Math 565: Introduction to Harmonic Analysis - Spring 2008 Homework # 2, Daewon Chung
|
|
- Benjamin Perkins
- 5 years ago
- Views:
Transcription
1 Math 565: Introduction to Harmonic Analysis - Spring 8 Homework #, Daewon Chung. Show that, and that Hχ [a, b] : lim H χ [a, b] a b. H χ [a, b] : sup > H χ [a, b] a b. [Solution] Let us pick < min a, b and we consider three cases < a, > b, and < a < < b. By definition, H χ [a, b] K χ [a, b] χ [a, b] y y χ { y >}ydy χ [ a, b] y dy y y dy y > y > b<y< a If < a, then b < y < a < <, and H χ [a, b] a b y dy a b. If > b, then < b < y < a, and we have the same result as above. If a < < b, then b < y < or < y < a, thus H χ [a, b] a b y dy + y dy b a + a b,. Thus, for every case, we have Hχ [a, b] lim H χ [a, b] a b. Consider now H χ [ a, b]. If we consider > ma a, b, then the integral region becomes an empty set. We consider the case when is between a and b. If < a, then b < y < < a <, and Since < b and H χ [a, b] b <, b H χ [a, b] y dy If > b, then b < < y < a, and we have H χ [a, b] a y dy b > a b. b < a b. a < a b.
2 If a < < b, then there are two possibilities. One is b < < a, i.e. H χ [a, b] a y dy a < a b. Another is a < < b, i.e. H χ [a, b] b y dy b b < a b. Hence, by first part, we can conclude that H χ [a, b] sup H χ [a, b] a b,. Show that { : Hχ[ a, b] > λ} 4 b a e λ e λ. More generally show that for any measurable subset E of of finite measure E, { : HχE > λ} 4 E E e λ e λ λ. [Solution] By first problem, we know Hχ [ a, b] b. First, we need to observe the function. This function has a horizontal asymptote y, vertical asymptote b and has a function value a b a at a + b/. Therefore we can figure out the graph of a b. a a b λ E E λ b Figure. Graph of a b. Let E { : Hχ [ a, b] > λ} E E, we can find E E + E as follows. Let E [α, β ]. Then α a be λ e λ
3 can be found with a b λ because of α < a < b, and β be λ + a + e λ can be found with a b e λ, a < β < b. Also, if we set E [α, β ] then we can find similarly Then α beλ + a + e λ, β beλ a e λ. E β α + β α be λ + a a be λ + e λ e λ + beλ a e λ beλ + a + e λ b + aeλ + e λ aeλ b e λ + beλ a e λ beλ + a b a + a beλ + eλ + e λ + b aeλ + b a e λ e λ b a + e λ + eλ + e λ 4e λ b a e λ 4b a e λ e λ. Now, to see the general case let us assume E is the union of finitely many disjoint intervals, each of finite length. We may epress E in the form E n a j, b j, where the a j and b j, j,,..., n, satisfy a < b < a < b < < a n < b n. It follows from the linearity of the Hilbert transform that Hχ E a b + a b + + a n b n n a j b j. Fi λ > and set F { : Hχ E > λ} Then F can be decomposed into the disjoint union where g is the rational function defined by F { g > e λ } { g < e λ } F F, g n a j b j. Here, we claim that if µ, then the equation g µ has n distinct root r, r,..., r n which satisfy Furthermore, if µ >, then b j r j + µ b j a j. µ {g > µ} µ + {g < µ} b j a j. 3
4 µ a b r a b r b n r n Figure. Graph of g n a j b j. Since g has a simple pole at each b j, j,,..., n, and g approach to as goes to infinity, there are eactly n distinct solutions, say r, r,..., r n, to the equation g µ, µ Figure.. Since the numbers r, r,..., r n are the roots of g µ, those are also n roots of the n-th degree polynomial equation p, where n n p p j j a j µ b j. j The sum r j of the roots is equal to p n /p n so, equating coefficients of n and of n in p, we can have p n µ and p n a j + µ b j, thus we obtain j r j which is equivalent to b j µ r j µ µ r j µ r j r j + µ µ j a j + µ b j, a j n µ + r j + µ a j µ µ µ r j µ µ a j + µ b j a j a j µ µ r j + µ b j + µ b j a j. Thus we prove the our first claim. If µ >, then { g > µ} n b j, r j Figure., so the identity; µ {g > µ} n b j a j follows from directly from the previous result. The other one can be established in similar fashion. Now we go back to our case, then we obtain from the claim, F {g > e λ } + {g < e λ } E e λ + 4 E e λ + E e λ e λ. a j
5 By considering the rational function /g instead of g, and applying the anaous version of claim we obtain a similar estimate F E /e λ e λ. Since F F + F, we have { : HχE > λ} 4 E e λ e λ, where E is the union of finitely many disjoint intervals. For given general measurable subset E of with finite measure, we can find E n such that each E n is a finite union of intervals and E n \ E as n. Then, as n, χ En χ E L χ En χ E d d E n \ E. Also, by L boundedness of Hilbert transform, Hχ En converge to Hχ E in L -sense, also it converges in weak L. Thus, given > find an N such that for n > N, we have E n \E Hχ En Hχ E L, sup α { : Hχ En Hχ E > α} < +. α> Taking α, we have Hχ En converge to Hχ E in measure. Then some subsequence of Hχ En converges to Hχ E almost everywhere. Hence, by Lebesgue s Dominated Convergence Theorem with dominate function χ { HχE >λ}. lim { : Hχ E nk > λ} lim d k k { : Hχ Enk >λ} lim χ { HχE k n k >λ}d lim χ { Hχ k E n k >λ}d χ { HχE >λ}d { : Hχ E > λ}. This and the fact: e e give us desired result. t 3. Let P t be the Poisson kernel, and Q +t t be the Conjugate Poisson kernel defined +t for all t >. Check that {P t } t> is an approimation of the identity as t, but {Q t } t> is not. Verify that P t ξ e t ξ, Qt ξ isgnξe t ξ. [Solution] Let s try to see {P t } t> is an approimation of the identity as t. After substitute y /t for fied t, we can see P t d t + t dt y + dy tan y. Because P t is positive for all, P t L <. And we need to show, for all δ >, P t d. lim t >δ 5
6 For fied δ, >δ P t d P t d >δ / tan δ t sec θ tan θ + dθ δ t + t d tan δ t. Since, δ/t as t, lim P t d lim t >δ t δ tan. t On the other hand, + t d + t d + + t. + t d + t d Thus {Q t } t> is not an approimation of the identity. Now, we ll see Fourier transform of each kernel. If we show that e ξ t e iξ t dξ P t + t, then, by the Fourier inversion theorem in the case of moderate decrease function, we can have P t e iξ d e ξ t. This mean e ξ t is a Fourier transform of P t. Now, we try to see the previous equality by calculate the integral separately. e ξt e iξ dξ e i+itξ dξ ei+itξ i + it i + it, and e ξt e iξ dξ e i itξ dξ ei itξ i it By adding these two integration, we get desired result, e ξ t e iξ dξ i + it + i it i it. t + t. To avoid the sign confuse, we ll calculate the Q t ξ for the two cases. If ξ, then Q t ξ + t e iξ d cosξ sinξ + t d i + t d e + t eiξ d i Im + t eiξ d. 6
7 Let fz zeiξz z + t. Consider the integral of fz over a closed semicircular contour C [, ] Γ with radius in the upper half plane. Then ze C iξz z z dz iesfz, it i + t z + it eiξz ie ξt. zit On the other hand, as, because of Γ ze C iξz z + t dz + t eiξ d + Γ z z + t eiξz dz e iθ e iθ + t e ξ sin θ dθ z z + t eiξz dz / which tends to as approaches. Thus, + t eiξ d ie ξt, + t eiξ d e 4ξθ dθ e ξ, ξ that implies, for ξ, Q t ξ ie ξt. If ξ <, denote ξ η η >, then Q t ξ + t eiη d cosη + t d + i + t eiη d ie ηt ie tξ. sinη + t d by previous contour integral. Hence, we can see Fourier transform of Conjugate Poisson kernel is Q t ξ isgnξe t ξ. 4. Eercise 4.. a in Grafakos characterization of the Hilbert transform via invariances Prove that if T is a bounded operator on L that commutes with translations and dilations and anticommutes with the reflection f f f, then T is a constant multiple of the Hilbert transform. [Solution] Since T commutes with translations, then T is a convolution type operator.grafakos, Theorem.5.. Thus, there eist unique tempered distribution v such that After taken Fourier transform, we can get T f f v. T fξ uξ fξ, 7
8 where uξ vξ. Since T commutes with dilations, for a >, we have that However, T anticommutes with reflection, we have T δ a f δ a T f. T δ a f sgna δ a T f, for all values of a. Let gξ fξ, and observe dilation of uξgξ with Time-Frequency Dictionary. a uξ/agξ/a δ auξgξ δ a T ǧ ξ a sgna T δ a a ǧ ξ sgna a This gives us, for a, δ a T ǧ ξ a sgna T δ a ǧ ξ uξ δ a ǧ ξ sgna a uξaδ agξ sgna uξ a gξ/a. uξ/a sgna uξ. Thus, uξ must be a constant multiple of sgnξ, and if we denote this constant with C then where D Ci is a constant. T f idsgnξ fξ D isgnξ fξ DHf, 8
9 [emark.] In the class, we have a little problem to prove the weak type, of Hilbert transform. The question was for L function, two definitions of Hilbert transform are coincide. Actually we ve solved in the class. However, it is still interesting question for more general function which is in L p. First, we may check this for characteristic function with Hf isgnξ fξ. We already found one in the problem. Now, we ll use the followings to see the other. For any number c, d >, d d I e y e y d ddy y dy c dy y d. By Fubini s theorem, c I d c c e y dyd We will use the last equality for following calculation. c e d e c d c d. Hχ [ a, b] isgnξ χ [ a, b] ξ isgn ξ e iξa e iξb iξ sgn ξ e iξ a e iξ b dξ ξ e iξ a e iξ b e iξ b e iξ a dξ + dξ ξ< ξ ξ> ξ e iξ b e iξ a + e iξb e iξa dξ ξ> ξ e iξ b e iξ a ξ i a ia + i b ib dξ + e iξb e iξa ξ a b. We may show, for any f L, that H f converge to Hf isgnξ fξ in L sense, as. This give us strong type of,. Since the step functions are dense in L, for f L, there is c j and A j [a j, b j ] for j,,..., so that f c j χ [aj, b j ] as n. L Thus, for given >, we can choose N such that f c j χ [aj, b j ] L. Also, we have seen, from the previous observationproblem, lim H χ [a,b] and Hχ [a,b] are coincide. By linearity of H and H, we can have lim H c j χ [aj, b j ] H 9 c j χ [aj, b j ]. dξ
10 Then we can have lim H f Hf L lim H f lim H N c j χ [aj, b j ] + H N c j χ [aj, b j ] Hf lim H f lim H N c j χ [aj, b j ] Hf L + N H c j χ [aj, b j ] L lim H f f c j χ [aj, b j ] H L + N f c j χ [aj, b j ] L c j χ [aj, b j ] L. Then, we can finished the proof of weak type, of H as we did in the class. Since the step functions are also dense in L, for f L, there is c j and A j [a j, b j ] for j,,... and we can choose some positive integer N so that f c j χ [aj, b j ], L for any given. Then, we claim that, for all δ >, { : lim H f Hf > δ}. Choose N so that f N c jχ [aj, b j ] L δ /4, then we have { : lim H f Hf > δ} { : lim H f lim H c j χ [aj, b j ] + H c j χ [aj, b j ] Hf > δ} { : lim H f 4C δ f N c j χ [aj, b j ] > δ/} + { : H f c j χ [aj, b j ] > δ/} c j χ [aj, b j ] C. L Last inequality due to the weak type, of Hilbert transform. Therefore we can conclude, for any f L p, p, fy lim y > y dy isgnξ fξ almost everywhere. Then, by duality argument and interpolation, we can conclude that fy lim y dy isgnξ fξ a.e., for given f L p, p <, y > L
Harmonic Analysis Homework 5
Harmonic Analysis Homework 5 Bruno Poggi Department of Mathematics, University of Minnesota November 4, 6 Notation Throughout, B, r is the ball of radius r with center in the understood metric space usually
More informationThe Hilbert transform
The Hilbert transform Definition and properties ecall the distribution pv(, defined by pv(/(ϕ := lim ɛ ɛ ϕ( d. The Hilbert transform is defined via the convolution with pv(/, namely (Hf( := π lim f( t
More informationSolution to Exercise 3
Spring 207 MATH502 Real Analysis II Solution to Eercise 3 () For a, b > 0, set a sin( b ), 0 < f() = 0, = 0. nπ+π/2 Show that f is in BV [0, ] iff a > b. ( ) b Solution. Put n = for n 0. We claim that
More informationPart IB. Further Analysis. Year
Year 2004 2003 2002 2001 10 2004 2/I/4E Let τ be the topology on N consisting of the empty set and all sets X N such that N \ X is finite. Let σ be the usual topology on R, and let ρ be the topology on
More informationSolutions: 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 informationSOLUTIONS TO HOMEWORK ASSIGNMENT 4
SOLUTIONS TO HOMEWOK ASSIGNMENT 4 Exercise. A criterion for the image under the Hilbert transform to belong to L Let φ S be given. Show that Hφ L if and only if φx dx = 0. Solution: Suppose first that
More informationFolland: Real Analysis, Chapter 8 Sébastien Picard
Folland: Real Analysis, Chapter 8 Sébastien Picard Problem 8.3 Let η(t) = e /t for t >, η(t) = for t. a. For k N and t >, η (k) (t) = P k (/t)e /t where P k is a polynomial of degree 2k. b. η (k) () exists
More informationComplex Analysis, Stein and Shakarchi The Fourier Transform
Complex Analysis, Stein and Shakarchi Chapter 4 The Fourier Transform Yung-Hsiang Huang 2017.11.05 1 Exercises 1. Suppose f L 1 (), and f 0. Show that f 0. emark 1. This proof is observed by Newmann (published
More information13. Fourier transforms
(December 16, 2017) 13. Fourier transforms Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2017-18/13 Fourier transforms.pdf]
More informationIn last semester, we have seen some examples about it (See Tutorial Note #13). Try to have a look on that. Here we try to show more technique.
MATH202 Introduction to Analysis (2007 Fall and 2008 Spring) Tutorial Note #4 Part I: Cauchy Sequence Definition (Cauchy Sequence): A sequence of real number { n } is Cauchy if and only if for any ε >
More informationMath 172 Problem Set 8 Solutions
Math 72 Problem Set 8 Solutions Problem. (i We have (Fχ [ a,a] (ξ = χ [ a,a] e ixξ dx = a a e ixξ dx = iξ (e iax e iax = 2 sin aξ. ξ (ii We have (Fχ [, e ax (ξ = e ax e ixξ dx = e x(a+iξ dx = a + iξ where
More informationFourier Series. ,..., e ixn ). Conversely, each 2π-periodic function φ : R n C induces a unique φ : T n C for which φ(e ix 1
Fourier Series Let {e j : 1 j n} be the standard basis in R n. We say f : R n C is π-periodic in each variable if f(x + πe j ) = f(x) x R n, 1 j n. We can identify π-periodic functions with functions on
More informationWe denote the space of distributions on Ω by D ( Ω) 2.
Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study
More informationSingular Integrals. 1 Calderon-Zygmund decomposition
Singular Integrals Analysis III Calderon-Zygmund decomposition Let f be an integrable function f dx 0, f = g + b with g Cα almost everywhere, with b
More informationTopics in Harmonic Analysis Lecture 1: The Fourier transform
Topics in Harmonic Analysis Lecture 1: The Fourier transform Po-Lam Yung The Chinese University of Hong Kong Outline Fourier series on T: L 2 theory Convolutions The Dirichlet and Fejer kernels Pointwise
More informationChapter 1. Fourier Series. 1.1 Introduction.
Chapter Fourier Series. Introduction. We will consider comple valued periodic functions on R with period. We can view them as functions defined on the circumference of the unit circle in the comple plane
More informationCOMPLEX ANALYSIS Spring 2014
COMPLEX ANALYSIS Spring 24 Homework 4 Solutions Exercise Do and hand in exercise, Chapter 3, p. 4. Solution. The exercise states: Show that if a
More informationMath 172 Problem Set 5 Solutions
Math 172 Problem Set 5 Solutions 2.4 Let E = {(t, x : < x b, x t b}. To prove integrability of g, first observe that b b b f(t b b g(x dx = dt t dx f(t t dtdx. x Next note that f(t/t χ E is a measurable
More informationHomework 27. Homework 28. Homework 29. Homework 30. Prof. Girardi, Math 703, Fall 2012 Homework: Define f : C C and u, v : R 2 R by
Homework 27 Define f : C C and u, v : R 2 R by f(z) := xy where x := Re z, y := Im z u(x, y) = Re f(x + iy) v(x, y) = Im f(x + iy). Show that 1. u and v satisfies the Cauchy Riemann equations at (x, y)
More informationMath 104: Homework 7 solutions
Math 04: Homework 7 solutions. (a) The derivative of f () = is f () = 2 which is unbounded as 0. Since f () is continuous on [0, ], it is uniformly continous on this interval by Theorem 9.2. Hence for
More information1.5 Approximate Identities
38 1 The Fourier Transform on L 1 (R) which are dense subspaces of L p (R). On these domains, P : D P L p (R) and M : D M L p (R). Show, however, that P and M are unbounded even when restricted to these
More informationNAME: MATH 172: Lebesgue Integration and Fourier Analysis (winter 2012) Final exam. Wednesday, March 21, time: 2.5h
NAME: SOLUTION problem # 1 2 3 4 5 6 7 8 9 points max 15 20 10 15 10 10 10 10 10 110 MATH 172: Lebesgue Integration and Fourier Analysis (winter 2012 Final exam Wednesday, March 21, 2012 time: 2.5h Please
More informationCHAPTER VI APPLICATIONS TO ANALYSIS
CHAPTER VI APPLICATIONS TO ANALYSIS We include in this chapter several subjects from classical analysis to which the notions of functional analysis can be applied. Some of these subjects are essential
More information1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer 11(2) (1989),
Real Analysis 2, Math 651, Spring 2005 April 26, 2005 1 Real Analysis 2, Math 651, Spring 2005 Krzysztof Chris Ciesielski 1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer
More information1. Find the domain of the following functions. Write your answer using interval notation. (9 pts.)
MATH- Sample Eam Spring 7. Find the domain of the following functions. Write your answer using interval notation. (9 pts.) a. 9 f ( ) b. g ( ) 9 8 8. Write the equation of the circle in standard form given
More informationComplex Analysis, Stein and Shakarchi Meromorphic Functions and the Logarithm
Complex Analysis, Stein and Shakarchi Chapter 3 Meromorphic Functions and the Logarithm Yung-Hsiang Huang 217.11.5 Exercises 1. From the identity sin πz = eiπz e iπz 2i, it s easy to show its zeros are
More informationHomework If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator.
Homework 3 1 If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator Solution: Assuming that the inverse of T were defined, then we will have to have that D(T 1
More informationAverage theorem, Restriction theorem and Strichartz estimates
Average theorem, Restriction theorem and trichartz estimates 2 August 27 Abstract We provide the details of the proof of the average theorem and the restriction theorem. Emphasis has been placed on the
More informationFourier transforms, I
(November 28, 2016) Fourier transforms, I Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/fun/notes 2016-17/Fourier transforms I.pdf]
More informationSome basic elements of Probability Theory
Chapter I Some basic elements of Probability Theory 1 Terminology (and elementary observations Probability theory and the material covered in a basic Real Variables course have much in common. However
More informationTools from Lebesgue integration
Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given
More informationSynopsis of Complex Analysis. Ryan D. Reece
Synopsis of Complex Analysis Ryan D. Reece December 7, 2006 Chapter Complex Numbers. The Parts of a Complex Number A complex number, z, is an ordered pair of real numbers similar to the points in the real
More informationMath Subject GRE Questions
Math Subject GRE Questions Calculus and Differential Equations 1. If f() = e e, then [f ()] 2 [f()] 2 equals (a) 4 (b) 4e 2 (c) 2e (d) 2 (e) 2e 2. An integrating factor for the ordinary differential equation
More informationf (x)e inx dx 2π π for 2π period functions. Now take we can take an arbitrary interval, then our dense exponentials are 1 2π e(inπx)/a.
7 Fourier Transforms (Lecture with S. Helgason) Fourier series are defined as f () a n e in, a n = π f ()e in d π π for π period functions. Now take we can take an arbitrary interval, then our dense eponentials
More informationMTH3101 Spring 2017 HW Assignment 4: Sec. 26: #6,7; Sec. 33: #5,7; Sec. 38: #8; Sec. 40: #2 The due date for this assignment is 2/23/17.
MTH0 Spring 07 HW Assignment : Sec. 6: #6,7; Sec. : #5,7; Sec. 8: #8; Sec. 0: # The due date for this assignment is //7. Sec. 6: #6. Use results in Sec. to verify that the function g z = ln r + iθ r >
More informationLebesgue Integration on R n
Lebesgue Integration on R n The treatment here is based loosely on that of Jones, Lebesgue Integration on Euclidean Space We give an overview from the perspective of a user of the theory Riemann integration
More informationSolutions to Problem Sheet for Week 11
THE UNIVERSITY OF SYDNEY SCHOOL OF MATHEMATICS AND STATISTICS Solutions to Problem Sheet for Week MATH9: Differential Calculus (Advanced) Semester, 7 Web Page: sydney.edu.au/science/maths/u/ug/jm/math9/
More informationANALYSIS QUALIFYING EXAM FALL 2017: SOLUTIONS. 1 cos(nx) lim. n 2 x 2. g n (x) = 1 cos(nx) n 2 x 2. x 2.
ANALYSIS QUALIFYING EXAM FALL 27: SOLUTIONS Problem. Determine, with justification, the it cos(nx) n 2 x 2 dx. Solution. For an integer n >, define g n : (, ) R by Also define g : (, ) R by g(x) = g n
More information= 1 2 x (x 1) + 1 {x} (1 {x}). [t] dt = 1 x (x 1) + O (1), [t] dt = 1 2 x2 + O (x), (where the error is not now zero when x is an integer.
Problem Sheet,. i) Draw the graphs for [] and {}. ii) Show that for α R, α+ α [t] dt = α and α+ α {t} dt =. Hint Split these integrals at the integer which must lie in any interval of length, such as [α,
More informationMath 19, Homework-1 Solutions
SSEA Summer 207 Math 9, Homework- Solutions. Consider the graph of function f shown below. Find the following its or eplain why they do not eist: (a) t 2 f(t). = 0. (b) t f(t). =. (c) t 0 f(t). (d) Does
More informationMath 220A - Fall Final Exam Solutions
Math 22A - Fall 216 - Final Exam Solutions Problem 1. Let f be an entire function and let n 2. Show that there exists an entire function g with g n = f if and only if the orders of all zeroes of f are
More information4 Riesz Kernels. Since the functions k i (ξ) = ξ i. are bounded functions it is clear that R
4 Riesz Kernels. A natural generalization of the Hilbert transform to higher dimension is mutiplication of the Fourier Transform by homogeneous functions of degree 0, the simplest ones being R i f(ξ) =
More information1 Introduction. 2 Measure theoretic definitions
1 Introduction These notes aim to recall some basic definitions needed for dealing with random variables. Sections to 5 follow mostly the presentation given in chapter two of [1]. Measure theoretic definitions
More informationSecond Midterm Exam Name: Practice Problems March 10, 2015
Math 160 1. Treibergs Second Midterm Exam Name: Practice Problems March 10, 015 1. Determine the singular points of the function and state why the function is analytic everywhere else: z 1 fz) = z + 1)z
More informationSome commonly encountered sets and their notations
NATIONAL UNIVERSITY OF SINGAPORE DEPARTMENT OF MATHEMATICS (This notes are based on the book Introductory Mathematics by Ng Wee Seng ) LECTURE SETS & FUNCTIONS Some commonly encountered sets and their
More informationRESTRICTED WEAK TYPE VERSUS WEAK TYPE
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 133, Number 4, Pages 1075 1081 S 0002-9939(04)07791-3 Article electronically published on November 1, 2004 RESTRICTED WEAK TYPE VERSUS WEAK TYPE
More informationAnalytic families of multilinear operators
Analytic families of multilinear operators Mieczysław Mastyło Adam Mickiewicz University in Poznań Nonlinar Functional Analysis Valencia 17-20 October 2017 Based on a joint work with Loukas Grafakos M.
More informationTopics in Harmonic Analysis Lecture 6: Pseudodifferential calculus and almost orthogonality
Topics in Harmonic Analysis Lecture 6: Pseudodifferential calculus and almost orthogonality Po-Lam Yung The Chinese University of Hong Kong Introduction While multiplier operators are very useful in studying
More information8 Singular Integral Operators and L p -Regularity Theory
8 Singular Integral Operators and L p -Regularity Theory 8. Motivation See hand-written notes! 8.2 Mikhlin Multiplier Theorem Recall that the Fourier transformation F and the inverse Fourier transformation
More informationSOLUTIONS TO SOME PROBLEMS
23 FUNCTIONAL ANALYSIS Spring 23 SOLUTIONS TO SOME PROBLEMS Warning:These solutions may contain errors!! PREPARED BY SULEYMAN ULUSOY PROBLEM 1. Prove that a necessary and sufficient condition that the
More informationChapter One. The Calderón-Zygmund Theory I: Ellipticity
Chapter One The Calderón-Zygmund Theory I: Ellipticity Our story begins with a classical situation: convolution with homogeneous, Calderón- Zygmund ( kernels on R n. Let S n 1 R n denote the unit sphere
More informationReal Analysis: Homework # 12 Fall Professor: Sinan Gunturk Fall Term 2008
Eduardo Corona eal Analysis: Homework # 2 Fall 2008 Professor: Sinan Gunturk Fall Term 2008 #3 (p.298) Let X be the set of rational numbers and A the algebra of nite unions of intervals of the form (a;
More informationTHEOREMS, ETC., FOR MATH 515
THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every
More informationProblem Set. Problem Set #1. Math 5322, Fall March 4, 2002 ANSWERS
Problem Set Problem Set #1 Math 5322, Fall 2001 March 4, 2002 ANSWRS i All of the problems are from Chapter 3 of the text. Problem 1. [Problem 2, page 88] If ν is a signed measure, is ν-null iff ν () 0.
More informationMATH section 3.1 Maximum and Minimum Values Page 1 of 7
MATH section. Maimum and Minimum Values Page of 7 Definition : Let c be a number in the domain D of a function f. Then c ) is the Absolute maimum value of f on D if ) c f() for all in D. Absolute minimum
More informationConformal Mappings. Chapter Schwarz Lemma
Chapter 5 Conformal Mappings In this chapter we study analytic isomorphisms. An analytic isomorphism is also called a conformal map. We say that f is an analytic isomorphism of U with V if f is an analytic
More information4.5 The Open and Inverse Mapping Theorem
4.5 The Open and Inverse Mapping Theorem Theorem 4.5.1. [Open Mapping Theorem] Let f be analytic in an open set U such that f is not constant in any open disc. Then f(u) = {f() : U} is open. Lemma 4.5.1.
More informationConformal 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 informationMichael Lacey and Christoph Thiele. f(ξ)e 2πiξx dξ
Mathematical Research Letters 7, 36 370 (2000) A PROOF OF BOUNDEDNESS OF THE CARLESON OPERATOR Michael Lacey and Christoph Thiele Abstract. We give a simplified proof that the Carleson operator is of weaktype
More informationTheorem [Mean Value Theorem for Harmonic Functions] Let u be harmonic on D(z 0, R). Then for any r (0, R), u(z 0 ) = 1 z z 0 r
2. A harmonic conjugate always exists locally: if u is a harmonic function in an open set U, then for any disk D(z 0, r) U, there is f, which is analytic in D(z 0, r) and satisfies that Re f u. Since such
More informationMATH 6337: Homework 8 Solutions
6.1. MATH 6337: Homework 8 Solutions (a) Let be a measurable subset of 2 such that for almost every x, {y : (x, y) } has -measure zero. Show that has measure zero and that for almost every y, {x : (x,
More informationRudin Real and Complex Analysis - Harmonic Functions
Rudin Real and Complex Analysis - Harmonic Functions Aaron Lou December 2018 1 Notes 1.1 The Cauchy-Riemann Equations 11.1: The Operators and Suppose f is a complex function defined in a plane open set
More informationLimits Involving Infinity (Horizontal and Vertical Asymptotes Revisited)
Limits Involving Infinity (Horizontal and Vertical Asymptotes Revisited) Limits as Approaches Infinity At times you ll need to know the behavior of a function or an epression as the inputs get increasingly
More informationNATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part II
NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part II Chapter 2 Further properties of analytic functions 21 Local/Global behavior of analytic functions;
More informationMATH6081A Homework 8. In addition, when 1 < p 2 the above inequality can be refined using Lorentz spaces: f
MATH68A Homework 8. Prove the Hausdorff-Young inequality, namely f f L L p p for all f L p (R n and all p 2. In addition, when < p 2 the above inequality can be refined using Lorentz spaces: f L p,p f
More informationL p Bounds for the parabolic singular integral operator
RESEARCH L p Bounds for the parabolic singular integral operator Yanping Chen *, Feixing Wang 2 and Wei Yu 3 Open Access * Correspondence: yanpingch@26. com Department of Applied Mathematics, School of
More informationMATH MEASURE THEORY AND FOURIER ANALYSIS. Contents
MATH 3969 - MEASURE THEORY AND FOURIER ANALYSIS ANDREW TULLOCH Contents 1. Measure Theory 2 1.1. Properties of Measures 3 1.2. Constructing σ-algebras and measures 3 1.3. Properties of the Lebesgue measure
More information1.3.1 Definition and Basic Properties of Convolution
1.3 Convolution 15 1.3 Convolution Since L 1 (R) is a Banach space, we know that it has many useful properties. In particular the operations of addition and scalar multiplication are continuous. However,
More informationFOURIER TRANSFORMS OF SURFACE MEASURE ON THE SPHERE MATH 565, FALL 2017
FOURIER TRANSFORMS OF SURFACE MEASURE ON THE SPHERE MATH 565, FALL 17 1. Fourier transform of surface measure on the sphere Recall that the distribution u on R n defined as u, ψ = ψ(x) dσ(x) S n 1 is compactly
More informationSolutions to Complex Analysis Prelims Ben Strasser
Solutions to Complex Analysis Prelims Ben Strasser In preparation for the complex analysis prelim, I typed up solutions to some old exams. This document includes complete solutions to both exams in 23,
More informationMA5206 Homework 4. Group 4. April 26, ϕ 1 = 1, ϕ n (x) = 1 n 2 ϕ 1(n 2 x). = 1 and h n C 0. For any ξ ( 1 n, 2 n 2 ), n 3, h n (t) ξ t dt
MA526 Homework 4 Group 4 April 26, 26 Qn 6.2 Show that H is not bounded as a map: L L. Deduce from this that H is not bounded as a map L L. Let {ϕ n } be an approximation of the identity s.t. ϕ C, sptϕ
More informationAPPM 1360 Final Exam Spring 2016
APPM 36 Final Eam Spring 6. 8 points) State whether each of the following quantities converge or diverge. Eplain your reasoning. a) The sequence a, a, a 3,... where a n ln8n) lnn + ) n!) b) ln d c) arctan
More informationSETS OF UNIQUENESS FOR DIRICHLET TYPE SPACES
SES OF UNIQUENESS FOR DIRICHLE YPE SPACES KARIM KELLAY Abstract. We study the uniqueness sets on the unit circle for weighted Dirichlet spaces.. Introduction Let D be the open unit disk in the complex
More informationMATH 311: COMPLEX ANALYSIS CONTOUR INTEGRALS LECTURE
MATH 3: COMPLEX ANALYSIS CONTOUR INTEGRALS LECTURE Recall the Residue Theorem: Let be a simple closed loop, traversed counterclockwise. Let f be a function that is analytic on and meromorphic inside. Then
More informationBochner s Theorem on the Fourier Transform on R
Bochner s heorem on the Fourier ransform on Yitao Lei October 203 Introduction ypically, the Fourier transformation sends suitable functions on to functions on. his can be defined on the space L ) + L
More informationHARMONIC ANALYSIS. Date:
HARMONIC ANALYSIS Contents. Introduction 2. Hardy-Littlewood maximal function 3. Approximation by convolution 4. Muckenhaupt weights 4.. Calderón-Zygmund decomposition 5. Fourier transform 6. BMO (bounded
More informationQualifying Exam Complex Analysis (Math 530) January 2019
Qualifying Exam Complex Analysis (Math 53) January 219 1. Let D be a domain. A function f : D C is antiholomorphic if for every z D the limit f(z + h) f(z) lim h h exists. Write f(z) = f(x + iy) = u(x,
More informationFOURIER TRANSFORMS. 1. Fourier series 1.1. The trigonometric system. The sequence of functions
FOURIER TRANSFORMS. Fourier series.. The trigonometric system. The sequence of functions, cos x, sin x,..., cos nx, sin nx,... is called the trigonometric system. These functions have period π. The trigonometric
More informationSPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS
SPRING 006 PRELIMINARY EXAMINATION SOLUTIONS 1A. Let G be the subgroup of the free abelian group Z 4 consisting of all integer vectors (x, y, z, w) such that x + 3y + 5z + 7w = 0. (a) Determine a linearly
More informationSolutions to practice problems for the final
Solutions to practice problems for the final Holomorphicity, Cauchy-Riemann equations, and Cauchy-Goursat theorem 1. (a) Show that there is a holomorphic function on Ω = {z z > 2} whose derivative is z
More informationMATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5
MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5.. The Arzela-Ascoli Theorem.. The Riemann mapping theorem Let X be a metric space, and let F be a family of continuous complex-valued functions on X. We have
More informationFourier transform of tempered distributions
Fourier transform of tempered distributions 1 Test functions and distributions As we have seen before, many functions are not classical in the sense that they cannot be evaluated at any point. For eample,
More informationMATH section 3.4 Curve Sketching Page 1 of 29
MATH section. Curve Sketching Page of 9 The step by step procedure below is for regular rational and polynomial functions. If a function contains radical or trigonometric term, then proceed carefully because
More informationMATH 106 HOMEWORK 4 SOLUTIONS. sin(2z) = 2 sin z cos z. (e zi + e zi ) 2. = 2 (ezi e zi )
MATH 16 HOMEWORK 4 SOLUTIONS 1 Show directly from the definition that sin(z) = ezi e zi i sin(z) = sin z cos z = (ezi e zi ) i (e zi + e zi ) = sin z cos z Write the following complex numbers in standard
More informationREAL ANALYSIS I HOMEWORK 4
REAL ANALYSIS I HOMEWORK 4 CİHAN BAHRAN The questions are from Stein and Shakarchi s text, Chapter 2.. Given a collection of sets E, E 2,..., E n, construct another collection E, E 2,..., E N, with N =
More informationTOOLS FROM HARMONIC ANALYSIS
TOOLS FROM HARMONIC ANALYSIS BRADLY STADIE Abstract. The Fourier transform can be thought of as a map that decomposes a function into oscillatory functions. In this paper, we will apply this decomposition
More informationQuintic deficient spline wavelets
Quintic deficient spline wavelets F. Bastin and P. Laubin January 19, 4 Abstract We show explicitely how to construct scaling functions and wavelets which are quintic deficient splines with compact support
More informationSOLUTIONS OF SELECTED PROBLEMS
SOLUTIONS OF SELECTED PROBLEMS Problem 36, p. 63 If µ(e n < and χ En f in L, then f is a.e. equal to a characteristic function of a measurable set. Solution: By Corollary.3, there esists a subsequence
More informationMAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9
MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended
More informationA review: The Laplacian and the d Alembertian. j=1
Chapter One A review: The Laplacian and the d Alembertian 1.1 THE LAPLACIAN One of the main goals of this course is to understand well the solution of wave equation both in Euclidean space and on manifolds
More informationHomework 11. Solutions
Homework 11. Solutions Problem 2.3.2. Let f n : R R be 1/n times the characteristic function of the interval (0, n). Show that f n 0 uniformly and f n µ L = 1. Why isn t it a counterexample to the Lebesgue
More information5.3 The Upper Half Plane
Remark. Combining Schwarz Lemma with the map g α, we can obtain some inequalities of analytic maps f : D D. For example, if z D and w = f(z) D, then the composition h := g w f g z satisfies the condition
More informationTopics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem
Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem 1 Fourier Analysis, a review We ll begin with a short review of simple facts about Fourier analysis, before going on to interpret
More informationREPRESENTATION THEORY WEEK 7
REPRESENTATION THEORY WEEK 7 1. Characters of L k and S n A character of an irreducible representation of L k is a polynomial function constant on every conjugacy class. Since the set of diagonalizable
More informationReal Analysis Notes. Thomas Goller
Real Analysis Notes Thomas Goller September 4, 2011 Contents 1 Abstract Measure Spaces 2 1.1 Basic Definitions........................... 2 1.2 Measurable Functions........................ 2 1.3 Integration..............................
More informationFourier Transform & Sobolev Spaces
Fourier Transform & Sobolev Spaces Michael Reiter, Arthur Schuster Summer Term 2008 Abstract We introduce the concept of weak derivative that allows us to define new interesting Hilbert spaces the Sobolev
More informationOutline of Fourier Series: Math 201B
Outline of Fourier Series: Math 201B February 24, 2011 1 Functions and convolutions 1.1 Periodic functions Periodic functions. Let = R/(2πZ) denote the circle, or onedimensional torus. A function f : C
More informationMTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1.
MTH4101 CALCULUS II REVISION NOTES 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) 1.1 Introduction Types of numbers (natural, integers, rationals, reals) The need to solve quadratic equations:
More informationMathematics Extension 2
0 HIGHER SCHOOL CERTIFICATE EXAMINATION Mathematics Etension General Instructions Reading time 5 minutes Working time hours Write using black or blue pen Black pen is preferred Board-approved calculators
More informationMath 1B Final Exam, Solution. Prof. Mina Aganagic Lecture 2, Spring (6 points) Use substitution and integration by parts to find:
Math B Final Eam, Solution Prof. Mina Aganagic Lecture 2, Spring 20 The eam is closed book, apart from a sheet of notes 8. Calculators are not allowed. It is your responsibility to write your answers clearly..
More information