Suggested Solution to Assignment 7

Size: px
Start display at page:

Download "Suggested Solution to Assignment 7"

Transcription

1 MATH 422 (25-6) partial diferential equations Suggested Solution to Assignment 7 Exercise 7.. Suppose there exists one non-constant harmonic function u in, which attains its maximum M at x. Then by the mean value property, we have u(x ) uds, B(x, r) B(x,r) for all B(x, r). maximum. Thus u(x) M for all x B(x, r) since u is continuous and M is its Now since u is not a constant, there exists x such that u(x ) u(x ). Since is a region, we can find a continuous a curve γ(t) ( t ) such that γ() x and γ() x. Set E : { t u(γ(t)) M}, then E is closed since u and γ are both continuous. Let t E, then by the above result, u(x) M for all x B(γ(t ), r). So E is open. Hence, E [, since E and [, is connected. But this contradicts to u(x ) u(x ) and then we complete the proof. 2. Suppose u and u 2 are solutions of the problem. Then u u u 2 satisfies u in, on. Thus, by the Green s first identity for v u, we have u ds u 2 dx + Hence, Therefore, u and then u(x) is a constant.. u 2 dx. u udx. 3. Suppose u and u 2 are solutions of the problem. Then u u u 2 satisfies u in, + au on. Thus, by the Green s first identity for v u, we have u ds u 2 dx + u udx. Hence, u 2 dx au 2 ds. Since a(x) >, u and then u(x) is a constant C. So by the Robin boundary conditions, we have Ca(x). This shows that C and u.. 4. Suppose u and u 2 are solutions of the problem. Then u u u 2 satisfies u t k u in (, ), u on (, ), u(x, ) in. Thus, by the Green s first identity for v u, we have u ds u 2 dx + u udx.

2 MATH 422 (25-6) partial diferential equations Therefore, by the diffusion equation u 2 dx + uu t dx k u 2 dx + d u 2 dx. 2k dt efine E(t) : u2 dx, then the above equality implies d dte(t). Note that E() and E(t), we have E(t). So we obtain u and the uniqueness for the diffusion equation with irichlet boundary conditions is proved.. 5. Suppose u(x) minimizes the energy. Let v(x) be any function and ɛ be any constant, then E[u E[u + ɛv E[u + ɛ u vdx ɛ hvds + ɛ 2 v 2 dx. Hence, by calculus for any function v. By Green s first identity, u vdx + u vdx hvds v ds hvds. Noting v is an arbitrary function, let v vanish on firstly and then the above equality implies u in. So the above equality changes to v ds hvds. Since v is arbitrary, h on and then u(x) is a solution of the following Neumann problem u in, h on bdy. Note that the Neumann problem has a unique solution up to constant and the functional E[w does not change if a constatn is added to w, thus it is the only funtion that can minimize the energy up to a constant. Note that here we assume functions u, v and the domain are smooth enough, at least under which the Green s first identity can be hold. 6. (a) Suppose u and u 2 are solutions of the problem. Then u u u 2 tends to zero at infinity, and is constant on A and constant on B, and satisfies ds ds. A Suppose that u, then without loss of generality, we assume that there exists x such that u(x ) >. Since u tends to zero at infinity, so there exists R such that u(x) u(x ) 2 if x R. Then u is a harmonic function in B(, R) and u. Thus, the B max u u(x ) 2 u(x ) max B(,R) B(,R) maximum is attained on A or B by the Maximum Principle. WOLG, we assume that u attain its maximum on A and then by any point of A is a maximum point since u is constant on A. Hence, by the Hopf maximum principle, / > on A, but this contradicts to the condition Therefore, u and then the solution is unique. A 2 ds.

3 MATH 422 (25-6) partial diferential equations (b) If not, then u(x) have a negative minimum. As above, by the Minimum Principle, we get that u attains its minimum on A or B. WOLG, we assume that u attains its minimum on A, then < by the Hopf principle since u is not a constant. But this contradicts to A ds Q >. So u in, (c) Suppose that there exists x such that u(x ). Then by (b) and the Strong Minimum Principle, u is a constant in. But this contradicts to A ds Q >. So u > in. (Actually, we can prove that u > on A and B by the Hopf principle again as in (b)). 7. (Extra Problem ) Suppose u and u 2 are solutions of the problem. Then (u u 2 ) u 3 u 3 2 (u u 2 )(u 2 + u u 2 + u 2 2) in Thus, (u u 2 ) + a(x)(u u 2 ) on (u u 2 ) 2 (u 2 + u u 2 + u 2 2) (u u 2 ) (u u 2 ) (u u 2 ) (u u 2 ) u u 2 2 a(x)(u u 2 ) 2 u u 2 2 since a(x). (u u 2 ) 2 (u 2 + u u 2 + u 2 2 ) u u 2 in 8. (Extra Problem 2) (a) E[u : 2 ( u 2 + b(x)u 2 ) + f(x)u (b)if u is a solution, then v C 2(), v u + b(x)uv + f(x)v u v + b(x)uv + f(x)v w C 2 (), w h on, take v w u, E[w 2 v u 2 + v u + 2 b(x)v2 + 2 b(x)u2 + b(x)uv + f(x)v + f(x)u 2 v b(x)v2 + E[u since b(x). E[u Conversely, v C 2(), t R, w : u + tv C2, w u h on d dt E[u + tv t u v + b(x)uv + f(x)v v( u + b(x)u + f(x)), v C 2 () u + b(x)u + f(x) in 3

4 MATH 422 (25-6) partial diferential equations Exercise Let r x and ɛ : {x ɛ < r < R}, where R is large enough such that φ outside r < R/2. Using the Green s second identity, [ ɛ x φ(x)dx x φ φ ds x x R x ɛ ɛ [ x φ φ x [ ɛ φ + φ c 2 ds + x ɛ ds 4φ 4ɛ φ, where φ denotes the average value of φ on the sphere {r ɛ}, and φ this sphere. Since φ is continuous and φ is bounded, Hence, 4φ 4ɛ φ B(x,R) φ() x <R [ x φ φ 4φ() as ɛ. x φ(x)dx 4. x ds denotes the average value of φ on 3. Choosing B(x, R) in the representation formula () and using the divergence theorem, [ u(x ) u(x) ( x x ) + x x ds 4 x x R 4R 2 4R 2 [ R 2 u(x) + ds R 4 x x R x x R uds + 4R uds. x x <R 4. (Extra Problem) φ(x) Cc 2 (R 2 ), we need to show that φ() log x φ(x) dx R 2 2 udx proof: Let r x and ε : x : ε < r < R, where R is large enough such that φ if r R/2. Using the Green s identity, log x φ(x)dx [log x φ ε ε φ log x ds [log x φ x ε φ log x ds [log ε φ φ ε ds x ε 2 φ 2ε log ε φ 4

5 MATH 422 (25-6) partial diferential equations where φ, bounded, Exercise 7.3 φ φ denote the average value of φ, φ on the sphere x ε. Since φ is continuous and 2 φ φ 2ε log ε 2φ(), as ε. Suppose G and G 2 both are the Green s functions for the operator and the domain at the point x d. By (i) and (iii), we obtain that G (x) + 4 x x and G 2(x) + both are harmonic 4 x x functions in. Thus, by (ii) and the uniqueness theorem of harmonic function, we have G (x) + that is, the Green s function is unique. 3. In the textbook, 4 x x G 2(x) + 4 x x, A ɛ x a ɛ where u(x) G(x, a) and v(x) G(x, b). Note that (u v v )ds, u(x) G(x, a) + H(x, a) 4 x a, where H(x, a) is a harmonic function throughout the domain. What s more, v(x) G(x, b) is a harmonic function in { x a < ɛ}, then we have [ v A ɛ ( + H(x, a)) x a ɛ 4 x a v ( + H(x, a)) ds 4 x a [ v x a ɛ 4 x a + v ( 4 x a ) ds [ + H(x, a) v x a ɛ v H(x, a) ds v(a) [H(x, a) v v H(x, a) dx v(a). x a <ɛ is Here we use the representation formula (7.2.) and. So lim A ɛ v(a) G(a, b). ɛ Exercise 7.4. By (i), we know that G(x) is a linear function in [, x and [x, l. Since (ii) and G(x) is continuous at x, we have { kx, < x x ; G(x) kx x l (x l), x < x < l. Hence, G(x) + 2 x x is harmonic at x if and only if if and only if (G(x) + 2 x x ) x (G(x) + 2 x x ) x, + k l x. l 5

6 MATH 422 (25-6) partial diferential equations So the one-dimensional Green s function for the interval (, l) at the point x (, l) is G(x) { l x l x, < x x ; x l (x l), x < x < l. 2. Assume that h(x, y) is a continuous function that vanished outside {(x, y) x 2 +y 2 R 2 } and h(x, y) M. Then by the formula (3), we have u(x, y, z ) M [(x x ) 2 + (y y ) 2 + z dxdy {(x,y) x 2 +y 2 R 2 } MR 2 2( x 2 + y2 +, when z2 R)3 x 2 + y2 + z2 > R. Therefore, u satisfies the condition at infinity: u(x), as x. 3. From (3), we have u(x, y, z ) z 2 z 2 [(x x ) 2 + (y y ) 2 + z h(x, y)dxdy [x 2 + y 2 + z h(x + x, y + y )dxdy. Now we change variables such that x z s cos θ, y z s sin θ. Then Since u(x, y, z ) z (z 2 s 2 + z 2 ) 3 2 h(z s cos θ + x, z s sin θ + y )z 2 s dsdθ s(s 2 + ) 3 2 h(z s cos θ + x, z s sin θ + y ) dsdθ. s(s 2 + ) 3 2 ds (s 2 + ) 3 2, lim u(x, y, z ) h(x, y ), z if the limit can be taken in the integration, for example, when h(x, y) is bounded. 5. Here is one of suggested explains. Since the half-plane {y > } is not bounded, this only means that the solution is not unique under the (uncompleted) boundary condition or it is not a well-posed problem. But generally it will be a well-posed problem if we add another boundary condition, such as u(x), as x. 6. (a) Using the method of reflection, as in the dimension three, we have where x (x, y), x (x, y ), x (x, y ). G(x, x ) 2 log x x 2 log x x, 6

7 MATH 422 (25-6) partial diferential equations (b) Since G y y + y 2[(x x ) 2 + (y + y ) 2 y y 2[(x x ) 2 + (y y ) 2 y [(x x ) 2 + y 2 on y, the solution is given by u(x, y ) y h(x) (x x ) 2 + y 2 dx. (c) By (b), we have u(x, y ) y h(x) (x x ) 2 + y 2 dx x 2 dx (a) If u(x, y) f( x ), then y (b) So f has to satisfy the following OE where a, b are contants. (c) Using the polar coordinate, u x y f ( x y ), u y x y 2 f ( x y ). u xx + u yy y 2 f ( x y ) + x2 y 4 f ( x y ) + 2x y 3 f ( x y ). f(t) ( + t 2 )f (t) + 2tf (t). t a ds + b a arctan t + b, + s2 x x + y y y f ( x y )x r x y 2 f ( x y )y r. v(r, θ) cθ + d, where c, d are constants. So in the (x, y)-coordinate, we have v(x, y) c arctan y x + d. (d) By (a), So u(x, y) f( x y ) a arctan x y + b. h(x) lim y u(x, y) 2 a + b, x > ; b, x ; a + b, x <. 2 (e) By (d), we see that h(x) is not continuous unless u is a constant. This agrees with the condition that h(x) is continuous in Exercise 6. 7

8 MATH 422 (25-6) partial diferential equations 9. Here the methof of reflection is used. Let x (x, y, z ) such that ax + by + cz >, then its reflection point x (x, y, z ) about the hyperplane {ax + by + cz } satisfies x 2a x a 2 + b 2 + c 2 (ax + by + cz ), y 2b y a 2 + b 2 + c 2 (ax + by + cz ), z 2c z a 2 + b 2 + c 2 (ax + by + cz ). So the Green s function for the tilted half-space {(x, y, z) : ax + by + cz > } is given by G(x, x ) 4 x x + 4 x x.. In case x, the formula for the Green s function is G(x, ) 4 x + 4a, since 4 x + 4a C2 and is harmonic in B a (), except at the point x ; [ 4 x + 4a x a ; and [ 4 x + 4a + 4 x is harmonic at. 3. Let x, then we have G(x, x ) 4 x x + 4 r x/a ax /r is the Green s function at x for the whole ball, where a is the radius and r x. Let x (x, y, z ), then G(x, x ) 4 x x + 4 r x/a ax /r is the Green s function at x for the whole ball. Note that G(x, x ) G(x, x ) on and G(x, x ) is a harmonic function on. Hence, G(x, x ) G(x, x ) is the Green s function for by the uniqueness of the Green s function. 5. (a) If v(x, y) is harmonic and u(x, y) v(x 2 y 2, 2xy), then Thus u x 2xv x + 2yv y, u y 2yv x + 2xv y. u xx + u yy 2v x + 4x 2 v xx + 4xyv xy + 4xyv yx + 4y 2 v yy 2v x + 4y 2 v xx 4xyv xy 4xyv yx + 4x 2 v yy 4(x 2 + y 2 )(v xx + v yy ). (b) Using the polar coordinates, the transformation si (r cos θ, r sin θ) (r 2 cos 2θ, r 2 sin 2θ). Therefore, it maps the first quadrant onto the half-plane {y > }. Note that the transformation is one-one which also maps the x-positive-axis to x-positive-axis and y-positive-axis to x-negative-axis. 8

9 MATH 422 (25-6) partial diferential equations 7. (a) Here the method of reflection is used and you can also use the result of Exercise 55 to find the Green s function for the quadrant Q. Let x (x, y ) Q, x y ( x, y ), x x (x, y ) and x ( x, y ). Then it is easy to verify that G(x, x ) 2 log x x 2 log x xy 2 log x xx + 2 log x x is the Green s function at x for the quadrant Q. (b) (Extra Problem 3) By formula () in Section 7.3 in the textbook, u(x ) u(x) G(x, x ) ds bdy x G G x,y> x x ( x x 2 x x ) 2 G G x>,y y y ( x x 2 x x ) 2 g(y)( x x 2 x x )dy + y 2 h(x)( x x 2 x x )dx 2 9. Consider the four-dimensional laplacian u u xx + u yy + u zz + u ww. Show that its fundamental solution is r 2, where r 2 x 2 + y 2 + z 2 + w 2. proof: irect computation according to its definition. 2. Using the conclusion in 7 and 2, we have the singular part of the Green function is 8ω 4 x x 2, where ω 4 is the volume of S 3, x (x, y, z, w) and x (x, y, z, w ). So the Green function is 8ω 4 x x 2 + 8ω 4 x x 2, where x (x, y, z, w ). 2. By the formula (2)(3) in Section7.3, we get u(x ) bdy (u N N) bdy N since N on the boundary. Thus we proved the following theorem: If N(x, x ) is the Neumann function, then the solution of the Neumann problem is given by the formula u(x ) 22. (Extra Problem 4)By the formula (4) in Section7.4, u(x ) z 2 z bdy N x 2 +y 2 + x x 3 ds. If the bounded condition is dropped, then we have v u + az where a is arbitrary real number is also a solution. 9

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 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

MATH 124B Solution Key HW 05

MATH 124B Solution Key HW 05 7.1 GREEN S FIRST IENTITY MATH 14B Solution Key HW 05 7.1 GREEN S FIRST IENTITY 1. erive the 3-dimensional maximum principle from the mean value property. SOLUTION. We aim to prove that if u is harmonic

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

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

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

Multivariable Calculus

Multivariable Calculus 2 Multivariable Calculus 2.1 Limits and Continuity Problem 2.1.1 (Fa94) Let the function f : R n R n satisfy the following two conditions: (i) f (K ) is compact whenever K is a compact subset of R n. (ii)

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

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

Final Exam May 4, 2016

Final Exam May 4, 2016 1 Math 425 / AMCS 525 Dr. DeTurck Final Exam May 4, 2016 You may use your book and notes on this exam. Show your work in the exam book. Work only the problems that correspond to the section that you prepared.

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

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

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

MATH 124B Solution Key HW 03

MATH 124B Solution Key HW 03 6.1 LAPLACE S EQUATION MATH 124B Solution Key HW 03 6.1 LAPLACE S EQUATION 4. Solve u x x + u y y + u zz = 0 in the spherical shell 0 < a < r < b with the boundary conditions u = A on r = a and u = B on

More information

[2] (a) Develop and describe the piecewise linear Galerkin finite element approximation of,

[2] (a) Develop and describe the piecewise linear Galerkin finite element approximation of, 269 C, Vese Practice problems [1] Write the differential equation u + u = f(x, y), (x, y) Ω u = 1 (x, y) Ω 1 n + u = x (x, y) Ω 2, Ω = {(x, y) x 2 + y 2 < 1}, Ω 1 = {(x, y) x 2 + y 2 = 1, x 0}, Ω 2 = {(x,

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

Contents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Multiple Integrals 3. 2 Vector Fields 9

Contents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Multiple Integrals 3. 2 Vector Fields 9 MATH 32B-2 (8W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables Contents Multiple Integrals 3 2 Vector Fields 9 3 Line and Surface Integrals 5 4 The Classical Integral Theorems 9 MATH 32B-2 (8W)

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

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

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: Problem Set 4 Math 201B, Winter 2007

Solutions: Problem Set 4 Math 201B, Winter 2007 Solutions: Problem Set 4 Math 2B, Winter 27 Problem. (a Define f : by { x /2 if < x

More information

M545 Homework 8. Mark Blumstein. December 9, [f (x)] 2 dx = 1. Find such a function if you can. If it cannot be found, explain why not.

M545 Homework 8. Mark Blumstein. December 9, [f (x)] 2 dx = 1. Find such a function if you can. If it cannot be found, explain why not. M545 Homework 8 Mark Blumstein ecember 9, 5..) Let fx) be a function such that f) f3), 3 [fx)] dx, and 3 [f x)] dx. Find such a function if you can. If it cannot be found, explain why not. Proof. We will

More information

Math 127C, Spring 2006 Final Exam Solutions. x 2 ), g(y 1, y 2 ) = ( y 1 y 2, y1 2 + y2) 2. (g f) (0) = g (f(0))f (0).

Math 127C, Spring 2006 Final Exam Solutions. x 2 ), g(y 1, y 2 ) = ( y 1 y 2, y1 2 + y2) 2. (g f) (0) = g (f(0))f (0). Math 27C, Spring 26 Final Exam Solutions. Define f : R 2 R 2 and g : R 2 R 2 by f(x, x 2 (sin x 2 x, e x x 2, g(y, y 2 ( y y 2, y 2 + y2 2. Use the chain rule to compute the matrix of (g f (,. By the chain

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

Mathematical Methods - Lecture 9

Mathematical Methods - Lecture 9 Mathematical Methods - Lecture 9 Yuliya Tarabalka Inria Sophia-Antipolis Méditerranée, Titane team, http://www-sop.inria.fr/members/yuliya.tarabalka/ Tel.: +33 (0)4 92 38 77 09 email: yuliya.tarabalka@inria.fr

More information

INTRODUCTION TO PDEs

INTRODUCTION TO PDEs INTRODUCTION TO PDEs In this course we are interested in the numerical approximation of PDEs using finite difference methods (FDM). We will use some simple prototype boundary value problems (BVP) and initial

More information

Math 185 Homework Exercises II

Math 185 Homework Exercises II Math 185 Homework Exercises II Instructor: Andrés E. Caicedo Due: July 10, 2002 1. Verify that if f H(Ω) C 2 (Ω) is never zero, then ln f is harmonic in Ω. 2. Let f = u+iv H(Ω) C 2 (Ω). Let p 2 be an integer.

More information

Leplace s Equations. Analyzing the Analyticity of Analytic Analysis DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING. Engineering Math 16.

Leplace s Equations. Analyzing the Analyticity of Analytic Analysis DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING. Engineering Math 16. Leplace s Analyzing the Analyticity of Analytic Analysis Engineering Math 16.364 1 The Laplace equations are built on the Cauchy- Riemann equations. They are used in many branches of physics such as heat

More information

Leplace s Equations. Analyzing the Analyticity of Analytic Analysis DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING. Engineering Math EECE

Leplace s Equations. Analyzing the Analyticity of Analytic Analysis DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING. Engineering Math EECE Leplace s Analyzing the Analyticity of Analytic Analysis Engineering Math EECE 3640 1 The Laplace equations are built on the Cauchy- Riemann equations. They are used in many branches of physics such as

More information

Aero III/IV Conformal Mapping

Aero III/IV Conformal Mapping Aero III/IV Conformal Mapping View complex function as a mapping Unlike a real function, a complex function w = f(z) cannot be represented by a curve. Instead it is useful to view it as a mapping. Write

More information

CALCULUS JIA-MING (FRANK) LIOU

CALCULUS JIA-MING (FRANK) LIOU CALCULUS JIA-MING (FRANK) LIOU Abstract. Contents. Power Series.. Polynomials and Formal Power Series.2. Radius of Convergence 2.3. Derivative and Antiderivative of Power Series 4.4. Power Series Expansion

More information

ALGEBRAIC GEOMETRY HOMEWORK 3

ALGEBRAIC GEOMETRY HOMEWORK 3 ALGEBRAIC GEOMETRY HOMEWORK 3 (1) Consider the curve Y 2 = X 2 (X + 1). (a) Sketch the curve. (b) Determine the singular point P on C. (c) For all lines through P, determine the intersection multiplicity

More information

Partial Differential Equations

Partial Differential Equations M3M3 Partial Differential Equations Solutions to problem sheet 3/4 1* (i) Show that the second order linear differential operators L and M, defined in some domain Ω R n, and given by Mφ = Lφ = j=1 j=1

More information

TEST CODE: MIII (Objective type) 2010 SYLLABUS

TEST CODE: MIII (Objective type) 2010 SYLLABUS TEST CODE: MIII (Objective type) 200 SYLLABUS Algebra Permutations and combinations. Binomial theorem. Theory of equations. Inequalities. Complex numbers and De Moivre s theorem. Elementary set theory.

More information

AP Calculus Testbank (Chapter 9) (Mr. Surowski)

AP Calculus Testbank (Chapter 9) (Mr. Surowski) AP Calculus Testbank (Chapter 9) (Mr. Surowski) Part I. Multiple-Choice Questions n 1 1. The series will converge, provided that n 1+p + n + 1 (A) p > 1 (B) p > 2 (C) p >.5 (D) p 0 2. The series

More information

In this chapter we study elliptical PDEs. That is, PDEs of the form. 2 u = lots,

In this chapter we study elliptical PDEs. That is, PDEs of the form. 2 u = lots, Chapter 8 Elliptic PDEs In this chapter we study elliptical PDEs. That is, PDEs of the form 2 u = lots, where lots means lower-order terms (u x, u y,..., u, f). Here are some ways to think about the physical

More information

Series Solution of Linear Ordinary Differential Equations

Series Solution of Linear Ordinary Differential Equations Series Solution of Linear Ordinary Differential Equations Department of Mathematics IIT Guwahati Aim: To study methods for determining series expansions for solutions to linear ODE with variable coefficients.

More information

Math 201 Solutions to Assignment 1. 2ydy = x 2 dx. y = C 1 3 x3

Math 201 Solutions to Assignment 1. 2ydy = x 2 dx. y = C 1 3 x3 Math 201 Solutions to Assignment 1 1. Solve the initial value problem: x 2 dx + 2y = 0, y(0) = 2. x 2 dx + 2y = 0, y(0) = 2 2y = x 2 dx y 2 = 1 3 x3 + C y = C 1 3 x3 Notice that y is not defined for some

More information

UNIVERSITY OF HOUSTON HIGH SCHOOL MATHEMATICS CONTEST Spring 2018 Calculus Test

UNIVERSITY OF HOUSTON HIGH SCHOOL MATHEMATICS CONTEST Spring 2018 Calculus Test UNIVERSITY OF HOUSTON HIGH SCHOOL MATHEMATICS CONTEST Spring 2018 Calculus Test NAME: SCHOOL: 1. Let f be some function for which you know only that if 0 < x < 1, then f(x) 5 < 0.1. Which of the following

More information

Complex Variables. Chapter 2. Analytic Functions Section Harmonic Functions Proofs of Theorems. March 19, 2017

Complex Variables. Chapter 2. Analytic Functions Section Harmonic Functions Proofs of Theorems. March 19, 2017 Complex Variables Chapter 2. Analytic Functions Section 2.26. Harmonic Functions Proofs of Theorems March 19, 2017 () Complex Variables March 19, 2017 1 / 5 Table of contents 1 Theorem 2.26.1. 2 Theorem

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

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

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

More information

MATH20411 PDEs and Vector Calculus B

MATH20411 PDEs and Vector Calculus B MATH2411 PDEs and Vector Calculus B Dr Stefan Güttel Acknowledgement The lecture notes and other course materials are based on notes provided by Dr Catherine Powell. SECTION 1: Introctory Material MATH2411

More information

HOMEWORK 8 SOLUTIONS

HOMEWORK 8 SOLUTIONS HOMEWOK 8 OLUTION. Let and φ = xdy dz + ydz dx + zdx dy. let be the disk at height given by: : x + y, z =, let X be the region in 3 bounded by the cone and the disk. We orient X via dx dy dz, then by definition

More information

Lecture notes: Introduction to Partial Differential Equations

Lecture notes: Introduction to Partial Differential Equations Lecture notes: Introduction to Partial Differential Equations Sergei V. Shabanov Department of Mathematics, University of Florida, Gainesville, FL 32611 USA CHAPTER 1 Classification of Partial Differential

More information

1MA6 Partial Differentiation and Multiple Integrals: I

1MA6 Partial Differentiation and Multiple Integrals: I 1MA6/1 1MA6 Partial Differentiation and Multiple Integrals: I Dr D W Murray Michaelmas Term 1994 1. Total differential. (a) State the conditions for the expression P (x, y)dx+q(x, y)dy to be the perfect

More information

0, otherwise. Find each of the following limits, or explain that the limit does not exist.

0, otherwise. Find each of the following limits, or explain that the limit does not exist. Midterm Solutions 1, y x 4 1. Let f(x, y) = 1, y 0 0, otherwise. Find each of the following limits, or explain that the limit does not exist. (a) (b) (c) lim f(x, y) (x,y) (0,1) lim f(x, y) (x,y) (2,3)

More information

Solutions of Math 53 Midterm Exam I

Solutions of Math 53 Midterm Exam I Solutions of Math 53 Midterm Exam I Problem 1: (1) [8 points] Draw a direction field for the given differential equation y 0 = t + y. (2) [8 points] Based on the direction field, determine the behavior

More information

MATH 31BH Homework 5 Solutions

MATH 31BH Homework 5 Solutions MATH 3BH Homework 5 Solutions February 4, 204 Problem.8.2 (a) Let x t f y = x 2 + y 2 + 2z 2 and g(t) = t 2. z t 3 Then by the chain rule a a a D(g f) b = Dg f b Df b c c c = [Dg(a 2 + b 2 + 2c 2 )] [

More information

ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS EXERCISES I (HARMONIC FUNCTIONS)

ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS EXERCISES I (HARMONIC FUNCTIONS) ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS EXERCISES I (HARMONIC FUNCTIONS) MATANIA BEN-ARTZI. BOOKS [CH] R. Courant and D. Hilbert, Methods of Mathematical Physics, Vol. Interscience Publ. 962. II, [E] L.

More information

PDEs, part 1: Introduction and elliptic PDEs

PDEs, part 1: Introduction and elliptic PDEs PDEs, part 1: Introduction and elliptic PDEs Anna-Karin Tornberg Mathematical Models, Analysis and Simulation Fall semester, 2013 Partial di erential equations The solution depends on several variables,

More information

PRACTICE PROBLEMS. Please let me know if you find any mistakes in the text so that i can fix them. 1. Mixed partial derivatives.

PRACTICE PROBLEMS. Please let me know if you find any mistakes in the text so that i can fix them. 1. Mixed partial derivatives. PRACTICE PROBLEMS Please let me know if you find any mistakes in the text so that i can fix them. 1.1. Let Show that f is C 1 and yet How is that possible? 1. Mixed partial derivatives f(x, y) = {xy x

More information

Electromagnetism HW 1 math review

Electromagnetism HW 1 math review Electromagnetism HW math review Problems -5 due Mon 7th Sep, 6- due Mon 4th Sep Exercise. The Levi-Civita symbol, ɛ ijk, also known as the completely antisymmetric rank-3 tensor, has the following properties:

More information

Section Taylor and Maclaurin Series

Section Taylor and Maclaurin Series Section.0 Taylor and Maclaurin Series Ruipeng Shen Feb 5 Taylor and Maclaurin Series Main Goal: How to find a power series representation for a smooth function us assume that a smooth function has a power

More information

JUST THE MATHS UNIT NUMBER INTEGRATION APPLICATIONS 13 (Second moments of a volume (A)) A.J.Hobson

JUST THE MATHS UNIT NUMBER INTEGRATION APPLICATIONS 13 (Second moments of a volume (A)) A.J.Hobson JUST THE MATHS UNIT NUMBER 13.13 INTEGRATION APPLICATIONS 13 (Second moments of a volume (A)) by A.J.Hobson 13.13.1 Introduction 13.13. The second moment of a volume of revolution about the y-axis 13.13.3

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

Module 7: The Laplace Equation

Module 7: The Laplace Equation Module 7: The Laplace Equation In this module, we shall study one of the most important partial differential equations in physics known as the Laplace equation 2 u = 0 in Ω R n, (1) where 2 u := n i=1

More information

1 Review of di erential calculus

1 Review of di erential calculus Review of di erential calculus This chapter presents the main elements of di erential calculus needed in probability theory. Often, students taking a course on probability theory have problems with concepts

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

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

Boundary conditions. Diffusion 2: Boundary conditions, long time behavior Boundary conditions In a domain Ω one has to add boundary conditions to the heat (or diffusion) equation: 1. u(x, t) = φ for x Ω. Temperature given at the boundary. Also density given at the boundary.

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

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

Final Exam 2011 Winter Term 2 Solutions

Final Exam 2011 Winter Term 2 Solutions . (a Find the radius of convergence of the series: ( k k+ x k. Solution: Using the Ratio Test, we get: L = lim a k+ a k = lim ( k+ k+ x k+ ( k k+ x k = lim x = x. Note that the series converges for L

More information

LOWELL JOURNAL. MUST APOLOGIZE. such communication with the shore as Is m i Boimhle, noewwary and proper for the comfort

LOWELL JOURNAL. MUST APOLOGIZE. such communication with the shore as Is m i Boimhle, noewwary and proper for the comfort - 7 7 Z 8 q ) V x - X > q - < Y Y X V - z - - - - V - V - q \ - q q < -- V - - - x - - V q > x - x q - x q - x - - - 7 -» - - - - 6 q x - > - - x - - - x- - - q q - V - x - - ( Y q Y7 - >»> - x Y - ] [

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

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

is a weak solution with the a ij,b i,c2 C 1 ( )

is a weak solution with the a ij,b i,c2 C 1 ( ) Thus @u @x i PDE 69 is a weak solution with the RHS @f @x i L. Thus u W 3, loc (). Iterating further, and using a generalized Sobolev imbedding gives that u is smooth. Theorem 3.33 (Local smoothness).

More information

Implicit Functions, Curves and Surfaces

Implicit Functions, Curves and Surfaces Chapter 11 Implicit Functions, Curves and Surfaces 11.1 Implicit Function Theorem Motivation. In many problems, objects or quantities of interest can only be described indirectly or implicitly. It is then

More information

Chapter 4. Inverse Function Theorem. 4.1 The Inverse Function Theorem

Chapter 4. Inverse Function Theorem. 4.1 The Inverse Function Theorem Chapter 4 Inverse Function Theorem d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d d dd d d d d This chapter

More information

Suggested Solution to Assignment 6

Suggested Solution to Assignment 6 MATH 4 (6-7) partial diferential equations Suggested Solution to Assignment 6 Exercise 6.. Note that in the spherical coordinates (r, θ, φ), Thus, Let u = v/r, we get 3 = r + r r + r sin θ θ sin θ θ +

More information

Georgia Tech PHYS 6124 Mathematical Methods of Physics I

Georgia Tech PHYS 6124 Mathematical Methods of Physics I Georgia Tech PHYS 612 Mathematical Methods of Physics I Instructor: Predrag Cvitanović Fall semester 2012 Homework Set #5 due October 2, 2012 == show all your work for maximum credit, == put labels, title,

More information

1. The COMPLEX PLANE AND ELEMENTARY FUNCTIONS: Complex numbers; stereographic projection; simple and multiple connectivity, elementary functions.

1. The COMPLEX PLANE AND ELEMENTARY FUNCTIONS: Complex numbers; stereographic projection; simple and multiple connectivity, elementary functions. Complex Analysis Qualifying Examination 1 The COMPLEX PLANE AND ELEMENTARY FUNCTIONS: Complex numbers; stereographic projection; simple and multiple connectivity, elementary functions 2 ANALYTIC FUNCTIONS:

More information

AP Calculus 2004 AB FRQ Solutions

AP Calculus 2004 AB FRQ Solutions AP Calculus 4 AB FRQ Solutions Louis A. Talman, Ph. D. Emeritus Professor of Mathematics Metropolitan State University of Denver July, 7 Problem. Part a The function F (t) = 8 + 4 sin(t/) gives the rate,

More information

Math 31CH - Spring Final Exam

Math 31CH - Spring Final Exam Math 3H - Spring 24 - Final Exam Problem. The parabolic cylinder y = x 2 (aligned along the z-axis) is cut by the planes y =, z = and z = y. Find the volume of the solid thus obtained. Solution:We calculate

More information

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

Chain Rule. MATH 311, Calculus III. J. Robert Buchanan. Spring Department of Mathematics 3.33pt Chain Rule MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Spring 2019 Single Variable Chain Rule Suppose y = g(x) and z = f (y) then dz dx = d (f (g(x))) dx = f (g(x))g (x)

More information

MATH 124B: INTRODUCTION TO PDES AND FOURIER SERIES

MATH 124B: INTRODUCTION TO PDES AND FOURIER SERIES MATH 24B: INTROUCTION TO PES AN FOURIER SERIES SHO SETO Contents. Fourier Series.. Even, Odd, Period, and Complex functions 5.2. Orthogonality and General Fourier Series 6.3. Convergence and completeness

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

JUST THE MATHS UNIT NUMBER INTEGRATION APPLICATIONS 10 (Second moments of an arc) A.J.Hobson

JUST THE MATHS UNIT NUMBER INTEGRATION APPLICATIONS 10 (Second moments of an arc) A.J.Hobson JUST THE MATHS UNIT NUMBER 13.1 INTEGRATION APPLICATIONS 1 (Second moments of an arc) by A.J.Hobson 13.1.1 Introduction 13.1. The second moment of an arc about the y-axis 13.1.3 The second moment of an

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

Partial Differential Equations (TATA27)

Partial Differential Equations (TATA27) Partial Differential Equations (TATA7) David Rule Spring 9 Contents Preliminaries. Notation.............................................. Differential equations...................................... 3

More information

Numerical Solutions to Partial Differential Equations

Numerical Solutions to Partial Differential Equations Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University Numerical Methods for Partial Differential Equations Finite Difference Methods

More information

Calculus of Variations and Computer Vision

Calculus of Variations and Computer Vision Calculus of Variations and Computer Vision Sharat Chandran Page 1 of 23 Computer Science & Engineering Department, Indian Institute of Technology, Bombay. http://www.cse.iitb.ernet.in/ sharat January 8,

More information

MATH 411 NOTES (UNDER CONSTRUCTION)

MATH 411 NOTES (UNDER CONSTRUCTION) MATH 411 NOTES (NDE CONSTCTION 1. Notes on compact sets. This is similar to ideas you learned in Math 410, except open sets had not yet been defined. Definition 1.1. K n is compact if for every covering

More information

Math Homework 2

Math Homework 2 Math 73 Homework Due: September 8, 6 Suppose that f is holomorphic in a region Ω, ie an open connected set Prove that in any of the following cases (a) R(f) is constant; (b) I(f) is constant; (c) f is

More information

Houston Journal of Mathematics. c 2015 University of Houston Volume 41, No. 4, 2015

Houston Journal of Mathematics. c 2015 University of Houston Volume 41, No. 4, 2015 Houston Journal of Mathematics c 25 University of Houston Volume 4, No. 4, 25 AN INCREASING FUNCTION WITH INFINITELY CHANGING CONVEXITY TONG TANG, YIFEI PAN, AND MEI WANG Communicated by Min Ru Abstract.

More information

LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES)

LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) RAYTCHO LAZAROV 1 Notations and Basic Functional Spaces Scalar function in R d, d 1 will be denoted by u,

More information

NORTHEASTERN UNIVERSITY Department of Mathematics

NORTHEASTERN UNIVERSITY Department of Mathematics NORTHEASTERN UNIVERSITY Department of Mathematics MATH 1342 (Calculus 2 for Engineering and Science) Final Exam Spring 2010 Do not write in these boxes: pg1 pg2 pg3 pg4 pg5 pg6 pg7 pg8 Total (100 points)

More information

2.2 Separable Equations

2.2 Separable Equations 2.2 Separable Equations Definition A first-order differential equation that can be written in the form Is said to be separable. Note: the variables of a separable equation can be written as Examples Solve

More information

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder.

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder. Lent 29 COMPLEX METHODS G. Taylor A star means optional and not necessarily harder. Conformal maps. (i) Let f(z) = az + b, with ad bc. Where in C is f conformal? cz + d (ii) Let f(z) = z +. What are the

More information

Review for the Final Exam

Review for the Final Exam Math 171 Review for the Final Exam 1 Find the limits (4 points each) (a) lim 4x 2 3; x x (b) lim ( x 2 x x 1 )x ; (c) lim( 1 1 ); x 1 ln x x 1 sin (x 2) (d) lim x 2 x 2 4 Solutions (a) The limit lim 4x

More information

1. The accumulated net change function or area-so-far function

1. The accumulated net change function or area-so-far function Name: Section: Names of collaborators: Main Points: 1. The accumulated net change function ( area-so-far function) 2. Connection to antiderivative functions: the Fundamental Theorem of Calculus 3. Evaluating

More information

Minimal Surfaces: Nonparametric Theory. Andrejs Treibergs. January, 2016

Minimal Surfaces: Nonparametric Theory. Andrejs Treibergs. January, 2016 USAC Colloquium Minimal Surfaces: Nonparametric Theory Andrejs Treibergs University of Utah January, 2016 2. USAC Lecture: Minimal Surfaces The URL for these Beamer Slides: Minimal Surfaces: Nonparametric

More information

Advanced Calculus Math 127B, Winter 2005 Solutions: Final. nx2 1 + n 2 x, g n(x) = n2 x

Advanced Calculus Math 127B, Winter 2005 Solutions: Final. nx2 1 + n 2 x, g n(x) = n2 x . Define f n, g n : [, ] R by f n (x) = Advanced Calculus Math 27B, Winter 25 Solutions: Final nx2 + n 2 x, g n(x) = n2 x 2 + n 2 x. 2 Show that the sequences (f n ), (g n ) converge pointwise on [, ],

More information

Mathematical Analysis II, 2018/19 First semester

Mathematical Analysis II, 2018/19 First semester Mathematical Analysis II, 208/9 First semester Yoh Tanimoto Dipartimento di Matematica, Università di Roma Tor Vergata Via della Ricerca Scientifica, I-0033 Roma, Italy email: hoyt@mat.uniroma2.it We basically

More information

TEST CODE: MMA (Objective type) 2015 SYLLABUS

TEST CODE: MMA (Objective type) 2015 SYLLABUS TEST CODE: MMA (Objective type) 2015 SYLLABUS Analytical Reasoning Algebra Arithmetic, geometric and harmonic progression. Continued fractions. Elementary combinatorics: Permutations and combinations,

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

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

u(0) = u 0, u(1) = u 1. To prove what we want we introduce a new function, where c = sup x [0,1] a(x) and ɛ 0:

u(0) = u 0, u(1) = u 1. To prove what we want we introduce a new function, where c = sup x [0,1] a(x) and ɛ 0: 6. Maximum Principles Goal: gives properties of a solution of a PDE without solving it. For the two-point boundary problem we shall show that the extreme values of the solution are attained on the boundary.

More information

PROBLEM SET 6. E [w] = 1 2 D. is the smallest for w = u, where u is the solution of the Neumann problem. u = 0 in D u = h (x) on D,

PROBLEM SET 6. E [w] = 1 2 D. is the smallest for w = u, where u is the solution of the Neumann problem. u = 0 in D u = h (x) on D, PROBLEM SET 6 UE ATE: - APR 25 Chap 7, 9. Questions are either directl from the text or a small variation of a problem in the text. Collaboration is oka, but final submission must be written individuall.

More information

Math 46, Applied Math (Spring 2009): Final

Math 46, Applied Math (Spring 2009): Final Math 46, Applied Math (Spring 2009): Final 3 hours, 80 points total, 9 questions worth varying numbers of points 1. [8 points] Find an approximate solution to the following initial-value problem which

More information