Combinatorial Variants of Lebesgue s Density Theorem
|
|
- Elfrieda Benson
- 6 years ago
- Views:
Transcription
1 Combinatorial Variants of Lebesgue s Density Theorem Philipp Schlicht joint with David Schrittesser, Sandra Uhlenbrock and Thilo Weinert September 6, 2017 Philipp Schlicht Variants of Lebesgue s Density Theorem 1/19
2 Lebesgue s Density Theorem Suppose that (X, d, µ) is a Polish metric space with a Borel measure µ. An element x of X is a µ-density point of a subset A of X if Theorem lim inf ɛ>0 µ(b ɛ (x) A)) µ(b ɛ (x)) = 1. (1) (Lebesgue) Suppose that A is a Lebesgue measurable subset of R n with the Lebesgue measure and D L (A) is the set of Lebesgue density points of A. Then µ(a D L (A)) = 0. (2) (Miller) Suppose that (X, d, µ) is an ultrametric Polish space with a finite Borel measure µ and A X is µ-measurable. Let D L,µ (A) be the set of µ-density points of A. Then µ(a D L,µ (A)) = 0. Philipp Schlicht Variants of Lebesgue s Density Theorem 2/19
3 Lebesgue s Density Theorem Theorem (Vitali s Covering Theorem) Given a collection of open balls centered at the points of a set A R n that contains arbitrary small balls at each point in A, there is a disjoint subcollection that covers A except for a null set. Proof of Lebesgue s Density Theorem. We claim that A ɛ = {x R n µ(b lim sup r(x)\a) r 0 µ(b r(x)) for all ɛ > 0. > ɛ} is a null set For any δ > 0, let U δ be an open set with A ɛ U δ and µ(u δ \ A ɛ) < δ. We obtain a collection C from Vitali s Covering Theorem for the collection of all open balls B U δ with µ(b\a) > ɛ at elements of A µ(b) ɛ. Then ɛµ(a ɛ) ɛ B C µ(b) < B C µ(b \ A) µ(u δ \ A) < δ. Since this holds for all δ > 0, we have µ(a ɛ) = 0. Philipp Schlicht Variants of Lebesgue s Density Theorem 3/19
4 Counterexamples If (X, d) is a metric space, d is called doubling if for some n N, any open ball B 2r (x) can be covered by n balls of radius r. Theorem (Käenmäki-Rajala-Suomala) There is a finite Borel measure ν and a complete doubling metric δ on the Cantor space, compatible with the standard topology, such that some closed set C of positive measure has no ν-density points. Theorem (Andretta-Costantini-Camerlo) For any Polish measure space (X, d, µ) there is a compatible metric δ such that (X, δ, µ) does not satisfy Lebesgue s density theorem. Philipp Schlicht Variants of Lebesgue s Density Theorem 4/19
5 Question Can the Lebesgue density theorem be generalized to other ideals instead of the ideal of null sets, in particular the σ-ideals defined by tree forcings? Philipp Schlicht Variants of Lebesgue s Density Theorem 5/19
6 Tree forcings and their ideals = 2 or = ω. We say P is a tree forcing iff the conditions in P are perfect subtrees of <ω ordered by inclusion such that for all T P and all s T we have that {t T s t or t s} P. (Ikegami) Suppose that P is a tree forcing and A is a subset of ω. (i) A N P if for every T P, there is some S P with S T and [S] A =. A set A in N P is also called P-null. (ii) I P is the σ-ideal generated by N P. (iii) A IP if for every T P, there is some S P with S T and [S] A I P. Philipp Schlicht Variants of Lebesgue s Density Theorem 6/19
7 Example: Random forcing Let µ denote the uniform measure on ω 2. Random forcing B is the tree forcing consisting of perfect trees T 2 <ω such that µ([t ]) > 0 and for all s T, µ([{t T s t or t s}]) > 0. A subset A of ω 2 is B-measurable iff for every T B there is some S B with S T such that either [S] A I B or [S] A c I B. What is a B-density point? Philipp Schlicht Variants of Lebesgue s Density Theorem 7/19
8 Density points for Random forcing (i) Suppose that A is a B-measurable subset of ω 2. Suppose that x ω 2. Then x is a B-translation density point of A if for every T B and s = stem T, there is some n 0 such that for all n n 0, f x n f 1 s [T ] A / I B. (ii) Let D B tr(a) denote the set of translation density points of A. (iii) We say that B has the translation density property if for every B-measurable subset A of ω 2, A D B tr(a) I B. Here f s (x) = s x and f 1 s [T ] = [T/s] = {t s t [T ]}. Philipp Schlicht Variants of Lebesgue s Density Theorem 8/19
9 Density points for Random forcing Lemma Suppose that A is a B-measurable subset of ω 2. (a) If lim inf n µ n (x, A) = 1, then x is a B-translation density point of A. (b) If lim inf n µ n (x, A) = 0, then x is not a B-translation density point of A. (c) If lim inf n µ n (x, A) (0, 1), then x can be but does not have to be a B-translation density point of A. Corollary For every B-measurable set A, D L (A) = I B D B tr(a). In particular B has the translation density property. Philipp Schlicht Variants of Lebesgue s Density Theorem 9/19
10 Density points for ideals Let I always denote a σ-ideal on the Borel subsets of ω. (a) A map g : A B between Borel sets A, B is I-invariant if for every Borel set X B, we have X I if and only if g 1 [X] I. (b) Let Bor(I) denote the set of all I-invariant Borel isomorphisms g : ω ω. (c) We say B is I-positive iff B / I. Let I + denote the I-positive sets. Philipp Schlicht Variants of Lebesgue s Density Theorem 10/19
11 Density points for ideals Suppose that A is a subset of ω and Γ is a subgroup of Bor(I). (i) An element x of ω is an I-density point of A w.r.t. Γ if for every I-positive Borel set B, there is some s <ω and some n B such that for all n n B and all g Γ, (f x n g f 1 s )[B] A / I. Let D I,Γ (A) denote the set of I-density points of A w.r.t. Γ. (ii) An element x of ω is a strong I-density point of A if there is some n 0 such that for all n n 0, we have f 1 x n [Ac N x n ] I. Let D I,strong (A) denote the set of strong I-density points of A. Note that D I,strong (A) D I,Bor(I) (A) D I,Γ (A) D I,{id} (A). Philipp Schlicht Variants of Lebesgue s Density Theorem 11/19
12 Density points We say that I has the density property w.r.t. Γ if for all Borel subsets A of ω, A D I,Γ (A) I. Philipp Schlicht Variants of Lebesgue s Density Theorem 12/19
13 Density points (i) P is homogeneous if for all S, T P, there is some U T and f : [S] [U] in Bor(I P ). (ii) P is nondegenerate if it is not equivalent to Cohen forcing and s S P s stem S. (iii) (Friedman-Khomskii-Kulikov) A tree forcing P is topological if for all S, T P with [S] [T ], there is U P with [U] [S] [T ]. For a topological tree forcing P, we let τ P be the topology on ω with basis {[T ] T P}. Lemma Assume that P is a homogeneous, nondegenerate, topological tree forcing and let I = IP. Then for all I-measurable A, D I,strong (A) = D I,Bor(I) (A). Philipp Schlicht Variants of Lebesgue s Density Theorem 13/19
14 Density property Suppose that P is a topological tree forcing and let A be a I P -measurable subset of ω which has the property of Baire in τ P. An x ω is a P-topological density point of A if x U = D P top(a), where U is the unique open subset in τ P such that A U I P. Theorem Suppose that P is a homogeneous, nondegenerate, topological tree forcing with the ccc w.r.t. I = IP. Suppose that for every T P there is an S T such that every x [S] is an I-density point of [T ] w.r.t. Bor(I). Then for every I-measurable A, D I,Bor(I) (A) = D I,strong (A) = I D P top(a). Therefore I has the density property w.r.t. Bor(I). Philipp Schlicht Variants of Lebesgue s Density Theorem 14/19
15 Stem-linked forcings Suppose that P is a tree forcing on <ω. Then P is stem-linked if for all S, T P, if stem S stem T and stem T S, then S and T are compatible. Stem-linked implies σ-linked, ccc w.r.t. IP, and topological. Lemma Let P be a stem-linked tree forcing on <ω. Then for every T P we have that every x [T ] is an I P -density point of [T ] w.r.t. Bor(I P ). Corollary Suppose P is a stem-linked, nondegenerate, homogeneous tree forcing on <ω. Then I P has the density property w.r.t. Bor(I P ). Philipp Schlicht Variants of Lebesgue s Density Theorem 15/19
16 Examples The I-density property w.r.t Bor(I) holds for the σ-ideals I defined by the following tree forcings, since they are stem-linked: Cohen forcing C, Hechler forcing H, F -Laver forcing L F for a filter F, and F -Mathias forcing R F for a filter F. However, random forcing B does not have a dense stem-linked subset. Philipp Schlicht Variants of Lebesgue s Density Theorem 16/19
17 Counterexamples The translation density property fails for the following tree forcings. Sacks forcing S, Mathias forcing R, Laver forcing L, Miller forcing M, and Silver forcing V. Philipp Schlicht Variants of Lebesgue s Density Theorem 17/19
18 From ideals to forcings Theorem (Ikegami) Suppose that P is a proper tree forcing. Then the map ι: P B/I P that sends T P to the I P -equivalence class represented by [T ] is a dense embedding, where B denotes the class of Borel subsets of ω and B/I P denotes the quotient Boolean algebra. A σ-ideal I on the Borel subsets of ω is homogeneous if there are I-invariant Borel isomorphisms between any two I-positive Borel sets. Philipp Schlicht Variants of Lebesgue s Density Theorem 18/19
19 Open questions Question Does the density property fail for some homogeneous ccc σ-ideal? Question Does the density property hold for some homogeneous non-ccc σ-ideal? Question Is it consistent that there is no definable selector for the equivalence relation equal modulo countable on the class of Borel sets? Philipp Schlicht Variants of Lebesgue s Density Theorem 19/19
Projective measure without projective Baire
Projective measure without projective Baire David Schrittesser Westfälische Wilhems-Universität Münster 4th European Set Theory Conference Barcelona David Schrittesser (WWU Münster) Projective measure
More informationII - 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 informationCantor Groups, Haar Measure and Lebesgue Measure on [0, 1]
Cantor Groups, Haar Measure and Lebesgue Measure on [0, 1] Michael Mislove Tulane University Domains XI Paris Tuesday, 9 September 2014 Joint work with Will Brian Work Supported by US NSF & US AFOSR Lebesgue
More informationThe descriptive set theory of the Lebesgue density theorem. joint with A. Andretta
The descriptive set theory of the Lebesgue density theorem joint with A. Andretta The density function Let (X, d, µ) be a Polish metric space endowed with a Borel probability measure giving positive measures
More informationInfinite Combinatorics, Definability, and Forcing
Infinite Combinatorics, Definability, and Forcing David Schrittesser University of Copenhagen (Denmark) RIMS Workshop on Infinite Combinatorics and Forcing Theory Schrittesser (Copenhagen) Combinatorics,
More informationBorel complexity and automorphisms of C*-algebras
Martino Lupini York University Toronto, Canada January 15th, 2013 Table of Contents 1 Auto-homeomorphisms of compact metrizable spaces 2 Measure preserving automorphisms of probability spaces 3 Automorphisms
More informationSMALL SUBSETS OF THE REALS AND TREE FORCING NOTIONS
SMALL SUBSETS OF THE REALS AND TREE FORCING NOTIONS MARCIN KYSIAK AND TOMASZ WEISS Abstract. We discuss the question which properties of smallness in the sense of measure and category (e.g. being a universally
More informationMeasures. Chapter Some prerequisites. 1.2 Introduction
Lecture notes Course Analysis for PhD students Uppsala University, Spring 2018 Rostyslav Kozhan Chapter 1 Measures 1.1 Some prerequisites I will follow closely the textbook Real analysis: Modern Techniques
More informationA Crash Course in Topological Groups
A Crash Course in Topological Groups Iian B. Smythe Department of Mathematics Cornell University Olivetti Club November 8, 2011 Iian B. Smythe (Cornell) Topological Groups Nov. 8, 2011 1 / 28 Outline 1
More informationMaharam Algebras. Equipe de Logique, Université de Paris 7, 2 Place Jussieu, Paris, France
Maharam Algebras Boban Veličković Equipe de Logique, Université de Paris 7, 2 Place Jussieu, 75251 Paris, France Abstract Maharam algebras are complete Boolean algebras carrying a positive continuous submeasure.
More informationThree hours THE UNIVERSITY OF MANCHESTER. 24th January
Three hours MATH41011 THE UNIVERSITY OF MANCHESTER FOURIER ANALYSIS AND LEBESGUE INTEGRATION 24th January 2013 9.45 12.45 Answer ALL SIX questions in Section A (25 marks in total). Answer THREE of the
More information18.175: 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 informationReminder Notes for the Course on Measures on Topological Spaces
Reminder Notes for the Course on Measures on Topological Spaces T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie
More informationCompact subsets of the Baire space
Compact subsets of the Baire space Arnold W. Miller Nov 2012 Results in this note were obtained in 1994 and reported on at a meeting on Real Analysis in Lodz, Poland, July 1994. Let ω ω be the Baire space,
More informationRegularity and Definability
Regularity and Definability Yurii Khomskii University of Amsterdam PhDs in Logic III Brussels, 17 February 2011 Yurii Khomskii (University of Amsterdam) Regularity and definability PhDs in Logic III 1
More informationReal Analysis Notes. Thomas Goller
Real Analysis Notes Thomas Goller September 4, 2011 Contents 1 Abstract Measure Spaces 2 1.1 Basic Definitions........................... 2 1.2 Measurable Functions........................ 2 1.3 Integration..............................
More information7 About Egorov s and Lusin s theorems
Tel Aviv University, 2013 Measure and category 62 7 About Egorov s and Lusin s theorems 7a About Severini-Egorov theorem.......... 62 7b About Lusin s theorem............... 64 7c About measurable functions............
More informationLuzin and Sierpiński sets meet trees
, based on joint work with R. Ra lowski & Sz. Żeberski Wroc law University of Science and Technology Winter School in Abstract Analysis 2018, section Set Theory and Topology 01.02.2018, Hejnice Definition
More informationg 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 informationThe small ball property in Banach spaces (quantitative results)
The small ball property in Banach spaces (quantitative results) Ehrhard Behrends Abstract A metric space (M, d) is said to have the small ball property (sbp) if for every ε 0 > 0 there exists a sequence
More informationNOTES ON UNIVERSALLY NULL SETS
NOTES ON UNIVERSALLY NULL SETS C. CARUVANA Here, we summarize some results regarding universally null subsets of Polish spaces and conclude with the fact that, following J. Mycielski, one can produce an
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 information4. CLASSICAL FORCING NOTIONS.
4. CLASSICAL FORCING NOTIONS. January 19, 2010 BOHUSLAV BALCAR, balcar@math.cas.cz 1 TOMÁŠ PAZÁK, pazak@math.cas.cz 1 JONATHAN VERNER, jonathan.verner@matfyz.cz 2 We introduce basic examples of forcings,
More informationSEPARABLE MODELS OF RANDOMIZATIONS
SEPARABLE MODELS OF RANDOMIZATIONS URI ANDREWS AND H. JEROME KEISLER Abstract. Every complete first order theory has a corresponding complete theory in continuous logic, called the randomization theory.
More informationA topological semigroup structure on the space of actions modulo weak equivalence.
A topological semigroup structure on the space of actions modulo wea equivalence. Peter Burton January 8, 08 Abstract We introduce a topology on the space of actions modulo wea equivalence finer than the
More informationTree-adjoined spaces and the Hawaiian earring
Tree-adjoined spaces and the Hawaiian earring W. Hojka (TU Wien) Workshop on Fractals and Tilings 2009 July 6-10, 2009, Strobl (Austria) W. Hojka (TU Wien) () Tree-adjoined spaces and the Hawaiian earring
More information9 Radon-Nikodym theorem and conditioning
Tel Aviv University, 2015 Functions of real variables 93 9 Radon-Nikodym theorem and conditioning 9a Borel-Kolmogorov paradox............. 93 9b Radon-Nikodym theorem.............. 94 9c Conditioning.....................
More informationMeasurability Problems for Boolean Algebras
Measurability Problems for Boolean Algebras Stevo Todorcevic Berkeley, March 31, 2014 Outline 1. Problems about the existence of measure 2. Quests for algebraic characterizations 3. The weak law of distributivity
More informationComplexity of Ramsey null sets
Available online at www.sciencedirect.com Advances in Mathematics 230 (2012) 1184 1195 www.elsevier.com/locate/aim Complexity of Ramsey null sets Marcin Sabok Instytut Matematyczny Uniwersytetu Wrocławskiego,
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.
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 informationAnnalee Gomm Math 714: Assignment #2
Annalee Gomm Math 714: Assignment #2 3.32. Verify that if A M, λ(a = 0, and B A, then B M and λ(b = 0. Suppose that A M with λ(a = 0, and let B be any subset of A. By the nonnegativity and monotonicity
More informationx 0 + f(x), exist as extended real numbers. Show that f is upper semicontinuous This shows ( ɛ, ɛ) B α. Thus
Homework 3 Solutions, Real Analysis I, Fall, 2010. (9) Let f : (, ) [, ] be a function whose restriction to (, 0) (0, ) is continuous. Assume the one-sided limits p = lim x 0 f(x), q = lim x 0 + f(x) exist
More informationLecture 3: Probability Measures - 2
Lecture 3: Probability Measures - 2 1. Continuation of measures 1.1 Problem of continuation of a probability measure 1.2 Outer measure 1.3 Lebesgue outer measure 1.4 Lebesgue continuation of an elementary
More informationEventually Different Functions and Inaccessible Cardinals
Eventually Different Functions and Inaccessible Cardinals Jörg Brendle 1, Benedikt Löwe 2,3,4 1 Graduate School of Engineering, Kobe University, Rokko-dai 1-1, Nada, Kobe 657-8501, Japan 2 Institute for
More informationReal Analysis Chapter 1 Solutions Jonathan Conder
3. (a) Let M be an infinite σ-algebra of subsets of some set X. There exists a countably infinite subcollection C M, and we may choose C to be closed under taking complements (adding in missing complements
More informationVARIATIONAL PRINCIPLE FOR THE ENTROPY
VARIATIONAL PRINCIPLE FOR THE ENTROPY LUCIAN RADU. Metric entropy Let (X, B, µ a measure space and I a countable family of indices. Definition. We say that ξ = {C i : i I} B is a measurable partition if:
More informationHypergraphs and proper forcing
Hypergraphs and proper forcing Jindřich Zapletal University of Florida November 23, 2017 Abstract Given a Polish space X and a countable collection of analytic hypergraphs on X, I consider the σ-ideal
More informationProblem 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 informationNotes for Functional Analysis
Notes for Functional Analysis Wang Zuoqin (typed by Xiyu Zhai) September 29, 2015 1 Lecture 09 1.1 Equicontinuity First let s recall the conception of equicontinuity for family of functions that we learned
More information2 Probability, random elements, random sets
Tel Aviv University, 2012 Measurability and continuity 25 2 Probability, random elements, random sets 2a Probability space, measure algebra........ 25 2b Standard models................... 30 2c Random
More informationMeasurability of Intersections of Measurable Multifunctions
preprint Mathematics No. 3/1995, 1-10 Dep. of Mathematics, Univ. of Tr.heim Measurability of Intersections of Measurable Multifunctions Gunnar Taraldsen We prove universal compact-measurability of the
More informationRectifiability of sets and measures
Rectifiability of sets and measures Tatiana Toro University of Washington IMPA February 7, 206 Tatiana Toro (University of Washington) Structure of n-uniform measure in R m February 7, 206 / 23 State of
More informationIntroduction to Hausdorff Measure and Dimension
Introduction to Hausdorff Measure and Dimension Dynamics Learning Seminar, Liverpool) Poj Lertchoosakul 28 September 2012 1 Definition of Hausdorff Measure and Dimension Let X, d) be a metric space, let
More informationMAT1000 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 informationContinuous and Borel Dynamics of Countable Borel Equivalence Relations
Continuous and Borel Dynamics of Countable Borel Equivalence Relations S. Jackson (joint with S. Gao, E. Krohne, and B. Seward) Department of Mathematics University of North Texas June 9, 2015 BLAST 2015,
More informationRANDOMNESS VIA INFINITE COMPUTATION AND EFFECTIVE DESCRIPTIVE SET THEORY
RANDOMNESS VIA INFINITE COMPUTATION AND EFFECTIVE DESCRIPTIVE SET THEORY MERLIN CARL AND PHILIPP SCHLICHT Abstract. We study randomness beyond Π 1 1-randomness and its Martin-Löf type variant, which was
More informationMTH 404: Measure and Integration
MTH 404: Measure and Integration Semester 2, 2012-2013 Dr. Prahlad Vaidyanathan Contents I. Introduction....................................... 3 1. Motivation................................... 3 2. The
More information1.A Topological spaces The initial topology is called topology generated by (f i ) i I.
kechris.tex December 12, 2012 Classical descriptive set theory Notes from [Ke]. 1 1 Polish spaces 1.1 Topological and metric spaces 1.A Topological spaces The initial topology is called topology generated
More informationTHEOREMS, ETC., FOR MATH 515
THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every
More informationMeasures and Measure Spaces
Chapter 2 Measures and Measure Spaces In summarizing the flaws of the Riemann integral we can focus on two main points: 1) Many nice functions are not Riemann integrable. 2) The Riemann integral does not
More informationWHY Y-C.C. DAVID CHODOUNSKÝ AND JINDŘICH ZAPLETAL
WHY Y-C.C. DAVID CHODOUNSKÝ AND JINDŘICH ZAPLETAL Abstract. We outline a portfolio of novel iterable properties of c.c.c. and proper forcing notions and study its most important instantiations, Y-c.c.
More informationCones of measures. Tatiana Toro. University of Washington. Quantitative and Computational Aspects of Metric Geometry
Cones of measures Tatiana Toro University of Washington Quantitative and Computational Aspects of Metric Geometry Based on joint work with C. Kenig and D. Preiss Tatiana Toro (University of Washington)
More informationMeasure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond
Measure Theory on Topological Spaces Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond May 22, 2011 Contents 1 Introduction 2 1.1 The Riemann Integral........................................ 2 1.2 Measurable..............................................
More information3 (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 informationMH 7500 THEOREMS. (iii) A = A; (iv) A B = A B. Theorem 5. If {A α : α Λ} is any collection of subsets of a space X, then
MH 7500 THEOREMS Definition. A topological space is an ordered pair (X, T ), where X is a set and T is a collection of subsets of X such that (i) T and X T ; (ii) U V T whenever U, V T ; (iii) U T whenever
More informationChapter 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 informationLebesgue Measure. Dung Le 1
Lebesgue Measure Dung Le 1 1 Introduction How do we measure the size of a set in IR? Let s start with the simplest ones: intervals. Obviously, the natural candidate for a measure of an interval is its
More informationThe Lebesgue Integral
The Lebesgue Integral Brent Nelson In these notes we give an introduction to the Lebesgue integral, assuming only a knowledge of metric spaces and the iemann integral. For more details see [1, Chapters
More informationvan Rooij, Schikhof: A Second Course on Real Functions
vanrooijschikhof.tex April 25, 2018 van Rooij, Schikhof: A Second Course on Real Functions Notes from [vrs]. Introduction A monotone function is Riemann integrable. A continuous function is Riemann integrable.
More informationLebesgue 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 informationClasses of Polish spaces under effective Borel isomorphism
Classes of Polish spaces under effective Borel isomorphism Vassilis Gregoriades TU Darmstadt October 203, Vienna The motivation It is essential for the development of effective descriptive set theory to
More informationUncountable trees and Cohen κ-reals
Uncountable trees and Cohen -reals Giorgio Laguzzi (U. Freiburg) January 26, 2017 Abstract We investigate some versions of amoeba for tree forcings in the generalized Cantor and Baire spaces. This answers
More informationLecture Notes on Descriptive Set Theory
Lecture Notes on Descriptive Set Theory Jan Reimann Department of Mathematics Pennsylvania State University Notation U ɛ (x) Ball of radius ɛ about x U Topological closure of U 2 < Set of finite binary
More informationWojciech Stadnicki. On Laver extension. Uniwersytet Wrocławski. Praca semestralna nr 2 (semestr letni 2010/11) Opiekun pracy: Janusz Pawlikowski
Wojciech Stadnicki Uniwersytet Wrocławski On Laver extension Praca semestralna nr 2 (semestr letni 2010/11) Opiekun pracy: Janusz Pawlikowski On Laver extension Wojciech Stadnicki Abstract We prove that
More informationFrom Haar to Lebesgue via Domain Theory
From Haar to Lebesgue via Domain Theory Michael Mislove Tulane University Topology Seminar CUNY Queensboro Thursday, October 15, 2015 Joint work with Will Brian Work Supported by US NSF & US AFOSR Lebesgue
More informationUniquely Universal Sets
Uniquely Universal Sets 1 Uniquely Universal Sets Abstract 1 Arnold W. Miller We say that X Y satisfies the Uniquely Universal property (UU) iff there exists an open set U X Y such that for every open
More informationLebesgue 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 informationComputational Logic and Applications KRAKÓW On density of truth of infinite logic. Zofia Kostrzycka University of Technology, Opole, Poland
Computational Logic and Applications KRAKÓW 2008 On density of truth of infinite logic Zofia Kostrzycka University of Technology, Opole, Poland By locally infinite logic, we mean a logic, which in some
More informationChapter 4. Measurable Functions. 4.1 Measurable Functions
Chapter 4 Measurable Functions If X is a set and A P(X) is a σ-field, then (X, A) is called a measurable space. If µ is a countably additive measure defined on A then (X, A, µ) is called a measure space.
More informationVon Neumann s Problem
Von Neumann s Problem Boban Velickovic Equipe de Logique, Université de Paris 7 2 Place Jussieu, 75251 Paris, France Abstract A well known problem of Von Neumann asks if every ccc weakly distributive complete
More informationPlaying with forcing
Winterschool, 2 February 2009 Idealized forcings Many forcing notions arise as quotient Boolean algebras of the form P I = Bor(X )/I, where X is a Polish space and I is an ideal of Borel sets. Idealized
More informationMath 5051 Measure Theory and Functional Analysis I Homework Assignment 2
Math 551 Measure Theory and Functional nalysis I Homework ssignment 2 Prof. Wickerhauser Due Friday, September 25th, 215 Please do Exercises 1, 4*, 7, 9*, 11, 12, 13, 16, 21*, 26, 28, 31, 32, 33, 36, 37.
More informationContents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3
Analysis Math Notes Study Guide Real Analysis Contents Ordered Fields 2 Ordered sets and fields 2 Construction of the Reals 1: Dedekind Cuts 2 Metric Spaces 3 Metric Spaces 3 Definitions 4 Separability
More informationMeasure Theory. John K. Hunter. Department of Mathematics, University of California at Davis
Measure Theory John K. Hunter Department of Mathematics, University of California at Davis Abstract. These are some brief notes on measure theory, concentrating on Lebesgue measure on R n. Some missing
More informationCCC Forcing and Splitting Reals
CCC Forcing and Splitting Reals Boban Velickovic Equipe de Logique, Université de Paris 7 2 Place Jussieu, 75251 Paris, France Abstract Prikry asked if it is relatively consistent with the usual axioms
More informationMeasure and Integration: Concepts, Examples and Exercises. INDER K. RANA Indian Institute of Technology Bombay India
Measure and Integration: Concepts, Examples and Exercises INDER K. RANA Indian Institute of Technology Bombay India Department of Mathematics, Indian Institute of Technology, Bombay, Powai, Mumbai 400076,
More informationA NOTE ON CORRELATION AND LOCAL DIMENSIONS
A NOTE ON CORRELATION AND LOCAL DIMENSIONS JIAOJIAO YANG, ANTTI KÄENMÄKI, AND MIN WU Abstract Under very mild assumptions, we give formulas for the correlation and local dimensions of measures on the limit
More informationORTHOGONAL MEASURES AND ERGODICITY. By Clinton T. Conley Cornell University and. By Benjamin D. Miller Universität Münster
Submitted to the Annals of Probability ORTHOGONAL MEASURES AND ERGODICITY By Clinton T. Conley Cornell University and By Benjamin D. Miller Universität Münster We establish a strengthening of the E 0 dichotomy
More informationON LEFT-INVARIANT BOREL MEASURES ON THE
Georgian International Journal of Science... Volume 3, Number 3, pp. 1?? ISSN 1939-5825 c 2010 Nova Science Publishers, Inc. ON LEFT-INVARIANT BOREL MEASURES ON THE PRODUCT OF LOCALLY COMPACT HAUSDORFF
More informationPart V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory
Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite
More informationMeasure and Category. Marianna Csörnyei. ucahmcs
Measure and Category Marianna Csörnyei mari@math.ucl.ac.uk http:/www.ucl.ac.uk/ ucahmcs 1 / 96 A (very short) Introduction to Cardinals The cardinality of a set A is equal to the cardinality of a set B,
More informationChain Conditions of Horn and Tarski
Chain Conditions of Horn and Tarski Stevo Todorcevic Berkeley, April 2, 2014 Outline 1. Global Chain Conditions 2. The Countable Chain Condition 3. Chain Conditions of Knaster, Shanin and Szpilrajn 4.
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 informationINDEPENDENCE, RELATIVE RANDOMNESS, AND PA DEGREES
INDEPENDENCE, RELATIVE RANDOMNESS, AND PA DEGREES ADAM R. DAY AND JAN REIMANN Abstract. We study pairs of reals that are mutually Martin-Löf random with respect to a common, not necessarily computable
More informationSilver trees and Cohen reals
Silver trees and Cohen reals Otmar Spinas Abstract We prove that the meager ideal M is Tukey reducible to the Mycielski ideal J(Si) which is the ideal associated with Silver forcing Si. This implies add
More informationA Note on the Convergence of Random Riemann and Riemann-Stieltjes Sums to the Integral
Gen. Math. Notes, Vol. 22, No. 2, June 2014, pp.1-6 ISSN 2219-7184; Copyright c ICSRS Publication, 2014 www.i-csrs.org Available free online at http://www.geman.in A Note on the Convergence of Random Riemann
More informationLebesgue 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 informationA thesis. submitted in partial fulfillment. of the requirements for the degree of. Master of Science in Mathematics. Boise State University
THE DENSITY TOPOLOGY ON THE REALS WITH ANALOGUES ON OTHER SPACES by Stuart Nygard A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Mathematics Boise
More informationIndeed, if we want m to be compatible with taking limits, it should be countably additive, meaning that ( )
Lebesgue Measure The idea of the Lebesgue integral is to first define a measure on subsets of R. That is, we wish to assign a number m(s to each subset S of R, representing the total length that S takes
More informationMATS113 ADVANCED MEASURE THEORY SPRING 2016
MATS113 ADVANCED MEASURE THEORY SPRING 2016 Foreword These are the lecture notes for the course Advanced Measure Theory given at the University of Jyväskylä in the Spring of 2016. The lecture notes can
More informationExamples of non-shy sets
F U N D A M E N T A MATHEMATICAE 144 (1994) Examples of non-shy sets by Randall D o u g h e r t y (Columbus, Ohio) Abstract. Christensen has defined a generalization of the property of being of Haar measure
More informationCardinal invariants of closed graphs
Cardinal invariants of closed graphs Francis Adams University of Florida Jindřich Zapletal University of Florida April 28, 2017 Abstract We study several cardinal characteristics of closed graphs G on
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 informationMeasures. 1 Introduction. These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland.
Measures These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland. 1 Introduction Our motivation for studying measure theory is to lay a foundation
More informationFilters and sets of Vitali type
Filters and sets of Vitali type Aleksander Cieślak Wrocław University of Technology 16, section Set Theory and Topology 30.01-06.02.2016, Hejnice Introduction Definition Let F be a nonprincipal filter
More information18.175: Lecture 3 Integration
18.175: Lecture 3 Scott Sheffield MIT Outline Outline Recall definitions Probability space is triple (Ω, F, P) where Ω is sample space, F is set of events (the σ-algebra) and P : F [0, 1] is the probability
More informationLópez-Escobar s theorem and metric structures
López-Escobar s theorem and metric structures Descriptive set theory and its applications AMS Western section meeting Salt Lake, April 2016 Samuel Coskey Boise State University Presenting joint work with
More informationLecture 10. Theorem 1.1 [Ergodicity and extremality] A probability measure µ on (Ω, F) is ergodic for T if and only if it is an extremal point in M.
Lecture 10 1 Ergodic decomposition of invariant measures Let T : (Ω, F) (Ω, F) be measurable, and let M denote the space of T -invariant probability measures on (Ω, F). Then M is a convex set, although
More informationREVIEW OF ESSENTIAL MATH 346 TOPICS
REVIEW OF ESSENTIAL MATH 346 TOPICS 1. AXIOMATIC STRUCTURE OF R Doğan Çömez The real number system is a complete ordered field, i.e., it is a set R which is endowed with addition and multiplication operations
More informationCHAPTER 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