2, t) = 4t 4. Decreasing so max occurs at t = and is u(2, ) = 4 iv. Top side: 2 x 2, t = 1. u(x, 1) = x 2 2x. Max occurs at x = 1 and is u( 1, 1) = 1. So indeed the max occurs on the top side. 4. (Chapter 2.3) Prove the comparison principle for the heat equation: if u = u(x, t) and v = v(x, t) are two solutions to w t = kw xx, on x l, t T, and if u(x, t) v(x, t) for t =, x =, and x = l, then u(x, t) v(x, t) for all x l and t T. (Hint: maximum principle) Let w = u v. w satisfies the diffusion equation. Moreover, w(x, ), w(, t), and w(l, t). So w on the boundaries t =, x =, x = l. By the maximum principle w ( = u v) on the whole closed rectangle. 5. (Chapter 2.4) Solve the diffusion equation u t = u xx with the initial condition u(x, ) = φ(x) = { 1, x < l, x l. Write your answer in terms of Erf(x). The solution is u(x, t) = S(x y)φ(y)dy,

with S(u) = exp ( x 2 /4t)/(2 πt) since κ = 1 in the equation. Using the definition of φ, u(x, t) = 1 l 2 dy exp ( (x y) 2 /4t) πt l = 1 l x du exp ( u 2 /), π l x where we have used the change of variable u = (y x)/(). Split the integral into two pieces, u(x, t) = 1 l x π du exp ( u 2 /) + 1 π l x du exp ( u 2 /). For the second term on the right hand side use the change of variable s = u and then use the definition of Erf to get, u(x, t) = 1 ( ( ) ( )) l x l + x Erf 2 2 + Erf t 6. (Chapter 2.4) Solve the equation u t = ku xx with the initial condition u(x, ) = x 2 by the following special method. First show that u xxx satisfies the heat equation with initial condition zero. Therefore, u xxx (x, t) = for all x and t. Integrating this result three times gives u(x, t) = A(t)x 2 +B(t)x+C(t). Finally, it is easy to solve for A, B, and C by plugging into the original problem. Let v = u xxx. Then v t = (u xxx ) t = (u t ) xxx by exchange of partials = (κu xx ) xxx = κ (u xxx ) xx = κv xx. So v satisfies the diffusion equation. Moreover, v(x, ) = u xxx (x, ) =. The only solution of the diffusion equation with initial condition zero is the zero function (check). So integrating with respect to x three times, u xxx (x, t) = = u(x, t) = A(t)x 2 + B(t)x + C(t), where A, B, C are arbitrary functions of t. And so, u t = A (t)x 2 + B (t)x + C (t), u xx = 2A(t).

Since u satisfies the diffusion equation u t = u xx, we get A (t)x 2 + B (t)x + C (t) = 2A(t). Equating the coefficients gives C (t) = 2A(t), B (t) =, A (t) =. And so A(t) = c 1, B(t) = c 2, and C(t) = 2c 1 + c 3, where c 1, c 2, c 3 are constants. Now put in the initial conditions, x 2 = u(x, ) = c 1 x 2 + c 2 x + 2c 1 t + c 3. Equate coefficients again to get c 1 = 1 and c 2 = = c 3. So u = x 2 + 2xt 7. (Chapter 2.4) Solve the equation u t = ku xx bu, x R, t > with u(x, ) = φ(x), where b > is a constant. This is called the heat equation with constant dissipation at rate b. (Hint: define v = v(x, t) by u(x, t) = e bt v(x, t) and check what PDE v satisfies. It should be something you are familiar with.) Let v(x, t) = e bt u(x, t). Then v t = be bt u + e bt u t = be bt u + e bt (κu x x bu) by the diffusion equality for u = κe bt u xx. Since v xx = e bt u xx, we get that v satisfies the usual diffusion equation. Moreover, v(x, ) = u(x, ) = φ(x). And so v(x, t) = S(x y, t)φ(y)dy = u(x, t) = e bt v(x, t) = e bt S(x y, t)φ(y)dy.