Fourier Series and their Applications

Similar documents
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:

Sequences and Series of Functions

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

Solutions to Final Exam Review Problems

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.

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

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

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

Sequences and Limits

Indian Statistical Institute, Bangalore Centre Solution set of M.Math II Year, End-Sem Examination 2015 Fourier Analysis

Fall 2013 MTH431/531 Real analysis Section Notes

Mathematical Methods for Physics and Engineering

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion

Math 341 Lecture #31 6.5: Power Series

Assignment 1 : Real Numbers, Sequences. for n 1. Show that (x n ) converges. Further, by observing that x n+2 + x n+1

MATH4822E FOURIER ANALYSIS AND ITS APPLICATIONS

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 +

Chapter 4. Fourier Series

SUMMARY OF SEQUENCES AND SERIES

Chapter 6 Infinite Series

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

PAPER : IIT-JAM 2010

lim za n n = z lim a n n.

Complex Analysis Spring 2001 Homework I Solution

1 lim. f(x) sin(nx)dx = 0. n sin(nx)dx

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

Quiz. Use either the RATIO or ROOT TEST to determine whether the series is convergent or not.

(a) (b) All real numbers. (c) All real numbers. (d) None. to show the. (a) 3. (b) [ 7, 1) (c) ( 7, 1) (d) At x = 7. (a) (b)

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

ON CONVERGENCE OF BASIC HYPERGEOMETRIC SERIES. 1. Introduction Basic hypergeometric series (cf. [GR]) with the base q is defined by

Notes 12 Asymptotic Series

FINAL EXAMINATION IN FOUNDATION OF ANALYSIS (TMA4225)

1 Lecture 2: Sequence, Series and power series (8/14/2012)

CHAPTER 1 SEQUENCES AND INFINITE SERIES

Chapter 8. Uniform Convergence and Differentiation.

2.4.2 A Theorem About Absolutely Convergent Series

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

ENGI Series Page 6-01

MA131 - Analysis 1. Workbook 9 Series III

6. Uniform distribution mod 1

Chapter 10: Power Series

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

Lecture 3: Convergence of Fourier Series

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so

Additional Notes on Power Series

j=1 dz Res(f, z j ) = 1 d k 1 dz k 1 (z c)k f(z) Res(f, c) = lim z c (k 1)! Res g, c = f(c) g (c)

Solutions to Homework 1

Ans: a n = 3 + ( 1) n Determine whether the sequence converges or diverges. If it converges, find the limit.

Sequences. A Sequence is a list of numbers written in order.

Notes 8 Singularities

Math 113, Calculus II Winter 2007 Final Exam Solutions

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

Løsningsførslag i 4M

Proposition 2.1. There are an infinite number of primes of the form p = 4n 1. Proof. Suppose there are only a finite number of such primes, say

Arkansas Tech University MATH 2924: Calculus II Dr. Marcel B. Finan

Council for Innovative Research

ANSWERS TO MIDTERM EXAM # 2

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

Solutions to quizzes Math Spring 2007

THE INTEGRAL TEST AND ESTIMATES OF SUMS

MATH 10550, EXAM 3 SOLUTIONS

PRELIM PROBLEM SOLUTIONS

Math 210A Homework 1

MTH Assignment 1 : Real Numbers, Sequences

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Solutions to Practice Midterms. Practice Midterm 1

f(x)g(x) dx is an inner product on D.

MAT1026 Calculus II Basic Convergence Tests for Series

B U Department of Mathematics Math 101 Calculus I

Chapter 8. Euler s Gamma function

Analytic Continuation

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

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

2. The volume of the solid of revolution generated by revolving the area bounded by the

MATH 413 FINAL EXAM. f(x) f(y) M x y. x + 1 n

Lecture 19: Convergence

Sequence and Series of Functions

ST5215: Advanced Statistical Theory

1 Approximating Integrals using Taylor Polynomials

Notes: MA1102: Series and Matrices

REGULARIZATION OF CERTAIN DIVERGENT SERIES OF POLYNOMIALS

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology

De Moivre s Theorem - ALL

In this section, we show how to use the integral test to decide whether a series

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that

Math 113 Exam 4 Practice

IIT JAM Mathematical Statistics (MS) 2006 SECTION A

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

MTH 142 Exam 3 Spr 2011 Practice Problem Solutions 1

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

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

Math 21B-B - Homework Set 2

Singular Continuous Measures by Michael Pejic 5/14/10

The Bilateral Laplace Transform of the Positive Even Functions and a Proof of Riemann Hypothesis

EE 4TM4: Digital Communications II Probability Theory

f x x c x c x c... x c...

Math Solutions to homework 6

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial.

Series III. Chapter Alternating Series

Transcription:

Fourier Series ad their Applicatios The fuctios, cos x, si x, cos x, si x, are orthogoal over (, ). m cos mx cos xdx = m = m = = cos mx si xdx = for all m, { m si mx si xdx = m = I fact the fuctios satisfy these relatios over ay iterval (α, α + ). Assumig that f(x), defied ad itegrable i (, ), has a expasio. a + (a cos mx + b si x) uiformly coverget over (, ) f(x)dx = a f(x) cos xdx = a therefore a + ib = f(x) si xdx = b f(x)e ix dx These coefficiets exist irrespective of whether or ot the series coverges ad is equal to f(x), ad they are called the Fourier coefficiets. Sufficiet Coditios for covergece f(x) f(ξ) a) If f(x) is differetiable at ξ (or if m, such that x ξ < m, xɛ(ξ h, ξ + h)) the the fourier series coverges at ξ to f(ξ). b) If f(x) is mootoic i ξ < x < ξ + h ad i ξ h < x < ξ for some h >, the the fourier series coverges at ξ to the value {f(ξ ) + f(ξ + )}.

Geeral Rage The rage a x b is stadardised by substitutig X = ( ) x a+b ) ( b a the < X <. The series a + a cos X + b si X becomes ( ) ( ) x (a + b) x (a + b) a + a cos + b si b a b a Periodicity of f(x) We suppose that f(x) is represeted by the series (whe cgt.) for all x, hece sice the sum fuctio of the series is periodic, with period, we have f(x + ) = f(x) which defies f(x) outside the origial rage. Fourier Series for t ( < t < ) First cosider the idetity m + e ix = e(m+)ix e ix i si ) ( x x + i si m + = e(m+ )ix e ix ) x ( cos x i si x) = cos ( m + i si x Hece for x real (x, ±, ) takig real ad imagiary parts: m Re : + cos x = + si ( m + ) x si x or m + si ( m + ) x si x () cos x = Im : cot m x + si x = cos ( m + ) x si x () Itegrate () ad () from x to m (): ( x) si x = si ( m + ) t x si t dt (3) [ ( (): log si )] [ m ] t cos t + = cos ( m + ) t x x si t dt (4) x Now suppose δ x δ.

The usig the Riema Lebesgue theorem, we have, lettig m i (3) ad (4) ( x) = si x (5) log si x ( ) cos x + = Therefore log si x = cos x (6) Alterative Proof of (5) ad (6) ξ dt log( ξ) = t where we take a cut alog the positive real axis i the t-plae from to. The brach of log( ξ) chose is that which is real whe ξ is real, ad is oe-valued i the cut plae. I particular this vaishes at ξ = t = + t + + tm + tm t ξ dt m therefore t = ξ ξ + t m t dt where the path is take alog the radius ξ. DIAGRAM For all t o the radius through ξ t si θ Re(ξ) > otherwise Hece i all cases t si δ whe δ arg ξ δ ( < δ < ) ξ t m Therefore t dt = r (pe iθ ) m e iθ dp t r p m si δ dp = r m+ si δ m + r (m + ) si δ ξ m Hece lim t m dt t δ arg ξ δ r Whe r = the covergece is uiform with respect to θ. Hece we have ξ log( ξ) = Where the series coverges o ξ = except at ξ =, uiformly i δ arg ξ δ 3

log( ξ) = log ξ + i arg( ξ) = log ( si ) ( θ i θ ) Takig real ad imagiary parts gives θ = si θ log ( si ) θ cos θ = Covergece beig uiform i δ θ δ. < θ < Fourier Expasio of the Beroulli polyomials i t. Values of the Beroulli umbers. Put x = t i ( x) = si x Therefore t = si t si t = () < t < si t Therefore P (t) = P (t) = P (t) P () = Therefore P (t) = t P (s)ds The series () coverges uiformly i ɛ t ɛ t t si s P (s)ds = ɛ ɛ ds ɛ t ɛ cos ɛ cos t = () The series o the right coverges absolutely ad uiformly sice cos(t) () () ad coverges. t cos t Hece P (s)ds = t () (usig cotiuity) Hece P (t) = P cos t + () () 4

P = () = () S Next P 3(t) = P (t) P si t Therefore P 3 (t) = () 3 ad geerally we have P m (t) P m = ( ) m cos t m= () m P m+ (t) = ( ) m si t () m+ S m m= P m = ( ) m () m We also have φ m (t) = P m (t) m =, 3, m! B m (m)! = ( )m P m For k it ca be show that S k + (S k ) Therefore S k = + o(k) Also P m+ (t) ( ) m si t () m+ P m (t) ( ) m ( cos t) () m Fourier Series of the Square Wave We have ( x) = si x Write y = x y = si y ( ) si x x = ( ) si x Write f(x) = ( ) < x < < y < < x < 5

Graph of f(x) is show by solid lies. Graph of f(x + ) is show by broke lies. Graph of f(x) f(x + ) is show by dotted lies. The fourier series of f(x) f(x + ) is the si x ( ) ( ) si x ( ) si( + )x = 4 = + { 4 si( + )x + < x < = = + < x < Fid coefficiets by direct itegratio. Gibbs Pheomeo Write S m (x) = 4 m si( + )x = + d m 4 dx S si(m + )x m(x) = cos( + )x = = si x (m + ) This vaishes i o < x < at x = m + m + S m (x) is symmetrical about. Hece cosider the value of S m for < x <, ad i particular at x =, the first max. m ( + ) 4 S m+ si(m + )t m = dt m + si t s Put t = the we have m + 6

( ) 4 si = si sds m + (m + ) si s = ( ) sis m+ s φ s ds m + where φ(u) = u si u. s Now φ(u) φ(δ) u δ < ad m + m + ( ) ( ) So φ φ s m + m + si s i s s si s ( Hece s ds si s s φ s ( ) m + si s φ m + s ds ( ) Sice lim φ = we have m m + ( ) si s lim m s φ s si s ds = m + s ds ( ) Hece lim S m = m m + ) ds si s ds.79 > s Dirichlet s Formula (sufficiet coditios for covergece) Assume that f(x) is bouded ad itegrable over [, ], ad f(x + ) = f(x) Write S m (x) = m a + (a cos x + b si x) = [ m ] f(t) + (cos t cos x + si t si x) dt = [ m ] f(t) + cos (t x) dt = f(t) si ( ) m + (t x) si dt (t x) = = = x x f(x + s) si ( ) m + s si s ds f(x + s) si ( ) m + s si s ds by periodicity [f(x + t) + f(x t)] si ( ) m + t si t dt as si ( ) m + t si t is eve. 7

Sice m + cos x = si ( ) m + x si x, = si ( m + ) x si x dx Therefore [f(x + ) + f(x )] = [f(x + ) + f(x )] si ( m + si t Therefore S m (x) [f(x + ) + f(x )] = [f(x + t) f(x + )] si ( ) m + t si t dt + [f(x t) f(x )] si ( ) m + t si t dt () Whe f(x + ) = f(x ) = f(x) () becomes S m (x) f(x) = [f(x + t) + f(x t) f(x)] si ( ) m + t si t dt (a) The itegrals appearig i () ad (a) are all of the form b φ(t) si λtdt where a =, b =, λ = m + a f(x + t) f(x + ) f(x t) f(x ) φ(t) = si t, si t, or f(x + t) + f(x t) f(x) si t Hece if φ(t) is bouded ad itegrable over [, ], the by the Riema Lebesgue theorem, φ(t) si λt as λ. I fact i the above cases φ(t) is bouded ad itegrable over [h, ] h > ad so the covergece depeds oly o the behaviour of the fuctio i a sufficietly small iterval [, h]. Itegratio of a Fourier Series If f(x) is bouded ad itegrable i [, ] ad F (x) = ) t ( f(t) ) a dt Where a = f is the costat term i the Fourier series for f, the F (x) has a Fourier series, coverget everywhere to F (x), obtaied by itegratig the Fourier series for f(x) a term by term. [This holds eve if the Fourier series for f does ot coverge.] 8

F (x) is a absolutely cotiuous fuctio ad hece possesses a Fourier series covergig everywhere to F (x). F (x) = A + (A cos x + B si x) Assumig that f is cotiuous o (, ) esures the existece of F (x), ad A = F (x) cos xdx =,, = [ ] si x F (x) F (x) si xdx = ( f(x) ) a si xdx [F () = F () = ] = f(x) si xdx = b Similarly B = a Therefore F (x) = A + b cos x + a si x Puttig x = gives (a b ) = ( ) Therefore F (x) = = x a si x + b (( ) cos x) {a cos t + b si t}dt Differetiatio of a Fourier Series This is ot always valid. si x e.g. = ( x) x d si x = cos x which does ot coverge. dx Sufficiet Coditios If f(x) is cotiuous ad f (x) exists except at a fiite umber of poits, ad both f(x) ad f (x) have Fourier series which coverge, the the series for f (x) is obtaied by term by term differetiatio of the Fourier series for f(x). i.e. f(x) = a + a cos x + b si x 9

[f (x + ) + f (x )] = b cos x a si x [This is really just the same as the result for itegratio, with slightly weaker coditios.] Half-Rage Series Let f(x) be bouded ad itegrable i [, ] () Cosie Series defie f c (x) = { f(x) x f( x) x The f c (x) is a eve fuctio, which has a Fourier series i which b a = = () Sie Series defie f s (x) = f c (x) cos xdx f c (x) cos xdx = { f(x) < x < f( x) < x < If f() f s is discotiuous at. If f() f s is discotiuous at. f(x) cos xdx The f s (x) is a odd fuctio, ad has a Fourier series i which a b = = f s (x) si xdx f s (x) si xdx = f(x) si xdx Order of magitude of Fourier coefficiets a ib = f(x)e ix dx = c () Suppose f(x) ad all its derivatives are bouded ad cotiuous i (, α ), (α, α ) (α k, ) Write c m = f (m) (x)e ix dx

αr+ = k f (m) (x)e ix dx () α r Itegratig () by parts gives [ k c = c = f(x) ] αr+ αr+ i e ix f (x)e ix dx = i = i r= [ k α r + i f(α r + )e iαr f(α r+ )e iα r+ + r= α r [ f( + )e i f( )e i αr+ α r f (x)e ix dx ] k + {f(α r + ) f(α r )}e iαr + c () r= f( + ) = f( + ) by periodicity Therefore f( + )e i f( )e i = [f( + ) f( )]e i = [f(α k+ + ) f(α k+ )]e iα k+ Hece we have c () = c() i Write J (m) + i = k+ r= k+ r= {f(α r + ) f(α r )}e iαr {f (m) (α r + ) f (m) (α r )}e iαr Therefore c () = c() i + J () i Similarly c () = c() i + J () i Therefore c () = J () i + J () (i) + c() (i) Sice c () = f (x)e ix dx is bouded, if J () = for all m the c = c () is O ( ) as If also J () = for all m the c = c () is O ( ) as 3 I particular if f, f (), f (r) are cotiuous but f (r+) is ot cotiuous the c = O ( I fact J () ) as r+ vaishes oly if f is cotiuous for if we write k+ j r e iαr. f(α r + ) f(α r ) = j r the J () = If J () = for m the r= ]

k+ r= j r e iαr = = m, m +, Takig = m, m +,, m + k, we write e iαr = z r z m z m z m k+ j Therefore.. = z m+k z m+k zk+ m+k j k+ The determiat of the matrix is (z z z k+ ) m z z k+ = (z z z k+ ) m r z s ). z k zk+ k r>s(z z r z s for r s Therefore the determiat is o zero. Therefore j = j = = j k+ = Therefore f is cotiuous. Parseval s Theorem If f(x) is bouded ad itegrable i (, ) the (f(x)) dx = a + (a + b ). [Note that this is true eve though f(x) does ot equal the sum of its Fourier series.] If we assume that f(x) is cotiuous ad the Fourier series coverges to f(x), f (x) = [ ] f(x) a + (a cos x + b si x) dx Sice uiformity of covergece is ot affected by multiplyig by f(x) we ca itegrate term by term RHS= a f(x)dx + a f(x) cos xdx + b f(x) si xdx = a + a + b