THE WAVE EQUATION. d = 1: D Alembert s formula We begin with the initial value problem in 1 space dimension { u = utt u xx = 0, in (0, ) R, (2)

Size: px
Start display at page:

Download "THE WAVE EQUATION. d = 1: D Alembert s formula We begin with the initial value problem in 1 space dimension { u = utt u xx = 0, in (0, ) R, (2)"

Transcription

1 THE WAVE EQUATION () The free wave equation takes the form u := ( t x )u = 0, u : R t R d x R In the literature, the operator := t x is called the D Alembertian on R +d. Later we shall also consider the inhomogeneous or forced equation u = f for some given function f (t, x). Since the equation is second order in t, an initial value problem involves initial conditions on both u and t u, and takes the form { ( t x )u = f in (0, ) t R d x u = g, t u = h on {t = 0} R d, x. where g, h : R d R and f : [0, ) R d R are prescribed functions. In contrast with the heat equation, the free wave equation is reversible in time: if u(t, x) is a solution, then so is ũ(t, x) := u( t, x). d = : D Alembert s formula We begin with the initial value problem in space dimension { u = utt u xx = 0, in (0, ) R, () u(0, x) = g(x), t u(0, x) = h(x), Theorem 0. (D Alembert s formula). If u is a smooth solution to (), then u(t, x) = [g(x + t) + g(x t)] + d = 3: Spherical means x+t x t h(y) dy. In three space dimensions, the solution to the initial value problem { u = 0, in (0, ) R 3, (3) u(0, x) = g(x), t u(0, x) = h(x), is expressed in terms of averages of the initial data over spheres. If Σ R 3 is a surface, write u ds := u ds A(Σ) Σ Σ Theorem 0. (Kirchhoff s formula). If u is a smooth solution to (3), then u(t, x) = t h(y) ds y + g(y), y x ds y + g(y) ds y t = h(y) ds y + g(y), ˆn y ds y + g(y) ds 4πt 4πt 4πt y.

2 THE WAVE EQUATION Proof. Fix x R 3. For t, r > 0, introduce the spherical averages U(t, r; x) := u(t, y) ds y = u(t, y) ds 4πr y G(r; x) := g(y) ds y, H(r, x) := H(y) ds y. Lemma 0.3. U is smooth on [0, ) t [0, ) r and satisfy the Euler-Darboux-Poisson equation { Utt U rr r U r = 0 in (0, ) t (0, ) r, U(0, r) = G(r), U t (0, r) = H(r) Further, U can be extended as a smooth even function of r to R. Proof. We have U(t, r) = u(t, y) ds y = B (0) u(t, x + rω) ds ω. The second expression is well-defined and smooth for all r R. Thus if we use it to define U for r 0, then U is smooth for all (t, r) (0, ) t R r, and satisfies U(t, r) = U(t, r), U(t, 0) = lim U(t, r) = u(t, x). r 0 + Differentiating and using the divergence theorem and polar coordinates, we have U r = ω, ( u)(t, x + rω) ds ω = u(t, y), ˆn 4π B (0) 4πr y ds y = u(t, y) dy = r [ ] u(t, y) ds 4πr 4πr y ρ dρ, Bρ(x) and so B r (x) r (r U r ) r = u(t, y) dy = ( t u)(t, y) ds y = U tt. This is the Euler-Darboux-Poisson equation. The initial conditions U(0, r) = G(r), U t (0, r) = H(r) are immediate. Now set Ũ(t, r) := ru(t, r), and similarly G := rg, H := rh. Recalling that U(t, ), G, H can be extended as smooth even functions on R, we see that Ũ(t, ), G, and H are odd in r. For t, r > 0, the Euler-Darboux-Poisson equation implies that Ũ tt Ũ rr = ru tt ru rr U r = 0. In view of the identity Ũ(t, r) = Ũ(t, r), this equation holds for r 0 as well (at r = 0, we have Ũ tt = 0 U tt = 0). By the D Alembert formula, when 0 r t so Ũ(t, r) = [ G(r + t) + G(r t)] + = [ G(t + r) G(t r)] + U(t, r) = r [ G(t + r) G(t r)] + r 0 r+t r t t+r t r t+r t r H(y) dy H(y) dy, H(y) dy,

3 THE WAVE EQUATION 3 Taking r 0, we conclude that u(t, x) = lim U(t, r; x) = G (t) + H(t) r 0 + = g(y) ds 4πt y + 4πt g(y), y x ds y + h(y) ds y. t 4πt d = by descending from d = 3 Now consider the equation in two space dimensions { u = ( t x )u = 0, in (0, ) R, (4) u(0, x) = g(x), t u(0, x) = h(x), x R Theorem 0.4 (Poisson s formula). Assume that u is a smooth solution. Then u(t, x) = h(y) π t y x dy + g(y), y x + g(y) πt t y x B t (x) Proof. We simply view u as a solution to the wave equation in R R 3 which does not depend on x 3, and apply Kirchoff s formula. B t (x) dy. ũ(t, x, x x, x 3 ) := u(t, x, x ), g(x, x, x 3 ) := g(x, x ), h(x, x, x 3 ) := h(x, x ). Writing x = (x, x, x 3 ), we then have { ( t x )u = 0, in (0, ) R 3, ũ(0, x) = g( x), t ũ(0, x) = h( x), x R 3. For (t, x) (0, ) R, we apply Kirchoff s formula at the point (t, x, 0) (0, ) R 3 to obtain u(t, x) = ũ(t, x, 0) = h(ỹ) ds ỹ + g(ỹ), ỹ x + g(ỹ) ds ỹ, 4πt ỹ x =t 4πt ỹ x =t = h(y) ds ỹ + g(y), y x) + g(y) ds 4πt ỹ x =t 4πt ỹ ỹ x =t = h(y) ds ỹ + g(y), y x) + g(y) ds ỹ, πt πt ỹ x =t, y 3 0 ỹ x =t, y 3 0 where ỹ := (y, y 3 ), x := (x, 0). For the last line we used symmetry to write the integral over the whole sphere ỹ x = t as twice the integral over the upper hemisphere. Parametrizing the upper hemisphere by y 3 = t y x, y x t, we have ds ỹ = + y 3 dy = u(t, x) = π y x t t t y x dy, and therefore h(y) t y x dy + πt y x t g(y), y x + g(y) t y x dy.

4 4 THE WAVE EQUATION Remark (Finite speed of propagation/huygen s principle). From the representation formulae, we see that the solution at a point (t, x) depends only on the values of the initial data in the ball {y : y x t}; moreover, in odd dimensions, only the values on the sphere {y : y x = t} matter. Here is a slightly different point of view. For each (t, x), consider the backwards light cone = {(s, y) : s t, y x = t s}. C (t,x) Then the value of u(t, x) at the tip (t, x) depends only on the values of u on the cone and in the interior region; it is not influenced by what happens in the exterior of the cone. In particular, if we know that the initial data is zero outside some ball x R, then the solution will be zero in the exterior region { x R + t}. The forced wave equation Using Duhamel s principle, we can solve { u = ( t x )u = f in (0, ) t R d x (5) u = 0, t u = 0 on {t = 0} R d x. For simplicity assume f is a smooth function. Theorem 0.5. For each s, let u( ; s) be the solution to { u(, s) = 0, in (s, ) R d x u(s, x; s) = 0, t u(s, x; s) = f (s, x). Then u(t, x) := is smooth on [0, ) R d, and satisfies (5). t 0 u(t, x; s) ds Proof. Straight computation using the Leibniz integral rule. For instance, in d = 3 we use Kirchhoff s formula to write u(t, x) = t 0 s)[ ] f (s, y) ds y ds. 4π(t y x =t s Remark. Finite speed of propagation for the free wave equation implies that the solution u(t, x) depends only on the values of the forcing term in the backward light cone {(s, y) : y x t s}. Energy methods One can in fact deduce many properties of the wave equation without appealing to the explicit representation formula above. The following technique, based on considering the energy of solutions, is very robust. Let Ω R d be an open bounded set with smooth boundary, and let Ω T = (0, T] Ω and Γ T = Ω T \ Ω T denote the usual cylinder and parabolic boundary, respectively. Proposition 0.6. Suppose u is a C (Ω T ) solution to { u = 0 in ΩT u = 0 on [0, T] Ω.

5 THE WAVE EQUATION 5 Define the energy where (6) E(t) := Ω t u(t, x) + x u(t, x) dx = e(u)(t, x) := tu(t, x) + xu(t, x) Ω e(u)(t, x) dx, is the energy density of u. Then E is independent of t; thus, the energy is conserved. Proof. Differentiate in t and apply the divergence theorem together with the zero boundary condition to obtain E (t) t u t u t u x u dx = 0. Ω Corollary 0.7 (Uniqueness of solutions). There is at most one solution u C (Ω T ) to the initial-boundary value problem u = f in Ω T u = g on Γ T t u = h on {t = 0} Ω. Proof. If u and u are two solutions, their difference u u solves the free wave equation with zero initial and boundary conditions. By energy conservation and the FTOC, u u is constant, and since u = u when t = 0, equality holds everywhere. Proposition 0.8. Let u be a smooth solution to u = 0 such that u(0, x) = 0 and t u(0, x) = 0 for x R. Then u(t, x) = 0 for {(t, x) : x R t, t 0}. Proof. For t < t, let Σ t,t denote the spacetime region Σ t,t = {(t, x) : x R t, t [t, t ]}. The boundary of this region (see Figure below) consists of the t time slice, the t time slice, and the lateral boundary, i.e. the portion of Σ t,t on the light cone: Σ t,t = {(t, x) : x R t } {(t, x) : x R t } {(t, x) : x = R t, t [t, t ]} = S t S t S cone. Now multiply the equation u = 0 by t u integrate over Σ t,t, using the identity t u u = ( t u u) t u, u, to see that 0 = t u t u t x u dxdt = Σ t,t Σ t,t t( t u) + t x u x ( t u u) dxdt = ( t, x ) (e(u), t u u ) dxdt, Σ t,t

6 6 THE WAVE EQUATION Figure. The boundary of the region Σ t,t. where e(u) is the energy density (6). Applying the divergence theorem to the last integral, we discover 0 = (e(u), t u u), (ˆn t, ˆn x ) ds Σ t,t = e(u)(t, x) dx e(u)(t, x) dx + ˆn t e(u) ˆn x, t u u ds, S t S t S cone where ˆn = (ˆn t, ˆn x ) is the outward unit normal to Σ t,t ; thus ˆn = (, 0) on S t, ˆn = (, 0) on S t, ˆn t > 0 and ˆn t = ˆn x on S cone. The last relations ˆn t > 0, ˆn t = ˆn x are key to obtaining a useful estimate, and follows from the fact that the light cone S cone is adapted to light rays that propagate at unit speed. Indeed, note now that by the Cauchy-Schwarz and arithmetic mean-geometric mean inequalities, t u + x u ˆn x, t u x u ˆn x t u x u ˆn t = ˆn t e(u). Therefore the integral ˆn t e(u) ˆn x, t u x u ds S cone is nonnegative, and we derive e(u)(t, x) dx = x R t (7) e(u)(t, x) dx + ˆn t e(u) ˆn x, t u x u ds x R t S cone e(u) dx. x R t The integral over the truncated light cone S cone can be interpreted as the energy flux through the light cone x = R t between times t and t ; this flux is nonnegative provided that ˆn t / ˆn x, i.e. energy can t propagate faster than speed.. Taking t = 0 in this inequality and recalling that e(u) is nonnegative, we have 0 e(u) dx 0 x R t for all 0 t R; therefore, e(u)(t, x) = 0 in the solid cone Σ 0,R := {(t, x) : x R t, t [0, R]}. As u(0, x) = 0 when x R, we integrate t u forward in time to conclude that u(t, x) = 0 in Σ 0,R as well.

7 THE WAVE EQUATION 7 Question. How would you modify this proof for the wave equation t u c x u = 0, where c > 0 is a constant?

where F denoting the force acting on V through V, ν is the unit outnormal on V. Newton s law says (assume the mass is 1) that

where F denoting the force acting on V through V, ν is the unit outnormal on V. Newton s law says (assume the mass is 1) that Chapter 5 The Wave Equation In this chapter we investigate the wave equation 5.) u tt u = and the nonhomogeneous wave equation 5.) u tt u = fx, t) subject to appropriate initial and boundary conditions.

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

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

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Spring 2018 Professor: Jared Speck

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Spring 2018 Professor: Jared Speck MATH 8.52 COURSE NOTES - CLASS MEETING # 6 8.52 Introduction to PDEs, Spring 208 Professor: Jared Speck Class Meeting # 6: Laplace s and Poisson s Equations We will now study the Laplace and Poisson equations

More information

Wave Equations Explicit Formulas In this lecture we derive the representation formulas for the wave equation in the whole space:

Wave Equations Explicit Formulas In this lecture we derive the representation formulas for the wave equation in the whole space: Nov. 07 Wave Equations Explicit Formulas In this lecture we derive the representation formulas for the wave equation in the whole space: u u t t u = 0, R n 0, ) ; u x, 0) = g x), u t x, 0) = h x). ) It

More information

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Fall 2011 Professor: Jared Speck

MATH COURSE NOTES - CLASS MEETING # Introduction to PDEs, Fall 2011 Professor: Jared Speck MATH 8.52 COURSE NOTES - CLASS MEETING # 6 8.52 Introduction to PDEs, Fall 20 Professor: Jared Speck Class Meeting # 6: Laplace s and Poisson s Equations We will now study the Laplace and Poisson equations

More information

Lecture No 1 Introduction to Diffusion equations The heat equat

Lecture No 1 Introduction to Diffusion equations The heat equat Lecture No 1 Introduction to Diffusion equations The heat equation Columbia University IAS summer program June, 2009 Outline of the lectures We will discuss some basic models of diffusion equations and

More information

Wave Equations: Explicit Formulas In this lecture we derive the representation formulas for the wave equation in the whole space:

Wave Equations: Explicit Formulas In this lecture we derive the representation formulas for the wave equation in the whole space: Math 57 Fall 009 Lecture 7 Sep. 8, 009) Wave Equations: Explicit Formulas In this lecture we derive the representation formulas for the wave equation in the whole space: u u t t u = 0, R n 0, ) ; u x,

More information

Lecture 7: The wave equation: higher dimensional case

Lecture 7: The wave equation: higher dimensional case Lecture 7: The wave equation: higher dimensional case Some auxiliary facts The co area formula. Let be a bounded domain and be a function of class. Denote by : the level set of. Let be any integrable function.

More information

Chapter 3 Second Order Linear Equations

Chapter 3 Second Order Linear Equations Partial Differential Equations (Math 3303) A Ë@ Õæ Aë áöß @. X. @ 2015-2014 ú GA JË@ É Ë@ Chapter 3 Second Order Linear Equations Second-order partial differential equations for an known function u(x,

More information

A review: The Laplacian and the d Alembertian. j=1

A review: The Laplacian and the d Alembertian. j=1 Chapter One A review: The Laplacian and the d Alembertian 1.1 THE LAPLACIAN One of the main goals of this course is to understand well the solution of wave equation both in Euclidean space and on manifolds

More information

PARTIAL DIFFERENTIAL EQUATIONS. Lecturer: D.M.A. Stuart MT 2007

PARTIAL DIFFERENTIAL EQUATIONS. Lecturer: D.M.A. Stuart MT 2007 PARTIAL DIFFERENTIAL EQUATIONS Lecturer: D.M.A. Stuart MT 2007 In addition to the sets of lecture notes written by previous lecturers ([1, 2]) the books [4, 7] are very good for the PDE topics in the course.

More information

Laplace s Equation. Chapter Mean Value Formulas

Laplace s Equation. Chapter Mean Value Formulas Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic

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

ẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D.

ẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D. 4 Periodic Solutions We have shown that in the case of an autonomous equation the periodic solutions correspond with closed orbits in phase-space. Autonomous two-dimensional systems with phase-space R

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

1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 =

1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 = Chapter 5 Sequences and series 5. Sequences Definition 5. (Sequence). A sequence is a function which is defined on the set N of natural numbers. Since such a function is uniquely determined by its values

More information

x + ye z2 + ze y2, y + xe z2 + ze x2, z and where T is the

x + ye z2 + ze y2, y + xe z2 + ze x2, z and where T is the 1.(8pts) Find F ds where F = x + ye z + ze y, y + xe z + ze x, z and where T is the T surface in the pictures. (The two pictures are two views of the same surface.) The boundary of T is the unit circle

More information

Final Exam. Monday March 19, 3:30-5:30pm MAT 21D, Temple, Winter 2018

Final Exam. Monday March 19, 3:30-5:30pm MAT 21D, Temple, Winter 2018 Name: Student ID#: Section: Final Exam Monday March 19, 3:30-5:30pm MAT 21D, Temple, Winter 2018 Show your work on every problem. orrect answers with no supporting work will not receive full credit. Be

More information

Sections minutes. 5 to 10 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed.

Sections minutes. 5 to 10 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed. MTH 34 Review for Exam 4 ections 16.1-16.8. 5 minutes. 5 to 1 problems, similar to homework problems. No calculators, no notes, no books, no phones. No green book needed. Review for Exam 4 (16.1) Line

More information

Class Meeting # 12: Kirchhoff s Formula and Minkowskian Geometry

Class Meeting # 12: Kirchhoff s Formula and Minkowskian Geometry MATH 8.52 COURSE NOTES - CLASS MEETING # 2 8.52 Introduction to PDEs, Spring 207 Professor: Jared Speck Class Meeting # 2: Kirchhoff s Formula and Minkowskian Geometry. Kirchhoff s Formula We are now ready

More information

SOLUTIONS TO THE FINAL EXAM. December 14, 2010, 9:00am-12:00 (3 hours)

SOLUTIONS TO THE FINAL EXAM. December 14, 2010, 9:00am-12:00 (3 hours) SOLUTIONS TO THE 18.02 FINAL EXAM BJORN POONEN December 14, 2010, 9:00am-12:00 (3 hours) 1) For each of (a)-(e) below: If the statement is true, write TRUE. If the statement is false, write FALSE. (Please

More information

Math The Laplacian. 1 Green s Identities, Fundamental Solution

Math The Laplacian. 1 Green s Identities, Fundamental Solution Math. 209 The Laplacian Green s Identities, Fundamental Solution Let be a bounded open set in R n, n 2, with smooth boundary. The fact that the boundary is smooth means that at each point x the external

More information

Practice Problems for Exam 3 (Solutions) 1. Let F(x, y) = xyi+(y 3x)j, and let C be the curve r(t) = ti+(3t t 2 )j for 0 t 2. Compute F dr.

Practice Problems for Exam 3 (Solutions) 1. Let F(x, y) = xyi+(y 3x)j, and let C be the curve r(t) = ti+(3t t 2 )j for 0 t 2. Compute F dr. 1. Let F(x, y) xyi+(y 3x)j, and let be the curve r(t) ti+(3t t 2 )j for t 2. ompute F dr. Solution. F dr b a 2 2 F(r(t)) r (t) dt t(3t t 2 ), 3t t 2 3t 1, 3 2t dt t 3 dt 1 2 4 t4 4. 2. Evaluate the line

More information

MATH 126 FINAL EXAM. Name:

MATH 126 FINAL EXAM. Name: MATH 126 FINAL EXAM Name: Exam policies: Closed book, closed notes, no external resources, individual work. Please write your name on the exam and on each page you detach. Unless stated otherwise, you

More information

MTH 847: PDE I (Fall 2017) Exam 2,

MTH 847: PDE I (Fall 2017) Exam 2, MTH 847: PDE I (Fall 2017) Exam 2, 2017.12.8 Name: Standard exam rules apply: You are not allowed to give or receive help from other students. All electronic devices must be turned off for the duration

More information

f(p i )Area(T i ) F ( r(u, w) ) (r u r w ) da

f(p i )Area(T i ) F ( r(u, w) ) (r u r w ) da MAH 55 Flux integrals Fall 16 1. Review 1.1. Surface integrals. Let be a surface in R. Let f : R be a function defined on. efine f ds = f(p i Area( i lim mesh(p as a limit of Riemann sums over sampled-partitions.

More information

G G. G. x = u cos v, y = f(u), z = u sin v. H. x = u + v, y = v, z = u v. 1 + g 2 x + g 2 y du dv

G G. G. x = u cos v, y = f(u), z = u sin v. H. x = u + v, y = v, z = u v. 1 + g 2 x + g 2 y du dv 1. Matching. Fill in the appropriate letter. 1. ds for a surface z = g(x, y) A. r u r v du dv 2. ds for a surface r(u, v) B. r u r v du dv 3. ds for any surface C. G x G z, G y G z, 1 4. Unit normal N

More information

MAC2313 Final A. (5 pts) 1. How many of the following are necessarily true? i. The vector field F = 2x + 3y, 3x 5y is conservative.

MAC2313 Final A. (5 pts) 1. How many of the following are necessarily true? i. The vector field F = 2x + 3y, 3x 5y is conservative. MAC2313 Final A (5 pts) 1. How many of the following are necessarily true? i. The vector field F = 2x + 3y, 3x 5y is conservative. ii. The vector field F = 5(x 2 + y 2 ) 3/2 x, y is radial. iii. All 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

(a) The points (3, 1, 2) and ( 1, 3, 4) are the endpoints of a diameter of a sphere.

(a) The points (3, 1, 2) and ( 1, 3, 4) are the endpoints of a diameter of a sphere. MATH 4 FINAL EXAM REVIEW QUESTIONS Problem. a) The points,, ) and,, 4) are the endpoints of a diameter of a sphere. i) Determine the center and radius of the sphere. ii) Find an equation for the sphere.

More information

Partial Differential Equations for Engineering Math 312, Fall 2012

Partial Differential Equations for Engineering Math 312, Fall 2012 Partial Differential Equations for Engineering Math 312, Fall 2012 Jens Lorenz July 17, 2012 Contents Department of Mathematics and Statistics, UNM, Albuquerque, NM 87131 1 Second Order ODEs with Constant

More information

An introduction to Mathematical Theory of Control

An introduction to Mathematical Theory of Control An introduction to Mathematical Theory of Control Vasile Staicu University of Aveiro UNICA, May 2018 Vasile Staicu (University of Aveiro) An introduction to Mathematical Theory of Control UNICA, May 2018

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

PARTIAL DIFFERENTIAL EQUATIONS MIDTERM

PARTIAL DIFFERENTIAL EQUATIONS MIDTERM PARTIAL DIFFERENTIAL EQUATIONS MIDTERM ERIN PEARSE. For b =,,..., ), find the explicit fundamental solution to the heat equation u + b u u t = 0 in R n 0, ). ) Letting G be what you find, show u 0 x) =

More information

Mathematics of Physics and Engineering II: Homework problems

Mathematics of Physics and Engineering II: Homework problems Mathematics of Physics and Engineering II: Homework problems Homework. Problem. Consider four points in R 3 : P (,, ), Q(,, 2), R(,, ), S( + a,, 2a), where a is a real number. () Compute the coordinates

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial ifferential Equations «Viktor Grigoryan 3 Green s first identity Having studied Laplace s equation in regions with simple geometry, we now start developing some tools, which will lead

More information

CONVERGENCE OF EXTERIOR SOLUTIONS TO RADIAL CAUCHY SOLUTIONS FOR 2 t U c 2 U = 0

CONVERGENCE OF EXTERIOR SOLUTIONS TO RADIAL CAUCHY SOLUTIONS FOR 2 t U c 2 U = 0 Electronic Journal of Differential Equations, Vol. 206 (206), No. 266, pp. 6. ISSN: 072-669. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu CONVERGENCE OF EXTERIOR SOLUTIONS TO RADIAL CAUCHY

More information

Preliminary Exam 2018 Solutions to Morning Exam

Preliminary Exam 2018 Solutions to Morning Exam Preliminary Exam 28 Solutions to Morning Exam Part I. Solve four of the following five problems. Problem. Consider the series n 2 (n log n) and n 2 (n(log n)2 ). Show that one converges and one diverges

More information

MATH H53 : Final exam

MATH H53 : Final exam MATH H53 : Final exam 11 May, 18 Name: You have 18 minutes to answer the questions. Use of calculators or any electronic items is not permitted. Answer the questions in the space provided. If you run out

More information

The wave equation. Intoduction to PDE. 1 The Wave Equation in one dimension. 2 u. v = f(ξ 1 ) + g(ξ 2 )

The wave equation. Intoduction to PDE. 1 The Wave Equation in one dimension. 2 u. v = f(ξ 1 ) + g(ξ 2 ) The wave equation Intoduction to PDE The Wave Equation in one dimension The equation is u t u c =. () x Setting ξ = x + ct, ξ = x ct and looking at the function v(ξ, ξ ) = u ( ξ +ξ, ξ ξ ) c, we see that

More information

Controllability of the linear 1D wave equation with inner moving for

Controllability of the linear 1D wave equation with inner moving for Controllability of the linear D wave equation with inner moving forces ARNAUD MÜNCH Université Blaise Pascal - Clermont-Ferrand - France Toulouse, May 7, 4 joint work with CARLOS CASTRO (Madrid) and NICOLAE

More information

Starting from Heat Equation

Starting from Heat Equation Department of Applied Mathematics National Chiao Tung University Hsin-Chu 30010, TAIWAN 20th August 2009 Analytical Theory of Heat The differential equations of the propagation of heat express the most

More information

MAC Calculus II Spring Homework #6 Some Solutions.

MAC Calculus II Spring Homework #6 Some Solutions. MAC 2312-15931-Calculus II Spring 23 Homework #6 Some Solutions. 1. Find the centroid of the region bounded by the curves y = 2x 2 and y = 1 2x 2. Solution. It is obvious, by inspection, that the centroid

More information

18 Green s function for the Poisson equation

18 Green s function for the Poisson equation 8 Green s function for the Poisson equation Now we have some experience working with Green s functions in dimension, therefore, we are ready to see how Green s functions can be obtained in dimensions 2

More information

MATH 332: Vector Analysis Summer 2005 Homework

MATH 332: Vector Analysis Summer 2005 Homework MATH 332, (Vector Analysis), Summer 2005: Homework 1 Instructor: Ivan Avramidi MATH 332: Vector Analysis Summer 2005 Homework Set 1. (Scalar Product, Equation of a Plane, Vector Product) Sections: 1.9,

More information

Introduction to Partial Differential Equations. Jason Murphy

Introduction to Partial Differential Equations. Jason Murphy Introduction to Partial Differential Equations Jason Murphy May 13, 2017 Contents 1 Introduction 4 1.1 Derivation of some common PDE................ 4 2 Review of Topology and Calculus 7 2.1 Properties

More information

Math 53 Spring 2018 Practice Midterm 2

Math 53 Spring 2018 Practice Midterm 2 Math 53 Spring 218 Practice Midterm 2 Nikhil Srivastava 8 minutes, closed book, closed notes 1. alculate 1 y 2 (x 2 + y 2 ) 218 dxdy Solution. Since the type 2 region D = { y 1, x 1 y 2 } is a quarter

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

9 More on the 1D Heat Equation

9 More on the 1D Heat Equation 9 More on the D Heat Equation 9. Heat equation on the line with sources: Duhamel s principle Theorem: Consider the Cauchy problem = D 2 u + F (x, t), on x t x 2 u(x, ) = f(x) for x < () where f

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

One side of each sheet is blank and may be used as scratch paper.

One side of each sheet is blank and may be used as scratch paper. Math 244 Spring 2017 (Practice) Final 5/11/2017 Time Limit: 2 hours Name: No calculators or notes are allowed. One side of each sheet is blank and may be used as scratch paper. heck your answers whenever

More information

MULTIVARIABLE CALCULUS

MULTIVARIABLE CALCULUS MULTIVARIABLE CALCULUS JOHN QUIGG Contents 13.1 Three-Dimensional Coordinate Systems 2 13.2 Vectors 3 13.3 The Dot Product 5 13.4 The Cross Product 6 13.5 Equations of Lines and Planes 7 13.6 Cylinders

More information

Lecture Notes Math 632, PDE Spring Semester Sigmund Selberg Visiting Assistant Professor Johns Hopkins University

Lecture Notes Math 632, PDE Spring Semester Sigmund Selberg Visiting Assistant Professor Johns Hopkins University Lecture Notes Math 63, PDE Spring Semester 1 Sigmund Selberg Visiting Assistant Professor Johns Hopkins University CHAPTER 1 The basics We consider the equation 1.1. The wave equation on R 1+n u =, where

More information

Class Meeting # 1: Introduction to PDEs

Class Meeting # 1: Introduction to PDEs MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Spring 2017 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u =

More information

Mathematical Tripos Part IA Lent Term Example Sheet 1. Calculate its tangent vector dr/du at each point and hence find its total length.

Mathematical Tripos Part IA Lent Term Example Sheet 1. Calculate its tangent vector dr/du at each point and hence find its total length. Mathematical Tripos Part IA Lent Term 205 ector Calculus Prof B C Allanach Example Sheet Sketch the curve in the plane given parametrically by r(u) = ( x(u), y(u) ) = ( a cos 3 u, a sin 3 u ) with 0 u

More information

e x3 dx dy. 0 y x 2, 0 x 1.

e x3 dx dy. 0 y x 2, 0 x 1. Problem 1. Evaluate by changing the order of integration y e x3 dx dy. Solution:We change the order of integration over the region y x 1. We find and x e x3 dy dx = y x, x 1. x e x3 dx = 1 x=1 3 ex3 x=

More information

Exercises for Multivariable Differential Calculus XM521

Exercises for Multivariable Differential Calculus XM521 This document lists all the exercises for XM521. The Type I (True/False) exercises will be given, and should be answered, online immediately following each lecture. The Type III exercises are to be done

More information

MATH 52 FINAL EXAM SOLUTIONS

MATH 52 FINAL EXAM SOLUTIONS MAH 5 FINAL EXAM OLUION. (a) ketch the region R of integration in the following double integral. x xe y5 dy dx R = {(x, y) x, x y }. (b) Express the region R as an x-simple region. R = {(x, y) y, x y }

More information

Nonlinear Wave Equations

Nonlinear Wave Equations Nonlinear Wave Equations Notes taken from lectures of Professor Monica Visan Yunfeng Zhang 04 Contents Fundamental Solutions Symmetries and Conservation Laws 7 3 The Energy-Flux Identity 9 4 Morawetz Identity

More information

Math 350 Solutions for Final Exam Page 1. Problem 1. (10 points) (a) Compute the line integral. F ds C. z dx + y dy + x dz C

Math 350 Solutions for Final Exam Page 1. Problem 1. (10 points) (a) Compute the line integral. F ds C. z dx + y dy + x dz C Math 35 Solutions for Final Exam Page Problem. ( points) (a) ompute the line integral F ds for the path c(t) = (t 2, t 3, t) with t and the vector field F (x, y, z) = xi + zj + xk. (b) ompute the line

More information

Introduction to Algebraic and Geometric Topology Week 14

Introduction to Algebraic and Geometric Topology Week 14 Introduction to Algebraic and Geometric Topology Week 14 Domingo Toledo University of Utah Fall 2016 Computations in coordinates I Recall smooth surface S = {f (x, y, z) =0} R 3, I rf 6= 0 on S, I Chart

More information

A connection between Lorentzian distance and mechanical least action

A connection between Lorentzian distance and mechanical least action A connection between Lorentzian distance and mechanical least action Ettore Minguzzi Università Degli Studi Di Firenze Non-commutative structures and non-relativistic (super)symmetries, LMPT Tours, June

More information

2tdt 1 y = t2 + C y = which implies C = 1 and the solution is y = 1

2tdt 1 y = t2 + C y = which implies C = 1 and the solution is y = 1 Lectures - Week 11 General First Order ODEs & Numerical Methods for IVPs In general, nonlinear problems are much more difficult to solve than linear ones. Unfortunately many phenomena exhibit nonlinear

More information

LEGENDRE POLYNOMIALS AND APPLICATIONS. We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.

LEGENDRE POLYNOMIALS AND APPLICATIONS. We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates. LEGENDRE POLYNOMIALS AND APPLICATIONS We construct Legendre polynomials and apply them to solve Dirichlet problems in spherical coordinates.. Legendre equation: series solutions The Legendre equation is

More information

u( x) = g( y) ds y ( 1 ) U solves u = 0 in U; u = 0 on U. ( 3)

u( x) = g( y) ds y ( 1 ) U solves u = 0 in U; u = 0 on U. ( 3) M ath 5 2 7 Fall 2 0 0 9 L ecture 4 ( S ep. 6, 2 0 0 9 ) Properties and Estimates of Laplace s and Poisson s Equations In our last lecture we derived the formulas for the solutions of Poisson s equation

More information

MATH 0350 PRACTICE FINAL FALL 2017 SAMUEL S. WATSON. a c. b c.

MATH 0350 PRACTICE FINAL FALL 2017 SAMUEL S. WATSON. a c. b c. MATH 35 PRACTICE FINAL FALL 17 SAMUEL S. WATSON Problem 1 Verify that if a and b are nonzero vectors, the vector c = a b + b a bisects the angle between a and b. The cosine of the angle between a and c

More information

Fundamental Solution

Fundamental Solution Fundamental Solution onsider the following generic equation: Lu(X) = f(x). (1) Here X = (r, t) is the space-time coordinate (if either space or time coordinate is absent, then X t, or X r, respectively);

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 )(y 0) {1}. Thus, the total count of points in (F 1 (y)) is equal to deg y0

1 )(y 0) {1}. Thus, the total count of points in (F 1 (y)) is equal to deg y0 1. Classification of 1-manifolds Theorem 1.1. Let M be a connected 1 manifold. Then M is diffeomorphic either to [0, 1], [0, 1), (0, 1), or S 1. We know that none of these four manifolds are not diffeomorphic

More information

Differential equations, comprehensive exam topics and sample questions

Differential equations, comprehensive exam topics and sample questions Differential equations, comprehensive exam topics and sample questions Topics covered ODE s: Chapters -5, 7, from Elementary Differential Equations by Edwards and Penney, 6th edition.. Exact solutions

More information

Vector Calculus handout

Vector Calculus handout Vector Calculus handout The Fundamental Theorem of Line Integrals Theorem 1 (The Fundamental Theorem of Line Integrals). Let C be a smooth curve given by a vector function r(t), where a t b, and let f

More information

Energy method for wave equations

Energy method for wave equations Energy method for wave equations Willie Wong Based on commit 5dfb7e5 of 2017-11-06 13:29 Abstract We give an elementary discussion of the energy method (and particularly the vector field method) in the

More information

Jim Lambers MAT 280 Summer Semester Practice Final Exam Solution. dy + xz dz = x(t)y(t) dt. t 3 (4t 3 ) + e t2 (2t) + t 7 (3t 2 ) dt

Jim Lambers MAT 280 Summer Semester Practice Final Exam Solution. dy + xz dz = x(t)y(t) dt. t 3 (4t 3 ) + e t2 (2t) + t 7 (3t 2 ) dt Jim Lambers MAT 28 ummer emester 212-1 Practice Final Exam olution 1. Evaluate the line integral xy dx + e y dy + xz dz, where is given by r(t) t 4, t 2, t, t 1. olution From r (t) 4t, 2t, t 2, we obtain

More information

FOURIER METHODS AND DISTRIBUTIONS: SOLUTIONS

FOURIER METHODS AND DISTRIBUTIONS: SOLUTIONS Centre for Mathematical Sciences Mathematics, Faculty of Science FOURIER METHODS AND DISTRIBUTIONS: SOLUTIONS. We make the Ansatz u(x, y) = ϕ(x)ψ(y) and look for a solution which satisfies the boundary

More information

1. Statement of the problem.

1. Statement of the problem. 218 Нелинейные граничные задачи 18, 218-229 (2008 c 2008. M. A. Borodin THE STEFAN PROBLEM The Stefan problem in its classical statement is a mathematical model of the process of propagation of heat in

More information

NONLOCAL DIFFUSION EQUATIONS

NONLOCAL DIFFUSION EQUATIONS NONLOCAL DIFFUSION EQUATIONS JULIO D. ROSSI (ALICANTE, SPAIN AND BUENOS AIRES, ARGENTINA) jrossi@dm.uba.ar http://mate.dm.uba.ar/ jrossi 2011 Non-local diffusion. The function J. Let J : R N R, nonnegative,

More information

SOME PROBLEMS YOU SHOULD BE ABLE TO DO

SOME PROBLEMS YOU SHOULD BE ABLE TO DO OME PROBLEM YOU HOULD BE ABLE TO DO I ve attempted to make a list of the main calculations you should be ready for on the exam, and included a handful of the more important formulas. There are no examples

More information

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 11/2/12

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 11/2/12 Line Integrals (4A Line Integral Path Independence Copyright (c 2012 Young W. Lim. Permission is granted to copy, distriute and/or modify this document under the terms of the GNU Free Documentation License,

More information

Lecture 13 - Wednesday April 29th

Lecture 13 - Wednesday April 29th Lecture 13 - Wednesday April 29th jacques@ucsdedu Key words: Systems of equations, Implicit differentiation Know how to do implicit differentiation, how to use implicit and inverse function theorems 131

More information

Salmon: Lectures on partial differential equations

Salmon: Lectures on partial differential equations 6. The wave equation Of the 3 basic equations derived in the previous section, we have already discussed the heat equation, (1) θ t = κθ xx + Q( x,t). In this section we discuss the wave equation, () θ

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

MATH 263 ASSIGNMENT 9 SOLUTIONS. F dv =

MATH 263 ASSIGNMENT 9 SOLUTIONS. F dv = MAH AIGNMEN 9 OLUION ) Let F = (x yz)î + (y + xz)ĵ + (z + xy)ˆk and let be the portion of the cylinder x + y = that lies inside the sphere x + y + z = 4 be the portion of the sphere x + y + z = 4 that

More information

Stability of an abstract wave equation with delay and a Kelvin Voigt damping

Stability of an abstract wave equation with delay and a Kelvin Voigt damping Stability of an abstract wave equation with delay and a Kelvin Voigt damping University of Monastir/UPSAY/LMV-UVSQ Joint work with Serge Nicaise and Cristina Pignotti Outline 1 Problem The idea Stability

More information

Course 212: Academic Year Section 1: Metric Spaces

Course 212: Academic Year Section 1: Metric Spaces Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........

More information

GREEN S IDENTITIES AND GREEN S FUNCTIONS

GREEN S IDENTITIES AND GREEN S FUNCTIONS GREEN S IENTITIES AN GREEN S FUNCTIONS Green s first identity First, recall the following theorem. Theorem: (ivergence Theorem) Let be a bounded solid region with a piecewise C 1 boundary surface. Let

More information

Print Your Name: Your Section:

Print Your Name: Your Section: Print Your Name: Your Section: Mathematics 1c. Practice Final Solutions This exam has ten questions. J. Marsden You may take four hours; there is no credit for overtime work No aids (including notes, books,

More information

CHAPTER 2: CONVEX SETS AND CONCAVE FUNCTIONS. W. Erwin Diewert January 31, 2008.

CHAPTER 2: CONVEX SETS AND CONCAVE FUNCTIONS. W. Erwin Diewert January 31, 2008. 1 ECONOMICS 594: LECTURE NOTES CHAPTER 2: CONVEX SETS AND CONCAVE FUNCTIONS W. Erwin Diewert January 31, 2008. 1. Introduction Many economic problems have the following structure: (i) a linear function

More information

Math Boot Camp: Integration

Math Boot Camp: Integration Math Boot Camp: Integration You can skip this boot camp if you can answer the following questions: What is the line integral of 1 r 2 r along a radial path starting from r = and ending at r = R? Prove

More information

Complex Analysis MATH 6300 Fall 2013 Homework 4

Complex Analysis MATH 6300 Fall 2013 Homework 4 Complex Analysis MATH 6300 Fall 2013 Homework 4 Due Wednesday, December 11 at 5 PM Note that to get full credit on any problem in this class, you must solve the problems in an efficient and elegant manner,

More information

Multiple Integrals and Vector Calculus (Oxford Physics) Synopsis and Problem Sets; Hilary 2015

Multiple Integrals and Vector Calculus (Oxford Physics) Synopsis and Problem Sets; Hilary 2015 Multiple Integrals and Vector Calculus (Oxford Physics) Ramin Golestanian Synopsis and Problem Sets; Hilary 215 The outline of the material, which will be covered in 14 lectures, is as follows: 1. Introduction

More information

4 Divergence theorem and its consequences

4 Divergence theorem and its consequences Tel Aviv University, 205/6 Analysis-IV 65 4 Divergence theorem and its consequences 4a Divergence and flux................. 65 4b Piecewise smooth case............... 67 4c Divergence of gradient: Laplacian........

More information

6.14 Review exercises for Chapter 6

6.14 Review exercises for Chapter 6 6.4 Review exercises for Chapter 6 699 6.4 Review exercises for Chapter 6 In Exercise 6., B is an n n matrix and ϕ and ψ are both - forms on R 3 ; v and w are vectors 6. Which of the following are numbers?

More information

ES.182A Topic 44 Notes Jeremy Orloff

ES.182A Topic 44 Notes Jeremy Orloff E.182A Topic 44 Notes Jeremy Orloff 44 urface integrals and flux Note: Much of these notes are taken directly from the upplementary Notes V8, V9 by Arthur Mattuck. urface integrals are another natural

More information

Class Meeting # 13: Geometric Energy Estimates

Class Meeting # 13: Geometric Energy Estimates MATH 18.15 COURSE NOTES - CLASS MEETING # 13 18.15 Introduction to PDEs, Fall 011 Professor: Jared Speck Class Meeting # 13: Geometric Energy Estimates 1. m, the energy-momentum tensor, and compatible

More information

MATH 6337: Homework 8 Solutions

MATH 6337: Homework 8 Solutions 6.1. MATH 6337: Homework 8 Solutions (a) Let be a measurable subset of 2 such that for almost every x, {y : (x, y) } has -measure zero. Show that has measure zero and that for almost every y, {x : (x,

More information

Gauss s Law & Potential

Gauss s Law & Potential Gauss s Law & Potential Lecture 7: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay Flux of an Electric Field : In this lecture we introduce Gauss s law which happens to

More information

1 The Derivative and Differrentiability

1 The Derivative and Differrentiability 1 The Derivative and Differrentiability 1.1 Derivatives and rate of change Exercise 1 Find the equation of the tangent line to f (x) = x 2 at the point (1, 1). Exercise 2 Suppose that a ball is dropped

More information

MATH 228: Calculus III (FALL 2016) Sample Problems for FINAL EXAM SOLUTIONS

MATH 228: Calculus III (FALL 2016) Sample Problems for FINAL EXAM SOLUTIONS MATH 228: Calculus III (FALL 216) Sample Problems for FINAL EXAM SOLUTIONS MATH 228 Page 2 Problem 1. (2pts) Evaluate the line integral C xy dx + (x + y) dy along the parabola y x2 from ( 1, 1) to (2,

More information