Riesz bases, Meyer s quasicrystals, and bounded remainder sets

Size: px
Start display at page:

Download "Riesz bases, Meyer s quasicrystals, and bounded remainder sets"

Transcription

1 Riesz bases, Meyer s quasicrystals, and bounded remainder sets Sigrid Grepstad June 7, 2018 Joint work with Nir Lev

2 Riesz bases of exponentials S R d is bounded and measurable. Λ R d is discrete. The exponential system E(Λ) = {e λ } λ Λ, e λ (x) = e 2πi λ,x, is a Riesz basis in the space L 2 (S) if the mapping f { f, e λ } λ Λ is bounded and invertible from L 2 (S) onto l 2 (Λ).

3 Known results Kozma, Nitzan (2012): Finite unions of intervals Kozma, Nitzan (2015): Finite unions of rectangles in R d G., Lev and Kolountzakis (2012/2013): Multi-tiling sets in R d Lyubarskii, Rashkovskii (2000): Convex, centrally symmetric polygons in R 2 Questions What about the ball in dimensions two and higher? Does every set in R d admit a Riesz basis of exponentials?

4 Density Lower and upper uniform densities: D (Λ) = lim inf R D + (Λ) = lim sup R inf #(Λ (x + B R )) x R d B R #(Λ (x + B R )) sup x R d B R If E(Λ) is a Riesz basis in L 2 (S), then D (Λ) = D + (Λ) = mes S.

5 Cut-and-project sets R n Γ R m

6 Cut-and-project sets R n Γ W R m

7 Cut-and-project sets R n Γ W R m

8 Cut-and-project sets R n Γ W R m

9 Cut-and-project sets R n Γ W R m We define the Meyer cut-and-project set Λ(Γ, W ) = {p 1 (γ) : γ Γ, p 2 (γ) W }, with density D(Λ) = mes W/ det Γ.

10 Simple quasicrystals R Γ I R d We define the simple quasicrystal Λ(Γ, I) = {p 1 (γ) : γ Γ, p 2 (γ) I}, with density D(Λ) = I / det Γ.

11 Sampling on quasicrystals Matei and Meyer (2008): Simple quasicrystals are universal sampling sets. Kozma, Lev (2011): Riesz bases of exponentials from quasicrystals in dimension one.

12 Theorem 1 Let Λ = Λ(Γ, I), and suppose that I / p 2 (Γ). Then there exists no Riemann measurable set S such that E(Λ) is a Riesz basis in L 2 (S)

13 Equidecomposability S S 3 The sets S and S are equidecomposable (or scissors congruent).

14 Theorem 2 Let Λ = Λ(Γ, I), and suppose that I p 2 (Γ). Then E(Λ) is a Riesz basis in L 2 (S) for every Riemann measurable set S, mes S = D(Λ), satisfying the following condition: S is equidecomposable to a parallelepiped with vertices in p 1 (Γ ), using translations by vectors in p 1 (Γ ). Γ = { } γ R d R : γ, γ Z for all γ Γ

15 Example 1 Let α be an irrational number, and define Λ = {λ(n)} by λ(n) = n + {nα}, n Z. Then E(Λ) is a Riesz basis in L 2 (S) for every S R, mes S = 1, which is a finite union of disjoint intervals with lengths in Zα + Z.

16 Example 1 Let α be an irrational number, and define Λ = {λ(n)} by λ(n) = n + {nα}, n Z. Then E(Λ) is a Riesz basis in L 2 (S) for every S R, mes S = 1, which is a finite union of disjoint intervals with lengths in Zα + Z. Notice that {λ(n)} n Z = Λ(Γ, I), where I = [0, 1) and Γ = {((1 + α)n m, nα m) : m, n Z}, Γ = {(nα + m, n(1 + α) m) : m, n Z}

17 Example 2 Let Λ = {λ(n, m)} be defined by λ(n, m) = (n, m) + {n 2 + m 3}( 2, 3), (n, m) Z 2. E(Λ) is a Riesz basis in L 2 (S) for every set S R 2 which is equidecomposable to the unit cube [0, 1) 2 using only translations by vectors in Z( 2, 3) + Z 2.

18 Corollary 1 Λ = Λ(Γ, I), I p 2 (Γ) K R d compact, U R d open K U and mes K < D(Λ) < mes U There exists a set S R d satisfying: i) K S U and mes S = D(Λ). ii) S is equidecomposable to a parallelepiped with vertices in p 1 (Γ ) using translations by vectors in p 1 (Γ ).

19 Duality Λ(Γ, I) = {p 1 (γ) : γ Γ, p 2 (γ) I} R d Λ (Γ, S) = {p 2 (γ ) : γ Γ, p 1 (γ ) S} R Duality lemma Suppose that E(Λ (Γ, S)) is a Riesz basis in L 2 (I). Then E(Λ(Γ, I)) is a Riesz basis in L 2 (S).

20 Lattices of special form {( ) } Γ = (Id +βα )m βn, n α m : m Z d, n Z {( ) } Γ = m + nα, (1 + β α)n + β m : m Z d, n Z Theorem 2 Let Λ = Λ(Γ, I) and suppose that I = m 1 α 1 + m d α d + n for integers m 1,..., m d and n. Then E(Λ) is a Riesz basis in L 2 (S) for every Riemann measurable set S, mes S = I, which is equidecomposable to a parallelepiped with vertices in Z d + αz using translations by vectors in Z d + αz.

21 By duality, we may choose to consider { } Λ (Γ, S) = n + β (nα + m) : nα + m S, where n Z and m Z d. Question: When is E(Λ ) a Riesz basis in L 2 (I) for an interval of length I = mes S?

22 Avdonin s theorem Avdonins theorem Let I R be an interval and Λ = {λ j : j Z} be a sequence in R satisfying: (a) Λ is separated; (b) sup j δ j <, where δ j := λ j j/ I ; (c) There is a constant c and positive integer N such that k+n sup 1 δ j c k Z N < 1 4 I j=k+1 Then E(Λ) is a Riesz basis in L 2 (I).

23 { } Λ (Γ, S) = n + β (nα + m) : n Z, m Z d, nα + m S = { } Λ n, Λ n = n + β s : s = nα + m S R S α R

24 Irrational rotation on the torus S T d = R d /Z d α = (α 1, α 2,..., α d ) The sequence {nα} is equidistributed. α S n 1 1 χ S (x + kα) mes S n k=0 (n ) n 1 D n (S, x) = χ S (x + kα) n mes S = o(n) k=0

25 Bounded remainder sets Definition A set S is a bounded remainder set (BRS) if there is a constant C = C(S, α) such that n 1 D n (S, x) = χ S (x + kα) n mes S C for all n and a.e. x. k=0

26 Claim: The quasicrystal Λ (Γ, S) is at bounded distance from {j/ mes S} j Z if and only if S is a bounded remainder set.

27 Claim: The quasicrystal Λ (Γ, S) is at bounded distance from {j/ mes S} j Z if and only if S is a bounded remainder set. { } Λ = n + β (nα + m) : n Z, m Z d, nα + m S = { } Λ n, Λ n = n + β s : s = nα + m S n

28 Claim: The quasicrystal Λ (Γ, S) is at bounded distance from {j/ mes S} j Z if and only if S is a bounded remainder set. 0 K { } Λ = n + β (nα + m) : n Z, m Z d, nα + m S = { } Λ n, Λ n = n + β s : s = nα + m S n

29 Claim: The quasicrystal Λ (Γ, S) is at bounded distance from {j/ mes S} j Z if and only if S is a bounded remainder set. 0 K { } Λ = n + β (nα + m) : n Z, m Z d, nα + m S = { } Λ n, Λ n = n + β s : s = nα + m S n N = Λ [0, K) = K 1 k=0 Λ k + const = K 1 k=0 χ S (kα) + const

30 Claim: The quasicrystal Λ (Γ, S) is at bounded distance from {j/ mes S} j Z if and only if S is a bounded remainder set. 0 K { } Λ = n + β (nα + m) : n Z, m Z d, nα + m S = { } Λ n, Λ n = n + β s : s = nα + m S n N = Λ [0, K) = K 1 k=0 Λ k + const = K 1 k=0 = Z/ mes S [0, K) + const = K mes S + const χ S (kα) + const

31 Properties of bounded remainder sets Theorem (G., Lev 2015) Any parallelepiped in R d spanned by vectors v 1,..., v d belonging to Zα + Z d is a bounded remainder set. (Duneau and Oguey (1990): Displacive transformations and quasicrystalline symmetries) Theorem The measure of any bounded remainder set must be of the form where n 0,... n d are integers. n 0 + n 1 α n d α d

32 Characterization of Riemann measurable BRS Theorem A Riemann measurable set S R d is a BRS if and only if there is a parallelepiped P spanned by vectors belonging to Zα + Z d, such that S and P are equidecomposable using translations by vectors in Zα + Z d only.

33 Summary proof Theorem 2 Λ (Γ, S) provides a Riesz basis E(Λ ) in L 2 (I) whenever S R d is a bounded remainder set with mes S = I, i.e. if S is equidecomposable to a parallelepiped spanned by vectors in Zα + Z d using translations by vectors in Zα + Z d. (Duality) Λ(Γ, I) gives a Riesz basis E(Λ) in L 2 (S) for all such sets S. Note: The given equidecomposition condition on S implies that mes S = n 0 + n 1 α n d α d p 2 (Γ).

34 Pavlov s complete characterization One can deduce from Pavlov s complete characterization of exponential Riesz bases in L 2 (I) that for Λ = Λ (Γ, S) to provide a Riesz basis in L 2 (I) it is necessary that the sequence of discrepancies { n 1 } {d n } n 1 = χ S (kα) n mes S is in BMO, i.e. satisfies ( 1 m m n sup n<m k=n+1 k=0 n 1 d k d ) n d m m n <.

35 Theorem (Kozma and Lev, 2011) If the sequence { n 1 } χ S (kα) n mes S k=0 n 1 belongs to BMO, then the measure of S is of the form n 0 + n 1 α n d α d, where n 0, n 1,..., n d are integers.

36 Open problem Suppose that the condition I = n 0 + n 1 α n d α d is satisfied. Are there additional sets S R d which admit E(Λ(Γ, I)) as a Riesz basis? Related question: Does there exist a set S for which the sequence { n 1 } χ S (kα) n mes S is unbounded, but in BMO? k=0 n 1

37 Thank you for your attention.

Universal sampling on quasicrystals

Universal sampling on quasicrystals Universal sampling on quasicrystals Sigrid Grepstad and Nir Lev June 2015 2 Sampling and interpolation P W S = {f L 2 : f(t) = } e 2πi t,x f(x) dx supported by S A uniformly discrete set Λ R d is a set

More information

Average lattices for quasicrystals

Average lattices for quasicrystals Technische Fakultät Universität Bielefeld 23. May 2017 joint work with Alexey Garber, Brownsville, Texas Plan: 1. Lattices, Delone sets, basic notions 2. Dimension one 3. Aperiodic patterns 4. 5. Weighted

More information

l(y j ) = 0 for all y j (1)

l(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 information

Exponential bases on rectangles of R d

Exponential bases on rectangles of R d Exponential bases on rectangles of R d Laura De Carli Abstract. We produce explicit exponential bases on finite unions of disjoint rectangles of R d with rational vertices. 1. Introduction Exponential

More information

Problem Set 2: Solutions Math 201A: Fall 2016

Problem Set 2: Solutions Math 201A: Fall 2016 Problem Set 2: s Math 201A: Fall 2016 Problem 1. (a) Prove that a closed subset of a complete metric space is complete. (b) Prove that a closed subset of a compact metric space is compact. (c) Prove that

More information

Real Analysis Notes. Thomas Goller

Real 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 information

MAT 257, Handout 13: December 5-7, 2011.

MAT 257, Handout 13: December 5-7, 2011. MAT 257, Handout 13: December 5-7, 2011. The Change of Variables Theorem. In these notes, I try to make more explicit some parts of Spivak s proof of the Change of Variable Theorem, and to supply most

More information

HARMONIC ANALYSIS. Date:

HARMONIC 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 information

Problem set 1, Real Analysis I, Spring, 2015.

Problem set 1, Real Analysis I, Spring, 2015. Problem set 1, Real Analysis I, Spring, 015. (1) Let f n : D R be a sequence of functions with domain D R n. Recall that f n f uniformly if and only if for all ɛ > 0, there is an N = N(ɛ) so that if n

More information

Frames of exponentials on small sets

Frames of exponentials on small sets Frames of exponentials on small sets J.-P. Gabardo McMaster University Department of Mathematics and Statistics gabardo@mcmaster.ca Joint work with Chun-Kit Lai (San Francisco State Univ.) Workshop on

More information

Lebesgue Integration on R n

Lebesgue 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 information

Lebesgue Integration: A non-rigorous introduction. What is wrong with Riemann integration?

Lebesgue Integration: A non-rigorous introduction. What is wrong with Riemann integration? Lebesgue Integration: A non-rigorous introduction What is wrong with Riemann integration? xample. Let f(x) = { 0 for x Q 1 for x / Q. The upper integral is 1, while the lower integral is 0. Yet, the function

More information

When are Sums Closed?

When are Sums Closed? Division of the Humanities and Social Sciences Ec 181 KC Border Convex Analysis and Economic Theory Fall 2018 Winter 2019 Topic 20: When are Sums Closed? 20.1 Is a sum of closed sets closed? Example 0.2.2

More information

MATHS 730 FC Lecture Notes March 5, Introduction

MATHS 730 FC Lecture Notes March 5, Introduction 1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists

More information

Problem Set 6: Solutions Math 201A: Fall a n x n,

Problem 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 information

ABSTRACT INTEGRATION CHAPTER ONE

ABSTRACT INTEGRATION CHAPTER ONE CHAPTER ONE ABSTRACT INTEGRATION Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any form or by any means. Suggestions and errors are invited and can be mailed

More information

REAL AND COMPLEX ANALYSIS

REAL 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 information

Weak Topologies, Reflexivity, Adjoint operators

Weak Topologies, Reflexivity, Adjoint operators Chapter 2 Weak Topologies, Reflexivity, Adjoint operators 2.1 Topological vector spaces and locally convex spaces Definition 2.1.1. [Topological Vector Spaces and Locally convex Spaces] Let E be a vector

More information

Gabor orthonormal bases generated by the unit cubes

Gabor orthonormal bases generated by the unit cubes Gabor orthonormal bases generated by the unit cubes Chun-Kit Lai, San Francisco State University (Joint work with J.-P Gabardo and Y. Wang) Jun, 2015 Background Background Background Let 1 g 0 on L 2 (R

More information

Chapter 6. Integration. 1. Integrals of Nonnegative Functions. a j µ(e j ) (ca j )µ(e j ) = c X. and ψ =

Chapter 6. Integration. 1. Integrals of Nonnegative Functions. a j µ(e j ) (ca j )µ(e j ) = c X. and ψ = Chapter 6. Integration 1. Integrals of Nonnegative Functions Let (, S, µ) be a measure space. We denote by L + the set of all measurable functions from to [0, ]. Let φ be a simple function in L +. Suppose

More information

The Canonical Gaussian Measure on R

The Canonical Gaussian Measure on R The Canonical Gaussian Measure on R 1. Introduction The main goal of this course is to study Gaussian measures. The simplest example of a Gaussian measure is the canonical Gaussian measure P on R where

More information

A class of non-convex polytopes that admit no orthonormal basis of exponentials

A class of non-convex polytopes that admit no orthonormal basis of exponentials A class of non-convex polytopes that admit no orthonormal basis of exponentials Mihail N. Kolountzakis and Michael Papadimitrakis 1 Abstract A conjecture of Fuglede states that a bounded measurable set

More information

JUHA KINNUNEN. Harmonic Analysis

JUHA KINNUNEN. Harmonic Analysis JUHA KINNUNEN Harmonic Analysis Department of Mathematics and Systems Analysis, Aalto University 27 Contents Calderón-Zygmund decomposition. Dyadic subcubes of a cube.........................2 Dyadic cubes

More information

Based on the Appendix to B. Hasselblatt and A. Katok, A First Course in Dynamics, Cambridge University press,

Based on the Appendix to B. Hasselblatt and A. Katok, A First Course in Dynamics, Cambridge University press, NOTE ON ABSTRACT RIEMANN INTEGRAL Based on the Appendix to B. Hasselblatt and A. Katok, A First Course in Dynamics, Cambridge University press, 2003. a. Definitions. 1. Metric spaces DEFINITION 1.1. If

More information

Analysis Comprehensive Exam Questions Fall 2008

Analysis Comprehensive Exam Questions Fall 2008 Analysis Comprehensive xam Questions Fall 28. (a) Let R be measurable with finite Lebesgue measure. Suppose that {f n } n N is a bounded sequence in L 2 () and there exists a function f such that f n (x)

More information

The Discrepancy Function and the Small Ball Inequality in Higher Dimensions

The Discrepancy Function and the Small Ball Inequality in Higher Dimensions The Discrepancy Function and the Small Ball Inequality in Higher Dimensions Dmitriy Georgia Institute of Technology (joint work with M. Lacey and A. Vagharshakyan) 2007 Fall AMS Western Section Meeting

More information

g 2 (x) (1/3)M 1 = (1/3)(2/3)M.

g 2 (x) (1/3)M 1 = (1/3)(2/3)M. COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is

More information

13. Examples of measure-preserving tranformations: rotations of a torus, the doubling map

13. Examples of measure-preserving tranformations: rotations of a torus, the doubling map 3. Examples of measure-preserving tranformations: rotations of a torus, the doubling map 3. Rotations of a torus, the doubling map In this lecture we give two methods by which one can show that a given

More information

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space 1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization

More information

Part V. Chapter 19. Congruence of integers

Part V. Chapter 19. Congruence of integers Part V. Chapter 19. Congruence of integers Congruence modulo m Let m be a positive integer. Definition. Integers a and b are congruent modulo m if and only if a b is divisible by m. For example, 1. 277

More information

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable

More information

THEOREMS, ETC., FOR MATH 516

THEOREMS, ETC., FOR MATH 516 THEOREMS, ETC., FOR MATH 516 Results labeled Theorem Ea.b.c (or Proposition Ea.b.c, etc.) refer to Theorem c from section a.b of Evans book (Partial Differential Equations). Proposition 1 (=Proposition

More information

Isodiametric problem in Carnot groups

Isodiametric problem in Carnot groups Conference Geometric Measure Theory Université Paris Diderot, 12th-14th September 2012 Isodiametric inequality in R n Isodiametric inequality: where ω n = L n (B(0, 1)). L n (A) 2 n ω n (diam A) n Isodiametric

More information

2.2 Annihilators, complemented subspaces

2.2 Annihilators, complemented subspaces 34CHAPTER 2. WEAK TOPOLOGIES, REFLEXIVITY, ADJOINT OPERATORS 2.2 Annihilators, complemented subspaces Definition 2.2.1. [Annihilators, Pre-Annihilators] Assume X is a Banach space. Let M X and N X. We

More information

Borel circle squaring

Borel circle squaring Borel circle squaring Andrew Marks, joint with Spencer Unger UCLA Tarski s circle squaring problem The theory of amenability can be used to show that Lebesgue measure on R 2 can be extended to a finitely

More information

VISCOSITY SOLUTIONS. We follow Han and Lin, Elliptic Partial Differential Equations, 5.

VISCOSITY SOLUTIONS. We follow Han and Lin, Elliptic Partial Differential Equations, 5. VISCOSITY SOLUTIONS PETER HINTZ We follow Han and Lin, Elliptic Partial Differential Equations, 5. 1. Motivation Throughout, we will assume that Ω R n is a bounded and connected domain and that a ij C(Ω)

More information

Solving a linear equation in a set of integers II

Solving a linear equation in a set of integers II ACTA ARITHMETICA LXXII.4 (1995) Solving a linear equation in a set of integers II by Imre Z. Ruzsa (Budapest) 1. Introduction. We continue the study of linear equations started in Part I of this paper.

More information

Lebesgue Measure on R n

Lebesgue Measure on R n CHAPTER 2 Lebesgue Measure on R n Our goal is to construct a notion of the volume, or Lebesgue measure, of rather general subsets of R n that reduces to the usual volume of elementary geometrical sets

More information

Review of Multi-Calculus (Study Guide for Spivak s CHAPTER ONE TO THREE)

Review 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 information

2 Lebesgue integration

2 Lebesgue integration 2 Lebesgue integration 1. Let (, A, µ) be a measure space. We will always assume that µ is complete, otherwise we first take its completion. The example to have in mind is the Lebesgue measure on R n,

More information

Disintegration into conditional measures: Rokhlin s theorem

Disintegration into conditional measures: Rokhlin s theorem Disintegration into conditional measures: Rokhlin s theorem Let Z be a compact metric space, µ be a Borel probability measure on Z, and P be a partition of Z into measurable subsets. Let π : Z P be the

More information

1 Directional Derivatives and Differentiability

1 Directional Derivatives and Differentiability Wednesday, January 18, 2012 1 Directional Derivatives and Differentiability Let E R N, let f : E R and let x 0 E. Given a direction v R N, let L be the line through x 0 in the direction v, that is, L :=

More information

Finite-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

Finite-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 information

Product measures, Tonelli s and Fubini s theorems For use in MAT4410, autumn 2017 Nadia S. Larsen. 17 November 2017.

Product measures, Tonelli s and Fubini s theorems For use in MAT4410, autumn 2017 Nadia S. Larsen. 17 November 2017. Product measures, Tonelli s and Fubini s theorems For use in MAT4410, autumn 017 Nadia S. Larsen 17 November 017. 1. Construction of the product measure The purpose of these notes is to prove the main

More information

Measurable functions are approximately nice, even if look terrible.

Measurable 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 information

RIESZ BASES AND UNCONDITIONAL BASES

RIESZ BASES AND UNCONDITIONAL BASES In this paper we give a brief introduction to adjoint operators on Hilbert spaces and a characterization of the dual space of a Hilbert space. We then introduce the notion of a Riesz basis and give some

More information

Final. due May 8, 2012

Final. due May 8, 2012 Final due May 8, 2012 Write your solutions clearly in complete sentences. All notation used must be properly introduced. Your arguments besides being correct should be also complete. Pay close attention

More information

MEAN CURVATURE FLOW OF ENTIRE GRAPHS EVOLVING AWAY FROM THE HEAT FLOW

MEAN CURVATURE FLOW OF ENTIRE GRAPHS EVOLVING AWAY FROM THE HEAT FLOW MEAN CURVATURE FLOW OF ENTIRE GRAPHS EVOLVING AWAY FROM THE HEAT FLOW GREGORY DRUGAN AND XUAN HIEN NGUYEN Abstract. We present two initial graphs over the entire R n, n 2 for which the mean curvature flow

More information

arxiv: v4 [math.ca] 8 Aug 2015

arxiv: v4 [math.ca] 8 Aug 2015 Multi-tiling sets, Riesz bases, and sampling near the critical density in LCA groups Elona Agora a, Jorge Antezana a,b, Carlos Cabrelli c,d, a Instituto Argentino de Matemática "Alberto P. Calderón" (IAM-CONICET),

More information

Tiling functions and Gabor orthonormal bases

Tiling functions and Gabor orthonormal bases Tiling functions and Gabor orthonormal bases Elona Agora, Jorge Antezana, and Mihail N. Kolountzakis Abstract We study the existence of Gabor orthonormal bases with window the characteristic function of

More information

Homework 1 Real Analysis

Homework 1 Real Analysis Homework 1 Real Analysis Joshua Ruiter March 23, 2018 Note on notation: When I use the symbol, it does not imply that the subset is proper. In writing A X, I mean only that a A = a X, leaving open the

More information

Division of the Humanities and Social Sciences. Sums of sets, etc.

Division of the Humanities and Social Sciences. Sums of sets, etc. Division of the Humanities and Social Sciences Sums of sets, etc. KC Border September 2002 Rev. November 2012 Rev. September 2013 If E and F are subsets of R m, define the sum E + F = {x + y : x E; y F

More information

Statistical Mechanics and Combinatorics : Lecture IV

Statistical Mechanics and Combinatorics : Lecture IV Statistical Mechanics and Combinatorics : Lecture IV Dimer Model Local Statistics We ve already discussed the partition function Z for dimer coverings in a graph G which can be computed by Kasteleyn matrix

More information

The quasi-periodic Frenkel-Kontorova model

The quasi-periodic Frenkel-Kontorova model The quasi-periodic Frenkel-Kontorova model Philippe Thieullen (Bordeaux) joint work with E. Garibaldi (Campinas) et S. Petite (Amiens) Korean-French Conference in Mathematics Pohang, August 24-28,2015

More information

TWO MORE PERFECTLY NORMAL NON-METRIZABLE MANIFOLDS. Zoltan Balogh and Gary Gruenhage

TWO MORE PERFECTLY NORMAL NON-METRIZABLE MANIFOLDS. Zoltan Balogh and Gary Gruenhage TWO MORE PERFECTLY NORMAL NON-METRIZABLE MANIFOLDS Zoltan Balogh and Gary Gruenhage Abstract. We show that there is a perfectly normal non-metrizable manifold if there is a Luzin subset of the real line,

More information

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents

MATH 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 information

S-adic sequences A bridge between dynamics, arithmetic, and geometry

S-adic sequences A bridge between dynamics, arithmetic, and geometry S-adic sequences A bridge between dynamics, arithmetic, and geometry J. M. Thuswaldner (joint work with P. Arnoux, V. Berthé, M. Minervino, and W. Steiner) Marseille, November 2017 PART 3 S-adic Rauzy

More information

(U) =, if 0 U, 1 U, (U) = X, if 0 U, and 1 U. (U) = E, if 0 U, but 1 U. (U) = X \ E if 0 U, but 1 U. n=1 A n, then A M.

(U) =, if 0 U, 1 U, (U) = X, if 0 U, and 1 U. (U) = E, if 0 U, but 1 U. (U) = X \ E if 0 U, but 1 U. n=1 A n, then A M. 1. Abstract Integration The main reference for this section is Rudin s Real and Complex Analysis. The purpose of developing an abstract theory of integration is to emphasize the difference between the

More information

REAL ANALYSIS I HOMEWORK 4

REAL 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 information

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define 1 Measures 1.1 Jordan content in R N II - REAL ANALYSIS Let I be an interval in R. Then its 1-content is defined as c 1 (I) := b a if I is bounded with endpoints a, b. If I is unbounded, we define c 1

More information

Operators shrinking the Arveson spectrum

Operators shrinking the Arveson spectrum Operators shrinking the Arveson spectrum A. R. Villena joint work with J. Alaminos and J. Extremera Departamento de Análisis Matemático Universidad de Granada BANACH ALGEBRAS 2009 STEFAN BANACH INTERNATIONAL

More information

The Density Theorem and the Homogeneous Approximation Property for Gabor Frames

The Density Theorem and the Homogeneous Approximation Property for Gabor Frames The Density Theorem and the Homogeneous Approximation Property for Gabor Frames Christopher Heil School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332 USA heil@math.gatech.edu Summary.

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, 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 information

Some Properties of Convex Hulls of Integer Points Contained in General Convex Sets

Some Properties of Convex Hulls of Integer Points Contained in General Convex Sets Some Properties of Convex Hulls of Integer Points Contained in General Convex Sets Santanu S. Dey and Diego A. Morán R. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute

More information

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify

More information

Two-periodic Aztec diamond

Two-periodic Aztec diamond Two-periodic Aztec diamond Arno Kuijlaars (KU Leuven) joint work with Maurice Duits (KTH Stockholm) Optimal and Random Point Configurations ICERM, Providence, RI, U.S.A., 27 February 2018 Outline 1. Aztec

More information

MATH41112/ Ergodic Theory. Charles Walkden

MATH41112/ Ergodic Theory. Charles Walkden MATH42/62 Ergodic Theory Charles Walkden 4 th January, 208 MATH4/62 Contents Contents 0 Preliminaries 2 An introduction to ergodic theory. Uniform distribution of real sequences 4 2 More on uniform distribution

More information

Math 4121 Spring 2012 Weaver. Measure Theory. 1. σ-algebras

Math 4121 Spring 2012 Weaver. Measure Theory. 1. σ-algebras Math 4121 Spring 2012 Weaver Measure Theory 1. σ-algebras A measure is a function which gauges the size of subsets of a given set. In general we do not ask that a measure evaluate the size of every subset,

More information

Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets

Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets Decomposition of Riesz frames and wavelets into a finite union of linearly independent sets Ole Christensen, Alexander M. Lindner Abstract We characterize Riesz frames and prove that every Riesz frame

More information

Real Analysis Problems

Real Analysis Problems Real Analysis Problems Cristian E. Gutiérrez September 14, 29 1 1 CONTINUITY 1 Continuity Problem 1.1 Let r n be the sequence of rational numbers and Prove that f(x) = 1. f is continuous on the irrationals.

More information

The Hilbert transform

The 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 information

ANALYSIS 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 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

8 Change of variables

8 Change of variables Tel Aviv University, 2013/14 Analysis-III,IV 111 8 Change of variables 8a What is the problem................ 111 8b Examples and exercises............... 113 8c Differentiating set functions............

More information

The Minimal Element Theorem

The Minimal Element Theorem The Minimal Element Theorem The CMC Dynamics Theorem deals with describing all of the periodic or repeated geometric behavior of a properly embedded CMC surface with bounded second fundamental form in

More information

Linear Independence of Finite Gabor Systems

Linear 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 information

Proof: The coding of T (x) is the left shift of the coding of x. φ(t x) n = L if T n+1 (x) L

Proof: The coding of T (x) is the left shift of the coding of x. φ(t x) n = L if T n+1 (x) L Lecture 24: Defn: Topological conjugacy: Given Z + d (resp, Zd ), actions T, S a topological conjugacy from T to S is a homeomorphism φ : M N s.t. φ T = S φ i.e., φ T n = S n φ for all n Z + d (resp, Zd

More information

Chapter 1. Measure Spaces. 1.1 Algebras and σ algebras of sets Notation and preliminaries

Chapter 1. Measure Spaces. 1.1 Algebras and σ algebras of sets Notation and preliminaries Chapter 1 Measure Spaces 1.1 Algebras and σ algebras of sets 1.1.1 Notation and preliminaries We shall denote by X a nonempty set, by P(X) the set of all parts (i.e., subsets) of X, and by the empty set.

More information

TERENCE TAO S AN EPSILON OF ROOM CHAPTER 3 EXERCISES. 1. Exercise 1.3.1

TERENCE TAO S AN EPSILON OF ROOM CHAPTER 3 EXERCISES. 1. Exercise 1.3.1 TRNC TAO S AN PSILON OF ROOM CHAPTR 3 RCISS KLLR VANDBOGRT 1. xercise 1.3.1 We merely consider the inclusion f f, viewed as an element of L p (, χ, µ), where all nonmeasurable subnull sets are given measure

More information

18.175: Lecture 2 Extension theorems, random variables, distributions

18.175: Lecture 2 Extension theorems, random variables, distributions 18.175: Lecture 2 Extension theorems, random variables, distributions Scott Sheffield MIT Outline Extension theorems Characterizing measures on R d Random variables Outline Extension theorems Characterizing

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets

FUNCTIONAL 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 information

CHAPTER 6. Differentiation

CHAPTER 6. Differentiation CHPTER 6 Differentiation The generalization from elementary calculus of differentiation in measure theory is less obvious than that of integration, and the methods of treating it are somewhat involved.

More information

MAT1000 ASSIGNMENT 1. a k 3 k. x =

MAT1000 ASSIGNMENT 1. a k 3 k. x = MAT1000 ASSIGNMENT 1 VITALY KUZNETSOV Question 1 (Exercise 2 on page 37). Tne Cantor set C can also be described in terms of ternary expansions. (a) Every number in [0, 1] has a ternary expansion x = a

More information

L p Spaces and Convexity

L p Spaces and Convexity L p Spaces and Convexity These notes largely follow the treatments in Royden, Real Analysis, and Rudin, Real & Complex Analysis. 1. Convex functions Let I R be an interval. For I open, we say a function

More information

What is a Quasicrystal?

What is a Quasicrystal? July 23, 2013 Rotational symmetry An object with rotational symmetry is an object that looks the same after a certain amount of rotation. Rotational symmetry An object with rotational symmetry is an object

More information

Lebesgue Measure on R n

Lebesgue Measure on R n 8 CHAPTER 2 Lebesgue Measure on R n Our goal is to construct a notion of the volume, or Lebesgue measure, of rather general subsets of R n that reduces to the usual volume of elementary geometrical sets

More information

We have to prove now that (3.38) defines an orthonormal wavelet. It belongs to W 0 by Lemma and (3.55) with j = 1. We can write any f W 1 as

We have to prove now that (3.38) defines an orthonormal wavelet. It belongs to W 0 by Lemma and (3.55) with j = 1. We can write any f W 1 as 88 CHAPTER 3. WAVELETS AND APPLICATIONS We have to prove now that (3.38) defines an orthonormal wavelet. It belongs to W 0 by Lemma 3..7 and (3.55) with j =. We can write any f W as (3.58) f(ξ) = p(2ξ)ν(2ξ)

More information

The Banach-Tarski paradox

The Banach-Tarski paradox The Banach-Tarski paradox 1 Non-measurable sets In these notes I want to present a proof of the Banach-Tarski paradox, a consequence of the axiom of choice that shows us that a naive understanding of the

More information

Differentiation of Measures and Functions

Differentiation of Measures and Functions Chapter 6 Differentiation of Measures and Functions This chapter is concerned with the differentiation theory of Radon measures. In the first two sections we introduce the Radon measures and discuss two

More information

Compendium and Solutions to exercises TMA4225 Foundation of analysis

Compendium and Solutions to exercises TMA4225 Foundation of analysis Compendium and Solutions to exercises TMA4225 Foundation of analysis Ruben Spaans December 6, 2010 1 Introduction This compendium contains a lexicon over definitions and exercises with solutions. Throughout

More information

INTRODUCTION TO MEASURE THEORY AND LEBESGUE INTEGRATION

INTRODUCTION TO MEASURE THEORY AND LEBESGUE INTEGRATION 1 INTRODUCTION TO MEASURE THEORY AND LEBESGUE INTEGRATION Eduard EMELYANOV Ankara TURKEY 2007 2 FOREWORD This book grew out of a one-semester course for graduate students that the author have taught at

More information

Theorem (4.11). Let M be a closed subspace of a Hilbert space H. For any x, y E, the parallelogram law applied to x/2 and y/2 gives.

Theorem (4.11). Let M be a closed subspace of a Hilbert space H. For any x, y E, the parallelogram law applied to x/2 and y/2 gives. Math 641 Lecture #19 4.11, 4.12, 4.13 Inner Products and Linear Functionals (Continued) Theorem (4.10). Every closed, convex set E in a Hilbert space H contains a unique element of smallest norm, i.e.,

More information

DISCRETE MINIMAL ENERGY PROBLEMS

DISCRETE MINIMAL ENERGY PROBLEMS DISCRETE MINIMAL ENERGY PROBLEMS Lecture III E. B. Saff Center for Constructive Approximation Vanderbilt University University of Crete, Heraklion May, 2017 Random configurations ΩN = {X1, X2,..., XN }:

More information

Appendix B Convex analysis

Appendix B Convex analysis This version: 28/02/2014 Appendix B Convex analysis In this appendix we review a few basic notions of convexity and related notions that will be important for us at various times. B.1 The Hausdorff distance

More information

Elements of Convex Optimization Theory

Elements of Convex Optimization Theory Elements of Convex Optimization Theory Costis Skiadas August 2015 This is a revised and extended version of Appendix A of Skiadas (2009), providing a self-contained overview of elements of convex optimization

More information

The optimal partial transport problem

The optimal partial transport problem The optimal partial transport problem Alessio Figalli Abstract Given two densities f and g, we consider the problem of transporting a fraction m [0, min{ f L 1, g L 1}] of the mass of f onto g minimizing

More information

and BV loc R N ; R d)

and BV loc R N ; R d) Necessary and sufficient conditions for the chain rule in W 1,1 loc R N ; R d) and BV loc R N ; R d) Giovanni Leoni Massimiliano Morini July 25, 2005 Abstract In this paper we prove necessary and sufficient

More information

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures 2 1 Borel Regular Measures We now state and prove an important regularity property of Borel regular outer measures: Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon

More information

at time t, in dimension d. The index i varies in a countable set I. We call configuration the family, denoted generically by Φ: U (x i (t) x j (t))

at time t, in dimension d. The index i varies in a countable set I. We call configuration the family, denoted generically by Φ: U (x i (t) x j (t)) Notations In this chapter we investigate infinite systems of interacting particles subject to Newtonian dynamics Each particle is characterized by its position an velocity x i t, v i t R d R d at time

More information

THE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS

THE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS THE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS Motivation The idea here is simple. Suppose we have a Lipschitz homeomorphism f : X Y where X and Y are Banach spaces, namely c 1 x y f (x) f (y) c 2

More information

A PLANAR INTEGRAL SELF-AFFINE TILE WITH CANTOR SET INTERSECTIONS WITH ITS NEIGHBORS

A PLANAR INTEGRAL SELF-AFFINE TILE WITH CANTOR SET INTERSECTIONS WITH ITS NEIGHBORS #A INTEGERS 9 (9), 7-37 A PLANAR INTEGRAL SELF-AFFINE TILE WITH CANTOR SET INTERSECTIONS WITH ITS NEIGHBORS Shu-Juan Duan School of Math. and Computational Sciences, Xiangtan University, Hunan, China jjmmcn@6.com

More information