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

Size: px
Start display at page:

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

Transcription

1 MATH 89 FALL. The D linear wave equation weak solutions We have considered the initial value problem for the wave equation in one space dimension: (a) (b) (c) u tt u xx = f(x, t) u(x, ) = g(x), u t (x, ) = h(x) We considered solutions of this equation on the domain Ū, where = (, ), Ū = [, )... Definition. A function u is called a classical solution to () if u C (Ū), and if u satisfies ()... Definition. A function u C (Ū) is a weak solution to () if for every ϕ Cc (Ū) one has () ϕfdxdt ϕ(x, )h(x) ϕt (x, )g(x) ( ) dx = ϕtt ϕ xx u dxdt..3. Theorem (consistency of classical and weak). Every classical solution is a weak solution. (The proof: start with ϕfdxdt = (u tt u xx )ϕdxdt and integrate by parts.).4. Theorem (explicit formula for all weak solutions). If u is a weak solution of () then it is given by (3) u(x, t) = g(x t) g(x t) h(x )dx T (x,t) f(x, t ) dx dt, where T (x, t) is the triangle with vertices (x, t), (x t, ) and (x t, ). About the proof: If u is a classical solution then you can derive (3) by integrating u tt u xx over the triangle T (x, t) and applying Green s theorem. To prove the general case choose a point ( x, t) and an appropriate test function ϕ ε ϕε(x, t) = ψ ( x t x t ) ( x t x t) ψ ε ε where ψ : is a smooth (C ) function which is nondecreasing, and which satisfies ψ(s) = for s, ψ(s) = for s. Let ε and carefully compute the limits of all the integrals you have in (). The result is (3).

2 MATH 89 FALL.5. Theorem (about convergence of weak solutions). Let u n be a sequence of weak solutions with data (f n, g n, h n ). Assume that (f n, g n, h n, u n ) converge uniformly on compact sets to (f, g, h, u). Then u is also a weak solution with data (f, g, h). This theorem is one reason to introduce weak solutions: note that one doesn t assume that the derivatives of the solutions converge, just the solutions u n themselves..6. Theorem (about existence of weak solutions). If f, g, h are continuous functions then the function u defined by (3) is a weak solution of (). About the proof: When f C, h C and g C then you can check that u is in fact a classical solution to (). To prove the general case where (f, g, h) are merely continuous, we used an approximation argument.. Problems se the definitions and theorems above to solve these problems:.. Homogeneous wave equation. Assume f =. (a) Show that every weak solution u can be written as u(x, t) = α(x t) β(x t). for certain functions α, β :. (b) elate the functions α, β to the initial values g, h. (c) Suppose α, β C () are arbitrary continuous functions; is u(x, t) = α(x t) β(x t) then necessarily a weak solution according to our definition.?.. An example of weak solutions. The function u(x, t) = x satisfies the wave equation u tt u xx = for all (x, t) except x =, t >. It also satisfies u(x, ) = x and u t (x, ) = for all x. (a) Find the weak solution to () with f =, g(x) = x and h(x) =. (b) Is u a weak solution to the wave equation?.3. Another example. The function x t x, u(x, t) = x < satisfies the homogeneous wave equation for all (x, t) except x = again. Find the weak solution of u tt u xx = with u(x, ) = x for x >, u(x, ) = for x < and u t (x, ) = for all x..4. An example involving convergence. Consider u n (x, t) = n cos(nx) cos(nt). (a) Show that each u n is a classical solution of () with f =, h = and g n = n cos nx. (b) Show that the u n converge uniformly, and verify that the limit is again a solution. (c) Do the partial derivatives of first and second order converge as n?

3 MATH 89 FALL 3 3. Semilinear equations Let f : be a function, and consider the semilinear wave equation (4) u tt u xx = f(u), u(x, ) = g(x) and u t (x, ) = h(x). Examples are the Klein-Gordon equation u tt u xx = m u, with m > a constant, and the Sine-Gordon equation u tt u xx = sin u. 3.. Definition. A function u C (Ū) is a weak solution to (4) if u is a weak solution to the equation u tt u xx = F (x, t), where F (x, t) = f(u(x, t)). u(x, ) = g(x) and u t (x, ) = h(x). 3.. Theorem. (Existence) If f : is Lipschitz continuous then (4) has a unique weak solution u C (Ū) for any initial data g, h C (). The proof proceeds by applying Picard-iteration to the integral equation u(x, t) = u (x, t) f(u(x, t ))dx dt. where T (x,t) u def = g(x t) g(x t) h(x )dx 3.3. Theorem. (Local Existence) Let g, h C () be given. If f : is continuously differentiable, then there exist a T >, and a u C ( [, T )) such that u is a weak solution to (4) on [, T ). This theorem follows by applying the previous theorem to a modified f. Let f(u) for u M, f M (u) = f(m) for u > M and f( M) for u < M The f M is Lipschitz continuous and the initial value problem u tt u xx = f M (u), u(x, ) = g(x) and u t (x, ) = h(x). has a unique solution u M C (Ū). If M > sup g(x) then there exists a T > such that u M (x, t) < M for all t [, T ). Hence u M is a weak solution of the original equation (4) for (x, t) [, T ) Theorem. (niqueness)let u, u be weak solutions on [, T ) of (4) with initial data (g, h ) and (g, h ) respectively. If g (x) = g (x) and h (x) = h (x) on an interval ( x t, x t), then u = u on the triangle (x, t) : t t, x x < t t.

4 4 MATH 89 FALL Let u be the weak solution of u(x, t) = f(x, t), 4. egularity u(x, ) = g(x), u t (x, ) = h(x). so that u is given by (4). If u were a smooth solution, and if f, g, h were differentiable functions, then you could differentiate the PDE w.r.t. x or t. You would find that v = u x and w = u t satisfy (5) v = f x, with initial conditions v = g x, v t = h x and (6) w = f t, with initial conditions w = h, w t = g xx f(x, ) If the data (f, g, h) are merely continuous then the solution u need not be differentiable. In general it can happen that the solution is differentiable (u C ), but that the derivatives v = u x and w = u t are not weak solutions of the above equations (6) and (5). The explicit solution (3) implies that for arbitrary continuous f, g, h one has a weak solution which is continuous. By differentiating the integrals in (5) one can prove that to get a solution u C (i.e. one for which u x and u t are continuous) you only have to assume that g C (): 4.. Theorem. If u C (Ū) is the weak solution to (), then (7) f, h C, g C = u C Proof: you have u(x, t) = g(x t) g(x t) h(x )dx t t t f(x, t ) dx dt. If f, h C, g C then you can differentiate under the integral and conclude that u x, u t are continuous on Ū. This Theorem does not imply that (5) and (6) hold. To prove that it turns out that you also need f x, f t, h x, g x and g xx to exist and to be continuous. (8) h C, f C, g C = u C and u t and u x are weak solutions of (5) and (6). 4.. Proof that u x satisfies (5). There are at least two proofs: you can use the integral form (3) of the solution, or you can directly use the definition. of weak solution. To prove that u x satisfies (5) we must show that for every test function ϕ Cc (Ū) one has (9) ϕ u x dxdt ϕ t g x ϕh x dx = ϕf x dxdt. Integrate by parts twice in the first double integral: ϕ u x dxdt = ϕ x udxdt.

5 MATH 89 FALL 5 If ϕ is a test function then so is ϕ x, so, since u is a weak solution we get ϕ x udxdt = ϕ xt g ϕ x hdx ϕ x fdxdt. Integrate by parts in the x direction again, and you find ϕ x udxdt = ϕ t g x ϕh x dx ϕf x dxdt. This implies (9). 5. Problems 5.. An example. Give an example of a solution of u =, u(x, ) = g(x), u t (x, ) = h(x) for which u C (Ū) v = u x is not a weak solution of v =, u(x, ) = g(x), u t (x, ) = h(x) for any g, h C (). Can you find such a solution u if h(x) =? 5.. Proof that u t satisfies (6). Above in 4. we proved half of (8). Prove the other half, i.e. prove directly from the definition of weak solution that u t satisfies (6) under the hypotheses in (8) Higher regularity. Show by induction on n that if u is a weak solution of u = f(x, t), u(x, ) = g(x), u t (x, ) = h(x) then f C n (Ū), g Cn (), h C n () = u C n (Ū) egularity for semilinear equations. Let n. Suppose that f : is a C n function, and let u C ( [, T )) be a maximal weak solution of u = f(u), u(x, ) = g(x), u t (x, ) = h(x) with g C n () and h C n (). Show that u C n ( [, T )). In other words, show that the solution is as smooth as the initial data. (Hint: use the previous problem and proceed with induction on n.)

Math 4263 Homework Set 1

Math 4263 Homework Set 1 Homework Set 1 1. Solve the following PDE/BVP 2. Solve the following PDE/BVP 2u t + 3u x = 0 u (x, 0) = sin (x) u x + e x u y = 0 u (0, y) = y 2 3. (a) Find the curves γ : t (x (t), y (t)) such that that

More information

d(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N

d(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N Problem 1. Let f : A R R have the property that for every x A, there exists ɛ > 0 such that f(t) > ɛ if t (x ɛ, x + ɛ) A. If the set A is compact, prove there exists c > 0 such that f(x) > c for all x

More information

MATH 220: MIDTERM OCTOBER 29, 2015

MATH 220: MIDTERM OCTOBER 29, 2015 MATH 22: MIDTERM OCTOBER 29, 25 This is a closed book, closed notes, no electronic devices exam. There are 5 problems. Solve Problems -3 and one of Problems 4 and 5. Write your solutions to problems and

More information

1 Wave Equation on Finite Interval

1 Wave Equation on Finite Interval 1 Wave Equation on Finite Interval 1.1 Wave Equation Dirichlet Boundary Conditions u tt (x, t) = c u xx (x, t), < x < l, t > (1.1) u(, t) =, u(l, t) = u(x, ) = f(x) u t (x, ) = g(x) First we present the

More information

Math Partial Differential Equations 1

Math Partial Differential Equations 1 Math 9 - Partial Differential Equations Homework 5 and Answers. The one-dimensional shallow water equations are h t + (hv) x, v t + ( v + h) x, or equivalently for classical solutions, h t + (hv) x, (hv)

More information

Exercise 1. Let f be a nonnegative measurable function. Show that. where ϕ is taken over all simple functions with ϕ f. k 1.

Exercise 1. Let f be a nonnegative measurable function. Show that. where ϕ is taken over all simple functions with ϕ f. k 1. Real Variables, Fall 2014 Problem set 3 Solution suggestions xercise 1. Let f be a nonnegative measurable function. Show that f = sup ϕ, where ϕ is taken over all simple functions with ϕ f. For each n

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

Sobolev Spaces. Chapter 10

Sobolev Spaces. Chapter 10 Chapter 1 Sobolev Spaces We now define spaces H 1,p (R n ), known as Sobolev spaces. For u to belong to H 1,p (R n ), we require that u L p (R n ) and that u have weak derivatives of first order in L p

More information

MATH 173: PRACTICE MIDTERM SOLUTIONS

MATH 173: PRACTICE MIDTERM SOLUTIONS MATH 73: PACTICE MIDTEM SOLUTIONS This is a closed book, closed notes, no electronic devices exam. There are 5 problems. Solve all of them. Write your solutions to problems and in blue book #, and your

More information

Math 5587 Midterm II Solutions

Math 5587 Midterm II Solutions Math 5587 Midterm II Solutions Prof. Jeff Calder November 3, 2016 Name: Instructions: 1. I recommend looking over the problems first and starting with those you feel most comfortable with. 2. Unless otherwise

More information

MATH 220: Problem Set 3 Solutions

MATH 220: Problem Set 3 Solutions MATH 220: Problem Set 3 Solutions Problem 1. Let ψ C() be given by: 0, x < 1, 1 + x, 1 < x < 0, ψ(x) = 1 x, 0 < x < 1, 0, x > 1, so that it verifies ψ 0, ψ(x) = 0 if x 1 and ψ(x)dx = 1. Consider (ψ j )

More information

COMPLETE METRIC SPACES AND THE CONTRACTION MAPPING THEOREM

COMPLETE METRIC SPACES AND THE CONTRACTION MAPPING THEOREM COMPLETE METRIC SPACES AND THE CONTRACTION MAPPING THEOREM A metric space (M, d) is a set M with a metric d(x, y), x, y M that has the properties d(x, y) = d(y, x), x, y M d(x, y) d(x, z) + d(z, y), x,

More information

Math 140A - Fall Final Exam

Math 140A - Fall Final Exam Math 140A - Fall 2014 - Final Exam Problem 1. Let {a n } n 1 be an increasing sequence of real numbers. (i) If {a n } has a bounded subsequence, show that {a n } is itself bounded. (ii) If {a n } has a

More information

Final: Solutions Math 118A, Fall 2013

Final: Solutions Math 118A, Fall 2013 Final: Solutions Math 118A, Fall 2013 1. [20 pts] For each of the following PDEs for u(x, y), give their order and say if they are nonlinear or linear. If they are linear, say if they are homogeneous or

More information

Math 321 Final Examination April 1995 Notation used in this exam: N. (1) S N (f,x) = f(t)e int dt e inx.

Math 321 Final Examination April 1995 Notation used in this exam: N. (1) S N (f,x) = f(t)e int dt e inx. Math 321 Final Examination April 1995 Notation used in this exam: N 1 π (1) S N (f,x) = f(t)e int dt e inx. 2π n= N π (2) C(X, R) is the space of bounded real-valued functions on the metric space X, equipped

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

Midterm Exam, Thursday, October 27

Midterm Exam, Thursday, October 27 MATH 18.152 - MIDTERM EXAM 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Midterm Exam, Thursday, October 27 Answer questions I - V below. Each question is worth 20 points, for a total of

More information

Metric Spaces. Exercises Fall 2017 Lecturer: Viveka Erlandsson. Written by M.van den Berg

Metric Spaces. Exercises Fall 2017 Lecturer: Viveka Erlandsson. Written by M.van den Berg Metric Spaces Exercises Fall 2017 Lecturer: Viveka Erlandsson Written by M.van den Berg School of Mathematics University of Bristol BS8 1TW Bristol, UK 1 Exercises. 1. Let X be a non-empty set, and suppose

More information

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

There are five problems. Solve four of the five problems. Each problem is worth 25 points. A sheet of convenient formulae is provided. Preliminary Examination (Solutions): Partial Differential Equations, 1 AM - 1 PM, Jan. 18, 16, oom Discovery Learning Center (DLC) Bechtel Collaboratory. Student ID: There are five problems. Solve four

More information

Lucio Demeio Dipartimento di Ingegneria Industriale e delle Scienze Matematiche

Lucio Demeio Dipartimento di Ingegneria Industriale e delle Scienze Matematiche Scuola di Dottorato THE WAVE EQUATION Lucio Demeio Dipartimento di Ingegneria Industriale e delle Scienze Matematiche Lucio Demeio - DIISM wave equation 1 / 44 1 The Vibrating String Equation 2 Second

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordinary Differential Equations (MA102 Mathematics II) Shyamashree Upadhyay IIT Guwahati Shyamashree Upadhyay ( IIT Guwahati ) Ordinary Differential Equations 1 / 1 Books Shyamashree Upadhyay ( IIT Guwahati

More information

Math 124A October 11, 2011

Math 124A October 11, 2011 Math 14A October 11, 11 Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This corresponds to a string of infinite length. Although

More information

MATH 425, FINAL EXAM SOLUTIONS

MATH 425, FINAL EXAM SOLUTIONS MATH 425, FINAL EXAM SOLUTIONS Each exercise is worth 50 points. Exercise. a The operator L is defined on smooth functions of (x, y by: Is the operator L linear? Prove your answer. L (u := arctan(xy u

More information

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.

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. Printed Name: Signature: Applied Math Qualifying Exam 11 October 2014 Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems. 2 Part 1 (1) Let Ω be an open subset of R

More information

Lecture Notes on PDEs

Lecture Notes on PDEs Lecture Notes on PDEs Alberto Bressan February 26, 2012 1 Elliptic equations Let IR n be a bounded open set Given measurable functions a ij, b i, c : IR, consider the linear, second order differential

More information

3 (Due ). 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?

3 (Due ). 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? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable

More information

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books.

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books. Applied Analysis APPM 44: Final exam 1:3pm 4:pm, Dec. 14, 29. Closed books. Problem 1: 2p Set I = [, 1]. Prove that there is a continuous function u on I such that 1 ux 1 x sin ut 2 dt = cosx, x I. Define

More information

Entrance Exam, Real Analysis September 1, 2017 Solve exactly 6 out of the 8 problems

Entrance Exam, Real Analysis September 1, 2017 Solve exactly 6 out of the 8 problems September, 27 Solve exactly 6 out of the 8 problems. Prove by denition (in ɛ δ language) that f(x) = + x 2 is uniformly continuous in (, ). Is f(x) uniformly continuous in (, )? Prove your conclusion.

More information

Partial Differential Equations

Partial Differential Equations Part II Partial Differential Equations Year 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2015 Paper 4, Section II 29E Partial Differential Equations 72 (a) Show that the Cauchy problem for u(x,

More information

UNIVERSITY OF MANITOBA

UNIVERSITY OF MANITOBA Question Points Score INSTRUCTIONS TO STUDENTS: This is a 6 hour examination. No extra time will be given. No texts, notes, or other aids are permitted. There are no calculators, cellphones or electronic

More information

SOLUTIONS OF SEMILINEAR WAVE EQUATION VIA STOCHASTIC CASCADES

SOLUTIONS OF SEMILINEAR WAVE EQUATION VIA STOCHASTIC CASCADES Communications on Stochastic Analysis Vol. 4, No. 3 010) 45-431 Serials Publications www.serialspublications.com SOLUTIONS OF SEMILINEAR WAVE EQUATION VIA STOCHASTIC CASCADES YURI BAKHTIN* AND CARL MUELLER

More information

MATH 217A HOMEWORK. P (A i A j ). First, the basis case. We make a union disjoint as follows: P (A B) = P (A) + P (A c B)

MATH 217A HOMEWORK. P (A i A j ). First, the basis case. We make a union disjoint as follows: P (A B) = P (A) + P (A c B) MATH 217A HOMEWOK EIN PEASE 1. (Chap. 1, Problem 2. (a Let (, Σ, P be a probability space and {A i, 1 i n} Σ, n 2. Prove that P A i n P (A i P (A i A j + P (A i A j A k... + ( 1 n 1 P A i n P (A i P (A

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

(3) Let Y be a totally bounded subset of a metric space X. Then the closure Y of Y

(3) Let Y be a totally bounded subset of a metric space X. Then the closure Y of Y () Consider A = { q Q : q 2 2} as a subset of the metric space (Q, d), where d(x, y) = x y. Then A is A) closed but not open in Q B) open but not closed in Q C) neither open nor closed in Q D) both open

More information

Principle of Mathematical Induction

Principle of Mathematical Induction Advanced Calculus I. Math 451, Fall 2016, Prof. Vershynin Principle of Mathematical Induction 1. Prove that 1 + 2 + + n = 1 n(n + 1) for all n N. 2 2. Prove that 1 2 + 2 2 + + n 2 = 1 n(n + 1)(2n + 1)

More information

Ordinary Differential Equation Theory

Ordinary Differential Equation Theory Part I Ordinary Differential Equation Theory 1 Introductory Theory An n th order ODE for y = y(t) has the form Usually it can be written F (t, y, y,.., y (n) ) = y (n) = f(t, y, y,.., y (n 1) ) (Implicit

More information

h(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote

h(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote Real Variables, Fall 4 Problem set 4 Solution suggestions Exercise. Let f be of bounded variation on [a, b]. Show that for each c (a, b), lim x c f(x) and lim x c f(x) exist. Prove that a monotone function

More information

UNIVERSITY OF MANITOBA

UNIVERSITY OF MANITOBA DATE: May 8, 2015 Question Points Score INSTRUCTIONS TO STUDENTS: This is a 6 hour examination. No extra time will be given. No texts, notes, or other aids are permitted. There are no calculators, cellphones

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

Solutions to Problem Set 5 for , Fall 2007

Solutions to Problem Set 5 for , Fall 2007 Solutions to Problem Set 5 for 18.101, Fall 2007 1 Exercise 1 Solution For the counterexample, let us consider M = (0, + ) and let us take V = on M. x Let W be the vector field on M that is identically

More information

Iowa State University. Instructor: Alex Roitershtein Summer Homework #5. Solutions

Iowa State University. Instructor: Alex Roitershtein Summer Homework #5. Solutions Math 50 Iowa State University Introduction to Real Analysis Department of Mathematics Instructor: Alex Roitershtein Summer 205 Homework #5 Solutions. Let α and c be real numbers, c > 0, and f is defined

More information

Green s Functions and Distributions

Green s Functions and Distributions CHAPTER 9 Green s Functions and Distributions 9.1. Boundary Value Problems We would like to study, and solve if possible, boundary value problems such as the following: (1.1) u = f in U u = g on U, where

More information

The Fourier series for a 2π-periodic function

The Fourier series for a 2π-periodic function The Fourier series for a 2π-periodic function Let f : ( π, π] R be a bounded piecewise continuous function which we continue to be a 2π-periodic function defined on R, i.e. f (x + 2π) = f (x), x R. The

More information

Selected solutions for Homework 9

Selected solutions for Homework 9 Math 424 B / 574 B Due Wednesday, Dec 09 Autumn 2015 Selected solutions for Homework 9 This file includes solutions only to those problems we did not have time to cover in class. We need the following

More information

Maths 212: Homework Solutions

Maths 212: Homework Solutions Maths 212: Homework Solutions 1. The definition of A ensures that x π for all x A, so π is an upper bound of A. To show it is the least upper bound, suppose x < π and consider two cases. If x < 1, then

More information

u xx + u yy = 0. (5.1)

u xx + u yy = 0. (5.1) Chapter 5 Laplace Equation The following equation is called Laplace equation in two independent variables x, y: The non-homogeneous problem u xx + u yy =. (5.1) u xx + u yy = F, (5.) where F is a function

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

McGill University Department of Mathematics and Statistics. Ph.D. preliminary examination, PART A. PURE AND APPLIED MATHEMATICS Paper BETA

McGill University Department of Mathematics and Statistics. Ph.D. preliminary examination, PART A. PURE AND APPLIED MATHEMATICS Paper BETA McGill University Department of Mathematics and Statistics Ph.D. preliminary examination, PART A PURE AND APPLIED MATHEMATICS Paper BETA 17 August, 2018 1:00 p.m. - 5:00 p.m. INSTRUCTIONS: (i) This paper

More information

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?

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? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due 9/5). Prove that every countable set A is measurable and µ(a) = 0. 2 (Bonus). Let A consist of points (x, y) such that either x or y is

More information

Vector hysteresis models

Vector hysteresis models Euro. Jnl. Appl. Math. 2 (99), 28 292 Vector hysteresis models Pavel Krejčí Matematický ústav ČSAV, Žitná 25 5 67 Praha, Czechoslovakia Key words: vector hysteresis operator, hysteresis potential, differential

More information

SAMPLE FINAL EXAM SOLUTIONS

SAMPLE FINAL EXAM SOLUTIONS LAST (family) NAME: FIRST (given) NAME: ID # : MATHEMATICS 3FF3 McMaster University Final Examination Day Class Duration of Examination: 3 hours Dr. J.-P. Gabardo THIS EXAMINATION PAPER INCLUDES 22 PAGES

More information

Last name: name: 1. (B A A B)dx = (A B) = (A B) nds. which implies that B Adx = A Bdx + (A B) nds.

Last name: name: 1. (B A A B)dx = (A B) = (A B) nds. which implies that B Adx = A Bdx + (A B) nds. Last name: name: Notes, books, and calculators are not authorized. Show all your work in the blank space you are given on the exam sheet. Answers with no justification will not be graded. Question : Let

More information

Nonlinear Diffusion in Irregular Domains

Nonlinear Diffusion in Irregular Domains Nonlinear Diffusion in Irregular Domains Ugur G. Abdulla Max-Planck Institute for Mathematics in the Sciences, Leipzig 0403, Germany We investigate the Dirichlet problem for the parablic equation u t =

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

FINAL REVIEW Answers and hints Math 311 Fall 2017

FINAL REVIEW Answers and hints Math 311 Fall 2017 FINAL RVIW Answers and hints Math 3 Fall 7. Let R be a Jordan region and let f : R be integrable. Prove that the graph of f, as a subset of R 3, has zero volume. Let R be a rectangle with R. Since f is

More information

Math Ordinary Differential Equations

Math Ordinary Differential Equations Math 411 - Ordinary Differential Equations Review Notes - 1 1 - Basic Theory A first order ordinary differential equation has the form x = f(t, x) (11) Here x = dx/dt Given an initial data x(t 0 ) = x

More information

Section 2.8: The Existence and Uniqueness Theorem

Section 2.8: The Existence and Uniqueness Theorem Section 2.8: The Existence and Uniqueness Theorem MATH 351 California State University, Northridge March 10, 2014 MATH 351 (Differetial Equations) Sec. 2.8 March 10, 2014 1 / 26 Theorem 2.4.2 in Section

More information

Math 600 Day 2: Review of advanced Calculus

Math 600 Day 2: Review of advanced Calculus Math 600 Day 2: Review of advanced Calculus Ryan Blair University of Pennsylvania Tuesday September 14, 2010 Ryan Blair (U Penn) Math 600 Day 2: Review of advanced Calculus Tuesday September 14, 2010 1

More information

McGill University April 16, Advanced Calculus for Engineers

McGill University April 16, Advanced Calculus for Engineers McGill University April 16, 2014 Faculty of cience Final examination Advanced Calculus for Engineers Math 264 April 16, 2014 Time: 6PM-9PM Examiner: Prof. R. Choksi Associate Examiner: Prof. A. Hundemer

More information

Math 2930 Worksheet Wave Equation

Math 2930 Worksheet Wave Equation Math 930 Worksheet Wave Equation Week 13 November 16th, 017 Question 1. Consider the wave equation a u xx = u tt in an infinite one-dimensional medium subject to the initial conditions u(x, 0) = 0 u t

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Existence, stability and instability for Einstein-scalar field Lichnerowicz equations by Emmanuel Hebey

Existence, stability and instability for Einstein-scalar field Lichnerowicz equations by Emmanuel Hebey Existence, stability and instability for Einstein-scalar field Lichnerowicz equations by Emmanuel Hebey Joint works with Olivier Druet and with Frank Pacard and Dan Pollack Two hours lectures IAS, October

More information

On second order sufficient optimality conditions for quasilinear elliptic boundary control problems

On second order sufficient optimality conditions for quasilinear elliptic boundary control problems On second order sufficient optimality conditions for quasilinear elliptic boundary control problems Vili Dhamo Technische Universität Berlin Joint work with Eduardo Casas Workshop on PDE Constrained Optimization

More information

Lecture Notes 4: Fourier Series and PDE s

Lecture Notes 4: Fourier Series and PDE s Lecture Notes 4: Fourier Series and PDE s 1. Periodic Functions A function fx defined on R is caed a periodic function if there exists a number T > such that fx + T = fx, x R. 1.1 The smaest number T for

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

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

Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine Lecture 2 The wave equation Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine V1.0 28/09/2018 1 Learning objectives of this lecture Understand the fundamental properties of the wave equation

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

MATH 425, HOMEWORK 5, SOLUTIONS

MATH 425, HOMEWORK 5, SOLUTIONS MATH 425, HOMEWORK 5, SOLUTIONS Exercise (Uniqueness for the heat equation on R) Suppose that the functions u, u 2 : R x R t R solve: t u k 2 xu = 0, x R, t > 0 u (x, 0) = φ(x), x R and t u 2 k 2 xu 2

More information

, but still n=0 b n = b n = 1 n 6 n k=1k 5 a k. sin(x 2 + ax)

, but still n=0 b n = b n = 1 n 6 n k=1k 5 a k. sin(x 2 + ax) Analysis SEP Summer 25 Problem. (a)suppose (a n ) n= is a sequence of nonnegative real numbers such that n= a n

More information

consists of two disjoint copies of X n, each scaled down by 1,

consists of two disjoint copies of X n, each scaled down by 1, Homework 4 Solutions, Real Analysis I, Fall, 200. (4) Let be a topological space and M be a σ-algebra on which contains all Borel sets. Let m, µ be two positive measures on M. Assume there is a constant

More information

Problem 3. Give an example of a sequence of continuous functions on a compact domain converging pointwise but not uniformly to a continuous function

Problem 3. Give an example of a sequence of continuous functions on a compact domain converging pointwise but not uniformly to a continuous function Problem 3. Give an example of a sequence of continuous functions on a compact domain converging pointwise but not uniformly to a continuous function Solution. If we does not need the pointwise limit of

More information

Math 201 Handout 1. Rich Schwartz. September 6, 2006

Math 201 Handout 1. Rich Schwartz. September 6, 2006 Math 21 Handout 1 Rich Schwartz September 6, 26 The purpose of this handout is to give a proof of the basic existence and uniqueness result for ordinary differential equations. This result includes the

More information

Nonlinear stabilization via a linear observability

Nonlinear stabilization via a linear observability via a linear observability Kaïs Ammari Department of Mathematics University of Monastir Joint work with Fathia Alabau-Boussouira Collocated feedback stabilization Outline 1 Introduction and main result

More information

McGill University April 20, Advanced Calculus for Engineers

McGill University April 20, Advanced Calculus for Engineers McGill University April 0, 016 Faculty of Science Final examination Advanced Calculus for Engineers Math 64 April 0, 016 Time: PM-5PM Examiner: Prof. R. Choksi Associate Examiner: Prof. A. Hundemer Student

More information

Calculus of Variations. Final Examination

Calculus of Variations. Final Examination Université Paris-Saclay M AMS and Optimization January 18th, 018 Calculus of Variations Final Examination Duration : 3h ; all kind of paper documents (notes, books...) are authorized. The total score of

More information

THE WAVE EQUATION. F = T (x, t) j + T (x + x, t) j = T (sin(θ(x, t)) + sin(θ(x + x, t)))

THE WAVE EQUATION. F = T (x, t) j + T (x + x, t) j = T (sin(θ(x, t)) + sin(θ(x + x, t))) THE WAVE EQUATION The aim is to derive a mathematical model that describes small vibrations of a tightly stretched flexible string for the one-dimensional case, or of a tightly stretched membrane for the

More information

Measure and Integration: Solutions of CW2

Measure and Integration: Solutions of CW2 Measure and Integration: s of CW2 Fall 206 [G. Holzegel] December 9, 206 Problem of Sheet 5 a) Left (f n ) and (g n ) be sequences of integrable functions with f n (x) f (x) and g n (x) g (x) for almost

More information

Summer 2017 MATH Solution to Exercise 5

Summer 2017 MATH Solution to Exercise 5 Summer 07 MATH00 Solution to Exercise 5. Find the partial derivatives of the following functions: (a (xy 5z/( + x, (b x/ x + y, (c arctan y/x, (d log((t + 3 + ts, (e sin(xy z 3, (f x α, x = (x,, x n. (a

More information

Exercises from other sources REAL NUMBERS 2,...,

Exercises from other sources REAL NUMBERS 2,..., Exercises from other sources REAL NUMBERS 1. Find the supremum and infimum of the following sets: a) {1, b) c) 12, 13, 14, }, { 1 3, 4 9, 13 27, 40 } 81,, { 2, 2 + 2, 2 + 2 + } 2,..., d) {n N : n 2 < 10},

More information

12.7 Heat Equation: Modeling Very Long Bars.

12.7 Heat Equation: Modeling Very Long Bars. 568 CHAP. Partial Differential Equations (PDEs).7 Heat Equation: Modeling Very Long Bars. Solution by Fourier Integrals and Transforms Our discussion of the heat equation () u t c u x in the last section

More information

Weak Convergence of Numerical Methods for Dynamical Systems and Optimal Control, and a relation with Large Deviations for Stochastic Equations

Weak Convergence of Numerical Methods for Dynamical Systems and Optimal Control, and a relation with Large Deviations for Stochastic Equations Weak Convergence of Numerical Methods for Dynamical Systems and, and a relation with Large Deviations for Stochastic Equations Mattias Sandberg KTH CSC 2010-10-21 Outline The error representation for weak

More information

Continuous dependence estimates for the ergodic problem with an application to homogenization

Continuous dependence estimates for the ergodic problem with an application to homogenization Continuous dependence estimates for the ergodic problem with an application to homogenization Claudio Marchi Bayreuth, September 12 th, 2013 C. Marchi (Università di Padova) Continuous dependence Bayreuth,

More information

Variational approach to mean field games with density constraints

Variational approach to mean field games with density constraints 1 / 18 Variational approach to mean field games with density constraints Alpár Richárd Mészáros LMO, Université Paris-Sud (based on ongoing joint works with F. Santambrogio, P. Cardaliaguet and F. J. Silva)

More information

Math 5588 Final Exam Solutions

Math 5588 Final Exam Solutions Math 5588 Final Exam Solutions Prof. Jeff Calder May 9, 2017 1. Find the function u : [0, 1] R that minimizes I(u) = subject to u(0) = 0 and u(1) = 1. 1 0 e u(x) u (x) + u (x) 2 dx, Solution. Since the

More information

A MULTI-DIMENSIONAL OPTIMAL HARVESTING PROBLEM WITH MEASURE VALUED SOLUTIONS

A MULTI-DIMENSIONAL OPTIMAL HARVESTING PROBLEM WITH MEASURE VALUED SOLUTIONS A MULTI-DIMENSIONAL OPTIMAL HARVESTING PROBLEM WITH MEASURE VALUED SOLUTIONS A BRESSAN, G M COCLITE, AND W SHEN Abstract The paper is concerned with the optimal harvesting of a marine resource, described

More information

An idea how to solve some of the problems. diverges the same must hold for the original series. T 1 p T 1 p + 1 p 1 = 1. dt = lim

An idea how to solve some of the problems. diverges the same must hold for the original series. T 1 p T 1 p + 1 p 1 = 1. dt = lim An idea how to solve some of the problems 5.2-2. (a) Does not converge: By multiplying across we get Hence 2k 2k 2 /2 k 2k2 k 2 /2 k 2 /2 2k 2k 2 /2 k. As the series diverges the same must hold for the

More information

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

Strauss PDEs 2e: Section Exercise 4 Page 1 of 6 Strauss PDEs 2e: Section 5.3 - Exercise 4 Page of 6 Exercise 4 Consider the problem u t = ku xx for < x < l, with the boundary conditions u(, t) = U, u x (l, t) =, and the initial condition u(x, ) =, where

More information

The first order quasi-linear PDEs

The first order quasi-linear PDEs Chapter 2 The first order quasi-linear PDEs The first order quasi-linear PDEs have the following general form: F (x, u, Du) = 0, (2.1) where x = (x 1, x 2,, x 3 ) R n, u = u(x), Du is the gradient of u.

More information

Observation problems related to string vibrations. Outline of Ph.D. Thesis

Observation problems related to string vibrations. Outline of Ph.D. Thesis Observation problems related to string vibrations Outline of Ph.D. Thesis András Lajos Szijártó Supervisor: Dr. Ferenc Móricz Emeritus Professor Advisor: Dr. Jenő Hegedűs Associate Professor Doctoral School

More information

Math 220A - Fall 2002 Homework 5 Solutions

Math 220A - Fall 2002 Homework 5 Solutions Math 0A - Fall 00 Homework 5 Solutions. Consider the initial-value problem for the hyperbolic equation u tt + u xt 0u xx 0 < x 0 u t (x, 0) ψ(x). Use energy methods to show that the domain of dependence

More information

7. Let X be a (general, abstract) metric space which is sequentially compact. Prove X must be complete.

7. Let X be a (general, abstract) metric space which is sequentially compact. Prove X must be complete. Math 411 problems The following are some practice problems for Math 411. Many are meant to challenge rather that be solved right away. Some could be discussed in class, and some are similar to hard exam

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

Math 234 Final Exam (with answers) Spring 2017

Math 234 Final Exam (with answers) Spring 2017 Math 234 Final Exam (with answers) pring 217 1. onsider the points A = (1, 2, 3), B = (1, 2, 2), and = (2, 1, 4). (a) [6 points] Find the area of the triangle formed by A, B, and. olution: One way to solve

More information

Math 220a - Fall 2002 Homework 6 Solutions

Math 220a - Fall 2002 Homework 6 Solutions Math a - Fall Homework 6 Solutions. Use the method of reflection to solve the initial-boundary value problem on the interval < x < l, u tt c u xx = < x < l u(x, = < x < l u t (x, = x < x < l u(, t = =

More information

Math 361: Homework 1 Solutions

Math 361: Homework 1 Solutions January 3, 4 Math 36: Homework Solutions. We say that two norms and on a vector space V are equivalent or comparable if the topology they define on V are the same, i.e., for any sequence of vectors {x

More information

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

Strauss PDEs 2e: Section Exercise 1 Page 1 of 6 Strauss PDEs 2e: Section 3 - Exercise Page of 6 Exercise Carefully derive the equation of a string in a medium in which the resistance is proportional to the velocity Solution There are two ways (among

More information

Applications of the Maximum Principle

Applications of the Maximum Principle Jim Lambers MAT 606 Spring Semester 2015-16 Lecture 26 Notes These notes correspond to Sections 7.4-7.6 in the text. Applications of the Maximum Principle The maximum principle for Laplace s equation is

More information

Some lecture notes for Math 6050E: PDEs, Fall 2016

Some lecture notes for Math 6050E: PDEs, Fall 2016 Some lecture notes for Math 65E: PDEs, Fall 216 Tianling Jin December 1, 216 1 Variational methods We discuss an example of the use of variational methods in obtaining existence of solutions. Theorem 1.1.

More information

Non-linear wave equations. Hans Ringström. Department of Mathematics, KTH, Stockholm, Sweden

Non-linear wave equations. Hans Ringström. Department of Mathematics, KTH, Stockholm, Sweden Non-linear wave equations Hans Ringström Department of Mathematics, KTH, 144 Stockholm, Sweden Contents Chapter 1. Introduction 5 Chapter 2. Local existence and uniqueness for ODE:s 9 1. Background material

More information

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012 MATH 3P: PRACTICE FINAL SOLUTIONS DECEMBER, This is a closed ook, closed notes, no calculators/computers exam. There are 6 prolems. Write your solutions to Prolems -3 in lue ook #, and your solutions to

More information