SOLUTIONS TO PROBLEMS FROM ASSIGNMENT 5. Problems 3.1:6bd
|
|
- Bruce Williams
- 6 years ago
- Views:
Transcription
1 SOLUTIONS TO PROBLEMS FROM ASSIGNMENT 5 Statement. Solve the problem Problems 3.1:6bd u t = u xx, (t ), with the initial condition u(x, ) = f(x), where the functions u(x, t) and f(x) are assumed to be 2π-periodic in the x variable. The function f is given in each case by (b) f(x) = cos(2x) 6 sin(2x), (d) f(x) = 6 sin(x) 7 cos(3x) 7 sin(3x). Solution. We know that the solution of the above problem with the initial condition N f(x) = A + (a n cos(nx) + b n sin(nx)), is given by u(x, t) = A + n=1 N e n2t (a n cos(nx) + b n sin(nx)). n=1 A direct application of this formula gives (b) u(x, t) = e 4t cos(2x) 6e 4t sin(2x), (d) u(x, t) = 6e t sin(x) 7e 9t cos(3x) 7e 9t sin(3x). Statement. (a) Consider the problem Problem 3.1:8 u t = ku xx, (x, t ), u(, t) = cos(ωt), (t ). This is a heat conduction problem for a semi-infinite rod (x ) whose end (at x = ) is subjected to a periodic temperature variation u(, t) = cos(ωt). Use the particular solutions u(x, t) = Ae λx cos(λx + λ 2 t) + Be λx sin(λx + λ 2 t), (2) to find a solution of this problem which has both of the additional properties: (P1) u(x, t) as x, (P2) u(x, t + 2π ω ) = u(x, t). (b) Show that the solution of (1) is not unique, if either (P1) or (P2) is omitted. (c) Assuming that ω = π 2 and k = π 4, roughly sketch the graph of the temperature distribution in the xu-plane when t =, 1, 2, 3, 4, paying attention to where u(x, t) =. (d) Show that at any fixed time t, the distance between consecutive local maxima, say x 1 and x 2, of u(x, t) is 2π ω, and show that the ratio u(x 2, t)/u(x 1, t) is e 2π.187, regardless of the positive values of k and ω. (1) Date: Winter
2 2 SOLUTIONS TO PROBLEMS FROM ASSIGNMENT 5 Solution. (a) In view of (2), the boundary condition u(, t) = cos(ωt) gives u(, t) = A cos(λ 2 t) + B sin(λ 2 t) = cos(ωt), t, implying that A = 1, B =, and λ = ± ω, i.e., we have the solution u(x, t) = exp(± ω x) cos(± ω x + ωt). (3) In order to satisfy (P1) we need to choose the minus sign in ± ω, so we finally have u(x, t) = exp( ω x) cos( ω x + ωt). (4) It is clear that this solution satisfies (P2). (b) If (P1) is omitted, we can choose either plus or minus sign in (3), which means that the solution is not unique. On the other hand, if (P2) is dropped, we can add any v(x, t) satisfying to u(x, t). For example, we can take v(x, t) = v t = kv xx, (x, t ), v(, t) =, (t ), 1 t + 1 (exp ( ) )) (x 1)2 (x + 1)2 exp (. 4k(t + 1) 4k(t + 1) (c) The time snapshots are depicted in Figure 1. To give a better idea of how the solution looks like, a spacetime graph of the solution is shown in Figure Figure 1. Time snapshots of the solution for 3.1:8c. t = 1 red, t = 2 yellow, t = 3 green, t = 4 blue again. Legend: t = blue, (d) The x-derivative of (4) is u x (x, t) = ω exp( ω x) ( cos( ω x + ωt) sin( ω x + ωt)) = ω k exp( ω x) cos( ω x + ωt + π 4 ). Since exp( ω x) for all x, the zeroes of u x(x, t) coincide with the zeroes of cos( ω x + ωt+ π 4 ). The latter function is periodic in x with period 2π ω. This implies that the distance
3 SOLUTIONS TO PROBLEMS FROM ASSIGNMENT 5 3 Figure 2. Spacetime graph of the solution for 3.1:8c. The t-axis is the one from left to right, the x-axis is from top to bottom, and the u-axis is directed towards the reader. between consecutive local maxima is 2π ω (there are two zeroes of u x in one period, but one of the zeroes corresponds to a local minumum). As for the ratio of the values, we have u(x 2, t) u(x 1, t) = exp( ω x 2) cos( ω x 2 + ωt + π 4 ) exp( ω x 1) cos( ω x 1 + ωt + π 4 ) = exp( ω 2π ω ) = e 2π, where we have taken into account the periodicity of cosine and the fact that x 2 x 1 = 2π Statement. Problem 3.2:1 (a) Let v(x, t) be any C 2 solution of v t = kv xx ( x L, t ), which satisfies the boundary conditions v(, t) = and v(l, t) = (without initial condition). Show that for any t 1, t 2, with t 2 t 1, [v(x, t 2 )] 2 dx ω. [v(x, t 1 )] 2 dx. (5) (b) Explain why the conclusion (5) still holds when the boundary conditions are replaced by any of the following pairs of boundary conditions: (i) v x (, t) = v x (L, t) =,
4 4 SOLUTIONS TO PROBLEMS FROM ASSIGNMENT 5 (ii) v x (, t) = v(l, t) =, (iii) v x (, t) = h v(, t) and v(l, t) =, where h >. Solution. Let us define the function E(t) = [v(x, t)] 2 dx, which can be called energy. Then (5) can be rephrased as E(t 2 ) E(t 1 ), for t 2 t 1. In other words, we have to show that E is a nondecreasing function of t. Let us calculate the time derivative of E as E (t) = 2v(x, t)v t (x, t)dx = 2v(x, t)kv xx (x, t)dx = v(l, t)v x (L, t) v(, t)v x (, t) v(l, t)v x (L, t) v(, t)v x (, t). v x (x, t) 2 dx (6) We will show below that E (t) in various cases, which will then imply that E is nondecreasing. Note that each case requires a slightly different reasoning. (a) We have (b)(i) Similarly, we have (b)(ii) We have (b)(iii) We have E (t) v(l, t) v x (L, t) v(, t) v x (, t) =. = = E (t) v(l, t) v x (L, t) v(, t) v x (, t) =. = = E (t) v(l, t) v x (L, t) v(, t) v x (, t) =. = = E (t) v(l, t) v x (L, t) v(, t) v x (, t) = h v(, t) 2. = =hv(,t) Problem 3.2:2 Statement. State and prove a uniqueness theorem for the problem u t = u xx, with the boundary conditions u x (, t) = a(t) and u x (L, t) = b(t), and the initial condition u(x, ) = f(x).
5 SOLUTIONS TO PROBLEMS FROM ASSIGNMENT 5 5 Solution. We will prove that any two C 2 solutions u 1 and u 2 must be equal to each other. Supposing that u 1 and u 2 are two C 2 solutions of our problem, let us define v = u 1 u 2. Then by subtracting the equations satisfied by u 2 from the corresponding ones for u 1, we see that v satisfies v t = v xx with the boundary conditions v x (, t) = v x (L, t) =, and the initial condition v(x, ) =. We want to show that v is zero everywhere. From Part (b)(i) of the previous problem, we have E(t) E() for all t, that is E(t) = [v(x, t)] 2 dx E() = [v(x, )] 2 dx =. Since v(x, t) is a continuous function of x, this implies that v(x, t) = for all x L, and as t was arbitrary, we conclude that v = everywhere. Problem 3.2:3 Statement. Use maximum/minimum principles to deduce that the solution u of the problem u t = ku xx, ( x π, t ), u(, t) = u(π, t) =, (t ), u(x, ) = sin x sin 2x, satisfies u(x, t) for all x π and t. ( x π), Solution. We will show that sin x sin 2x for all x π, which would then imply by the maximum and minimum principles the desired bounds for the solution u. First of all, the representation f(x) = sin x sin 2x = sin x + sin x cos x = (1 + cos x) sin x, reveals that f(x) for x π. Let us find the maximum of f(x). We calculate f (x) = cos x + cos 2x = 2 cos 2 x + cos x 1, whose zeros are given by cos x = 1±3 4. This implies x = 2π 3 and x = π. The point x = π is clearly not a maximum because f(π) =. The other candidate gives f( 2π 3 ) = (1 + cos 2π 3 ) sin 2π 3 = 3 2 It is easy to see from the behaviour of the function f (x) or from an inspection of f (x) that x = 2π 3 is the only maximum point in the interval x π. 3 2.
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 informationAnalysis III (BAUG) Assignment 3 Prof. Dr. Alessandro Sisto Due 13th October 2017
Analysis III (BAUG Assignment 3 Prof. Dr. Alessandro Sisto Due 13th October 2017 Question 1 et a 0,..., a n be constants. Consider the function. Show that a 0 = 1 0 φ(xdx. φ(x = a 0 + Since the integral
More informationThe Maximum and Minimum Principle
MODULE 5: HEAT EQUATION 5 Lecture 2 The Maximum and Minimum Principle In this lecture, we shall prove the maximum and minimum properties of the heat equation. These properties can be used to prove uniqueness
More informationTake Home Exam I Key
Take Home Exam I Key MA 336 1. (5 points) Read sections 2.1 to 2.6 in the text (which we ve already talked about in class), and the handout on Solving the Nonhomogeneous Heat Equation. Solution: You did
More informationMath 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 informationMath 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 informationMATH 412 Fourier Series and PDE- Spring 2010 SOLUTIONS to HOMEWORK 6
MATH 412 Fourier Series and PDE- Spring 21 SOLUTIONS to HOMEWORK 6 Problem 1. Solve the following problem u t u xx =1+xcos t
More informationDiffusion on the half-line. The Dirichlet problem
Diffusion on the half-line The Dirichlet problem Consider the initial boundary value problem (IBVP) on the half line (, ): v t kv xx = v(x, ) = φ(x) v(, t) =. The solution will be obtained by the reflection
More informationPractice Exercises on Differential Equations
Practice Exercises on Differential Equations What follows are some exerices to help with your studying for the part of the final exam on differential equations. In this regard, keep in mind that the exercises
More informationMATH 251 Final Examination May 3, 2017 FORM A. Name: Student Number: Section:
MATH 5 Final Examination May 3, 07 FORM A Name: Student Number: Section: This exam has 6 questions for a total of 50 points. In order to obtain full credit for partial credit problems, all work must be
More informationThe Area bounded by Two Functions
The Area bounded by Two Functions The graph below shows 2 functions f(x) and g(x) that are continuous between x = a and x = b and f(x) g(x). The area shaded in green is the area between the 2 curves. We
More informationStrauss 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 informationExamination paper for TMA4122/TMA4123/TMA4125/TMA4130 Matematikk 4M/N
Department of Mathematical Sciences Examination paper for TMA4122/TMA4123/TMA4125/TMA4130 Matematikk 4M/N Academic contact during examination: Markus Grasmair Phone: 97 58 04 35 Code C): Basic calculator.
More information(c) Find the equation of the degree 3 polynomial that has the same y-value, slope, curvature, and third derivative as ln(x + 1) at x = 0.
Chapter 7 Challenge problems Example. (a) Find the equation of the tangent line for ln(x + ) at x = 0. (b) Find the equation of the parabola that is tangent to ln(x + ) at x = 0 (i.e. the parabola has
More informationFourier Integral. Dr Mansoor Alshehri. King Saud University. MATH204-Differential Equations Center of Excellence in Learning and Teaching 1 / 22
Dr Mansoor Alshehri King Saud University MATH4-Differential Equations Center of Excellence in Learning and Teaching / Fourier Cosine and Sine Series Integrals The Complex Form of Fourier Integral MATH4-Differential
More informationMa 221 Final Exam Solutions 5/14/13
Ma 221 Final Exam Solutions 5/14/13 1. Solve (a) (8 pts) Solution: The equation is separable. dy dx exy y 1 y0 0 y 1e y dy e x dx y 1e y dy e x dx ye y e y dy e x dx ye y e y e y e x c The last step comes
More informationMATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section:
MATH 5 Final Examination December 6, 5 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 5 points. In order to obtain full credit for partial credit problems, all work must
More informationMA Chapter 10 practice
MA 33 Chapter 1 practice NAME INSTRUCTOR 1. Instructor s names: Chen. Course number: MA33. 3. TEST/QUIZ NUMBER is: 1 if this sheet is yellow if this sheet is blue 3 if this sheet is white 4. Sign the scantron
More informationSeparation of Variables. A. Three Famous PDE s
Separation of Variables c 14, Philip D. Loewen A. Three Famous PDE s 1. Wave Equation. Displacement u depends on position and time: u = u(x, t. Concavity drives acceleration: u tt = c u xx.. Heat Equation.
More informationReview Sol. of More Long Answer Questions
Review Sol. of More Long Answer Questions 1. Solve the integro-differential equation t y (t) e t v y(v)dv = t; y()=. (1) Solution. The key is to recognize the convolution: t e t v y(v) dv = e t y. () Now
More informationSAMPLE 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 informationMATH 251 Final Examination December 19, 2012 FORM A. Name: Student Number: Section:
MATH 251 Final Examination December 19, 2012 FORM A Name: Student Number: Section: This exam has 17 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all
More informationExamples of the Fourier Theorem (Sect. 10.3). The Fourier Theorem: Continuous case.
s of the Fourier Theorem (Sect. 1.3. The Fourier Theorem: Continuous case. : Using the Fourier Theorem. The Fourier Theorem: Piecewise continuous case. : Using the Fourier Theorem. The Fourier Theorem:
More information6 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 informationCLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE
CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE 1. Linear Partial Differential Equations A partial differential equation (PDE) is an equation, for an unknown function u, that
More informationMATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section:
MATH 2 Final Examination December 6, 204 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 0 points. In order to obtain full credit for partial credit problems, all work must
More information1 Solution to Homework 4
Solution to Homework Section. 5. The characteristic equation is r r + = (r )(r ) = 0 r = or r =. y(t) = c e t + c e t y = c e t + c e t. y(0) =, y (0) = c + c =, c + c = c =, c =. To find the maximum value
More informationMath Practice Exam 3 - solutions
Math 181 - Practice Exam 3 - solutions Problem 1 Consider the function h(x) = (9x 2 33x 25)e 3x+1. a) Find h (x). b) Find all values of x where h (x) is zero ( critical values ). c) Using the sign pattern
More informationThe Theory of Second Order Linear Differential Equations 1 Michael C. Sullivan Math Department Southern Illinois University
The Theory of Second Order Linear Differential Equations 1 Michael C. Sullivan Math Department Southern Illinois University These notes are intended as a supplement to section 3.2 of the textbook Elementary
More informationFourier and Partial Differential Equations
Chapter 5 Fourier and Partial Differential Equations 5.1 Fourier MATH 294 SPRING 1982 FINAL # 5 5.1.1 Consider the function 2x, 0 x 1. a) Sketch the odd extension of this function on 1 x 1. b) Expand the
More informationProblem Set 1. This week. Please read all of Chapter 1 in the Strauss text.
Math 425, Spring 2015 Jerry L. Kazdan Problem Set 1 Due: Thurs. Jan. 22 in class. [Late papers will be accepted until 1:00 PM Friday.] This is rust remover. It is essentially Homework Set 0 with a few
More informationClassification of Phase Portraits at Equilibria for u (t) = f( u(t))
Classification of Phase Portraits at Equilibria for u t = f ut Transfer of Local Linearized Phase Portrait Transfer of Local Linearized Stability How to Classify Linear Equilibria Justification of the
More informationComputer Problems for Fourier Series and Transforms
Computer Problems for Fourier Series and Transforms 1. Square waves are frequently used in electronics and signal processing. An example is shown below. 1 π < x < 0 1 0 < x < π y(x) = 1 π < x < 2π... and
More information1 Separation of Variables
Jim ambers ENERGY 281 Spring Quarter 27-8 ecture 2 Notes 1 Separation of Variables In the previous lecture, we learned how to derive a PDE that describes fluid flow. Now, we will learn a number of analytical
More informationMATH 124B: HOMEWORK 2
MATH 24B: HOMEWORK 2 Suggested due date: August 5th, 26 () Consider the geometric series ( ) n x 2n. (a) Does it converge pointwise in the interval < x
More informationHow many initial conditions are required to fully determine the general solution to a 2nd order linear differential equation?
How many initial conditions are required to fully determine the general solution to a 2nd order linear differential equation? (A) 0 (B) 1 (C) 2 (D) more than 2 (E) it depends or don t know How many of
More informationThis is a closed everything exam, except for a 3x5 card with notes. Please put away all books, calculators and other portable electronic devices.
Math 54 final, Spring 00, John Lott This is a closed everything exam, except for a x5 card with notes. Please put away all books, calculators and other portable electronic devices. You need to justify
More informationAnalysis III Solutions - Serie 12
.. Necessary condition Let us consider the following problem for < x, y < π, u =, for < x, y < π, u y (x, π) = x a, for < x < π, u y (x, ) = a x, for < x < π, u x (, y) = u x (π, y) =, for < y < π. Find
More informationIn this lecture we shall learn how to solve the inhomogeneous heat equation. u t α 2 u xx = h(x, t)
MODULE 5: HEAT EQUATION 2 Lecture 5 Time-Dependent BC In this lecture we shall learn how to solve the inhomogeneous heat equation u t α 2 u xx = h(x, t) with time-dependent BC. To begin with, let us consider
More informationMa 221 Eigenvalues and Fourier Series
Ma Eigenvalues and Fourier Series Eigenvalue and Eigenfunction Examples Example Find the eigenvalues and eigenfunctions for y y 47 y y y5 Solution: The characteristic equation is r r 47 so r 44 447 6 Thus
More information1 Distributions (due January 22, 2009)
Distributions (due January 22, 29). The distribution derivative of the locally integrable function ln( x ) is the principal value distribution /x. We know that, φ = lim φ(x) dx. x ɛ x Show that x, φ =
More informationMath Assignment 14
Math 2280 - Assignment 14 Dylan Zwick Spring 2014 Section 9.5-1, 3, 5, 7, 9 Section 9.6-1, 3, 5, 7, 14 Section 9.7-1, 2, 3, 4 1 Section 9.5 - Heat Conduction and Separation of Variables 9.5.1 - Solve the
More information13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs)
13 PDEs on spatially bounded domains: initial boundary value problems (IBVPs) A prototypical problem we will discuss in detail is the 1D diffusion equation u t = Du xx < x < l, t > finite-length rod u(x,
More informationMath 3150 HW 3 Solutions
Math 315 HW 3 Solutions June 5, 18 3.8, 3.9, 3.1, 3.13, 3.16, 3.1 1. 3.8 Make graphs of the periodic extensions on the region x [ 3, 3] of the following functions f defined on x [, ]. Be sure to indicate
More informationMATH 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 informationMath 54: Mock Final. December 11, y y 2y = cos(x) sin(2x). The auxiliary equation for the corresponding homogeneous problem is
Name: Solutions Math 54: Mock Final December, 25 Find the general solution of y y 2y = cos(x) sin(2x) The auxiliary equation for the corresponding homogeneous problem is r 2 r 2 = (r 2)(r + ) = r = 2,
More informationTaylor Series and stationary points
Chapter 5 Taylor Series and stationary points 5.1 Taylor Series The surface z = f(x, y) and its derivatives can give a series approximation for f(x, y) about some point (x 0, y 0 ) as illustrated in Figure
More informationMore on Fourier Series
More on Fourier Series R. C. Trinity University Partial Differential Equations Lecture 6.1 New Fourier series from old Recall: Given a function f (x, we can dilate/translate its graph via multiplication/addition,
More informationSolutions 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 informationMathematical MCQ for international students admitted to École polytechnique
Mathematical MCQ for international students admitted to École polytechnique This multiple-choice questionnaire is intended for international students admitted to the first year of the engineering program
More informationLoudspeaker/driving frequency close or equal to its natural frequency
Question nswer 1(a)(i) Resonance / resonating / resonates 1 (a)(ii) 1(b) Loudspeaker/driving frequency close or equal to its natural frequency so energy transfer is maximised/large energy transfer is very
More information2001 Higher Maths Non-Calculator PAPER 1 ( Non-Calc. )
001 PAPER 1 ( Non-Calc. ) 1 1) Find the equation of the straight line which is parallel to the line with equation x + 3y = 5 and which passes through the point (, 1). Parallel lines have the same gradient.
More informationMATH 23 Exam 2 Review Solutions
MATH 23 Exam 2 Review Solutions Problem 1. Use the method of reduction of order to find a second solution of the given differential equation x 2 y (x 0.1875)y = 0, x > 0, y 1 (x) = x 1/4 e 2 x Solution
More informationa k cos(kx) + b k sin(kx), (1.1)
FOURIER SERIES. INTRODUCTION In this chapter, we examine the trigonometric expansion of a function f(x) defined on an interval such as x π. A trigonometric expansion is a sum of the form a 0 + k a k cos(kx)
More informationMATH 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 informationMath 311, Partial Differential Equations, Winter 2015, Midterm
Score: Name: Math 3, Partial Differential Equations, Winter 205, Midterm Instructions. Write all solutions in the space provided, and use the back pages if you have to. 2. The test is out of 60. There
More informationMATH 261 MATH 261: Elementary Differential Equations MATH 261 FALL 2005 FINAL EXAM FALL 2005 FINAL EXAM EXAMINATION COVER PAGE Professor Moseley
MATH 6 MATH 6: Elementary Differential Equations MATH 6 FALL 5 FINAL EXAM FALL 5 FINAL EXAM EXAMINATION COVER PAGE Professor Moseley PRINT NAME ( ) Last Name, First Name MI (What you wish to be called)
More informationFinal: 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 informationReview 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 information17 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 informationLast 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 informationChapter 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 informationMath 121 Winter 2010 Review Sheet
Math 121 Winter 2010 Review Sheet March 14, 2010 This review sheet contains a number of problems covering the material that we went over after the third midterm exam. These problems (in conjunction with
More informationCalculus I Practice Problems 8: Answers
Calculus I Practice Problems : Answers. Let y x x. Find the intervals in which the function is increasing and decreasing, and where it is concave up and concave down. Sketch the graph. Answer. Differentiate
More informationStrauss PDEs 2e: Section Exercise 2 Page 1 of 6. Solve the completely inhomogeneous diffusion problem on the half-line
Strauss PDEs 2e: Section 3.3 - Exercise 2 Page of 6 Exercise 2 Solve the completely inhomogeneous diffusion problem on the half-line v t kv xx = f(x, t) for < x
More informationMcGill University Math 325A: Differential Equations LECTURE 12: SOLUTIONS FOR EQUATIONS WITH CONSTANTS COEFFICIENTS (II)
McGill University Math 325A: Differential Equations LECTURE 12: SOLUTIONS FOR EQUATIONS WITH CONSTANTS COEFFICIENTS (II) HIGHER ORDER DIFFERENTIAL EQUATIONS (IV) 1 Introduction (Text: pp. 338-367, Chap.
More informationMATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section:
MATH 251 Final Examination May 4, 2015 FORM A Name: Student Number: Section: This exam has 16 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all work must
More informationFOURIER TRANSFORMS. At, is sometimes taken as 0.5 or it may not have any specific value. Shifting at
Chapter 2 FOURIER TRANSFORMS 2.1 Introduction The Fourier series expresses any periodic function into a sum of sinusoids. The Fourier transform is the extension of this idea to non-periodic functions by
More informationMIDTERM 2 SOLUTIONS Physics 8B - Lecture 2, E. Lebow April 16, 2015
MIDTEM 2 SOLUTIONS Physics 8B - Lecture 2, E. Lebow April 16, 2015 1. i. TUE. This is due to the absence of magnetic monopoles, and also follows from the magnetic Gauss s law. ii. FALSE. The intensity
More informationPartial 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 informationLECTURE 19: SEPARATION OF VARIABLES, HEAT CONDUCTION IN A ROD
ECTURE 19: SEPARATION OF VARIABES, HEAT CONDUCTION IN A ROD The idea of separation of variables is simple: in order to solve a partial differential equation in u(x, t), we ask, is it possible to find a
More informationOne variable optimization
Università Ca Foscari di Venezia - Dipartimento di Economia - A.A.06-07 Mathematics (Curriculum Economics, Markets and Finance) Luciano Battaia October 9, 06 These notes are a summary of chapter 8 of the
More informationBasic Differential Equations
Unit #15 - Differential Equations Some problems and solutions selected or adapted from Hughes-Hallett Calculus. Basic Differential Equations 1. Show that y = x + sin(x) π satisfies the initial value problem
More informationSolutions Serie 1 - preliminary exercises
D-MAVT D-MATL Prof. A. Iozzi ETH Zürich Analysis III Autumn 08 Solutions Serie - preliminary exercises. Compute the following primitive integrals using partial integration. a) cos(x) cos(x) dx cos(x) cos(x)
More informationx n+1 = ( x n + ) converges, then it converges to α. [2]
1 A Level - Mathematics P 3 ITERATION ( With references and answers) [ Numerical Solution of Equation] Q1. The equation x 3 - x 2 6 = 0 has one real root, denoted by α. i) Find by calculation the pair
More informationMAXIMA AND MINIMA CHAPTER 7.1 INTRODUCTION 7.2 CONCEPT OF LOCAL MAXIMA AND LOCAL MINIMA
CHAPTER 7 MAXIMA AND MINIMA 7.1 INTRODUCTION The notion of optimizing functions is one of the most important application of calculus used in almost every sphere of life including geometry, business, trade,
More informationThe number of marks is given in brackets [ ] at the end of each question or part question. The total number of marks for this paper is 72.
ADVANCED GCE UNIT 758/0 MATHEMATICS (MEI) Differential Equations THURSDAY 5 JANUARY 007 Additional materials: Answer booklet (8 pages) Graph paper MEI Examination Formulae and Tables (MF) Morning Time:
More informationENGI 9420 Lecture Notes 8 - PDEs Page 8.01
ENGI 940 Lecture Notes 8 - PDEs Page 8.01 8. Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives
More information( x) Solutions 9(c) 1. Complete solutions to Exercise 9(c) 1. We first make a sketch of y = sin x ( ): Area A= Area B. By (9.6) = cos cos 0 = 2 = 2
Solutions 9(c) Complete solutions to Exercise 9(c). We first make a sketch of y = sin x : y Area A y =sin(x).5 4 5 6 x -.5 Area B By (9.6) Similarly Thus - Area A= sin x dx ( x) ( ) [ ] = cos = cos cos
More informationPDEs, Homework #3 Solutions. 1. Use Hölder s inequality to show that the solution of the heat equation
PDEs, Homework #3 Solutions. Use Hölder s inequality to show that the solution of the heat equation u t = ku xx, u(x, = φ(x (HE goes to zero as t, if φ is continuous and bounded with φ L p for some p.
More informationCampus Academic Resource Program Chain Rule
This handout will: Provide a strategy to identify composite functions Provide a strategy to find chain rule by using a substitution method. Identifying Composite Functions This section will provide a strategy
More informationMATH 425, HOMEWORK 3 SOLUTIONS
MATH 425, HOMEWORK 3 SOLUTIONS Exercise. (The differentiation property of the heat equation In this exercise, we will use the fact that the derivative of a solution to the heat equation again solves the
More informationThe 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 informationMathematics for Engineers II. lectures. Power series, Fourier series
Power series, Fourier series Power series, Taylor series It is a well-known fact, that 1 + x + x 2 + x 3 + = n=0 x n = 1 1 x if 1 < x < 1. On the left hand side of the equation there is sum containing
More informationMA1021 Calculus I B Term, Sign:
MA1021 Calculus I B Term, 2014 Final Exam Print Name: Sign: Write up your solutions neatly and show all your work. 1. (28 pts) Compute each of the following derivatives: You do not have to simplify your
More informationPartial Differential Equations, Winter 2015
Partial Differential Equations, Winter 215 Homework #2 Due: Thursday, February 12th, 215 1. (Chapter 2.1) Solve u xx + u xt 2u tt =, u(x, ) = φ(x), u t (x, ) = ψ(x). Hint: Factor the operator as we did
More informationSET 1. (1) Solve for x: (a) e 2x = 5 3x
() Solve for x: (a) e x = 5 3x SET We take natural log on both sides: ln(e x ) = ln(5 3x ) x = 3 x ln(5) Now we take log base on both sides: log ( x ) = log (3 x ln 5) x = log (3 x ) + log (ln(5)) x x
More informationHEINEMANN HIGHER CHECKLIST
St Ninian s High School HEINEMANN HIGHER CHECKLIST I understand this part of the course = I am unsure of this part of the course = Name Class Teacher I do not understand this part of the course = Topic
More informationCalculus 221 worksheet
Calculus 221 worksheet Graphing A function has a global maximum at some a in its domain if f(x) f(a) for all other x in the domain of f. Global maxima are sometimes also called absolute maxima. A function
More informationMAT137 Calculus! Lecture 9
MAT137 Calculus! Lecture 9 Today we will study: Limits at infinity. L Hôpital s Rule. Mean Value Theorem. (11.5,11.6, 4.1) PS3 is due this Friday June 16. Next class: Applications of the Mean Value Theorem.
More informationAPPLICATIONS OF DIFFERENTIATION
4 APPLICATIONS OF DIFFERENTIATION APPLICATIONS OF DIFFERENTIATION Many applications of calculus depend on our ability to deduce facts about a function f from information concerning its derivatives. APPLICATIONS
More informationName: AK-Nummer: Ergänzungsprüfung January 29, 2016
INSTRUCTIONS: The test has a total of 32 pages including this title page and 9 questions which are marked out of 10 points; ensure that you do not omit a page by mistake. Please write your name and AK-Nummer
More informationMATH 135 Calculus 1 Solutions/Answers for Exam 3 Practice Problems November 18, 2016
MATH 35 Calculus Solutions/Answers for Exam 3 Practice Problems November 8, 206 I. Find the indicated derivative(s) and simplify. (A) ( y = ln(x) x 7 4 ) x Solution: By the product rule and the derivative
More informationMATH 251 Final Examination August 10, 2011 FORM A. Name: Student Number: Section:
MATH 251 Final Examination August 10, 2011 FORM A Name: Student Number: Section: This exam has 10 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all work
More information4 1-D Boundary Value Problems Heat Equation
4 -D Boundary Vaue Probems Heat Equation The main purpose of this chapter is to study boundary vaue probems for the heat equation on a finite rod a x b. u t (x, t = ku xx (x, t, a < x < b, t > u(x, = ϕ(x
More informationPRACTICE PROBLEM SET
PRACTICE PROBLEM SET NOTE: On the exam, you will have to show all your work (unless told otherwise), so write down all your steps and justify them. Exercise. Solve the following inequalities: () x < 3
More informationExample 2.1. Draw the points with polar coordinates: (i) (3, π) (ii) (2, π/4) (iii) (6, 2π/4) We illustrate all on the following graph:
Section 10.3: Polar Coordinates The polar coordinate system is another way to coordinatize the Cartesian plane. It is particularly useful when examining regions which are circular. 1. Cartesian Coordinates
More informationPhasor Young Won Lim 05/19/2015
Phasor Copyright (c) 2009-2015 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version
More informationSchool of Mathematics & Statistics MT 4507/ Classical Mechanics - Solutions Sheet 1
T. Neukirch Sem /3 School of Mathematics & Statistics MT 457/587 - Classical Mechanics - Solutions Sheet. (i) A = (,, ), B = (4,, 3) C = (,, ) (a) The magnitudes of A, B and C are A A = A = + + = 9 = A
More informationBoundary value problems for partial differential equations
Boundary value problems for partial differential equations Henrik Schlichtkrull March 11, 213 1 Boundary value problem 2 1 Introduction This note contains a brief introduction to linear partial differential
More information