An extended version of the Carathéodory extension Theorem

Similar documents
Measures. 1 Introduction. These preliminary lecture notes are partly based on textbooks by Athreya and Lahiri, Capinski and Kopp, and Folland.

Lecture 3: Probability Measures - 2

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

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

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

Lebesgue Measure on R n

Carathéodory s extension of a measure on a semi-ring

arxiv: v1 [math.fa] 14 Jul 2018

Measures and Measure Spaces

The Caratheodory Construction of Measures

Chapter 4. Measure Theory. 1. Measure Spaces

Construction of a general measure structure

Spring 2014 Advanced Probability Overview. Lecture Notes Set 1: Course Overview, σ-fields, and Measures

Integration on Measure Spaces

µ (X) := inf l(i k ) where X k=1 I k, I k an open interval Notice that is a map from subsets of R to non-negative number together with infinity

(2) E M = E C = X\E M

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

Annalee Gomm Math 714: Assignment #2

Measure and integration

Measures. Chapter Some prerequisites. 1.2 Introduction

Section 2: Classes of Sets

The Kolmogorov extension theorem

(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.

1.4 Outer measures 10 CHAPTER 1. MEASURE

Lebesgue Measure on R n

INTRODUCTION TO FURSTENBERG S 2 3 CONJECTURE

Moreover, µ is monotone, that is for any A B which are both elements of A we have

MATH41011/MATH61011: FOURIER SERIES AND LEBESGUE INTEGRATION. Extra Reading Material for Level 4 and Level 6

MATHS 730 FC Lecture Notes March 5, Introduction

Measure Theory. John K. Hunter. Department of Mathematics, University of California at Davis

Emanuele Bottazzi, University of Trento. January 24-25, 2013, Pisa. Elementary numerosity and measures. Emanuele Bottazzi. Preliminary notions

+ = x. ± if x > 0. if x < 0, x

Lebesgue Measure. Dung Le 1

The Lebesgue Integral

Notes on Measure, Probability and Stochastic Processes. João Lopes Dias

arxiv: v2 [math.gr] 4 Nov 2015

The Uniform Distributions Puzzle

MA359 Measure Theory

CHAPTER 6. Differentiation

INTRODUCTION TO MEASURE THEORY AND LEBESGUE INTEGRATION

2 Construction & Extension of Measures

Lebesgue measure and integration

University of Sheffield. School of Mathematics & and Statistics. Measure and Probability MAS350/451/6352

Real Analysis Chapter 1 Solutions Jonathan Conder

n [ F (b j ) F (a j ) ], n j=1(a j, b j ] E (4.1)

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond

Review of measure theory

THEOREMS, ETC., FOR MATH 516

18.175: Lecture 2 Extension theorems, random variables, distributions

Solutions to Tutorial 1 (Week 2)

Dynkin (λ-) and π-systems; monotone classes of sets, and of functions with some examples of application (mainly of a probabilistic flavor)

Reminder Notes for the Course on Measures on Topological Spaces

Math212a1411 Lebesgue measure.

Chapter 1: Probability Theory Lecture 1: Measure space and measurable function

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

Abstract Measure Theory

DRAFT MAA6616 COURSE NOTES FALL 2015

IRRATIONAL ROTATIONS MOTIVATE MEASURABLE SETS. Rod Nillsen

Indeed, if we want m to be compatible with taking limits, it should be countably additive, meaning that ( )

Measure and Integration: Concepts, Examples and Exercises. INDER K. RANA Indian Institute of Technology Bombay India

Lebesgue Measure. Chapter Lebesgue Outer Measure

RS Chapter 1 Random Variables 6/5/2017. Chapter 1. Probability Theory: Introduction

JORDAN CONTENT. J(P, A) = {m(i k ); I k an interval of P contained in int(a)} J(P, A) = {m(i k ); I k an interval of P intersecting cl(a)}.

Statistics 1 - Lecture Notes Chapter 1

Measure and Integration Summary

MAGIC010 Ergodic Theory Lecture Entropy

Compendium and Solutions to exercises TMA4225 Foundation of analysis

Lebesgue-Radon-Nikodym Theorem

REAL ANALYSIS LECTURE NOTES: 1.4 OUTER MEASURE

02. Measure and integral. 1. Borel-measurable functions and pointwise limits

Analysis of Probabilistic Systems

MEASURABLE PARTITIONS, DISINTEGRATION AND CONDITIONAL MEASURES

Lecture 11: Random Variables

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents

Basic Measure and Integration Theory. Michael L. Carroll

The Banach-Tarski paradox

Probability and Measure

A VERY BRIEF REVIEW OF MEASURE THEORY

MATS113 ADVANCED MEASURE THEORY SPRING 2016

Ergodic Theory and Topological Groups

Final. due May 8, 2012

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

Measure Theory & Integration

MEASURE THEORY AND LEBESGUE INTEGRAL 15

2. Caratheodory s Extension

The small ball property in Banach spaces (quantitative results)

ON DENSITY TOPOLOGIES WITH RESPECT

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

36-752: Lecture 1. We will use measures to say how large sets are. First, we have to decide which sets we will measure.

Introduction to Hausdorff Measure and Dimension

Introduction to Geometric Measure Theory

4. Ergodicity and mixing

2 Probability, random elements, random sets

Measures and integrals

Real Analysis II, Winter 2018

Measure Theory and Integration

1.1. MEASURES AND INTEGRALS

REAL ANALYSIS I Spring 2016 Product Measures

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

Real Analysis Notes. Thomas Goller

Transcription:

An extended version of the Carathéodory extension Theorem Alexandre G. Patriota Departamento de Estatística, Universidade de São Paulo, São Paulo/SP, 05508-090, Brazil Abstract In this paper, we show that the Carathéodory s extension theorem is still valid for a class of subsets of Ω less restricted than a semi-ring, which we call quasi-semi-ring. Key words: Carathéodory s extension theorem, semi-rings, quasi-semi-rings, measure theory, probability theory. 1 Introduction As shown by to paradoxes such as the Banach-Tarski paradox see Banach and Tarski, 1924), it is not always possible to define a measure e.g., Lebesgue measure) in the power set of the main set Ω. Instead, we must restrict our attention to certain measurable subsets of Ω. The Carathéodory s extension theorem basically extends a countably additive premeasure defined in a small class, usually a semi-ring, to a large class of measurable sets that contains the smaller one. The real line is the main motivation for using a semi-ring as the starting class of subsets, because the Borel sigma-algebra can be generated by a class of semi-open intervals, which is a semi-ring see, for instance Halmos, 1974). Therefore, by defining a premeasure on this class of semi-open intervals which is an easy task), an extension to the Borel sigma-algebra which contains non-pathological subsets of R) is readily available through the extension theorem. Gudder 1984) showed that, in some cases, if the initial class A of subsets of Ω is not closed by intersections then the premeasure defined in this colletion cannot be extended to a measure on σa), where σa) is the smallest sigma-algebra that contains A. This demonstrates that, in some way, the closure-by-intersections property is crucial for the extension measure theory. In this paper, we show that it is possible to extend a premesure defined in a specific class A of subsets of Ω, which 1

is not closed by intersections, to a measure on σa). We basically prove that: 1) all elements in this collection are measurable in the sense of Carathéodory s splitting principle ), 2) the extension the outer measure) agrees with the premeasure on the starting collection and 3) it is unique on the smallest ring generated by this collection it is not trivial here, since the starting class of subsets is not a π-system). Some of the proofs given in this note are similar to those in Athreya and Lahiri 2007). Below we define a quasi-semi-ring of subsets which is central for the construction of our theory. DEFINITION 1.1. Let Ω be nonempty. A class A of subsets of Ω is a quasi-semi-ring if the following conditions hold; 1. A, 2. If A, B A, then there exist disjoint subsets B 1,... B n, C 1,..., C k A such that A B = n B i and A B c = k C i, where n, k <, The main difference between a quasi-semi-ring and a semi-ring is that the former may not be closed by finite intersections but the latter must be. It is not hard to see, by the above definition, that a semi-ring is always a quasi-semi-ring, but the converse is not always true. Below, we show some classes of subsets of Ω that are quasi-semi-rings but are not semi-rings. The first two examples are artificial ones, but the last one is more natural. The readers are invited to find other examples. EXAMPLE 1.1. Consider that A, B, C Ω and A = {, A, B, A B C, A B C c, A B c C, A B c C c, A c B C, A c B C c }. Then, A is a quasi-semi-ring but it is not necessarily a semi-ring it is not closed under finite intersections). In order to better understand the above example, the reader should draw a Venn diagram with the sets A, B and C. EXAMPLE 1.2. Suppose that Ω = R 2 and A = {all semi-closed rectangles where base height}. It is not a semi-ring, because some intersections of rectangles do produce squares. On the other hand, every square can be represented by finite union of disjoint rectangles with different base and height. Note also that if A, B A, then A B and A B c may be, rectangles with different base and height or finite unions of disjoint rectangles with different base and heigh. Therefore, A is a quasi-semi-ring. EXAMPLE 1.3. Let Ω be a circle in the plane and assume that A is a class containing all the semiclosed arcs of Ω, assume also that A. It is easy to see that A is not a semi-ring, since it is not closed under intersections. Take the parametrized arcs A = 0, 3π] A and B = π, 5π ] A, then 2 2 A B = π, 3π] 0, π ] / A. On the other hand, it is a quasi-semi-ring, because if A, B A, then 2 2 A B and A B c are unions of semi-closed disjoint arcs or or they are in A. Notice that, A would 2

be a semi-ring if it were defined as the class containing all the semi-closed parametrized arcs of Ω restricted to the interval 0, 2π]. The quasi-semi-ring does not require such restriction. Apparently, a collection of subsets formed by all semi-closed pieces of any smooth close surface is not a semi-ring since some intersections are not semi-closed pieces ), but, on the other hand, it is a quasi-semi-ring since these intersections are formed by union of semi-closed pieces ). With the purpose of proving our results, we use the usual tools firstly introduced in Carathéodory 1918), namely: the outer measure and the Carathéodory s splitting principle the criteria for measurability of sets). Let Ω be nonempty. Given a premeasure µ well-defined in a quasi-semi-ring A i.e., µ ) = 0 and it is countably additive), the outer measure induced by µ as a function of { sets from the power set of Ω to [0, ] is usually defined as µ A) = inf j 1 µa j) : A } j 1 A j, {A j } j 1 A for all A Ω. In this definition, it should be clear that the covers of A have to be formed by countable many sets. The well-known properties of an outer measure are: i) µ ) = 0, ii) µ is monotone and iii) µ is countably subadditive. In this note, we use another equivalent definition of outer measure where the covers are formed by disjoint sets. This will help us to prove that the outer measure equals the premeasure on the quasi-semi-ring. PROPOSITION 1.1. The outer measure induced by µ can alternatively be defined as { } µa) = inf A j, {A j } j 1 A disjoint for all A Ω. j 1 µa j ) : A j 1 Proof. Notice that µ A) µa) for all A Ω, since { {A j } j 1 A disjoint : A } { A j {A j } j 1 A : A A j }. j 1 j 1 Define B 1 = A 1, B 2 = A 2 A c 1, B i = A i A c i 1... A c 1, for i 1. By definition of quasisemi-rings, there exist disjoint sets C1 n,..., Ck n n A such that A n A c n 1 = k n Cn i. Note that A n A c n 1 A c n 2 = k n Cn i A c n 2), therefore exist another disjoint sequence D1,i, n..., Dl n n,i,i A such that Ci n A c n 2) = l i,n j=1 Dn j,i, then A n A c n 1 A c n 2 = k n li,n j=1 Dn j,i. Thus, by repetitively applying this argument, we find that B n = m n Hn i such that H1 n,..., Hm n n A are disjoint sets. As n 1 A n = n 1 B n = mn n 1 Hn i, we have that for each cover of A, {A n } n 1, there exist another cover of A formed by disjoint sets {{Hi n } mn A n = A n n 1 A i ) c ) A n n 1 } n 1 A. Also, observe that )) mn ) n 1 ) A i = A n A i ), 3 H n i

there exist disjoint sets N1 ni,..., N ni µa n ) = m n µhn i ) + n 1 k ni kni j=1 m n µa n ) µhi n ) A such that A n A i = k ni ni µnj ), thus and n 1 µa n ) n 1 j=1 N j ni m n, then by finite additivity µh n i ). Therefore, if A Ω, then µa) µ A) and we conclude that µa) = µ A) for all A Ω. Proposition 1.1 is precisely stating that any cover of any set by elements of A may be taken to be disjoint. In what follows, we present the Carathéodory s splitting principle which defines measurable sets. A set A Ω is said to be µ -mensurable if for all E Ω, µ E) = µ E A) + µ E A c ). The class of all measurable subsets M = {A; A is µ -measurable} is indeed a sigmaalgebra and the triplet Ω, M, µ ) is a measure space independently of the starting class of subsets A the premeasure µ must be countably additive). For recent motivations regarding the measurability principle, we refer the reader to Nillsen 2001) and Koeller 2011). 1.1 Extension Theorem This section establishes that all elements listed in a quasi-semi-ring are measurable and also that the outer measure is equivalent to the premeasure on the quasi-semi-ring. THEOREM 1.1. Extension theorem) Let Ω be nonempty, A a quasi-semi-ring of Ω and µ a countably additive premeasure on A. Then, 1. A M, 2. µ A) = µa) for all A A. Proof. Let A A, E Ω and {A j } j 1 A such that E j 1 A j. Notice that A j = A j A) A j A c ). By definition of quasi-semi-ring, for each j 1 there exist disjoint sets B1, j..., B j k j, C1, j... Cn j j such that A j A = k j Bj i and A j A c = n j Cj i. Therefore, A j = k j By the finite additivity of the premeasure µ we have B j i ) n j C j i ). A k j n j µa j ) = µb j i ) + µc j i ) 4

and Notice that E A j 1 k j µa j ) = µb j i ) + µc j i ). j 1 j 1 j 1 kj Bj i and E Ac nj j 1 Cj i, hence, by definition, µa j ) µ E A) + µ E A c ), j 1 for all covers, {A j } j 1 A, of E. Then, µ E) µ E A) + µ E A c ). By subadditivity we conclude that µ E) = µ E A) + µ E A c ). That is, if A A A M, thus A M, which proves item 1. Now, let A A and suppose that µ A) < if it is infinity the equality is obvious). For each ɛ > 0, there exist a cover of A, {A n } n 1 A such that n j µ A) n 1 µa n ) µ A) + ɛ. 1) Without lost of generality, consider that the cover of A is formed by disjoint sets see Proposition 1.1). Note that A = n 1 A A n), then there exist disjoint sets M n 1,..., M n r n A such that A A n = r n M i n. Therefore, by the countably additive property, we have that: r n ) µa) = µ Mi n = r n µmi n ). n 1 n 1 On the other hand, there exist also disjoint sets N1 n,..., Nw n n A such that A n A c = w n N i n, thus rn ) wn ) A n = A n A) A n A c ) =. By finite additivity of the measure, and n 1 µa n ) = n 1 r n µm n i ) + n 1 w n µa) n 1 µa n ). M n i µn n i ) n 1 N n i r n µm n i ) Then, for each ɛ > 0, µa) n 1 µa n ) µ A) + ɛ implying that µa) µ A). We conclude that µa) = µ A) for all A A. 5

1.2 Uniqueness of the extension As a quasi-semi-ring is not a π-system, the uniqueness of the extension is not guaranteed. In this section, we prove that the extension is unique when restricted to the smallest ring generated by the quasi-semi-ring. PROPOSITION 1.2. If A is a quasi-semi-ring, then ra) = {A : A = k B i, {B i } k A disjoint} is the smallest ring generated by A. Proof. By definition of quasi-semi-ring, if A, B A, then there exist disjoint sequences A 1,..., A k, B 1,..., B n A such that A B = k A i and A B c = n B i. By construction, A ra), thus A, B, A B, A B c ra) A B ra) notice that A and B need not be disjoint sets). Now, let A, B ra), then there exist disjoint sets C 1,..., C k A and D 1,..., D n A such that A = k C i and B = n D i where C i and D j need not be disjoint). Notice that A B = n k j=1 C i D j ) ra), i.e., ra) is closed under finite unions. Note also that A B = n k j=1 C i D j ) with C i D j ra) for all i = 1,..., k and j = 1,..., n, then A B ra), since ra) is closed under finite unions. Finally, as A B c = k C i Dn c Dn 1 c... D1) c and C i Dn c Dn 1 c... D1 c ra) for all i = 1,..., k we have that A B c ra). We conclude that ra) is a ring generated by A. In fact, ra) is the smallest ring generated by A, since all other rings generated by A must be closed under finite unions of sets from A. An alternative proof of Proposition 1.2 is also given in Goguadze 2003). THEOREM 1.2. Let A be a quasi-semi-ring of Ω. Let µ 1 and µ 2 be two countably additive and finite measures defined on M such that µ 1 A) = µ 2 A) for all A A. Then, µ 1 A) = µ 2 A) for all A ra). Proof. Define C = {A ra), µ 1 A) = µ 2 A)}, then A C ra). Let A ra), then A = k D i, with D 1,..., D k A being disjoint sets. Notice that D 1,..., D k C, then µ 1 D i ) = µ 2 D i ) for all i = 1,..., k and by additive property of the involved measures) k ) µ 1 A) = µ 1 D i = k µ 1 D i ) = k k ) µ 2 D i ) = µ 2 D i = µ 2 A) implying that A = k D i C, therefore, ra) C and ra) = C. Next, we establish that if Ω is covered by elementary sets in A of finite premeasure, then every set in A can be represented by a union of disjoint sets in A with also finite premeasure. 6

PROPOSITION 1.3. Let A be a quasi-semi-ring and µ a premeasure defined in A. Assume that there exist a cover {A i } i 1 A for Ω such that µa i ) < for all i 1. Then, for all A A, there exist disjoint sets {C i } i 1 A such that A = i 1 C i with µc i ) < for i 1. Proof. Let {A i } i 1 A such that Ω = i 1 A i with µa i ) < for i 1. By arguments given in Proposition 1.1, we can consider {A i } i 1 disjoint sets. If A A, then A = i 1 A i A), since A i 1 A i. There exist a disjoint sequence B i,1,..., B i,ki A such that A i A = k i j=1 B i,j. By monotonicity, we have that µb i,j ) < for all i, j since B i,j A i for all i, j). Therefore, exist a disjoint sequence of sets {{B i,j } k i j=1 } i 1 A such that for all j = 1,..., k i and i 1. A = i 1 k i j=1 B i,j and µb i,j ) < Now, we can extend Theorem 1.2 to the case of sigma-finite measures. THEOREM 1.3. Uniqueness theorem) Let A be a quasi-semi-ring of Ω and µ a countably additive) sigma-finite measure i.e., there exist {A i } i 1 A such that Ω = i 1 A i with µa i ) < for i 1). Then, µ is the unique extension on ra) that agrees with µ on A. Proof. Suppose that there exist another measure ν on ra) that agrees with µ on A. By Proposition 1.3, every set in A can be expressed as union of disjoint sets in A of finite premeasure. By assumption, ν and µ must agree for each one of these elementary sets in A with finite premeasure, by countably additive, we conclude that ν agree with µ for every set in the ring since the sets in ra) can be represented by finite unions of disjoint elementary sets in A of finite measures). The smallest sigma-algebra generated by A is the smallest sigma-algebra generated by ra). It is known that if two sigma-finite measures agree on the ring ra) they must agree on the smallest sigma algebra generated by ra) see, for instance, Schilling, 2005, Theorem 6.1). Therefore, two sigma-finite premeasures defined on A must agree in the smallest sigma-algebra generated by A. We end the paper with the following results which are applications of the Theorem 1.3. COROLLARY 1.1. Let µ and ν be two measures on the measurable space Ω, σa)) and let A be a quasi-semi-ring. If µ ν restricted to A and if there exist {A i } i 1 A such that Ω = i 1 A i with νa i ) < for i 1, then µ ν on σa). COROLLARY 1.2. Let Ω, σa), µ) be a mesure space, where A is a quasi-semi-ring. Let T : Ω Ω be a measurable trasformation. If µt 1 A)) = µa) for all A A, then µt 1 A)) = µa) for all A σa). 7

Acknowledgments I gratefully acknowledge grants from FAPESP Brazil). I wish to thank Professor Nelson Ithiro Tanaka for valuable comments and discussions on this manuscript. References Athreya, KB and Lahiri, SN 2007). Measure theory and Probability theory, Springer. Banach, S and Tarski, A 1924). Sur la dcomposition des ensembles de points en parties respectivement congruentes, Fundamenta Mathematicae, 6, 244-277. Link: http://matwbn.icm.edu.pl/ksiazki/fm/fm6/fm6127.pdf. Carathéodory, C 1948). Vorlesungen ber reelle Funktionen, 1st ed, Berlin: Leipzig 1918, 2nd ed, New York: Chelsea 1948. Goguadze, DF 2003). About the Notion of Semiring of Sets, Mathematical Notes, 74, 346 351. Gudder, SP 1984). An Extension of Classical Measure Theory, Society for Industrial and Applied Mathematics, 26, 71 89. Nillsen, R 2001). Irrational rotations motivate measurable sets, Elemente der Mathematik, 56, 105 121. Koeller, AN 2011). Outer measure preserving ergodic transformations generate the Carathéodory definition of measurable sets, Link: http://arxiv.org/abs/1101.1532 Schilling, RL 2005). Measures, Integrals and Martingales, Cambridge University Press. Halmos, PR 1974). Measure theory, Springer-Verlag. 8