HOMEWORK 4 1. P45. # 1.

Similar documents
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.

Diffusion on the half-line. The Dirichlet problem

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

Partial Differential Equations, Winter 2015

MATH 425, HOMEWORK 3 SOLUTIONS

MATH 425, HOMEWORK 5, SOLUTIONS

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.

Heat Equation on Unbounded Intervals

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

LECTURE NOTES FOR MATH 124A PARTIAL DIFFERENTIAL EQUATIONS

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

Math 4263 Homework Set 1

Mathematical Methods - Lecture 9

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

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

UNIVERSITY OF MANITOBA

MATH 425, FINAL EXAM SOLUTIONS

Math 311, Partial Differential Equations, Winter 2015, Midterm

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

(The) Three Linear Partial Differential Equations

Math 342 Partial Differential Equations «Viktor Grigoryan

MIDTERM REVIEW FOR MATH The limit

Week 4 Lectures, Math 6451, Tanveer

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

Final Exam May 4, 2016

Homework for Math , Fall 2016

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

Some Aspects of Solutions of Partial Differential Equations

1 h 9 e $ s i n t h e o r y, a p p l i c a t i a n

Introduction to Differential Equations

Applications of the Maximum Principle

Math Partial Differential Equations 1

Lecture 17: Section 4.2

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

Maxima and Minima. (a, b) of R if

MATH 124A Solution Key HW 05

Problem Set 1. This week. Please read all of Chapter 1 in the Strauss text.

CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE

Partial Differential Equations

Math 5440 Problem Set 5 Solutions

PH.D. PRELIMINARY EXAMINATION MATHEMATICS

e (x y)2 /4kt φ(y) dy, for t > 0. (4)

MATH-UA 263 Partial Differential Equations Recitation Summary

My signature below certifies that I have complied with the University of Pennsylvania s Code of Academic Integrity in completing this exam.

Math 126 Final Exam Solutions

6 Non-homogeneous Heat Problems

MATH 220: MIDTERM OCTOBER 29, 2015

Wave Equation With Homogeneous Boundary Conditions

Suggested Solution to Assignment 7

SAMPLE FINAL EXAM SOLUTIONS

2.3 Calculus of variations

Homework # , Spring Due 14 May Convergence of the empirical CDF, uniform samples

MATH 220: Problem Set 3 Solutions

Homework #3 Solutions

Math 220A - Fall 2002 Homework 5 Solutions

MATH115. Indeterminate Forms and Improper Integrals. Paolo Lorenzo Bautista. June 24, De La Salle University

M343 Homework 3 Enrique Areyan May 17, 2013

AP Calculus Chapter 3 Testbank (Mr. Surowski)

Applied Mathematics Masters Examination Fall 2016, August 18, 1 4 pm.

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

Functional Analysis HW 2

SOLUTION OF THE DIRICHLET PROBLEM WITH A VARIATIONAL METHOD. 1. Dirichlet integral

Math 220a - Fall 2002 Homework 6 Solutions

1 Solution to Problem 2.1

Theory of PDE Homework 2

12.7 Heat Equation: Modeling Very Long Bars.

ASM Study Manual for Exam P, Second Edition By Dr. Krzysztof M. Ostaszewski, FSA, CFA, MAAA Errata

The Maximum and Minimum Principle

Lecture No 1 Introduction to Diffusion equations The heat equat

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

Solutions of Math 53 Midterm Exam I

volq = U(f, P 2 ). This finally gives

Chain Rule. MATH 311, Calculus III. J. Robert Buchanan. Spring Department of Mathematics

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

NONLOCAL DIFFUSION EQUATIONS

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

Heat/Di usion Equation. 2 = 0 k constant w(x; 0) = '(x) initial condition. ( w2 2 ) t (kww x ) x + k(w x ) 2 dx. (w x ) 2 dx 0.

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.

The first order quasi-linear PDEs

9 More on the 1D Heat Equation

Partial Differential Equations Summary

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012

4.1 Analysis of functions I: Increase, decrease and concavity

Math Homework 2

Math 260: Solving the heat equation

Final: Solutions Math 118A, Fall 2013

ODE Homework Solutions of Linear Homogeneous Equations; the Wronskian

The concentration of a drug in blood. Exponential decay. Different realizations. Exponential decay with noise. dc(t) dt.

( ) ( ). ( ) " d#. ( ) " cos (%) " d%

MA8109 Stochastic Processes in Systems Theory Autumn 2013

13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs)

Linear DifferentiaL Equation

First Order Differential Equations

C2 Differential Equations : Computational Modeling and Simulation Instructor: Linwei Wang

Lecture 22: Section 4.7

Section 12.6: Non-homogeneous Problems

2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

Verona Course April Lecture 1. Review of probability

1 Review of di erential calculus

Transcription:

HOMEWORK 4 SHUANGLIN SHAO P45 # Proof By the maximum principle, u(x, t x kt attains the maximum at the bottom or on the two sides When t, x kt x attains the maximum at x, ie, x When x, x kt kt attains the maximum in the interval t T When x, x kt kt attains the maximum in the interval t T Thus the maximum of u is in the closed rectangle { x, t T } P45 # Proof (a Let M(T the maximum of u(x, t in the closed rectangle { x l, t T } M(T is a decreasing function of T Indeed, when T T, the rectangle R { x l, t T } is contained in the rectangle R { x l, t T }; the bottom and the two lateral sides of R are contained in those of R On the other hand, the uniqueness of solutions to the diffusion equation shows that the solution u on R is an extension of u on R So by the maximum principle, M(T M(T (b Similarly as in proving (a, m(t is an increasing function of T 3 P45 #3 Proof (a By the strong maximum principle, u(x, t > in the interior points < x <, < t < because the minimum value of u,, is attained at the boundary point, and at the two lateral sides

(b We follow the hint Let µ(t the maximum of u(x, t over x Let X(t [, ] such that µ(t u(x(t, t On the two lateral sides, the value of u is By part (a, µ(t > So X(t (, On the point (X(t, t, following the proof of the maximum principle in the book, So we differentiate µ in t, u x (X(t, t, u t (X(t, t µ (t u x X (t + u t u t We can establish it by a different method For each t >, let µ(t the maximum of u(x, t over x By part (a, u(x, t for all x, t Then µ(t for t > Suppose that < t < t Define R(t, t { x, t t t } Since the value of u is on the two lateral sides, by the maximum principle, the maximum of u on R(t, t is µ(t This implies that µ(t µ(t So µ is decreasing in t > 4 P46 # 4 Proof (a On the two lateral sides and on the bottom, the minimum and the maximum of u is and 4, respectively So by the strong maximum principle, < u(x, t < (b Both u(x, t and u( x, t satisfy the equation u t ku xx and the two lateral side conditions, and the initial condition By the uniqueness theorem for the diffusion equation, u(x, t u( x, t (c Let E(t (u(x, t dx

We differentiate it in t, de(t dt k uu t dx uu xx dx uu x x x k (u x dx k (u x dx So E(t is decreasing in t 5 P46 # 6 Proof We prove it by considering the difference w v u The function w(x, t satisfies the equation w t kw xx, with w being nonnegative when either t, orx or x l By the maximum principle, the minimum value of w is attained when either t, or x or x l So Thus for t < and x l w u v 6 P5 # Proof The function φ satisfies that So the solution u is u(x, t φ(x, x < l; φ(x, x > l l l l e (x y φ(ydy e (x y dy l e (x y dy 3

For the first integral, l l x e ( y x dy l x π l x Erf( Similarly for the second integral, e z dz e z dz Hence l l+x e ( y x dy l+x π l+x Erf( u(x, t e z dz e z dz Erf( l x l+x Erf( 7 P5 # Proof The function φ satisfies that So the solution u is u(x, t φ(x, for x > ; φ(x 3, for x < e (x y φ(ydy e (x y dy + 3 e (x y dy 4

For the first integral, π Erf( x x e ( x y dy e z ( dz x e z dz Similarly for the second integral, 3 3 3 π e ( y x dy x x 3Erf( x e z dz e z dz Hence u(x, t Erf( x + 3Erf( x 5

8 P5 # 3 Proof u(x, t e3x 9kt e3x 9kt π e 3x 9kt e (x y φ(ydy e (x y +3y dy e x xy+y +kyt dy e (y x+6kt +kxt 36k t dy e (y x+6kt +3x 9kt dy ( e y x+6kt dy e y dy 9 P5 # 6 Proof Let A e x dx e x dx Thus A e x y dxdy 4 e (x +y dxdy 4 R 4 π 4 π 4 π ( 4 e r πrdr e r d(r e x dx π 4 6

So A π P5 #7 Proof From Exercise # 6, If setting p x, we have e p dp e x dx π which implies that π e x dx π S(x, tdx, S(x, tdx P53 # 8 Proof Let Since S is even function in x, S(x, t πkt e x S(x, t S( x, t Thus S(x, t S( x, t max S(x, t max S(x, t δ x < δ x< For each t >, the function S(x, t is decreasing on the interval [δ, Hence max S(x, t δ x< πkt e δ 7

We will apply the L Hospital rule to show that e δ / goes to zero as t goes to zero πk lim t / t e δ πk lim t δ t/ e δ k which goes to zero as both t / and e δ This proves the claim /t 3/ e δ δ go to zero when t goes to zero P53 # 5 Proof Let u, v be two solutions to the diffusion equation with Neumann boundary conditions Let w u v Then w satisfies the following system of equations: w t kw xx w(x,, w x (, t, w x (l, t We multiply the equation by w to obtain w(w t kw xx Thus d(w k(w x w x + kwx dt Integrating both sides and using the boundary conditions, we see that d w dx + k w dt xdx Since k, we see that the quantity w dx is decreasing for t > Thus (u(x, t v(x, t dx w (x, dx This implies that u(x, t v(x, t for all x, t This proves the uniqueness 8

3 P 54 # 6 Proof We set u(x, t e bt v(x, t We substitute u into the equation u t ku xx + bu e bt ( bv + v t kv xx + bv Thus v t kv xx The initial condition changes to v(x, φ(x formula for the homogeneous diffusion equation, where v(x, t S(x, t S(x y, tφ(ydy, e x Hence by the solution Therefore u(x, t e bt S(x y, tφ(ydy This is the solution Department of Mathematics, KU, Lawrence, KS 6645 E-mail address: slshao@mathkuedu 9