Existence of a Limit on a Dense Set, and. Construction of Continuous Functions on Special Sets

Similar documents
Chapter 5. Measurable Functions

Entrance Exam, Real Analysis September 1, 2017 Solve exactly 6 out of the 8 problems

Chapter 4. Measure Theory. 1. Measure Spaces

ABSTRACT INTEGRATION CHAPTER ONE

REVIEW OF ESSENTIAL MATH 346 TOPICS

Real Analysis Chapter 1 Solutions Jonathan Conder

In N we can do addition, but in order to do subtraction we need to extend N to the integers

THEOREMS, ETC., FOR MATH 515

The Borel-Cantelli Group

7 About Egorov s and Lusin s theorems

Problem Set 2: Solutions Math 201A: Fall 2016

In N we can do addition, but in order to do subtraction we need to extend N to the integers

MATH5011 Real Analysis I. Exercise 1 Suggested Solution

MATHS 730 FC Lecture Notes March 5, Introduction

Real Analysis Notes. Thomas Goller

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?

Integration on Measure Spaces

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions.

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3

HW 4 SOLUTIONS. , x + x x 1 ) 2

Measurable functions are approximately nice, even if look terrible.

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

Homework in Topology, Spring 2009.

Problems for Chapter 3.

Review of measure theory

Section 21. The Metric Topology (Continued)

Chapter 1 : The language of mathematics.

A List of Problems in Real Analysis

Summer Jump-Start Program for Analysis, 2012 Song-Ying Li. 1 Lecture 7: Equicontinuity and Series of functions

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

NORMAL NUMBERS AND UNIFORM DISTRIBUTION (WEEKS 1-3) OPEN PROBLEMS IN NUMBER THEORY SPRING 2018, TEL AVIV UNIVERSITY

FUNDAMENTALS OF REAL ANALYSIS by. II.1. Prelude. Recall that the Riemann integral of a real-valued function f on an interval [a, b] is defined as

Three hours THE UNIVERSITY OF MANCHESTER. 24th January

Solutions Final Exam May. 14, 2014

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

A note on some approximation theorems in measure theory

Real Analysis Problems

Logical Connectives and Quantifiers

MATH 140B - HW 5 SOLUTIONS

Some Background Material

MATH 409 Advanced Calculus I Lecture 7: Monotone sequences. The Bolzano-Weierstrass theorem.

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Copyright c 2007 Jason Underdown Some rights reserved. statement. sentential connectives. negation. conjunction. disjunction

Principles of Real Analysis I Fall I. The Real Number System

Chapter 2. Real Numbers. 1. Rational Numbers

Notes on the Lebesgue Integral by Francis J. Narcowich November, 2013

REAL AND COMPLEX ANALYSIS

2.2 Some Consequences of the Completeness Axiom

Lebesgue measure and integration

5 Set Operations, Functions, and Counting

Scalar multiplication and addition of sequences 9

Measures and Measure Spaces

METRIC HEIGHTS ON AN ABELIAN GROUP

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

Your first day at work MATH 806 (Fall 2015)

Measure and integration

The Mysterious World of Normal Numbers

van Rooij, Schikhof: A Second Course on Real Functions

U e = E (U\E) e E e + U\E e. (1.6)

1 Measure and Category on the Line

Notes on the Lebesgue Integral by Francis J. Narcowich Septemmber, 2014

Apprentice Linear Algebra, 1st day, 6/27/05

A LITTLE REAL ANALYSIS AND TOPOLOGY

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

Analysis Comprehensive Exam Questions Fall 2008

SOME PROBLEMS IN REAL ANALYSIS.

MORE ON CONTINUOUS FUNCTIONS AND SETS

Principle of Mathematical Induction

From now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.

PREVALENCE OF SOME KNOWN TYPICAL PROPERTIES. 1. Introduction

1. Is the set {f a,b (x) = ax + b a Q and b Q} of all linear functions with rational coefficients countable or uncountable?

Analysis Qualifying Exam

The function graphed below is continuous everywhere. The function graphed below is NOT continuous everywhere, it is discontinuous at x 2 and

Mathematical Methods for Physics and Engineering

Lebesgue measure on R is just one of many important measures in mathematics. In these notes we introduce the general framework for measures.

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:

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

ECARES Université Libre de Bruxelles MATH CAMP Basic Topology

MATH 117 LECTURE NOTES

Topic 2 Limits and Continuity c and d) Continuity Handout Notes Assigned Problems: Intro book pg 73, 1-3 and 6-8

Sets, Functions and Metric Spaces

SOME QUESTIONS FOR MATH 766, SPRING Question 1. Let C([0, 1]) be the set of all continuous functions on [0, 1] endowed with the norm

Week 2: Sequences and Series

b 0 + b 1 z b d z d

van Rooij, Schikhof: A Second Course on Real Functions

G1CMIN Measure and Integration

3 Measurable Functions

1.4 Cardinality. Tom Lewis. Fall Term Tom Lewis () 1.4 Cardinality Fall Term / 9

(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define

Compendium and Solutions to exercises TMA4225 Foundation of analysis

Part IA Numbers and Sets

Measures. Chapter Some prerequisites. 1.2 Introduction

Real Analysis Chapter 4 Solutions Jonathan Conder

Essential Background for Real Analysis I (MATH 5210)

Dual Space of L 1. C = {E P(I) : one of E or I \ E is countable}.

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers

1.3. The Completeness Axiom.

h(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote

MATH NEW HOMEWORK AND SOLUTIONS TO PREVIOUS HOMEWORKS AND EXAMS

Transcription:

Existence of a Limit on a Dense Set, and Construction of Continuous Functions on Special Sets REU 2012

Recap: Definitions

Definition Given a real-valued function f, the limit of f exists at a point c R if for each given ε > 0, there exists δ > 0 such that for any x R if 0 < c x < δ, then f (c) L < ε.

Definition Given a real-valued function f, f is continuous at a point c R if for each given ε > 0, there exists δ > 0 such that for any x R if c x < δ, then f (c) f (x) < ε.

Definition Let B be a subset of R. B is said to be dense in R if for any point x R, x is either in B or a limit point of B. Equivalently, given any ε > 0, and any x R, then p B such that p N ε (x).

Definition Let B be a subset of R. B is said to be dense in R if for any point x R, x is either in B or a limit point of B. Equivalently, given any ε > 0, and any x R, then p B such that p N ε (x). Notation Given f : [a, b] R, let F C denote the set of points where f is continuous. Let F + denote the set of points where the right-sided limit of f exists. Similarly, let F denote the set of points where the left-sided limit of f exists. Then, also let F L designate the set of points where a one-sided limit exists, that is F L = F + F.

Notation Let D be the set of points of discontinuity of a real function f. Then each point in D belongs to one of the following 3 sets: D 1, the set of points c [a, b] such that f has either a removable or jump discontinuity at c. D 2, the set of points c [a, b] such that f has only either a right-sided limit or a left-sided limit at c. D 3, the set of points c [a, b] such that f has neither a right-sided limit or a left-sided limit at c.

Definition A set A is countable if there exists a one-to-one correspondence from A to N.

Recap: Results

Proposition Let f be a function defined on [a, b]. Then the sets D 1 and D 2 are at most countable.

Theorem Let f be a function defined on [a, b]. Assume that the set F L is dense in [a, b]. Then the set F C is nonempty, dense in [a, b], and uncountable.

Theorem Let f : [a, b] R, with F L dense in R. Then f is unique on F C.

Corollary If f : [a, b] R and m(d 3 ) = 0, and given F L dense in R, then f is unique except at a set of measure zero.

Proposition Given a function f : [a, b] R, there is no countable dense set G where G := {c : lim x c f (x) = L with L R}.

Definition An F σ set is a countable union of closed sets. A G δ set is a countable intersection of open sets. Examples: Q is F σ. R\Q is G δ.

Definition An F σ set is a countable union of closed sets. A G δ set is a countable intersection of open sets. Examples: Q is F σ. R\Q is G δ. The set of continuity points of a function f : R R is a G δ set. Conversely, every G δ subset of R is the set of continuity points of a function f : R R.

Theorem (F L ) c is an F σ set.

Theorem (F L ) c is an F σ set. Let ω(f ; J) = sup f (x) inf f (x) x J x J

Theorem (F L ) c is an F σ set. Let ω(f ; J) = sup f (x) inf f (x) x J x J ω(f ; a) = inf (ω(f ; J)) a J

Theorem (F L ) c is an F σ set. Let ω(f ; J) = sup f (x) inf f (x) x J x J ω(f ; a) = inf (ω(f ; J)) a J E r = {a : ω(f ; a) 1 r }

Theorem There is no function that is continuous only on Q.

Is there a G δ set of measure zero, containing Q, that we can construct a continuous function on?

Definition A real number x is a Liouville number if for any given n N, there exist infinitely many relatively prime integers p and q with q > 1 such that 0 < x p q < 1 q n. We will denote the set of Liouville numbers with L.

Is there a G δ set of measure zero, containing Q, that we can construct a continuous function on?

Is there a G δ set of measure zero, containing Q, that we can construct a continuous function on? Let f : R R { 0, if x L Q f (x) = otherwise 1 N x, Where N x is defined as the first n where x fails to meet the definition of a Liouville number. In other words, the first n such that there do not exist p and q such that 0 < x p q < 1 q n.

Definition The irrationality measure for a real number x is a numeric representation of how well x can be approximated by the rationals. Let µ be the least upper bound such that 0 < x p q < 1 q where µ p, q Z. We call µ the irrationality measure of x. Notation Let µ(x) stand for irrationality measure of x.

For example: µ(x) = if x L, µ(x) = 1 if x Q, µ(x) = 2 if x is an algebraic number of degree > 1, µ(x) 2 if x is transcendental.

For example: µ(x) = if x L, µ(x) = 1 if x Q, µ(x) = 2 if x is an algebraic number of degree > 1, µ(x) 2 if x is transcendental. Definition If r is a root of a nonzero polynomial equation a n x n + a n 1 x n 1 + + a 1 x + a 0 = 0 where a i Z and r satisfies no similar equation of degree < n then r is said to be an algebraic number of degree n. A number that is not algebraic is said to be transcendental.

Notation { } For fixed n, S n,k = x : x r k < 1 qk n where r k is the rational p k q k. C = S n,k. N=1 k=n

Notation { } For fixed n, S n,k = x : x r k < 1 qk n where r k is the rational p k q k. C = S n,k. B N = k=n N=1 k=n S n,k, B 1 B 2 B N B N+1.

Notation { } For fixed n, S n,k = x : x r k < 1 qk n where r k is the rational p k q k. C = S n,k. B N = B = k=n k=1 N=1 k=n S n,k, B 1 B 2 B N B N+1. S n,k. We will be working with B c, and B N \B N+1.

Notation { } For fixed n, S n,k = x : x r k < 1 qk n where r k is the rational p k q k. C = S n,k. B N = B = k=n k=1 N=1 k=n S n,k, B 1 B 2 B N B N+1. S n,k. We will be working with B c, and B N \B N+1. R = B c (B 1 \B 2 ) (B 2 \B 3 ) C.

Proposition For fixed n, define { 0, if x C B c h n (x) = 1 N, if x B N\B N+1 h n (x) is continuous on C B c.

Proposition For fixed n, h n (x) is discontinuous on B N \B n+1 for all N.

Consider the function h. h(x) = lim n h n(x)

Consider the function h. h(x) = lim n h n(x) then { 0, if x C B c g n (x) = 1 q N, if x B N \B N+1 lim g n(x) = R(x) n

Example Dirichlet Function f (x) = { 1, x Q 0, x / Q Example Riemann Function { 1 R(x) = q, x Q, x = p q in lowest terms 0, x / Q

Theorem (Egorov s Theorem) Let (X, B, µ) be a measurable space and let E be a measurable set with µ(e) <. Let f n be a sequence of measurable functions on E such that each f n is finite almost everywhere in E and f n converges almost everywhere in E to a finite limit. Then for every ε > 0, there exists a subset A of E with µ(e A) < ε such that f n converges uniformly on A.