Løsningsførslag i 4M

Similar documents
Chapter 4. Fourier Series

SOLUTIONS TO EXAM 3. Solution: Note that this defines two convergent geometric series with respective radii r 1 = 2/5 < 1 and r 2 = 1/5 < 1.

Solutions to Final Exam Review Problems

Math 113, Calculus II Winter 2007 Final Exam Solutions

MIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS

Math 257: Finite difference methods

A) is empty. B) is a finite set. C) can be a countably infinite set. D) can be an uncountable set.

MATH 10550, EXAM 3 SOLUTIONS

Assignment Number 3 Solutions

MATH 31B: MIDTERM 2 REVIEW

Fourier Series and their Applications

PLEASE MARK YOUR ANSWERS WITH AN X, not a circle! 1. (a) (b) (c) (d) (e) 3. (a) (b) (c) (d) (e) 5. (a) (b) (c) (d) (e) 7. (a) (b) (c) (d) (e)

Math 128A: Homework 1 Solutions

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

f(x) dx as we do. 2x dx x also diverges. Solution: We compute 2x dx lim

Chapter 9: Numerical Differentiation

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

Ma 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5

6.3 Testing Series With Positive Terms

Section A assesses the Units Numerical Analysis 1 and 2 Section B assesses the Unit Mathematics for Applied Mathematics

HOMEWORK #10 SOLUTIONS

Fourier Series and the Wave Equation

Problem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t =

Chapter 4 : Laplace Transform

Lecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods

In algebra one spends much time finding common denominators and thus simplifying rational expressions. For example:

UNIVERSITY OF CALIFORNIA - SANTA CRUZ DEPARTMENT OF PHYSICS PHYS 116C. Problem Set 4. Benjamin Stahl. November 6, 2014

Seunghee Ye Ma 8: Week 5 Oct 28

Z ß cos x + si x R du We start with the substitutio u = si(x), so du = cos(x). The itegral becomes but +u we should chage the limits to go with the ew

4x 2. (n+1) x 3 n+1. = lim. 4x 2 n+1 n3 n. n 4x 2 = lim = 3

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

LECTURE 21. DISCUSSION OF MIDTERM EXAM. θ [0, 2π). f(θ) = π θ 2

Fall 2013 MTH431/531 Real analysis Section Notes

MH1101 AY1617 Sem 2. Question 1. NOT TESTED THIS TIME

Zeros of Polynomials

MTH 142 Exam 3 Spr 2011 Practice Problem Solutions 1

MAT1026 Calculus II Basic Convergence Tests for Series

Carleton College, Winter 2017 Math 121, Practice Final Prof. Jones. Note: the exam will have a section of true-false questions, like the one below.

Please do NOT write in this box. Multiple Choice. Total

Numerical Methods in Fourier Series Applications

6. Uniform distribution mod 1

PARTIAL DIFFERENTIAL EQUATIONS SEPARATION OF VARIABLES

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

INFINITE SEQUENCES AND SERIES

Solutions to quizzes Math Spring 2007

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

Math 475, Problem Set #12: Answers

Math 132, Fall 2009 Exam 2: Solutions

Chapter 10: Power Series

Castiel, Supernatural, Season 6, Episode 18

EECS564 Estimation, Filtering, and Detection Hwk 2 Solns. Winter p θ (z) = (2θz + 1 θ), 0 z 1

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lesson 10: Limits and Continuity

Math 106 Fall 2014 Exam 3.1 December 10, 2014

TMA4205 Numerical Linear Algebra. The Poisson problem in R 2 : diagonalization methods

Topic 5 [434 marks] (i) Find the range of values of n for which. (ii) Write down the value of x dx in terms of n, when it does exist.

Regression with an Evaporating Logarithmic Trend

Calculus 2 - D. Yuen Final Exam Review (Version 11/22/2017. Please report any possible typos.)

Name: Math 10550, Final Exam: December 15, 2007

*X203/701* X203/701. APPLIED MATHEMATICS ADVANCED HIGHER Numerical Analysis. Read carefully

Let us give one more example of MLE. Example 3. The uniform distribution U[0, θ] on the interval [0, θ] has p.d.f.

MATH2007* Partial Answers to Review Exercises Fall 2004

Math 106 Fall 2014 Exam 3.2 December 10, 2014

1 Approximating Integrals using Taylor Polynomials

1 1 2 = show that: over variables x and y. [2 marks] Write down necessary conditions involving first and second-order partial derivatives for ( x0, y

x x x 2x x N ( ) p NUMERICAL METHODS UNIT-I-SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS By Newton-Raphson formula

Midterm Exam #2. Please staple this cover and honor pledge atop your solutions.

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

Physics 116A Solutions to Homework Set #9 Winter 2012

Chapter 2 The Solution of Numerical Algebraic and Transcendental Equations

Lecture 6: Integration and the Mean Value Theorem. slope =

Properties and Tests of Zeros of Polynomial Functions

PRELIM PROBLEM SOLUTIONS

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis

Read carefully the instructions on the answer book and make sure that the particulars required are entered on each answer book.

MATH Exam 1 Solutions February 24, 2016

Iterative Techniques for Solving Ax b -(3.8). Assume that the system has a unique solution. Let x be the solution. Then x A 1 b.

Chapter 6 Infinite Series

1. Hydrogen Atom: 3p State

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck!

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

1. (25 points) Use the limit definition of the definite integral and the sum formulas 1 to compute

radians A function f ( x ) is called periodic if it is defined for all real x and if there is some positive number P such that:

Chapter 7: The z-transform. Chih-Wei Liu

Math 61CM - Solutions to homework 3

Math 113 (Calculus 2) Section 12 Exam 4

Curve Sketching Handout #5 Topic Interpretation Rational Functions

11.6 Absolute Convergence and the Ratio and Root Tests

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and

Math 113 Exam 3 Practice

MATH4822E FOURIER ANALYSIS AND ITS APPLICATIONS

PROBLEMS AND SOLUTIONS 2

Math 341 Lecture #31 6.5: Power Series

Section 11.8: Power Series

Math 210A Homework 1

Appendix: The Laplace Transform

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Continuous Functions

Transcription:

Norges tekisk aturviteskapelige uiversitet Istitutt for matematiske fag Side 1 av 6 Løsigsførslag i 4M Oppgave 1 a) A sketch of the graph of the give f o the iterval [ 3, 3) is as follows: The Fourier coefficiet A = 1 x dx = /4. The Fourier coefficiets A = 1 x cos(x) dx = 1 [ x si(x) 1 = cos(x) = ( 1) 1, si(x) dx

Side av 6 for = 1,, 3,... The Fourier coefficiets B = 1 x si(x) dx = 1 [ x cos(x) + 1 = ( 1)+1 + si(x) = ( 1)+1, for = 1,, 3,... Therefore, the Fourier series of f is 4 + [ ( 1) 1 =1 cos(x) + ( 1)+1 cos(x) dx si(x). (1) b) We otice that the series give ca be obtaied after some algebra if we take x = i (1). However, f has a jump-discotiuity at x =. Thus, f(+) + f( ) = 4 + =1 ( 1) 1 cos(). Observe that f( ) = ad f(+) =. Rearragig terms i the above equatio, we get 1 (k + 1) = 8. k= Oppgave f(w) = 1 [ Sice x = x whe x < ad x = x otherwise, we have xe (a iw)x dx + Usig itegratio by parts, we get: I 1 = = xe(a iw)x = lim t xe (a+iw)x dx 1 (I 1 + I ). xe(a iw)x a iw 1 e (a iw)x dx x= a iw a iw e(a iw)x x= (a iw) x= [ ( t)e at e iwt 1 a iw (a iw) + e at e iwt (a iw) Sice it is give that a >, ad e iwt is bouded for all t, the third term above coverges to. Furthermore, we kow that t p e at, for ay power p, as t. Hece, the first term above coverges to. Thus I 1 = 1/(a iw)..

Side 3 av 6 I a similar way, the calculatio of I proceeds as follows: I = xe (a+iw)x a + iw + 1 e (a+iw)x dx a + iw = xe (a+iw)x a + iw e (a+iw)x (a + iw) = lim [ te at e iwt t a + iw + 1 (a + iw) e at e iwt. (a + iw) By exactly the same argumets as above to justify the limits, we get I = 1/(a+iw). Combiig the values of I 1 ad I, we get f(w) = 1 1 [ (a iw) + 1 (a + iw) 4iaw = (a + w ). () To evaluate the give itegral, we use the Fourier-iversio formula. By (), have: f(x) = 1 = 1 4iaw (a + w ) eiwx dw 4iaw(cos(wx) + i si(wx)) dw. (a + w ) Sice f(x) is real-valued, the imagiary part o the right-had side of the above equatio must equal zero. Hece f(x) = 1 4aw si(wx) dw x R. (a + w ) The above holds true for each x R because f is a cotiuous fuctio ad, as a >, satisfies all the coditios of the theorem that gives us the Fourier-iversio formula. Takig x = 1 ad a = 1 i the last equatios gives us the aswer: w(si(w) (1 + w ) dw = e x x=1 = e 1. Oppgave 3 a) Assumig u to be of the form u(x, t) = F (x)g(t), we get u t = F Ġ, u xx = F G. Substitutig ito the give PDE, we have F Ġ = (F 5F )G. Sice we seek o-trivial solutios, F G caot be idetically zero. Therefore, we divide the last equatio by F G to get Ġ G (t) + 5 = F (x) F (x) t > ad x (, ).

Side 4 av 6 This ca oly be possible if both sides of the above equatio are costat. This gives us the followig ODEs for F ad G: where k is a yet-udetermied costat. As u, the boudary coditios imply that Ġ + (5 k)g =, (3) F kf =, (4) F () = = F (). The equatio (4) has three differet types of solutios depedig o the sig of k Case 1. Whe k >. I this situatio, F (x) = C 1 e kx + C e kx. If F has to satisfy the boudary coditios at x =,, the a routie argumet shows that C 1 = C =. Thus, the case k > does ot yield ay o-trivial solutios. Case. Whe k =. I this situatio, F (x) = C 1 x + C, whece F (x) = C 1. The boudary coditios imply that C 1 =, but the costat C ca be o-zero. Thus, we ow eed to cosider the equatio that determies G. As k =, (3) implies that G(t) = Ae 5t, where A is some costat. Thus u (x, t) = A e 5t (5) is a solutio of the PDE ( ) of the product form satisfyig the boudary coditios, where A is a udetermied costat. Case 3. Whe k <. I this situatio, it is otatioally simpler to write k = p. The, F (x) = C 1 cos(px) + C si(px). The boudary coditios give us the equatios pc =, pc 1 si(p) + pc cos(p) =. I the preset case, p. Hece, C =, ad we are faced with the coditio si(p) =. This implies p =, =, ±1, ±,... As p, ad as cos( px) = cos(px), it suffices to oly cosider p = 1,, 3,... Correspodig to each of these values of p, k =, ad solvig (3) yields G(t) = Ae ( +5)t. Thus, correspodig to each, we have the solutio u (x, t) = A cos(x)e (5+ )t, = 1,, 3,..., (6) where A is a udetermied costat. All possible solutios of ( ) of the product form that satisfy the give boudary coditios are give by (5) ad (6).

Side 5 av 6 b) For the give problem, we ca use superpositio to look for a solutio of the form u(x, t) = A e 5t + A cos(x)e (5+ )t. Imposig the iitial coditio gives us A + =1 ( x ) A cos(x) = cos cos(5x). (7) =1 We use a half-rage expasio, with period, for the fuctio o the righthad side, ad the above equatio suggests a Fourier cosie series. But, rather tha settig up the itegrals to determie the Fourier coefficiets, we recall the trigoometric idetity: cos ( x ) = 1 + cos(x). By (7) ad orthogoality, A = for all except =, 1 ad 5. I the latter case: A = 1/, A 1 = 1/ ad A 5 =. Hece is the desired solutio. u(x, t) = e 5t + cos(x)e 6t cos(5x)e 3t Oppgave 4 a) We use the followig approximatio of the Laplace operator: u(x, y) = 1 (u(x + h, y) + u(x h, y) + u(x, y + h) + u(x, y h) 4u(x, y)) h Combied with the cetral differece approximatio of u x give i the problem we obtai the discretized equatio 1 = 1 (u(x + h, y) + u(x h, y) + u(x, y + h) + u(x, y h) 4u(x, y)) h + 1 (u(x + h, y) u(x h, y)). h Thus, with the otatio u i,j = u(i, j) for i, j =, 1,, 3 this becomes after some rearragemets u i,j = 3 8 u i+1,j + 1 8 u i 1,j + 1 4 u i,j+1 + 1 4 u i,j 1 1 4. b) The ukows are the u 1,1, u,1, u,1 ad u, while the other u i,j s are give due to the prescribed boudary values. Oe iteratio with the Gauss-Seidel method with startig values 1 yields u 1,1 = 3 8 u,1 + 1 8 u,1 + 1 4 u 1, + 1 4 u 1, 1 4 = 3 8 + 1 8 = 1,

Side 6 av 6 u,1 = 3 8 u 3,1 + 1 8 u 1,1 + 1 4 u, + 1 4 u, 1 4 = 3 8 + 1 8 1 + 1 4 + 1 4 = 13 16, ad u 1, = 3 8 u, + 1 8 u, + 1 4 u 1,3 + 1 4 u 1,1 1 4 = 3 8 + 1 8 + + 1 4 1 1 4 = 3 8, u, = 3 8 u 3, + 1 8 u 1, + 1 4 u,3 + 1 4 u,1 1 4 = 3 8 + 1 8 3 8 + + 1 4 13 16 1 4 = 3 4. These are the seeked approximatios of u(1, 1), u(, 1), u(1, ) ad u(, ). Oppgave 5 a) With the otatio P 1 = (x 1 )(x 1)(x 3 )(x ), the iterpolatig polyomial is give by P = x(x 1)(x 3 )(x ), P 3 = x(x 1 )(x 3 )(x ), P 4 = x(x 1 )(x 1)(x ), P 5 = (x 1 )(x 1)(x 3 ), 11P 1 (x)/p 1 () 7P (x)/p ( 1 )+3P 3(x)/P 3 (1)+5P 4 (x)/p 4 ( 3 )+65P 5(x)/P 5 (). This simplifies to 8x 3 + 6x 11. b) Sice Simpso s method is exact for polyomials of degree three the error is zero. Oppgave 6 a) Heu s method for solvig a ODE. The output is a approximatio of y(b) with itial value y(a) = ya, where y is a solutio of y = e y 1 o (a, b). The output would be Q.53. Follows from k 1 = e 1 1, k = e e 1 1 ad Q = (k 1 + k )/. b) Sice h = 1/ ad the method is of secod order we have y y + C/. Hece we obtai y y = 1/3 (P Q) = 1/3 (.4976.53).1.