Lattices and Periodic Functions
|
|
- Scott Walton
- 5 years ago
- Views:
Transcription
1 Lattices and Periodic Functions Definition L.1 Let f(x) be a function on IR d. a) The vector γ IR d is said to be a period for f if f(x+γ) = f(x) for all x IR d b) Set P f = { γ IR d γ is a period for f } Ifγ,γ P f thenγ+γ P f andifγ P f then γ P f (subx = z γ intof(x+γ) = f(x)). Furthermore, the zero vector 0 IR d is always in P f. Thus P f is a (commutative) group under addition and γ 1,, γ p P f n 1 γ 1 + +n p γ p P f for all p IN and n 1,,n p Z Example L.2 a) If f(x,y) = sin ( 2πx l 1 ) cos ( 2πy l 2 ), then Pf = { (ml 1,nl 2 ) m,n Z }. b) If f(x,y) = sin ( 2πx l 1 ), then Pf = { (ml 1,y) m Z, y IR }. c) If f(x,y) = sin ( 2πx l 1 ) sinhy, then Pf = { (ml 1,0) m Z }. To exclude functions, as in Example L.2.b, that are constant in some direction, it suffices to require that 0 be an isolated point of P f. That is, to require that there be a number r > 0 such that every nonzero γ P f obeys γ r. Proposition L.3 If P is an additive subgroup of IR d and 0 is an isolated point of P, then there are d d and independent vectors γ 1,,γ d IR d such that P = { n 1 γ 1 + +n d γ d n 1,,n d Z } c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 1
2 Proof: Claim 1. P has a shortest nonzero element. Proof of Claim 1: Define r = inf { γ } γ P, γ 0. If there were no shortest element, there would be a sequence of vectors β 1,β 2 in P with lim i β i = r and r < β i 2r for every i = 1,2,. Because the closed ball of radius 2r is compact, the sequence has a limit point and hence has a Cauchy subsequence. In particular, there are β i and β in the sequence, with β i β with β i β < r 2. But this is impossible, because β i β would be a nonzero element of P with length smaller than r. Claim 2. Let γ 1 be a shortest nonzero element of P and set P 1 = { γ P } γ γ1. Then P 1 = { nγ } 1 n Z. Proof of Claim 2: If xγ 1 P with x not an integer, then (x [x])γ 1 (where [ ] denotes integer part) is a nonzero element of P with length strictly smaller than the length of γ 1. If P = P 1, we have finished. Otherwise continue with Claim 3. Denote by IP 1 orthogonal proection in IR d onto the line { } xγ 1 x IR and by IP 1 = 1l IP 1 orthogonal proection perpendicular to the line { } xγ 1 x IR. Then P \P 1 has an element whose distance from the line { } xγ 1 x IR is a minimum, i.e. that minimizes IP 1 γ. Proof of Claim 3: Define r 1 = inf { IP 1 γ γ P \P 1 }. If there were no minimizing element, there would be a sequence of vectors β 1,β 2 in P with 2r 1 IP 1 β 1 > IP 1 β 2 > IP 1 β 3 > > r 1 Because IP 1 β i = IP 1 (β i +nγ 1 ) for all n, we may assume, without loss of generality, that IP 1 β i γ 1 for every i. Because { x IR d IP 1 x 2r 1, IP 1 x γ 1 } is compact, the sequence has a limit point and hence has a Cauchy subsequence. In particular, there are β i and β in the sequence, with β i β with β i β < r. But this is impossible, 2 because β i β would be a nonzero element of P with length smaller than r. Claim 4. Let γ 2 be an element of P \P 1 that minimizes IP 1 γ and set P 2 = P { x 1 γ 1 +x 2 γ 2 x1,x 2 IR } Then P 2 = { n 1 γ 1 +n 2 γ 2 n1,n 2 Z }. c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 2
3 Proof of Claim 4: If x 1 γ 1 +x 2 γ 2 P withx 2 not an integer, then γ = x 1 γ 1 +(x 2 [x 2 ])γ 2 is an element of of P \ P 1 with IP 1 γ = x 2 [x 2 ] IP 1 γ 2 < IP 1 γ 2. So x 2 must be an integer. But then (x 1 γ 1 +x 2 γ 2 ) x 2 γ 2 = x 1 γ 1 P and, by Claim 2, x 1 must be an integer as well. If P = P 2, we have finished. Otherwise continue with.... To exclude functions, as in Example L.2.c, that are mixed periodic/non periodic, we shall assume that d = d. Let γ 1,, γ d IR d be d linearly independent vectors and set Γ = { n 1 γ 1 + +n d γ d n1,,n d Z } Γ is called the lattice generated by γ 1,, γ d. Problem L.1 The set of generators for a lattice are not uniquely determined. Let Γ be generated by d linearly independent vectors γ 1,, γ d IR d. Let Γ be generated by d linearly independent vectors γ 1,, γ d IRd. Prove that Γ = Γ if and only there is a d d matrix A with integer matrix elements and deta = 1 such that γ i = d A i,γ. Problem L.2 Let γ 1,, γ d IR d be d linearly independent vectors. Prove that there are two constants C and c, depending only on γ 1,, γ d such that c x x1 γ x d γ d C x for all x IR d. We ll now find a bunch of functions that are periodic with respect to Γ. Consider f(x) = e ib x. This function has period γ if and only if e ib (x+γ) = e ib x for all x IR d. This is the case if and only if e ib γ = 1 and this is the case if and only if b γ 2π Z. Definition L.4 Let Γ be a lattice in IR d. The dual lattice for Γ is Γ # = { b IR d b γ 2π Z for all γ Γ } Remark L.5 Let γ 1,, γ d IR d be linearly independent and denote by Γ the lattice that they generate. A vector b IR d is an element of Γ # if and only if b γ 2π Z for all 1 d c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 3
4 Example L.6 Let e 1,,e d be the standard basis of IR d. That is, e has all components zero, except for the th, which is one. Choosing l 1,,l d > 0 and γ = l e, Γ = { (n 1 l 1,,n d l d ) n1,,n d Z } Then (x 1,,x d ) is in Γ # if and only if Thus (x 1,,x d ) γ = l x 2π Z x 2π l Z Γ # = { ( n 1 2π l 1,,n d 2π l d ) n1,,n d Z } Example L.7 Let Γ = { n(1,0)+m(π,1) n,m Z } Then Γ # = { n(0,2π)+m(2π, 2π 2 ) } n,m Z Since [ n (1,0)+m (π,1) ] [n(0,2π)+m(2π, 2π 2 ) ] = 2π ( n m+m n ) every vector of the form n(0,2π)+m(2π, 2π 2 ) with m,n Z is indeed in Γ #. To verify that only vectors of this form are in Γ #, let z = x(0,2π)+y(2π, 2π 2 ) be any vector in IR 2. (Certainly, (0,2π) and (2π, 2π 2 ) form a basis for IR 2.) For z to be in Γ # it is necessary that z (1,0) = 2πy 2π Z z (π,1) = 2πx 2π Z which forces x,y Z. Problem L.3 Let Γ be generated by γ 1,, γ d IR d (assumed linearly independent) and let = { d t γ 0 t 1 for all 1 d } be the parallelepiped with the γ s as edges. Prove that if b Γ #, then { d d x e ib x [γ = 1, γ d ] if b = 0 0 if b 0 where [γ1, γ d ] is the volume of [γ1, γ d ]. By Problem L.1, the volume [γ1, γ d ] is independent of the choice of generators. That is, if Γ is also generated by γ 1,, γ d IRd, then [γ1, γ d ] = [γ 1, γ d ]. Consequently, it is legitimate to define = [γ1, γ d ]. Hence { 1 d d x e ib x 1 if b = 0 = 0 if b 0 c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 4
5 Proposition L.8 If γ 1,, γ d IR d are linearly independent and Γ = { n 1 γ 1 + +n d γ d n1,,n d Z } then there exist d linearly independent vectors b 1,, b d IR d such that Γ # = { n 1 b 1 + +n d b d n1,,n d Z } Proof: For each 1 i d V i = { x 1 γ 1 + +x d γ d x1,,x d IR, x i = 0 } is a d 1 dimensional subspace of IR d. So V 1 is a one dimensional subspace of IR d. Let B i be any nonzero element of V i and define b i = 2π γ i B i B i Note that γ i B i cannot vanish because then γ i would have to be in V i, i.e. would have to be a linear combination of γ, i. Denote B = { n 1 b 1 + +n d b d n1,,n d Z } As b i γ = { 2π if i = 0 if i we have that b i Γ # and hence B Γ #. If x 1 b x d b d = 0 then (x 1 b x d b d ) γ = 2πx = 0 for every 1 d. So the b i s are linearly independent and every vector in IR d may be written in the form x 1 b 1 + +x d b d. If x 1 b 1 + +x d b d Γ #, then (x 1 b 1 + +x d b d ) γ = 2πx 2π Z so that x Z for every 1 d. Hence γ # B. From now on, we fix d linearly independent vectors γ 1,, γ d IR d, set Γ = { n 1 γ 1 + +n d γ d n1,,n d Z } The set of all C functions on IR d that are periodic with respect to Γ is denoted C ( IR d /Γ ). We have already observed that f(x) = e ib x is in C ( IR d /Γ ) if and only in b Γ #. c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 5
6 Remark L.9 Here is the story (at least in short form) behind the notation C ( IR d /Γ ). We have already observed that IR d is a group (under addition) and that Γ is a subgroup of of IR d. As IR d is abelian, all subgroups are normal and the set of equivalence classes under the equivalence relation x y x y Γ is itself a group, denoted, as usual IR d /Γ. Precisely, the equivalence class of x IR d is [x] = { y IR d } x y IR d and IR d /Γ = { [x] x IR d }. The group operation in IR d /Γ is [x]+[y] = [x+y] As well as being a group, IR d /Γ can also be turned into a smooth manifold, called a d dimensional torus. If O is any open subset of IR d with the property that no two points of O are equivalent under, then the map ξ O : O IR d /Γ x [x] is one to one. Its inverse is a coordinate map for IR d /Γ. If Γ is generated by γ 1,,γ d and X is any point in IR d, { X +t 1 γ 1 + +t d γ d 0 < t < 1 for all 1 d } is one possible choice of O. The notation C ( IR d /Γ ) designates the set of smooth (that is, C ) functions on the manifold IR d /Γ. Theorem L.10 (Fourier Series) A function f : IR d C is in C ( IR d /Γ ) if and only if Furthermore, in this case, f(x) = 1 ˆfb e ib x with b 2n ˆf b = ˆfb < d d x e ib x f(x) for all n IN Proof of if : Suppose that we are given ˆf b, b Γ # obeying b Γ b 2n ˆfb < # for all n IN. In particular b Γ ˆfb < so the series 1 ˆf # b e ib x converges absolutely and uniformly to some continuous function that is periodic with respect to Γ. Call the function f(x). Furthermore for any i 1, i d IN ( d x e ib x = b e ib x b Σ ˆfb c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 6
7 so the series 1 x that f(x) is C. Furthermore d d x e ib x f(x) = by Problem L.3. e ib x also converges absolutely and uniformly. This implies = 1 = 1 = ˆf b d d x e ib x [ c Γ # 1 ] ˆfc e ic x c Γ # d d x e i(c b) x ˆfc d d x ˆf b + 1 c Γ # c b d d x e i(c b) x ˆfc Proof of only if : Now suppose that we are given f C ( IR d /Γ ). Define Then for any i 1, i d IN ( d so that, by Problem L.2, ( d ˆf b = b = b = = = d d x e ib x f(x) d d x d d x sup x b )e ib x f(x) e )f(x) ib x x d d x e ib x ( 1+ b d+1 d 1+ b d+1 x b [ sup (1+ b d+1 ( ) d [ sup (1+ b d+1 ( ) d x f(x)) < f(x)) b ] b ] n Z d 1 1+ b d (c n ) d+1 < c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 7
8 Hence, by the only if part of this Theorem, that we have already proven, g(x) = 1 ˆfb e ib x is a C function and ˆf b = d d x e ib x g(x) We ust have to show that g(x) = f(x). Here is one proof that g(x) = f(x). By (L.1) d d x e ib x [g(x) f(x)] = 0 (L.1) for all b Γ #. Consequently, d d x ϕ(x)[g(x) f(x)] = 0 for any function ϕ P(Γ # ) where P(Γ # ) is the set of all functions that are finite linear combinations of the e ib x s with b Γ #. Consequently, d d x ϕ(x)[g(x) f(x)] = 0 for any function ϕ P(Γ # ) where P(Γ # ) is the set of all functions that are uniform limits of sequences of functions in P(Γ # ). But by the Stone Weierstrass Theorem [Walter Rudin, Principles of Mathematical Analysis, Theorem 7.33], P(Γ # ) is the set of all continuous functions that are periodic with respect to Γ. In particular, the complex conugate of g(x) f(x) is in P(Γ # ). Hence d d x g(x) f(x) 2 = 0 so that g(x) = f(x) for all x. One may also build Problem L.5, below, into a second proof that g(x) = f(x). Just make a change of variables so that Γ is replaced by 2π Z d and apply Problem L.5.b, once in each dimension. Problem L.4 Let Γ be generated by γ 1,, γ d IR d (assumed linearly independent) and also by γ 1,, γ d IRd (also assumed linearly independent). Recall that = { d t γ 0 t 1 for all 1 d } c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 8
9 is the parallelepiped with the γ s as edges. Let, for y IR d, y+ = { y+ d t γ 0 t 1 for all 1 d } be the translate of by y. Let f(x) be periodic with respect to Γ. Prove that d d x f(x) = y+ d d x f(x) = d d x f(x) [γ 1, γ d ] We denote d d x f(x) = IR d /Γ d d x f(x) Problem L.5 Let f C 1 (IR) be periodic of period 2π. Set c n = 2π 0 e inx f(x) dx and (S M f)(θ) = 1 2π M n= M c n e inθ a) Prove that S M f(θ) = 1 2π 2π f(θ+x) sin(m+1/2)x 0 sin(x/2) dx. b) Prove that S M f(θ) converges to f(θ) as M. c Joel Feldman All rights reserved. November 21, 2009 Lattices and Periodic Functions 9
The Contraction Mapping Theorem and the Implicit and Inverse Function Theorems
The Contraction Mapping Theorem and the Implicit and Inverse Function Theorems The Contraction Mapping Theorem Theorem The Contraction Mapping Theorem) Let B a = { x IR d x < a } denote the open ball of
More informationThe Contraction Mapping Theorem and the Implicit Function Theorem
The Contraction Mapping Theorem and the Implicit Function Theorem Theorem The Contraction Mapping Theorem Let B a = { x IR d x < a } denote the open ball of radius a centred on the origin in IR d. If the
More informationFinite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product
Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )
More informationLattices Part II Dual Lattices, Fourier Transform, Smoothing Parameter, Public Key Encryption
Lattices Part II Dual Lattices, Fourier Transform, Smoothing Parameter, Public Key Encryption Boaz Barak May 12, 2008 The first two sections are based on Oded Regev s lecture notes, and the third one on
More informationDavid Hilbert was old and partly deaf in the nineteen thirties. Yet being a diligent
Chapter 5 ddddd dddddd dddddddd ddddddd dddddddd ddddddd Hilbert Space The Euclidean norm is special among all norms defined in R n for being induced by the Euclidean inner product (the dot product). A
More informationProblem 1A. Use residues to compute. dx x
Problem 1A. A non-empty metric space X is said to be connected if it is not the union of two non-empty disjoint open subsets, and is said to be path-connected if for every two points a, b there is a continuous
More informationExercises from other sources REAL NUMBERS 2,...,
Exercises from other sources REAL NUMBERS 1. Find the supremum and infimum of the following sets: a) {1, b) c) 12, 13, 14, }, { 1 3, 4 9, 13 27, 40 } 81,, { 2, 2 + 2, 2 + 2 + } 2,..., d) {n N : n 2 < 10},
More informationSummer Jump-Start Program for Analysis, 2012 Song-Ying Li
Summer Jump-Start Program for Analysis, 01 Song-Ying Li 1 Lecture 6: Uniformly continuity and sequence of functions 1.1 Uniform Continuity Definition 1.1 Let (X, d 1 ) and (Y, d ) are metric spaces and
More informationAnalysis Finite and Infinite Sets The Real Numbers The Cantor Set
Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered
More informationTHE PROBLEMS FOR THE SECOND TEST FOR BRIEF SOLUTIONS
THE PROBLEMS FOR THE SECOND TEST FOR 18.102 BRIEF SOLUTIONS RICHARD MELROSE Question.1 Show that a subset of a separable Hilbert space is compact if and only if it is closed and bounded and has the property
More informationMath 117: Continuity of Functions
Math 117: Continuity of Functions John Douglas Moore November 21, 2008 We finally get to the topic of ɛ δ proofs, which in some sense is the goal of the course. It may appear somewhat laborious to use
More informationCompact operators on Banach spaces
Compact operators on Banach spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto November 12, 2017 1 Introduction In this note I prove several things about compact
More informationFUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets
FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES CHRISTOPHER HEIL 1. Compact Sets Definition 1.1 (Compact and Totally Bounded Sets). Let X be a metric space, and let E X be
More informationAdvanced Calculus Math 127B, Winter 2005 Solutions: Final. nx2 1 + n 2 x, g n(x) = n2 x
. Define f n, g n : [, ] R by f n (x) = Advanced Calculus Math 27B, Winter 25 Solutions: Final nx2 + n 2 x, g n(x) = n2 x 2 + n 2 x. 2 Show that the sequences (f n ), (g n ) converge pointwise on [, ],
More informationTRANSLATION-INVARIANT FUNCTION ALGEBRAS ON COMPACT GROUPS
PACIFIC JOURNAL OF MATHEMATICS Vol. 15, No. 3, 1965 TRANSLATION-INVARIANT FUNCTION ALGEBRAS ON COMPACT GROUPS JOSEPH A. WOLF Let X be a compact group. $(X) denotes the Banach algebra (point multiplication,
More informationOverview of normed linear spaces
20 Chapter 2 Overview of normed linear spaces Starting from this chapter, we begin examining linear spaces with at least one extra structure (topology or geometry). We assume linearity; this is a natural
More informationVectors in Function Spaces
Jim Lambers MAT 66 Spring Semester 15-16 Lecture 18 Notes These notes correspond to Section 6.3 in the text. Vectors in Function Spaces We begin with some necessary terminology. A vector space V, also
More informationMost Continuous Functions are Nowhere Differentiable
Most Continuous Functions are Nowhere Differentiable Spring 2004 The Space of Continuous Functions Let K = [0, 1] and let C(K) be the set of all continuous functions f : K R. Definition 1 For f C(K) we
More informationMath 209B Homework 2
Math 29B Homework 2 Edward Burkard Note: All vector spaces are over the field F = R or C 4.6. Two Compactness Theorems. 4. Point Set Topology Exercise 6 The product of countably many sequentally compact
More informationLinear Analysis Lecture 5
Linear Analysis Lecture 5 Inner Products and V Let dim V < with inner product,. Choose a basis B and let v, w V have coordinates in F n given by x 1. x n and y 1. y n, respectively. Let A F n n be the
More informationMath Advanced Calculus II
Math 452 - Advanced Calculus II Manifolds and Lagrange Multipliers In this section, we will investigate the structure of critical points of differentiable functions. In practice, one often is trying to
More information2 Infinite products and existence of compactly supported φ
415 Wavelets 1 Infinite products and existence of compactly supported φ Infinite products.1 Infinite products a n need to be defined via limits. But we do not simply say that a n = lim a n N whenever the
More informationANALYSIS QUALIFYING EXAM FALL 2016: SOLUTIONS. = lim. F n
ANALYSIS QUALIFYING EXAM FALL 206: SOLUTIONS Problem. Let m be Lebesgue measure on R. For a subset E R and r (0, ), define E r = { x R: dist(x, E) < r}. Let E R be compact. Prove that m(e) = lim m(e /n).
More informationbe the set of complex valued 2π-periodic functions f on R such that
. Fourier series. Definition.. Given a real number P, we say a complex valued function f on R is P -periodic if f(x + P ) f(x) for all x R. We let be the set of complex valued -periodic functions f on
More informationTHE STONE-WEIERSTRASS THEOREM AND ITS APPLICATIONS TO L 2 SPACES
THE STONE-WEIERSTRASS THEOREM AND ITS APPLICATIONS TO L 2 SPACES PHILIP GADDY Abstract. Throughout the course of this paper, we will first prove the Stone- Weierstrass Theroem, after providing some initial
More informationLecture Notes on Metric Spaces
Lecture Notes on Metric Spaces Math 117: Summer 2007 John Douglas Moore Our goal of these notes is to explain a few facts regarding metric spaces not included in the first few chapters of the text [1],
More informationMATH NEW HOMEWORK AND SOLUTIONS TO PREVIOUS HOMEWORKS AND EXAMS
MATH. 4433. NEW HOMEWORK AND SOLUTIONS TO PREVIOUS HOMEWORKS AND EXAMS TOMASZ PRZEBINDA. Final project, due 0:00 am, /0/208 via e-mail.. State the Fundamental Theorem of Algebra. Recall that a subset K
More informationContinuous functions that are nowhere differentiable
Continuous functions that are nowhere differentiable S. Kesavan The Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai - 600113. e-mail: kesh @imsc.res.in Abstract It is shown that the existence
More informationREAL AND COMPLEX ANALYSIS
REAL AND COMPLE ANALYSIS Third Edition Walter Rudin Professor of Mathematics University of Wisconsin, Madison Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any
More informationMath 5BI: Problem Set 6 Gradient dynamical systems
Math 5BI: Problem Set 6 Gradient dynamical systems April 25, 2007 Recall that if f(x) = f(x 1, x 2,..., x n ) is a smooth function of n variables, the gradient of f is the vector field f(x) = ( f)(x 1,
More informationErrata Applied Analysis
Errata Applied Analysis p. 9: line 2 from the bottom: 2 instead of 2. p. 10: Last sentence should read: The lim sup of a sequence whose terms are bounded from above is finite or, and the lim inf of a sequence
More informationSeries Solution of Linear Ordinary Differential Equations
Series Solution of Linear Ordinary Differential Equations Department of Mathematics IIT Guwahati Aim: To study methods for determining series expansions for solutions to linear ODE with variable coefficients.
More information4 Uniform convergence
4 Uniform convergence In the last few sections we have seen several functions which have been defined via series or integrals. We now want to develop tools that will allow us to show that these functions
More informationChapter 7: Bounded Operators in Hilbert Spaces
Chapter 7: Bounded Operators in Hilbert Spaces I-Liang Chern Department of Applied Mathematics National Chiao Tung University and Department of Mathematics National Taiwan University Fall, 2013 1 / 84
More informationMath 61CM - Solutions to homework 6
Math 61CM - Solutions to homework 6 Cédric De Groote November 5 th, 2018 Problem 1: (i) Give an example of a metric space X such that not all Cauchy sequences in X are convergent. (ii) Let X be a metric
More information2.3. VECTOR SPACES 25
2.3. VECTOR SPACES 25 2.3 Vector Spaces MATH 294 FALL 982 PRELIM # 3a 2.3. Let C[, ] denote the space of continuous functions defined on the interval [,] (i.e. f(x) is a member of C[, ] if f(x) is continuous
More informationDefinition A.1. We say a set of functions A C(X) separates points if for every x, y X, there is a function f A so f(x) f(y).
The Stone-Weierstrass theorem Throughout this section, X denotes a compact Hausdorff space, for example a compact metric space. In what follows, we take C(X) to denote the algebra of real-valued continuous
More information1. If 1, ω, ω 2, -----, ω 9 are the 10 th roots of unity, then (1 + ω) (1 + ω 2 ) (1 + ω 9 ) is A) 1 B) 1 C) 10 D) 0
4 INUTES. If, ω, ω, -----, ω 9 are the th roots of unity, then ( + ω) ( + ω ) ----- ( + ω 9 ) is B) D) 5. i If - i = a + ib, then a =, b = B) a =, b = a =, b = D) a =, b= 3. Find the integral values for
More informationAssignment-10. (Due 11/21) Solution: Any continuous function on a compact set is uniformly continuous.
Assignment-1 (Due 11/21) 1. Consider the sequence of functions f n (x) = x n on [, 1]. (a) Show that each function f n is uniformly continuous on [, 1]. Solution: Any continuous function on a compact set
More informationLinear Independence of Finite Gabor Systems
Linear Independence of Finite Gabor Systems 1 Linear Independence of Finite Gabor Systems School of Mathematics Korea Institute for Advanced Study Linear Independence of Finite Gabor Systems 2 Short trip
More informationFirst Order Initial Value Problems
First Order Initial Value Problems A first order initial value problem is the problem of finding a function xt) which satisfies the conditions x = x,t) x ) = ξ 1) where the initial time,, is a given real
More informationOn the distributional divergence of vector fields vanishing at infinity
Proceedings of the Royal Society of Edinburgh, 141A, 65 76, 2011 On the distributional divergence of vector fields vanishing at infinity Thierry De Pauw Institut de Recherches en Mathématiques et Physique,
More informationMath 147, Homework 5 Solutions Due: May 15, 2012
Math 147, Homework 5 Solutions Due: May 15, 2012 1 Let f : R 3 R 6 and φ : R 3 R 3 be the smooth maps defined by: f(x, y, z) = (x 2, y 2, z 2, xy, xz, yz) and φ(x, y, z) = ( x, y, z) (a) Show that f is
More informationMathematics 530. Practice Problems. n + 1 }
Department of Mathematical Sciences University of Delaware Prof. T. Angell October 19, 2015 Mathematics 530 Practice Problems 1. Recall that an indifference relation on a partially ordered set is defined
More information(3) Let Y be a totally bounded subset of a metric space X. Then the closure Y of Y
() Consider A = { q Q : q 2 2} as a subset of the metric space (Q, d), where d(x, y) = x y. Then A is A) closed but not open in Q B) open but not closed in Q C) neither open nor closed in Q D) both open
More informationRecall that any inner product space V has an associated norm defined by
Hilbert Spaces Recall that any inner product space V has an associated norm defined by v = v v. Thus an inner product space can be viewed as a special kind of normed vector space. In particular every inner
More informationMASTERS EXAMINATION IN MATHEMATICS SOLUTIONS
MASTERS EXAMINATION IN MATHEMATICS PURE MATHEMATICS OPTION SPRING 010 SOLUTIONS Algebra A1. Let F be a finite field. Prove that F [x] contains infinitely many prime ideals. Solution: The ring F [x] of
More informationMeasure and Integration: Solutions of CW2
Measure and Integration: s of CW2 Fall 206 [G. Holzegel] December 9, 206 Problem of Sheet 5 a) Left (f n ) and (g n ) be sequences of integrable functions with f n (x) f (x) and g n (x) g (x) for almost
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 informationMcGill University Math 354: Honors Analysis 3
Practice problems McGill University Math 354: Honors Analysis 3 not for credit Problem 1. Determine whether the family of F = {f n } functions f n (x) = x n is uniformly equicontinuous. 1st Solution: The
More informationFunctional Analysis Exercise Class
Functional Analysis Exercise Class Week: December 4 8 Deadline to hand in the homework: your exercise class on week January 5. Exercises with solutions ) Let H, K be Hilbert spaces, and A : H K be a linear
More informationChanging coordinates to adapt to a map of constant rank
Introduction to Submanifolds Most manifolds of interest appear as submanifolds of others e.g. of R n. For instance S 2 is a submanifold of R 3. It can be obtained in two ways: 1 as the image of a map into
More information(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define
Homework, Real Analysis I, Fall, 2010. (1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define ρ(f, g) = 1 0 f(x) g(x) dx. Show that
More informationFunctional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...
Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................
More informationProblem Set 5: Solutions Math 201A: Fall 2016
Problem Set 5: s Math 21A: Fall 216 Problem 1. Define f : [1, ) [1, ) by f(x) = x + 1/x. Show that f(x) f(y) < x y for all x, y [1, ) with x y, but f has no fixed point. Why doesn t this example contradict
More information1 Math 241A-B Homework Problem List for F2015 and W2016
1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let
More informationPremiliminary Examination, Part I & II
Premiliminary Examination, Part I & II Monday, August 9, 16 Dept. of Mathematics University of Pennsylvania Problem 1. Let V be the real vector space of continuous real-valued functions on the closed interval
More informationLinear Algebra Massoud Malek
CSUEB Linear Algebra Massoud Malek Inner Product and Normed Space In all that follows, the n n identity matrix is denoted by I n, the n n zero matrix by Z n, and the zero vector by θ n An inner product
More informationBernstein s inequality and Nikolsky s inequality for R d
Bernstein s inequality and Nikolsky s inequality for d Jordan Bell jordan.bell@gmail.com Department of athematics University of Toronto February 6 25 Complex Borel measures and the Fourier transform Let
More informationHilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space.
Hilbert Spaces Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Vector Space. Vector space, ν, over the field of complex numbers,
More informationContinuity. Matt Rosenzweig
Continuity Matt Rosenzweig Contents 1 Continuity 1 1.1 Rudin Chapter 4 Exercises........................................ 1 1.1.1 Exercise 1............................................. 1 1.1.2 Exercise
More informationReview of Multi-Calculus (Study Guide for Spivak s CHAPTER ONE TO THREE)
Review of Multi-Calculus (Study Guide for Spivak s CHPTER ONE TO THREE) This material is for June 9 to 16 (Monday to Monday) Chapter I: Functions on R n Dot product and norm for vectors in R n : Let X
More informationMidterm 1. Every element of the set of functions is continuous
Econ 200 Mathematics for Economists Midterm Question.- Consider the set of functions F C(0, ) dened by { } F = f C(0, ) f(x) = ax b, a A R and b B R That is, F is a subset of the set of continuous functions
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 informationProblem Set 6: Solutions Math 201A: Fall a n x n,
Problem Set 6: Solutions Math 201A: Fall 2016 Problem 1. Is (x n ) n=0 a Schauder basis of C([0, 1])? No. If f(x) = a n x n, n=0 where the series converges uniformly on [0, 1], then f has a power series
More informationMath 321 Final Examination April 1995 Notation used in this exam: N. (1) S N (f,x) = f(t)e int dt e inx.
Math 321 Final Examination April 1995 Notation used in this exam: N 1 π (1) S N (f,x) = f(t)e int dt e inx. 2π n= N π (2) C(X, R) is the space of bounded real-valued functions on the metric space X, equipped
More informationSuppose R is an ordered ring with positive elements P.
1. The real numbers. 1.1. Ordered rings. Definition 1.1. By an ordered commutative ring with unity we mean an ordered sextuple (R, +, 0,, 1, P ) such that (R, +, 0,, 1) is a commutative ring with unity
More informationLinear Algebra. Paul Yiu. Department of Mathematics Florida Atlantic University. Fall A: Inner products
Linear Algebra Paul Yiu Department of Mathematics Florida Atlantic University Fall 2011 6A: Inner products In this chapter, the field F = R or C. We regard F equipped with a conjugation χ : F F. If F =
More informationPrinciples of Real Analysis I Fall VII. Sequences of Functions
21-355 Principles of Real Analysis I Fall 2004 VII. Sequences of Functions In Section II, we studied sequences of real numbers. It is very useful to consider extensions of this concept. More generally,
More informationconverges as well if x < 1. 1 x n x n 1 1 = 2 a nx n
Solve the following 6 problems. 1. Prove that if series n=1 a nx n converges for all x such that x < 1, then the series n=1 a n xn 1 x converges as well if x < 1. n For x < 1, x n 0 as n, so there exists
More informationContinuity. Chapter 4
Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of
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 informationA Brief Introduction to Functional Analysis
A Brief Introduction to Functional Analysis Sungwook Lee Department of Mathematics University of Southern Mississippi sunglee@usm.edu July 5, 2007 Definition 1. An algebra A is a vector space over C with
More informationAdvanced Computational Fluid Dynamics AA215A Lecture 2 Approximation Theory. Antony Jameson
Advanced Computational Fluid Dynamics AA5A Lecture Approximation Theory Antony Jameson Winter Quarter, 6, Stanford, CA Last revised on January 7, 6 Contents Approximation Theory. Least Squares Approximation
More informationWeek 5 Lectures 13-15
Week 5 Lectures 13-15 Lecture 13 Definition 29 Let Y be a subset X. A subset A Y is open in Y if there exists an open set U in X such that A = U Y. It is not difficult to show that the collection of all
More information1. Subspaces A subset M of Hilbert space H is a subspace of it is closed under the operation of forming linear combinations;i.e.,
Abstract Hilbert Space Results We have learned a little about the Hilbert spaces L U and and we have at least defined H 1 U and the scale of Hilbert spaces H p U. Now we are going to develop additional
More informationAnother Riesz Representation Theorem
Another Riesz Representation Theorem In these notes we prove (one version of) a theorem known as the Riesz Representation Theorem. Some people also call it the Riesz Markov Theorem. It expresses positive
More informationImmerse Metric Space Homework
Immerse Metric Space Homework (Exercises -2). In R n, define d(x, y) = x y +... + x n y n. Show that d is a metric that induces the usual topology. Sketch the basis elements when n = 2. Solution: Steps
More informationMath 117: Topology of the Real Numbers
Math 117: Topology of the Real Numbers John Douglas Moore November 10, 2008 The goal of these notes is to highlight the most important topics presented in Chapter 3 of the text [1] and to provide a few
More informationVector Calculus. Lecture Notes
Vector Calculus Lecture Notes Adolfo J. Rumbos c Draft date November 23, 211 2 Contents 1 Motivation for the course 5 2 Euclidean Space 7 2.1 Definition of n Dimensional Euclidean Space........... 7 2.2
More informationReal Analysis Prelim Questions Day 1 August 27, 2013
Real Analysis Prelim Questions Day 1 August 27, 2013 are 5 questions. TIME LIMIT: 3 hours Instructions: Measure and measurable refer to Lebesgue measure µ n on R n, and M(R n ) is the collection of measurable
More informationExistence and Uniqueness
Chapter 3 Existence and Uniqueness An intellect which at a certain moment would know all forces that set nature in motion, and all positions of all items of which nature is composed, if this intellect
More informationQUALIFYING EXAMINATION Harvard University Department of Mathematics Tuesday September 21, 2004 (Day 1)
QUALIFYING EXAMINATION Harvard University Department of Mathematics Tuesday September 21, 2004 (Day 1) Each of the six questions is worth 10 points. 1) Let H be a (real or complex) Hilbert space. We say
More informationl(y j ) = 0 for all y j (1)
Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that
More informationNotes on Distributions
Notes on Distributions Functional Analysis 1 Locally Convex Spaces Definition 1. A vector space (over R or C) is said to be a topological vector space (TVS) if it is a Hausdorff topological space and the
More informationMath 118B Solutions. Charles Martin. March 6, d i (x i, y i ) + d i (y i, z i ) = d(x, y) + d(y, z). i=1
Math 8B Solutions Charles Martin March 6, Homework Problems. Let (X i, d i ), i n, be finitely many metric spaces. Construct a metric on the product space X = X X n. Proof. Denote points in X as x = (x,
More informationMATH 104 : Final Exam
MATH 104 : Final Exam 10 May, 2017 Name: You have 3 hours to answer the questions. You are allowed one page (front and back) worth of notes. The page should not be larger than a standard US letter size.
More informationExercise Solutions to Functional Analysis
Exercise Solutions to Functional Analysis Note: References refer to M. Schechter, Principles of Functional Analysis Exersize that. Let φ,..., φ n be an orthonormal set in a Hilbert space H. Show n f n
More informationSolutions Final Exam May. 14, 2014
Solutions Final Exam May. 14, 2014 1. Determine whether the following statements are true or false. Justify your answer (i.e., prove the claim, derive a contradiction or give a counter-example). (a) (10
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 informationMET Workshop: Exercises
MET Workshop: Exercises Alex Blumenthal and Anthony Quas May 7, 206 Notation. R d is endowed with the standard inner product (, ) and Euclidean norm. M d d (R) denotes the space of n n real matrices. When
More informationCHAPTER VIII HILBERT SPACES
CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)
More informationFourier Series. 1. Review of Linear Algebra
Fourier Series In this section we give a short introduction to Fourier Analysis. If you are interested in Fourier analysis and would like to know more detail, I highly recommend the following book: Fourier
More informationGeneral Topology. Summer Term Michael Kunzinger
General Topology Summer Term 2016 Michael Kunzinger michael.kunzinger@univie.ac.at Universität Wien Fakultät für Mathematik Oskar-Morgenstern-Platz 1 A-1090 Wien Preface These are lecture notes for a
More informationMetric Spaces Math 413 Honors Project
Metric Spaces Math 413 Honors Project 1 Metric Spaces Definition 1.1 Let X be a set. A metric on X is a function d : X X R such that for all x, y, z X: i) d(x, y) = d(y, x); ii) d(x, y) = 0 if and only
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 informationTHE EULER CHARACTERISTIC OF A LIE GROUP
THE EULER CHARACTERISTIC OF A LIE GROUP JAY TAYLOR 1 Examples of Lie Groups The following is adapted from [2] We begin with the basic definition and some core examples Definition A Lie group is a smooth
More informationMeasurable functions are approximately nice, even if look terrible.
Tel Aviv University, 2015 Functions of real variables 74 7 Approximation 7a A terrible integrable function........... 74 7b Approximation of sets................ 76 7c Approximation of functions............
More informationREFLECTIONS IN A EUCLIDEAN SPACE
REFLECTIONS IN A EUCLIDEAN SPACE PHILIP BROCOUM Let V be a finite dimensional real linear space. Definition 1. A function, : V V R is a bilinear form in V if for all x 1, x, x, y 1, y, y V and all k R,
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 information